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Elsamadicy AA, Koo AB, Reeves BC, Cross JL, Hersh A, Hengartner AC, Karhade AV, Pennington Z, Akinduro OO, Larry Lo SF, Gokaslan ZL, Shin JH, Mendel E, Sciubba DM. Utilization of Machine Learning to Model Important Features of 30-day Readmissions following Surgery for Metastatic Spinal Column Tumors: The Influence of Frailty. Global Spine J 2024; 14:1227-1237. [PMID: 36318478 DOI: 10.1177/21925682221138053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Abstract
STUDY DESIGN Retrospective cohort study. OBJECTIVE The aim of this study was to determine the relative importance and predicative power of the Hospital Frailty Risk Score (HFRS) on unplanned 30-day readmission after surgical intervention for metastatic spinal column tumors. METHODS All adult patients undergoing surgery for metastatic spinal column tumor were identified in the Nationwide Readmission Database from the years 2016 to 2018. Patients were categorized into 3 cohorts based on the criteria of the HFRS: Low(<5), Intermediate(5-14.9), and High(≥ 15). Random Forest (RF) classification was used to construct predictive models for 30-day patient readmission. Model performance was examined using the area under the receiver operating curve (AUC), and the Mean Decrease Gini (MDG) metric was used to quantify and rank features by relative importance. RESULTS There were 4346 patients included. The proportion of patients who required any readmission were higher among the Intermediate and High frailty cohorts when compared to the Low frailty cohort (Low:33.9% vs. Intermediate:39.3% vs. High:39.2%, P < .001). An RF classifier was trained to predict 30-day readmission on all features (AUC = .60) and architecturally equivalent model trained using only ten features with highest MDG (AUC = .59). Both models found frailty to have the highest importance in predicting risk of readmission. On multivariate regression analysis, Intermediate frailty [OR:1.32, CI(1.06,1.64), P = .012] was found to be an independent predictor of unplanned 30-day readmission. CONCLUSION Our study utilizes machine learning approaches and predictive modeling to identify frailty as a significant risk-factor that contributes to unplanned 30-day readmission after spine surgery for metastatic spinal column metastases.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - James L Cross
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Aditya V Karhade
- Department of Orthopedics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Jin MC, Connolly ID, Ravi K, Tobert DG, MacDonald SM, Shin JH. Unraveling molecular advancements in chordoma tumorigenesis and treatment response: a review of scientific discoveries and clinical implications. Neurosurg Focus 2024; 56:E18. [PMID: 38691860 DOI: 10.3171/2024.2.focus2417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 02/27/2024] [Indexed: 05/03/2024]
Abstract
Chordomas are tumors thought to originate from notochordal remnants that occur in midline structures from the cloves of the skull base to the sacrum. In adults, the most common location is the sacrum, followed by the clivus and then mobile spine, while in children a clival origin is most common. Most chordomas are slow growing. Clinical presentation of chordomas tend to occur late, with local invasion and large size often complicating surgical intervention. Radiation therapy with protons has been proven to be an effective adjuvant therapy. Unfortunately, few adjuvant systemic treatments have demonstrated significant effectiveness, and chordomas tend to recur despite intensive multimodal care. However, insight into the molecular underpinnings of chordomas may guide novel therapeutic approaches including selection for immune and molecular therapies, individualized prognostication of outcomes, and real-time noninvasive assessment of disease burden and evolution. At the genomic level, elevated levels of brachyury stemming from duplications and mutations resulting in altered transcriptional regulation may introduce druggable targets for new surgical adjuncts. Transcriptome and epigenome profiling have revealed promoter- and enhancer-dependent mechanisms of protein regulation, which may influence therapeutic response and long-term disease history. Continued scientific and clinical advancements may offer further opportunities for treatment of chordomas. Single-cell transcriptome profiling has further provided insight into the heterogeneous molecular pathways contributing to chordoma propagation. New technologies such as spatial transcriptomics and emerging biochemical analytes such as cell-free DNA have further augmented the surgeon-clinician's armamentarium by facilitating detailed characterization of intra- and intertumoral biology while also demonstrating promise for point-of-care tumor quantitation and assessment. Recent and ongoing clinical trials highlight accelerating interest to translate laboratory breakthroughs in chordoma biology and immunology into clinical care. In this review, the authors dissect the landmark studies exploring the molecular pathogenesis of chordoma. Incorporating this into an outline of ongoing clinical trials and discussion of emerging technologies, the authors aimed to summarize recent advancements in understanding chordoma pathogenesis and how neurosurgical care of chordomas may be augmented by improvements in adjunctive treatments.
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Affiliation(s)
- Michael C Jin
- 1Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | | | - Karthik Ravi
- 1Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
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Ali R, Connolly ID, Tang OY, Mirza FN, Johnston B, Abdulrazeq HF, Lim RK, Galamaga PF, Libby TJ, Sodha NR, Groff MW, Gokaslan ZL, Telfeian AE, Shin JH, Asaad WF, Zou J, Doberstein CE. Author Correction: Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. NPJ Digit Med 2024; 7:93. [PMID: 38609435 PMCID: PMC11015017 DOI: 10.1038/s41746-024-01099-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024] Open
Affiliation(s)
- Rohaid Ali
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA.
- Norman Prince Neurosciences Institute, Providence, RI, USA.
| | - Ian D Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Oliver Y Tang
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Fatima N Mirza
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Benjamin Johnston
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hael F Abdulrazeq
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
| | - Rachel K Lim
- Department of Surgery & Division of Cardiothoracic Surgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Tiffany J Libby
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Neel R Sodha
- Department of Surgery & Division of Cardiothoracic Surgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Michael W Groff
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
| | - Albert E Telfeian
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Wael F Asaad
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - James Zou
- Departments of Electrical Engineering, Biomedical Data Science, and Computer Science, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Curtis E Doberstein
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
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Ali R, Connolly ID, Tang OY, Mirza FN, Johnston B, Abdulrazeq HF, Lim RK, Galamaga PF, Libby TJ, Sodha NR, Groff MW, Gokaslan ZL, Telfeian AE, Shin JH, Asaad WF, Zou J, Doberstein CE. Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. NPJ Digit Med 2024; 7:63. [PMID: 38459205 PMCID: PMC10923794 DOI: 10.1038/s41746-024-01039-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 02/14/2024] [Indexed: 03/10/2024] Open
Abstract
Despite the importance of informed consent in healthcare, the readability and specificity of consent forms often impede patients' comprehension. This study investigates the use of GPT-4 to simplify surgical consent forms and introduces an AI-human expert collaborative approach to validate content appropriateness. Consent forms from multiple institutions were assessed for readability and simplified using GPT-4, with pre- and post-simplification readability metrics compared using nonparametric tests. Independent reviews by medical authors and a malpractice defense attorney were conducted. Finally, GPT-4's potential for generating de novo procedure-specific consent forms was assessed, with forms evaluated using a validated 8-item rubric and expert subspecialty surgeon review. Analysis of 15 academic medical centers' consent forms revealed significant reductions in average reading time, word rarity, and passive sentence frequency (all P < 0.05) following GPT-4-faciliated simplification. Readability improved from an average college freshman to an 8th-grade level (P = 0.004), matching the average American's reading level. Medical and legal sufficiency consistency was confirmed. GPT-4 generated procedure-specific consent forms for five varied surgical procedures at an average 6th-grade reading level. These forms received perfect scores on a standardized consent form rubric and withstood scrutiny upon expert subspeciality surgeon review. This study demonstrates the first AI-human expert collaboration to enhance surgical consent forms, significantly improving readability without sacrificing clinical detail. Our framework could be extended to other patient communication materials, emphasizing clear communication and mitigating disparities related to health literacy barriers.
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Affiliation(s)
- Rohaid Ali
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA.
- Norman Prince Neurosciences Institute, Providence, RI, USA.
| | - Ian D Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Oliver Y Tang
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Fatima N Mirza
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Benjamin Johnston
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hael F Abdulrazeq
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
| | - Rachel K Lim
- Department of Surgery & Division of Cardiothoracic Surgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Tiffany J Libby
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Neel R Sodha
- Department of Surgery & Division of Cardiothoracic Surgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Michael W Groff
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
| | - Albert E Telfeian
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Wael F Asaad
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - James Zou
- Departments of Electrical Engineering, Biomedical Data Science, and Computer Science, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Curtis E Doberstein
- Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
- Norman Prince Neurosciences Institute, Providence, RI, USA
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Elsamadicy AA, Sayeed S, Sherman JJZ, Craft S, Reeves BC, Hengartner AC, Koo AB, Larry Lo SF, Shin JH, Mendel E, Sciubba DM. Racial/Ethnic Disparities Among Patients Undergoing Anterior Cervical Discectomy and Fusion or Posterior Cervical Decompression and Fusion for Cervical Spondylotic Myelopathy: A National Administrative Database Analysis. World Neurosurg 2024; 183:e372-e385. [PMID: 38145651 DOI: 10.1016/j.wneu.2023.12.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 12/18/2023] [Indexed: 12/27/2023]
Abstract
INTRODUCTION The aim of this study was to investigate the impact of racial disparities on surgical outcomes for cervical spondylotic myelopathy (CSM). METHODS Adult patients undergoing anterior cervical discectomy and fusion (ACDF) or posterior cervical decompression and fusion (PCDF) for CSM were identified from the 2016 to 019 National Inpatient Sample Database using the International Classification of Diseases codes. Patients were categorized based on approach (ACDF or PCDF) and race/ethnicity (White, Black, Hispanic). Patient demographics, comorbidities, operative characteristics, adverse events, and health care resource utilization were assessed. Multivariate logistic regression analyses were used to identify independent predictors of extended length of stay (LOS), nonroutine discharge (NRD), and exorbitant costs. RESULTS A total of 46,500 patients were identified, of which 36,015 (77.5%) were White, 7465 (16.0%) were Black, and 3020 (6.5%) were Hispanic. Black and Hispanic patients had a greater comorbidity burden compared to White patients (P = 0.001) and a greater incidence of any postoperative complication (P = 0.001). Healthcare resource utilization were greater in the PCDF cohort than the ACDF cohort and greater in Black and Hispanic patients compared to White patients (P < 0.001). Black and Hispanic patient race were significantly associated with extended hospital LOS ([Black] odds ratio [OR]: 2.24, P < 0.001; [Hispanic] OR: 1.64, P < 0.001) and NRD ([Black] OR: 2.33, P < 0.001; [Hispanic] OR: 1.49, P = 0.016). Among patients who underwent PCDF, Black race was independently associated with extended hospital LOS ([Black] OR: 1.77, P < 0.001; [Hispanic] OR: 1.47, P = 0.167) and NRD ([Black] OR: 1.82, P < 0.001; [Hispanic] OR: 1.38, P = 0.052). CONCLUSIONS Our study suggests that patient race may influence patient outcomes and healthcare resource utilization following ACDF or PCDF for CSM.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA.
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center, North Shore University Hospital, Northwell Health, Manhasset, New York, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center, North Shore University Hospital, Northwell Health, Manhasset, New York, USA
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Khalid SI, Massaad E, Kiapour A, Bridge CP, Rigney G, Burrows A, Shim J, De la Garza Ramos R, Tobert DG, Schoenfeld AJ, Williamson T, Shankar GM, Shin JH. Machine learning-based detection of sarcopenic obesity and association with adverse outcomes in patients undergoing surgical treatment for spinal metastases. J Neurosurg Spine 2024; 40:291-300. [PMID: 38039533 DOI: 10.3171/2023.9.spine23864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/21/2023] [Indexed: 12/03/2023]
Abstract
OBJECTIVE The distributions and proportions of lean and fat tissues may help better assess the prognosis and outcomes of patients with spinal metastases. Specifically, in obese patients, sarcopenia may be easily overlooked as a poor prognostic indicator. The role of this body phenotype, sarcopenic obesity (SO), has not been adequately studied among patients undergoing surgical treatment for spinal metastases. To this end, here the authors investigated the role of SO as a potential prognostic factor in patients undergoing surgical treatment for spinal metastases. METHODS The authors identified patients who underwent surgical treatment for spinal metastases between 2010 and 2020. A validated deep learning approach evaluated sarcopenia and adiposity on routine preoperative CT images. Based on composition analyses, patients were classified with SO or nonsarcopenic obesity. After nearest-neighbor propensity matching that accounted for confounders, the authors compared the rates and odds of postoperative complications, length of stay, 30-day readmission, and all-cause mortality at 90 days and 1 year between the SO and nonsarcopenic obesity groups. RESULTS A total of 62 patients with obesity underwent surgical treatment for spinal metastases during the study period. Of these, 37 patients had nonsarcopenic obesity and 25 had SO. After propensity matching, 50 records were evaluated that were equally composed of patients with nonsarcopenic obesity and SO (25 patients each). Patients with SO were noted to have increased odds of nonhome discharge (OR 6.0, 95% CI 1.69-21.26), 30-day readmission (OR 3.27, 95% CI 1.01-10.62), and 90-day (OR 4.85, 95% CI 1.29-18.26) and 1-year (OR 3.78, 95% CI 1.17-12.19) mortality, as well as increased time to mortality after surgery (12.60 ± 19.84 months vs 37.16 ± 35.19 months, p = 0.002; standardized mean difference 0.86). No significant differences were noted in terms of length of stay or postoperative complications when comparing the two groups (p > 0.05). CONCLUSIONS The SO phenotype was associated with increased odds of nonhome discharge, readmission, and postoperative mortality. This study suggests that SO may be an important prognostic factor to consider when developing care plans for patients with spinal metastases.
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Affiliation(s)
- Syed I Khalid
- Departments of1Neurosurgery and
- 2Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois
| | | | | | - Christopher P Bridge
- 3Massachusetts General Hospital and Brigham and Women's Hospital Center for Clinical Data Science, Boston, Massachusetts
| | | | | | | | - Rafael De la Garza Ramos
- 4Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island; and
| | - Daniel G Tobert
- 5Orthopedic Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Andrew J Schoenfeld
- 6Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, Massachusetts
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Farber SH, Walker CT, Zhou JJ, Godzik J, Gandhi SV, de Andrada Pereira B, Koffie RM, Xu DS, Sciubba DM, Shin JH, Steinmetz MP, Wang MY, Shaffrey CI, Kanter AS, Yen CP, Chou D, Blaskiewicz DJ, Phillips FM, Park P, Mummaneni PV, Fessler RD, Härtl R, Glassman SD, Koski T, Deviren V, Taylor WR, Kakarla UK, Turner JD, Uribe JS. Reliability of a Novel Classification System for Thoracic Disc Herniations. Spine (Phila Pa 1976) 2024; 49:341-348. [PMID: 37134139 DOI: 10.1097/brs.0000000000004701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/14/2022] [Indexed: 05/04/2023]
Abstract
STUDY DESIGN This is a cross-sectional survey. OBJECTIVE The aim was to assess the reliability of a proposed novel classification system for thoracic disc herniations (TDHs). SUMMARY OF BACKGROUND DATA TDHs are complex entities varying substantially in many factors, including size, location, and calcification. To date, no comprehensive system exists to categorize these lesions. METHODS Our proposed system classifies 5 types of TDHs using anatomic and clinical characteristics, with subtypes for calcification. Type 0 herniations are small (≤40% of spinal canal) TDHs without significant spinal cord or nerve root effacement; type 1 are small and paracentral; type 2 are small and central; type 3 are giant (>40% of spinal canal) and paracentral; and type 4 are giant and central. Patients with types 1 to 4 TDHs have correlative clinical and radiographic evidence of spinal cord compression. Twenty-one US spine surgeons with substantial TDH experience rated 10 illustrative cases to determine the system's reliability. Interobserver and intraobserver reliability were determined using the Fleiss kappa coefficient. Surgeons were also surveyed to obtain consensus on surgical approaches for the various TDH types. RESULTS High agreement was found for the classification system, with 80% (range 62% to 95%) overall agreement and high interrater and intrarater reliability (kappa 0.604 [moderate to substantial agreement] and kappa 0.630 [substantial agreement], respectively). All surgeons reported nonoperative management of type 0 TDHs. For type 1 TDHs, most respondents (71%) preferred posterior approaches. For type 2 TDHs, responses were roughly equivalent for anterolateral and posterior options. For types 3 and 4 TDHs, most respondents (72% and 68%, respectively) preferred anterolateral approaches. CONCLUSIONS This novel classification system can be used to reliably categorize TDHs, standardize description, and potentially guide the selection of surgical approach. Validation of this system with regard to treatment and clinical outcomes represents a line of future study.
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Affiliation(s)
- S Harrison Farber
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Corey T Walker
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - James J Zhou
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Jakub Godzik
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Shashank V Gandhi
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Bernardo de Andrada Pereira
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Robert M Koffie
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - David S Xu
- Department of Neurosurgery, Baylor University, Houston, TX
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra University, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Brigham and Women's Hospital, Boston, MA
| | | | - Michael Y Wang
- Department of Neurosurgery, University of Miami, Miami Hospital, Miami, FL
| | | | - Adam S Kanter
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Chun-Po Yen
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, VA
| | - Dean Chou
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA
| | | | - Frank M Phillips
- Department of Neurological Surgery, Rush University, Chicago, IL
| | - Paul Park
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI
| | - Praveen V Mummaneni
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA
| | | | - Roger Härtl
- Department of Neurosurgery, Weill Cornell Medicine, New York, NY
| | | | - Tyler Koski
- Department of Neurological Surgery, Northwestern University, Chicago, IL
| | - Vedat Deviren
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA
| | - William R Taylor
- Department of Neurosurgery, University of California San Diego, San Diego, CA
| | - U Kumar Kakarla
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Jay D Turner
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
| | - Juan S Uribe
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ
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Khalid SI, Mirpuri P, Massaad E, Thomson KB, Kiapour A, Shin JH, Adogwa O. The Impact of Preoperative Spinal Injection Timing on Postoperative Complications of Lumbar Decompression Surgery. Neurosurgery 2024:00006123-990000000-01060. [PMID: 38376173 DOI: 10.1227/neu.0000000000002857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 12/19/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Epidural steroid injections (ESIs) are commonly used for lower back pain management. The effect of these injections on lumbar decompression surgery outcomes is hitherto underexplored. The study objective was to determine the impact of ESIs on postoperative rates of medical and surgical complications and to define the appropriate interval before lumbar decompression surgery. METHODS This retrospective all-payer database analysis identified 587 651 adult patients undergoing one- to three-level laminectomies from January 2010 to October 2021. A 2:1 propensity score match accounting for comorbidities, levels of surgery, and demographics was performed to create two cohorts: (1) 43 674 patients who had received an ESI in the 90 days before laminectomy and (2) 87 348 patients who had not received an ESI. The primary outcome was the rates of medical and surgical complications between groups at 30 days postoperatively. Patients were divided into five cohorts based on injection time before surgery: 1 to 30 days, 31 to 45 days, 46 to 60 days, 61 to 75 days, and 76 to 90 days. Logistic regression was performed between groups to identify temporal associations of complication rates. Confidence intervals of 95% are provided when appropriate. P values < .01 were considered significant. RESULTS Rates of medical complications within 30 days of surgery were significantly higher in those with ESI compared with control (4.83% vs 3.9%, P < .001). Cerebrospinal fluid (CSF) leak rates were increased in the ESI group at 0.28% vs 0.1% (P < .001), but surgical site infection rates were not significantly different between groups (1.31% vs 1.42% P = .11). ESI performed within 30 days was associated with increased odds of CSF leak (OR: 5.32, 95% CI: 3.96-7.15). CONCLUSION Preoperative ESI increases the risk of CSF leak and medical complications after lumbar decompression. Because these complications were significantly associated with ESIs given 1 to 30 days before surgery, avoiding ESIs at least 30 days before surgery may be advisable.
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Affiliation(s)
- Syed I Khalid
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Elie Massaad
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Ali Kiapour
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Owoicho Adogwa
- Department of Neurosurgery, University of Cincinnati, Cincinnati, Ohio, USA
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9
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Meisel HJ, Jain A, Wu Y, Martin CT, Cabrera JP, Muthu S, Hamouda WO, Rodrigues-Pinto R, Arts JJ, Viswanadha AK, Vadalà G, Vergroesen PPA, Ćorluka S, Hsieh PC, Demetriades AK, Watanabe K, Shin JH, Riew KD, Papavero L, Liu G, Luo Z, Ahuja S, Fekete T, Uz Zaman A, El-Sharkawi M, Sakai D, Cho SK, Wang JC, Yoon T, Santesso N, Buser Z. AO Spine Guideline for the Use of Osteobiologics (AOGO) in Anterior Cervical Discectomy and Fusion for Spinal Degenerative Cases. Global Spine J 2024; 14:6S-13S. [PMID: 38421322 PMCID: PMC10913909 DOI: 10.1177/21925682231178204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
STUDY DESIGN Guideline. OBJECTIVES To develop an international guideline (AOGO) about the use of osteobiologics in anterior cervical discectomy and fusion (ACDF) for treating degenerative spine conditions. METHODS The guideline development process was guided by AO Spine Knowledge Forum Degenerative (KF Degen) and followed the Guideline International Network McMaster Guideline Development Checklist. The process involved 73 participants with expertise in degenerative spine diseases and surgery from 22 countries. Fifteen systematic reviews were conducted addressing respective key topics and evidence was collected. The methodologist compiled the evidence into GRADE Evidence-to-Decision frameworks. Guideline panel members judged the outcomes and other criteria and made the final recommendations through consensus. RESULTS Five conditional recommendations were created. A conditional recommendation is about the use of allograft, autograft or a cage with an osteobiologic in primary ACDF surgery. Other conditional recommendations are about the use of osteobiologic for single- or multi-level ACDF, and for hybrid construct surgery. It is suggested that surgeons use other osteobiologics rather than human bone morphogenetic protein-2 (BMP-2) in common clinical situations. Surgeons are recommended to choose 1 graft over another or 1 osteobiologic over another primarily based on clinical situation, and the costs and availability of the materials. CONCLUSION This AOGO guideline is the first to provide recommendations for the use of osteobiologics in ACDF. Despite the comprehensive searches for evidence, there were few studies completed with small sample sizes and primarily as case series with inherent risks of bias. Therefore, high-quality clinical evidence is demanded to improve the guideline.
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Affiliation(s)
- Hans Jörg Meisel
- Department of Neurosurgery, BG Klinikum Bergmannstrost Halle, Halle, Germany
| | - Amit Jain
- Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Yabin Wu
- Research Department, AO Spine, AO Foundation, Davos, Switzerland
| | - Christopher T Martin
- Department of Orthopaedic Surgery, University of Minnesota, Minneapolis, MN, USA
| | - Juan Pablo Cabrera
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, Concepción, Chile; Faculty of Medicine, University of Concepción, Concepción, Chile
| | - Sathish Muthu
- Department of Orthopaedics, Government Medical College, Dindigul, India; Orthopaedic Research Group, Coimbatore, TN, India
| | - Waeel O Hamouda
- Department of Neurosurgery, Kasr Alainy Faculty of Medicine, Research, and Teaching Hospitals, Cairo University, Cairo, Egypt; Neurological & Spinal Surgery Service, Security Forces Hospital, Dammam, Saudi Arabia
| | - Ricardo Rodrigues-Pinto
- Spinal Unit (UVM), Department of Orthopaedics, Centro Hospitalar Universitário do Porto, Porto, Portugal; Hospital CUF Trindade, Porto, Portugal; Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
| | - Jacobus J Arts
- Laboratory for Experimental Orthopaedics, Department of Orthopaedic Surgery, CAPHRI, Maastricht University Medical Center, Maastricht, The Netherlands; Orthopaedic Biomechanics, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | | | - Gianluca Vadalà
- Operative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy; Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | | | - Stipe Ćorluka
- Spinal Surgery Division, Department of Traumatology, University Hospital Centre Sestre Milosrdnice, Zagreb, Croatia; Department of Anatomy and Physiology, University of Applied Health Sciences, Zagreb, Croatia
| | - Patrick C Hsieh
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Kota Watanabe
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - K Daniel Riew
- Department of Neurological Surgery, Weill Cornell Medical College, Cornell University, New York, NY, USA; Department of Orthopedic Surgery, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Luca Papavero
- Clinic for Spine Surgery, Schoen Clinic Hamburg Eilbek, Hamburg, Germany
| | - Gabriel Liu
- Department of Orthopedic Surgery, National University Hospital, Singapore, Singapore
| | - Zhuojing Luo
- Department of Orthopaedic Surgery, Xijing Hospital, Xi'an, China
| | - Sashin Ahuja
- Welsh Centre for Spinal Surgery & Trauma, Department of Spine Surgery, University Hospital of Wales, Cardiff, UK
| | - Tamás Fekete
- Spine Center Division, Schulthess Klinik, Zurich, Switzerland
| | - Atiq Uz Zaman
- Orthopaedic and Spine Surgery Department, Lahore Medical and Dental College, Ghurki Trust Teaching Hospital, Lahore, Pakistan
| | - Mohammad El-Sharkawi
- Department of Orthopaedic and Trauma Surgery, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Daisuke Sakai
- Department of Orthopaedic Surgery, Tokai University School of Medicine, Isehara, Japan
| | - Samuel K Cho
- Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey C Wang
- Department of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tim Yoon
- Department of Orthopaedics, Emory University, Atlanta, GA, USA
| | - Nancy Santesso
- Department of Health Research Methods Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Zorica Buser
- Gerling Institute, Brooklyn, NY, USA; Department of Orthopedic Surgery, NYU Grossman School of Medicine, New York, NY, USA
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10
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Ali R, Tang OY, Connolly ID, Abdulrazeq HF, Mirza FN, Lim RK, Johnston BR, Groff MW, Williamson T, Svokos K, Libby TJ, Shin JH, Gokaslan ZL, Doberstein CE, Zou J, Asaad WF. Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators. JAMA Surg 2024; 159:87-95. [PMID: 37966807 PMCID: PMC10782243 DOI: 10.1001/jamasurg.2023.5695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/25/2023] [Indexed: 11/16/2023]
Abstract
Importance The progression of artificial intelligence (AI) text-to-image generators raises concerns of perpetuating societal biases, including profession-based stereotypes. Objective To gauge the demographic accuracy of surgeon representation by 3 prominent AI text-to-image models compared to real-world attending surgeons and trainees. Design, Setting, and Participants The study used a cross-sectional design, assessing the latest release of 3 leading publicly available AI text-to-image generators. Seven independent reviewers categorized AI-produced images. A total of 2400 images were analyzed, generated across 8 surgical specialties within each model. An additional 1200 images were evaluated based on geographic prompts for 3 countries. The study was conducted in May 2023. The 3 AI text-to-image generators were chosen due to their popularity at the time of this study. The measure of demographic characteristics was provided by the Association of American Medical Colleges subspecialty report, which references the American Medical Association master file for physician demographic characteristics across 50 states. Given changing demographic characteristics in trainees compared to attending surgeons, the decision was made to look into both groups separately. Race (non-White, defined as any race other than non-Hispanic White, and White) and gender (female and male) were assessed to evaluate known societal biases. Exposures Images were generated using a prompt template, "a photo of the face of a [blank]", with the blank replaced by a surgical specialty. Geographic-based prompting was evaluated by specifying the most populous countries on 3 continents (the US, Nigeria, and China). Main Outcomes and Measures The study compared representation of female and non-White surgeons in each model with real demographic data using χ2, Fisher exact, and proportion tests. Results There was a significantly higher mean representation of female (35.8% vs 14.7%; P < .001) and non-White (37.4% vs 22.8%; P < .001) surgeons among trainees than attending surgeons. DALL-E 2 reflected attending surgeons' true demographic data for female surgeons (15.9% vs 14.7%; P = .39) and non-White surgeons (22.6% vs 22.8%; P = .92) but underestimated trainees' representation for both female (15.9% vs 35.8%; P < .001) and non-White (22.6% vs 37.4%; P < .001) surgeons. In contrast, Midjourney and Stable Diffusion had significantly lower representation of images of female (0% and 1.8%, respectively; P < .001) and non-White (0.5% and 0.6%, respectively; P < .001) surgeons than DALL-E 2 or true demographic data. Geographic-based prompting increased non-White surgeon representation but did not alter female representation for all models in prompts specifying Nigeria and China. Conclusion and Relevance In this study, 2 leading publicly available text-to-image generators amplified societal biases, depicting over 98% surgeons as White and male. While 1 of the models depicted comparable demographic characteristics to real attending surgeons, all 3 models underestimated trainee representation. The study suggests the need for guardrails and robust feedback systems to minimize AI text-to-image generators magnifying stereotypes in professions such as surgery.
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Affiliation(s)
- Rohaid Ali
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Oliver Y. Tang
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ian D. Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Boston
| | - Hael F. Abdulrazeq
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Fatima N. Mirza
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Rachel K. Lim
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | | | - Michael W. Groff
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | - Konstantina Svokos
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Tiffany J. Libby
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - John H. Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston
| | - Ziya L. Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Curtis E. Doberstein
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - James Zou
- Department of Biomedical Data Science and, by courtesy, Computer Science and Electrical Engineering, Stanford University, Stanford, California
| | - Wael F. Asaad
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Department of Neuroscience, Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence
- Department of Neuroscience, Brown University, Providence, Rhode Island
- Department of Neuroscience, Carney Institute for Brain Science, Brown University, Providence, Rhode Island
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11
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Hersh AM, Pennington Z, Lubelski D, Elsamadicy AA, Dea N, Desai A, Gokaslan ZL, Goodwin CR, Hsu W, Jallo GI, Krishnaney A, Laufer I, Lo SFL, Macki M, Mehta AI, Ozturk A, Shin JH, Soliman H, Sciubba DM. Treatment of intramedullary spinal cord tumors: a modified Delphi technique of the North American Spine Society Section of Spine Oncology. J Neurosurg Spine 2024; 40:1-10. [PMID: 37856379 DOI: 10.3171/2023.8.spine23190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 08/08/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVE Intramedullary spinal cord tumors (IMSCTs) are rare tumors with heterogeneous presentations and natural histories that complicate their management. Standardized guidelines are lacking on when to surgically intervene and the appropriate aggressiveness of resection, especially given the risk of new neurological deficits following resection of infiltrative tumors. Here, the authors present the results of a modified Delphi method using input from surgeons experienced with IMSCT removal to construct a framework for the operative management of IMSCTs based on the clinical, radiographic, and tumor-specific characteristics. METHODS A modified Delphi technique was conducted using a group of 14 neurosurgeons experienced in IMSCT resection. Three rounds of written correspondence, surveys, and videoconferencing were carried out. Participants were queried about clinical and radiographic criteria used to determine operative candidacy and guide decision-making. Members then completed a final survey indicating their choice of observation or surgery, choice of resection strategy, and decision to perform duraplasty, in response to a set of patient- and tumor-specific characteristics. Consensus was defined as ≥ 80% agreement, while responses with 70%-79% agreement were defined as agreement. RESULTS Thirty-six total characteristics were assessed. There was consensus favoring surgical intervention for patients with new-onset myelopathy (86% agreement), chronic myelopathy (86%), or progression from mild to disabling numbness (86%), but disagreement for patients with mild numbness or chronic paraplegia. Age was not a determinant of operative candidacy except among frail patients, who were deemed more suitable for observation (93%). Well-circumscribed (93%) or posteriorly located tumors reaching the surface (86%) were consensus surgical lesions, and participants agreed that the presence of syringomyelia (71%) and peritumoral T2 signal change (79%) were favorable indications for surgery. There was consensus that complete loss of transcranial motor evoked potentials with a 50% decrease in the D-wave amplitude should halt further resection (93%). Preoperative symptoms seldom influenced choice of resection strategy, while a distinct cleavage plane (100%) or visible tumor-cord margins (100%) strongly favored gross-total resection. CONCLUSIONS The authors present a modified Delphi technique highlighting areas of consensus and agreement regarding surgical management of IMSCTs. Although not intended as a substitute for individual clinical decision-making, the results can help guide care of these patients. Additionally, areas of controversy meriting further investigation are highlighted.
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Affiliation(s)
- Andrew M Hersh
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Zach Pennington
- 2Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Daniel Lubelski
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Nicolas Dea
- 4Department of Neurosurgery, Vancouver Spine Surgery Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Atman Desai
- 5Department of Neurosurgery, Stanford Medicine, Palo Alto, California
| | - Ziya L Gokaslan
- 6Department of Neurosurgery, Brown University, Providence, Rhode Island
| | - C Rory Goodwin
- 7Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Wesley Hsu
- 8Department of Neurological Surgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - George I Jallo
- 9Department of Neurosurgery, Johns Hopkins Medicine, Institute for Brain Protection Sciences, Johns Hopkins All Children's Hospital, St. Petersburg, Florida
| | - Ajit Krishnaney
- 10Department of Neurosurgery, Cleveland Clinic, Cleveland, Ohio
| | - Ilya Laufer
- 11Department of Neurosurgery, New York University Grossman School of Medicine, New York, New York
| | - Sheng-Fu Larry Lo
- 12Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York
| | - Mohamed Macki
- 13Department of Neurosurgery, University of California San Francisco School of Medicine, San Francisco, California
| | - Ankit I Mehta
- 14Department of Neurosurgery, University of Illinois at Chicago, Illinois
| | - Ali Ozturk
- 15Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
| | - John H Shin
- 16Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Hesham Soliman
- 12Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York
| | - Daniel M Sciubba
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- 12Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York
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12
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Elsamadicy AA, Sayeed S, Sherman JJZ, Hengartner AC, Pennington Z, Hersh AM, Lo SFL, Shin JH, Mendel E, Sciubba DM. Racial disparities in the management and outcomes of primary osseous neoplasms of the spine: a SEER analysis. J Neurooncol 2024; 166:293-301. [PMID: 38225469 DOI: 10.1007/s11060-023-04557-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024]
Abstract
PURPOSE Primary osseous neoplasms of the spine, including Ewing's sarcoma, osteosarcoma, chondrosarcoma, and chordoma, are rare tumors with significant morbidity and mortality. The present study aims to identify the prevalence and impact of racial disparities on management and outcomes of patients with these malignancies. METHODS The 2000 to 2020 Surveillance, Epidemiology, and End Results (SEER) Registry, a cancer registry, was retrospectively reviewed to identify patients with Ewing's sarcoma, osteosarcoma, chondrosarcoma, or chordoma of the vertebral column or sacrum/pelvis. Study patients were divided into race-based cohorts: White, Black, Hispanic, and Other. Demographics, tumor characteristics, treatment variables, and mortality were assessed. RESULTS 2,415 patients were identified, of which 69.8% were White, 5.8% Black, 16.1% Hispanic, and 8.4% classified as "Other". Tumor type varied significantly between cohorts, with osteosarcoma affecting a greater proportion of Black patients compared to the others (p < 0.001). A lower proportion of Black and Other race patients received surgery compared to White and Hispanic patients (p < 0.001). Utilization of chemotherapy was highest in the Hispanic cohort (p < 0.001), though use of radiotherapy was similar across cohorts (p = 0.123). Five-year survival (p < 0.001) and median survival were greatest in White patients (p < 0.001). Compared to non-Hispanic Whites, Hispanic (p < 0.001) and "Other" patients (p < 0.001) were associated with reduced survival. CONCLUSION Race may be associated with tumor characteristics at diagnosis (including subtype, size, and site), treatment utilization, and mortality, with non-White patients having lower survival compared to White patients. Further studies are necessary to identify underlying causes of these disparities and solutions for eliminating them.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | | | - Andrew M Hersh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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13
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Wang MC, Kiapour A, Massaad E, Shin JH, Yoganandan N. A guide to finite element analysis models of the spine for clinicians. J Neurosurg Spine 2024; 40:38-44. [PMID: 37856396 DOI: 10.3171/2023.7.spine23164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 07/31/2023] [Indexed: 10/21/2023]
Abstract
Finite element analysis (FEA) is a computer-based mathematical method commonly used in spine and orthopedic biomechanical research. Advances in computational power and engineering modeling and analysis software have enabled many recent technical applications of FEA. Through the use of FEA, a wide range of scenarios can be simulated, such as physiological processes, mechanisms of disease and injury, and the efficacy of surgical procedures. Such models have the potential to enhance clinical studies by allowing comparisons of surgical treatments that would be impractical to perform in human or animal studies, and by linking model results to treatment outcomes. While traditional ex vivo experiments are limited by variabilities in tissue, the complexity of test setup, cost, measurable biomechanical parameters, and the repeatability of experiments, FEA models can be used to measure a wide range of clinically relevant biomechanical parameters. Generic or patient-specific anatomical models can be modified to simulate different clinical and surgical conditions under simulated physiological conditions. Despite these capabilities, there is limited understanding of the clinical applicability and translational potential of FEA models. For spine surgeons, a comprehensive understanding of the key features, strengths, and limitations of FEA models of the spine and their ability to personalize treatment options and assist in clinical decision-making would significantly enhance the impact of FEA research. Furthermore, fostering collaborations between surgeons and engineers could augment the clinical use of these models. The purpose of this review was to highlight key features of FEA model building for clinicians. To illustrate these features, the authors present an example of the use of FEA models in comparing FDA-approved disc arthroplasty implants.
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Affiliation(s)
- Marjorie C Wang
- 1Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and
| | - Ali Kiapour
- 2Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Elie Massaad
- 2Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - John H Shin
- 2Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Narayan Yoganandan
- 1Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin; and
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14
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Elsamadicy AA, Sayeed S, Sherman JJZ, Craft S, Reeves BC, Lo SFL, Shin JH, Sciubba DM. Impact of Preoperative Frailty on Outcomes in Patients with Cervical Spondylotic Myelopathy Undergoing Anterior vs. Posterior Cervical Surgery. J Clin Med 2023; 13:114. [PMID: 38202121 PMCID: PMC10779741 DOI: 10.3390/jcm13010114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/15/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
Introduction: Frailty has been shown to negatively influence patient outcomes across many disease processes, including in the cervical spondylotic myelopathy (CSM) population. The aim of this study was to assess the impact that frailty has on patients with CSM who undergo anterior cervical discectomy and fusion (ACDF) or posterior cervical decompression and fusion (PCDF). Materials and Methods: A retrospective cohort study was performed using the 2016-2019 national inpatient sample. Adult patients (≥18 years old) undergoing ACDF only or PCDF only for CSM were identified using ICD codes. The patients were categorized based on receipt of ACDF or PCDF and pre-operative frailty status using the 11-item modified frailty index (mFI-11): pre-Frail (mFI = 1), frail (mFI = 2), or severely frail (mFI ≥ 3). Patient demographics, comorbidities, operative characteristics, perioperative adverse events (AEs), and healthcare resource utilization were assessed. Multivariate logistic regression analyses were used to identify independent predictors of extended length of stay (LOS) and non-routine discharge (NRD). Results: A total of 37,990 patients were identified, of which 16,665 (43.9%) were in the pre-frail cohort, 12,985 (34.2%) were in the frail cohort, and 8340 (22.0%) were in the severely frail cohort. The prevalence of many comorbidities varied significantly between frailty cohorts. Across all three frailty cohorts, the incidence of AEs was greater in patients who underwent PCDF, with dysphagia being significantly more common in patients who underwent ACDF. Additionally, the rate of adverse events significantly increased between ACDF and PCDF with respect to increasing frailty (p < 0.001). Regarding healthcare resource utilization, LOS and rate of NRD were significantly greater in patients who underwent PCDF in all three frailty cohorts, with these metrics increasing with frailty in both ACDF and PCDF cohorts (LOS: p < 0.001); NRD: p < 0.001). On a multivariate analysis of patients who underwent ACDF, frailty and severe frailty were found to be independent predictors of extended LOS [(frail) OR: 1.39, p < 0.001; (severely frail) OR: 2.25, p < 0.001] and NRD [(frail) OR: 1.49, p < 0.001; (severely frail) OR: 2.22, p < 0.001]. Similarly, in patients who underwent PCDF, frailty and severe frailty were found to be independent predictors of extended LOS [(frail) OR: 1.58, p < 0.001; (severely frail) OR: 2.45, p < 0.001] and NRD [(frail) OR: 1.55, p < 0.001; (severely frail) OR: 1.63, p < 0.001]. Conclusions: Our study suggests that preoperative frailty may impact outcomes after surgical treatment for CSM, with more frail patients having greater health care utilization and a higher rate of adverse events. The patients undergoing PCDF ensued increased health care utilization, compared to ACDF, whereas severely frail patients undergoing PCDF tended to have the longest length of stay and highest rate of non-routine discharge. Additional prospective studies are necessary to directly compare ACDF and PCDF in frail patients with CSM.
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Affiliation(s)
- Aladine A. Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Josiah J. Z. Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Benjamin C. Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center, North Shore University Hospital, Northwell Health, Manhasset, NY 11030, USA
| | - John H. Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Daniel M. Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center, North Shore University Hospital, Northwell Health, Manhasset, NY 11030, USA
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15
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De la Garza Ramos R, Ryvlin J, Hamad MK, Fourman MS, Eleswarapu A, Gelfand Y, Murthy SG, Shin JH, Yassari R. The prognostic nutritional index (PNI) is independently associated with 90-day and 12-month mortality after metastatic spinal tumor surgery. Eur Spine J 2023; 32:4328-4334. [PMID: 37700182 DOI: 10.1007/s00586-023-07930-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/25/2023] [Accepted: 08/28/2023] [Indexed: 09/14/2023]
Abstract
INTRODUCTION Estimated postoperative survival is an important consideration during the decision-making process for patients with spinal metastases. Nutritional status has been associated with poor outcomes and limited survival in the general cancer population. The objective of this study was to evaluate the predictive utility of the prognostic nutritional index (PNI) for postoperative mortality after spinal metastasis surgery. METHODS A total of 139 patients who underwent oncologic surgery for spinal metastases between April 2012 and August 2022 and had a minimum 90-day follow-up were included. PNI was calculated using preoperative serum albumin and total lymphocyte count, with PNI < 40 defined as low. The mean PNI of our cohort was 43 (standard deviation: 7.7). The primary endpoint was 90-day mortality, and the secondary endpoint was 12-month mortality. Multivariate logistic regression analyses were performed. RESULTS The 90-day mortality was 27% (37/139), and the 12-month mortality was 56% (51/91). After controlling for age, ECOG performance status, total psoas muscle cross-sectional area (TPA), and primary cancer site, the PNI was associated with 90-day mortality [odds ratio 0.86 (95% confidence interval 0.79-0.94); p = 0.001]. After controlling for ECOG performance status and primary cancer site, the PNI was associated with 12-month mortality [OR 0.89 (95% CI 0.82-0.97); p = 0.008]. Patients with a low PNI had a 50% mortality rate at 90 days and an 84% mortality rate at 12 months. CONCLUSION The PNI was independently associated with 90-day and 12-month mortality after metastatic spinal tumor surgery, independent of performance status, TPA, and primary cancer site.
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Affiliation(s)
- Rafael De la Garza Ramos
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA.
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Jessica Ryvlin
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
| | - Mousa K Hamad
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mitchell S Fourman
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
- Department of Orthopedic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ananth Eleswarapu
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
- Department of Orthopedic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yaroslav Gelfand
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Saikiran G Murthy
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Reza Yassari
- Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd Floor, Bronx, NY, 10467, USA
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
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Ali R, Tang OY, Connolly ID, Zadnik Sullivan PL, Shin JH, Fridley JS, Asaad WF, Cielo D, Oyelese AA, Doberstein CE, Gokaslan ZL, Telfeian AE. Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations. Neurosurgery 2023; 93:1353-1365. [PMID: 37581444 DOI: 10.1227/neu.0000000000002632] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 05/19/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Interest surrounding generative large language models (LLMs) has rapidly grown. Although ChatGPT (GPT-3.5), a general LLM, has shown near-passing performance on medical student board examinations, the performance of ChatGPT or its successor GPT-4 on specialized examinations and the factors affecting accuracy remain unclear. This study aims to assess the performance of ChatGPT and GPT-4 on a 500-question mock neurosurgical written board examination. METHODS The Self-Assessment Neurosurgery Examinations (SANS) American Board of Neurological Surgery Self-Assessment Examination 1 was used to evaluate ChatGPT and GPT-4. Questions were in single best answer, multiple-choice format. χ 2 , Fisher exact, and univariable logistic regression tests were used to assess performance differences in relation to question characteristics. RESULTS ChatGPT (GPT-3.5) and GPT-4 achieved scores of 73.4% (95% CI: 69.3%-77.2%) and 83.4% (95% CI: 79.8%-86.5%), respectively, relative to the user average of 72.8% (95% CI: 68.6%-76.6%). Both LLMs exceeded last year's passing threshold of 69%. Although scores between ChatGPT and question bank users were equivalent ( P = .963), GPT-4 outperformed both (both P < .001). GPT-4 answered every question answered correctly by ChatGPT and 37.6% (50/133) of remaining incorrect questions correctly. Among 12 question categories, GPT-4 significantly outperformed users in each but performed comparably with ChatGPT in 3 (functional, other general, and spine) and outperformed both users and ChatGPT for tumor questions. Increased word count (odds ratio = 0.89 of answering a question correctly per +10 words) and higher-order problem-solving (odds ratio = 0.40, P = .009) were associated with lower accuracy for ChatGPT, but not for GPT-4 (both P > .005). Multimodal input was not available at the time of this study; hence, on questions with image content, ChatGPT and GPT-4 answered 49.5% and 56.8% of questions correctly based on contextual context clues alone. CONCLUSION LLMs achieved passing scores on a mock 500-question neurosurgical written board examination, with GPT-4 significantly outperforming ChatGPT.
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Affiliation(s)
- Rohaid Ali
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Oliver Y Tang
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Ian D Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Boston , Massachusetts , USA
| | - Patricia L Zadnik Sullivan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - John H Shin
- Department of Neuroscience, Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Jared S Fridley
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Wael F Asaad
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Department of Neuroscience, Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
- Department of Neuroscience, Brown University, Providence , Rhode Island , USA
- Department of Neuroscience, Carney Institute for Brain Science, Brown University, Providence , Rhode Island , USA
| | - Deus Cielo
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Adetokunbo A Oyelese
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Curtis E Doberstein
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Albert E Telfeian
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
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Khalid SI, Mirpuri P, Thomson K, Elsamadicy A, Massaad E, Deysher D, Khilwani H, Adogwa O, Shin JH, Mehta AI. Outcomes Following 2-Level Cervical Interventions with Cage-and-Plate, Zero-Profile, or Arthroplasty Constructs. World Neurosurg 2023; 180:e607-e617. [PMID: 37797683 DOI: 10.1016/j.wneu.2023.09.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND Though cage-and-plate constructs are widely used for disk height restoration in surgery for cervical disc disease, concerns over range of motion limitations and adjacent disc space violations have fueled the development of artificial disc and zero-profile constructs. This study investigated the outcomes of patients undergoing two-level cervical interventions via arthroplasty, cage-and-plate, or zero-profile constructs. METHODS Patients undergoing two-level anterior cervical procedures between 2010 and 2020 were identified using an all-payer claims database. Logistic regression models were utilized to develop criteria for a 1:1:1-exact match procedure. The primary outcome was the need for additional surgery within 30 months, and the secondary outcomes included medical and surgical complications observed within 30 days of index intervention. P values < 0.05 were considered statistically significant. RESULTS 133,831 patients were identified as undergoing two-level anterior cervical interventions. Seven thousand three hundred seventy-one records were analyzed through a 1:1:1 match. Patients who received zero-profile versus cage-and-plate constructs had significantly decreased odds of requiring additional surgery within 30 months (Odds Ratio [OR] 0.64; 95% Confidence Interval [CI] 0.51-0.81). However, postoperative medical complications were increased among patients who received zero-profile constructs compared to cage-and-plate (OR 1.59; 95%CI 1.07-2.37). Patients who underwent arthroplasty also had decreased odds for additional surgery versus cage-and-plate (OR 0.75; 95%CI 0.60-0.93). There was no significant difference between arthroplasty and cage-and-plate constructs in developing postoperative surgical or medical complications. CONCLUSIONS Among patients undergoing two-level interventions, cage-and-plate constructs were associated with increased odds of additional surgery within 30 months following index procedures when compared to zero-profile constructs or arthroplasty.
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Affiliation(s)
- Syed I Khalid
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA.
| | - Pranav Mirpuri
- Chicago Medical School, Rosalind Franklin School of Medicine and Science, North Chicago, Illinois, USA
| | - Kyle Thomson
- Chicago Medical School, Rosalind Franklin School of Medicine and Science, North Chicago, Illinois, USA
| | - Aladine Elsamadicy
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - Elie Massaad
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Daniel Deysher
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Harsh Khilwani
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Owoicho Adogwa
- Department of Neurosurgery, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ankit I Mehta
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA
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Lucas AT, Lin AE, Cohen A, Muñoz W, Kahle KT, Shin JH, Buch K, Sahai I, Carroll RW. Atlantoaxial instability associated with ALDH18A1 mutation. Am J Med Genet A 2023; 191:2898-2902. [PMID: 37655511 DOI: 10.1002/ajmg.a.63388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/16/2023] [Accepted: 08/19/2023] [Indexed: 09/02/2023]
Abstract
We report a 10-year-old boy with a de novo pathogenic variant in ALDH18A1, a rare form of metabolic cutis laxa, which was complicated by atlantoaxial instability and spinal cord compression following a fall from standing height. The patient required emergent cervical spine fusion and decompression followed by a 2-month hospitalization and rehabilitation. In addition to the core clinical features of joint and skin laxity, hypotonia, and developmental delays, we expand the connective tissue phenotype by adding a new potential feature of cervical spine instability. Patients with pathogenic variants in ALDH18A1 may warrant cervical spine screening to minimize possible morbidity. Neurosurgeons, geneticists, primary care providers, and families should be aware of the increased risk of severe cervical injury from minor trauma.
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Affiliation(s)
- Alexandra T Lucas
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Mass General for Children, Boston, Massachusetts, USA
| | - Angela E Lin
- Medical Genetics, Department of Pediatrics, Mass General for Children, Boston, Massachusetts, USA
| | - Andrew Cohen
- Department of Pediatrics, MassGeneral for Children, Harvard Medical School, Boston, Massachusetts, USA
| | - William Muñoz
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Kristopher T Kahle
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Karen Buch
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Inderneel Sahai
- Medical Genetics, Department of Pediatrics, Mass General for Children, Boston, Massachusetts, USA
| | - Ryan W Carroll
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Mass General for Children, Boston, Massachusetts, USA
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19
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Ali R, Tang OY, Connolly ID, Fridley JS, Shin JH, Zadnik Sullivan PL, Cielo D, Oyelese AA, Doberstein CE, Telfeian AE, Gokaslan ZL, Asaad WF. Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank. Neurosurgery 2023; 93:1090-1098. [PMID: 37306460 DOI: 10.1227/neu.0000000000002551] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/09/2023] [Indexed: 06/13/2023] Open
Abstract
BACKGROUND AND OBJECTIVES General large language models (LLMs), such as ChatGPT (GPT-3.5), have demonstrated the capability to pass multiple-choice medical board examinations. However, comparative accuracy of different LLMs and LLM performance on assessments of predominantly higher-order management questions is poorly understood. We aimed to assess the performance of 3 LLMs (GPT-3.5, GPT-4, and Google Bard) on a question bank designed specifically for neurosurgery oral boards examination preparation. METHODS The 149-question Self-Assessment Neurosurgery Examination Indications Examination was used to query LLM accuracy. Questions were inputted in a single best answer, multiple-choice format. χ 2 , Fisher exact, and univariable logistic regression tests assessed differences in performance by question characteristics. RESULTS On a question bank with predominantly higher-order questions (85.2%), ChatGPT (GPT-3.5) and GPT-4 answered 62.4% (95% CI: 54.1%-70.1%) and 82.6% (95% CI: 75.2%-88.1%) of questions correctly, respectively. By contrast, Bard scored 44.2% (66/149, 95% CI: 36.2%-52.6%). GPT-3.5 and GPT-4 demonstrated significantly higher scores than Bard (both P < .01), and GPT-4 outperformed GPT-3.5 ( P = .023). Among 6 subspecialties, GPT-4 had significantly higher accuracy in the Spine category relative to GPT-3.5 and in 4 categories relative to Bard (all P < .01). Incorporation of higher-order problem solving was associated with lower question accuracy for GPT-3.5 (odds ratio [OR] = 0.80, P = .042) and Bard (OR = 0.76, P = .014), but not GPT-4 (OR = 0.86, P = .085). GPT-4's performance on imaging-related questions surpassed GPT-3.5's (68.6% vs 47.1%, P = .044) and was comparable with Bard's (68.6% vs 66.7%, P = 1.000). However, GPT-4 demonstrated significantly lower rates of "hallucination" on imaging-related questions than both GPT-3.5 (2.3% vs 57.1%, P < .001) and Bard (2.3% vs 27.3%, P = .002). Lack of question text description for questions predicted significantly higher odds of hallucination for GPT-3.5 (OR = 1.45, P = .012) and Bard (OR = 2.09, P < .001). CONCLUSION On a question bank of predominantly higher-order management case scenarios for neurosurgery oral boards preparation, GPT-4 achieved a score of 82.6%, outperforming ChatGPT and Google Bard.
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Affiliation(s)
- Rohaid Ali
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Oliver Y Tang
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Ian D Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Boston , Massachusetts , USA
| | - Jared S Fridley
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston , Massachusetts , USA
| | - Patricia L Zadnik Sullivan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Deus Cielo
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Adetokunbo A Oyelese
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Curtis E Doberstein
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Albert E Telfeian
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Wael F Asaad
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
- Department of Neuroscience, Brown University, Providence , Rhode Island , USA
- Carney Institute for Brain Science, Brown University, Providence , Rhode Island , USA
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De la Garza Ramos R, Ryvlin J, Hamad MK, Fourman MS, Gelfand Y, Murthy SG, Shin JH, Yassari R. Predictive value of six nutrition biomarkers in oncological spine surgery: a performance assessment for prediction of mortality and wound infection. J Neurosurg Spine 2023; 39:664-670. [PMID: 37542445 DOI: 10.3171/2023.5.spine23347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 05/24/2023] [Indexed: 08/07/2023]
Abstract
OBJECTIVE Assessment of nutritional status is fundamental in cancer patients. The objective of this study was to assess the predictive ability of 6 nutritional biomarkers for postoperative mortality and wound infection after metastatic spinal tumor surgery. METHODS A total of 139 patients who underwent oncological surgery for metastatic spine disease between April 2012 and August 2022 and had a minimum follow-up of 90 days were included. Six unique nutritional biomarkers were assessed: Prognostic Nutritional Index (PNI), Nutritional Risk Index (NRI), Controlling Nutritional Status Score (CONUT), total psoas cross-sectional area (TPA), body mass index (BMI), and body weight. Study endpoints were 90-day mortality rate, 12-month mortality rate, and wound infection. The discriminative ability of each of these markers was assessed with the c-statistic. A multivariate analysis was done for each of the biomarkers after a univariate analysis was first performed. RESULTS The 90-day mortality rate was 27% (37 of 139). The biomarkers and respective c-statistics were as follows: PNI (0.74), NRI (0.75), CONUT (0.71), TPA (0.64), BMI (0.59), and body weight (0.60). The 12-month mortality rate was 56% (51 of 91). The biomarkers and respective c-statistics were as follows: PNI (0.72), NRI (0.73), CONUT (0.70), TPA (0.63), BMI (0.59), and body weight (0.60). The wound infection rate was 8% (11 of 139). The biomarkers and respective c-statistics were as follows: PNI (0.57), NRI (0.53), CONUT (0.55), TPA (0.57), BMI (0.48), and body weight (0.52). The PNI, NRI, and CONUT all predicted 90-day and 12-month mortality after multivariate regression analysis. No association between nutrition and wound infection was found. CONCLUSIONS In this study, nutritional status was associated with postoperative mortality following oncological spine surgery. Three biomarkers predicted outcome independent of variables such as performance status or primary cancer. Future validation of these metrics is needed.
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Affiliation(s)
- Rafael De la Garza Ramos
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Departments of2Neurological Surgery and
| | - Jessica Ryvlin
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Mousa K Hamad
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Departments of2Neurological Surgery and
| | - Mitchell S Fourman
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- 3Orthopedic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; and
| | - Yaroslav Gelfand
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Departments of2Neurological Surgery and
| | - Saikiran G Murthy
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Departments of2Neurological Surgery and
| | - John H Shin
- 4Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Reza Yassari
- 1Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Departments of2Neurological Surgery and
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Rigney GH, Massaad E, Kiapour A, Razak SS, Duvall JB, Burrows A, Khalid SI, De La Garza Ramos R, Tobert DG, Williamson T, Shankar GM, Schoenfeld AJ, Shin JH. Implication of nutritional status for adverse outcomes after surgery for metastatic spine tumors. J Neurosurg Spine 2023; 39:557-567. [PMID: 37439458 DOI: 10.3171/2023.5.spine2367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/17/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVE Surgery for metastatic spinal tumors can have a substantial impact on patients' quality of life by alleviating pain, improving function, and correcting spinal instability when indicated. The decision to operate is difficult because many patients with cancer are frail. Studies have highlighted the importance of preoperative nutritional status assessments; however, little is known about which aspects of nutrition accurately inform clinical outcomes. This study investigates the interaction and prognostic importance of various nutritional and frailty measures in patients with spinal metastases. METHODS A retrospective analysis of consecutive patients who underwent surgery for spinal metastases between 2014 and 2020 at the Massachusetts General Hospital was performed. Patients were stratified according to the New England Spinal Metastasis Score (NESMS). Frailty was assessed using the metastatic spinal tumor frailty index. Nutrition was assessed using the prognostic nutritional index (PNI), preoperative body mass index, albumin, albumin-to-globulin ratio, and platelet-to-lymphocyte ratio. Outcomes included postoperative survival and complication rates, with focus on wound-related complications. RESULTS This study included 154 individuals (39% female; mean [SD] age 63.23 [13.14] years). NESMS 0 and NESMS 3 demonstrated the highest proportions of severely frail patients (56.2%) and nonfrail patients (16.1%), respectively. Patients with normal nutritional status (albumin-to-globulin ratio and PNI) had a better prognosis than those with poor nutritional status when stratified by NESMS. Multivariable regression adjusted for NESMS and frailty showed that a PNI > 40.4 was significantly associated with decreased odds of 90-day complications (OR 0.93, 95% CI 0.85-0.98). After accounting for age, sex, primary tumor pathology, physical function, nutritional status, and frailty, a preoperative nutrition consultation was associated with a decrease in postoperative wound-related complications (average marginal effect -5.00%; 95% CI -1.50% to -8.9%). CONCLUSIONS The PNI was most predictive of complications and may be a key biomarker for risk stratification in the 90 days following surgery. Nutrition consultation was associated with a reduced risk of wound-related complications, attesting to the importance of this preoperative intervention. These findings suggest that nutrition plays an important role in the postsurgical course and should be considered when developing a treatment plan for spinal metastases.
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Affiliation(s)
| | | | | | | | | | | | | | - Rafael De La Garza Ramos
- 2Department of Neurosurgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; and
| | - Daniel G Tobert
- 3Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | - Andrew J Schoenfeld
- 4Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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Ioakeim-Ioannidou M, Niemierko A, Kim DW, Tejada A, Urell T, Leahy S, Adams J, Fullerton B, Nielsen GP, Hung YP, Shih AR, Patino M, Buch K, Rincon S, Kelly H, Cunnane MB, Tolia M, Widemann BC, Wedekind MF, John L, Ebb D, Shin JH, Cote G, Curry W, MacDonald SM. Surgery and proton radiation therapy for pediatric base of skull chordomas: Long-term clinical outcomes for 204 patients. Neuro Oncol 2023; 25:1686-1697. [PMID: 37029730 PMCID: PMC10484173 DOI: 10.1093/neuonc/noad068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Data on clinical outcomes for base of skull (BOS) chordomas in the pediatric population is limited. We report patient outcomes after surgery and proton radiotherapy (PRT). METHODS Pediatric patients with BOS chordomas were treated with PRT or combined proton/photon approach (proton-based; for most, 80% proton/20% photon) at the Massachusetts General Hospital from 1981 to 2021. Endpoints of interest were overall survival (OS), disease-specific survival, progression-free survival (PFS), freedom from local recurrence (LC), and freedom from distant failure (DC). RESULTS Of 204 patients, median age at diagnosis was 11.1 years (range, 1-21). Chordoma location included 59% upper and/or middle clivus, 36% lower clivus, 4% craniocervical junction, and 1% nasal cavity. Fifteen (7%) received pre-RT chemotherapy. Forty-seven (23%) received PRT, and 157 (77%) received comboRT. Median total dose was 76.7 Gy (RBE) (range, 59.3-83.3). At a median follow-up of 10 years (interquartile range, 5-16 years), 56 recurred. Median OS and PFS were 26 and 25 years, with 5-, 10-, and 20-year OS and PFS rates of 84% and 74%, 78% and 69%, and 64% and 64%, respectively. Multivariable actuarial analyses showed poorly differentiated subtype, radiographical progression prior to RT, larger treatment volume, and lower clivus location to be prognostic factors for worse OS, PFS, and LC. RT was well tolerated at a median follow-up of 9 years (interquartile range, 4-16 years). Side effects included 166 patients (80%) with mild/moderate acute toxicities, 24 (12%) patients with late toxicities, and 4 (2%) who developed secondary radiation-related malignancies. CONCLUSION This is the largest cohort of BOS chordomas in the literature, pediatric and/or adult. High-dose PRT following surgical resection is effective with low rates of late toxicity.
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Affiliation(s)
| | - Andrzej Niemierko
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Daniel W Kim
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Athena Tejada
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Tobias Urell
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Shannon Leahy
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Judy Adams
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Barbara Fullerton
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - G Petur Nielsen
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Yin P Hung
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Angela R Shih
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Manuel Patino
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Karen Buch
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sandra Rincon
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hilary Kelly
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Mary Beth Cunnane
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Maria Tolia
- Department of Radiotherapy, School of Medicine, University of Crete, Heraklion, Greece
| | - Brigitte C Widemann
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Mary F Wedekind
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Liny John
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - David Ebb
- Department of Pediatric Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Gregory Cote
- Department of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - William Curry
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Shannon M MacDonald
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
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Elsamadicy AA, Koo AB, Reeves BC, Pennington Z, Sarkozy M, Hersh A, Havlik J, Sherman JJZ, Goodwin CR, Kolb L, Laurans M, Larry Lo SF, Shin JH, Sciubba DM. Hospital Frailty Risk Score and Healthcare Resource Utilization After Surgery for Primary Spinal Intradural/Cord Tumors. Global Spine J 2023; 13:2074-2084. [PMID: 35016582 PMCID: PMC10556884 DOI: 10.1177/21925682211069937] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE The Hospital Frailty Risk Score (HFRS) is a metric that measures frailty among patients in large national datasets using ICD-10 codes. While other metrics have been utilized to demonstrate the association between frailty and poor outcomes in spine oncology, none have examined the HFRS. The aim of this study was to investigate the impact of frailty using the HFRS on complications, length of stay, cost of admission, and discharge disposition in patients undergoing surgery for primary tumors of the spinal cord and meninges. METHODS A retrospective cohort study was performed using the Nationwide Inpatient Sample database from 2016 to 2018. Adult patients undergoing surgery for primary tumors of the spinal cord and meninges were identified using ICD-10-CM codes. Patients were categorized into 2 cohorts based on HFRS score: Non-Frail (HFRS<5) and Frail (HFRS≥5). Patient characteristics, treatment, perioperative complications, LOS, discharge disposition, and cost of admission were assessed. RESULTS Of the 5955 patients identified, 1260 (21.2%) were Frail. On average, the Frail cohort was nearly 8 years older (P < .001) and experienced more postoperative complications (P = .001). The Frail cohort experienced longer LOS (P < .001), a higher rate of non-routine discharge (P = .001), and a greater mean cost of admission (P < .001). Frailty was found to be an independent predictor of extended LOS (P < .001) and non-routine discharge (P < .001). CONCLUSION Our study is the first to use the HFRS to assess the impact of frailty on patients with primary spinal tumors. We found that frailty was associated with prolonged LOS, non-routine discharge, and increased hospital costs.
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Affiliation(s)
| | - Andrew B. Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Benjamin C. Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | | | - Margot Sarkozy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
| | - John Havlik
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Josiah J. Z. Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - C. Rory Goodwin
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
| | - Luis Kolb
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Maxwell Laurans
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - John H. Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel M. Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Tang OY, Ali R, Connolly ID, Fridley JS, Zadnik Sullivan PL, Cielo D, Oyelese AA, Doberstein CE, Telfeian AE, Gokaslan ZL, Shin JH, Asaad WF. Letter: The Urgency of Neurosurgical Leadership in the Era of Artificial Intelligence. Neurosurgery 2023; 93:e69-e70. [PMID: 37319400 DOI: 10.1227/neu.0000000000002576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 05/03/2023] [Indexed: 06/17/2023] Open
Affiliation(s)
- Oliver Y Tang
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
| | - Rohaid Ali
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Ian D Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Boston , Massachusetts , USA
| | - Jared S Fridley
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Patricia L Zadnik Sullivan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Deus Cielo
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Adetokunbo A Oyelese
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Curtis E Doberstein
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Albert E Telfeian
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Boston , Massachusetts , USA
| | - Wael F Asaad
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence , Rhode Island , USA
- Department of Neuroscience, Brown University, Providence , Rhode Island , USA
- Carney Institute for Brain Science, Brown University, Providence , Rhode Island , USA
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25
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Massaad E, Kiapour A, Shin JH. Editorial. Integrating frailty assessment tools into patient-specific alignment target planning in adult spinal deformity: minimizing risk and optimizing outcomes. J Neurosurg Spine 2023; 39:643-645. [PMID: 37728383 DOI: 10.3171/2023.6.spine23571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
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26
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Akinduro OO, Ghaith AK, El-Hajj VG, Ghanem M, Soltan F, Nieves AB, Abode-Iyamah K, Shin JH, Gokaslan ZL, Quinones-Hinojosa A, Bydon M. Effect of race, sex, and socioeconomic factors on overall survival following the resection of intramedullary spinal cord tumors. J Neurooncol 2023; 164:75-85. [PMID: 37479956 DOI: 10.1007/s11060-023-04373-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 06/14/2023] [Indexed: 07/23/2023]
Abstract
INTRODUCTION Intramedullary spinal cord tumors (IMSCTs) account for 2-4% of all primary CNS tumors. Given their low prevalence and the intricacy of their diagnosis and management, it is critical to address the surrounding racial and socioeconomic factors that impact the care of patients with IMSCTs. This study aimed to investigate the association between race and socioeconomic factors with overall 5 year mortality following the resection of IMSCTs. METHODS The study used the National Cancer Database to retrospectively analyze patients who underwent resection of IMSCTs from 2004 to 2017. Patients were divided into four cohorts by race/ethnicity, facility type, insurance, median income quartiles, and living area. The primary outcome of interest was 5 year survival, and secondary outcomes included postoperative length of stay and 30 day readmission. Descriptive and multivariable analyses were used to identify independent factors associated with mortality, with statistical significance assessed at a 2-sided p < 0.05. RESULTS We evaluated the patient characteristics and outcomes for 8,028 patients who underwent surgical treatment for IMSCTs between 2004 and 2017. Most patients were white males (52.4%) with a mean age of 44 years where 7.17% of patients were Black, 7.6% were Hispanic, and 3% were Asian. Most were treated in an academic/research program (72.4%) and had private insurance (69.2%). Black patients had a higher odd of 5 year mortality (OR 1.4; 95% CI 1.1 to 1.77; p = 0.04) compared to white patients, while no significant differences in mortality were observed among other races. Factors associated with lower odds of mortality included being female (OR 0.89; 95% CI 0.78 to 1.02; p < 0.01), receiving treatment in an academic/research program (OR 0.51; 95% CI 0.33 to 0.79; p = 0.04), having private insurance (OR 0.65; 95% CI 0.45 to 0.93; p = 0.02), and having higher income quartiles (OR 0.77; 95% CI 0.62 to 0.96; p = 0.02). CONCLUSION Our study sheds light on the healthcare disparities that exist in the surgical management of IMSCTs. Our findings indicate that race, sex, socioeconomic status, and treatment facility are independent predictors of 5 year mortality, with Black patients, males, those with lower socioeconomic status, and those treated at non-academic centers experiencing significantly higher mortality rates. These alarming disparities underscore the urgent need for policymakers and researchers to address the underlying factors contributing to these discrepancies and provide equal access to high-quality surgical care for patients with IMSCTs.
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Affiliation(s)
| | - Abdul Karim Ghaith
- Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, MN, USA
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | | | - Marc Ghanem
- Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, MN, USA
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Fatima Soltan
- School of Public Health, Imperial College London, London, UK
| | - Antonio Bon Nieves
- Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, MN, USA
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | | | - John H Shin
- Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, RI, USA
| | | | - Mohamad Bydon
- Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, MN, USA.
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
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27
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Ryvlin J, Shin JH, Yassari R, De la Garza Ramos R. Editorial: Artificial intelligence and advanced technologies in neurological surgery. Front Surg 2023; 10:1251086. [PMID: 37533743 PMCID: PMC10392845 DOI: 10.3389/fsurg.2023.1251086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 07/11/2023] [Indexed: 08/04/2023] Open
Affiliation(s)
- Jessica Ryvlin
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States
| | - John H. Shin
- Department of Neurological Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Reza Yassari
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Rafael De la Garza Ramos
- Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States
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Birk M, Sidhu K, Filezio MR, Singh V, Ferri-de-Barros F, Chan V, Shumilak G, Nataraj A, Langston H, Yee NJ, Iorio C, Shkumat N, Rocos B, Ertl-Wagner B, Lebel D, Camp MW, Dimentberg E, Saran N, Laflamme M, Ouellet JA, Wenghofer J, Livock H, Beaton L, Tice A, Smit K, Graham R, Duarte MP, Roy-Beaudry M, Turgeon I, Joncas J, Mac-Thiong JM, Labelle H, Barchi S, Parent S, Gholamian T, Livock H, Tice A, Smit K, Yoon S, Zulfiqar A, Rocos B, Murphy A, Bath N, Moll S, Sorbara J, Lebel D, Camp MW, Nallet JA, Rocos B, Lebel DE, Zeller R, Dermott JA, Kim DJ, Anthony A, Zeller R, Lebel DE, Wang Z, Shen J, Kamel Y, Liu J, Shedid D, Al-Shakfa F, Yuh SJ, Boubez G, Rizkallah M, Rizkallah M, Shen J, Boubez G, Kamel Y, Liu J, Shedid D, Al-Shakfa F, Lavoie F, Yug SJ, Wang Z, Alavi F, Nielsen C, Rampersaud R, Lewis S, Cheung AM, Cadieux C, Fernandes R, Brzozowski P, Zdero R, Bailey C, Rasoulinejad P, Cherry A, Manoharan R, Xu M, Srikandarajah N, Iorio C, Raj A, Nielsen C, Rampersaud R, Lewis S, Beange K, Graham R, Livock H, Smit K, Manoharan R, Cherry A, Srikandarajah N, Raj A, Xu M, Iorio C, Nielsen CJ, Rampersaud YR, Lewis SJ, Nasrabadi AAM, Moammer G, Phee JM, Walker T, Urquhart JC, Glennie RA, Rampersaud YR, Fisher CG, Bailey CS, Herrington BJ, Fernandes RR, Urquhart JC, Rasoulinejad P, Siddiqi F, Bailey CS, Urquhart J, Fernandes RR, Glennie RA, Rampersaud YR, Fisher CG, Bailey CS, Yang MMH, Riva-Cambrin J, Cunningham J, Casha S, Cadieux CN, Urquhart J, Fernandes R, Glennie A, Fisher C, Rampersaud R, Xu M, Manoharan R, Cherry A, Raj A, Srikandarajah N, Iorio C, Nielsen C, Lewis S, Rampersaud R, Cherry A, Raj A, McIntosh G, Manoharan R, Murray JC, Nielsen C, Xu M, Srikandarajah N, Iorio C, Perruccio A, Canizares M, Rampersaud R, El-Mughayyar D, Bigney E, Richardson E, Manson N, Abraham E, Attabib N, Small C, Kolyvas G, LeRoux A, Outcomes CS, Investigators RN, Hebert J, Baisamy V, Rizkallah M, Shen J, Cresson T, Vazquez C, Wang Z, Boubez G, Lung T, Canizares M, Perruccio A, Rampersaud R, Crawford EJ, Ravinsky RA, Perruccio AV, Rampersaud YR, Coyte PC, Bond M, Street J, Fisher C, Charest-Morin R, Sutherland JM, Bartolozzi AR, Barzilai O, Chou D, Laufer I, Verlaan JJ, Sahgal A, Rhines LD, Scuibba DM, Lazary A, Weber MH, Schuster JM, Boriani S, Bettegowda C, Arnold PM, Clarke MJ, Fehlings MG, Reynolds JJ, Gokaslan ZL, Fisher CG, Dea N, Versteeg AL, Charest-Morin R, Laufer I, Teixeira W, Barzilai O, Gasbarrini A, Fehlings MG, Chou D, Johnson MG, Gokaslan ZL, Dea N, Verlaan JJ, Goldschlager T, Shin JH, O'Toole JE, Sciubba DM, Bettegowda C, Clarke MJ, Weber MH, Mesfin A, Kawahara N, Goodwin R, Disch A, Lazary A, Boriani S, Sahgal A, Rhines L, Fisher CG, Versteeg AL, Gal R, Reich L, Tsang A, Aludino A, Sahgal A, Verlaan JJ, Fisher CG, Verkooijen L, Rizkallah M, Wang Z, Yuh SJ, Shedid D, Shen J, Al-Shakfa F, Belguendouz C, AlKafi R, Boubez G, MacLean MA, Georgiopoulos M, Charest-Morin R, Germscheid N, Goodwin CR, Weber M, International AS, Rizkallah M, Boubez G, Zhang H, Al-Shakfa F, Brindamour P, Boule D, Shen J, Shedid D, Yuh SJ, Wang Z, Correale MR, Soever LJ, Rampersaud R, Malic CC, Dubreuil M, Duke K, Kingwell SP, Lin Z, MacLean MA, Julien LC, Patriquin G, LeBlanc J, Green R, Alant J, Barry S, Glennie RA, Oxney W, Christie SD, Sarraj M, Alqahtani A, Thornley P, Koziarz F, Bailey CS, Freire-Archer M, Bhanot K, Kachur E, Bhandari M, Oitment C, Malhotra AK, Balas M, Jaja BNR, Harrington EM, Hofereiter J, Jaffe RH, He Y, Byrne JP, Wilson JR, Witiw CD, Brittain KCM, Christie S, Pillai S, Dvorak MF, Evaniew N, Chen M, Waheed Z, Rotem-Kohavi N, Fallah N, Noonan VK, Fisher CG, Charest-Morin R, Dea N, Ailon T, Street J, Kwon BK, Sandarage RV, Galuta A, Ghinda D, Kwan JCS, TsaI EC, Hachem LD, Hong J, Velumian A, Mothe AJ, Tator CH, Fehlings MG, Shakil H, Jaja BNR, Zhang P, Jaffe R, Malhotra AK, Wilson JR, Witiw CD, Rotem-Kohavi N, Dvorak MF, Dea N, Evaniew N, Chen M, Waheed Z, Xu J, Fallah N, Noonan V, Kwon B, Dandurand C, Muijs S, Dvorak M, Schnake K, Cumhur, Ouml Ner, Greene R, Furlong B, Smith-Forrester J, Swab M, Christie SD, Hall A, Leck E, Marshall E, Christie S, Dvorak MF, Cumhur F, Ouml Ner, Vaccaro AR, Benneker LM, Rajasekaran S, El-Sharkawi M, Popescu EC, Tee JW, Paquet J, France JC, Allen R, Lavelle WF, Hirschfeld M, Pneumaticos S, Dandurand C, Cumhur, Ouml Ner, Muijs S, Schnake K, Dvorak M, Fernandes RR, Thornley P, Urquhart J, Kelly S, Alenezi N, Alahmari A, Siddiqi F, Singh S, Rasoulinejad P, Bailey C, Evaniew N, Burger LD, Dea N, Cadotte DW, McIntosh G, Jacobs B, St-Laurent-Lebeux L, Bourassa-Moreau É, Sarraj M, Majeed M, Guha D, Pahuta M, Laflamme M, McIntosh G, Dea N, Bak AB, Alvi MA, Moghaddamjou A, Fehlings MG, Silva YGMD, Goulet J, McIntosh G, Bedard S, Pimenta N, Blanchard J, Couture J, LaRue B, Investigators C, Adams T, Cunningham E, El-Mughayyar D, Bigney E, Vandewint A, Manson N, Abraham E, Small C, Attabib N, Richardson E, Hebert J, Bond M, Street J, Fisher C, Charest-Morin R, Sutherland JM, Hillier T, Bailey CS, Fisher C, Rampersaud R, Koto P, Glennie RA, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Lewkonia P, Bouchard J, Jacobs B, Ben-Israel D, Crawford EJ, Fisher C, Dea N, Spackman E, Rampersaud R, Thomas KC, Srikandarajah N, Murray JC, Nielsen C, Manoharan R, Cherry A, Raj A, Xu M, Iorio C, Bailey C, Dea N, Fisher C, Hall H, Manson N, Thomas K, Canizares M, Rampersaud YR, Urquhart J, Fernandes RR, Glennie RA, Rampersaud YR, Fisher CG, Bailey C, Yang MMH, Far R, Sajobi T, Riva-Cambrin J, Casha S, Bond M, Street J, Fisher C, Charest-Morin R, Sutherland JM, Silva Y, Pimenta NG, LaRue B, Bedard S, Oviedo SC, Goulet J, Couture J, Blanchard J, McDonald J, Al-Jahdali F, Urquhart J, Alahmari A, Rampersaud R, Fisher C, Bailey C, Glennie A, Evaniew N, Coyle M, Rampersaud YR, Bailey CS, Jacobs WB, Cadotte DW, Thomas KC, Attabib N, Paquet J, Nataraj A, Christie SD, Weber MH, Phan P, Charest-Morin R, Fisher CG, Hall H, McIntosh G, Dea N, Malhotra AK, Davis AM, He Y, Harrington EM, Jaja BNR, Zhu MP, Shakil H, Dea N, Jacobs WB, Cadotte DW, Paquet J, Weber MH, Phan P, Christie SD, Nataraj A, Bailey CS, Johnson MG, Fisher CG, Manson N, Rampersaud YR, Thomas KC, Hall H, Fehlings MG, Ahn H, Ginsberg HJ, Witiw CD, Wilson JR, Althagafi A, McIntosh G, Charest-Morin R, Rizzuto MA, Ailon T, Dea N, Evaniew N, Jacobs BW, Paquet J, Rampersaud R, Hall H, Bailey CS, Weber M, Johnson MG, Nataraj A, Attabib N, Cadotte DW, Manson N, Stratton A, Christie SD, Thomas KC, Wilson JR, Fisher CG, Charest-Morin R, Bak AB, Alvi MA, Moghaddamjou A, Fehlings MG, Bak AB, Alvi MA, Moghaddamjou A, Fehlings MG, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Salo P, Bouchard J, Jacobs B, Dandurand C, Laghaei PF, Ailon T, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon BK, Paquette S, Street J, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Bouchard J, Salo P, Jacobs B, Varshney VP, Sahjpaul R, Paquette S, Osborn J, Bak AB, Moghaddamjou A, Fehlings MG, Leck E, Marshall E, Christie S, Elkaim LM, Lasry OJ, Raj A, Murray JC, Cherry A, McIntosh G, Nielsen C, Srikandarajah N, Manoharan R, Iorio C, Xu M, Perruccio A, Canizares M, Rampersaud YR, Stratton A, Tierney S, Wai EK, Phan P, Kingwell S, Magnan MC, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Salo P, Bouchard J, Jacobs B, Spanninga B, Hoelen TCA, Johnson S, Arts JJC, Bailey CS, Urquhart JC, Glennie RA, Rampersaud YR, Fisher CG, Levett JJ, Elkaim LM, Alotaibi NM, Weber MH, Dea N, Abd-El-Barr MM, Cherry A, Yee A, Jaber N, Fehlings M, Cunningham E, Adams T, El-Mughayyar D, Bigney E, Vandewint A, Manson N, Abraham E, Small C, Attabib N, Richardson E, Hebert J, Werier J, Smit K, Villeneuve J, Sachs A, Abdelbary H, Al-Mosuli YK, Rakhra K, Phan P, Nagata K, Gum JL, Brown ME, Daniels CL, Carreon LY, Bonello JP, Koucheki R, Abbas A, Lex J, Nucci N, Whyne C, Larouche J, Ahn H, Finkelstein J, Lewis S, Toor J, Lee NJ, Orosz LD, Gum JL, Poulter GT, Jazini E, Haines CM, Good CR, Lehman RA, Crawford EJ, Ravinsky RA, Perruccio AV, Coyte PC, Rampersaud YR, Freire-Archer M, Sarraj M, AlShaalan F, Koziarz A, Thornley P, Alnemari H, Oitment C, Bharadwaj L, El-Mughayyar D, Bigney E, Manson N, Abraham E, Small C, Attabib N, Richardson E, Kearney J, Kundap U, Investigators C, Hebert J, Elkaim LM, Levett JJ, Niazi F, Bokhari R, Alotaibi NM, Lasry OJ, Bissonnette V, Yen D, Muddaluru VS, Gandhi P, Mastrolonardo A, Guha D, Pahuta MA, Christie SD, Vandertuin T, Ritcey G, Rainham D, Alhawsawi M, Mumtaz R, Abdelnour M, Qumquji F, Soroceanu A, Swamy G, Thomas K, Wai E, Phan P, Bhatt FR, Orosz LD, Yamout T, Good CR, Schuler TC, Nguyen T, Jazini E, Haines CM, Oppermann M, Gupta S, Ramjist J, Oppermann PS, Yang VXD, Levett JJ, Elkaim LM, Niazi F, Weber MH, Ioro-Morin C, Bonizzato M, Weil AG, Oppermann M, Ramjist J, Gupta S, Oppermann PS, Yang VXD, Jung Y, Muddalaru V, Gandhi P, Guha D, Koucheki R, Bonello JP, Abbas A, Lex JR, Nucci N, Whyne C, Yee A, Ahn H, Finkelstein J, Larouche J, Lewis S, Toor J, Dhawan A, Dhawan J, Sharma AN, Azzam DB, Cherry A, Fehlings MG, Orosz LD, Lee NJ, Yamout T, Gum JL, Lehman RA, Poulter GT, Haines CM, Jazini E, Good CR, Ridha BB, Persad A, Fourney D, Byers E, Gallagher M, Sugar J, Brown JL, Wang Z, Shen J, Boubez G, Al-Shakfa F, Yuh SJ, Shedid D, Rizkallah M, Singh M, Singh PK, Lawrence PL, Dell S, Goodluck-Tyndall R, Wade K, Morgan M, Bruce C, Silva YGMD, Pimenta N, LaRue B, Aldakhil S, Blanchard J, Couture J, Goulet J, Bednar DA, Raj R, Urquhart J, Bailey C, Christie SD, Greene R, Chaves JPG, Zarrabian M, Sigurdson L, Manoharan R, Cherry A, Iorio C, Srikandarajah N, Xu M, Raj A, Nielsen CJ, Rampersaud YR, Lewis SJ. Canadian Spine Society: 23rd Annual Scientific Conference, Wednesday, March 1 - Saturday, March 4, Fairmont Le Château Frontenac, Québec, Que., Canada. Can J Surg 2023; 66:S1-S53. [PMID: 37567613 DOI: 10.1503/cjs.006523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2023] Open
Affiliation(s)
| | | | | | | | | | - Vivien Chan
- Division of Neurosurgery, University of Alberta, Edmonton, Alta
- UCLA Health, Los Angeles, Calif
| | - Geoffrey Shumilak
- Division of Neurosurgery, University of Alberta, Edmonton, Alta
- Division of Neurosurgery, University of Saskatchewan, Saskatoon, Sask
| | - Andrew Nataraj
- Division of Neurosurgery, University of Alberta, Edmonton, Alta
| | | | - Nicholas J Yee
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | | | | | | | | | - David Lebel
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | - Mark W Camp
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | | | - Neil Saran
- Division of Orthopaedic Surgery, McGill University, Montréal, Que
| | | | - Jean A Ouellet
- Division of Orthopaedic Surgery, McGill University, Montréal, Que
| | | | - Holly Livock
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Luke Beaton
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Andrew Tice
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kevin Smit
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Ryan Graham
- Health Science Department, University of Ottawa, Ottawa, Ont
| | - Matias Pereira Duarte
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | | | | | - Julie Joncas
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
| | - Jean-Marc Mac-Thiong
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | - Hubert Labelle
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | - Soraya Barchi
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
| | - Stefan Parent
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | - Tara Gholamian
- Faculty of Medicine, University of Ottawa, Ottawa, Ont
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ont
| | - Holly Livock
- Department of Orthopaedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Andrew Tice
- Department of Orthopaedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kevin Smit
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ont
- Department of Orthopaedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Samuel Yoon
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | | | | | | | | | | | | | - David Lebel
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | - Mark W Camp
- Hospital for Sick Children, Toronto, Ont
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Chloe Cadieux
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | - Renan Fernandes
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | | | - Radovan Zdero
- Department of Orthopaedic Surgery, Western University, London, Ont
| | - Chris Bailey
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | - Parham Rasoulinejad
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | | | | | | | | | | | | | | | | | | | - Kristen Beange
- Department of Systems and Computer Engineering, Carleton University, Ottawa, Ont
- Ottawa-Carleton Institute for Biomedical Engineering, Ottawa, Ont
| | - Ryan Graham
- Ottawa-Carleton Institute for Biomedical Engineering, Ottawa, Ont
- School of Human Kinetics, University of Ottawa, Ottawa, Ont
| | - Holly Livock
- Division of Orthopedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kevin Smit
- Division of Orthopedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | | | | | | | | | | | | | | | | | | | | | - Gemah Moammer
- Grand River Hospital, Waterloo, Ont
- Department of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - John Mc Phee
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Ont
| | - Taryn Walker
- London Health Sciences Centre Combined Neurosurgical and Orthpaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Jennifer C Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthpaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | - Chris S Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthpaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Brandon J Herrington
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
| | - Renan R Fernandes
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
| | - Jennifer C Urquhart
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Parham Rasoulinejad
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Fawaz Siddiqi
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Christopher S Bailey
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Jennifer Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Renan R Fernandes
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | - Chris S Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Michael M H Yang
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
- O'Brien Institute of Public Health, Calgary, Alta
| | - Jay Riva-Cambrin
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | | | - Steven Casha
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Chloe N Cadieux
- Division of Orthopaedic Surgery, Western University, London, Ont
| | | | - Renan Fernandes
- Division of Orthopaedic Surgery, Western University, London, Ont
| | - Andrew Glennie
- Department of Surgery, Dalhousie University, Halifax, N.S
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Raja Rampersaud
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | | | | | | | | | | | | | | | | | | | | | | | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | - Mark Xu
- Krembil Research Institute Arthritis Institute, Toronto, Ont
| | | | | | | | | | | | - Dana El-Mughayyar
- Canada East Spine Centre, Saint John, N.B
- Department of Kinesiology, University of New Brunswick, Fredericton, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Erin Bigney
- Canada East Spine Centre, Saint John, N.B
- Department of Kinesiology, University of New Brunswick, Fredericton, N.B
- Horizon Health Network, Saint John, N.B
| | - Eden Richardson
- Canada East Spine Centre, Saint John, N.B
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Najmedden Attabib
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - George Kolyvas
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Andre LeRoux
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | | | | | - Jeff Hebert
- Department of Kinesiology, University of New Brunswick, Fredericton, N.B
| | | | | | - Jesse Shen
- Centre hospitalier de l'Université de Montréal, Montréal, Que
| | | | | | - Zhi Wang
- Centre hospitalier de l'Université de Montréal, Montréal, Que
| | - Ghassan Boubez
- Centre hospitalier de l'Université de Montréal, Montréal, Que
| | - Tiffany Lung
- Division of Orthopaedic Surgery, Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Ont
| | - Mayilee Canizares
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Anthony Perruccio
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Raja Rampersaud
- Division of Orthopaedic Surgery, Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Ont
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Eric J Crawford
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Robert A Ravinsky
- Department of Orthopaedics & Physical Medicine, Medical University of South Carolina, Charleston, S.C
| | - Anthony V Perruccio
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
| | - Y Raja Rampersaud
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
- Division of Orthopaedic Surgery, Toronto Western Hospital, University Health Network & University of Toronto, Toronto, Ont
| | - Peter C Coyte
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Michael Bond
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - Arthur R Bartolozzi
- Combined Neurological and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Ori Barzilai
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | - Dean Chou
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | - Ilya Laufer
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Arjun Sahgal
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | | | - Aron Lazary
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | - Michael H Weber
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Stefano Boriani
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Paul M Arnold
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | | | | | - Ziya L Gokaslan
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Nicolas Dea
- Combined Neurological and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
- AO Foundation, Davos, Graubünden, Switzerland
| | | | - Raphaele Charest-Morin
- Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, B.C
| | - Ilya Laufer
- Department of Neurosurgery, New York University Langone Health, New York, N.Y
| | - William Teixeira
- Department of Orthopedic, Spine Surgery Division, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | - Ori Barzilai
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, N.Y
| | | | - Michael G Fehlings
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ont
| | - Dean Chou
- Department of Neurosurgery, Division of Spine Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York, N.Y
| | | | - Ziya L Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, R.I
| | - Nicolas Dea
- Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, B.C
| | | | - Tony Goldschlager
- Department of Neurosurgery, Monash Health, Melbourne, Victoria, Australia
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard University, Boston, Mass
| | - John E O'Toole
- Department of Neurosurgery, Rush University, Chicago, Ill
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, N.Y
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | | | - Michael H Weber
- Spine Surgery Program, Department of Surgery, Montréal General Hospital, McGill University Health Centre, Montréal, Que
| | - Addisu Mesfin
- Department of Orthopaedics, University of Rochester Medical Center, Rochester, N.Y
| | - Norio Kawahara
- Department of Orthopaedic Surgery, Kanazawa Medical University, Kahoku, Ishikawa, Japan
| | - Rory Goodwin
- Department of Neurosurgery, Spine Division, Duke University, Durham, N.C
| | - Alexander Disch
- Department of Orthopaedics, University Hospital Carl Gustav Carus at the TU Dresden, Dresden, Saxony, Germany
| | - Aron Lazary
- National Center for Spinal Disorders, Budapest, Hungary
| | | | - Arjun Sahgal
- Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Laurence Rhines
- Department of Neurosurgery, Division of Surgery, The University of Texas MD Anderson Cancer Centre, Houston, Tex
| | - Charles G Fisher
- Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, B.C
| | - Anne L Versteeg
- Division of Surgery, Department of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Roxanne Gal
- Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Leilani Reich
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Angela Tsang
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Allan Aludino
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Arjun Sahgal
- Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Jorrit-Jan Verlaan
- Department of Orthopaedic Surgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Charles G Fisher
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Lenny Verkooijen
- Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | | | | | | | | | | | | | | | | | | | - Mark A MacLean
- Department of Surgery, Dalhousie University, Halifax, N.S
| | | | | | | | - C Rory Goodwin
- Duke University Medical Center, Duke University, Durham, N.C
| | - Michael Weber
- Combined Neurological and Orthopedic Spine Program, McGill University, Montréal, Que
| | | | | | | | | | | | | | | | | | | | | | | | - Marcia Rebecca Correale
- University Health Network, Toronto Western Hospital, Schroeder Arthritis Institute, Toronto, Ont
- Department of Physical Therapy, University of Toronto, Toronto, Ont
| | - Leslie Jayne Soever
- University Health Network, Toronto Western Hospital, Schroeder Arthritis Institute, Toronto, Ont
- Department of Physical Therapy, University of Toronto, Toronto, Ont
| | - Raja Rampersaud
- University Health Network, Toronto Western Hospital, Schroeder Arthritis Institute, Toronto, Ont
- Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, Toronto, Ont
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mohamed Sarraj
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | | | - Patrick Thornley
- Division of Orthopaedic Surgery, Western University, London, Ont
| | - Frank Koziarz
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | | | | | | | - Edward Kachur
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - Mohit Bhandari
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - Colby Oitment
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - Armaan K Malhotra
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Michael Balas
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Blessing N R Jaja
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Erin M Harrington
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Johann Hofereiter
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Rachael H Jaffe
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Yingshi He
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - James P Byrne
- Department of Surgery, Johns Hopkins Hospital, Baltimore, Md
| | - Jefferson R Wilson
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Christopher D Witiw
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | | | | | | | - Marcel F Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nathan Evaniew
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | | | | | | | | | | | - Charles G Fisher
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Raphaële Charest-Morin
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Tamir Ailon
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Brian K Kwon
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Ryan V Sandarage
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
- The Ottawa Hospital, Ottawa, Ont
| | - Ahmad Galuta
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
| | | | - Jason C S Kwan
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
| | - Eve C TsaI
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
- The Ottawa Hospital, Ottawa, Ont
| | - Laureen D Hachem
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - James Hong
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Alexander Velumian
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Andrea J Mothe
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Charles H Tator
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Michael G Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Husain Shakil
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | | | | | - Rachael Jaffe
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | - Armaan K Malhotra
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | - Jefferson R Wilson
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | - Christopher D Witiw
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | | | - Marcel F Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nathan Evaniew
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Melody Chen
- Praxis Spinal Cord Institute, Vancouver, B.C
| | | | - Jijie Xu
- Praxis Spinal Cord Institute, Vancouver, B.C
| | | | | | - Brian Kwon
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Charlotte Dandurand
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Sander Muijs
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Marcel Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Klaus Schnake
- Malteser Waldkrankenhaus Erlangen, Erlangen, Bavaria, Germany
| | | | - Ouml Ner
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Ryan Greene
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | - Bradley Furlong
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | | | - Michelle Swab
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Amanda Hall
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | | | | | | | - Marcel F Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | - Ouml Ner
- University Medical Centre Utrecht, Utrecht, Netherlands
| | | | | | | | | | | | - Jin Wee Tee
- Alfred Hospital, Melbourne, Victoria, Australia
| | | | - John C France
- Orthopedics, West Virginia University, Morgantown, W.V
| | - Richard Allen
- Department of Orthopaedic Surgery, University of California at San Diego, San Diego, Calif
| | | | | | | | - Charlotte Dandurand
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | - Ouml Ner
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Sander Muijs
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Klaus Schnake
- Malteser Waldkrankenhaus Erlangen, Erlangen, Bavaria, Germany
| | - Marcel Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | | | | | | | | | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | | | | | | | | | - Mathieu Laflamme
- Centre hospitalier universitaire de Québec, Université Laval, Québec, Que
| | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | - Julien Goulet
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Sonia Bedard
- Neurosurgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Newton Pimenta
- Neurosurgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Jocelyn Blanchard
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Jerome Couture
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Bernard LaRue
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | | | - Tyler Adams
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Erin Cunningham
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Dana El-Mughayyar
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Erin Bigney
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Amanda Vandewint
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
| | - Niel Manson
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Najmedden Attabib
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Eden Richardson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Jeffery Hebert
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
| | - Michael Bond
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - Troy Hillier
- Faculty of Medicine, Dalhousie University, Halifax, N.S
| | - Chris S Bailey
- Orthopaedic Surgery Division, Western University, London, Ont
| | - Charles Fisher
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Raja Rampersaud
- Orthopaedic Surgery Division, University of Toronto, Toronto, Ont
| | | | - R Andrew Glennie
- Orthopaedic Surgery Division, Dalhousie University, Halifax, N.S
| | | | | | | | | | | | | | | | - David Ben-Israel
- Department of Orthopaedic Surgery and Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Eric J Crawford
- Orthopaedic Surgery Division, University of Toronto, Toronto, Ont
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Eldon Spackman
- Department of Orthopaedic Surgery and Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Raja Rampersaud
- Orthopaedic Surgery Division, University of Toronto, Toronto, Ont
| | - Kenneth C Thomas
- Department of Orthopaedic Surgery and Clinical Neurosciences, University of Calgary, Calgary, Alta
| | | | | | | | | | - Ahmed Cherry
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Aditiya Raj
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Mark Xu
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Carlo Iorio
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Chris Bailey
- London Health Sciences Centre, London, Ont
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Nicolas Dea
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Vancouver Spine Surgery Institute, Vancouver, B.C
| | - Charles Fisher
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Vancouver Spine Surgery Institute, Vancouver, B.C
| | - Hamilton Hall
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Kenneth Thomas
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Department of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Mayilee Canizares
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Arthritis Program, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Yoga Raja Rampersaud
- Toronto Western Hospital, University Health Network, Toronto, Ont
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Jennifer Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Renan R Fernandes
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | - Chris Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Michael M H Yang
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
- O'Brien Institute of Public Health, Calgary, Alta
| | - Rena Far
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Tolulope Sajobi
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Jay Riva-Cambrin
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Steven Casha
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Michael Bond
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | - James McDonald
- Division of Orthopaedics, Department of Surgery, Memorial University of Newfoundland, St. John's, N.L
| | | | | | - Abdulmajeed Alahmari
- Division of Orthopaedics, Department of Surgery, Western University, London, Ont
| | - Raja Rampersaud
- Department of Orthopaedic Surgery, Toronto Western Hospital, Toronto, Ont
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital and the University of British Columbia, Vancouver, B.C
| | - Chris Bailey
- Division of Orthopaedics, Department of Surgery, Western University, London, Ont
| | - Andrew Glennie
- Division of Orthopedics, Dalhousie University, Halifax, N.S
| | - Nathan Evaniew
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Matthew Coyle
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | | | | | - W Bradley Jacobs
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - David W Cadotte
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Kenneth C Thomas
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | | | - Jérôme Paquet
- Department of Surgery, Université de Québec, Québec, Que
| | - Andrew Nataraj
- Neurosurgery Division, University of Alberta, Edmonton, Alta
| | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Michael H Weber
- Orthopaedic Surgery Division, McGill University, Montréal, Que
| | - Philippe Phan
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Raphaële Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Charles G Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Hamilton Hall
- Department of Surgery, University of Toronto, Toronto, Ont
| | | | - Nicolas Dea
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Armaan K Malhotra
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Aileen M Davis
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Yingshi He
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Erin M Harrington
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Blessing N R Jaja
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Mary P Zhu
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Husain Shakil
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - W Bradley Jacobs
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - David W Cadotte
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Jérôme Paquet
- Centre de recherche du Centre hospitalier universitaire (CHU) de Québec, CHU de Québec-Université Laval, Québec, Que
| | - Michael H Weber
- Division of Orthopedic Surgery, McGill University, Montréal, Que
| | | | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Andrew Nataraj
- Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Edmonton, Alta
| | - Christopher S Bailey
- Division of Orthopaedics, Western University, London Health Sciences Centre, London, Ont
| | - Michael G Johnson
- Department of Surgery, Section of Orthopaedics and Neurosurgery, University of Manitoba, Winnipeg, Man
| | - Charles G Fisher
- Combined Neurosurgical and Orthopedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Neil Manson
- Canada East Spine Centre, Saint John Orthopedics, Dalhousie University, Saint John, N.B
| | - Y Raja Rampersaud
- Division of Orthopaedic Surgery and Neurosurgery, Toronto Western Hospital, Toronto, Ont
| | - Kenneth C Thomas
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Hamilton Hall
- Department of Surgery, University of Toronto, Toronto, Ont
| | - Michael G Fehlings
- Division of Orthopaedic Surgery and Neurosurgery, Toronto Western Hospital, Toronto, Ont
| | - Henry Ahn
- Division of Orthopedic Surgery, St Michael's Hospital, Toronto, Ont
| | - Howard J Ginsberg
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Christopher D Witiw
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Jefferson R Wilson
- Canada East Spine Centre, Saint John Orthopedics, Dalhousie University, Saint John, N.B
| | - Alwalaa Althagafi
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopaedic Surgery, University of British Columbia, Vancouver, B.C
| | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Raphaële Charest-Morin
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopaedic Surgery, University of British Columbia, Vancouver, B.C
| | - Michael A Rizzuto
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Tamir Ailon
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Nathan Evaniew
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Bradley W Jacobs
- Combined Neurosurgical and Orthopedic Spine Program, University of Calgary, Calgary, Alta
| | - Jerome Paquet
- Centre de recherche du Centre hospitalier universitaire (CHU) de Québec, CHU de Québec-Université Laval, Québec, Que
| | - Raja Rampersaud
- Divisions of Orthopaedics and Neurosurgery, University of Toronto, Toronto, Ont
| | - Hamilton Hall
- Department of Surgery, University of Toronto, Toronto, Ont
| | - Christopher S Bailey
- Department of Orthopedic Surgery, London Health Sciences Centre, Western University, London, Ont
| | - Michael Weber
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Que
| | - Michael G Johnson
- Department of Surgery, Section of Orthopedics and Neurosurgery, University of Manitoba, Winnipeg, Man
| | - Andrew Nataraj
- Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Edmonton, Alta
| | - Najmedden Attabib
- Canada East Spine Centre, Division of Neurosurgery, Zone 2, Horizon Health Network, Saint John, N.B
| | - David W Cadotte
- Combined Neurosurgical and Orthopedic Spine Program, University of Calgary, Calgary, Alta
| | - Neil Manson
- Canada East Spine Centre, Saint John Orthopedics, Dalhousie Medicine New Brunswick, Saint John Campus, Saint John, N.B
| | | | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Kenneth C Thomas
- Divisions of Orthopaedics and Neurosurgery, University of Toronto, Toronto, Ont
| | | | - Charles G Fisher
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Vishal P Varshney
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
| | - Ramesh Sahjpaul
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
- Division of Neurosurgery, University of British Columbia, Vancouver, B.C
| | - Scott Paquette
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
- Division of Neurosurgery, University of British Columbia, Vancouver, B.C
| | - Jill Osborn
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | | | | | | | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | | | - Mark Xu
- University Health Network, Toronto, Ont
| | | | | | | | - Alexandra Stratton
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Sarah Tierney
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Eugene K Wai
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Philippe Phan
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Stephen Kingwell
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | | | | | | | | | | | | | - Barend Spanninga
- Laboratory for Experimental Orthopaedics, Department of Orthopaedic Surgery, Maastricht University, Maastricht, Limburg, Netherlands
| | - Thomáy-Claire A Hoelen
- Department of Orthopaedic Surgery, Care and Public Health Research Institute, Maastricht University Medical Center, Maastricht, Limburg, Netherlands
| | | | - Jacobus J C Arts
- Department of Orthopaedic Surgery, Care and Public Health Research Institute, Maastricht University Medical Center, Maastricht, Limburg, Netherlands
- Orthopaedic Biomechanics, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, North Brabant, Netherlands
| | - Chris S Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Jennifer C Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | | | - Lior M Elkaim
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | - Naif M Alotaibi
- Department of Neurosurgery, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Michael H Weber
- Department of Orthopaedic Surgery, McGill University, Montréal, Que
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopaedic Surgery, University of British Columbia, Vancouver, B.C
| | | | | | - Albert Yee
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Nadia Jaber
- University of Toronto Spine Program, University of Toronto, Toronto, Ont
| | | | - Erin Cunningham
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Tyler Adams
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Dana El-Mughayyar
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Erin Bigney
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Amanda Vandewint
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | | | | | - Jeffery Hebert
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
| | - Joel Werier
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Kevin Smit
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - James Villeneuve
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Adam Sachs
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Hesham Abdelbary
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | | | - Kawan Rakhra
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Philippe Phan
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | | | | | | | | | | | | | - Robert Koucheki
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ont
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ont
| | - Aazad Abbas
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ont
| | - Johnathan Lex
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ont
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
| | - Nicholas Nucci
- Division of Orthopedic Surgery, University of Ottawa, Ottawa, Ont
| | - Cari Whyne
- Holland Musculoskeletal Research Program, Sunnybrook Research Institute, Toronto, Ont
| | - Jeremie Larouche
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Henry Ahn
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Joel Finkelstein
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Stephen Lewis
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Toronto Western Hospital, Toronto, Ont
| | - Jay Toor
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
| | - Nathan J Lee
- Columbia University Medical Center, New York, N.Y
| | | | | | | | | | | | | | | | - Eric J Crawford
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Robert A Ravinsky
- Department of Orthopaedics & Physical Medicine, Medical University of South Carolina, Charleston, S.C
| | - Anthony V Perruccio
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
| | - Peter C Coyte
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Y Raja Rampersaud
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
- Division of Orthopaedic Surgery, Toronto Western Hospital, University Health Network & University of Toronto, Toronto, Ont
| | | | - Mohamed Sarraj
- Orthopaedic Surgery Division, McMaster University, Hamilton, Ont
| | - Fawaz AlShaalan
- King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
| | - Alex Koziarz
- Orthopaedic Surgery Division, McMaster University, Hamilton, Ont
| | | | | | - Colby Oitment
- Orthopaedic Surgery Division, McMaster University, Hamilton, Ont
| | - Lalita Bharadwaj
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
| | - Dana El-Mughayyar
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Erin Bigney
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Najmedden Attabib
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Eden Richardson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | - Jeffrey Hebert
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
| | - Lior M Elkaim
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | | | - Farbod Niazi
- Faculty of Medicine, Université de Montréal, Montréal, Que
| | - Rakan Bokhari
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | | | - Oliver J Lasry
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | | | | | - Varun S Muddaluru
- Graduate Entry Medicine, Royal College of Surgeons in Ireland, Dublin, Leinster, Ireland
| | - Pranjan Gandhi
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | | | - Daipayan Guha
- Division of Neurosurgery, McMaster University, Hamilton, Ont
| | - Markian A Pahuta
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | | | | | | | | | - Mamdoh Alhawsawi
- King Saud Medical City, Riyadh, Saudi Arabia
- Ottawa Civic Hospital, Ottawa, Ont
| | | | | | - Feras Qumquji
- King Saud Medical City, Riyadh, Saudi Arabia
- Ottawa Civic Hospital, Ottawa, Ont
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marcelo Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Shaurya Gupta
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Joel Ramjist
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Priscila Santos Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
| | - Victor X D Yang
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | | | - Lior M Elkaim
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | - Farbod Niazi
- Faculty of Medicine, Université de Montréal, Montréal, Que
| | - Michael H Weber
- Department of Orthopaedic Surgery, McGill University, Montréal, Que
| | - Christian Ioro-Morin
- Service de neurochirurgie, Département de chirurgie, Université de Sherbrooke, Sherbrooke, Que
| | - Marco Bonizzato
- Department of Electrical Engineering and Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Que
- Department of Neuroscience and Centre interdisciplinaire sur le cerveau et l'apprentissage, Université de Montréal, Montréal, Que
| | - Alexander G Weil
- Division of Neurosurgery, St-Justine University Hospital, Montréal, Que
| | - Marcelo Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Joel Ramjist
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Shaurya Gupta
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Priscila S Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
| | - Victor X D Yang
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Youngkyung Jung
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | - Varun Muddalaru
- Royal College of Surgeons in Ireland, Dublin, Leinster, Ireland
| | - Pranjan Gandhi
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | - Daipayan Guha
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | | | | | - Aazad Abbas
- Faculty of Medicine, University of Toronto, Toronto, Ont
| | - Johnathan R Lex
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | - Nicholas Nucci
- Division of Orthopedic Surgery, University of Ottawa, Ottawa, Ont
| | - Cari Whyne
- Sunnybrook Holland Musculoskeletal Research Program, Toronto, Ont
| | - Albert Yee
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Henry Ahn
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- St. Michael's Hospital, Toronto, Ont
| | - Joel Finkelstein
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Jeremie Larouche
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Stephen Lewis
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Toronto Western Hospital, Toronto, Ont
| | - Jay Toor
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | - Alaina Dhawan
- Faculty of Health Sciences, Queen's University, Kingston, Ont
| | - Jillian Dhawan
- Faculty of Health Sciences, Queen's University, Kingston, Ont
| | - Ajay N Sharma
- Faculty of Health Sciences, University of California, Irvine, Calif
| | - Daniel B Azzam
- Faculty of Health Sciences, Tufts University, Boston, Mass
| | - Ahmed Cherry
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | | | | | - Nathan J Lee
- Columbia University Medical Center, New York, N.Y
| | | | | | | | | | | | | | | | | | | | | | - Elizabeth Byers
- Biomedical Engineering, Pennsylvania State University, University Park, Pa
| | | | | | - Justin L Brown
- Biomedical Engineering, Pennsylvania State University, University Park, Pa
| | | | | | | | | | | | | | | | | | | | | | - Shevaughn Dell
- University Hospital of the West Indies, Kingston, Jamaica
| | | | - Kevin Wade
- University Hospital of the West Indies, Kingston, Jamaica
| | | | - Carl Bruce
- Department of Surgery, University of the West Indies, Jamaica
| | | | - Newton Pimenta
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | - Bernard LaRue
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | - Salman Aldakhil
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | | | - Jerome Couture
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | - Julien Goulet
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
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Bydon M, Shin JH, Timmons SD, Potts EA, Chan AK. Introduction. Machine learning in neurosurgery: transitioning to a new era of contemporary medicine. Neurosurg Focus 2023; 54:E1. [PMID: 37283441 DOI: 10.3171/2023.3.focus23210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
- Mohamad Bydon
- 1Department of Neurologic Surgery, Mayo Clinic Neuro-Informatics Laboratory, Mayo Clinic, Rochester, Minnesota
| | - John H Shin
- 2Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Shelly D Timmons
- 3Department of Neurological Surgery, Indiana University School of Medicine and Indiana University Health, Indianapolis, Indiana; and
| | - Eric A Potts
- 4Department of Neurological Surgery, Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Andrew K Chan
- 5Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork/Presbyterian, New York, New York
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Fourman MS, Siraj L, Duvall J, Ramsey DC, De La Garza Ramos R, Hadzipasic M, Connolly I, Williamson T, Shankar GM, Schoenfeld A, Yassari R, Massaad E, Shin JH. Can We Use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Postoperative Adverse Events? World Neurosurg 2023; 174:e26-e34. [PMID: 36805503 DOI: 10.1016/j.wneu.2023.02.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVE Group patients who required open surgery for metastatic breast cancer to the spine by functional level and metastatic disease characteristics to identify factors that predispose to poor outcomes. METHODS A retrospective analysis included patients managed at 2 tertiary referral centers from 2008 to 2020. The primary outcome was a 90-day adverse event. A 2-step unsupervised cluster analysis stratified patients into cohorts using function at presentation, preoperative spine radiation, structural instability, epidural spinal cord compression (ESCC), neural deficits, and tumor location/hormone status. Comparisons were performed using χ2 test and one-way analysis of variance. RESULTS Five patient "clusters" were identified. High function (HIGH) had thoracic metastases and an Eastern Cooperative Oncology Group (ECOG) score of 1.0 ± 0.8. Low function/irradiated (LOW + RADS) had preoperative radiation and the lowest Karnofsky scores (56.0 ± 10.6). Estrogen receptor or progesterone receptor (ER/PR) positive patients had >90% estrogen/progesterone positivity and moderate Karnofsky scores (74.0 ± 11.5). Lumbar/noncompressive (NON-COMP) had the fewest patients with ESCC grade 2 or 3 epidural disease (42.1%, P < 0.001). Low function/neurologic deficits (LOW + NEURO) had ESCC grade 2 or 3 disease and neurologic deficits. Adverse event rates were 25.0% in the HIGH group, 73.3% in LOW + RADS, 24.0% in ER/PR, 31.6% in NON-COMP, and 60.0% in LOW + NEURO (P = 0.003). CONCLUSIONS Function at presentation, tumor hormone signature, radiation history, and epidural compression delineated postoperative trajectory. We believe our results can aid in expectation management and the identification of at-risk patients who may merit closer surveillance following surgical intervention.
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Affiliation(s)
- Mitchell S Fourman
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Orthopaedic Surgery, Montefiore Medical Center, Bronx, New York, USA
| | - Layla Siraj
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Julia Duvall
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Duncan C Ramsey
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Muhamed Hadzipasic
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ian Connolly
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Theresa Williamson
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ganesh M Shankar
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Schoenfeld
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Reza Yassari
- Department of Neurological Surgery, Montefiore Medical Center, Bronx, New York, USA
| | - Elie Massaad
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - John H Shin
- Departments of Orthopaedic Surgery and Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
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Elsamadicy AA, Freedman I, Koo AB, David WB, Reeves BC, Hengartner A, Pennington Z, Laurans M, Kolb L, Shin JH, Sciubba D. Impact of Racial Disparities on All-Cause Mortality in Patients With Tumors of the Spinal Cord or Spinal Meninges: A Propensity-Score Analysis. Global Spine J 2023; 13:1365-1373. [PMID: 34318727 PMCID: PMC10416582 DOI: 10.1177/21925682211033827] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
STUDY DESIGN Retrospective cohort study. OBJECTIVE The influence that race has on mortality rates in patients with spinal cord tumors is relatively unknown. The aim of this study was to investigate the influence of race on the outcomes of patients with primary malignant or nonmalignant tumors of the spinal cord or spinal meninges. METHODS The Surveillance, Epidemiology, and End Results (SEER) Registry was used to identify all patients with a code for primary malignant or nonmalignant tumor of the spinal cord (C72.0) or spinal meninges (C70.1) from 1973 through 2016. Racial groups (African-American/Black vs. White) were balanced using propensity-score (PS) matching using a non-parsimonious 1:1 nearest neighbor matching algorithm. Overall survival (OS) estimates were obtained using the Kaplan-Meier method and compared across non-PS-matched and PS-matched groups using log-rank tests. Associations of survival with clinical variables was assessed using doubly robust Cox proportional-hazards (CPH) regression analysis. RESULTS There were a total of 7,498 patients identified with 648 (6.8%) being African American. African-American patients with primary intradural spine tumors were more likely to die of all causes than were White patients in both the non-PS-matched [HR: 1.26, 95% CI: (1.04, 1.51), P = 0.01] and PS-matched cohorts [HR: 1.64, 95% CI: (1.28, 2.11), P < 0.0001]. On multivariate CPH regression analysis age at diagnosis [HR: 1.03, 95% CI: (1.02, 1.05), P < 0.0001], race [HR: 1.82, 95% CI: (1.22, 2.74), P = 0.004), and receipt of RT [HR: 2.62, 95% CI: (1.56, 4.37), P = 0.0002) were all significantly associated with all-cause mortality, when controlling for other demographic, tumor, and treatment variables. CONCLUSIONS Our study provides population-based estimates of the prognosis for patients with primary malignant or nonmalignant tumors of the spinal cord or spinal meninges and suggests that race may impact all-cause mortality.
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Affiliation(s)
| | - Isaac Freedman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew B. Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Wyatt B. David
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Benjamin C. Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Astrid Hengartner
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Zach Pennington
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Maxwell Laurans
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Luis Kolb
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - John H. Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Elsamadicy AA, Koo AB, David WB, Reeves BC, Sherman JJZ, Craft S, Hersh AM, Duvall J, Lo SFL, Shin JH, Mendel E, Sciubba DM. Differences in Outcomes and Health Care Resource Utilization After Surgical Intervention for Metastatic Spinal Column Tumor in Safety-Net Hospitals. Spine (Phila Pa 1976) 2023; 48:800-809. [PMID: 36972069 DOI: 10.1097/brs.0000000000004643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/19/2023] [Indexed: 05/10/2023]
Abstract
STUDY DESIGN Observational cohort study. OBJECTIVE The aim of this study was to investigate the association between safety-net hospital (SNH) status and hospital length of stay (LOS), cost, and discharge disposition in patients undergoing surgery for metastatic spinal column tumors. SUMMARY OF BACKGROUND DATA SNHs serve a high proportion of Medicaid and uninsured patients. However, few studies have assessed the effects of SNH status on outcomes after surgery for metastatic spinal column tumors. PATIENTS AND METHODS This study was performed using the 2016-2019 Nationwide Inpatient Sample database. All adult patients undergoing metastatic spinal column tumor surgeries, identified using ICD-10-CM coding, were stratified by SNH status, defined as hospitals in the top quartile of Medicaid/uninsured coverage burden. Hospital characteristics, demographics, comorbidities, intraoperative variables, postoperative complications, and outcomes were assessed. Multivariable analyses identified independent predictors of prolonged LOS (>75th percentile of cohort), nonroutine discharge, and increased cost (>75th percentile of cohort). RESULTS Of the 11,505 study patients, 24.0% (n = 2760) were treated at an SNH. Patients treated at SNHs were more likely to be Black-identifying, male, and lower income quartile. A significantly greater proportion of patients in the non-SNH (N-SNH) cohort experienced any postoperative complication [SNH: 965 (35.0%) vs . N-SNH: 3535 (40.4%), P = 0.021]. SNH patients had significantly longer LOS (SNH: 12.3 ± 11.3 d vs . N-SNH: 10.1 ± 9.5 d, P < 0.001), yet mean total costs (SNH: $58,804 ± 39,088 vs . N-SNH: $54,569 ± 36,781, P = 0.055) and nonroutine discharge rates [SNH: 1330 (48.2%) vs . N-SNH: 4230 (48.4%), P = 0.715) were similar. On multivariable analysis, SNH status was significantly associated with extended LOS [odds ratio (OR): 1.41, P = 0.009], but not nonroutine discharge disposition (OR: 0.97, P = 0.773) or increased cost (OR: 0.93, P = 0.655). CONCLUSIONS Our study suggests that SNHs and N-SNHs provide largely similar care for patients undergoing metastatic spinal tumor surgeries. Patients treated at SNHs may have an increased risk of prolonged hospitalizations, but comorbidities and complications likely contribute greater to adverse outcomes than SNH status alone. LEVEL OF EVIDENCE 3.
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Affiliation(s)
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Wyatt B David
- Department of Orthopedics, Yale University School of Medicine, New Haven, CT
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Andrew M Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD
| | - Julia Duvall
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY
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De la Garza Ramos R, Choi JH, Naidu I, Benton JA, Echt M, Yanamadala V, Passias PG, Shin JH, Altschul DJ, Goodwin CR, Sciubba DM, Yassari R. Racial Disparities in Perioperative Morbidity Following Oncological Spine Surgery. Global Spine J 2023; 13:1194-1199. [PMID: 34124959 PMCID: PMC10416608 DOI: 10.1177/21925682211022290] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
STUDY DESIGN Retrospective cohort study. OBJECTIVE To assess the impact of race on complications following spinal tumor surgery. METHODS Adults with cancer who underwent spine tumor surgery were identified in the American College of Surgeons National Surgical Quality Improvement Program datasets from 2012 to 2016. Clavien-Dindo Grade I-II (minor complications) and Clavien-Dindo Grade III-V (major complications including 30-day mortality) complications were compared between non-Hispanic Whites (NHW) and Black patients. A multivariable analysis was also conducted. RESULTS Of 1,226 identified patients, 85.9% were NHW (n = 1,053) and 14.1% were Black (n = 173). The overall rate of Grade I-II complications was 16.2%; 15.1% for NHW patients and 23.1% for Black patients (P = .008). On multivariable analysis, Black patients had significantly higher odds of having a minor complication (OR 1.87; 95% CI, 1.16-3.01; P = .010). On the other hand, the overall rate of Grade III-V complications was 13.3%; 12.5% for NHW patients and 16.2% for Black patients (P = .187). On multivariable analysis, Black race was not independently associated with major complications (OR 1.26; 95% CI, 0.71-2.23; P = .430). Median length of stay was 8 days (IQR 5-13) for NHW patients and 10 days (IQR 6-15) for Black patients (P = .011). CONCLUSION Black patients who underwent metastatic spinal tumor surgery were at a significantly increased risk of perioperative morbidity compared to NHW patients independent of baseline and operative characteristics. Major complications did not differ between groups. Race should be further studied in the context of metastatic spine disease to improve our understanding of these disparities.
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Affiliation(s)
- Rafael De la Garza Ramos
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jong Hyun Choi
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ishan Naidu
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joshua A. Benton
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Murray Echt
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Vijay Yanamadala
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Peter G. Passias
- Department of Orthopaedic and Neurologic Surgery, NYU Langone Orthopedic Hospital, New York Spine Institute, NY, USA
| | - John H. Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David J. Altschul
- Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - C. Rory Goodwin
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Daniel M. Sciubba
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Reza Yassari
- Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
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Kiapour A, Massaad E, Kodigudla MK, Kelkar A, Begley MR, Goel VK, Block JE, Shin JH. Resisting subsidence with a truss Implant: Application of the "Snowshoe" principle for interbody fusion devices. J Biomech 2023; 155:111635. [PMID: 37216894 DOI: 10.1016/j.jbiomech.2023.111635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/10/2023] [Accepted: 05/09/2023] [Indexed: 05/24/2023]
Abstract
The primary objective was to compare the subsidence resistance properties of a novel 3D-printed spinal interbody titanium implant versus a predicate polymeric annular cage. We evaluated a 3D-printed spinal interbody fusion device that employs truss-based bio-architectural features to apply the snowshoe principle of line length contact to provide efficient load distribution across the implant/endplate interface as means of resisting implant subsidence. Devices were tested mechanically using synthetic bone blocks of differing densities (osteoporotic to normal) to determine the corresponding resistance to subsidence under compressive load. Statistical analyses were performed to compare the subsidence loads and evaluate the effect of cage length on subsidence resistance. The truss implant demonstrated a marked rectilinear increase in resistance to subsidence associated with increase in the line length contact interface that corresponds with implant length irrespective of subsidence rate or bone density. In blocks simulating osteoporotic bone, comparing the shortest with the longest length truss cage (40 vs. 60 mm), the average compressive load necessary to induce subsidence of the implant increased by 46.4% (383.2 to 561.0 N) and 49.3% (567.4 to 847.2 N) for 1 and 2 mm of subsidence, respectively. In contrast, for annular cages, there was only a modest increase in compressive load when comparing the shortest with the longest length cage at a 1 mm subsidence rate. The Snowshoe truss cages demonstrated substantially more resistance to subsidence than corresponding annular cages. Clinical studies are required to support the biomechanical findings in this work.
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Affiliation(s)
- Ali Kiapour
- Department of Neurosurgery Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Elie Massaad
- Department of Neurosurgery Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Manoj K Kodigudla
- Engineering Center for Orthopedic Research Excellence, The University of Toledo, Toledo, OH, USA
| | - Amey Kelkar
- Engineering Center for Orthopedic Research Excellence, The University of Toledo, Toledo, OH, USA
| | - Matthew R Begley
- Department of Mechanical Engineering, University of California, Santa Barbara, CA, USA
| | - Vijay K Goel
- Engineering Center for Orthopedic Research Excellence, The University of Toledo, Toledo, OH, USA
| | | | - John H Shin
- Department of Neurosurgery Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Elsamadicy AA, Wang C, Reeves BC, Sherman JJZ, Craft S, Rajjoub R, Koo A, Hersh AM, Pennington Z, Lo SFL, Shin JH, Mendel E, Sciubba DM. Socioeconomic and Racial/Ethnic Disparities in Perception of Health Status and Literacy in Spine Oncological Patients: Insights from the All of Us Research Program. Spine (Phila Pa 1976) 2023:00007632-990000000-00348. [PMID: 37163649 DOI: 10.1097/brs.0000000000004712] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/23/2022] [Indexed: 05/12/2023]
Abstract
STUDY DESIGN A cross-sectional study was performed using the National Institutes of Health All of Us survey database. OBJECTIVE The aim of this study was to assess socioeconomic and racial disparities in the perception of personal health, health literacy, and healthcare access among spine oncology patients. SUMMARY OF BACKGROUND DATA Racial, ethnic, and socioeconomic disparities in health literacy and perception of health status have been described for many disease processes. However, few studies have assessed the prevalence of these disparities among spine oncology patients. METHODS Adult spine oncology patients, identified using ICD-9/10-CM codes, were categorized by race/ethnicity: White/Caucasian (WC), Black/African-American (BAA), and Non-White Hispanic (NWH). Demographics and socioeconomic status were assessed. Questionnaire responses regarding baseline health status, perception of health status, health literacy, and barriers to healthcare were compared. RESULTS Of the 1,175 patients identified, 207 (17.6%) were BAA, 267 (22.7%) were NWH, and 701 (59.7%) were WC. Socioeconomic status varied among cohorts, with WC patients reporting higher levels of education (P<0.001), annual income greater than $50K (P<0.001), and home ownership (P<0.001). BAA and NWH patients reported greater rates of 7-day "Severe fatigue" (P<0.001) and "10/10 pain" (P<0.001) and lower rates of "Completely" able to perform everyday activities (P<0.001). WC patients had a higher response rate for "Excellent/Very Good" regarding their own general health (P<0.001) and quality (P<0.001). The WC cohort had a significantly higher proportion of patients responding "Never" when assessing difficulty understanding (P<0.001) and needing assistance with health materials (P<0.001). BAA and NWH were significantly less likely to report feeling "Extremely" confident with medical forms (P<0.001). BAA and NWH had significantly higher response rates to feeling "Somewhat Worried" about healthcare costs (P<0.001) and with delaying medical care given "Can't Afford Co-pay" (P<0.001). CONCLUSION We identified disparities in perception of health status, literacy, and access among spine oncology patients. LEVEL OF EVIDENCE 4.
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Affiliation(s)
| | - Chelsea Wang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Rami Rajjoub
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Andrew Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Andrew M Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD
| | | | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY
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Duvall J, Massaad E, Fourman M, Siraj L, Shankar G, Shin JH, Kiapour A. 125 Survival Analysis by Molecular Subtype for Surgically Treated Breast Cancer Spine Metastases. Neurosurgery 2023. [DOI: 10.1227/neu.0000000000002375_125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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Massaad E, Taylor M, Shin JH, Williamson T. 488 Prospective Evaluation of Racial Disparities in Surgical Treatment Of Degenerative Spondylolisthesis Using PROMIS Pain Interference And Physical Function Scores. Neurosurgery 2023. [DOI: 10.1227/neu.0000000000002375_488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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Rigney GH, Razak S, Duvall J, Kiapour A, Williamson T, Massaad E, Shin JH. 124 Multidimensional Approach to Frailty Improves Prediction of Adverse Outcomes in Metastatic Spine Tumor Surgery. Neurosurgery 2023. [DOI: 10.1227/neu.0000000000002375_124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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Hadzipasic M, Sten M, Massaad E, Kiapour A, Nageeb G, Sharif M, Bradley J, Nielsen G, Coumans JV, Borges LF, Shin JH, Grodzinsky A, Nia H, Shankar G. 486 Macroscale Forces Drive Targetable Microscale Fibrotic Mechanosensing in Degenerative Spinal Disease. Neurosurgery 2023. [DOI: 10.1227/neu.0000000000002375_486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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Elsamadicy AA, Koo AB, David W, Reeves B, Sherman J, Craft S, Hersh A, Duvall J, Lo SF, Shin JH, Mendel E, Sciubba DM. 622 Differences in Healthcare Resource Utilization After Surgery for Metastatic Spinal Column Tumors in Safety-Net Hospitals. Neurosurgery 2023. [DOI: 10.1227/neu.0000000000002375_622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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Elsamadicy AA, Koo AB, Sherman JJZ, Sarkozy M, Reeves BC, Craft S, Sayeed S, Sandhu MRS, Hersh AM, Lo SFL, Shin JH, Mendel E, Sciubba DM. Association of frailty with healthcare resource utilization after open thoracic/thoracolumbar posterior spinal fusion for adult spinal deformity. Eur Spine J 2023:10.1007/s00586-023-07635-2. [PMID: 36949143 DOI: 10.1007/s00586-023-07635-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 02/24/2023] [Accepted: 03/04/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE The Hospital Frailty Risk Score (HFRS) is a frailty-identifying metric developed using ICD-10-CM codes. While other studies have examined frailty in adult spinal deformity (ASD), the HFRS has not been assessed in this population. The aim of this study was to utilize the HFRS to investigate the impact of frailty on outcomes in ASD patients undergoing posterior spinal fusion (PSF). METHODS A retrospective study was performed using the 2016-2019 National Inpatient Sample database. Adults with ASD undergoing elective PSF were identified using ICD-10-CM codes. Patients were categorized into HFRS-based frailty cohorts: Low (HFRS < 5) and Intermediate-High (HFRS ≥ 5). Patient demographics, comorbidities, intraoperative variables, and outcomes were assessed. Multivariate regression analyses were used to determine whether HFRS independently predicted extended length of stay (LOS), non-routine discharge, and increased cost. RESULTS Of the 7500 patients identified, 4000 (53.3%) were in the Low HFRS cohort and 3500 (46.7%) were in the Intermediate-High HFRS cohort. On average, age increased progressively with increasing HFRS scores (p < 0.001). The frail cohort experienced more postoperative adverse events (p < 0.001), greater LOS (p < 0.001), accrued greater admission costs (p < 0.001), and had a higher rate of non-routine discharge (p < 0.001). On multivariate analysis, Intermediate-High HFRS was independently associated with extended LOS (OR: 2.58, p < 0.001) and non-routine discharge (OR: 1.63, p < 0.001), though not increased admission cost (OR: 1.01, p = 0.929). CONCLUSION Our study identified HFRS to be significantly associated with prolonged hospitalizations and non-routine discharge. Other factors that were found to be associated with increased healthcare resource utilization include age, Hispanic race, West hospital region, large hospital size, and increasing number of AEs.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Margot Sarkozy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Andrew M Hersh
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Shin JH, Bonilla SL, Denny SK, Greenleaf WJ, Herschlag D. Dissecting the energetic architecture within an RNA tertiary structural motif via high-throughput thermodynamic measurements. Proc Natl Acad Sci U S A 2023; 120:e2220485120. [PMID: 36897989 PMCID: PMC10243134 DOI: 10.1073/pnas.2220485120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/01/2023] [Indexed: 03/12/2023] Open
Abstract
Structured RNAs and RNA/protein complexes perform critical cellular functions. They often contain structurally conserved tertiary contact "motifs," whose occurrence simplifies the RNA folding landscape. Prior studies have focused on the conformational and energetic modularity of intact motifs. Here, we turn to the dissection of one common motif, the 11nt receptor (11ntR), using quantitative analysis of RNA on a massively parallel array to measure the binding of all single and double 11ntR mutants to GAAA and GUAA tetraloops, thereby probing the energetic architecture of the motif. While the 11ntR behaves as a motif, its cooperativity is not absolute. Instead, we uncovered a gradient from high cooperativity amongst base-paired and neighboring residues to additivity between distant residues. As expected, substitutions at residues in direct contact with the GAAA tetraloop resulted in the largest decreases to binding, and energetic penalties of mutations were substantially smaller for binding to the alternate GUAA tetraloop, which lacks tertiary contacts present with the canonical GAAA tetraloop. However, we found that the energetic consequences of base partner substitutions are not, in general, simply described by base pair type or isostericity. We also found exceptions to the previously established stability-abundance relationship for 11ntR sequence variants. These findings of "exceptions to the rule" highlight the power of systematic high-throughput approaches to uncover novel variants for future study in addition to providing an energetic map of a functional RNA.
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Affiliation(s)
- John H. Shin
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA94305
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
| | - Steve L. Bonilla
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO80045
| | - Sarah K. Denny
- Department of Genetics, Stanford University School of Medicine, Stanford, CA94305
- Scribe Therapeutics, Alameda, CA94501
| | - William J. Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, CA94305
- Department of Applied Physics, Stanford University, Stanford, CA94305
- Chan Zuckerberg Biohub, San Francisco, CA94158
| | - Daniel Herschlag
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA94305
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
- ChEM-H Institute, Stanford University, Stanford, CA94305
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MacLean MA, Georgiopoulos M, Charest-Morin R, Goodwin CR, Laufer I, Dea N, Shin JH, Gokaslan ZL, Rhines LD, O'Toole JE, Sciubba DM, Fehlings MG, Stephens BF, Bettegowda C, Myrehaug S, Disch AC, Netzer C, Kumar N, Sahgal A, Germscheid NM, Weber MH. Perception of frailty in spinal metastatic disease: international survey of the AO Spine community. J Neurosurg Spine 2023:1-11. [PMID: 36883617 DOI: 10.3171/2023.1.spine221433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/26/2023] [Indexed: 03/06/2023]
Abstract
OBJECTIVE Frailty has not been clearly defined in the context of spinal metastatic disease (SMD). Given this, the objective of this study was to better understand how members of the international AO Spine community conceptualize, define, and assess frailty in SMD. METHODS The AO Spine Knowledge Forum Tumor conducted an international cross-sectional survey of the AO Spine community. The survey was developed using a modified Delphi technique and was designed to capture preoperative surrogate markers of frailty and relevant postoperative clinical outcomes in the context of SMD. Responses were ranked using weighted averages. Consensus was defined as ≥ 70% agreement among respondents. RESULTS Results were analyzed for 359 respondents, with an 87% completion rate. Study participants represented 71 countries. In the clinical setting, most respondents informally assess frailty and cognition in patients with SMD by forming a general perception based on clinical condition and patient history. Consensus was attained among respondents regarding the association between 14 preoperative clinical variables and frailty. Severe comorbidities, extensive systemic disease burden, and poor performance status were most associated with frailty. Severe comorbidities associated with frailty included high-risk cardiopulmonary disease, renal failure, liver failure, and malnutrition. The most clinically relevant outcomes were major complications, neurological recovery, and change in performance status. CONCLUSIONS The respondents recognized that frailty is important, but they most commonly evaluate it based on general clinical impressions rather than using existing frailty tools. The authors identified numerous preoperative surrogate markers of frailty and postoperative clinical outcomes that spine surgeons perceived as most relevant in this population.
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Affiliation(s)
- Mark A MacLean
- 1Department of Surgery, Division of Neurosurgery, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Raphaële Charest-Morin
- 3Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Rory Goodwin
- 4Department of Neurosurgery, Spine Division, Duke University, Durham, North Carolina
| | - Ilya Laufer
- 5Department of Neurosurgery, New York University Langone Health, New York, New York
| | - Nicolas Dea
- 3Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - John H Shin
- 6Department of Neurosurgery, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Ziya L Gokaslan
- 7Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Laurence D Rhines
- 8Department of Neurosurgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John E O'Toole
- 9Department of Neurosurgery, Rush University, Chicago, Illinois
| | - Daniel M Sciubba
- 10Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York
| | - Michael G Fehlings
- 11Department of Surgery, Division of Neurosurgery and Spine Program, University of Toronto, University Health Network, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Byron F Stephens
- 12Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Chetan Bettegowda
- 13Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sten Myrehaug
- 14Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Alexander C Disch
- 15Department of Orthopaedics, University Hospital Carl Gustav Carus at the TU Dresden, Dresden, Germany
| | - Cordula Netzer
- 16Department of Spine Surgery, University Hospital of Basel, Basel, Switzerland
| | - Naresh Kumar
- 17Department of Orthopedic Surgery, National University Health System, Singapore; and
| | - Arjun Sahgal
- 14Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | | | - Michael H Weber
- 2Department of Surgery, Spine Surgery Program, McGill University, Montréal, Québec, Canada
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Elsamadicy AA, Sandhu MRS, Reeves BC, Freedman IG, Koo AB, Jayaraj C, Hengartner AC, Havlik J, Hersh AM, Pennington Z, Lo SFL, Shin JH, Mendel E, Sciubba DM. Association of inpatient opioid consumption on postoperative outcomes after open posterior spinal fusion for adult spine deformity. Spine Deform 2023; 11:439-453. [PMID: 36350557 DOI: 10.1007/s43390-022-00609-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 10/29/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Opioids are the most commonly used analgesic in the postoperative setting. However, few studies have analyzed the impact of high inpatient opioid use on outcomes following surgery, with no current studies assessing its effect on patients undergoing spinal fusion for an adult spinal deformity (ASD). Thus, the aim of this study was to investigate risk factors for high inpatient opioid use, as well as to determine the impact of high opioid use on outcomes such as adverse events (AEs), hospital length of stay (LOS), cost of hospital admission, discharge disposition, and readmission rates in patients undergoing spinal fusion for ASD. METHODS A retrospective cohort study was performed using the Premier healthcare database from the years 2016 and 2017. All adult patients > 40 years old who underwent thoracic or thoracolumbar fusion for ASD were identified using the ICD-10-CM diagnostic and procedural coding system. Patients were then categorized into three cohorts based on inpatient opioid use: Low MME (morphine milligram equivalents), Medium MME, and High MME. Patient demographics, comorbidities, treating hospital characteristics, intraoperative variables, postoperative AEs, LOS, discharge disposition, and total cost of hospital admission were assessed in the analysis. Multivariate regression analysis was done to determine independent predictors of high inpatient MME, prolonged LOS, and increased hospital cost. RESULTS Of 1673 patients included, 417 (24.9%) were classified as Low MME, 840 (50.2%) as Medium MME, and 416 (24.9%) as High MME. Age significantly decreased with increasing MME (Low: 71.0% 65 + years vs Medium: 62.0% 65 + years vs High: 47.4% 65 + years, p < 0.001), while the proportions of patients presenting with three or more comorbidities were similar across the cohorts (Low: 20.1% with 3 + comorbidities vs Medium: 18.0% with 3 + comorbidities vs High: 24.3% with 3 + comorbidities, p = 0.070). With respect to postoperative outcomes, the proportion of patients who experienced any AE (Low: 60.2% vs Medium: 68.8% vs High: 70.9%, p = 0.002), extended LOS (Low: 6.7% vs Medium: 20.7% vs High: 45.4%, p < 0.001), or non-routine discharge (Low: 66.6% vs Medium: 73.5% vs High: 80.1%, p = 0.003) each increased along with total MME. In addition, rates of 30-day readmission were greatest among the High MME cohort (Low: 8.4% vs Medium: 7.9% vs High: 12.5%, p = 0.022). On multivariate analysis, medium and high MME were associated with prolonged LOS [Medium: OR 4.41, CI (2.90, 6.97); High: OR 13.99, CI (8.99, 22.51), p < 0.001] and increased hospital cost [Medium: OR 1.69, CI (1.21, 2.39), p = 0.002; High: OR 1.66, CI (1.12, 2.46), p = 0.011]. Preadmission long-term opioid use [OR 1.71, CI (1.07, 2.7), p = 0.022], a prior opioid-related disorder [OR 11.32, CI (5.92, 23.49), p < 0.001], and chronic pulmonary disease [OR 1.39, CI (1.06, 1.82), p = 0.018] were each associated with a high inpatient MME on multivariate analysis. CONCLUSION Our study demonstrated that increasing inpatient MME consumption was associated with extended LOS and increased hospital cost in patients undergoing spinal fusion for ASD. Further studies identifying risk factors for increased MME consumption may provide better risk stratification for postoperative opioid use and healthcare resource utilization.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Isaac G Freedman
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Christina Jayaraj
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - John Havlik
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Andrew M Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA.,Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Abunimer AM, Hammoudeh L, Dee EC, Lak AM, Chi J, Lu Y, Groff M, Shin JH, Lam MB, Zaidi HA. Gross total resection of spinal chondrosarcoma is associated with improved locoregional relapse-free survival and overall survival. Eur Spine J 2023; 32:994-1002. [PMID: 36592209 DOI: 10.1007/s00586-022-07505-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 10/05/2022] [Accepted: 12/15/2022] [Indexed: 01/03/2023]
Abstract
BACKGROUND Spinal chondrosarcomas are rare malignant osseous tumors. The low incidence of spinal chondrosarcomas and the complexity of spine anatomy have led to heterogeneous treatment strategies with varying curative and survival rates. The goal of this study is to investigate prognostic factors for locoregional recurrence-free survival (LRFS) and overall survival (OS) comparing en bloc vs. piecemeal resection for the management of spinal chondrosarcoma. METHODS We retrospectively identified patients who underwent curative-intent resection of primary and metastatic spinal chondrosarcoma over a 25-year period. Univariate and multivariate survival analyses were conducted with LRFS as primary endpoint and OS as secondary endpoint. LRFS and OS were modeled using the Kaplan-Meier method and assessed using Cox regression analysis. RESULTS For 72 patients who underwent first resection, the median follow-up time was 5.1 years (95% CI 2.2-7.0). Thirty-three patients (45.8%) had en bloc resection, and 39 (54.2%) had piecemeal resection. Of the 68 patients for whom extent of resection was known, 44 patients had gross total resection (GTR) and 24 patients had subtotal resection. In survival analyses, both LRFS and OS showed statistically significant difference based on the extent of resection (p = 0.001; p = 0.04, respectively). However, only LRFS showed statistically significant difference when assessing the type of resection (p = 0.02). In addition, higher tumor grade and more invasive disease were associated with worse LRFS and OS rates. CONCLUSION Although in our study en bloc and GTR were associated with improved survival, heterogenous and complex spinal presentations may limit total resection. Therefore, the surgical management should be tailored individually to ensure the best local control and maximum preservation of function.
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Affiliation(s)
- Abdullah M Abunimer
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA.,Department of Orthopedic Surgery, Hamad General Hospital, Doha, Qatar
| | - Lubna Hammoudeh
- Department of Radiation Medicine, The Oregon Health & Science University Hospital, 3181 S.W. Sam Jackson Park Road, Portland, OR, 97239, USA
| | - Edward Christopher Dee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Asad M Lak
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA
| | - John Chi
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA
| | - Yi Lu
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA
| | - Michael Groff
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA
| | - John H Shin
- Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Miranda B Lam
- Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Dana Farber Cancer Institute, Boston, USA.
| | - Hasan A Zaidi
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA.
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Elsamadicy AA, Koo AB, Reeves BC, Craft S, Sayeed S, Sherman JJZ, Sarkozy M, Aurich L, Fernandez T, Lo SFL, Shin JH, Sciubba DM, Mendel E. Prevalence and Influence of Frailty on Hospital Outcomes After Surgical Resection of Spinal Meningiomas. World Neurosurg 2023; 173:e121-e131. [PMID: 36773810 DOI: 10.1016/j.wneu.2023.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/12/2023]
Abstract
OBJECTIVE Frailty has been shown to affect patient outcomes after medical and surgical interventions. The Hospital Frailty Risk Score (HFRS) is a growing metric used to assess patient frailty using International Classification of Diseases, Tenth Revision codes. The goal of this study was to investigate the impact of frailty, assessed by HFRS, on health care resource utilization and outcomes in patients undergoing surgery for spinal meningiomas. METHODS A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. Adult patients with benign or malignant spinal meningiomas, identified using International Classification of Diseases, Tenth Revision, Clinical Modification codes, were stratified by HFRS: low frailty (HFRS <5) and intermediate-high frailty (HFRS ≥5). Patient demographics, hospital characteristics, comorbidities, procedural variables, adverse events, length of stay (LOS), discharge disposition, and cost of admission were assessed. Multivariate regression analysis was used to identify predictors of increased LOS, discharge disposition, and cost. RESULTS Of the 3345 patients, 530 (15.8%) had intermediate-high frailty. The intermediate-high cohort was significantly older (P < 0.001). More patients in the intermediate-high cohort had ≥3 comorbidities (P < 0.001). In addition, a greater proportion of patients in the intermediate-high cohort experienced ≥1 perioperative adverse events (P < 0.001). Intermediate-high patients experienced greater mean LOS (P < 0.001) and accrued greater costs (P < 0.001). A greater proportion of intermediate-high patients had nonroutine discharges (P < 0.001). On multivariate analysis, increased HFRS (≥5) was independently associated with extended LOS (adjusted odds ratio [aOR], 3.04; P < 0.001), nonroutine discharge (aOR, 1.98; P = 0.006), and increased costs (aOR, 2.39; P = 0.004). CONCLUSIONS Frailty may be associated with increased health care resource utilization in patients undergoing surgery for spinal meningiomas.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA.
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Margot Sarkozy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Lucas Aurich
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Tiana Fernandez
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sheng-Fu L Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
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Elsamadicy AA, Sandhu MRS, Reeves BC, Jafar T, Craft S, Sherman JJZ, Hersh AM, Koo AB, Kolb L, Lo SFL, Shin JH, Mendel E, Sciubba DM. Impact of Affective Disorders on Inpatient Opioid Consumption and Hospital Outcomes Following Open Posterior Spinal Fusion for Adult Spine Deformity. World Neurosurg 2023; 170:e223-e235. [PMID: 36332777 DOI: 10.1016/j.wneu.2022.10.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Affective disorders (ADs) are common and have a profound impact on surgical recovery, though few have studied the impact of ADs on inpatient narcotic consumption. The aim of this study was to assess the impact of ADs on inpatient narcotic consumption and healthcare resource utilization in patients undergoing spinal fusion for adult spinal deformity. METHODS A retrospective cohort study was performed using the 2016-2017 Premier Healthcare Database. Adults who underwent adult spinal deformity surgery were identified using International Classification of Disease, Tenth Revision, codes. Patients were grouped based on comorbid diagnosis of an AD. Demographics, comorbidities, intraoperative variables, complications, length of stay, admission costs, and nonroutine discharge rates were assessed. Increased inpatient opioid use was categorized by morphine milligram equivalents consumption greater than the 75th percentile. Multivariate regression analysis was used to identify predictors of increased healthcare recourse utilization. RESULTS Of the 1831 study patients, 674 (36.8%) had an AD. A smaller proportion of patients in the AD cohort were 65+ years of age (P = 0.001), while a greater proportion of patients in the AD cohort identified as non-Hispanic White (P < 0.001). A greater proportion of patients in the AD cohort had increased morphine milligram equivalents consumption (P < 0.001). The AD cohort also had a longer mean length of stay (P < 0.001). A greater proportion of patients in the AD cohort had nonroutine discharges (P = 0.039) and unplanned 30-day readmission (P = 0.041). On multivariate analysis, AD was significantly associated with increased cost (odds ratio: 1.61, P < 0.001) and nonroutine discharge (odds ratio: 1.36, P = 0.035). CONCLUSIONS ADs may be associated with increased inpatient opioid consumption and healthcare resource utilization.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA.
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Tamara Jafar
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Andrew M Hersh
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Luis Kolb
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA; Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA
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Elsamadicy AA, Koo AB, Sarkozy M, David WB, Reeves BC, Patel S, Hansen J, Sandhu MRS, Hengartner AC, Hersh A, Kolb L, Lo SFL, Shin JH, Mendel E, Sciubba DM. Leveraging HFRS to assess how frailty affects healthcare resource utilization after elective ACDF for CSM. Spine J 2023; 23:124-135. [PMID: 35988878 DOI: 10.1016/j.spinee.2022.08.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 07/15/2022] [Accepted: 08/04/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND CONTEXT Frailty is a common comorbidity associated with worsening outcomes in various medical and surgical fields. The Hospital Frailty Risk Score (HFRS) is a recently developed tool which assesses frailty using 109 International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) comorbidity codes to assess severity of frailty. However, there is a paucity of studies utilizing the HFRS with patients undergoing anterior cervical discectomy and fusion (ACDF) for cervical spondylotic myelopathy (CSM). PURPOSE The aim of this study was to investigate the impact of HFRS on health care resource utilization following ACDF for CSM. STUDY DESIGN A retrospective cohort study was performed using the Nationwide Inpatient Sample (NIS) database from 2016-2019. PATIENT SAMPLE All adult (≥18 years old) patients undergoing primary, ACDF for CSM were identified using the ICD-10 CM codes. OUTCOME MEASURES Weighted patient demographics, comorbidities, perioperative complications, LOS, discharge disposition, and total admission costs were assessed. METHODS The 109 ICD-10 codes with pre-assigned values from 0.1 to 7.1 pertaining to frailty were queried in each patient, with a cumulative HFRS ≥5 indicating a frail patient. Patients were then categorized as either Low HFRS (HFRS<5) or Moderate to High HFRS (HFRS≥5). A multivariate stepwise logistic regression was used to determine the odds ratio for risk-adjusted extended LOS, non-routine discharge disposition, and increased hospital cost. RESULTS A total of 29,305 patients were identified, of which 3,135 (10.7%) had a Moderate to High HFRS. Patients with a Moderate to High HFRS had higher rates of 1 or more postoperative complications (Low HFRS: 9.5% vs. Moderate-High HFRS: 38.6%, p≤.001), significantly longer hospital stays (Low HFRS: 1.8±1.7 days vs. Moderate-High HFRS: 4.4 ± 6.0, p≤.001), higher rates of non-routine discharge (Low HFRS: 5.8% vs. Moderate-High HFRS: 28.2%, p≤.001), and increased total cost of admission (Low HFRS: $19,691±9,740 vs. Moderate-High HFRS: $26,935±22,824, p≤.001) than patients in the Low HFRS cohort. On multivariate analysis, Moderate to High HFRS was found to be a significant independent predictor for extended LOS [OR: 3.19, 95% CI: (2.60, 3.91), p≤.001] and non-routine discharge disposition [OR: 3.88, 95% CI: (3.05, 4.95), p≤.001] but not increased cost [OR: 1.10, 95% CI: (0.87, 1.40), p=.418]. CONCLUSIONS Our study suggests that patients with a higher HFRS have increased total hospital costs, a longer LOS, higher complication rates, and more frequent nonroutine discharge compared with patients with a low HFRS following elective ACDF for CSM. Although frail patients should not be precluded from surgical management of cervical spine pathology, these findings highlight the need for peri-operative protocols to medically optimize patients to improve health care quality and decrease costs.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Margot Sarkozy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Wyatt B David
- Department of Orthopedics, Yale University School of Medicine, New Haven, CT, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Saarang Patel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Justice Hansen
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Andrew Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
| | - Luis Kolb
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Elsamadicy AA, Reeves BC, Craft S, Sherman JJZ, Koo AB, Sayeed S, Sarkozy M, Kolb L, Lo SFL, Shin JH, Sciubba DM, Mendel E. A current review of spinal meningiomas: epidemiology, clinical presentation and management. J Neurooncol 2023; 161:395-404. [PMID: 36637710 DOI: 10.1007/s11060-023-04238-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/03/2023] [Indexed: 01/14/2023]
Abstract
PURPOSE To provide an up-to-date review of the epidemiology, histopathology, molecular biology, and etiology of spinal meningiomas, as well as discuss the clinical presentation, clinical evaluation, and most recent treatment recommendations for these lesions. METHODS PubMed and Google Scholar search was performed for studies related to meningiomas of the spine. The terms "meningioma," "spinal meningioma," "spine meningioma," "meningioma of the spine," "benign spinal tumors," and "benign spine tumors," were used to identify relevant studies. All studies, including primary data papers, meta-analyses, systematic reviews, general reviews, case reports, and clinical trials were considered for review. RESULTS Eighty-four studies were identified in the review. There were 22 studies discussing adverse postoperative outcomes, 21 studies discussing tumor genetics, 19 studies discussing epidemiology and current literature, 9 studies discussing radiation modalities and impact on subsequent tumor development, 5 studies on characteristic imaging findings, 5 studies discussing hormone use/receptor status on tumor development, 2 discussing operative techniques and 1 discussing tumor identification. CONCLUSION Investigations into spinal meningiomas generally lag behind that of intracranial meningiomas. Recent advancements in the molecular profiling of spinal meningiomas has expanded our understanding of these tumors, increasing our appreciation for their heterogeneity. Continued investigation into the defining characteristics of different spinal meningiomas will aid in treatment planning and prognostication.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Margot Sarkozy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Luis Kolb
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
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Duvall JB, Massaad E, Siraj L, Kiapour A, Connolly I, Hadzipasic M, Elsamadicy AA, Williamson T, Shankar GM, Schoenfeld AJ, Fourman MS, Shin JH. Assessment of Spinal Metastases Surgery Risk Stratification Tools in Breast Cancer by Molecular Subtype. Neurosurgery 2023; 92:83-91. [PMID: 36305664 PMCID: PMC10158884 DOI: 10.1227/neu.0000000000002180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/06/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Breast cancer molecular features and modern therapies are not included in spine metastasis prediction algorithms. OBJECTIVE To examine molecular differences and the impact of postoperative systemic therapy to improve prognosis prediction for spinal metastases surgery and aid surgical decision making. METHODS This is a retrospective multi-institutional study of patients who underwent spine surgery for symptomatic breast cancer spine metastases from 2008 to 2021 at the Massachusetts General Hospital and Brigham and Women's Hospital. We studied overall survival, stratified by breast cancer molecular subtype, and calculated hazard ratios (HRs) adjusting for demographics, tumor characteristics, treatments, and laboratory values. We tested the performance of established models (Tokuhashi, Bauer, Skeletal Oncology Research Group, New England Spinal Metastases Score) to predict and compare all-cause. RESULTS A total of 98 patients surgically treated for breast cancer spine metastases were identified (100% female sex; median age, 56 years [IQR, 36-84 years]). The 1-year probabilities of survival for hormone receptor positive, hormone receptor positive/human epidermal growth factor receptor 2+, human epidermal growth factor receptor 2+, and triple-negative breast cancer were 63% (45 of 71), 83% (10 of 12), 0% (0 of 3), and 12% (1 of 8), respectively ( P < .001). Patients with triple-negative breast cancer had a higher proportion of visceral metastases, brain metastases, and poor physical activity at baseline. Postoperative chemotherapy and endocrine therapy were associated with prolonged survival. The Skeletal Oncology Research Group prognostic model had the highest discrimination (area under the receiver operating characteristic, 0.77 [95% CI, 0.73-0.81]). The performance of all prognostic scores improved when preoperative molecular data and postoperative systemic treatment plans was considered. CONCLUSION Spine metastases risk tools were able to predict prognosis at a significantly higher degree after accounting for molecular features which guide treatment response.
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Affiliation(s)
- Julia B. Duvall
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Elie Massaad
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Layla Siraj
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, Massachusetts, USA
| | - Ali Kiapour
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ian Connolly
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Muhamed Hadzipasic
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Aladine A. Elsamadicy
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, Massachusetts, USA
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ganesh M. Shankar
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew J. Schoenfeld
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Mitchell S. Fourman
- Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - John H. Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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