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Baker NC, Bowden VA, DiGiorgio AM, Darbin OE, Menger RP. Barriers to overlapping complex and general spine surgery at a tertiary academic hospital. J Neurosurg Spine 2024:1-6. [PMID: 38669714 DOI: 10.3171/2024.2.spine23771] [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: 08/07/2023] [Accepted: 02/05/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVE Policy concern and debate surround the concept of overlapping spine surgery. Overlapping surgery specifically refers to nonessential portions of the case or noncutting time overlap. This differs from concurrent surgery, in which critical portions of the procedure overlap. Here the authors explore the barriers for safe and efficient overlapping surgery in academic spinal deformity practice. METHODS Over a 24-month period, cases of spinal deformity, degenerative cases, anterior cervical discectomy and fusions (ACDFs), and laminectomy were reviewed for duration in operating room (OR) prior to surgery, duration of cutting time, duration in OR after surgery, turnover duration, and time delay from initial start time. Standard degenerative cases were referenced as 1-2 ACDFs as well as 1- to 2-level laminectomy surgery. The blocks of time between two consecutive cutting periods were investigated to determine the feasibility of overlapping an additional surgery. Specifically, the authors compared the blocks of time that include the postsurgery period, the turnover period, and the presurgery period to cutting periods. RESULTS One hundred twenty-six complex spinal deformity procedures and 85 degenerative cases (including 49 ACDFs and 36 laminectomies) from one center and one neurosurgeon were reviewed. These procedures were performed between September 2019 and December 2021 with a 3-month gap in military deployment. On average, the procedure's duration for cases of deformity was 236.5 minutes, for cases of ACDFs it was 84 minutes, and for cases of laminectomies it was 105.5 minutes. The block of noncutting time while the patient was in the OR showed no difference from the surgical cut time. The turnover time between cases was 52.35 minutes. Of 100 cases scheduled as the first case of the day, 94 had a delay to the OR averaging 18.2 minutes. CONCLUSIONS The data in this study indicate that estimates for pre- and postsurgical times alone are not sufficient to allow for overlapping surgery. The average cut-time duration of ACDF was 84 minutes; the average presurgical time for deformity was 68 minutes. This highlights the critical analysis for further examination of optimal scheduling, on-time first start, turnover periods, and the orchestration of all members of the providing team to optimize the cutting time for safe and consistent implementation of overlapping spine surgery.
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Affiliation(s)
- Noah C Baker
- 1University of South Alabama Frederick P. Whiddon College of Medicine, Mobile, Alabama
| | | | - Anthony M DiGiorgio
- 3Department of Neurosurgery, University of California, San Francisco, California
| | | | - Richard P Menger
- 4Neurosurgery, and
- 5Political Science, University of South Alabama, Mobile, Alabama; and
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2
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Pan JZ, Wang Z, Sun W, Pan P, Li W, Sun Y, Chen S, Lin A, Tan W, He L, Greene J, Yao V, An L, Liang R, Li Q, Yu J, Zhang L, Kyritsis N, Fernandez XD, Moncivais S, Mendoza E, Fung P, Wang G, Niu X, Du Q, Xiao Z, Chang Y, Lv P, Huie JR, Torres‐Espin A, Ferguson AR, Hemmerle DD, Talbott JF, Weinstein PR, Pascual LU, Singh V, DiGiorgio AM, Saigal R, Whetstone WD, Manley GT, Dhall SS, Bresnahan JC, Maze M, Jiang X, Singhal NS, Beattie MS, Su H, Guan Z. ATF3 is a neuron-specific biomarker for spinal cord injury and ischaemic stroke. Clin Transl Med 2024; 14:e1650. [PMID: 38649772 PMCID: PMC11035380 DOI: 10.1002/ctm2.1650] [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: 10/12/2023] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Although many molecules have been investigated as biomarkers for spinal cord injury (SCI) or ischemic stroke, none of them are specifically induced in central nervous system (CNS) neurons following injuries with low baseline expression. However, neuronal injury constitutes a major pathology associated with SCI or stroke and strongly correlates with neurological outcomes. Biomarkers characterized by low baseline expression and specific induction in neurons post-injury are likely to better correlate with injury severity and recovery, demonstrating higher sensitivity and specificity for CNS injuries compared to non-neuronal markers or pan-neuronal markers with constitutive expressions. METHODS In animal studies, young adult wildtype and global Atf3 knockout mice underwent unilateral cervical 5 (C5) SCI or permanent distal middle cerebral artery occlusion (pMCAO). Gene expression was assessed using RNA-sequencing and qRT-PCR, while protein expression was detected through immunostaining. Serum ATF3 levels in animal models and clinical human samples were measured using commercially available enzyme-linked immune-sorbent assay (ELISA) kits. RESULTS Activating transcription factor 3 (ATF3), a molecular marker for injured dorsal root ganglion sensory neurons in the peripheral nervous system, was not expressed in spinal cord or cortex of naïve mice but was induced specifically in neurons of the spinal cord or cortex within 1 day after SCI or ischemic stroke, respectively. Additionally, ATF3 protein levels in mouse blood significantly increased 1 day after SCI or ischemic stroke. Importantly, ATF3 protein levels in human serum were elevated in clinical patients within 24 hours after SCI or ischemic stroke. Moreover, Atf3 knockout mice, compared to the wildtype mice, exhibited worse neurological outcomes and larger damage regions after SCI or ischemic stroke, indicating that ATF3 has a neuroprotective function. CONCLUSIONS ATF3 is an easily measurable, neuron-specific biomarker for clinical SCI and ischemic stroke, with neuroprotective properties. HIGHLIGHTS ATF3 was induced specifically in neurons of the spinal cord or cortex within 1 day after SCI or ischemic stroke, respectively. Serum ATF3 protein levels are elevated in clinical patients within 24 hours after SCI or ischemic stroke. ATF3 exhibits neuroprotective properties, as evidenced by the worse neurological outcomes and larger damage regions observed in Atf3 knockout mice compared to wildtype mice following SCI or ischemic stroke.
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Affiliation(s)
- Jonathan Z. Pan
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Zhanqiang Wang
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Cerebrovascular ResearchUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyCangzhou People's HospitalCangzhouChina
| | - Wei Sun
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyShandong Provincial Hospital, Shandong UniversityJinanChina
| | - Peipei Pan
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Cerebrovascular ResearchUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Wei Li
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyShandong Provincial Hospital, Shandong UniversityJinanChina
| | - Yongtao Sun
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyQianfoshan Hospital, Shandong UniversityJinanChina
| | - Shoulin Chen
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyThe Second Affiliated Hospital, Nanchang UniversityNanchangChina
| | - Amity Lin
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Wulin Tan
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyGuangzhou Medical UniversityGuangzhouChina
| | - Liangliang He
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Pain ManagementXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Jacob Greene
- Medical SchoolUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Virginia Yao
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lijun An
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyNo. 1 People's HospitalHuaianChina
| | - Rich Liang
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Cerebrovascular ResearchUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Qifeng Li
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Cerebrovascular ResearchUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurosurgeryTianjin Medical University General HospitalTianjinChina
| | - Jessica Yu
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lingyi Zhang
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Nikolaos Kyritsis
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Xuan Duong Fernandez
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Sara Moncivais
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Esmeralda Mendoza
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Pamela Fung
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gongming Wang
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyShandong Provincial Hospital, Shandong UniversityJinanChina
| | - Xinhuan Niu
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyShandong Provincial Hospital, Shandong UniversityJinanChina
| | - Qihang Du
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyShandong Provincial Hospital, Shandong UniversityJinanChina
| | - Zhaoyang Xiao
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of AnesthesiologyThe Second Affiliated Hospital, Dalian Medical UniversityDalianChina
| | - Yuwen Chang
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Peiyuan Lv
- Department of AnesthesiologyThe Second Affiliated Hospital, Dalian Medical UniversityDalianChina
- Department of NeurologyHebei Medical UniversityShijiazhuangChina
| | - J. Russell Huie
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Abel Torres‐Espin
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Adam R. Ferguson
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Debra D. Hemmerle
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Jason F. Talbott
- Department of RadiologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Philip R. Weinstein
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lisa U. Pascual
- Department of Orthopedic SurgeryOrthopaedic Trauma InstituteUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Vineeta Singh
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Anthony M. DiGiorgio
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rajiv Saigal
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - William D. Whetstone
- Department of Emergency MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Geoffrey T. Manley
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Sanjay S. Dhall
- Department of NeurosurgeryHarbor UCLA Medical CenterTorranceCaliforniaUSA
| | - Jacqueline C. Bresnahan
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Mervyn Maze
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Cerebrovascular ResearchUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Xiangning Jiang
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Neel S. Singhal
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael S. Beattie
- Department of Neurological SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Brain and Spinal Injury CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Hua Su
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Cerebrovascular ResearchUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Zhonghui Guan
- Department of Anesthesia and Perioperative CareUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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3
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Yue JK, Lee YM, Sun X, van Essen TA, Elguindy MM, Belton PJ, Pisică D, Mikolic A, Deng H, Kanter JH, McCrea MA, Bodien YG, Satris GG, Wong JC, Ambati VS, Grandhi R, Puccio AM, Mukherjee P, Valadka AB, Tarapore PE, Huang MC, DiGiorgio AM, Markowitz AJ, Yuh EL, Okonkwo DO, Steyerberg EW, Lingsma HF, Menon DK, Maas AIR, Jain S, Manley GT. Performance of the IMPACT and CRASH prognostic models for traumatic brain injury in a contemporary multicenter cohort: a TRACK-TBI study. J Neurosurg 2024:1-13. [PMID: 38489823 PMCID: PMC11010725 DOI: 10.3171/2023.11.jns231425] [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: 07/01/2023] [Accepted: 11/16/2023] [Indexed: 03/17/2024]
Abstract
OBJECTIVE The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticosteroid Randomization After Significant Head Injury (CRASH) prognostic models for mortality and outcome after traumatic brain injury (TBI) were developed using data from 1984 to 2004. This study examined IMPACT and CRASH model performances in a contemporary cohort of US patients. METHODS The prospective 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study (enrollment years 2014-2018) enrolled subjects aged ≥ 17 years who presented to level I trauma centers and received head CT within 24 hours of TBI. Data were extracted from the subjects who met the model criteria (for IMPACT, Glasgow Coma Scale [GCS] score 3-12 with 6-month Glasgow Outcome Scale-Extended [GOSE] data [n = 441]; for CRASH, GCS score 3-14 with 2-week mortality data and 6-month GOSE data [n = 831]). Analyses were conducted in the overall cohort and stratified on the basis of TBI severity (severe/moderate/mild TBI defined as GCS score 3-8/9-12/13-14), age (17-64 years or ≥ 65 years), and the 5 top enrolling sites. Unfavorable outcome was defined as GOSE score 1-4. Original IMPACT and CRASH model coefficients were applied, and model performances were assessed by calibration (intercept [< 0 indicated overprediction; > 0 indicated underprediction] and slope) and discrimination (c-statistic). RESULTS Overall, the IMPACT models overpredicted mortality (intercept -0.79 [95% CI -1.05 to -0.53], slope 1.37 [1.05-1.69]) and acceptably predicted unfavorable outcome (intercept 0.07 [-0.14 to 0.29], slope 1.19 [0.96-1.42]), with good discrimination (c-statistics 0.84 and 0.83, respectively). The CRASH models overpredicted mortality (intercept -1.06 [-1.36 to -0.75], slope 0.96 [0.79-1.14]) and unfavorable outcome (intercept -0.60 [-0.78 to -0.41], slope 1.20 [1.03-1.37]), with good discrimination (c-statistics 0.92 and 0.88, respectively). IMPACT overpredicted mortality and acceptably predicted unfavorable outcome in the severe and moderate TBI subgroups, with good discrimination (c-statistic ≥ 0.81). CRASH overpredicted mortality in the severe and moderate TBI subgroups and acceptably predicted mortality in the mild TBI subgroup, with good discrimination (c-statistic ≥ 0.86); unfavorable outcome was overpredicted in the severe and mild TBI subgroups with adequate discrimination (c-statistic ≥ 0.78), whereas calibration was nonlinear in the moderate TBI subgroup. In subjects ≥ 65 years of age, the models performed variably (IMPACT-mortality, intercept 0.28, slope 0.68, and c-statistic 0.68; CRASH-unfavorable outcome, intercept -0.97, slope 1.32, and c-statistic 0.88; nonlinear calibration for IMPACT-unfavorable outcome and CRASH-mortality). Model performance differences were observed across the top enrolling sites for mortality and unfavorable outcome. CONCLUSIONS The IMPACT and CRASH models adequately discriminated mortality and unfavorable outcome. Observed overestimations of mortality and unfavorable outcome underscore the need to update prognostic models to incorporate contemporary changes in TBI management and case-mix. Investigations to elucidate the relationships between increased survival, outcome, treatment intensity, and site-specific practices will be relevant to improve models in specific TBI subpopulations (e.g., older adults), which may benefit from the inclusion of blood-based biomarkers, neuroimaging features, and treatment data.
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Affiliation(s)
- John K Yue
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Young M Lee
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Xiaoying Sun
- 3Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, California
| | - Thomas A van Essen
- 4University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center, Leiden, The Hague, The Netherlands
| | - Mahmoud M Elguindy
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Patrick J Belton
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Dana Pisică
- 5Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ana Mikolic
- 5Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
- 6Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hansen Deng
- 7Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - John H Kanter
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Michael A McCrea
- 8Department of Neurological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Yelena G Bodien
- 9Department of Neurological Surgery, University of Utah Health Center, Salt Lake City, Utah
- 10Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Gabriela G Satris
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Justin C Wong
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Vardhaan S Ambati
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Ramesh Grandhi
- 11Department of Rehabilitation Medicine, Spaulding Rehabilitation Hospital, Boston, Massachusetts
| | - Ava M Puccio
- 7Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Pratik Mukherjee
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- 12Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Alex B Valadka
- 13Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Phiroz E Tarapore
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Michael C Huang
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Anthony M DiGiorgio
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- 14Institute of Health Policy Studies, University of California, San Francisco, California
| | - Amy J Markowitz
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Esther L Yuh
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
- 12Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - David O Okonkwo
- 7Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ewout W Steyerberg
- 15Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Hester F Lingsma
- 5Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - David K Menon
- 16Division of Anesthesia, Department of Medicine, University of Cambridge, United Kingdom; and
| | - Andrew I R Maas
- 17Department of Neurological Surgery, Antwerp University Hospital and University of Antwerp, Belgium
| | - Sonia Jain
- 3Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, California
| | - Geoffrey T Manley
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
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4
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Yue JK, Ramesh R, Krishnan N, Chyall L, Halabi C, Huang MC, Manley GT, Tarapore PE, DiGiorgio AM. Medicaid Insurance is a Predictor of Prolonged Hospital Length of Stay After Traumatic Brain Injury: A Stratified National Trauma Data Bank Cohort Analysis of 552 949 Patients. Neurosurgery 2024:00006123-990000000-01040. [PMID: 38305406 DOI: 10.1227/neu.0000000000002855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/17/2023] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Hospital length of stay (HLOS) is a metric of injury severity, resource utilization, and healthcare access. Recent evidence has shown an association between Medicaid insurance and increased HLOS after traumatic brain injury (TBI). This study aims to validate the association between Medicaid and prolonged HLOS after TBI using the National Trauma Data Bank. METHODS National Trauma Data Bank Trauma Quality Programs Participant Use Files (2003-2021) were queried for adult patients with TBI using traumatic intracranial injury ICD-9/ICD-10 codes. Patients with complete HLOS, age, sex, race, insurance payor, Glasgow Coma Scale, Injury Severity Score, and discharge disposition data were included (N = 552 949). Analyses were stratified by TBI severity using Glasgow Coma Scale. HLOS was coded into Tiers according to percentiles within TBI severity categories (Tier 1: 1-74th; 2: 75-84th; 3: 85-94th; 4: 95-99th). Multivariable logistic regressions evaluated associations between insurance payor and prolonged (Tier 4) HLOS, controlling for sociodemographic, Injury Severity Score, cranial surgery, and discharge disposition variables. Adjusted odds ratios (aOR) and 95% CI were reported. RESULTS HLOS Tiers consisted of 0-19, 20-27, 28-46, and ≥47 days (Tiers 1-4, respectively) in severe TBI (N = 103 081); 0-15, 16-21, 22-37, and ≥38 days in moderate TBI (N = 39 904); and 0-7, 8-10, 11-19, and ≥20 days in mild TBI (N = 409 964). Proportion of Medicaid patients increased with Tier ([Tier 1 vs Tier 4] severe: 16.0% vs 36.1%; moderate: 14.1% vs 31.6%; mild TBI: 10.2% vs 17.4%; all P < .001). On multivariable analyses, Medicaid was associated with prolonged HLOS (severe TBI: aOR = 2.35 [2.19-2.52]; moderate TBI: aOR = 2.30 [2.04-2.61]; mild TBI: aOR = 1.75 [1.67-1.83]; reference category: private/commercial). CONCLUSION This study supports Medicaid as an independent predictor of prolonged HLOS across TBI severity strata. Reasons may include different efficacies in care delivery and reimbursement, which require further investigation. Our findings support the development of discharge coordination pathways and policies for Medicaid patients with TBI.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Rithvik Ramesh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Nishanth Krishnan
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Lawrence Chyall
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Cathra Halabi
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
| | - Michael C Huang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
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5
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Chryssikos T, Tawil ME, Ambati VS, Macki M, DiGiorgio AM, Mummaneni PV, Tan L. Real-Time Intraoperative Ultrasound Using a Minimally Invasive Transducer During Anterior Cervical Spine Surgery. Oper Neurosurg (Hagerstown) 2024:01787389-990000000-01034. [PMID: 38295396 DOI: 10.1227/ons.0000000000001065] [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: 09/22/2023] [Accepted: 12/01/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Intraoperative ultrasound (IOUS) during anterior cervical surgery is hindered by large transducer size and small operative corridor. We hypothesized that a linear (minimally invasive) transducer designed for transsphenoidal surgery can visualize the spinal cord, nerve roots, and surrounding structures during anterior cervical approaches, facilitating intraoperative assessment of central and foraminal decompression. METHODS IOUS was used to evaluate 26 levels in 17 patients (15 anterior cervical discectomy and fusion, 1 corpectomy, 1 arthroplasty) with a linear probe (7 × 6-mm end-fire transducer, 150-mm length, 12-15 MHz). After pin-based distraction, discectomy, and posterior longitudinal ligament resection, IOUS assessed adequacy of cord decompression and, following proximal foraminotomy or uncinectomy, nerve root decompression. If indicated, additional decompression was completed. Criteria for adequate central and foraminal decompression were visualization of subarachnoid space around the cord and cerebrospinal fluid pulsatility along the root sleeve/absence of nerve root compression distal to the root sleeve, respectively. RESULTS IOUS successfully visualized the cord, nerve roots, and surrounding structures in all 26 levels and influenced management in 11 levels (42.3%). IOUS indicated persistent cord and nerve root compression in 2 and 7 levels, respectively. Planned uncinectomy was aborted in 2 levels after IOUS demonstrated adequate nerve root decompression with intervertebral distraction/proximal foraminotomy alone. IOUS identified persistent nerve root compression after initial proximal foraminotomy in 4 levels and uncinectomy in 2 levels. An unplanned uncinectomy was performed in 1 level after IOUS showed persistent nerve root compression after multiple iterations of proximal foraminotomy. At follow-up (mean 3.1 months), the mean improvement in Numeric Rating Scale neck and arm pain, Neck Disability Index, and modified Japanese Orthopedic Association was 4.0%, 3.2%, 3.7%, and 0.7%, respectively. CONCLUSION The neural elements and their relationships to surrounding bone/soft tissue can be visualized using a minimally invasive IOUS transducer during anterior cervical surgery without having to remove pin-based distraction. This allows surgeons to intraoperatively verify the extent of central and foraminal decompression.
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Affiliation(s)
- Timothy Chryssikos
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Michael E Tawil
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Vardhaan S Ambati
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Mohamed Macki
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Lee Tan
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
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Ng GY, DiGiorgio AM. Performance of Neurosurgeons Providing Safety-Net Care Under Medicare's Merit-Based Incentive Payment System. Neurosurgery 2024:00006123-990000000-01014. [PMID: 38197638 DOI: 10.1227/neu.0000000000002824] [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: 07/01/2023] [Accepted: 11/28/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Under the Merit-Based Incentive Payment System (MIPS), Medicare evaluates provider performance to determine payment adjustments. Studies examining the first year of MIPS (2017) showed that safety-net providers had lower MIPS scores, but the performance of safety-net physicians over time has not been studied. This study aimed to examine the performance of safety-net vs non-safety-net neurosurgeons in MIPS from 2017 to 2020. METHODS Safety-net neurosurgeons were defined as being in the top quartile according to proportion of dual-eligible beneficiaries and non-safety-net in the bottom quartile. Outcomes were total MIPS scores and dual-eligible proportion over time. In this descriptive study, we evaluated ordinary least squares regression models with SEs clustered at the physician level. Covariates of interest included safety-net status, year, and average Hierarchical Condition Category risk score of beneficiaries. RESULTS There were 2796-3322 physicians included each year between 2017 and 2020. Mean total MIPS scores were not significantly different for safety-net than non-safety-net physicians in 2017 but were greater for safety-net in 2018 (90.7 vs 84.5, P < .01), 2019 (86.4 vs 81.5, P < .01), and 2020 (90.9 vs 86.7, P < .01). Safety-net status (coefficient -9.11; 95% CI [-13.15, -5.07]; P < .01) and participation in MIPS as an individual (-9.89; [-12.66, -7.13]; P < .01) were associated with lower scores while year, the interaction between safety-net status and year, and participation in MIPS as a physician group or alternative payment model were associated with higher scores. Average Hierarchical Condition Category risk score of beneficiaries (-.011; [-.015, -.006]; P < .01) was associated with decreasing dual-eligible case mix, whereas average age of beneficiaries (.002; [.002, .003]; P < .01) was associated with increasing dual-eligible case mix. CONCLUSION Being a safety-net physician was associated with lower MIPS scores, but safety-net neurosurgeons demonstrated greater improvement in MIPS scores than non-safety-net neurosurgeons over time. Providers with higher-risk patients were more likely to decrease their dual-eligible case mix over time.
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Affiliation(s)
- Grace Y Ng
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, California, USA
- Mercatus Center at George Mason University, Washington, District of Columbia, USA
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7
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Lui A, Park C, Chryssikos T, Radabaugh H, Patel A, Aabedi AA, Ferguson AR, Torres Espin A, Mummaneni PV, Dhall SS, Duong-Fernandez X, Saigal R, Chou A, Pan J, Singh V, Hemmerle DD, Kyritsis N, Talbott JF, Pascual LU, Huie JR, Whetstone WD, Bresnahan JC, Beattie MS, Weinstein PR, Manley GT, DiGiorgio AM. Safety and comparative efficacy of initiating low-molecular-weight heparin within 24 hours of injury or surgery for venous thromboembolism prophylaxis in patients with spinal cord injury: a prospective TRACK-SCI registry study. Neurosurg Focus 2023; 55:E17. [PMID: 37778033 DOI: 10.3171/2023.7.focus23362] [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: 06/01/2023] [Accepted: 07/26/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE Venous thromboembolism (VTE) following traumatic spinal cord injury (SCI) is a significant clinical concern. This study sought to determine the incidence of VTE and hemorrhagic complications among patients with SCI who received low-molecular-weight heparin (LMWH) within 24 hours of injury or surgery and identify variables that predict VTE using the prospective Transforming Research and Clinical Knowledge in SCI (TRACK-SCI) database. METHODS The TRACK-SCI database was queried for individuals with traumatic SCI from 2015 to 2022. Primary outcomes of interest included rates of VTE (including deep vein thrombosis [DVT] and pulmonary embolism [PE]) and in-hospital hemorrhagic complications that occurred after LWMH administration. Secondary outcomes included intensive care unit and hospital length of stay, discharge location type, and in-hospital mortality. RESULTS The study cohort consisted of 162 patients with SCI. Fifteen of the 162 patients withdrew from the study, leading to loss of data for certain variables for these patients. One hundred thirty patients (87.8%) underwent decompression and/or fusion surgery for SCI. DVT occurred in 11 (7.4%) of 148 patients, PE in 9 (6.1%) of 148, and any VTE in 18 (12.2%) of 148 patients. The analysis showed that admission lower-extremity motor score (p = 0.0408), injury at the thoracic level (p = 0.0086), admission American Spinal Injury Association grade (p = 0.0070), and younger age (p = 0.0372) were significantly associated with VTE. There were 3 instances of postoperative spine surgery-related bleeding (2.4%) in the 127 patients who had spine surgery with bleeding complication data available, with one requiring return to surgery (0.8%). Thirteen (8.8%) of 147 patients had a bleeding complication not related to spine surgery. There were 2 gastrointestinal bleeds associated with nasogastric tube placement, 3 cases of postoperative non-spine-related surgery bleeding, and 8 cases of other bleeding complications (5.4%) not related to any surgery. CONCLUSIONS Initiation of LMWH within 24 hours was associated with a low rate of spine surgery-related bleeding. Bleeding complications unrelated to SCI surgery still occur with LMWH administration. Because neurosurgical intervention is typically the limiting factor in initializing chemical DVT prophylaxis, many of these bleeding complications would have likely occurred regardless of the protocol.
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Affiliation(s)
- Austin Lui
- 1College of Osteopathic Medicine, Touro University California, Vallejo
| | | | | | | | | | | | - Adam R Ferguson
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 5San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Abel Torres Espin
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Praveen V Mummaneni
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Sanjay S Dhall
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Xuan Duong-Fernandez
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Rajiv Saigal
- 6Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Austin Chou
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Jonathan Pan
- Departments of2Neurological Surgery
- 7Anesthesia and Perioperative Care
| | | | - Debra D Hemmerle
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Nikos Kyritsis
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Jason F Talbott
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 9Radiology and Biomedical Imaging, and
| | - Lisa U Pascual
- 10Department of Orthopedic Surgery, Orthopaedic Trauma Institute, University of California, San Francisco
| | - J Russell Huie
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | | | - Jacqueline C Bresnahan
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Michael S Beattie
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 5San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Philip R Weinstein
- Departments of2Neurological Surgery
- 8Neurology
- 12Weill Institute for Neurosciences, Institute for Neurodegenerative Diseases, Spine Center, University of California, San Francisco; and
| | - Geoffrey T Manley
- Departments of2Neurological Surgery
- 13Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California
| | - Anthony M DiGiorgio
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 13Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California
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8
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CreveCoeur TS, Sperring CP, DiGiorgio AM, Chou D, Chan AK. Antepsoas Approaches to the Lumbar Spine. Neurosurg Clin N Am 2023; 34:619-632. [PMID: 37718108 DOI: 10.1016/j.nec.2023.06.009] [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] [Indexed: 09/19/2023]
Abstract
Lumbar interbody fusion (LIF) is a well-established approach in treating spinal deformity and degenerative conditions of the spine. Since its inception in the 20th century, LIF has continued to evolve, allowing for minimally invasive approaches, high fusion rates, and improving disability scores with favorable complication rates. The anterior to the psoas (ATP) approach utilizes a retroperitoneal pathway medial to the psoas muscle to access the L1-S1intervertebral disc spaces. In contrast to the transpsoas arppoach, its primary advantage is avoiding transgressing the psoas muscle and the contained lumbar plexus, which potentially decreases the risk of injury to the lumbar plexus. Avoiding transgression of the psoas may minimize the risk of transient or permanent neurological deficits secondary to lumbar plexus injury. Indications for ATP approaches may expand as it is shown to be a safe and effective method of achieving spinal arthrodesis.
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Affiliation(s)
- Travis S CreveCoeur
- Department of Neurological Surgery, Neurological Institute of New York, Columbia University College of Physicians and Surgeons, 710 West 168th Street, New York, NY 10033, USA
| | - Colin P Sperring
- Department of Neurological Surgery, Neurological Institute of New York, Columbia University College of Physicians and Surgeons, 710 West 168th Street, New York, NY 10033, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Dean Chou
- Department of Neurological Surgery, Neurological Institute of New York, Columbia University College of Physicians and Surgeons, 5141 Broadway, New York, NY 10034, USA
| | - Andrew K Chan
- Department of Neurological Surgery, Neurological Institute of New York, Columbia University College of Physicians and Surgeons, 5141 Broadway, 3FW, Room 20, New York, NY 10034, USA.
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Abstract
This Viewpoint explores a critical source of administrative burden and physician frustration—the explosive growth of health care quality metrics—and how improving these metrics could combat clinician burnout.
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Affiliation(s)
- Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
| | - Jesse M Ehrenfeld
- Department of Anesthesiology, Medical College of Wisconsin, Milwaukee
- Advancing a Healthier Wisconsin Endowment, Milwaukee
| | - Brian J Miller
- Division of Hospital Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland
- American Enterprise Institute, Washington, DC
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10
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Etemad LL, Yue JK, Barber J, Nelson LD, Bodien YG, Satris GG, Belton PJ, Madhok DY, Huie JR, Hamidi S, Tracey JX, Coskun BC, Wong JC, Yuh EL, Mukherjee P, Markowitz AJ, Huang MC, Tarapore PE, Robertson CS, Diaz-Arrastia R, Stein MB, Ferguson AR, Puccio AM, Okonkwo DO, Giacino JT, McCrea MA, Manley GT, Temkin NR, DiGiorgio AM. Longitudinal Recovery Following Repetitive Traumatic Brain Injury. JAMA Netw Open 2023; 6:e2335804. [PMID: 37751204 PMCID: PMC10523170 DOI: 10.1001/jamanetworkopen.2023.35804] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/21/2023] [Indexed: 09/27/2023] Open
Abstract
Importance One traumatic brain injury (TBI) increases the risk of subsequent TBIs. Research on longitudinal outcomes of civilian repetitive TBIs is limited. Objective To investigate associations between sustaining 1 or more TBIs (ie, postindex TBIs) after study enrollment (ie, index TBIs) and multidimensional outcomes at 1 year and 3 to 7 years. Design, Setting, and Participants This cohort study included participants presenting to emergency departments enrolled within 24 hours of TBI in the prospective, 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study (enrollment years, February 2014 to July 2020). Participants who completed outcome assessments at 1 year and 3 to 7 years were included. Data were analyzed from September 2022 to August 2023. Exposures Postindex TBI(s). Main Outcomes and Measures Demographic and clinical factors, prior TBI (ie, preindex TBI), and functional (Glasgow Outcome Scale-Extended [GOSE]), postconcussive (Rivermead Post-Concussion Symptoms Questionnaire [RPQ]), psychological distress (Brief Symptom Inventory-18 [BSI-18]), depressive (Patient Health Questionnaire-9 [PHQ-9]), posttraumatic stress disorder (PTSD; PTSD Checklist for DSM-5 [PCL-5]), and health-related quality-of-life (Quality of Life After Brain Injury-Overall Scale [QOLIBRI-OS]) outcomes were assessed. Adjusted mean differences (aMDs) and adjusted relative risks are reported with 95% CIs. Results Of 2417 TRACK-TBI participants, 1572 completed the outcomes assessment at 1 year (1049 [66.7%] male; mean [SD] age, 41.6 [17.5] years) and 1084 completed the outcomes assessment at 3 to 7 years (714 [65.9%] male; mean [SD] age, 40.6 [17.0] years). At 1 year, a total of 60 participants (4%) were Asian, 255 (16%) were Black, 1213 (77%) were White, 39 (2%) were another race, and 5 (0.3%) had unknown race. At 3 to 7 years, 39 (4%) were Asian, 149 (14%) were Black, 868 (80%) were White, 26 (2%) had another race, and 2 (0.2%) had unknown race. A total of 50 (3.2%) and 132 (12.2%) reported 1 or more postindex TBIs at 1 year and 3 to 7 years, respectively. Risk factors for postindex TBI were psychiatric history, preindex TBI, and extracranial injury severity. At 1 year, compared with those without postindex TBI, participants with postindex TBI had worse functional recovery (GOSE score of 8: adjusted relative risk, 0.57; 95% CI, 0.34-0.96) and health-related quality of life (QOLIBRI-OS: aMD, -15.9; 95% CI, -22.6 to -9.1), and greater postconcussive symptoms (RPQ: aMD, 8.1; 95% CI, 4.2-11.9), psychological distress symptoms (BSI-18: aMD, 5.3; 95% CI, 2.1-8.6), depression symptoms (PHQ-9: aMD, 3.0; 95% CI, 1.5-4.4), and PTSD symptoms (PCL-5: aMD, 7.8; 95% CI, 3.2-12.4). At 3 to 7 years, these associations remained statistically significant. Multiple (2 or more) postindex TBIs were associated with poorer outcomes across all domains. Conclusions and Relevance In this cohort study of patients with acute TBI, postindex TBI was associated with worse symptomatology across outcome domains at 1 year and 3 to 7 years postinjury, and there was a dose-dependent response with multiple postindex TBIs. These results underscore the critical need to provide TBI prevention, education, counseling, and follow-up care to at-risk patients.
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Affiliation(s)
- Leila L. Etemad
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - John K. Yue
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Jason Barber
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Yelena G. Bodien
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Gabriela G. Satris
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Patrick J. Belton
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Debbie Y. Madhok
- Department of Emergency Medicine, University of California, San Francisco
| | - J. Russell Huie
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Sabah Hamidi
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Joye X. Tracey
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Bukre C. Coskun
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Justin C. Wong
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Michael C. Huang
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Phiroz E. Tarapore
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | | | | | - Murray B. Stein
- Department of Psychiatry, University of California, San Diego
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Joseph T. Giacino
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Nancy R. Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Institute of Health Policy Studies, University of California, San Francisco
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11
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Yue JK, Krishnan N, Chyall L, Vega P, Hamidi S, Etemad LL, Tracey JX, Tarapore PE, Huang MC, Manley GT, DiGiorgio AM. Socioeconomic and clinical factors associated with prolonged hospital length of stay after traumatic brain injury. Injury 2023; 54:110815. [PMID: 37268533 DOI: 10.1016/j.injury.2023.05.046] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/21/2023] [Accepted: 05/10/2023] [Indexed: 06/04/2023]
Abstract
BACKGROUND Hospital length of stay (HLOS) after traumatic brain injury (TBI) is a metric of injury severity, resource utilization, and access to services. This study aimed to evaluate socioeconomic and clinical factors associated with prolonged HLOS after TBI. METHODS Retrospective data from adult hospitalized patients diagnosed with acute TBI at a US Level 1 trauma center between August 1, 2019 - April 1, 2022 were extracted from the electronic health record. HLOS was stratified by Tier (1: 1-74th percentile; 2: 75-84th; 3: 85-94th; 4: 95-99th). Demographic, socioeconomic, injury severity, and level-of-care factors were compared by HLOS. Multivariable logistic regressions evaluated associations between socioeconomic and clinical variables and prolonged HLOS, using multivariable odds ratios (mOR) and [95% confidence intervals]. Estimated daily charges were calculated for a subset of medically-stable inpatients awaiting placement. Statistical significance was assessed at p < 0.05. RESULTS In 1443 patients, median HLOS was 4 days (interquartile range 2-8; range 0-145). HLOS Tiers were 0-7, 8-13, 14-27, and ≥28 days (Tiers 1-4, respectively). Patients with Tier 4 HLOS differed significantly from others, with increased Medicaid insurance (53.4% vs. 30.3-33.1%, p = 0.003), severe TBI (Glasgow Coma Scale 3-8: 38.4% vs. 8.7-18.2%, p < 0.001), younger age (mean 52.3-years vs. 61.1-63.7-years, p = 0.003), low socioeconomic status (53.4% vs. 32.0-33.9%, p = 0.003), and need for post-acute care (60.3% vs. 11.2-39.7%, p < 0.001). Independent factors associated with prolonged (Tier 4) HLOS were Medicaid (mOR = 1.99 [1.08-3.68], vs. Medicare/commercial), moderate and severe TBI (mOR = 3.48 [1.61-7.56]; mOR = 4.43 [2.18-8.99], respectively, vs. mild TBI), and need for post-acute placement (mOR = 10.68 [5.74-19.89], while age was protective (per-year mOR = 0.98 [0.97-0.99]). Estimated daily charges for a medically-stable inpatient was $17126. CONCLUSIONS Medicaid insurance, moderate/severe TBI, and need for post-acute care were independently associated with prolonged HLOS ≥28 days. Medically-stable inpatients awaiting placement accrue immense daily healthcare costs. At-risk patients should be identified early, receive care transitions resources, and be prioritized for discharge coordination pathways.
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Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America.
| | - Nishanth Krishnan
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Lawrence Chyall
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Paloma Vega
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Sabah Hamidi
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Leila L Etemad
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Joye X Tracey
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Michael C Huang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, United States of America; Institute for Health Policy Studies, University of California San Francisco, San Francisco, California, United States of America
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12
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Greisman JD, DiGiorgio AM. Artificial Intelligence (AI) in Neurosurgery: Information Management and Administrative Burden Solutions. World Neurosurg 2023; 176:237-238. [PMID: 37201793 DOI: 10.1016/j.wneu.2023.05.040] [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: 05/20/2023]
Affiliation(s)
| | - Anthony M DiGiorgio
- Department of Neurological Surgery & Institute for Health Policy Studies, University of California, San Francisco, California, USA; Institute for Health Policy Studies, University of California, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
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13
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Patel A, Mummaneni PV, Zheng J, Rosner BI, Thombley R, Sorour O, Theodosopoulos PV, Aghi MK, Berger MS, Chang EF, Chou D, Manley GT, DiGiorgio AM. On-Call Junior Neurosurgery Residents Spend 9 hours of Their On-Call Shift Actively Using the Electronic Health Record. Neurosurgery 2023; 92:870-875. [PMID: 36729755 DOI: 10.1227/neu.0000000000002288] [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: 07/11/2022] [Accepted: 10/03/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The electronic health record (EHR) is central to clinical workflow, yet few studies to date have explored EHR usage patterns among neurosurgery trainees. OBJECTIVE To describe the amount of EHR time spent by postgraduate year (PGY)-2 and PGY-3 neurosurgery residents during on-call days and the distribution of EHR activities in which they engage. METHODS This cohort study used the EHR audit logs, time-stamped records of user activities, to review EHR usage of PGY-2 and PGY-3 neurosurgery residents scheduled for 1 or more on-call days across 2 calendar years at the University of California San Francisco. We focused on the PGY-2 and PGY-3, which, in our training program, represent the primary participants in the in-house on-call pool. RESULTS Over 723 call days, 12 different residents took at least one on-call shift. The median (IQR) number of minutes that residents spent per on-call shift actively using the EHR was 536.8 (203.5), while interacting with an average (SD) of 68.1 (14.7) patient charts. There was no significant difference between Active EHR Time between residents as PGY-2 and PGY-3 on paired t -tests. Residents spent the most time on the following EHR activities: patient reports, notes, order management, patient list, and chart review. CONCLUSION Residents spent, on average, 9 hours of their on-call shift actively using the EHR, and there was no improved efficiency as residents gained experience. We noted several areas of administrative EHR burden, which could be reduced.
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Affiliation(s)
- Arati Patel
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Jeff Zheng
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Benjamin I Rosner
- Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
| | - Robert Thombley
- Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
| | - Omar Sorour
- University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Philip V Theodosopoulos
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Dean Chou
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Institute for Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
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14
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Yue JK, Krishnan N, Kanter JH, Deng H, Okonkwo DO, Puccio AM, Madhok DY, Belton PJ, Lindquist BE, Satris GG, Lee YM, Umbach G, Duhaime AC, Mukherjee P, Yuh EL, Valadka AB, DiGiorgio AM, Tarapore PE, Huang MC, Manley GT, Investigators TTRACKTBI. Neuroworsening in the Emergency Department Is a Predictor of Traumatic Brain Injury Intervention and Outcome: A TRACK-TBI Pilot Study. J Clin Med 2023; 12:2024. [PMID: 36902811 PMCID: PMC10004432 DOI: 10.3390/jcm12052024] [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: 02/11/2023] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
INTRODUCTION Neuroworsening may be a sign of progressive brain injury and is a factor for treatment of traumatic brain injury (TBI) in intensive care settings. The implications of neuroworsening for clinical management and long-term sequelae of TBI in the emergency department (ED) require characterization. METHODS Adult TBI subjects from the prospective Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot Study with ED admission and disposition Glasgow Coma Scale (GCS) scores were extracted. All patients received head computed tomography (CT) scan <24 h post-injury. Neuroworsening was defined as a decline in motor GCS at ED disposition (vs. ED admission). Clinical and CT characteristics, neurosurgical intervention, in-hospital mortality, and 3- and 6-month Glasgow Outcome Scale-Extended (GOS-E) scores were compared by neuroworsening status. Multivariable regressions were performed for neurosurgical intervention and unfavorable outcome (GOS-E ≤ 3). Multivariable odds ratios (mOR) with [95% confidence intervals] were reported. RESULTS In 481 subjects, 91.1% had ED admission GCS 13-15 and 3.3% had neuroworsening. All neuroworsening subjects were admitted to intensive care unit (vs. non-neuroworsening: 26.2%) and were CT-positive for structural injury (vs. 45.4%). Neuroworsening was associated with subdural (75.0%/22.2%), subarachnoid (81.3%/31.2%), and intraventricular hemorrhage (18.8%/2.2%), contusion (68.8%/20.4%), midline shift (50.0%/2.6%), cisternal compression (56.3%/5.6%), and cerebral edema (68.8%/12.3%; all p < 0.001). Neuroworsening subjects had higher likelihoods of cranial surgery (56.3%/3.5%), intracranial pressure (ICP) monitoring (62.5%/2.6%), in-hospital mortality (37.5%/0.6%), and unfavorable 3- and 6-month outcome (58.3%/4.9%; 53.8%/6.2%; all p < 0.001). On multivariable analysis, neuroworsening predicted surgery (mOR = 4.65 [1.02-21.19]), ICP monitoring (mOR = 15.48 [2.92-81.85], and unfavorable 3- and 6-month outcome (mOR = 5.36 [1.13-25.36]; mOR = 5.68 [1.18-27.35]). CONCLUSIONS Neuroworsening in the ED is an early indicator of TBI severity, and a predictor of neurosurgical intervention and unfavorable outcome. Clinicians must be vigilant in detecting neuroworsening, as affected patients are at increased risk for poor outcomes and may benefit from immediate therapeutic interventions.
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Affiliation(s)
- John K. Yue
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Nishanth Krishnan
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - John H. Kanter
- Section of Neurological Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH 03766, USA
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Debbie Y. Madhok
- Department of Emergency Medicine, University of California San Francisco, San Francisco, CA 94110, USA
| | - Patrick J. Belton
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Britta E. Lindquist
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94110, USA
| | - Gabriela G. Satris
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Young M. Lee
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Gray Umbach
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Ann-Christine Duhaime
- Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94110, USA
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94110, USA
| | - Alex B. Valadka
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
- Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA 94158, USA
| | - Phiroz E. Tarapore
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Michael C. Huang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94110, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
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15
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Koller GM, Reardon T, Kortz MW, Shlobin NA, Guadix SW, McCray E, Radwanski RE, Snyder HM, DiGiorgio AM, Hersh DS, Pannullo SC. Shared Objective Mentorship via Virtual Research and Education Initiatives for Medical Students and Residents in Neurosurgery: A Systematic Review and Methodological Discussion of the Neurosurgery Education and Research Virtual Group Experience. World Neurosurg 2023; 172:20-33. [PMID: 36646418 DOI: 10.1016/j.wneu.2023.01.035] [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: 09/24/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 01/14/2023]
Abstract
OBJECTIVE Virtual mentorship and research programs are becoming increasingly popular to facilitate education and career development for students and residents. We review virtual research initiatives for early trainees in neurosurgery and describe our effort to expand access to resources and shared objective mentorship (SOM) via the novel Neurosurgery Education and Research Virtual Group (NERVE). METHODS A systematic review of neurosurgical programming delivered via a virtual platform was conducted using PubMed, Embase, and Scopus databases. Identified articles were screened. Those meeting prespecified inclusion criteria were reviewed in full and examined for relevant data. Data analysis was performed using Microsoft Excel, and means and standard deviations were calculated. Descriptive analysis of NERVE characteristics was also performed. RESULTS Of the 2438 identified articles, 10 were included. The most common (70%) implementation style was a webinar-based lecture series. The least common (10%) was a longitudinal curricular interest group. Of the total NERVE cohort, 90% were first generation medical students and 82% attended institutions without home programs. Survey results indicated 73.8% had contributed to at least 2 research projects throughout the year. CONCLUSIONS There is a scarcity of virtual neurosurgical resources which facilitate SOM opportunities for trainees. In our systematic review, NERVE is the only multi-institutional virtual initiative aimed at increasing access to neurosurgical education and research opportunities for the purpose of SOM among early trainees from disadvantaged backgrounds. This highlights the group's niche and potential impact on increasing diversity in neurosurgery, improving trainees' career development, and facilitating future resident research productivity.
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Affiliation(s)
- Gretchen M Koller
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA.
| | - Taylor Reardon
- Kentucky College of Osteopathic Medicine, University of Pikeville, Pikeville, Kentucky, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Michael W Kortz
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Nathan A Shlobin
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Sergio W Guadix
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Edwin McCray
- Department of Orthopedic Surgery, University of Arizona, Tucson, Arizona, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Ryan E Radwanski
- Department of Neurosurgery, New Jersey Medical School, Rutgers University, Newark, New Jersey, USA; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Harrison M Snyder
- Department of Neurosurgery, Tufts Medical Center, Boston, Massachusetts, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Anthony M DiGiorgio
- Department of Neurosurgery, University of California, San Francisco, California, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - David S Hersh
- Division of Neurosurgery, Connecticut Children's, Hartford, Connecticut, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Susan C Pannullo
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
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16
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DiGiorgio AM, Mummaneni PV. Commentary: Association Between Neighborhood-Level Socioeconomic Disadvantage and Patient-Reported Outcomes in Lumbar Spine Surgery. Neurosurgery 2023; 92:e1-e2. [PMID: 36317928 DOI: 10.1227/neu.0000000000002185] [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] [Received: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.,Institute for Health Policy Studies, University of California, San Francisco, California, USA
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, California, USA
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17
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Spiro E, DiGiorgio AM. Commentary: The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases. Neurosurgery 2022; 91:e166-e167. [PMID: 36226959 DOI: 10.1227/neu.0000000000002178] [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] [Received: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
- Ergi Spiro
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, California, USA.,Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.,Institute for Health Policy Studies, University of California, San Francisco, California, USA
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18
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Yue JK, Krishnan N, Chyall L, Haddad AF, Vega P, Caldwell DJ, Umbach G, Tantry E, Tarapore PE, Huang MC, Manley GT, DiGiorgio AM. Predictors of Extreme Hospital Length of Stay After Traumatic Brain Injury. World Neurosurg 2022; 167:e998-e1005. [PMID: 36058487 DOI: 10.1016/j.wneu.2022.08.122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 07/09/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Hospital length of stay (HLOS) after traumatic brain injury (TBI) is an important metric of injury severity, resource utilization, and access to post-acute care services. Risk factors for protracted HLOS after TBI require further characterization. METHODS Data regarding adult inpatients admitted to a single U.S. level 1 trauma center with a diagnosis of acute TBI between August 1, 2019, and April 1, 2022, were extracted from the electronic health record. Patients with extreme HLOS (XHLOS, >99th percentile of institutional TBI HLOS) were compared with those without XHLOS. Socioeconomic status (SES), clinical/injury factors, and discharge disposition were analyzed. RESULTS In 1638 patients, the median HLOS was 3 days (interquartile range [IQR]: 2-8 days). XHLOS threshold was >70 days (N = 18; range: 72-146 days). XHLOS was associated with younger age (XHLOS/non-XHLOS: 50.4/59.6 years; P = 0.042) and greater proportions with severe TBI (55.6%/11.4%; P < 0.001), low SES (72.2%/31.4%; P < 0.001), and Medicaid insurance (77.8%/30.1%; P < 0.001). XHLOS patients were more likely to die in hospital (22.2%/8.1%) and discharge to post-acute facility (77.8%/16.3%; P < 0.001). No XHLOS patients were discharged to home. In XHLOS patients alive at discharge, medical stability was documented at median 39 days (IQR: 28-58 days) and were hospitalized for another 56 days (IQR: 26.5-78.5 days). CONCLUSIONS XHLOS patients were more likely to have severe injuries, low SES, and Medicaid. XHLOS is associated with in-hospital mortality and need for post-acute placement. XHLOS patients often demonstrated medical stability long before placement, underscoring complex relationships between SES, health insurance, and outcome. These findings have important implications for quality improvement and resource utilization at acute care hospitals and await validation from larger trials.
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Affiliation(s)
- John K Yue
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA.
| | - Nishanth Krishnan
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Lawrence Chyall
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Alexander F Haddad
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Paloma Vega
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - David J Caldwell
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Gray Umbach
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Evelyne Tantry
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
| | - Phiroz E Tarapore
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Michael C Huang
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA; Institute for Health Policy Studies, University of California San Francisco, San Francisco, California, USA; Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
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19
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Haddad AF, DiGiorgio AM, Tarapore PE. In Reply: The Morbidity and Mortality of Surgery for Traumatic Brain Injury in Geriatric Patients: A Study of Over 100 000 Patient Cases. Neurosurgery 2022; 91:e22-e23. [PMID: 35482333 DOI: 10.1227/neu.0000000000002009] [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: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Alexander F Haddad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
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Chan AK, Shahrestani S, Ballatori AM, Orrico KO, Manley GT, Tarapore PE, Huang M, Dhall SS, Chou D, Mummaneni PV, DiGiorgio AM. Is the Centers for Medicare and Medicaid Services Hierarchical Condition Category Risk Adjustment Model Satisfactory for Quantifying Risk After Spine Surgery? Neurosurgery 2022; 91:123-131. [PMID: 35550453 PMCID: PMC9514755 DOI: 10.1227/neu.0000000000001980] [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: 07/23/2021] [Accepted: 01/12/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The Centers for Medicare and Medicaid Services (CMS) hierarchical condition category (HCC) coding is a risk adjustment model that allows for the estimation of risk-and cost-associated with health care provision. Current models may not include key factors that fully delineate the risk associated with spine surgery. OBJECTIVE To augment CMS HCC risk adjustment methodology with socioeconomic data to improve its predictive capabilities for spine surgery. METHODS The National Inpatient Sample was queried for spinal fusion, and the data was merged with county-level coverage and socioeconomic status variables obtained from the Brookings Institute. We predicted outcomes (death, nonroutine discharge, length of stay [LOS], total charges, and perioperative complication) with pairs of hierarchical, mixed effects logistic regression models-one using CMS HCC score alone and another augmenting CMS HCC scores with demographic and socioeconomic status variables. Models were compared using receiver operating characteristic curves. Variable importance was assessed in conjunction with Wald testing for model optimization. RESULTS We analyzed 653 815 patients. Expanded models outperformed models using CMS HCC score alone for mortality, nonroutine discharge, LOS, total charges, and complications. For expanded models, variable importance analyses demonstrated that CMS HCC score was of chief importance for models of mortality, LOS, total charges, and complications. For the model of nonroutine discharge, age was the most important variable. For the model of total charges, unemployment rate was nearly as important as CMS HCC score. CONCLUSION The addition of key demographic and socioeconomic characteristics substantially improves the CMS HCC risk-adjustment models when modeling spinal fusion outcomes. This finding may have important implications for payers, hospitals, and policymakers.
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Affiliation(s)
- Andrew K. Chan
- Department of Neurological Surgery, University of California, San Francisco, California, USA
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Shane Shahrestani
- Department of Medical Engineering, California Institute of Technology, Pasadena, California, USA
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Alexander M. Ballatori
- Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Katie O. Orrico
- American Association of Neurological Surgeons/Congress of Neurological Surgeons Washington Office, Washington, District of Columbia, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Phiroz E. Tarapore
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Michael Huang
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Sanjay S. Dhall
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Dean Chou
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Praveen V. Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, California, USA
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, California, USA
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21
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DiGiorgio AM, Tantry EK. Commentary: Loss to Follow-up and Unplanned Readmission After Emergent Surgery for Acute Subdural Hematoma. Neurosurgery 2022; 91:e79-e80. [DOI: 10.1227/neu.0000000000002060] [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] [Received: 05/04/2022] [Accepted: 05/10/2022] [Indexed: 11/18/2022] Open
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22
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Gaudette É, Seabury SA, Temkin N, Barber J, DiGiorgio AM, Markowitz AJ, Manley GT. Employment and Economic Outcomes of Participants With Mild Traumatic Brain Injury in the TRACK-TBI Study. JAMA Netw Open 2022; 5:e2219444. [PMID: 35767257 PMCID: PMC9244609 DOI: 10.1001/jamanetworkopen.2022.19444] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
IMPORTANCE Mild traumatic brain injury (mTBI) may impair the ability to work. Strategies to facilitate return to work are understudied. OBJECTIVE To assess employment and economic outcomes for employed, working-age adults with mTBI in the 12 months after injury and the association between return to work and employer assistance. DESIGN, SETTING, AND PARTICIPANTS Using data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, a cohort study of patients with mTBI presenting to emergency departments of 11 level I US trauma centers was performed. Patients with mTBI enrolled in the TRACK-TBI cohort study from February 26, 2014, to May 4, 2016, were followed up at 2 weeks and 3, 6, and 12 months after injury. Work status and income decline of participants were documented in the first year after injury. Associations between work status, injury characteristics, and offer of employer assistance and associations between follow-up care and employer assistance were investigated. Results were adjusted for unobserved outcomes using inverse probability weighting. Data were extracted July 12, 2020; analyses were completed March 24, 2021. Analyses included 435 participants aged 18 to 64 years who were working before the injury, had a Glasgow Coma Scale score of 13 to 15, and completed all postinjury follow-up surveys. MAIN OUTCOMES AND MEASURES Primary outcomes were work status (working or not working) at each study follow-up milestone. Employer assistance included sick leave, reduced hours, modified schedule, transfer to different tasks, assistive technology, and coaching offered during the first 3 months after injury. RESULTS Of 435 participants (147 [34%] female; 320 [74%] White; mean [SD] age 37.3 [12.9] years), 258 (59%) reported not working at 2 weeks after injury and 74 (17%) reported not working at 12 months after injury. More than one-fifth (92 [21%]) experienced a decline in annual income. Work status at 12 months was significantly associated with postconcussion symptoms experienced at 3 months after injury (73% of patients with 3 or more symptoms reported working at 12 months after injury vs 89% of patients with 2 or fewer symptoms; P < .001) but not with other injury characteristics. Participants offered employer assistance in the first 3 months after injury were more likely to report working after injury than those not offered such assistance (at 6 months: 88% vs 78%; P = .02; at 12 months: 86% vs 72%; P = .005). CONCLUSIONS AND RELEVANCE In this cohort study, mTBI was associated with substantial employment and economic consequences for some patients. Clinicians should systematically follow up with patients with mTBI and coordinate with employers to promote successful return to work.
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Affiliation(s)
- Étienne Gaudette
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Seth A. Seabury
- Leonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles
- School of Pharmacy, University of Southern California, Los Angeles
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle
- Department of Biostatistics, University of Washington, Seattle
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California, San Francisco
- Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Zuckerberg San Francisco General Hospital, San Francisco, California
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23
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Hunt IE, Wittenberg BE, Kennamer B, Crutcher CL, Tender GC, Hunt JP, DiGiorgio AM. A Retrospective review on the timing of Glasgow Coma Score documentation in a trauma database: implications for patient care, research, and performance metrics. World Neurosurg 2022; 163:e559-e564. [DOI: 10.1016/j.wneu.2022.04.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 04/04/2022] [Accepted: 04/05/2022] [Indexed: 11/16/2022]
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24
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Agarwal N, Aabedi AA, Torres-Espin A, Chou A, Wozny TA, Mummaneni PV, Burke JF, Ferguson AR, Kyritsis N, Dhall SS, Weinstein PR, Duong-Fernandez X, Pan J, Singh V, Hemmerle DD, Talbott JF, Whetstone WD, Bresnahan JC, Manley GT, Beattie MS, DiGiorgio AM. Decision tree–based machine learning analysis of intraoperative vasopressor use to optimize neurological improvement in acute spinal cord injury. Neurosurg Focus 2022; 52:E9. [DOI: 10.3171/2022.1.focus21743] [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: 11/30/2021] [Accepted: 01/20/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
Previous work has shown that maintaining mean arterial pressures (MAPs) between 76 and 104 mm Hg intraoperatively is associated with improved neurological function at discharge in patients with acute spinal cord injury (SCI). However, whether temporary fluctuations in MAPs outside of this range can be tolerated without impairment of recovery is unknown. This retrospective study builds on previous work by implementing machine learning to derive clinically actionable thresholds for intraoperative MAP management guided by neurological outcomes.
METHODS
Seventy-four surgically treated patients were retrospectively analyzed as part of a longitudinal study assessing outcomes following SCI. Each patient underwent intraoperative hemodynamic monitoring with recordings at 5-minute intervals for a cumulative 28,594 minutes, resulting in 5718 unique data points for each parameter. The type of vasopressor used, dose, drug-related complications, average intraoperative MAP, and time spent in an extreme MAP range (< 76 mm Hg or > 104 mm Hg) were collected. Outcomes were evaluated by measuring the change in American Spinal Injury Association Impairment Scale (AIS) grade over the course of acute hospitalization. Features most predictive of an improvement in AIS grade were determined statistically by generating random forests with 10,000 iterations. Recursive partitioning was used to establish clinically intuitive thresholds for the top features.
RESULTS
At discharge, a significant improvement in AIS grade was noted by an average of 0.71 levels (p = 0.002). The hemodynamic parameters most important in predicting improvement were the amount of time intraoperative MAPs were in extreme ranges and the average intraoperative MAP. Patients with average intraoperative MAPs between 80 and 96 mm Hg throughout surgery had improved AIS grades at discharge. All patients with average intraoperative MAP > 96.3 mm Hg had no improvement. A threshold of 93 minutes spent in an extreme MAP range was identified after which the chance of neurological improvement significantly declined. Finally, the use of dopamine as compared to norepinephrine was associated with higher rates of significant cardiovascular complications (50% vs 25%, p < 0.001).
CONCLUSIONS
An average intraoperative MAP value between 80 and 96 mm Hg was associated with improved outcome, corroborating previous results and supporting the clinical verifiability of the model. Additionally, an accumulated time of 93 minutes or longer outside of the MAP range of 76–104 mm Hg is associated with worse neurological function at discharge among patients undergoing emergency surgical intervention for acute SCI.
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Affiliation(s)
- Nitin Agarwal
- Department of Neurological Surgery, University of California, San Francisco
| | | | - Abel Torres-Espin
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Austin Chou
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Thomas A. Wozny
- Department of Neurological Surgery, University of California, San Francisco
| | - Praveen V. Mummaneni
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
| | - John F. Burke
- Department of Neurological Surgery, University of California, San Francisco
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
- San Francisco Veterans Affairs Healthcare System, San Francisco; and
| | - Nikos Kyritsis
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Sanjay S. Dhall
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Philip R. Weinstein
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
| | - Xuan Duong-Fernandez
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Jonathan Pan
- Department of Neurological Surgery, University of California, San Francisco
- Department of Anesthesia and Perioperative Care, University of California, San Francisco
| | - Vineeta Singh
- Department of Neurological Surgery, University of California, San Francisco
- Department of Neurology, University of California, San Francisco
| | - Debra D. Hemmerle
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Jason F. Talbott
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - William D. Whetstone
- Department of Emergency Medicine, University of California, San Francisco, California
| | - Jacqueline C. Bresnahan
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
| | - Michael S. Beattie
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
- San Francisco Veterans Affairs Healthcare System, San Francisco; and
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco
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Perera S, Hervey-Jumper SL, Mummaneni PV, Barthélemy EJ, Haddad AF, Marotta DA, Burke JF, Chan AK, Manley GT, Tarapore PE, Huang MC, Dhall SS, Chou D, Orrico KO, DiGiorgio AM. Do social determinants of health impact access to neurosurgical care in the United States? A workforce perspective. J Neurosurg 2022; 137:1-10. [PMID: 35472666 DOI: 10.3171/2021.10.jns211330] [Citation(s) in RCA: 2] [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] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/27/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE This study attempts to use neurosurgical workforce distribution to uncover the social determinants of health that are associated with disparate access to neurosurgical care. METHODS Data were compiled from public sources and aggregated at the county level. Socioeconomic data were provided by the Brookings Institute. Racial and ethnicity data were gathered from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research. Physician density was retrieved from the Health Resources and Services Administration Area Health Resources Files. Catchment areas were constructed based on the 628 counties with neurosurgical coverage, with counties lacking neurosurgical coverage being integrated with the nearest covered county based on distances from the National Bureau of Economic Research's County Distance Database. Catchment areas form a mutually exclusive and collectively exhaustive breakdown of the entire US population and licensed neurosurgeons. Socioeconomic factors, race, and ethnicity were chosen as independent variables for analysis. Characteristics for each catchment area were calculated as the population-weighted average across all contained counties. Linear regression analysis modeled two outcomes of interest: neurosurgeon density per capita and average distance to neurosurgical care. Coefficient estimates (CEs) and 95% confidence intervals were calculated and scaled by 1 SD to allow for comparison between variables. RESULTS Catchment areas with higher poverty (CE = 0.64, 95% CI 0.34-0.93) and higher prime age employment (CE = 0.58, 95% CI 0.40-0.76) were significantly associated with greater neurosurgeon density. Among categories of race and ethnicity, catchment areas with higher proportions of Black residents (CE = 0.21, 95% CI 0.06-0.35) were associated with greater neurosurgeon density. Meanwhile, catchment areas with higher proportions of Hispanic residents displayed lower neurosurgeon density (CE = -0.17, 95% CI -0.30 to -0.03). Residents of catchment areas with higher housing vacancy rates (CE = 2.37, 95% CI 1.31-3.43), higher proportions of Native American residents (CE = 4.97, 95% CI 3.99-5.95), and higher proportions of Hispanic residents (CE = 2.31, 95% CI 1.26-3.37) must travel farther, on average, to receive neurosurgical care, whereas people living in areas with a lower income (CE = -2.28, 95% CI -4.48 to -0.09) or higher proportion of Black residents (CE = -3.81, 95% CI -4.93 to -2.68) travel a shorter distance. CONCLUSIONS Multiple factors demonstrate a significant correlation with neurosurgical workforce distribution in the US, most notably with Hispanic and Native American populations being associated with greater distances to care. Additionally, higher proportions of Hispanic residents correlated with fewer neurosurgeons per capita. These findings highlight the interwoven associations among socioeconomics, race, ethnicity, and access to neurosurgical care nationwide.
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Affiliation(s)
- Sudheesha Perera
- 1Warren Alpert School of Medicine, Brown University, Providence, Rhode Island
| | - Shawn L Hervey-Jumper
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Praveen V Mummaneni
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Ernest J Barthélemy
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Alexander F Haddad
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Dario A Marotta
- 3Alabama College of Osteopathic Medicine, Dothan, Alabama; and
| | - John F Burke
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Andrew K Chan
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Geoffrey T Manley
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Phiroz E Tarapore
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Michael C Huang
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Sanjay S Dhall
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Dean Chou
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Katie O Orrico
- 4Washington Office, American Association of Neurological Surgeons/Congress of Neurological Surgeons, Washington, DC
| | - Anthony M DiGiorgio
- 2Department of Neurological Surgery, University of California, San Francisco, California
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Tawil M, DiGiorgio AM. Competition in California’s Medi-Cal Managed Care Market Assessed by Herfindahl-Hirschman Index. INQUIRY 2022; 59:469580221127063. [PMID: 36168304 PMCID: PMC9520176 DOI: 10.1177/00469580221127063] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Evaluating market competition is an important practice to assess how the forces and components at play in a select market interact. Healthcare markets are similar to any other market present in the world, where competition can be present or absent in the exchange of goods and services. Applying a standard measure of assessing market competition, the Herfindahl-Hirschman Index, to California’s Medi-Cal managed care marketplace, it is found that there is no competition present in all of California’s counties as defined by the common interpretation of the Herfindahl-Hirschman Index. A distinctive trend in markets is that when less competition is present, the cost of goods and services increases to reflect the principles of supply and demand. California Medi-Cal markets follow this trend of less competitive markets being associated with increased adult midpoint costs. These findings help further to elucidate California’s Medi-Cal marketplace on a county-by county level.
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Affiliation(s)
- Michael Tawil
- School of Medicine, University of California, San Francisco, CA, USA
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Institute for Health Policy Studies, University of California, San Francisco, CA, USA
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27
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Haddad AF, DiGiorgio AM, Lee YM, Lee AT, Burke JF, Huang MC, Dhall SS, Manley GT, Tarapore PE. The Morbidity and Mortality of Surgery for Traumatic Brain Injury in Geriatric Patients: A Study of Over 100 000 Patient Cases. Neurosurgery 2021; 89:1062-1070. [PMID: 34624082 DOI: 10.1093/neuros/nyab359] [Citation(s) in RCA: 3] [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] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 07/31/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Geriatric patients have the highest rates of Traumatic Brain Injury (TBI)-related hospitalization and death. This contributes to an assumption of futility in aggressive management in this population. OBJECTIVE To evaluate the effect of surgical intervention on the morbidity and mortality of geriatric patients with TBI. METHODS A retrospective analysis of patients ≥80 yr old with TBI from 2003 to 2016 was performed using the National Trauma Data Bank. Univariate and multivariate analyses were performed to compare outcomes between surgery and nonsurgery groups. RESULTS A total of 127 129 patient incidents were included: 121 185 (95.3%) without surgery and 5944 (4.7%) with surgery. The surgical group was slightly younger (84.0 vs 84.3, P < .001) and predominantly male (60.2% vs 44.4%, P < .001). Mean emergency department (ED) Glasgow Coma Scale (GCS) was lower in surgical patients (12.4 vs 13.7, P < .001). Complications (OR = 1.91, CI:1.80-2.02, P < .001) and hospital length of stay (LOS, ß = 5.25, CI:5.08-5.42, P < .001) were independently associated with surgery. Intensive care unit (ICU) LOS (ß = 3.19, CI:3.05-3.34, P < .001), ventilator days (ß = 1.57, CI:1.22-1.92, P < .001), and reduced discharge home (OR = 0.434, CI:0.400-0.470, P < .001) were also independently associated with surgery. However, surgery was not independently associated with mortality on multivariate analysis (OR = 1.03, CI:0.955-1.12, P = .423). Recursive partitioning analysis identified ED GCS and injury severity score (ISS) as prognosticators of mortality following surgical intervention. CONCLUSION Surgical treatment of geriatric patients with TBI is associated with increased complications, hospital LOS, ICU LOS, and ventilator days as well as reduced discharge to home. However, surgery is not associated with increased mortality. ISS and ED GCS are prognosticators of mortality following surgical intervention.
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Affiliation(s)
- Alexander F Haddad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Young M Lee
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Anthony T Lee
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - John F Burke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Michael C Huang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Sanjay S Dhall
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.,Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California, USA
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Abstract
In this review, we provide an overview of the current research and treatment of all types of traumatic brain injury (TBI) before illustrating the need for improved care specific to mild TBI patients. Contemporary issues pertaining to acute care of mild TBI including prognostication, neurosurgical intervention, repeat radiographic imaging, reversal of antiplatelet and anticoagulation medications, and cost savings initiatives are reviewed. Lastly, the effect of COVID-19 on TBI is addressed.
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Affiliation(s)
- Evan M Krueger
- Neurological Surgery, Carle Foundation Hospital, Urbana, USA
| | - Anthony M DiGiorgio
- Neurological Surgery, University of California San Francisco, San Francisco, USA
| | - Jonathan Jagid
- Neurological Surgery, University of Miami, Coral Gables, USA
| | | | - Hamad Farhat
- Neurological Surgery, Advocate Aurora Health Care, Downers Grove, USA
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Kortz MW, Shlobin NA, Radwanski RE, Mureb M, DiGiorgio AM. Virtual Neurosurgery Education for Medical Students without Home Residency Programs: A Survey of 2020 Virtual Neurosurgery Training Camp Attendees. World Neurosurg 2021; 157:e148-e155. [PMID: 34619405 DOI: 10.1016/j.wneu.2021.09.117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 08/03/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To examine the perceived effectiveness of the virtual neurosurgery training camps (VNTC) among medical students with (HP) and without (NHP) home neurosurgery residency programs. METHODS A survey assessing demographics, baseline interests, and ratings of usefulness and interest of programming was sent to attendees after the VNTC. Ratings were quantified on modified 7-point Likert scales. Ratings were compared between attendees HP and NHP neurosurgery residency programs using Wilcoxon sum-rank or χ2 tests. A P value of 0.05 determined significance. RESULTS There were 119 respondents, with 80 (67.2%) HP and 39 (32.8%) NHP students. Differences were observed between the groups for medical school type (P = 0.002), highest degree achieved (P = 0.030), previous participation in a Medical Student Neurosurgery Training Center event (P = 0.004), having a neurosurgery interest group (P < 0.001), and primary reason for VNTC attendance (P = 0.028). Increased interest in peripheral nerve neurosurgery was greater for the NHP (P = 0.047) but not neurosurgery or other subspecialties. A significant difference in usefulness of the different VNTC sessions was observed (P = 0.002), whereas none was seen in willingness to pursue neurosurgery (P = 0.33), likelihood of taking a year off (P = 0.44), and preparedness for subinternships (P = 0.57) or applications (P = 0.77). CONCLUSIONS The 2020 VNTC benefited both HPO and NHP medical students, but there were differences in perceived usefulness of virtual education. Future initiatives should continue to be tailored toward disadvantaged students.
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Affiliation(s)
- Michael W Kortz
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA.
| | - Nathan A Shlobin
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Ryan E Radwanski
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Monica Mureb
- Department of Neurosurgery, New York Medical College and Westchester Medical Center, Valhalla, New York, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, California, USA; Medical Student Neurosurgery Training Center, Brain and Spine Group, Inc., Pasadena, California, USA
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30
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Lu AY, Blitstein JS, Talbott JF, Chan AK, Dhall SS, El Naga AN, Tan LA, Clark AJ, Chou D, Mummaneni PV, DiGiorgio AM. Single versus dual operative spine fractures in ankylosing spondylitis. Neurosurg Focus 2021; 51:E6. [PMID: 34598123 DOI: 10.3171/2021.7.focus21329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 05/31/2021] [Accepted: 07/16/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Ankylosing spondylitis, the most common spondyloarthritis, fuses individual spinal vertebrae into long segments. The unique biomechanics of the ankylosed spine places patients at unusually high risk for unstable fractures secondary to low-impact mechanisms. These injuries are unique within the spine trauma population and necessitate thoughtful management. Therefore, the authors aimed to present a richly annotated data set of operative AS spine fractures with a significant portion of patients with simultaneous dual noncontiguous fractures. METHODS Patients with ankylosing spondylitis with acute fractures who received operative management between 2012 and 2020 were reviewed. Demographic, admission, surgical, and outcome parameters were retrospectively collected and reviewed. RESULTS In total, 29 patients were identified across 30 different admissions. At admission, the mean age was 71.7 ± 11.8 years. The mechanism of injury in 77% of the admissions was a ground-level fall; 30% also presented with polytrauma. Of admissions, 50% were patient transfers from outside hospitals, whereas the other half presented primarily to our emergency departments. Fifty percent of patients sustained a spinal cord injury, and 35 operative fractures were identified and treated in 32 surgeries. The majority of fractures clustered around the cervicothoracic (C4-T1, 48.6%) and thoracolumbar (T8-L3, 37.11%) junctions. Five patients (17.2%) had simultaneous dual noncontiguous operative fractures; these patients were more likely to have presented with a higher-energy mechanism of injury such as a bicycle or motor vehicle accident compared with patients with a single operative fracture (60% vs 8%, p = 0.024). On preoperative MRI, 56.3% of the fractures had epidural hematomas (EDHs); 25% were compressive of the underlying neural elements, which dictated the number of laminectomy levels performed (no EDH, 2.1 ± 2.36; noncompressive EDH, 2.1 ± 1.85; and compressive EDH, 7.4 ± 4 [p = 0.003]). The mean difference in instrumented levels was 8.7 ± 2.6 with a mean estimated blood loss (EBL) of 1183 ± 1779.5 mL. Patients on a regimen of antiplatelet therapy had a significantly higher EBL (2635.7 mL vs 759.4 mL, p = 0.015). Overall, patients had a mean hospital length of stay of 15.2 ± 18.5 days; 5 patients died during the same admission or after transfer to an outside hospital. Nine of 29 patients (31%) had died by the last follow-up (the mean follow-up was 596.3 ± 878.9 days). CONCLUSIONS Patients with AS who have been found to have unstable spine fractures warrant a thorough diagnostic evaluation to identify secondary fractures as well as compressive EDHs. These patients experienced prolonged inpatient hospitalizations with significant morbidity and mortality.
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Affiliation(s)
- Alex Y Lu
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Jacob S Blitstein
- 2Touro University California, College of Osteopathic Medicine, Vallejo
| | - Jason F Talbott
- 3Department of Radiology, University of California, San Francisco; and
| | - Andrew K Chan
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Sanjay S Dhall
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Ashraf N El Naga
- 4Department of Orthopedic Surgery, University of California, San Francisco, California
| | - Lee A Tan
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Aaron J Clark
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Dean Chou
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Praveen V Mummaneni
- 1Department of Neurological Surgery, University of California, San Francisco
| | - Anthony M DiGiorgio
- 1Department of Neurological Surgery, University of California, San Francisco
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Chan AK, Santacatterina M, Pennicooke B, Shahrestani S, Ballatori AM, Orrico KO, Burke JF, Manley GT, Tarapore PE, Huang MC, Dhall SS, Chou D, Mummaneni PV, DiGiorgio AM. Does state malpractice environment affect outcomes following spinal fusions? A robust statistical and machine learning analysis of 549,775 discharges following spinal fusion surgery in the United States. Neurosurg Focus 2021; 49:E18. [PMID: 33130616 DOI: 10.3171/2020.8.focus20610] [Citation(s) in RCA: 3] [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] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 08/20/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Spine surgery is especially susceptible to malpractice claims. Critics of the US medical liability system argue that it drives up costs, whereas proponents argue it deters negligence. Here, the authors study the relationship between malpractice claim density and outcomes. METHODS The following methods were used: 1) the National Practitioner Data Bank was used to determine the number of malpractice claims per 100 physicians, by state, between 2005 and 2010; 2) the Nationwide Inpatient Sample was queried for spinal fusion patients; and 3) the Area Resource File was queried to determine the density of physicians, by state. States were categorized into 4 quartiles regarding the frequency of malpractice claims per 100 physicians. To evaluate the association between malpractice claims and death, discharge disposition, length of stay (LOS), and total costs, an inverse-probability-weighted regression-adjustment estimator was used. The authors controlled for patient and hospital characteristics. Covariates were used to train machine learning models to predict death, discharge disposition not to home, LOS, and total costs. RESULTS Overall, 549,775 discharges following spinal fusions were identified, with 495,640 yielding state-level information about medical malpractice claim frequency per 100 physicians. Of these, 124,425 (25.1%), 132,613 (26.8%), 130,929 (26.4%), and 107,673 (21.7%) were from the lowest, second-lowest, second-highest, and highest quartile states, respectively, for malpractice claims per 100 physicians. Compared to the states with the fewest claims (lowest quartile), surgeries in states with the most claims (highest quartile) showed a statistically significantly higher odds of a nonhome discharge (OR 1.169, 95% CI 1.139-1.200), longer LOS (mean difference 0.304, 95% CI 0.256-0.352), and higher total charges (mean difference [log scale] 0.288, 95% CI 0.281-0.295) with no significant associations for mortality. For the machine learning models-which included medical malpractice claim density as a covariate-the areas under the curve for death and discharge disposition were 0.94 and 0.87, and the R2 values for LOS and total charge were 0.55 and 0.60, respectively. CONCLUSIONS Spinal fusion procedures from states with a higher frequency of malpractice claims were associated with an increased odds of nonhome discharge, longer LOS, and higher total charges. This suggests that medicolegal climate may potentially alter practice patterns for a given spine surgeon and may have important implications for medical liability reform. Machine learning models that included medical malpractice claim density as a feature were satisfactory in prediction and may be helpful for patients, surgeons, hospitals, and payers.
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Affiliation(s)
- Andrew K Chan
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Michele Santacatterina
- 2Cornell TRIPODS Center for Data Science for Improved Decision-Making and Cornell Tech, Cornell University, New York, New York
| | - Brenton Pennicooke
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Shane Shahrestani
- 3Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Alexander M Ballatori
- 3Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Katie O Orrico
- 4American Association of Neurological Surgeons/Congress of Neurological Surgeons Washington Office, Washington, DC
| | - John F Burke
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Geoffrey T Manley
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Phiroz E Tarapore
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Michael C Huang
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Sanjay S Dhall
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Dean Chou
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Praveen V Mummaneni
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Anthony M DiGiorgio
- 1Department of Neurological Surgery, University of California, San Francisco, California
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DiGiorgio AM, Menger RP. Commentary: An Analysis of Medicare Reimbursement for Neurosurgeon Office Visits: 2010 Compared to 2018. Neurosurgery 2021; 89:E128-E129. [PMID: 34000731 DOI: 10.1093/neuros/nyab172] [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] [Received: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 11/12/2022] Open
Affiliation(s)
- Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Richard P Menger
- Department of Neurological Surgery, USA Health, Mobile, Alabama, USA.,Department of Political Science, USA Health, Mobile, Alabama, USA
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Kortz MW, McCray E, Lillehei KO, DiGiorgio AM. Letter: A Novel Neurosurgery Virtual Interest Group for Disadvantaged Medical Students: Lessons Learned for the Postpandemic Era. Neurosurgery 2021; 89:E253-E254. [PMID: 34293167 DOI: 10.1093/neuros/nyab267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Michael W Kortz
- Department of Neurosurgery University of Colorado School of Medicine Aurora, Colorado, USA
| | - Edwin McCray
- Department of Neurosurgery Duke University Medical Center Durham, North Carolina, USA
| | - Kevin O Lillehei
- Department of Neurosurgery University of Colorado School of Medicine Aurora, Colorado, USA
| | - Anthony M DiGiorgio
- Department of Neurosurgery University of California San Francisco, California, USA
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Tsolinas RE, Burke JF, DiGiorgio AM, Thomas LH, Duong-Fernandez X, Harris MH, Yue JK, Winkler EA, Suen CG, Pascual LU, Ferguson AR, Huie JR, Pan JZ, Hemmerle DD, Singh V, Torres-Espin A, Omondi C, Kyritsis N, Haefeli J, Weinstein PR, de Almeida Neto CA, Kuo YH, Taggard D, Talbott JF, Whetstone WD, Manley GT, Bresnahan JC, Beattie MS, Dhall SS. Transforming Research and Clinical Knowledge in Spinal Cord Injury (TRACK-SCI): an overview of initial enrollment and demographics. Neurosurg Focus 2021; 48:E6. [PMID: 32357323 DOI: 10.3171/2020.2.focus191030] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 02/14/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Traumatic spinal cord injury (SCI) is a dreaded condition that can lead to paralysis and severe disability. With few treatment options available for patients who have suffered from SCI, it is important to develop prospective databases to standardize data collection in order to develop new therapeutic approaches and guidelines. Here, the authors present an overview of their multicenter, prospective, observational patient registry, Transforming Research and Clinical Knowledge in SCI (TRACK-SCI). METHODS Data were collected using the National Institute of Neurological Disorders and Stroke (NINDS) common data elements (CDEs). Highly granular clinical information, in addition to standardized imaging, biospecimen, and follow-up data, were included in the registry. Surgical approaches were determined by the surgeon treating each patient; however, they were carefully documented and compared within and across study sites. Follow-up visits were scheduled for 6 and 12 months after injury. RESULTS One hundred sixty patients were enrolled in the TRACK-SCI study. In this overview, basic clinical, imaging, neurological severity, and follow-up data on these patients are presented. Overall, 78.8% of the patients were determined to be surgical candidates and underwent spinal decompression and/or stabilization. Follow-up rates to date at 6 and 12 months are 45% and 36.3%, respectively. Overall resources required for clinical research coordination are also discussed. CONCLUSIONS The authors established the feasibility of SCI CDE implementation in a multicenter, prospective observational study. Through the application of standardized SCI CDEs and expansion of future multicenter collaborations, they hope to advance SCI research and improve treatment.
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Affiliation(s)
- Rachel E Tsolinas
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of
| | - John F Burke
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Anthony M DiGiorgio
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Leigh H Thomas
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Xuan Duong-Fernandez
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Mark H Harris
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - John K Yue
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Ethan A Winkler
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Catherine G Suen
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Lisa U Pascual
- 4Orthopaedic Surgery and Orthopedic Trauma Institute, Zuckerberg San Francisco General Hospital.,5Orthopedic Surgery
| | - Adam R Ferguson
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience.,6San Francisco Veterans Affairs Healthcare System
| | - J Russell Huie
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Jonathan Z Pan
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,7Anesthesia and Perioperative Care
| | - Debra D Hemmerle
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Vineeta Singh
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,3Weill Institutes for Neuroscience.,8Neurology, and
| | - Abel Torres-Espin
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Cleopa Omondi
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Nikos Kyritsis
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Jenny Haefeli
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Philip R Weinstein
- 2Neurological Surgery.,3Weill Institutes for Neuroscience.,9Institute for Neurodegenerative Diseases, Spine Center, University of California San Francisco
| | - Carlos A de Almeida Neto
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Yu-Hung Kuo
- 12Department of Neurological Surgery, University of California San Francisco-Fresno, Fresno, California
| | - Derek Taggard
- 12Department of Neurological Surgery, University of California San Francisco-Fresno, Fresno, California
| | - Jason F Talbott
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,10Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, San Francisco; and
| | | | - Geoffrey T Manley
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Jacqueline C Bresnahan
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Michael S Beattie
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Sanjay S Dhall
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
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Kyritsis N, Torres-Espín A, Schupp PG, Huie JR, Chou A, Duong-Fernandez X, Thomas LH, Tsolinas RE, Hemmerle DD, Pascual LU, Singh V, Pan JZ, Talbott JF, Whetstone WD, Burke JF, DiGiorgio AM, Weinstein PR, Manley GT, Dhall SS, Ferguson AR, Oldham MC, Bresnahan JC, Beattie MS. Diagnostic blood RNA profiles for human acute spinal cord injury. J Exp Med 2021; 218:e20201795. [PMID: 33512429 PMCID: PMC7852457 DOI: 10.1084/jem.20201795] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/18/2020] [Accepted: 12/22/2020] [Indexed: 12/14/2022] Open
Abstract
Diagnosis of spinal cord injury (SCI) severity at the ultra-acute stage is of great importance for emergency clinical care of patients as well as for potential enrollment into clinical trials. The lack of a diagnostic biomarker for SCI has played a major role in the poor results of clinical trials. We analyzed global gene expression in peripheral white blood cells during the acute injury phase and identified 197 genes whose expression changed after SCI compared with healthy and trauma controls and in direct relation to SCI severity. Unsupervised coexpression network analysis identified several gene modules that predicted injury severity (AIS grades) with an overall accuracy of 72.7% and included signatures of immune cell subtypes. Specifically, for complete SCIs (AIS A), ROC analysis showed impressive specificity and sensitivity (AUC: 0.865). Similar precision was also shown for AIS D SCIs (AUC: 0.938). Our findings indicate that global transcriptomic changes in peripheral blood cells have diagnostic and potentially prognostic value for SCI severity.
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Affiliation(s)
- Nikos Kyritsis
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Abel Torres-Espín
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Patrick G. Schupp
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Brain Tumor Center, University of California, San Francisco, San Francisco, CA
| | - J. Russell Huie
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Austin Chou
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Xuan Duong-Fernandez
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Leigh H. Thomas
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Rachel E. Tsolinas
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Debra D. Hemmerle
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Lisa U. Pascual
- Orthopaedic Trauma Institute, Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA
| | - Vineeta Singh
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jonathan Z. Pan
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA
| | - Jason F. Talbott
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - William D. Whetstone
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, CA
| | - John F. Burke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Anthony M. DiGiorgio
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Philip R. Weinstein
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
- Weill Institute for Neurosciences, Institute for Neurodegenerative Diseases, Spine Center, University of California, San Francisco, San Francisco, CA
| | - Geoffrey T. Manley
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Sanjay S. Dhall
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Adam R. Ferguson
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA
| | - Michael C. Oldham
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Brain Tumor Center, University of California, San Francisco, San Francisco, CA
| | - Jacqueline C. Bresnahan
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Michael S. Beattie
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA
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Chan AK, Santacatterina M, Pennicooke BH, Shahrestani S, Ballatori A, Burke JF, Manley GT, Tarapore PE, Huang MC, Dhall SS, Chou D, Mummaneni PV, DiGiorgio AM. Does State Malpractice Environment Affect Outcomes Following Spinal Fusions? A Machine Learning Analysis. Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_117] [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: 11/13/2022] Open
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Haddad AF, DiGiorgio AM, Lee YM, Lee AT, Burke JF, Huang MC, Dhall SS, Manley GT, Tarapore PE. The Morbidity and Mortality of Surgery for Traumatic Brain Injury in Geriatric Patients. Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_423] [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: 11/13/2022] Open
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38
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Burke JF, Mummaneni N, Ferguson A, Huie JR, Thomas LH, Pascual L, DiGiorgio AM, Hemmerle DP, Singh V, Torres A, Kyritsis N, Weinstein PR, Whetstone W, Dhall SS, Fernandez XD, Beattie M, Bresnahan J, Talbott J. Atlas-based Volumetric Analysis of Blunt Spinal Cord Contusion Injury. Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_416] [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: 11/14/2022] Open
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Morrow KD, Shields J, Podet A, Park J, Girolamo TW, Wilson JD, DiGiorgio AM. Safety of MRI with Retained Civilian Bullets. Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_455] [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: 11/13/2022] Open
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40
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DiGiorgio AM, Nathan JK, Menger RP. In Reply to the Letter to the Editor Regarding "Finding Our Voice: U.S. Neurosurgeons in Administration and Advocacy". World Neurosurg 2020; 144:321. [PMID: 33227863 DOI: 10.1016/j.wneu.2020.08.228] [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] [Received: 08/29/2020] [Accepted: 08/31/2020] [Indexed: 11/17/2022]
Affiliation(s)
- Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, California, USA.
| | - Jay K Nathan
- Department of Neurological Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Richard P Menger
- Department of Neurological Surgery, USA Health, Mobile, Alabama, USA; Department of Political Science, USA Health, Mobile, Alabama, USA
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Mummaneni N, Burke JF, DiGiorgio AM, Thomas LH, Duong-Fernandez X, Harris M, Pascual LU, Ferguson AR, Russell Huie J, Pan JZ, Hemmerle DD, Singh V, Torres-Espin A, Omondi C, Kyritsis N, Weinstein PR, Whetstone WD, Manley GT, Bresnahan JC, Beattie MS, Cohen-Adad J, Dhall SS, Talbott JF. Injury volume extracted from MRI predicts neurologic outcome in acute spinal cord injury: A prospective TRACK-SCI pilot study. J Clin Neurosci 2020; 82:231-236. [PMID: 33248950 DOI: 10.1016/j.jocn.2020.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 09/29/2020] [Accepted: 11/01/2020] [Indexed: 12/18/2022]
Abstract
Conventional MRI measures of traumatic spinal cord injury severity largely rely on 2-dimensional injury characteristics such as intramedullary lesion length and cord compression. Recent advances in spinal cord (SC) analysis have led to the development of a robust anatomic atlas incorporated into an open-source platform called the Spinal Cord Toolbox (SCT) that allows for quantitative volumetric injury analysis. In the current study, we evaluate the prognostic value of volumetric measures of spinal cord injury on MRI following registration of T2-weighted (T2w) images and segmented lesions from acute SCI patients with a standardized atlas. This IRB-approved prospective cohort study involved the image analysis of 60 blunt cervical SCI patients enrolled in the TRACK-SCI clinical research protocol. Axial T2w MRI data obtained within 24 h of injury were processed using the SCT. Briefly, SC MRIs were automatically segmented using the sct_deepseg_sc tool in the SCT and segmentations were manually corrected by a neuro-radiologist. Lesion volume data were used as predictor variables for correlation with lower extremity motor scores at discharge. Volumetric MRI measures of T2w signal abnormality comprising the SCI lesion accurately predict lower extremity motor scores at time of patient discharge. Similarly, MRI measures of injury volume significantly correlated with motor scores to a greater degree than conventional 2-D metrics of lesion size. The volume of total injury and of injured spinal cord motor regions on T2w MRI is significantly and independently associated with neurologic outcome at discharge after injury.
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Affiliation(s)
- Nikhil Mummaneni
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - John F Burke
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
| | - Anthony M DiGiorgio
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Leigh H Thomas
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Xuan Duong-Fernandez
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Mark Harris
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Lisa U Pascual
- Orthopedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Adam R Ferguson
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA; San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - J Russell Huie
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Jonathan Z Pan
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, USA
| | - Debra D Hemmerle
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Vineeta Singh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA; Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Abel Torres-Espin
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Cleopa Omondi
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Nikos Kyritsis
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Phillip R Weinstein
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA; Institute for Neurodegenerative Diseases, Spine Center, University of California San Francisco, San Francisco, CA, USA
| | - William D Whetstone
- Department of Emergency Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline C Bresnahan
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Michael S Beattie
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA; Weill Institutes for Neuroscience, San Francisco, CA, USA
| | - Julien Cohen-Adad
- Polytechnique Montréal, Université de Montréal, Montréal, Quebec, Canada
| | - Sanjay S Dhall
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Jason F Talbott
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA; Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
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Podet AG, Morrow KD, Robichaux JM, Shields JA, DiGiorgio AM, Tender GC. Minimally invasive lateral corpectomy for thoracolumbar traumatic burst fractures. Neurosurg Focus 2020; 49:E12. [DOI: 10.3171/2020.6.focus20366] [Citation(s) in RCA: 8] [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] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/10/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVEThe need for anterior column reconstruction after thoracolumbar burst fractures remains controversial. Here, the authors present their experience with minimally invasive lateral thoracolumbar corpectomies for traumatic fractures.METHODSBetween 2012 and 2019, 59 patients with 65 thoracolumbar fractures underwent 65 minimally invasive lateral corpectomies (MIS group). This group was compared to 16 patients with single-level thoracolumbar fractures who had undergone open lateral corpectomies with the assistance of general surgery between 2007 and 2011 (open control group). Comparisons of the two groups were made with regard to operative time, estimated blood loss, time to ambulation, and fusion rates at 1 year postoperatively. The authors further analyzed the MIS group with regard to injury mechanism, fracture characteristics, neurological outcome, and complications.RESULTSPatients in the MIS group had a significantly shorter mean operative time (228.3 ± 27.9 vs 255.6 ± 34.1 minutes, p = 0.001) and significantly shorter mean time to ambulation after surgery (1.8 ± 1.1 vs 5.0 ± 0.8 days, p < 0.001) than the open corpectomy group. Mean estimated blood loss did not differ significantly between the two groups, though the MIS group did trend toward a lower mean blood loss. There was no significant difference in fusion status at 1 year between the MIS and open groups; however, this comparison was limited by poor follow-up, with only 32 of 59 patients (54.2%) in the MIS group and 8 of 16 (50%) in the open group having available imaging at 1 year. Complications in the MIS group included 1 screw misplacement requiring revision, 2 postoperative femoral neuropathies (one of which improved), 1 return to surgery for inadequate posterior decompression, 4 pneumothoraces requiring chest tube placement, and 1 posterior wound infection. The rate of revision surgery for the failure of fusion in the MIS group was 1.7% (1 of 59 patients).CONCLUSIONSThe minimally invasive lateral thoracolumbar corpectomy approach for traumatic fractures appears to be relatively safe and may result in shorter operative times and quicker mobilization as compared to those with open techniques. This should be considered as a treatment option for thoracolumbar spine fractures.
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Affiliation(s)
- Adam G. Podet
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Kevin D. Morrow
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Jared M. Robichaux
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Jessica A. Shields
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Anthony M. DiGiorgio
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
- 2Department of Neurological Surgery, University of California, San Francisco, California
| | - Gabriel C. Tender
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
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DiGiorgio AM, Stein R, Morrow KD, Robichaux JM, Crutcher CL, Tender GC. The increasing frequency of intravenous drug abuse-associated spinal epidural abscesses: a case series. Neurosurg Focus 2020; 46:E4. [PMID: 30611170 DOI: 10.3171/2018.10.focus18449] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [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: 08/31/2018] [Accepted: 10/12/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVEFew studies have been published specifically examining intravenous drug abuse (IVDA)-associated spinal epidural abscesses (SEAs), an unfortunate sequela of the opioid crisis in the United States. Here, the authors examined a series of patients with IVDA-associated SEAs in order to shed light on this challenging disease entity.METHODSThis study is a retrospective chart review of patients presenting with IVDA-associated SEAs at the authors' institution from 2013 to 2018, spanning the statewide implementation of opioid-prescribing restrictions.RESULTSA total of 45 patients presented with IVDA-associated SEAs; 46.5% presented with a neurological deficit. Thirty-one patients underwent surgery for neurological deficit, failure of medical therapy, or both. Nineteen surgical patients underwent a fusion procedure along with decompression. The complication rate was 41.9%, and the mortality rate was 6.7%. The average length of stay was 27.6 days. Patients who underwent surgery within 24 hours of onset of neurological symptoms trended toward more improvement in their American Spinal Cord Association Impairment Scale grade than those who did not (0.5 vs -0.2, p = 0.068). Methicillin-resistant Staphylococcus aureus was isolated as the causative pathogen in 57.8% of patients. Twenty-three patients (51.5%) kept their scheduled clinic follow-up appointments. Of the fusion patients with adequate follow-up, 5 showed bony arthrodesis and 3 had pseudarthrosis. The rate of IVDA-associated SEAs increased after opioid-prescribing restrictions were put in place, from 0.54 cases per month to 1.15 cases per month (p = 0.017).CONCLUSIONSPatients with IVDA-associated SEAs are challenging to treat, with high complication rates and poor follow-up. This disease is increasing in frequency, and opioid-prescribing restrictions did not slow that rise. Community outreach to promote prevention, early medical attention, and medication compliance would benefit this largely publicly funded patient population.
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Affiliation(s)
- Anthony M DiGiorgio
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Rachel Stein
- 2School of Medicine, Edward Via College of Osteopathic Medicine, Spartanburg, South Carolina
| | - Kevin D Morrow
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Jared M Robichaux
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Clifford L Crutcher
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
| | - Gabriel C Tender
- 1Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana; and
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DiGiorgio AM, Mummaneni PV, Park P, Chan AK, Bisson EF, Bydon M, Foley KT, Glassman SD, Shaffrey CI, Potts EA, Shaffrey ME, Coric D, Knightly JJ, Wang MY, Fu KM, Asher AL, Virk MS, Kerezoudis P, Alvi MA, Guan J, Haid RW, Slotkin JR. Correlation of return to work with patient satisfaction after surgery for lumbar spondylolisthesis: an analysis of the Quality Outcomes Database. Neurosurg Focus 2020; 48:E5. [DOI: 10.3171/2020.2.focus191022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 02/07/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVEReturn to work (RTW) and satisfaction are important outcome measures after surgery for degenerative spine disease. The authors queried the prospective Quality Outcomes Database (QOD) to determine if RTW correlated with patient satisfaction.METHODSThe QOD was queried for patients undergoing surgery for degenerative lumbar spondylolisthesis. The primary outcome of interest was correlation between RTW and patient satisfaction, as measured by the North American Spine Society patient satisfaction index (NASS). Secondarily, data on satisfied patients were analyzed to see what patient factors correlated with RTW.RESULTSOf 608 total patients in the QOD spondylolisthesis data set, there were 292 patients for whom data were available on both satisfaction and RTW status. Of these, 249 (85.3%) were satisfied with surgery (NASS score 1–2), and 224 (76.7%) did RTW after surgery. Of the 68 patients who did not RTW after surgery, 49 (72.1%) were still satisfied with surgery. Of the 224 patients who did RTW, 24 (10.7%) were unsatisfied with surgery (NASS score 3–4). There were significantly more people who had an NASS score of 1 in the RTW group than in the non-RTW group (71.4% vs 42.6%, p < 0.05). Failure to RTW was associated with lower level of education, worse baseline back pain (measured with a numeric rating scale), and worse baseline disability (measured with the Oswestry Disability Index [ODI]).CONCLUSIONSThere are a substantial number of patients who are satisfied with surgery even though they did not RTW. Patients who were satisfied with surgery and did not RTW typically had worse preoperative back pain and ODI and typically did not have a college education. While RTW remains an important measure after surgery, physicians should be mindful that patients who do not RTW may still be satisfied with their outcome.
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Affiliation(s)
- Anthony M. DiGiorgio
- 1Department of Neurological Surgery, University of California, San Francisco, California
- 2Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - Praveen V. Mummaneni
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Paul Park
- 3Department of Neurologic Surgery, University of Michigan, Ann Arbor, Michigan
| | - Andrew K. Chan
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Erica F. Bisson
- 4Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Mohamad Bydon
- 5Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Kevin T. Foley
- 6Department of Neurosurgery, University of Tennessee, Memphis, Tennessee
| | | | - Christopher I. Shaffrey
- 8Departments of Neurological Surgery and Orthopedic Surgery, Duke University, Durham, North Carolina
| | - Eric A. Potts
- 9Department of Neurological Surgery, Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Mark E. Shaffrey
- 10Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia
| | - Domagoj Coric
- 11Neuroscience Institute, Carolina Neurosurgery and Spine Associates, Carolinas HealthCare System, Charlotte, North Carolina
| | | | - Michael Y. Wang
- 13Department of Neurological Surgery, University of Miami, Florida
| | - Kai-Ming Fu
- 14Department of Neurological Surgery, Weill Cornell Medical Center, New York, New York
| | - Anthony L. Asher
- 11Neuroscience Institute, Carolina Neurosurgery and Spine Associates, Carolinas HealthCare System, Charlotte, North Carolina
| | - Michael S. Virk
- 14Department of Neurological Surgery, Weill Cornell Medical Center, New York, New York
| | | | - Mohammed Ali Alvi
- 5Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Jian Guan
- 15Pacific Neurosciences Center, Torrance, California
| | - Regis W. Haid
- 16Atlanta Brain and Spine Care, Atlanta, Georgia; and
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Crutcher CL, Wilson JM, DiGiorgio AM, Fannin ES, Shields JA, Morrow KD, Tender GC. Minimally Invasive Management of Civilian Gunshot Wounds to the Lumbar Spine: A Case Series and Technical Report. Oper Neurosurg (Hagerstown) 2020; 19:219-225. [DOI: 10.1093/ons/opaa030] [Citation(s) in RCA: 8] [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] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 01/01/2020] [Indexed: 12/21/2022] Open
Abstract
Abstract
BACKGROUND
Treatment of penetrating gunshot wounds (GSW) to the spine remains controversial. The decision to operate is often based on surgeon preference and experience. We present a case series of 7 patients who underwent minimally invasive thoracolumbar/sacral decompression and bullet removal at a level 1 trauma center.
OBJECTIVE
To describe the use of minimally invasive techniques to achieve decompression and bullet removal for GSW to the spine.
METHODS
From 2010 to 2017, 7 patients with spinal GSW underwent minimally invasive decompression and bullet removal at an academic level 1 trauma center.
RESULTS
Patient ages ranged from 20 to 55 yr (mean: 31 yr). The mechanisms of injury were GSW to the abdomen/pelvis (n = 6) and direct GSW to the spine (n = 1). Based on the neurological examination, the injuries were characterized as complete (n = 1) or incomplete (n = 6). Decompression and bullet removal were performed using a tubular retractor system. All patients with incomplete injuries who had postdischarge follow-up demonstrated some neurologic recovery. There were no postoperative wound infections, cerebrospinal fluid (CSF) fistulas, or other complications related to the procedure.
CONCLUSION
Minimally invasive decompression and bullet removal is a safe technique that may help reduce the risk of postoperative infections and CSF fistulas in patients with GSW to the lumbar spine compared to the standard open technique. This approach appears to be particularly beneficial in patients with incomplete injuries and neuropathic pain refractory to medical treatment.
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Affiliation(s)
- Clifford L Crutcher
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans, Louisiana
| | - John M Wilson
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans, Louisiana
| | - Anthony M DiGiorgio
- Department of Neurosurgery, University of California, San Francisco, San Francisco, California
| | - Erin S Fannin
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans, Louisiana
| | - Jessica A Shields
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans, Louisiana
| | - Kevin D Morrow
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans, Louisiana
| | - Gabriel C Tender
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans, Louisiana
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DiGiorgio AM, Wittenberg BA, Crutcher CL, Kennamer B, Greene CS, Velander AJ, Wilson JD, Tender GC, Culicchia F, Hunt JP. The Impact of Drug and Alcohol Intoxication on Glasgow Coma Scale Assessment in Patients with Traumatic Brain Injury. World Neurosurg 2020; 135:e664-e670. [DOI: 10.1016/j.wneu.2019.12.095] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 12/14/2019] [Accepted: 12/16/2019] [Indexed: 11/25/2022]
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Ammanuel SG, Chan AK, DiGiorgio AM, Alazzeh M, Nwachuku K, Robinson LC, Lobo E, Mummaneni PV. Perioperative Anesthesia Lean Implementation Is Associated With Increased Operative Efficiency in Posterior Cervical Surgeries at a HighVolume Spine Center. Neurospine 2020; 17:390-397. [PMID: 32054140 PMCID: PMC7338954 DOI: 10.14245/ns.1938318.159] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 01/06/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Lean management strategies aim to increase efficiency by eliminating waste or by improving processes to optimize value. The operating room (OR) is an arena where these strategies can be implemented. We assessed changes in OR efficiency after the application of lean methodology on perioperative anesthesia associated with posterior cervical spine surgeries. METHODS We utilized pre- and post-lean study design to identify inefficiencies during the perioperative anesthesia process and implemented strategies to improve the process. Patient characteristics were recorded to assess for differences between the 2 groups (group 1, prelean; group 2, post-lean). In the pre-lean period, key steps in the perioperative anesthesia process were identified that were amenable to lean implementation. The time required for each identified key step was recorded by an independent study coordinator. The times for each step were then compared between the groups utilizing univariate analyses. RESULTS After lean implementation, there was a significant decrease in overall perioperative anesthesia process time (88.4 ± 4.7 minutes vs. 76.2 ± 3.2 minutes, p = 0.04). This was driven by significant decreases in the steps: transport and setup (10.4 ± 0.8 minutes vs. 8.0 ± 0.7 minutes, p = 0.03) and positioning (20.8 ± 2.1 minutes vs. 15.7 ± 1.3 minutes, p = 0.046). Of note, the total time spent in the OR was lower for group 2 (270.1 ± 14.6 minutes vs. 252.8 ± 14.1 minutes) but the result was not statistically significant, even when adjusting for number of operated levels. CONCLUSION Lean methodology may be successfully applied to posterior cervical spine surgery whereby improvements in the perioperative anesthetic process are associated with significantly increased OR efficiency.
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Affiliation(s)
- Simon G Ammanuel
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
| | - Andrew K Chan
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
| | - Anthony M DiGiorgio
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
| | - Mohanad Alazzeh
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Kelechi Nwachuku
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
| | - Leslie C Robinson
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
| | - Errol Lobo
- Department of Anesthesiology, University of California San Francisco, San Francisco, CA, USA
| | - Praveen V Mummaneni
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
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48
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Tender GC, Davidson C, Shields J, Robichaux J, Park J, Crutcher CL, DiGiorgio AM. Primary pain generator identification by CT-SPECT in patients with degenerative spinal disease. Neurosurg Focus 2019; 47:E18. [DOI: 10.3171/2019.9.focus19608] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 09/04/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVEAxial spinal pain generators are difficult to identify using current diagnostic modalities. Merging CT with SPECT (CT-SPECT) scans allows for accurate identification of areas with increased osteoblastic activity, which may reflect pain generators. In this study, the authors aimed to evaluate the degree of pain improvement in patients who underwent surgery, addressing primary pain generators identified by CT-SPECT.METHODSThe authors retrospectively reviewed all patients with chronic axial spine pain who underwent diagnostic CT-SPECT at their institution and analyzed pain improvement in those who underwent surgical treatment in order to determine whether CT-SPECT correctly identified the primary pain generator.RESULTSA total of 315 patients underwent diagnostic CT-SPECT between January 2014 and August 2018. Forty-eight patients underwent either cervical or lumbar fusion; there were 26 women (16 cervical, 10 lumbar) and 22 men (9 cervical, 13 lumbar). The overall axial spinal pain, as assessed through self-reporting of visual analog scale scores at 6 months postoperatively, improved from 9.04 ± 1.4 to 4.34 ± 2.3 (p = 0.026), with cervical fusion patients improving from 8.8 ± 1.8 to 3.92 ± 2.2 (p = 0.019) and lumbar fusion patients improving from 9.35 ± 0.7 to 4.87 ± 2.3 (p = 0.008).CONCLUSIONSCT-SPECT may offer a diagnostic advantage over current imaging modalities in identifying the primary pain generator in patients with axial spinal pain.
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Affiliation(s)
| | | | | | | | - Joe Park
- 2Radiology, Louisiana State University Health Sciences Center, New Orleans, Louisiana
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49
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DiGiorgio AM, Mummaneni PV, Fisher JL, Podet AG, Crutcher CL, Virk MS, Fang Z, Wilson JD, Tender GC, Culicchia F. Change in Policy Allowing Overlapping Surgery Decreases Length of Stay in an Academic, Safety-Net Hospital. Oper Neurosurg (Hagerstown) 2019; 17:543-548. [PMID: 30919890 DOI: 10.1093/ons/opz009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 05/24/2018] [Accepted: 01/30/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The practice of surgeons running overlapping operating rooms has recently come under scrutiny. OBJECTIVE To examine the impact of hospital policy allowing overlapping rooms in the case of patients admitted to a tertiary care, safety-net hospital for urgent neurosurgical procedures. METHODS The neurosurgery service at the hospital being studied transitioned from routinely allowing 1 room per day (period 1) to overlapping rooms (period 2), with the second room being staffed by the same attending surgeon. Patients undergoing neurosurgical intervention in each period were retrospectively compared. Demographics, indication, case type, complications, outcomes, and total charges were tracked. RESULTS There were 59 urgent cases in period 1 and 63 in period 2. In the case of these patients, the length of stay was significantly decreased in period 2 (13.09 d vs 19.52; P = .006). The time from admission to surgery (wait time) was also significantly decreased in period 2 (5.12 d vs 7.00; P = .04). Total charges also trended towards less in period 2 (${\$}$150 942 vs ${\$}$200 075; P = .05). Surgical complications were no different between the groups (16.9% vs 14.3%; P = .59), but medical complications were significantly decreased in period 2 (14.3% vs 30.5%; P = .009). Significantly more patients were discharged to home in period 2 (69.8% vs 42.4%; P = .003). CONCLUSION As a matter of policy, allowing overlapping rooms significantly reduces the length of stay in the case of a vulnerable population in need of urgent surgery at a single safety-net academic institution. This may be due to a reduction in medical complications in these patients.
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Affiliation(s)
- Anthony M DiGiorgio
- Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana.,Department of Neurological Surgery, University of California, San Francisco, California
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Jonathan L Fisher
- School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana.,Department of Neurosurgery, University of Texas Health San Antonio, San Antonio, Texas
| | - Adam G Podet
- Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Clifford L Crutcher
- Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Michael S Virk
- Department of Neurological Surgery, University of California, San Francisco, California.,Department of Neurological Surgery, Weill Cornell Medicine - New York Presbyterian, New York
| | - Zhide Fang
- Department of Biostatistics, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Jason D Wilson
- Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Gabriel C Tender
- Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Frank Culicchia
- Department of Neurosurgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana
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Lau D, DiGiorgio AM, Chan AK, Dalle Ore CL, Virk MS, Chou D, Bisson EF, Mummaneni PV. Applicability of cervical sagittal vertical axis, cervical lordosis, and T1 slope on pain and disability outcomes after anterior cervical discectomy and fusion in patients without deformity. J Neurosurg Spine 2019; 32:23-30. [PMID: 31628295 DOI: 10.3171/2019.7.spine19437] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 04/11/2019] [Accepted: 07/16/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Understanding what influences pain and disability following anterior cervical discectomy and fusion (ACDF) in patients with degenerative cervical spine disease is critical. This study examines the timing of clinical improvement and identifies factors (including spinal alignment) associated with worse outcomes. METHODS Consecutive adult patients were enrolled in a prospective outcomes database from two academic centers participating in the Quality Outcomes Database from 2013 to 2016. Demographics, surgical details, radiographic data, arm and neck pain (visual analog scale [VAS] scores), and disability (Neck Disability Index [NDI] and EQ-5D scores) were reviewed. Multivariate analysis was used. RESULTS A total of 186 patients were included, and 48.4% were male. Their mean age was 55.4 years, and 45.7% had myelopathy. Preoperative cervical sagittal vertical axis (cSVA), cervical lordosis (CL), and T1 slope values were 24.9 mm (range 0-55 mm), 10.4° (range -6.0° to 44°), and 28.3° (range 14.0°-51.0°), respectively. ACDF was performed at 1, 2, and 3 levels in 47.8%, 42.0%, and 10.2% of patients, respectively. Preoperative neck and arm VAS scores were 5.7 and 5.4, respectively. NDI and EQ-5D scores were 22.1 and 0.5, respectively. There was significant improvement in all outcomes at 3 months (p < 0.001) and 12 months (p < 0.001). At 3 months, neck VAS (3.0), arm VAS (2.2), NDI (12.7), and EQ-5D (0.7) scores were improved, and at 12 months, neck VAS (2.8), arm VAS (2.3), NDI (11.7), and EQ-5D (0.8) score improvements were sustained. Improvements occurred within the first 3-month period; there was no significant difference in outcomes between the 3-month and 12-month mark. There was no correlation among cSVA, CL, or T1 slope with any outcome endpoint. The most consistent independent preoperative factors associated with worse outcomes were high neck and arm VAS scores and a severe NDI result (p < 0.001). Similar findings were seen with worse NDI and EQ-5D scores (p < 0.001). A significant linear trend of worse NDI and EQ-5D scores at 3 and 12 months was associated with worse baseline scores. Of the 186 patients, 171 (91.9%) had 3-month follow-up data, and 162 (87.1%) had 12-month follow-up data. CONCLUSIONS ACDF is effective in improving pain and disability, and improvement occurs within 3 months of surgery. cSVA, CL, and T1 slope do not appear to influence outcomes following ACDF surgery in the population with degenerative cervical disease. Therefore, in patients with relatively normal cervical parameters, augmenting alignment or lordosis is likely unnecessary. Worse preoperative pain and disability were independently associated with worse outcomes.
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Affiliation(s)
- Darryl Lau
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Anthony M DiGiorgio
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Andrew K Chan
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Cecilia L Dalle Ore
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Michael S Virk
- 2Department of Neurological Surgery, Cornell University, New York, New York; and
| | - Dean Chou
- 1Department of Neurological Surgery, University of California, San Francisco, California
| | - Erica F Bisson
- 3Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Praveen V Mummaneni
- 1Department of Neurological Surgery, University of California, San Francisco, California
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