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Baird CE, Wulff-Burchfield E, Egan PC, Hugar LA, Vyas A, Trikalinos NA, Liu MA, Olszewski AJ, Bantis LE, Panagiotou OA, Bélanger E. Predictors and Drivers of End-of-Life Medicare Spending Among Older Adults with Solid Tumors: A Population-Based Study. Cancers (Basel) 2025; 17:1016. [PMID: 40149350 PMCID: PMC11941710 DOI: 10.3390/cancers17061016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Revised: 02/20/2025] [Accepted: 02/25/2025] [Indexed: 03/29/2025] Open
Abstract
High-intensity end-of-life (EoL) care for patients with cancer often includes multiple transitions to the hospital and intensive care unit (ICU) and is associated with adverse outcomes, such as declines in patient functional abilities [...].
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Affiliation(s)
- Courtney E. Baird
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI 02903, USA
| | - Elizabeth Wulff-Burchfield
- Medical Oncology Division and Palliative Medicine Division, Department of Internal Medicine, University of Kansas School of Medicine, University of Kansas Cancer Center, The University of Kansas Health System, Kansas City, KS 66160, USA
| | - Pamela C. Egan
- Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Lee A. Hugar
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Ami Vyas
- Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI 02881, USA
| | - Nikolaos A. Trikalinos
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Siteman Cancer Center, St. Louis, MO 63110, USA
| | - Michael A. Liu
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA
| | - Adam J. Olszewski
- Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Leonidas E. Bantis
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Orestis A. Panagiotou
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI 02903, USA
| | - Emmanuelle Bélanger
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI 02903, USA
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Jordan RI, Allsop MJ, ElMokhallalati Y, Jackson CE, Edwards HL, Chapman EJ, Deliens L, Bennett MI. Duration of palliative care before death in international routine practice: a systematic review and meta-analysis. BMC Med 2020; 18:368. [PMID: 33239021 PMCID: PMC7690105 DOI: 10.1186/s12916-020-01829-x] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/27/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Early provision of palliative care, at least 3-4 months before death, can improve patient quality of life and reduce burdensome treatments and financial costs. However, there is wide variation in the duration of palliative care received before death reported across the research literature. This study aims to determine the duration of time from initiation of palliative care to death for adults receiving palliative care across the international literature. METHODS We conducted a systematic review and meta-analysis that was registered with PROSPERO (CRD42018094718). Six databases were searched for articles published between Jan 1, 2013, and Dec 31, 2018: MEDLINE, Embase, CINAHL, Global Health, Web of Science and The Cochrane Library, as well undertaking citation list searches. Following PRISMA guidelines, articles were screened using inclusion (any study design reporting duration from initiation to death in adults palliative care services) and exclusion (paediatric/non-English language studies, trials influencing the timing of palliative care) criteria. Quality appraisal was completed using Hawker's criteria and the main outcome was the duration of palliative care (median/mean days from initiation to death). RESULTS One hundred sixty-nine studies from 23 countries were included, involving 11,996,479 patients. Prior to death, the median duration from initiation of palliative care to death was 18.9 days (IQR 0.1), weighted by the number of participants. Significant differences between duration were found by disease type (15 days for cancer vs 6 days for non-cancer conditions), service type (19 days for specialist palliative care unit, 20 days for community/home care, and 6 days for general hospital ward) and development index of countries (18.91 days for very high development vs 34 days for all other levels of development). Forty-three per cent of studies were rated as 'good' quality. Limitations include a preponderance of data from high-income countries, with unclear implications for low- and middle-income countries. CONCLUSIONS Duration of palliative care is much shorter than the 3-4 months of input by a multidisciplinary team necessary in order for the full benefits of palliative care to be realised. Furthermore, the findings highlight inequity in access across patient, service and country characteristics. We welcome more consistent terminology and methodology in the assessment of duration of palliative care from all countries, alongside increased reporting from less-developed settings, to inform benchmarking, service evaluation and quality improvement.
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Affiliation(s)
- Roberta I Jordan
- Academic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Matthew J Allsop
- Academic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
| | - Yousuf ElMokhallalati
- Academic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Catriona E Jackson
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK
| | - Helen L Edwards
- Academic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Emma J Chapman
- Academic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Luc Deliens
- End-of-Life Care Research Group, Ghent University, Ghent, Belgium.,Vrije Universiteit Brussel, Brussels, Belgium
| | - Michael I Bennett
- Academic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
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Herrel LA, Zhu Z, Griggs JJ, Kaye DR, Dupree JM, Ellimoottil CS, Miller DC. Association Between Delivery System Structure and Intensity of End-of-Life Cancer Care. JCO Oncol Pract 2020; 16:e590-e600. [PMID: 32069191 DOI: 10.1200/jop.19.00667] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE To determine whether the type of delivery system is associated with intensity of care at the end of life for Medicare beneficiaries with cancer. PATIENTS AND METHODS We used SEER registry data linked with Medicare claims to evaluate intensity of end-of-life care for patients who died of one of ten common cancers diagnosed from 2009 through 2014. Patients were categorized as receiving the majority of their care in an integrated delivery system, designated cancer center, health system that was both integrated and a certified cancer center, or health system that was neither. We evaluated adherence to seven nationally endorsed end-of-life quality measures using generalized linear models across four delivery system types. RESULTS Among 100,549 beneficiaries who died of cancer during the study interval, we identified only modest differences in intensity of end-of-life care across delivery system structures. Health systems with no cancer center or integrated affiliation demonstrated higher proportions of patients with multiple hospitalizations in the last 30 days of life (11.3%), death in an acute care setting (25.9%), and lack of hospice use in the last year of life (31.6%; all P < .001). Patients enrolled in hospice had lower intensity care across multiple end-of-life quality measures. CONCLUSION Intensity of care at the end of life for patients with cancer was higher at delivery systems with no integration or cancer focus. Maximal supportive care delivered through hospice may be one avenue to reduce high-intensity care at the end of life and may impact quality of care for patients dying from cancer.
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Affiliation(s)
- Lindsey A Herrel
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
| | - Ziwei Zhu
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
| | - Jennifer J Griggs
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
| | - Deborah R Kaye
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
| | - James M Dupree
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
| | - Chandy S Ellimoottil
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
| | - David C Miller
- The University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI
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Berg GD, Gurley VF. Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients. BMJ Open 2019; 9:e022935. [PMID: 31315852 PMCID: PMC6661632 DOI: 10.1136/bmjopen-2018-022935] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries. DATA SOURCE The Centres for Medicare & Medicaid Services' Limited Data Set files containing the five per cent samples for 2014 and 2015. PARTICIPANTS The data analysed contains de-identified administrative claims information at the beneficiary level, including diagnoses, procedures and demographics for 2.7 million beneficiaries. SETTING US national sample of Medicare beneficiaries. STUDY DESIGN Eleven different models were used to predict 15-month mortality risk: logistic regression (using both stepwise and least absolute shrinkage and selection operator (LASSO) selection of variables as well as models using an age gender baseline, Charlson scores, Charlson conditions, Elixhauser conditions and all variables), naïve Bayes, decision tree with adaptive boosting, neural network and support vector machines (SVMs) validated by simple cross validation. Updated Charlson score weights were generated from the predictive model using only Charlson conditions. PRIMARY OUTCOME MEASURE C-statistic. RESULTS The c-statistics was 0.696 for the naïve Bayes model and 0.762 for the decision tree model. For models that used the Charlson score or the Charlson variables the c-statistic was 0.713 and 0.726, respectively, similar to the model using Elixhauser conditions of 0.734. The c-statistic for the SVM model was 0.788 while the four models that performed the best were the logistic regression using all variables, logistic regression after selection of variables by the LASSO method, the logistic regression using a stepwise selection of variables and the neural network with c-statistics of 0.798, 0.798, 0.797 and 0.795, respectively. CONCLUSIONS Improved means for identifying individuals in the last 15 months of life is needed to improve the patient experience of care and reducing the per capita cost of healthcare. This study developed and validated a predictive model for 15-month mortality with higher generalisability than previous administrative claims-based studies.
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Paredes AZ, Hyer JM, Tsilimigras DI, Mehta R, Sahara K, White S, Dillhoff ME, Ejaz A, Cloyd JM, Pawlik TM. Hospice utilization among Medicare beneficiaries dying from pancreatic cancer. J Surg Oncol 2019; 120:624-631. [PMID: 31290170 DOI: 10.1002/jso.25623] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 06/21/2019] [Indexed: 01/23/2023]
Abstract
BACKGROUND Use of hospice services among patients with pancreatic cancer following pancreatic resection remains unknown. METHODS Patients with pancreatic cancer who underwent resection were identified in the Medicare Standard Analytic Files. Outcomes included overall hospice use, early hospice enrollment (≥4 weeks before death), late hospice enrollment (initiation within 3 days of death), and Medicare expenditures. RESULTS Among the 4369 deceased individuals, three-fourths of patients (n = 3252, 74.4%) used hospice at the time of death. Patients who did not use hospice were more likely to be male, have a complication on index admission and receive life sustaining treatments on subsequent admissions (P < .05). Only one-third (32.2%) of patients initiated hospice services early. Medicare expenditure during the last month of life was $10 000 lower among patients who initialized hospice services at least 1 month before death versus within 3 days of death (late: $10 581 [$5454-$17 200], early: $221 [$46-$733]; P < .001) CONCLUSION: While three-fourths of patients utilized hospice services after pancreatic resection, only one-third of patients initiated hospice services at least one-month before death. Late hospice use was associated with higher Medicare expenditures during the last month of life. Further research is needed to understand barriers to early hospice utilization.
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Affiliation(s)
- Anghela Z Paredes
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - J Madison Hyer
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Diamantis I Tsilimigras
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Rittal Mehta
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Kota Sahara
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Susan White
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Mary E Dillhoff
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Aslam Ejaz
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Jordan M Cloyd
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
| | - Timothy M Pawlik
- Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio.,Division of Health Information Management and Systems, The Ohio State Wexner Medical Center, The Ohio State University, Columbus, Ohio
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Shinall MC, Wilson JE, Karlekar M, Ely EW. Facility Placement as a Barrier to Hospice for Older Adult Patients Discharged From a Palliative Care Unit. Am J Hosp Palliat Care 2018; 36:93-96. [PMID: 30064237 DOI: 10.1177/1049909118791149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
CONTEXT: Many older adults discharged from an inpatient stay require postacute facility placement, which can be a barrier to hospice enrollment since the Medicare hospice benefit does not cover facility costs for patients under routine hospice care. OBJECTIVES: To evaluate the extent to which need for postdischarge facility care was a barrier to hospice enrollment for older patients with short life expectancy discharged from a palliative care unit. METHODS: Retrospective cohort using a prospectively collected database of patients 65 and older with a life expectancy of <6 months admitted to a palliative care unit in an urban, academic medical center and discharged alive from 2012 to 2017. Primary outcome was hospice enrollment at hospital discharge. Exposure of interest was need for facility placement at discharge. RESULTS: Of 817 included patients, 649 (79%) were discharged with hospice. Patients discharged home had a significantly higher rate of hospice enrollment than patients discharged to a facility-92% versus 71% ( P < .0001). On multivariate logistic regression analysis, discharge to home versus facility remained a strong predictor of hospice enrollment, with an odds ratio for hospice enrollment of 6.04 (95% confidence interval: 3.73-9.79). CONCLUSION: Need for postdischarge facility placement represents a barrier for hospice enrollment among older patients who are otherwise hospice appropriate. The structure of the hospice benefit may require modification so that these hospice appropriate patients can utilize the benefit.
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Affiliation(s)
- Myrick C Shinall
- 1 Section of Palliative Care, Vanderbilt University Medical Center, Nashville, TN, USA.,2 Division of General Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jo Ellen Wilson
- 3 Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mohana Karlekar
- 1 Section of Palliative Care, Vanderbilt University Medical Center, Nashville, TN, USA
| | - E Wesley Ely
- 4 Division of Allergy, Pulmonology, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,5 Tennessee Valley Veteran's Affairs Geriatrics Research Education Clinical Center (GRECC), Nashville, TN, USA
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Wachterman MW, Hailpern SM, Keating NL, Kurella Tamura M, O'Hare AM. Association Between Hospice Length of Stay, Health Care Utilization, and Medicare Costs at the End of Life Among Patients Who Received Maintenance Hemodialysis. JAMA Intern Med 2018; 178:792-799. [PMID: 29710217 PMCID: PMC5988968 DOI: 10.1001/jamainternmed.2018.0256] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
IMPORTANCE Patients with end-stage renal disease are less likely to use hospice services than other patients with advanced chronic illness. Little is known about the timing of hospice referral in this population and its association with health care utilization and costs. OBJECTIVE To examine the association between hospice length of stay and health care utilization and costs at the end of life among Medicare beneficiaries who had received maintenance hemodialysis. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional observational study was conducted via the United States Renal Data System registry. Participants were all 770 191 hemodialysis patients in the registry who were enrolled in fee-for-service Medicare and died between January 1, 2000, and December 31, 2014. The dates of analysis were April 2016 to December 2017. MAIN OUTCOMES AND MEASURES Hospital admission, intensive care unit (ICU) admission, and receipt of an intensive procedure during the last month of life; death in the hospital; and costs to the Medicare program in the last week of life. RESULTS Among 770 191 patients, the mean (SD) age was 74.8 (11.0) years, and 53.7% were male. Twenty percent of cohort members were receiving hospice services when they died. Of these, 41.5% received hospice for 3 days or fewer. In adjusted analyses, compared with patients who did not receive hospice, those enrolled in hospice for 3 days or fewer were less likely to die in the hospital (13.5% vs 55.1%; P < .001) or to undergo an intensive procedure in the last month of life (17.7% vs 31.6%; P < .001) but had higher rates of hospitalization (83.6% vs 74.4%; P < .001) and ICU admission (54.0% vs 51.0%; P < .001) and similar Medicare costs in the last week of life ($10 756 vs $10 871; P = .08). Longer lengths of stay in hospice beyond 3 days were associated with progressively lower rates of utilization and costs, especially for those referred more than 15 days before death (35.1% hospitalized and 16.7% admitted to an ICU in the last month of life; the mean Medicare costs in the last week of life were $3221). CONCLUSIONS AND RELEVANCE Overall, 41.5% of hospice enrollees who had been treated with hemodialysis for their end-stage renal disease entered hospice within 3 days of death. Although less likely to die in the hospital and to receive an intensive procedure, these patients were more likely than those not enrolled in hospice to be hospitalized and admitted to the ICU, and they had similar Medicare costs. Without addressing barriers to more timely referral, greater use of hospice may not translate into meaningful changes in patterns of health care utilization, costs, and quality of care at the end of life in this population.
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Affiliation(s)
- Melissa W Wachterman
- Section of General Internal Medicine, Veterans Affairs Boston Healthcare System, Boston, Massachusetts.,Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Susan M Hailpern
- Division of Nephrology, Kidney Research Institute, Department of Medicine, University of Washington, Seattle
| | - Nancy L Keating
- Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Manjula Kurella Tamura
- Division of Nephrology, Department of Medicine, Stanford University, Palo Alto, California.,Geriatric Research and Education Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Ann M O'Hare
- Division of Nephrology, Kidney Research Institute, Department of Medicine, University of Washington, Seattle.,Hospital and Specialty Medical Service, Veterans Affairs Puget Sound Health Care System, Seattle, Washington
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Abstract
The economic burden of cancer on the national health expenditure is billions of dollars. The economic cost is measured on direct and indirect medical costs, which vary depending on stage at diagnosis, patient age, type of medical services, and site of service. Costs vary by region, physician behavior, and patient preferences. When analyzing the economic burden of survivors of colon cancer, we cannot forget the societal burden. Post-acute care and readmissions are major economic burdens. People with colon cancer have to be followed for their lifetime. Economic models are being studied to give cost-effective solutions to this problem.
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Affiliation(s)
- Guy R Orangio
- LSU Department of Surgery, 1542 Tulane Avenue, Suite 758, New Orleans, LA 70112, USA.
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