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Wu Y, Lv K, Hao X, Lv C, Lai W, Xia X, Pang A, Yuan Q, Song T. Waiting-List and early posttransplant prognosis among ethnoracial groups: Data from the organ procurement and transplantation network. Front Surg 2023; 10:1045363. [PMID: 36793312 PMCID: PMC9923172 DOI: 10.3389/fsurg.2023.1045363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 01/03/2023] [Indexed: 02/03/2023] Open
Abstract
Background Racial/ethnic disparity in waiting-list mortality among candidates listed for kidney transplantation (KT) in the United States remains unclear. We aimed to assess racial/ethnic disparity in waiting-list prognosis among patients listed for KT in the United States in the current era. Methods We compared waiting-list and early posttransplant in-hospital mortality or primary nonfunction (PNF) among adult (age ≥18 years) white, black, Hispanic, and Asian patients listed for only KT in the United States between July 1, 2004 and March 31, 2020. Results Of the 516,451 participants, 45.6%, 29.8%, 17.5%, and 7.1% were white, black, Hispanic, and Asian, respectively. Mortality on the 3-year waiting list (including patients who were removed for deterioration) was 23.2%, 16.6%, 16.2%, and 13.8% in white, black, Hispanic, and Asian patients, respectively. The cumulative incidence of posttransplant in-hospital death or PNF after KT was 3.3%, 2.5%, 2.4%, and 2.2% in black, white, Hispanic, and Asian patients,respectively. White candidates had the highest mortality risk on the waiting list or of becoming too sick for a transplant, while black (adjusted hazard ratio, [95% confidence interval, CI], 0.67 [0.66-0.68]), Hispanic (0.59 [0.58-0.60]), and Asian (0.54 [0.52-0.55]) candidates had a lower risk. Black KT recipients (odds ratio, [95% CI] 1.29 [1.21-1.38]) had a higher risk of PNF or death before discharge than white patients. After controlling confounders, black recipients (0.99 [0.92-1.07]) had a similar higher risk of posttransplant in-hospital mortality or PNF as white patients than Hispanic and Asian counterparts. Conclusions Despite having a better socioeconomic status and being allocated better kidneys, white patients had the worst prognosis during the waiting periods. Black recipients and white recipients have higher posttransplant in-hospital mortality or PNF.
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Affiliation(s)
- Yangyang Wu
- Department of Urology, The Third Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China,Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China
| | - Kaikai Lv
- Department of Urology, The Third Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China,Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China
| | - Xiaowei Hao
- Department of Urology, The Third Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China,Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China
| | - Chao Lv
- Department of Urology, The Third Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China,Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China
| | - Wenhui Lai
- Graduate School, Hebei North University, Zhangjiakou, China
| | - Xinze Xia
- Graduate School, Shanxi Medical University, Taiyuan, China
| | - Aibo Pang
- Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China
| | - Qing Yuan
- Department of Urology, The Third Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China,Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China,Correspondence: Tao Song Qing Yuan
| | - Tao Song
- Department of Urology, The Third Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China,Graduate School, Medical School of Chinese People's Liberation Army (PLA), Beijing, China,Correspondence: Tao Song Qing Yuan
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2
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Pavlakis M. Continuous Distribution in Organ Allocation: Stepping Back From the Edge. Transplantation 2021; 105:2517-2519. [PMID: 34310098 DOI: 10.1097/tp.0000000000003886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Martha Pavlakis
- Department of Medicine and Transplant Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
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3
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Krissberg JR, Kaufmann MB, Gupta A, Bendavid E, Stedman M, Cheng XS, Tan JC, Grimm PC, Chaudhuri A. Racial Disparities in Pediatric Kidney Transplantation under the New Kidney Allocation System in the United States. Clin J Am Soc Nephrol 2021; 16:1862-1871. [PMID: 34670797 PMCID: PMC8729489 DOI: 10.2215/cjn.06740521] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 09/14/2021] [Accepted: 09/27/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND OBJECTIVES In December 2014, the Kidney Allocation System (KAS) was implemented to improve equity in access to transplantation, but preliminary studies in children show mixed results. Thus, we aimed to assess how the 2014 KAS policy change affected racial and ethnic disparities in pediatric kidney transplantation access and related outcomes. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We performed a retrospective cohort study of children <18 years of age active on the kidney transplant list from 2008 to 2019 using the Scientific Registry of Transplant Recipients. Log-logistic accelerated failure time models were used to determine the time from first activation on the transplant list and the time on dialysis to deceased donor transplant, each with KAS era or race and ethnicity as the exposure of interest. We used logistic regression to assess odds of delayed graft function. Log-rank tests assessed time to graft loss within racial and ethnic groups across KAS eras. RESULTS All children experienced longer wait times from activation to transplantation post-KAS. In univariable analysis, Black and Hispanic children and other children of color experienced longer times from activation to transplant compared with White children in both eras; this finding was largely attenuated after multivariable analysis (time ratio, 1.16; 95% confidence interval, 1.01 to 1.32; time ratio, 1.13; 95% confidence interval, 1.00 to 1.28; and time ratio, 1.17; 95% confidence interval, 0.96 to 1.41 post-KAS, respectively). Multivariable analysis also showed that racial and ethnic disparities in time from dialysis initiation to transplantation in the pre-KAS era were mitigated in the post-KAS era. There were no disparities in odds of delayed graft function. Black and Hispanic children experienced longer times with a functioning graft in the post-KAS era. CONCLUSIONS No racial and ethnic disparities from activation to deceased donor transplantation were seen before or after implementation of the KAS in multivariable analysis, whereas time on dialysis to transplantation and odds of short-term graft loss improved in equity after the implementation of the KAS, without compromising disparities in delayed graft function. PODCAST This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2021_12_07_CJN06740521.mp3.
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Affiliation(s)
- Jill R. Krissberg
- Department of Pediatrics, Division of Nephrology, Northwestern University Feinberg School of Medicine, Chicago, Illinois,Department of Nephrology, Ann & Robert H. Lurie Children’s Hospital, Chicago, Illinois
| | - Matthew B. Kaufmann
- Stanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Anshal Gupta
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Eran Bendavid
- Stanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Margaret Stedman
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Xingxing S. Cheng
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Jane C. Tan
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Paul C. Grimm
- Department of Pediatrics, Division of Nephrology, Stanford University School of Medicine, Stanford, California
| | - Abanti Chaudhuri
- Department of Pediatrics, Division of Nephrology, Stanford University School of Medicine, Stanford, California
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4
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Hodges TR, Labak CM, Mahajan UV, Wright CH, Wright J, Cioffi G, Gittleman H, Herring EZ, Zhou X, Duncan K, Kruchko C, Sloan AE, Barnholtz-Sloan JS. Impact of race on care, readmissions, and survival for patients with glioblastoma: an analysis of the National Cancer Database. Neurooncol Adv 2021; 3:vdab040. [PMID: 33959715 PMCID: PMC8086235 DOI: 10.1093/noajnl/vdab040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background The objective of this study was to explore racial/ethnic factors that may be associated with survival in patients with glioblastoma by querying the National Cancer Database (NCDB). Methods The NCDB was queried for patients diagnosed with glioblastoma between 2004 and 2014. Patient demographic variables included age at diagnosis, sex, race, ethnicity, Charlson-Deyo score, insurance status, and rural/urban/metropolitan location of zip code. Treatment variables included surgical treatment, extent of resection, chemotherapy, radiation therapy, type of radiation, and treatment facility type. Outcomes included 30-day readmission, 30- and 90-day mortality, and overall survival. Multivariable Cox regression analyses were performed to evaluate variables associated with race and overall survival. Results A total of 103 652 glioblastoma patients were identified. There was a difference in the proportion of patients for whom surgery was performed, as well as the proportion receiving radiation, when stratified by race (P < .001). Black non-Hispanics had the highest rates of unplanned readmission (7.6%) within 30 days (odds ratio [OR]: 1.39 compared to White non-Hispanics, P < .001). Asian non-Hispanics had the lowest 30- (3.2%) and 90-day mortality (9.8%) when compared to other races (OR: 0.52 compared to White non-Hispanics, P = .031). Compared to White non-Hispanics, we found Black non-Hispanics (hazard ratio [HR]: 0.88, P < .001), Asian non-Hispanics (HR: 0.72, P < .001), and Hispanics (HR: 0.69, P < .001) had longer overall survival. Conclusions Differences in treatment and outcomes exist between races. Further studies are needed to elucidate the etiology of these race-related disparities and to improve outcomes for all patients.
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Affiliation(s)
- Tiffany R Hodges
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA.,Seidman Cancer Center and Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Collin M Labak
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Uma V Mahajan
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Christina Huang Wright
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - James Wright
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Gino Cioffi
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Haley Gittleman
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.,Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Eric Z Herring
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xiaofei Zhou
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Kelsey Duncan
- Department of Neurology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Andrew E Sloan
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA.,Seidman Cancer Center and Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Jill S Barnholtz-Sloan
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.,Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
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5
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Samoylova ML, Shaw BI, Irish W, McElroy LM, Connor AA, Barbas AS, Sanoff S, Ravindra KV. Decreased graft loss following implementation of the kidney allocation score (KAS). Am J Surg 2020; 220:1278-1283. [PMID: 32951852 DOI: 10.1016/j.amjsurg.2020.06.061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/19/2020] [Accepted: 06/25/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND The Kidney Allocation System (KAS) was developed to improve equity and utility in organ allocation. We examine the effect of this change on kidney graft distribution and survival. METHODS UNOS data was used to identify first-time adult recipients of a deceased donor kidney-alone transplant pre-KAS (Jan 2012-Dec 2014, n = 26,612) and post-KAS (Jan 2015-Dec 2017, n = 30,701), as well as grafts recovered Jan 2012-Jun 2019. RESULTS Post-KAS, kidneys were more likely to experience cold ischemia time >24 h (20.0% vs. 18.8%, p < 0.001) and experienced more delayed graft function, though competing risks modeling demonstrated a lower hazard of graft loss post-KAS, HR 0.90 (95% CI 0.84-0.97, p = 0.007). Post-policy, KDPI >85% kidneys were more likely to be shared regionally (37% vs. 14%), and more likely to be discarded (60.6% vs. 54.9%) after the policy change. KDPI >85% graft and patient survival did not change. CONCLUSIONS Implementation of the KAS has increased sharing of high-KDPI kidneys and has decreased the hazard of graft loss without an impact on patient survival.
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Affiliation(s)
- Mariya L Samoylova
- Surgery, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
| | - Brian I Shaw
- Surgery, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
| | - William Irish
- School of Medicine, East Carolina University, Brody School of Medicine at East Carolina University, 600 Moye Boulevard, Greenville, NC, 27834, USA.
| | - Lisa M McElroy
- Surgery, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
| | - Ashton A Connor
- Surgery, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
| | - Andrew S Barbas
- Surgery, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
| | - Scott Sanoff
- Medicine, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
| | - Kadiyala V Ravindra
- Surgery, Duke University, 330 Trent Drive, DUMC 3512, Durham, NC, 27710, USA.
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6
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Kim DW, Tsapepas D, King KL, Husain SA, Corvino FA, Dillon A, Wang W, Mayne TJ, Mohan S. Financial impact of delayed graft function in kidney transplantation. Clin Transplant 2020; 34:e14022. [PMID: 32573812 DOI: 10.1111/ctr.14022] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/09/2020] [Accepted: 06/16/2020] [Indexed: 11/28/2022]
Abstract
Increased utilization of suboptimal organs in response to organ shortage has resulted in increased incidence of delayed graft function (DGF) after transplantation. Although presumed increased costs associated with DGF are a deterrent to the utilization of these organs, the financial burden of DGF has not been established. We used the Premier Healthcare Database to conduct a retrospective analysis of healthcare resource utilization and costs in kidney transplant patients (n = 12 097) between 1/1/2014 and 12/31/2018. We compared cost and hospital resource utilization for transplants in high-volume (n = 8715) vs low-volume hospitals (n = 3382), DGF (n = 3087) vs non-DGF (n = 9010), and recipients receiving 1 dialysis (n = 1485) vs multiple dialysis (n = 1602). High-volume hospitals costs were lower than low-volume hospitals ($103 946 vs $123 571, P < .0001). DGF was associated with approximately $18 000 (10%) increase in mean costs ($130 492 vs $112 598, P < .0001), 6 additional days of hospitalization (14.7 vs 8.7, P < .0001), and 2 additional ICU days (4.3 vs 2.1, P < .0001). Multiple dialysis sessions were associated with an additional $10 000 compared to those with only 1. In conclusion, DGF is associated with increased costs and length of stay for index kidney transplant hospitalizations and payment schemes taking this into account may reduce clinicians' reluctance to utilize less-than-ideal kidneys.
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Affiliation(s)
- Daniel W Kim
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA.,Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Demetra Tsapepas
- Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Surgery, Division of Transplantation, Columbia University Medical Center, New York, NY, USA.,Department of Analytics, New York Presbyterian Hospital, New York, NY, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA.,Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA.,Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | | | | | | | | | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA.,Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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