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King KL, Yu M, Huml AM, Schold JD, Husain SA, Mohan S. Allocation and Utilization Patterns of Deceased Donor Kidneys for Preemptive Transplantation in the United States. J Am Soc Nephrol 2024; 35:642-645. [PMID: 38284887 DOI: 10.1681/asn.0000000000000317] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/20/2024] [Indexed: 01/30/2024] Open
Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Anne M Huml
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Jesse D Schold
- Department of Surgery, University of Colorado - Anschutz Medical Campus, Aurora, Colorado
- Department of Epidemiology, School of Public Health, University of Colorado - Anschutz Medical Campus, Aurora, Colorado
| | - Syed Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Yu M, King KL, Maclay LM, Husain SA, Schold JD, Mohan S. Incomplete reporting of clinically significant acute rejection episodes in the national kidney transplant registry. Am J Transplant 2024:S1600-6135(24)00277-6. [PMID: 38636806 DOI: 10.1016/j.ajt.2024.04.006] [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: 12/12/2023] [Revised: 04/09/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
Administrative claims data could provide a unique opportunity to identify acute rejection (AR) events using specific antirejection medications and to validate rejected data reported to the Organ Procurement and Transplantation Network. This retrospective cohort study examined differences in registry-reported events and those identified using claims data among adult kidney transplant recipients from 2012 to 2017 using Standard Analysis Files from the US Renal Data System. Rejection rates, survival estimates, and center-level differences were assessed using each approach. Among 45 880 first-time kidney transplant recipients, we identified 3841 AR events within 12 months of transplant reported by centers in the registry; claims data yielded 2945 events. Of all events occurring within 12 months of transplant, 48.5% were reported using registry only, 32.9% were identified using claims only, and 18.6% were identified using both approaches. A 3-year death-censored graft survival probability was 90.0%, 88.4%, and 81.2% (P < .001) for ARs identified using registry only, claims data only, and both approaches, respectively. The large discordance between registry-reported and claims-based events suggests incomplete and potentially inaccurate reporting of events in the Organ Procurement Transplant Network registry. These findings have important implications for analyses that use AR data and underscore the need for improved capture of clinically meaningful events.
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Affiliation(s)
- Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Lindsey M Maclay
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Jesse D Schold
- Department of Surgery, University of Colorado - Anschutz Medical Campus, Aurora, Colorado, USA; Department of Epidemiology, School of Public Health, University of Colorado - Anschutz Medical Campus, Aurora, Colorado, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA; Columbia University Renal Epidemiology Group, New York, New York, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
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Yu M, King KL, Husain SA, Schold JD, Mohan S. Use of Offer Bypass Filters Under the Updated Kidney Allocation System. Kidney360 2024:02200512-990000000-00367. [PMID: 38568866 DOI: 10.34067/kid.0000000000000423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 03/19/2024] [Indexed: 04/05/2024]
Affiliation(s)
- Miko Yu
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY
- Columbia University Renal Epidemiology Group, New York, NY
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY
- Columbia University Renal Epidemiology Group, New York, NY
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY
- Columbia University Renal Epidemiology Group, New York, NY
| | - Jesse D Schold
- Department of Surgery, University of Colorado - Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, School of Public Health, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY
- Columbia University Renal Epidemiology Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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Husain SA, Khanna S, Yu M, Adler JT, Cron DC, King KL, Schold JD, Mohan S. Cold Ischemia Time and Delayed Graft Function in Kidney Transplantation: A Paired Kidney Analysis. Transplantation 2024:00007890-990000000-00713. [PMID: 38557641 DOI: 10.1097/tp.0000000000005006] [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] [Indexed: 04/04/2024]
Abstract
BACKGROUND We aimed to understand the association between cold ischemia time (CIT) and delayed graft function (DGF) after kidney transplantation and the impact of organ pumping on that association. METHODS Retrospective cohort study using US registry data. We identified kidney pairs from the same donor where both kidneys were transplanted but had a CIT difference >0 and ≤20 h. We determined the frequency of concordant (both kidneys with/without DGF) or discordant (only 1 kidney DGF) DGF outcomes. Among discordant pairs, we computed unadjusted and adjusted relative risk of DGF associated with longer-CIT status, when then repeated this analysis restricted to pairs where only the longer-CIT kidney was pumped. RESULTS Among 25 831 kidney pairs included, 71% had concordant DGF outcomes, 16% had only the longer-CIT kidney with DGF, and 13% had only the shorter-CIT kidney with DGF. Among discordant pairs, longer-CIT status was associated with a higher risk of DGF in unadjusted and adjusted models. Among pairs where only the longer-CIT kidney was pumped, longer-CIT kidneys that were pumped had a lower risk of DGF than their contralateral shorter-CIT kidneys that were not pumped regardless of the size of the CIT difference. CONCLUSIONS Most kidney pairs have concordant DGF outcomes regardless of CIT difference, but even small increases in CIT raise the risk of DGF. Organ pumping may mitigate and even overcome the adverse consequences of prolonged CIT on the risk of DGF, but prospective studies are needed to better understand this relationship.
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Affiliation(s)
- Syed Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology Group, New York, NY
| | - Sohil Khanna
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, NY
| | - Miko Yu
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology Group, New York, NY
| | - Joel T Adler
- Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, TX
| | - David C Cron
- Department of Surgery, Massachusetts General Hospital, Boston, MA
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology Group, New York, NY
| | - Jesse D Schold
- Department of Surgery, University of Colorado-Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, CO
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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Emmons BR, Batal I, King KL, Yu M, Canetta PA, Sandoval PR, Mohan S, Tsapepas D, Adler JT, Ratner LE, Husain SA. Association of Implantation Biopsy Findings in Living Donor Kidneys With Donor and Recipient Outcomes. Am J Kidney Dis 2024; 83:306-317. [PMID: 37879529 PMCID: PMC10922703 DOI: 10.1053/j.ajkd.2023.08.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/31/2023] [Accepted: 08/28/2023] [Indexed: 10/27/2023]
Abstract
RATIONALE & OBJECTIVE Some living donor kidneys are found to have biopsy evidence of chronic scarring and/or glomerular disease at implantation, but it is unclear if these biopsy findings help predict donor kidney recovery or allograft outcomes. Our objective was to identify the prevalence of chronic histological changes and glomerular disease in donor kidneys, and their association with donor and recipient outcomes. STUDY DESIGN Retrospective cohort study. SETTING & PARTICIPANTS Single center, living donor kidney transplants from January 2010 to July 2022. EXPOSURE Chronic histological changes, glomerular disease in donor kidney implantation biopsies. OUTCOME For donors, single-kidney estimated glomerular filtration rate (eGFR) increase, percent total eGFR loss, ≥40% eGFR decline from predonation baseline, and eGFR<60mL/min/1.73m2 at 6 months after donation; for recipients, death-censored allograft survival. ANALYTICAL APPROACH Biopsies were classified as having possible glomerular disease by pathologist diagnosis or chronic changes based on the percentage of glomerulosclerosis, interstitial fibrosis/tubular atrophy, and vascular disease. We used logistic regression to identify factors associated with the presence of chronic changes, linear regression to identify the association between chronic changes and single-kidney estimated glomerular filtration rate (eGFR) recovery, and time-to-event analyses to identify the relationship between abnormal biopsy findings and allograft outcomes. RESULTS Among 1,104 living donor kidneys, 155 (14%) had advanced chronic changes on implantation biopsy, and 12 (1%) had findings suggestive of possible donor glomerular disease. Adjusted logistic regression showed that age (odds ratio [OR], 2.44 per 10 years [95% CI, 1.98-3.01), Hispanic ethnicity (OR, 1.87 [95% CI, 1.15-3.05), and hypertension (OR, 1.92 [95% CI, 1.01-3.64), were associated with higher odds of chronic changes on implantation biopsy. Adjusted linear regression showed no association of advanced chronic changes with single-kidney eGFR increase or relative risk of eGFR<60mL/min/1.73m2. There were no differences in time-to-death-censored allograft failure in unadjusted or adjusted Cox proportional hazards models when comparing kidneys with chronic changes to kidneys without histological abnormalities. LIMITATIONS Retrospective, absence of measured GFR. CONCLUSIONS Approximately 1 in 7 living donor kidneys had chronic changes on implantation biopsy, primarily in the form of moderate vascular disease, and 1% had possible donor glomerular disease. Abnormal implantation biopsy findings were not significantly associated with 6-month donor eGFR outcomes or allograft survival. PLAIN-LANGUAGE SUMMARY Kidney biopsies are the gold standard test to identify the presence or absence of kidney disease. However, kidneys donated by healthy living donors-who are extensively screened for any evidence of kidney disease before donation-occasionally show findings that might be considered "abnormal," including the presence of scarring in the kidney or findings suggestive of a primary kidney disease. We studied the frequency of abnormal kidney biopsy findings among living donors at our center. We found that about 14% of kidneys had chronic abnormalities and 1% had findings suggesting possible glomerular kidney disease, but the presence of abnormal biopsy findings was not associated with worse outcomes for the donors or their recipients.
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Affiliation(s)
- Brendan R Emmons
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York; Columbia University Renal Epidemiology Group, New York, New York
| | - Ibrahim Batal
- Department of Pathology and Cell Biology, Columbia University, New York, New York
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York; Columbia University Renal Epidemiology Group, New York, New York
| | - Miko Yu
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York; Columbia University Renal Epidemiology Group, New York, New York
| | - Pietro A Canetta
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York
| | | | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York; Columbia University Renal Epidemiology Group, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Demetra Tsapepas
- Department of Transplant Analytics, New York-Presbyterian Hospital, New York, New York
| | - Joel T Adler
- Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, Texas
| | - Lloyd E Ratner
- Department of Surgery, Columbia University, New York, New York
| | - S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York; Columbia University Renal Epidemiology Group, New York, New York.
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Emmons BR, Adler JT, Sandoval PR, King KL, Yu M, Cron DC, Mohan S, Ratner LE, Husain SA. Association between donor kidney cysts and donor and recipient outcomes after living donor kidney transplantation. Clin Transplant 2024; 38:e15242. [PMID: 38289895 DOI: 10.1111/ctr.15242] [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: 10/03/2023] [Revised: 11/08/2023] [Accepted: 01/04/2024] [Indexed: 02/01/2024]
Abstract
INTRODUCTION Incidental kidneys cysts are typically considered benign, but the presence of cysts is more frequent in individuals with other early markers of kidney disease. We studied the association of donor kidney cysts with donor and recipient outcomes after living donor kidney transplantation. METHODS We retrospective identified 860 living donor transplants at our center (1/1/2011-7/31/2022) without missing data. Donor cysts were identified by review of pre-donation CT scan reports. We used linear regression to study the association between donor cysts and 6-month single-kidney estimated glomerular filtration rate (eGFR) increase, and time-to-event analyses to study the association between donor cysts and recipient death-censored graft failure. RESULTS Among donors, 77% donors had no kidney cysts, 13% had ≥1 cyst on the kidney not donated, and 11% only had cysts on the donated kidney. In adjusted linear regression, cysts on the donated kidney and kidney not donated were not significantly associated with 6-month single-kidney eGFR increase. Among transplants, 17% used a transplanted kidney with a cyst and 6% were from donors with cysts only on the kidney not transplanted. There was no association between donor cyst group and post-transplant death-censored graft survival. Results were similar in sensitivity analyses comparing transplants using kidneys with no cysts versus 1-2 cysts versus ≥3 cysts. CONCLUSIONS Kidney cysts in living kidney donors were not associated with donor kidney recovery or recipient allograft longevity, suggesting incidental kidney cysts need not be taken into account when determining living donor candidate suitability or the laterality of planned donor nephrectomy.
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Affiliation(s)
- Brendan R Emmons
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Joel T Adler
- Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, Texas, USA
| | - Pedro Rodrigo Sandoval
- Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Miko Yu
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - David C Cron
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Lloyd E Ratner
- Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
| | - Syed Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
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Yu M, King KL, Husain SA, Huml AM, Patzer RE, Schold JD, Mohan S. Discrepant Outcomes between National Kidney Transplant Data Registries in the United States. J Am Soc Nephrol 2023; 34:1863-1874. [PMID: 37535362 PMCID: PMC10631598 DOI: 10.1681/asn.0000000000000194] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 07/03/2023] [Indexed: 08/04/2023] Open
Abstract
SIGNIFICANCE STATEMENT Effects of reduced access to external data by transplant registries to improve accuracy and completeness of the collected data are compounded by different data management processes at three US organizations that maintain kidney transplant-related datasets. This analysis suggests that the datasets have large differences in reported outcomes that vary across different subsets of patients. These differences, along with recent disclosure of previously missing outcomes data, raise important questions about completeness of the outcome measures. Differences in recorded deaths seem to be increasing in recent years, reflecting the adverse effects of restricted access to external data sources. Although these registries are invaluable sources for the transplant community, discrepancies and incomplete reporting risk undermining their value for future analyses, particularly when used for developing national transplant policy or regulatory measures. BACKGROUND Central to a transplant registry's quality are accuracy and completeness of the clinical information being captured, especially for important outcomes, such as graft failure or death. Effects of more limited access to external sources of death data for transplant registries are compounded by different data management processes at the United Network for Organ Sharing (UNOS), the Scientific Registry of Transplant Recipients (SRTR), and the United States Renal Data System (USRDS). METHODS This cross-sectional registry study examined differences in reported deaths among kidney transplant candidates and recipients of kidneys from deceased and living donors in 2000 through 2019 in three transplant datasets on the basis of data current as of 2020. We assessed annual death rates and survival estimates to visualize trends in reported deaths between sources. RESULTS The UNOS dataset included 77,605 deaths among 315,346 recipients and 61,249 deaths among 275,000 nonpreemptively waitlisted candidates who were never transplanted. The SRTR dataset included 87,149 deaths among 315,152 recipients and 60,042 deaths among 259,584 waitlisted candidates. The USRDS dataset included 89,515 deaths among 311,955 candidates and 63,577 deaths among 238,167 waitlisted candidates. Annual death rates among the prevalent transplant population show accumulating differences across datasets-2.31%, 4.00%, and 4.03% by 2019 from UNOS, SRTR, and USRDS, respectively. Long-term survival outcomes were similar among nonpreemptively waitlisted candidates but showed more than 10% discordance between USRDS and UNOS among transplanted patients. CONCLUSIONS Large differences in reported patient outcomes across datasets seem to be increasing, raising questions about their completeness. Understanding the differences between these datasets is essential for accurate, reliable interpretation of analyses that use these data for policy development, regulatory oversight, and research. PODCAST This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2023_10_24_JASN0000000000000194.mp3.
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Affiliation(s)
- Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Anne M. Huml
- Department of Kidney Medicine, Cleveland Clinic, Cleveland, Ohio
- Department of Transplantation, Cleveland Clinic, Cleveland, Ohio
| | - Rachel E. Patzer
- Center for Health Services Research, Regenstrief Institute, Indianapolis, Indiana
- Department of Transplant Surgery, Indiana University School of Medicine, Indianapolis, Indiana
- Indiana University Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Jesse D. Schold
- Department of Surgery, University of Colorado – Anschutz Medical Campus, Aurora, Colorado
- Department of Epidemiology, School of Public Health, University of Colorado – Anschutz Medical Campus, Aurora, Colorado
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Husain SA, Yu ME, King KL, Adler JT, Schold JD, Mohan S. Disparities in Kidney Transplant Waitlisting Among Young Patients Without Medical Comorbidities. JAMA Intern Med 2023; 183:1238-1246. [PMID: 37782509 PMCID: PMC10546295 DOI: 10.1001/jamainternmed.2023.5013] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 11/04/2022] [Accepted: 08/07/2023] [Indexed: 10/03/2023]
Abstract
Importance Disparities in kidney transplant referral and waitlisting contribute to disparities in kidney disease outcomes. Whether these differences are rooted in population differences in comorbidity burden is unclear. Objective To examine whether disparities in kidney transplant waitlisting were present among a young, relatively healthy cohort of patients unlikely to have medical contraindications to kidney transplant. Design, Setting, and Participants This retrospective cohort study used the US Renal Data System Registry to identify patients with end-stage kidney disease who initiated dialysis between January 1, 2005, and December 31, 2019. Patients who were older than 40 years, received a preemptive transplant, were preemptively waitlisted, or had documented medical comorbidities other than hypertension or smoking were excluded, yielding an analytic cohort of 52 902 patients. Data were analyzed between March 1, 2022, and February 1, 2023. Main Outcome(s) and Measure(s) Kidney transplant waitlisting after dialysis initiation. Results Of 52 902 patients (mean [SD] age, 31 [5] years; 31 132 [59%] male; 3547 [7%] Asian/Pacific Islander, 20 782 [39%] Black/African American, and 28 006 [53%] White) included in the analysis, 15 840 (30%) were waitlisted for a kidney transplant within 1 year of dialysis initiation, 11 122 (21%) were waitlisted between 1 and 5 years after dialysis initiation, and 25 940 (49%) were not waitlisted by 5 years. Patients waitlisted within 1 year of dialysis initiation were more likely to be male, to be White, to be employed full time, and to have had predialysis nephrology care. There were large state-level differences in the proportion of patients waitlisted within 1 year (median, 33%; range, 15%-58%). In competing risk regression, female sex (adjusted subhazard ratio [SHR], 0.92; 95% CI, 0.90-0.94), Hispanic ethnicity (SHR, 0.77; 95% CI, 0.75-0.80), and Black race (SHR, 0.66; 95% CI, 0.64-0.68) were all associated with lower waitlisting after dialysis initiation. Unemployment (SHR, 0.47; 95% CI, 0.45-0.48) and part-time employment (SHR, 0.74; 95% CI, 0.70-0.77) were associated with lower waitlisting compared with full-time employment, and more than 1 year of predialysis nephrology care, compared with none, was associated with greater waitlisting (SHR, 1.51; 95% CI, 1.46-1.56). Conclusions and Relevance This retrospective cohort study found that fewer than one-third of patients without major medical comorbidities were waitlisted for a kidney transplant within 1 year of dialysis initiation, with sociodemographic disparities in waitlisting even in this cohort of young, relatively healthy patients unlikely to have a medical contraindication to transplantation. Transplant policy changes are needed to increase transparency and address structural barriers to waitlist access.
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Affiliation(s)
- S. Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Miko E. Yu
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin
| | - Jesse D. Schold
- Department of Surgery, University of Colorado–Anschutz Medical Campus, Aurora
- Department of Epidemiology, School of Public Health, University of Colorado–Anschutz Medical Campus, Aurora
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Cron DC, Husain SA, King KL, Mohan S, Adler JT. Increased volume of organ offers and decreased efficiency of kidney placement under circle-based kidney allocation. Am J Transplant 2023; 23:1209-1220. [PMID: 37196709 PMCID: PMC10527286 DOI: 10.1016/j.ajt.2023.05.005] [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: 02/10/2023] [Revised: 04/19/2023] [Accepted: 05/07/2023] [Indexed: 05/19/2023]
Abstract
The newest kidney allocation policy kidney allocation system 250 (KAS250) broadened geographic distribution while increasing allocation system complexity. We studied the volume of kidney offers received by transplant centers and the efficiency of kidney placement since KAS250. We identified deceased-donor kidney offers (N = 907,848; N = 36,226 donors) to 185 US transplant centers from January 1, 2019, to December 31, 2021 (policy implemented March 15, 2021). Each unique donor offered to a center was considered a single offer. We compared the monthly volume of offers received by centers and the number of centers offered before the first acceptance using an interrupted time series approach (pre-/post-KAS250). Post-KAS250, transplant centers received more kidney offers (level change: 32.5 offers/center/mo, P < .001; slope change: 3.9 offers/center/mo, P = .003). The median monthly offer volume post-/pre-KAS250 was 195 (interquartile range 137-253) vs. 115 (76-151). There was no significant increase in deceased-donor transplant volume at the center level after KAS250, and center-specific changes in offer volume did not correlate with changes in transplant volume (r = -0.001). Post-KAS250, the number of centers to whom a kidney was offered before acceptance increased significantly (level change: 1.7 centers/donor, P < .001; slope change: 0.1 centers/donor/mo, P = .014). These findings demonstrate the logistical burden of broader organ sharing, and future allocation policy changes will need to balance equity in transplant access with the operational efficiency of the allocation system.
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Affiliation(s)
- David C Cron
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA; Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Syed A Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Joel T Adler
- Division of Transplantation, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, Texas, USA.
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10
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King KL, Husain SA, Yu M, Adler JT, Schold J, Mohan S. Characterization of Transplant Center Decisions to Allocate Kidneys to Candidates With Lower Waiting List Priority. JAMA Netw Open 2023; 6:e2316936. [PMID: 37273203 PMCID: PMC10242426 DOI: 10.1001/jamanetworkopen.2023.16936] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 01/17/2023] [Accepted: 04/21/2023] [Indexed: 06/06/2023] Open
Abstract
Importance Allocation of deceased donor kidneys is meant to follow a ranked match-run list of eligible candidates, but transplant centers with a 1-to-1 relationship with their local organ procurement organization have full discretion to decline offers for higher-priority candidates and accept them for lower-ranked candidates at their center. Objective To describe the practice and frequency of transplant centers placing deceased donor kidneys with candidates who are not the highest rank at their center according to the allocation algorithm. Design, Setting, and Participants This retrospective cohort study used 2015 to 2019 organ offer data from US transplant centers with a 1-to-1 relationship with their local organ procurement organization, following candidates for transplant events from January 2015 to December 2019. Participants were deceased kidney donors with a single match-run and at least 1 kidney transplanted locally and adult, first-time, kidney-only transplant candidates receiving at least 1 offer for a locally transplanted deceased donor kidney. Data were analyzed from March 1, 2022 to March 28, 2023. Exposure Demographic and clinical characteristics of donors and recipients. Main Outcomes and Measures The outcome of interest was kidney transplantation into the highest-priority candidate (defined as transplanted after zero declines for local candidates in the match-run) vs a lower-ranked candidate. Results This study assessed 26 579 organ offers from 3136 donors (median [IQR] age, 38 [25-51] years; 2903 [62%] men) to 4668 recipients. Transplant centers skipped their highest-ranked candidate to place kidneys further down the match-run for 3169 kidneys (68%). These kidneys went to a median (IQR) of the fourth- (third- to eighth-) ranked candidate. Higher kidney donor profile index (KDPI; higher score indicates lower quality) kidneys were less likely to go to the highest-ranked candidate, with 24% of kidneys with KDPI of at least 85% going to the top-ranked candidate vs 44% of KDPI 0% to 20% kidneys. When comparing estimated posttransplant survival (EPTS) scores between the skipped candidates and the ultimate recipients, kidneys were placed with recipients with both better and worse EPTS than the skipped candidates, across all KDPI risk groups. Conclusions and Relevance In this cohort study of local kidney allocation at isolated transplant centers, we found that centers frequently skipped their highest-priority candidates to place kidneys further down the allocation prioritization list, often citing organ quality concerns but placing kidneys with recipients with both better and worse EPTS with nearly equal frequency. This occurred with limited transparency and highlights the opportunity to improve the matching and offer algorithm to improve allocation efficiency.
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Affiliation(s)
- Kristen L. King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin
| | - Jesse Schold
- Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora
- Department of Epidemiology, School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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11
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Mohan S, Yu M, King KL, Husain SA. Increasing Discards as an Unintended Consequence of Recent Changes in United States Kidney Allocation Policy. Kidney Int Rep 2023; 8:1109-1111. [PMID: 37180509 PMCID: PMC10166727 DOI: 10.1016/j.ekir.2023.02.1081] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/25/2023] [Accepted: 02/19/2023] [Indexed: 02/27/2023] Open
Affiliation(s)
- Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York
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12
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King KL, Yu M, Husain SA, Patzer RE, Sandra V, Reese PP, Schold JD, Mohan S. Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant. Kidney Int Rep 2023; 8:442-454. [PMID: 36938099 PMCID: PMC10014377 DOI: 10.1016/j.ekir.2022.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 12/31/2022] Open
Abstract
Introduction The use of race coefficients in equations for estimated glomerular filtration rate (eGFR) may have contributed to racial disparities in access to preemptive (without dialysis exposure) kidney transplantation (Ktx). Methods In this retrospective national cohort study of incident kidney transplant candidates in the United States from 2001 to 2019, we describe temporal trends and racial disparities in preemptive listing and the distribution of eGFR at listing, using eGFR as reported and after removing the race coefficient for Black candidates. Results Among 511,686 candidates, preemptive listing increased over time, from 18% in 2001 to 33% in 2019. Non-Black candidates were listed preemptively nearly twice as frequently as Black candidates in 2019 (38% vs. 21% preemptive) and at higher eGFR values (median 15.6 vs. 15.0 ml/min per 1.73 m2). After adjusting for candidate characteristics, including listing eGFR without the race coefficient, preemptive Black candidates still had significantly lower odds of preemptive deceased donor (DD) kidney transplantation compared to non-Black candidates (odds ratio 0.87, 95% confidence interval: 0.78-0.98). Conclusions Over the last 2 decades, Black patients were consistently less likely to be listed preemptively and were listed at lower eGFR values. Adjusting for listing eGFR with the race coefficient computationally removed did not eliminate the racial disparity, suggesting that additional efforts are needed to achieve equity in preemptive transplantation beyond adopting race-free eGFR equations.
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Affiliation(s)
- Kristen L. King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Miko Yu
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Rachel E. Patzer
- Division of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
- Health Services Research Center, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Vanessa Sandra
- Columbia University Renal Epidemiology Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Peter P. Reese
- Renal-Electrolyte and Hypertension Division, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jesse D. Schold
- Department of Surgery, University of Colorado–Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, School of Public Health, University of Colorado–Anschutz Medical Campus, Aurora, Colorado, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
- Correspondence: Sumit Mohan, Division of Nephrology, Department of Medicine, Columbia University Medical Center, 622 West 168th Street, Ph4-124, New York, New York 10032, USA.
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13
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Tsapepas D, Sandra V, Dale LA, Drexler Y, King KL, Yu M, Toma K, Van Bever J, Sanichar N, Husain SA, Mohan S. Retrospective analysis of the impact of severe obesity on kidney transplant outcomes. Nephrol Dial Transplant 2023; 38:472-480. [PMID: 35524689 DOI: 10.1093/ndt/gfac169] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The prevalence of obesity among kidney transplant recipients is rising. We sought to determine the association between recipient body mass index (BMI) and post-transplant complications. METHODS Single-center, retrospective cohort study of all adult kidney transplant recipients from 2004 to 2020. Recipients were stratified into four BMI categories: normal-weight (BMI 18.5-24.9 kg/m2, n = 1020), overweight (BMI 25-29.9 kg/m2, n = 1002), moderately obese (BMI 30-34.9 kg/m2, n = 510) and severely-to-morbidly obese (BMI ≥35 kg/m2, n = 274). Logistic regression was used to estimate the association between BMI category and surgical site infections (SSIs). RESULTS Recipients with BMI ≥35 kg/m2 had significantly higher rates of SSIs (P < .0001) compared with recipients in all other categories. On multivariable analysis, recipients with BMI ≥35 kg/m2 had increased odds of SSIs compared with normal-weight recipients [odds ratio (OR) 3.34, 95% confidence interval (CI) 1.55-7.22, P = .022). On multivariable and Kaplan-Meier analyses, no BMI groups demonstrated increased odds for death-censored graft failure. CONCLUSION Severe obesity in kidney transplant recipients is associated with increased SSIs, but not kidney allograft failure.
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Affiliation(s)
- Demetra Tsapepas
- Department of Analytics, Division of Transplantation, NewYork-Presbyterian Hospital, New York, NY, USA.,Department of Surgery, Division of Transplantation, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Vanessa Sandra
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Leigh Ann Dale
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Yelena Drexler
- Department of Medicine, Division of Nephrology, University of Miami, Miami, FL, USA
| | - Kristen L King
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Miko Yu
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Katherine Toma
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Jennifer Van Bever
- Department of Analytics, Division of Transplantation, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Navin Sanichar
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - S Ali Husain
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Sumit Mohan
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA.,Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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14
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Husain SA, Stevens JS, King KL, Robbins-Juarez SY, Cohen M, Lyashchenko AK, Cremers S, Mohan S. Timed Creatinine Clearance and Measured Glomerular Filtration Rate in Living Kidney Donors. Kidney Med 2023; 5:100572. [PMID: 36713309 PMCID: PMC9881214 DOI: 10.1016/j.xkme.2022.100572] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Jacob S Stevens
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Shelief Y Robbins-Juarez
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, New York
| | - Matthew Cohen
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, New York
| | - Alexander K Lyashchenko
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York
| | - Serge Cremers
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York.,Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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15
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Husain SA, King KL, Cron DC, Lentine KL, Adler JT, Mohan S. Influence of organ quality on the observed association between deceased donor kidney procurement biopsy findings and graft survival. Am J Transplant 2022; 22:2842-2854. [PMID: 35946600 DOI: 10.1111/ajt.17167] [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: 03/18/2022] [Revised: 07/17/2022] [Accepted: 08/05/2022] [Indexed: 01/25/2023]
Abstract
Deceased donor kidney procurement biopsies findings are the most common reason for kidney discard. Retrospective studies have found inconsistent associations with post-transplant outcomes but may have been limited by selection bias because kidneys with advanced nephrosclerosis from high-risk donors are typically discarded. We conducted a retrospective cohort study of kidneys transplanted in the United States from 2015 to 2019 with complete biopsy data available, defining "suboptimal histology" as glomerulosclerosis ≥11%, IFTA ≥mild, and/or vascular disease ≥mild. We used time-to-event analyses to determine the association between suboptimal histology and death-censored graft failure after stratification by kidney donor profile index (KDPI) (≤35%, 36%-84%, ≥85%) and final creatinine (<1 mg/dl, 1-2 mg/dl, >2 mg/dl). Among 30 469 kidneys included, 36% had suboptimal histology. In adjusted analyses, suboptimal histology was associated with death-censored graft failure among kidneys with KDPI 36-84% (HR 1.22, 95% CI 1.09-1.36), but not KDPI≤35% (HR 1.24, 0.94-1.64) or ≥ 85% (HR 0.99, 0.81-1.22). Similarly, suboptimal histology was associated with death-censored graft failure among kidneys from donors with creatinine 1-2 mg/dl (HR 1.39, 95% CI 1.20-1.60) but not <1 mg/dl (HR 1.07, 0.93-1.23) or >2 mg/dl (HR 0.95, 0.75-1.20). The association of procurement histology with graft longevity among intermediate-quality kidneys that were likely to be both biopsied and transplanted suggests biopsies provide independent organ quality assessments.
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Affiliation(s)
- S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - David C Cron
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Krista L Lentine
- Department of Surgery, Saint Louis University School of Medicine, St. Louis, Missouri, USA
| | - Joel T Adler
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, Texas, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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16
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Husain SA, King KL, Owen-Simon NL, Fernandez HE, Ratner LE, Mohan S. Access to kidney transplantation among pediatric candidates with prior solid organ transplants in the United States. Pediatr Transplant 2022; 26:e14303. [PMID: 35615911 PMCID: PMC9378581 DOI: 10.1111/petr.14303] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 03/30/2022] [Accepted: 04/24/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Pediatric kidney transplant candidates require timely access to transplant to optimize growth and neurodevelopmental outcomes. We studied access to transplant for pediatric candidates with prior organ transplants. METHODS We used US registry data to identify pediatric kidney transplant candidates added to the waiting list 2015-2019 and used competing risk regression to study the association between prior transplant status and probability of receiving a kidney transplant, treating wait-list removal and death as competing events. RESULTS Of 4962 pediatric kidney transplant candidates included, 89% had no prior transplant and 11% had received a prior organ transplant (kidney 87%, liver 5%, heart 5%). Prior transplant recipients were older at listing (median 15 vs. 12 years) and more likely to have PRA≥98% (22% vs. 0.3%) (both p < .001). There was no significant difference in the proportion of candidates from each group who were preemptively wait-listed. Unadjusted competing risk regression showed a lower risk of kidney transplant after wait-listing among candidates with prior organ transplant (HR 0.52, 95%CI 0.47-0.59, p < .001). This association remained significant after adjusting for candidate characteristics (HR 0.73, 95%CI 0.63-0.83, p < .001). Among deceased donor kidney recipients, median KDPI was similar between groups, but recipients with prior transplants were more likely to receive kidneys from donors with hypertension (4% vs. 1%, p = .01) and donors after cardiac death (11% vs. 4%, p < .001). CONCLUSIONS Pediatric kidney transplant candidates with prior organ transplants have reduced access to transplant after wait-listing. Allocation system changes are needed to improve timely access to transplant for this vulnerable group.
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Affiliation(s)
- S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Nina L. Owen-Simon
- Department of Surgery, Columbia University College of Physicians & Surgeons, New York, New York
| | - Hilda E. Fernandez
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY
- Department of Pediatrics, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY
| | - Lloyd E. Ratner
- Department of Surgery, Columbia University College of Physicians & Surgeons, New York, New York
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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17
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Qian L, Li MT, King KL, Husain SA, Cohen DJ, Mohan S. Healthcare students support opt-out organ donation for practical and moral reasons. J Med Ethics 2022; 48:522-529. [PMID: 34103365 PMCID: PMC8651801 DOI: 10.1136/medethics-2020-107053] [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] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/22/2021] [Accepted: 04/20/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND PURPOSE Changes to deceased organ donation policy in the USA, including opt-out and priority systems, have been proposed to increase registration and donation rates. To study attitudes towards such policies, we surveyed healthcare students to assess support for opt-out and priority systems and reasons for support or opposition. METHODS We investigated associations with supporting opt-out, including organ donation knowledge, altruism, trust in the healthcare system, prioritising autonomy and participants' evaluation of the moral severity of incorrectly assuming consent in opt-in systems ('opt-in error') or opt-out systems ('opt-out error'), by conducting an online survey among healthcare students at a large academic institution. RESULTS Of 523 respondents, 86% supported opt-out, including 53% who strongly supported the policy. The most popular reason for supporting opt-out was the potential for increased donation rates, followed by convenience for those not registered but willing to donate. The most popular reason for opposing opt-out was the belief that presuming consent is morally wrong. Those strongly supporting opt-out viewed the opt-in error as more morally unacceptable, and had higher knowledge and altruism scores. Those opposing opt-out viewed the opt-out error as more unacceptable, and had higher autonomy scores. 48% of respondents supported priority within opt-in systems; 31% supported priority in opt-out. CONCLUSIONS There is strong support for opt-out organ donation among healthcare students, influenced by both practical and moral considerations.
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Affiliation(s)
- Long Qian
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Miah T Li
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Syed Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - David J Cohen
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
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18
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King KL, Husain SA, Cohen DJ, Schold JD, Mohan S. The role of bypass filters in deceased donor kidney allocation in the United States. Am J Transplant 2022; 22:1593-1602. [PMID: 35090080 DOI: 10.1111/ajt.16967] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 08/04/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 01/25/2023]
Abstract
Kidney transplant centers set organ offer filters enabling all candidates at their center to be bypassed during allocation of deceased donor kidneys from the UNOS Organ Center. These filters aim to increase allocation efficiency by preemptively screening out offers unlikely to be accepted. National data were used to compare filter settings of 175 centers in 2007 and in 2019. We examined characteristics of centers whose settings became increasingly restrictive over time, and associations between filter settings and organ offer acceptance. Overall, centers became more open to receiving offers over time, from a median 62% of filters open to receiving national offers in 2007 to 73% in 2019. Intravenous drug use filter settings changed most, from 63 to 153 willing centers. Centers with more open filter settings had higher transplant volume and offer acceptance ratios across all risk categories despite preemptively screening out fewer offers compared to centers with less open settings, but similar transplant rates. There was significant geographic heterogeneity in the distribution of centers with more open filter settings. Current center bypass filters may impact patients' access to transplantation without achieving their full potential for improving allocation efficiency.
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Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - David J Cohen
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Jesse D Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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Husain SA, King KL, Cron DC, Neidlinger NA, Ng H, Mohan S, Adler JT. Association of transplant center market concentration and local organ availability with deceased donor kidney utilization. Am J Transplant 2022; 22:1603-1613. [PMID: 35213789 PMCID: PMC9177771 DOI: 10.1111/ajt.17010] [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: 11/15/2021] [Revised: 01/30/2022] [Accepted: 02/20/2022] [Indexed: 01/25/2023]
Abstract
Although there is a shortage of kidneys available for transplantation, many transplantable kidneys are not procured or are discarded after procurement. We investigated whether local market competition and/or organ availability impact kidney procurement/utilization. We calculated the Herfindahl-Hirschman Index (HHI) for deceased donor kidney transplants (2015-2019) for 58 US donation service areas (DSAs) and defined 4 groups: HHI ≤ 0.32 (high competition), HHI = 0.33-0.51 (medium), HHI = 0.53-0.99 (low), and HHI = 1 (monopoly). We calculated organ availability for each DSA as the number kidneys procured per incident waitlisted candidate, grouped as: <0.42, 0.42-0.69, >0.69. Characteristics of procured organs were similar across groups. In adjusted logistic regression, the HHI group was inconsistently associated with composite export/discard (reference: high competition; medium: OR 1.16, 95% CI 1.11-1.20; low 1.01, 0.96-1.06; monopoly 1.19, 1.13-1.26) and increasing organ availability was associated with export/discard (reference: availability <0.42; 0.42-0.69: OR 1.35, 95% CI 1.30-1.40; >0.69: OR 1.83, 95% CI 1.73-1.93). When analyzing each endpoint separately, lower competition was associated with higher export and only market monopoly was weakly associated with lower discard, whereas higher organ availability was associated with export and discard. These results indicate that local organ utilization is more strongly influenced by the relative intensity of the organ shortage than by market competition between centers.
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Affiliation(s)
- Syed A. Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - David C. Cron
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Han Ng
- Department of Economics, Pennsylvania State University, State College, Pennsylvania
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York,The Columbia University Renal Epidemiology (CURE) Group, New York, New York,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, Texas
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20
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King KL, Husain SA, Perotte A, Adler JT, Schold JD, Mohan S. Deceased donor kidneys allocated out of sequence by organ procurement organizations. Am J Transplant 2022; 22:1372-1381. [PMID: 35000284 PMCID: PMC9081167 DOI: 10.1111/ajt.16951] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 10/06/2021] [Revised: 12/20/2021] [Accepted: 01/03/2022] [Indexed: 01/25/2023]
Abstract
Deceased donor kidney allocation follows a ranked match-run of potential recipients. Organ procurement organizations (OPOs) are permitted to deviate from the mandated match-run in exceptional circumstances. Using match-run data for all deceased donor kidney transplants (Ktx) in the US between 2015 and 2019, we identified 1544 kidneys transplanted from 933 donors with an OPO-initiated allocation exception. Most OPOs (55/58) used this process at least once, but 3 OPOs performed 64% of the exceptions and just 2 transplant centers received 25% of allocation exception Ktx. At 2 of 3 outlier OPOs these transplants increased 136% and 141% between 2015 and 2019 compared to only a 35% increase in all Ktx. Allocation exception donors had less favorable characteristics (median KDPI 70, 41% with history of hypertension), but only 29% had KDPI ≥ 85% and the majority did not meet the traditional threshold for marginal kidneys. Allocation exception kidneys went to larger centers with higher offer acceptance ratios and to recipients with 2 fewer priority points-equivalent to 2 less years of waiting time. OPO-initiated exceptions for kidney allocation are growing increasingly frequent and more concentrated at a few outlier centers. Increasing pressure to improve organ utilization risks increasing out-of-sequence allocations, potentially exacerbating disparities in access to transplantation.
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Affiliation(s)
- Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, NY
| | - Joel T. Adler
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, TX
| | - Jesse D Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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21
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Husain SA, King KL, Mohan S. Differences between race-based and race-free estimated glomerular filtration rate among living kidney donors. Am J Transplant 2022; 22:1504-1505. [PMID: 35038788 PMCID: PMC9081143 DOI: 10.1111/ajt.16962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 12/30/2021] [Accepted: 01/12/2022] [Indexed: 01/25/2023]
Affiliation(s)
- S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY,The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY,The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, NY,The Columbia University Renal Epidemiology (CURE) Group, New York, NY,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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22
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Husain SA, King KL, Adler JT, Mohan S, Perotte R. Impact of Extending Eligibility for Reinstatement of Waiting Time After Early Allograft Failure: A Decision Analysis. Am J Kidney Dis 2022; 79:354-361. [PMID: 34562524 PMCID: PMC8881308 DOI: 10.1053/j.ajkd.2021.07.023] [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: 02/24/2021] [Accepted: 07/31/2021] [Indexed: 11/11/2022]
Abstract
RATIONALE & OBJECTIVE The shortage of deceased donor kidneys identified for potential transplantation in the United States is exacerbated by a high proportion of deceased donor kidneys being discarded after procurement. We estimated the impact of a policy proposal aiming to increase organ utilization by extending eligibility for waiting time reinstatement for recipients experiencing early allograft failure after transplantation. STUDY DESIGN Decision analysis informed by clinical registry data. SETTING & POPULATION We used Organ Procurement and Transplantation Network data to identify 76,044 deceased-donor kidneys procured in the United States from 2013 to 2017, 80% of which were transplanted and 20% discarded. INTERVENTION Extend waiting time reinstatement for recipients experiencing allograft failure from the current 90 days to 1 year after transplantation. OUTCOME Net impact to the waitlist, defined as the estimated number of additional transplants minus estimated increase in waiting list reinstatements. MODEL, PERSPECTIVE, & TIMEFRAME We estimated (1) the number of additional deceased donor kidneys that would be transplanted if there was a 5%-25% relative reduction in discards, and (2) the number of recipients who would regain waiting time under a 6-, 12-, 18-, and 24-month reinstatement policy. RESULTS Reinstating a waiting time for recipients experiencing allograft failure up to 1 year after transplantation yielded more additional transplants than growth in additions to the waiting list for all model assumptions except the combination of a very low relative reduction in discards (5%) and a very high failure rate of transplanted kidneys that would previously have been discarded (≥5 times the rate of currently transplanted kidneys). LIMITATIONS Lack of empirical evidence supporting the proposed impact of such a policy change. CONCLUSIONS A policy change reinstating waiting time for deceased donor kidneys recipients with allograft failure up to 1 year after transplantation should explored as a decision science-based intervention to improve organ utilization.
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Affiliation(s)
- S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY,The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY,The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Joel T. Adler
- Department of Surgery, Division of Transplant Surgery, Brigham and Women’s Hospital, Boston, MA,Center for Surgery and Public Health at Brigham and Women’s Hospital, Boston, MA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY,The Columbia University Renal Epidemiology (CURE) Group, New York, NY,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Rimma Perotte
- Department of Emergency Medicine, Hackensack University Medical Center, Hackensack, NJ,Department of Biomedical Informatics, Columbia University Medical Center, New York, NY
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Nestor JG, Li AJ, King KL, Husain SA, McIntosh TJ, Sawinski D, Iltis AS, Goodman MS, Walsh HA, DuBois JM, Mohan S. Impact of education on APOL1 testing attitudes among prospective living kidney donors. Clin Transplant 2022; 36:e14516. [PMID: 34661305 PMCID: PMC9113661 DOI: 10.1111/ctr.14516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 02/05/2021] [Revised: 10/05/2021] [Accepted: 10/11/2021] [Indexed: 12/22/2022]
Abstract
It is unknown how providing prospective living donors with information about APOL1, including the benefits and drawbacks of testing, influences their desire for testing. In this study, we surveyed 102 participants with self-reported African ancestry and positive family history of kidney disease, recruited from our nephrology waiting room. We assessed views on APOL1 testing before and after presentation of a set of potential benefits and drawbacks of testing and quantified the self-reported level of influence individual benefits and drawbacks had on participants' desire for testing in the proposed context of living donation. The majority of participants (92%) were aware of organ donation and more than half (56%) had considered living donation. And though we found no significant change in response following presentation of the potential benefits and the drawbacks of APOL1 testing by study end significance, across all participants, "becoming aware of the potential risk of kidney disease among your immediate family" was the benefit with the highest mean influence (3.3±1.4), while the drawback with the highest mean influence (2.9±1.5) was "some transplant centers may not allow you to donate to a loved one". This study provides insights into the priorities of prospective living donors and suggests concern for how the information affects family members may strongly influence desires for testing. It also highlights the need for greater community engagement to gain a deeper understanding of the priorities that influence decision making on APOL1 testing.
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Affiliation(s)
- Jordan G. Nestor
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
| | - Amber J. Li
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Tristan J. McIntosh
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Deirdre Sawinski
- Department of Medicine, Renal Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ana S. Iltis
- Center for Bioethics Health and Society and Department of Philosophy, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Melody S. Goodman
- School of Global Public Health, New York University, New York, New York, USA
| | - Heidi A. Walsh
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA
| | - James M. DuBois
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
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Husain SA, King KL, Adler JT, Mohan S. Racial disparities in living donor kidney transplantation in the United States. Clin Transplant 2021; 36:e14547. [PMID: 34843124 DOI: 10.1111/ctr.14547] [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: 07/08/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 11/29/2022]
Abstract
Living donor kidney transplant (LDKT) is the best treatment for end-stage kidney disease, but there are racial disparities in LDKT rates. To study putative mechanisms of these disparities, we identified 58 752 adult kidney transplant candidates first activated on the United States kidney transplant waitlist 2015-2016 and defined four exposure groups by race/primary payer: African American/Medicaid, African American/NonMedicaid, Non-African American/Medicaid, Non-African American/NonMedicaid. We performed competing risk regression to compare risk of LDKT between groups. Among included candidates, 30% had African American race and 9% had Medicaid primary payer. By the end of follow up, 16% underwent LDKT. The cumulative incidence of LDKT was lowest for African American candidates regardless of payer. Compared to African American/Non-Medicaid candidates, the adjusted likelihood of LDKT was higher for both Non-African American/Medicaid (HR 1.60, 95%CI 1.43-1.78) and Non-African American/Non-Medicaid candidates (HR 2.66, 95%CI 2.50-2.83). Results were similar when analyzing only candidates still waitlisted > 2 years after initial activation or candidates with type O blood. Among 9639 candidates who received LDKT, only 13% were African American. Donor-recipient relationships were similar for African American and Non-African American recipients. These findings indicate African American candidates have a lower incidence of LDKT than candidates of other races, regardless of primary payer.
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Affiliation(s)
- S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Joel T Adler
- Department of Surgery, Division of Transplant Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Center for Surgery and Public Health at Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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25
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Husain SA, King KL, Robbins-Juarez S, Adler JT, McCune KR, Mohan S. Number of Donor Renal Arteries and Early Outcomes after Deceased Donor Kidney Transplantation. Kidney360 2021; 2:1819-1826. [PMID: 35373010 PMCID: PMC8785844 DOI: 10.34067/kid.0005152021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/07/2021] [Indexed: 02/07/2023]
Abstract
Background Anatomic abnormalities increase the risk of deceased donor kidney discard, but their effect on transplant outcomes is understudied. We sought to determine the effect of multiple donor renal arteries on early outcomes after deceased donor kidney transplantation. Methods For this retrospective cohort study, we identified 1443 kidneys from 832 deceased donors with ≥1 kidney transplanted at our center (2006-2016). We compared the odds of delayed graft function and 90-day graft failure using logistic regression. To reduce potential selection bias, we then repeated the analysis using a paired-kidney cohort, including kidney pairs from 162 donors with one single-artery kidney and one multiartery kidney. Results Of 1443 kidneys included, 319 (22%) had multiple arteries. Multiartery kidneys experienced longer cold ischemia time, but other characteristics were similar between groups. Delayed graft function (50% multiartery versus 45% one artery, P=0.07) and 90-day graft failure (3% versus 3%, P=0.83) were similar between groups before and after adjusting for donor and recipient characteristics. In the paired kidney analysis, cold ischemia time was significantly longer for multiartery kidneys compared with single-artery kidneys from the same donor (33.5 versus 26.1 hours, P<0.001), but delayed graft function and 90-day graft failure were again similar between groups. Conclusions Compared with single-artery deceased donor kidneys, those with multiple renal arteries are harder to place, but experience similar delayed graft function and early graft failure.
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Affiliation(s)
- S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York
| | - Shelief Robbins-Juarez
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York
| | - Joel T Adler
- Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.,Center for Surgery and Public Health at Brigham and Women's Hospital, Boston, Massachusetts
| | - Kasi R McCune
- Department of Surgery, Kidney and Pancreas Transplant Program, Columbia University College of Physicians & Surgeons, New York, New York
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, New York, New York
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King KL, Chaudhry SG, Ratner LE, Cohen DJ, Husain SA, Mohan S. Declined Offers for Deceased Donor Kidneys Are Not an Independent Reflection of Organ Quality. Kidney360 2021; 2:1807-1818. [PMID: 35372993 PMCID: PMC8785847 DOI: 10.34067/kid.0004052021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/06/2021] [Indexed: 02/04/2023]
Abstract
Background Deceased donor kidney offers are frequently declined multiple times before acceptance for transplantation, despite significant organ shortage and long waiting times. Whether the number of times a kidney has been declined, reflecting cumulative judgments of clinicians, is associated with long-term transplant outcomes remains unclear. Methods In this national, retrospective cohort study of deceased donor kidney transplants in the United States from 2008 to 2015 (n=78,940), we compared donor and recipient characteristics and short- and long-term graft and patient survival outcomes grouping by the sequence number at which the kidney was accepted for transplantation. We compared outcomes for kidneys accepted within the first seven offers in the match-run, after 8-100 offers, and for hard-to-place kidneys distinguishing those requiring >100 and >1000 offers before acceptance. Results Harder-to-place kidneys had lower donor quality and higher rates of delayed graft function (46% among kidneys requiring >1000 offers before acceptance versus 23% among kidneys with ≤7 offers). In unadjusted models, later sequence groups had higher hazard of all-cause graft failure, death-censored graft failure, and patient mortality; however, these associations were attenuated after adjusting for Kidney Donor Risk Index (KDRI). After adjusting for donor factors already taken into consideration during allocation, and recipient factors associated with long-term outcomes, graft, and patient survival outcomes were not significantly different for the hardest-to-place kidneys compared with the easiest-to-place kidneys, with the exception of death-censored graft failure (adjusted hazard ratio, 1.16, 95% CI, 1.05 to 1.28). Conclusion Late sequence offers may represent missed opportunities for earlier successful transplant for the higher-priority waitlisted candidates for whom the offers were declined.
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Affiliation(s)
- Kristen L King
- Department of Medicine, Columbia University Irving Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York
| | - Sulemon G Chaudhry
- Division of Transplant Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | - Lloyd E Ratner
- Division of Transplant Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | - David J Cohen
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - S Ali Husain
- Department of Medicine, Columbia University Irving Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York
| | - Sumit Mohan
- Department of Medicine, Columbia University Irving Medical Center, New York, New York.,The Columbia University Renal Epidemiology Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, New York, New York
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Mohan S, King KL, Husain SA, Schold JD. COVID-19-Associated Mortality among Kidney Transplant Recipients and Candidates in the United States. Clin J Am Soc Nephrol 2021; 16:1695-1703. [PMID: 34588178 PMCID: PMC8729425 DOI: 10.2215/cjn.02690221] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [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: 06/15/2021] [Accepted: 08/25/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND OBJECTIVES The coronavirus disease 2019 (COVID-19) pandemic has had a profound effect on transplantation activity in the United States and globally. Several single-center reports suggest higher morbidity and mortality among candidates waitlisted for a kidney transplant and recipients of a kidney transplant. We aim to describe 2020 mortality patterns during the COVID-19 pandemic in the United States among kidney transplant candidates and recipients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Using national registry data for waitlisted candidates and kidney transplant recipients collected through April 23, 2021, we report demographic and clinical factors associated with COVID-19-related mortality in 2020, other deaths in 2020, and deaths in 2019 among waitlisted candidates and transplant recipients. We quantify excess all-cause deaths among candidate and recipient populations in 2020 and deaths directly attributed to COVID-19 in relation to prepandemic mortality patterns in 2019 and 2018. RESULTS Among deaths of patients who were waitlisted in 2020, 11% were attributed to COVID-19, and these candidates were more likely to be male, obese, and belong to a racial/ethnic minority group. Nearly one in six deaths (16%) among active transplant recipients in the United States in 2020 was attributed to COVID-19. Recipients who died of COVID-19 were younger, more likely to be obese, had lower educational attainment, and were more likely to belong to racial/ethnic minority groups than those who died of other causes in 2020 or 2019. We found higher overall mortality in 2020 among waitlisted candidates (24%) than among kidney transplant recipients (20%) compared with 2019. CONCLUSIONS Our analysis demonstrates higher rates of mortality associated with COVID-19 among waitlisted candidates and kidney transplant recipients in the United States in 2020.
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Affiliation(s)
- Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York,Columbia University Renal Epidemiology Group, New York, New York,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York,Columbia University Renal Epidemiology Group, New York, New York
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York,Columbia University Renal Epidemiology Group, New York, New York
| | - Jesse D. Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio,Center for Populations Health Research, Cleveland Clinic, Cleveland, Ohio
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Li MT, King KL, Husain SA, Schold JD, Mohan S. Deceased Donor Kidneys Utilization and Discard Rates During COVID-19 Pandemic in the United States. Kidney Int Rep 2021; 6:2463-2467. [PMID: 34514207 PMCID: PMC8419126 DOI: 10.1016/j.ekir.2021.06.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/03/2021] [Accepted: 06/07/2021] [Indexed: 12/23/2022] Open
Affiliation(s)
- Miah T Li
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.,Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.,Columbia University Renal Epidemiology Group, New York, New York, USA
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.,Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Jesse D Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.,Columbia University Renal Epidemiology Group, New York, New York, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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Emmons BR, Husain SA, King KL, Adler JT, Mohan S. Variations in deceased donor kidney procurement biopsy practice patterns: A survey of U.S. organ procurement organizations. Clin Transplant 2021; 35:e14411. [PMID: 34196034 PMCID: PMC8556234 DOI: 10.1111/ctr.14411] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 05/02/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Procurement biopsies have become a common practice in the evaluation and allocation of deceased donor kidneys in the United States despite questions about their value and reproducibility. We sought to determine the extent of OPO-level differences in criteria used to decide which deceased donor kidneys undergo a procurement biopsy and to assess the degree of variability in procurement biopsy technique and interpretation across OPOs. METHODS Each of the country's 58 OPOs were invited to participate in the survey. OPOs were divided into two groups based on organ availability ratio and deceased donor kidney discard rate. RESULTS AND CONCLUSIONS Fifty-out-of-fifty-eight invited OPOs (86% response rate) responded to the survey between November 2020 and December 2020. Thirty (60%) OPOs reported that they have formal criteria for performing kidney procurement biopsy, but for 29 of these OPOs, transplant centers can request biopsy on kidneys that do not meet criteria. OPOs used a total of seven different variables and 12 different numerical thresholds to define impaired kidney function that would prompt a procurement biopsy. Additionally, wide variability was seen in biopsy technique and procedures for biopsy interpretation and reporting of findings to transplant programs. These findings identify a clear opportunity for standardization of procurement biopsies to best practices.
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Affiliation(s)
- Brendan R. Emmons
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
| | - S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Joel T. Adler
- Department of Surgery, Division of Transplant Surgery, Brigham and Women’s Hospital, Boston, MA
- Center for Surgery and Public Health at Brigham and Women’s Hospital, Boston, MA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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Schold JD, King KL, Husain SA, Poggio ED, Buccini LD, Mohan S. COVID-19 mortality among kidney transplant candidates is strongly associated with social determinants of health. Am J Transplant 2021; 21:2563-2572. [PMID: 33756049 PMCID: PMC8250928 DOI: 10.1111/ajt.16578] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 02/02/2021] [Revised: 03/04/2021] [Accepted: 03/15/2021] [Indexed: 01/25/2023]
Abstract
The COVID-19 pandemic has affected all portions of the global population. However, many factors have been shown to be particularly associated with COVID-19 mortality including demographic characteristics, behavior, comorbidities, and social conditions. Kidney transplant candidates may be particularly vulnerable to COVID-19 as many are dialysis-dependent and have comorbid conditions. We examined factors associated with COVID-19 mortality among kidney transplant candidates from the National Scientific Registry of Transplant Recipients from March 1 to December 1, 2020. We evaluated crude rates and multivariable incident rate ratios (IRR) of COVID-19 mortality. There were 131 659 candidates during the study period with 3534 all-cause deaths and 384 denoted a COVID-19 cause (5.00/1000 person years). Factors associated with increased COVID-19 mortality included increased age, males, higher body mass index, and diabetes. In addition, Blacks (IRR = 1.96, 95% C.I.: 1.43-2.69) and Hispanics (IRR = 3.38, 95% C.I.: 2.46-4.66) had higher COVID-19 mortality relative to Whites. Patients with lower educational attainment, high school or less (IRR = 1.93, 95% C.I.: 1.19-3.12, relative to post-graduate), Medicaid insurance (IRR = 1.73, 95% C.I.: 1.26-2.39, relative to private), residence in most distressed neighborhoods (fifth quintile IRR = 1.93, 95% C.I.: 1.28-2.90, relative to first quintile), and most urban and most rural had higher adjusted rates of COVID-19 mortality. Among kidney transplant candidates in the United States, social determinants of health in addition to demographic and clinical factors are significantly associated with COVID-19 mortality.
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Affiliation(s)
- Jesse D. Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA,Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA,Correspondence Jesse D. Schold, Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA,The Columbia University Renal Epidemiology Group, Columbia University, New York, New York, USA
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA,The Columbia University Renal Epidemiology Group, Columbia University, New York, New York, USA
| | - Emilio D. Poggio
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Laura D. Buccini
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA,The Columbia University Renal Epidemiology Group, Columbia University, New York, New York, USA
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Tsapepas D, Husain SA, King KL, Burgos Y, Cohen DJ, Mohan S. Perspectives on COVID-19 vaccination among kidney and pancreas transplant recipients living in New York City. Am J Health Syst Pharm 2021; 78:2040-2045. [PMID: 34185824 PMCID: PMC8344809 DOI: 10.1093/ajhp/zxab272] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Purpose Solid organ transplant recipients are at increased risk of morbidity and mortality from coronavirus disease 2019 (COVID-19), but limited vaccine access and vaccine hesitancy can complicate efforts for expanded vaccination. We report patient perspectives and outcomes from a vaccine outreach initiative for a vulnerable population of transplant recipients living in New York City. Methods This was a retrospective review of qualitative perspectives from a COVID-19 vaccine outreach initiative. In the outreach effort, kidney and pancreas transplant recipients under care at the transplant center at NewYork-Presbyterian Hospital were initially contacted electronically with educational material about vaccination followed by telephone outreach to eligible unvaccinated patients. Calls were used to schedule vaccine appointments for patients who agreed, answer questions, and assess attitudes and concerns for patients not yet ready to be vaccinated, with conversational themes recorded. Results Of the 1,078 patients living in the 5 New York City boroughs who had not reported receiving COVID-19 vaccination, 320 eligible patients were contacted by telephone. Of these, 210 patients were scheduled for vaccination at our vaccine site (including 13 who agreed to vaccination after initially declining), while 110 patients were either not ready or not interested in being vaccinated. The total number of patients willing to be vaccinated was 554 when also including those already vaccinated. Unwillingness to be vaccinated was associated with younger age (median age of 47 vs 60 years, P < 0.001), Black race (P = 0.004), and residence in Bronx or Brooklyn counties (P = 0.018) or a zip code with a medium level of poverty (P = 0.044). The most common issues raised by patients who were ambivalent or not interested in vaccination were regarding unknown safety of the vaccines in general, a belief that there was a lack of data about the vaccines in transplant recipients, and a lack of trust in the scientific process underlying vaccine development, with 34% of the patients contacted expressing vaccine hesitancy overall. Conclusion Our qualitative summary identifies determinants of COVID-19 vaccine hesitancy in a diverse transplant patient population, supporting the need for transplant centers to implement tailored interventions to increase vaccine acceptance in this vulnerable population.
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Affiliation(s)
- Demetra Tsapepas
- NewYork-Presbyterian Hospital, New York, NY, and Division of Abdominal Transplant, Department of Surgery, Columbia University Medical Center, New York, NY, USA
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Yvonne Burgos
- Division of Abdominal Transplant, Department of Surgery, Columbia University Medical Center, New York, NY, USA
| | - David J Cohen
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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Husain SA, King KL, Coley S, Natarajan K, Perotte A, Mohan S. Association between procurement biopsy findings and deceased donor kidney outcomes: a paired kidney analysis. Transpl Int 2021; 34:1239-1250. [PMID: 33964036 DOI: 10.1111/tri.13899] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 02/23/2021] [Revised: 04/06/2021] [Accepted: 05/03/2021] [Indexed: 11/29/2022]
Abstract
Unfavourable procurement biopsy findings are the most common reason for deceased donor kidney discard in the United States. We sought to assess the association between biopsy findings and post-transplant outcomes when donor characteristics are accounted for. We used registry data to identify 1566 deceased donors of 3132 transplanted kidneys (2015-2020) with discordant right/left procurement biopsy classification and performed time-to-event analyses to determine the association between optimal histology and hazard of death-censored graft failure or death. We then repeated all analyses using a local cohort of 147 donors of kidney pairs with detailed procurement histology data available (2006-2016). Among transplanted kidney pairs in the national cohort, there were no significant differences in incidence of delayed graft function or primary nonfunction. Time to death-censored graft failure was not significantly different between recipients of optimal versus suboptimal kidneys. Results were similar in analyses using the local cohort. Regarding recipient survival, analysis of the national, but not local, cohort showed optimal kidneys were associated with a lower hazard of death (adjusted HR 0.68, 95% CI 0.52-0.90, P = 0.006). In conclusion, in a large national cohort of deceased donor kidney pairs with discordant right/left procurement biopsy findings, we found no association between histology and death-censored graft survival.
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Affiliation(s)
- Syed Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, NY, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, NY, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Shana Coley
- Department of Pathology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, NY, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, NY, USA.,The 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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33
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Adler JT, Husain SA, King KL, Mohan S. Greater complexity and monitoring of the new Kidney Allocation System: Implications and unintended consequences of concentric circle kidney allocation on network complexity. Am J Transplant 2021; 21:2007-2013. [PMID: 33314637 DOI: 10.1111/ajt.16441] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [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: 10/29/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 01/25/2023]
Abstract
The deceased donor kidney allocation system in the United States has undergone several rounds of iterative changes, but these changes were not explicitly designed to address the geographic variation in access to transplantation. The new allocation system, expected to start in December 2020, changes the definition of "local allocation" from the Donation Service Area to 250 nautical mile circles originating from the donor hospital. While other solid organs have adopted a similar approach, the larger number of both kidney transplant centers and transplant candidates is likely to have different consequences. Here, we discuss the incredible increase in complexity in allocation, discuss some of the likely intended and unintended consequences, and propose metrics to monitor the new system.
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Affiliation(s)
- Joel T Adler
- Department of Surgery, Division of Transplant Surgery, Brigham and Women's Hospital, Boston, Massachusetts.,Center for Surgery and Public Health at Brigham and Women's Hospital, Boston, Massachusetts
| | - Syed A Husain
- Department of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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34
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Husain SA, King KL, Sanichar N, Crew RJ, Schold JD, Mohan S. Association Between Donor-Recipient Biological Relationship and Allograft Outcomes After Living Donor Kidney Transplant. JAMA Netw Open 2021; 4:e215718. [PMID: 33847748 PMCID: PMC8044734 DOI: 10.1001/jamanetworkopen.2021.5718] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE The proportion of living donor kidney transplants from donors unrelated to their recipients is increasing in the US. OBJECTIVE To examine the association between donor-recipient biological relationship and allograft survival after living donor kidney transplant. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used Organ Procurement and Transplantation Network data on US adult living donor kidney transplants (n = 86 154) performed from January 1, 2000, to December 31, 2014, excluding cases in which recipients previously received a kidney transplant (n = 10 342) or key data were missing (n = 2832). Last follow-up was March 20, 2020. EXPOSURES Donor-recipient biological relationship. MAIN OUTCOMES AND MEASURES The primary outcome was death-censored allograft failure. Univariate and multivariable time-to-event analyses were performed for death-censored allograft failure for the overall cohort, then separately for recipients with and without primary diagnoses of cystic kidney disease and for transplants from African American and non-African American donors. RESULTS Among the 72 980 transplant donor and recipients included in the study (median donor age, 41 years; interquartile range [IQR], 32-50 years; 43 990 [60%] female; 50 014 [69%] White), 43 174 (59%) donors and recipients were biologically related and 29 806 (41%) were unrelated. Donors related to their recipients were younger (median [IQR] age, 39 [31-48] vs 44 [35-52] years) and less likely to be female (24 848 [58%] vs 19 142 [64%]) or White (26 933 [62%] vs 23 081 [77%]). Recipients related to their donors were younger (median [IQR] age, 48 [34-58] vs 50 [40-58] years), more likely to be female (18 035 [42%] vs 10 530 [35%]), and less likely to have cystic kidney disease (2530 [6%] vs 4600 [15%]). Related pairs had fewer HLA mismatches overall (median [IQR], 3 [2-3] vs 5 [4-5]). After adjustment for HLA mismatches, donor and recipient characteristics, and transplant era, donor-recipient biological relationship was associated with higher death-censored allograft failure (hazard ratio, 1.05; 95% CI, 1.01-1.10; P = .03). When stratified by primary disease, this association persisted only for recipients without cystic kidney disease. When stratified by donor race, this association persisted only for transplants from African American donors. CONCLUSIONS AND RELEVANCE In this cohort study, living donor kidney transplants from donors biologically related to their recipients had higher rates of allograft failure than transplants from donors unrelated to their recipients after HLA matching was accounted for. Further study is needed to determine which genetic or socioenvironmental factors are associated with this finding.
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Affiliation(s)
- S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Navin Sanichar
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - R. John Crew
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York
| | - Jesse D. Schold
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Abstract
Cognitive biases shown to impact medical decision-making include left-digit bias, the tendency to focus on a continuous variable's leftmost digit. We hypothesized that left-digit bias impacts deceased donor kidney utilization through heuristic processing of donor age and creatinine. We used US registry data to identify 87 019 kidneys recovered (2015-2019) and compared the proportion around thresholds for donor age (69 vs. 70 years) and creatinine (1.9 vs. 2.0 mg/dl), then compared the risk of kidney discard. Kidneys from donors aged 70 vs. 69 years were more frequently discarded (77% vs. 65%, p < .001), with higher risk of discard even after adjusting for KDRI (adjusted RR 1.11, 95% CI 1.02-1.21, p = .018). Similarly, kidneys from donors with final creatinine 2.0 vs. 1.9 mg/dl were more frequently discarded (37% vs. 29%, p < .001), with higher risk of discard after adjusting for KDRI (adjusted RR 1.19, 95% CI 1.07-1.33, p = .001). However, no significant left-digit effect was found when examining other donor age (39/40, 49/50, 59/60 years) or creatinine (0.9/1.0, 2.9/3.0 mg/dl) thresholds. The findings suggest a possible left-digit effect affecting kidney utilization at specific thresholds. Additional investigations of the impact of this and other heuristics on organ utilization are needed to identify potential areas for decision-making interventions aimed at reducing kidney discard.
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Affiliation(s)
- S Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA.,The Columbia University Renal Epidemiology (CURE) Group, New York, NY, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA.,The 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.,The 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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Reese PP, Mohan S, King KL, Williams WW, Potluri VS, Harhay MN, Eneanya ND. Racial disparities in preemptive waitlisting and deceased donor kidney transplantation: Ethics and solutions. Am J Transplant 2021; 21:958-967. [PMID: 33151614 DOI: 10.1111/ajt.16392] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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: 08/03/2020] [Revised: 10/04/2020] [Accepted: 10/27/2020] [Indexed: 01/25/2023]
Abstract
Kidney transplantation prior to dialysis, known as "preemptive transplant," enables patients to live longer and avoid the substantial quality of life burdens due to chronic dialysis. Deceased donor kidneys are a public resource that ought to provide health benefits equitably. Unfortunately, White, better educated, and privately insured patients enjoy disproportionate access to preemptive transplantation using deceased donor kidneys. This problem has persisted for decades and is exacerbated by the first-come, first-served approach to kidney allocation for predialysis patients. In this Personal Viewpoint, we describe the diverse barriers to preemptive waitlisting and kidney transplant. The analysis focuses on healthcare system features that particularly disadvantage Black patients, such as the waitlisting eligibility criterion of a single glomerular filtration rate or creatinine clearance ≤20 ml/min, and neglect of wide variation in the rate of progression to end-stage kidney disease (ESKD) in allocating preemptive transplants. We propose initiatives to improve equity including: (1) standardization of waitlisting eligibility criteria related to kidney function; (2) aggressive education for clinicians about early transplant referral; (3) innovations in electronic medical record capabilities; and (4) rapid status 7 listing by centers. If those initiatives fail, the transplant field should consider eliminating preemptive waitlisting and transplantation with deceased donor kidneys.
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Affiliation(s)
- Peter P Reese
- Department of Medicine, Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York
| | - Winfred W Williams
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Vishnu S Potluri
- Department of Medicine, Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Meera N Harhay
- Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania.,Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania.,Tower Health Transplant Institute, Tower Health System, West Reading, Pennsylvania
| | - Nwamaka D Eneanya
- Department of Medicine, Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
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37
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Stevens JS, King KL, Robbins-Juarez SY, Khairallah P, Toma K, Alvarado Verduzco H, Daniel E, Douglas D, Moses AA, Peleg Y, Starakiewicz P, Li MT, Kim DW, Yu K, Qian L, Shah VH, O'Donnell MR, Cummings MJ, Zucker J, Natarajan K, Perotte A, Tsapepas D, Krzysztof K, Dube G, Siddall E, Shirazian S, Nickolas TL, Rao MK, Barasch JM, Valeri AM, Radhakrishnan J, Gharavi AG, Husain SA, Mohan S. High rate of renal recovery in survivors of COVID-19 associated acute renal failure requiring renal replacement therapy. PLoS One 2020; 15:e0244131. [PMID: 33370368 PMCID: PMC7769434 DOI: 10.1371/journal.pone.0244131] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [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: 08/08/2020] [Accepted: 12/03/2020] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION A large proportion of patients with COVID-19 develop acute kidney injury (AKI). While the most severe of these cases require renal replacement therapy (RRT), little is known about their clinical course. METHODS We describe the clinical characteristics of COVID-19 patients in the ICU with AKI requiring RRT at an academic medical center in New York City and followed patients for outcomes of death and renal recovery using time-to-event analyses. RESULTS Our cohort of 115 patients represented 23% of all ICU admissions at our center, with a peak prevalence of 29%. Patients were followed for a median of 29 days (2542 total patient-RRT-days; median 54 days for survivors). Mechanical ventilation and vasopressor use were common (99% and 84%, respectively), and the median Sequential Organ Function Assessment (SOFA) score was 14. By the end of follow-up 51% died, 41% recovered kidney function (84% of survivors), and 8% still needed RRT (survival probability at 60 days: 0.46 [95% CI: 0.36-0.56])). In an adjusted Cox model, coronary artery disease and chronic obstructive pulmonary disease were associated with increased mortality (HRs: 3.99 [95% CI 1.46-10.90] and 3.10 [95% CI 1.25-7.66]) as were angiotensin-converting-enzyme inhibitors (HR 2.33 [95% CI 1.21-4.47]) and a SOFA score >15 (HR 3.46 [95% CI 1.65-7.25). CONCLUSIONS AND RELEVANCE Our analysis demonstrates the high prevalence of AKI requiring RRT among critically ill patients with COVID-19 and is associated with a high mortality, however, the rate of renal recovery is high among survivors and should inform shared-decision making.
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Affiliation(s)
- Jacob S. Stevens
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
- * E-mail:
| | - Kristen L. King
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
| | - Shelief Y. Robbins-Juarez
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Pascale Khairallah
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Katherine Toma
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Hector Alvarado Verduzco
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Emily Daniel
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Denzil Douglas
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Andrew A. Moses
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Yonatan Peleg
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Piotr Starakiewicz
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Miah T. Li
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
| | - Daniel W. Kim
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
| | - Kathleen Yu
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Long Qian
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Vaqar H. Shah
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Max R. O'Donnell
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Matthew J. Cummings
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Jason Zucker
- Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University, New York, NY, United States of America
| | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, NY, United States of America
| | - Demetra Tsapepas
- Department of Pharmacy, New-York Presbyterian Hospital, New York, NY, United States of America
- Department of Quality, New-York Presbyterian Hospital, New York, NY, United States of America
| | - Kiryluk Krzysztof
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Geoffrey Dube
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Eric Siddall
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Shayan Shirazian
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Thomas L. Nickolas
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Maya K. Rao
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Jonathan M. Barasch
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Anthony M. Valeri
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Jai Radhakrishnan
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Ali G. Gharavi
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - S. Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States of America
- Columbia University Renal Epidemiology Group, New York, NY, United States of America
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
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King KL, Husain SA, Schold JD, Patzer RE, Reese PP, Jin Z, Ratner LE, Cohen DJ, Pastan SO, Mohan S. Major Variation across Local Transplant Centers in Probability of Kidney Transplant for Wait-Listed Patients. J Am Soc Nephrol 2020; 31:2900-2911. [PMID: 33037131 PMCID: PMC7790218 DOI: 10.1681/asn.2020030335] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [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: 03/20/2020] [Accepted: 08/06/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Geographic disparities in access to deceased donor kidney transplantation persist in the United States under the Kidney Allocation System (KAS) introduced in 2014, and the effect of transplant center practices on the probability of transplantation for wait-listed patients remains unclear. METHODS To compare probability of transplantation across centers nationally and within donation service areas (DSAs), we conducted a registry study that included all United States incident adult kidney transplant candidates wait listed in 2011 and 2015 (pre-KAS and post-KAS cohorts comprising 32,745 and 34,728 individuals, respectively). For each center, we calculated the probability of deceased donor kidney transplantation within 3 years of wait listing using competing risk regression, with living donor transplantation, death, and waiting list removal as competing events. We examined associations between center-level and DSA-level characteristics and the adjusted probability of transplant. RESULTS Candidates received deceased donor kidney transplants within 3 years of wait listing more frequently post-KAS (22%) than pre-KAS (19%). Nationally, the probability of transplant varied 16-fold between centers, ranging from 4.0% to 64.2% in the post-KAS era. Within DSAs, we observed a median 2.3-fold variation between centers, with up to ten-fold and 57.4 percentage point differences. Probability of transplantation was correlated in the post-KAS cohort with center willingness to accept hard-to-place kidneys (r=0.55, P<0.001) and local organ supply (r=0.44, P<0.001). CONCLUSIONS Large differences in the adjusted probability of deceased donor kidney transplantation persist under KAS, even between centers working with the same local organ supply. Probability of transplantation is significantly associated with organ offer acceptance patterns at transplant centers, underscoring the need for greater understanding of how centers make decisions about organs offered to wait-listed patients and how they relate to disparities in access to transplantation.
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Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- The Columbia University Renal Epidemiology Group, New York, New York
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- The Columbia University Renal Epidemiology Group, New York, New York
| | - Jesse D Schold
- Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | - Rachel E Patzer
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Peter P Reese
- Renal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zhezhen Jin
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Lloyd E Ratner
- Department of Surgery, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York
| | - David J Cohen
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Stephen O Pastan
- Renal Division, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- The Columbia University Renal Epidemiology Group, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Stevens JS, Xu K, Corker A, Gopal TS, Sayan OR, Geraghty EP, Yaeh AM, Kosuri YD, Burton JR, Lincoln SV, Callahan MP, Breheney RK, Beenken AS, Gamino JN, Felman AE, Gehani A, Giordano HA, Gozali A, Guerrero Herrera EF, Hatcher BA, Kheir LA, Li Y, Mitsui EK, Nha JI, Sayan AT, Spaiser SJ, Arumugam S, Sia SK, King KL, Mohan S, Barasch J. Rule Out Acute Kidney Injury in the Emergency Department With a Urinary Dipstick. Kidney Int Rep 2020; 5:1982-1992. [PMID: 33163719 PMCID: PMC7609964 DOI: 10.1016/j.ekir.2020.09.006] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/24/2020] [Accepted: 09/01/2020] [Indexed: 12/11/2022] Open
Abstract
Introduction The identification of acute injury of the kidney relies on serum creatinine (SCr), a functional marker with poor temporal resolution as well as limited sensitivity and specificity for cellular injury. In contrast, urinary biomarkers of kidney injury have the potential to detect cellular stress and damage in real time. Methods To detect the response of the kidney to injury, we have tested a lateral flow dipstick that measures a urinary protein called neutrophil gelatinase-associated lipocalin (NGAL). Analysis of urine was performed in a prospective cohort of 479 patients (final cohort N = 426) entering an emergency department in New York City and subsequently admitted for inpatient care. Results Colorimetric development had high interrater reliability (88% concordance rate) and correlated with traditional enzyme-linked immunosorbent assay (ELISA) measurements (ρ = 0.732, P < .0001). Of the 14% of the cohort who met Acute Kidney Injury Network (AKIN) SCr criteria for acute kidney injury (AKI), 67% demonstrated transient (<2 days) and 33% demonstrated sustained (>2 days) elevation of SCr. Comparing the outcomes of patients with sustained versus transient or undetectable changes in SCr revealed that the urinary NGAL (uNGAL) dipstick had high specificity and negative predictive value (NPV) (high- vs. low-intermediate readings, sensitivity = 0.55, specificity = 0.91, positive predictive value = 0.24, NPV = 0.97, χ2 = 20.39, P < 0.001). Conclusion We show that the introduction of a bedside uNGAL dipstick permits accurate triage by identifying individuals who do not have tubular injury. In an era of shortening length of stay and rapid decisions based on isolated SCr measurements, real-time exclusion of kidney injury by a dipstick will be particularly useful to overcome the retrospective, insensitive, and nonspecific attributes of SCr.
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Affiliation(s)
- Jacob S Stevens
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Katherine Xu
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Alexa Corker
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Tejashree S Gopal
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Osman R Sayan
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Erin P Geraghty
- Internal Medicine Residency, Columbia University Irving Medical Center, New York, New York, USA
| | - Andrew M Yaeh
- Internal Medicine Residency, Columbia University Irving Medical Center, New York, New York, USA
| | - Yaagnik D Kosuri
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - John R Burton
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Saul V Lincoln
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Miriam P Callahan
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Rebecca K Breheney
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Andrew S Beenken
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Juliana N Gamino
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Ariel E Felman
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Anjali Gehani
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Hayley A Giordano
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Aileen Gozali
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Britney A Hatcher
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Lena A Kheir
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Yuanji Li
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Erika K Mitsui
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Jae I Nha
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Alexander T Sayan
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Samuel J Spaiser
- Emergency Department, Columbia University Irving Medical Center, New York, New York, USA
| | - Siddarth Arumugam
- Biomedical Engineering, Columbia University, New York, New York, USA
| | - Samuel K Sia
- Biomedical Engineering, Columbia University, New York, New York, USA
| | - Kristen L King
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
| | - Sumit Mohan
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Jonathan Barasch
- Division of Nephrology, Columbia University Irving Medical Center, New York, New York, USA
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Husain SA, Shah V, Alvarado Verduzco H, King KL, Brennan C, Batal I, Coley SM, Hall IE, Stokes MB, Dube GK, Crew RJ, Perotte A, Natarajan K, Carpenter D, Sandoval PR, Santoriello D, D’Agati V, Cohen DJ, Ratner L, Markowitz G, Mohan S. Impact of Deceased Donor Kidney Procurement Biopsy Technique on Histologic Accuracy. Kidney Int Rep 2020; 5:1906-1913. [PMID: 33163711 PMCID: PMC7609887 DOI: 10.1016/j.ekir.2020.08.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/27/2020] [Accepted: 08/04/2020] [Indexed: 11/26/2022] Open
Abstract
Introduction The factors that influence deceased donor kidney procurement biopsy reliability are not well established. We examined the impact of biopsy technique and pathologist training on procurement biopsy accuracy. Methods We retrospectively identified all deceased donor kidney-only transplants at our center from 2006 to 2016 with both procurement and reperfusion biopsies performed and information available on procurement biopsy technique and pathologist (n = 392). Biopsies were scored using a previously validated system, classifying “suboptimal” histology as the presence of at least 1 of the following: glomerulosclerosis ≥11%, moderate/severe interstitial fibrosis/tubular atrophy, or moderate/severe vascular disease. We calculated relative risk ratios (RRR) to determine the influence of technique (core vs. wedge) and pathologist (renal vs. nonrenal) on concordance between procurement and reperfusion biopsy histologic classification. Results A total of 171 (44%) procurement biopsies used wedge technique, and 221 (56%) used core technique. Results of only 36 biopsies (9%) were interpreted by renal pathologists. Correlation between procurement and reperfusion glomerulosclerosis was poor for both wedge (r2 = 0.11) and core (r2 = 0.14) biopsies. Overall, 34% of kidneys had discordant classification on procurement versus reperfusion biopsy. Neither biopsy technique nor pathologist training was associated with concordance between procurement and reperfusion histology, but a larger number of sampled glomeruli was associated with a higher likelihood of concordance (adjusted RRR = 1.12 per 10 glomeruli, 95% confidence interval = 1.04−1.22). Conclusions Biopsy technique and pathologist training were not associated with procurement biopsy histologic accuracy in this retrospective study. Prospective trials are needed to determine how to optimize procurement biopsy practices.
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Affiliation(s)
- S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Correspondence: S. Ali Husain, Division of Nephrology, Department of Medicine, 622 West 168th Street PH4-124, New York, New York 10032, USA.
| | - Vaqar Shah
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Hector Alvarado Verduzco
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Corey Brennan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Ibrahim Batal
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Shana M. Coley
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Isaac E. Hall
- Department of Medicine, Division of Nephrology and Hypertension, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - M. Barry Stokes
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Geoffrey K. Dube
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - R. John Crew
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Dustin Carpenter
- Department of Surgery, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - P. Rodrigo Sandoval
- Department of Surgery, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Dominick Santoriello
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Vivette D’Agati
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - David J. Cohen
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Lloyd Ratner
- Department of Surgery, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Glen Markowitz
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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41
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Robbins-Juarez SY, Qian L, King KL, Stevens JS, Husain SA, Radhakrishnan J, Mohan S. Outcomes for Patients With COVID-19 and Acute Kidney Injury: A Systematic Review and Meta-Analysis. Kidney Int Rep 2020; 5:1149-1160. [PMID: 32775814 PMCID: PMC7314696 DOI: 10.1016/j.ekir.2020.06.013] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 06/17/2020] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION There are limited data on the association of kidney dysfunction with prognosis in coronavirus disease 2019 (COVID-19), and the extent to which acute kidney injury (AKI) predisposes patients to severe illness and inferior outcomes is unclear. We aim to assess the incidence of AKI among patients with COVID-19 and examine their associations with patient outcomes as reported in the available literature thus far. METHODS We systematically searched MEDLINE, EMBASE, SCOPUS, and MedRxiv databases for full-text articles available in English published from December 1, 2019 to May 24, 2020. Clinical information was extracted and examined from 20 cohorts that met inclusion criteria, covering 13,137 mostly hospitalized patients confirmed to have COVID-19. Two authors independently extracted study characteristics, results, outcomes, study-level risk of bias, and strength of evidence across studies. Neither reviewer was blind to journal titles, study authors, or institutions. RESULTS Median age was 56 years, with 55% male patients. Approximately 43% of patients had severe COVID-19 infection, and approximately 11% died. Prevalence of AKI was 17%; 77% of patients with AKI experienced severe COVID-19 infection, and 52% died. AKI was associated with increased odds of death among COVID-19 patients (pooled odds ratio, 15.27; 95% CI 4.82-48.36), although there was considerable heterogeneity across studies and among different regions in the world. Approximately 5% of all patients required use of renal replacement therapy (RRT). CONCLUSIONS Kidney dysfunction is common among patients with COVID-19, and patients who develop AKI have inferior outcomes. Additional research into management and potential mechanisms of this association is needed.
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Affiliation(s)
- Shelief Y. Robbins-Juarez
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Long Qian
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Jacob S. Stevens
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Jai Radhakrishnan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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42
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Brennan C, Sandoval PR, Husain SA, King KL, Dube GK, Tsapepas D, Mohan S, Ratner LE. Impact of warm ischemia time on outcomes for kidneys donated after cardiac death Post-KAS. Clin Transplant 2020; 34:e14040. [PMID: 32654278 DOI: 10.1111/ctr.14040] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/26/2020] [Accepted: 07/05/2020] [Indexed: 12/22/2022]
Abstract
Prolonged warm (WIT) and cold (CIT) ischemia times are often important considerations in the discard of DCD kidneys, but their impact on post-transplant outcomes in the post-KAS era is unclear. We examined the association of ischemia time on delayed graft function (DGF) and death-censored graft failure for DCD kidneys. The 2018 SRTR SAF was utilized to identify post-KAS DCD kidney transplants occurring from 2015 to 2018. Relative risk and Cox regression were used to calculate risk of delayed graft function and hazard of death-censored graft failure, respectively. We identified 4,680 kidneys from DCD donors transplanted from 2015 to 2018 with recorded WIT and CIT times. Median WIT was 21.0 minutes (IQR 14.0-28.0), and CIT was 18.5 hours (IQR 13.9-23.5). The overall incidence of DGF was 42.7%. In a univariable relative risk regression model, extended CIT (24-30 hours:RR 1.37, 95% CI 1.15-1.77; >30 hours:RR 1.47, 95% CI 1.22-1.77) and WIT (20-40 minutes:RR 1.10, 95% CI 1.03-1.17) were associated with increased risk of DGF. When included in a multivariable model, neither prolonged CIT nor WIT were significantly associated with death-censored graft failure. Prolonged WIT and CIT are associated with increased DGF but not death-censored graft failure in recipients of DCD kidney transplants in the post-KAS era. Extended ischemia alone should not be used as a basis for discard or non-utilization of these organs.
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Affiliation(s)
- Corey Brennan
- The Columbia University Renal Epidemiology (CURE) Group, New York City, New York, USA.,New York- Presbyterian Hospital, New York City, New York, USA
| | - Pedro Rodrigo Sandoval
- Department of Surgery, Columbia University College of Physicians & Surgeons, New York City, New York, USA
| | - Syed Ali Husain
- The Columbia University Renal Epidemiology (CURE) Group, New York City, New York, USA.,Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York City, New York, USA
| | - Kristen L King
- The Columbia University Renal Epidemiology (CURE) Group, New York City, New York, USA.,Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York City, New York, USA
| | - Geoffrey K Dube
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York City, New York, USA
| | - Demetra Tsapepas
- The Columbia University Renal Epidemiology (CURE) Group, New York City, New York, USA.,New York- Presbyterian Hospital, New York City, New York, USA
| | - Sumit Mohan
- The Columbia University Renal Epidemiology (CURE) Group, New York City, New York, USA.,Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York City, New York, USA.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York City, New York, USA
| | - Lloyd E Ratner
- Department of Surgery, Columbia University College of Physicians & Surgeons, New York City, New York, USA
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Johnson LR, Johnson ML, Aronson MFJ, Campbell LK, Carr ME, Clarke M, D’Amico V, Darling L, Erker T, Fahey RT, King KL, Lautar K, Locke DH, Morzillo AT, Pincetl S, Rhodes L, Schmit JP, Scott L, Sonti NF. Conceptualizing social-ecological drivers of change in urban forest patches. Urban Ecosyst 2020. [DOI: 10.1007/s11252-020-00977-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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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: 25] [Impact Index Per Article: 6.3] [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: 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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King KL, Husain SA, Mohan S. Trends in Transplantation Center Use of Kidneys From Deceased Donors With Positive Hepatitis C Virus Nucleic Acid Testing. Am J Kidney Dis 2020; 76:743-746. [PMID: 32479923 DOI: 10.1053/j.ajkd.2020.04.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/29/2020] [Indexed: 12/21/2022]
Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY; Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - S Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY; Columbia University Renal Epidemiology (CURE) Group, New York, NY
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, NY; Columbia University Renal Epidemiology (CURE) Group, New York, NY; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
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Husain SA, King KL, Batal I, Dube GK, Hall IE, Brennan C, Stokes MB, Crew RJ, Carpenter D, Alvarado Verduzco H, Rosen R, Coley S, Campenot E, Santoriello D, Perotte A, Natarajan K, D'Agati VD, Cohen DJ, Ratner LE, Markowitz G, Mohan S. Reproducibility of Deceased Donor Kidney Procurement Biopsies. Clin J Am Soc Nephrol 2020; 15:257-264. [PMID: 31974289 PMCID: PMC7015101 DOI: 10.2215/cjn.09170819] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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: 08/06/2019] [Accepted: 12/05/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND OBJECTIVES Unfavorable histology on procurement biopsies is the most common reason for deceased donor kidney discard. We sought to assess the reproducibility of procurement biopsy findings. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We compiled a continuous cohort of deceased donor kidneys transplanted at our institution from 1/1/2006 to 12/31/2016 that had at least one procurement biopsy performed, and excluded cases with missing biopsy reports and those used in multiorgan transplants. Suboptimal histology was defined as the presence of advanced sclerosis in greater than or equal to one biopsy compartment (glomeruli, tubules/interstitium, vessels). We calculated κ coefficients to assess agreement in optimal versus suboptimal classification between sequential biopsy reports for kidneys that underwent multiple procurement biopsies and used time-to-event analysis to evaluate the association between first versus second biopsies and patient and allograft survival. RESULTS Of the 1011 kidneys included in our cohort, 606 (60%) had multiple procurement biopsies; 98% had first biopsy performed at another organ procurement organization and their second biopsy performed locally. Categorical agreement was highest for vascular disease (κ=0.17) followed by interstitial fibrosis and tubular atrophy (κ=0.12) and glomerulosclerosis (κ=0.12). Overall histologic agreement (optimal versus suboptimal) was κ=0.15. First biopsy histology had no association with allograft survival in unadjusted or adjusted analyses. However, second biopsy optimal histology was associated with a higher probability of death-censored allograft survival, even after adjusting for donor and recipient factors (adjusted hazard ratio, 0.50; 95% confidence interval, 0.34 to 0.75; P=0.001). CONCLUSIONS Deceased donor kidneys that underwent multiple procurement biopsies often displayed substantial differences in histologic categorization in sequential biopsies, and there was no association between first biopsy findings and post-transplant outcomes.
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Affiliation(s)
- S Ali Husain
- Division of Nephrology, Department of Medicine and .,The Columbia University Renal Epidemiology Group, New York, New York
| | - Kristen L King
- Division of Nephrology, Department of Medicine and.,The Columbia University Renal Epidemiology Group, New York, New York
| | | | | | - Isaac E Hall
- Division of Nephrology and Hypertension, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah
| | - Corey Brennan
- The Columbia University Renal Epidemiology Group, New York, New York.,Kidney and Pancreas Transplant Program, New York Presbyterian Hospital, New York, New York
| | | | - R John Crew
- Division of Nephrology, Department of Medicine and
| | - Dustin Carpenter
- Surgery, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York
| | | | | | | | | | | | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, New York; and
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University, New York, New York; and
| | | | | | - Lloyd E Ratner
- Surgery, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York
| | | | - Sumit Mohan
- Division of Nephrology, Department of Medicine and.,The Columbia University Renal Epidemiology Group, New York, New York.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Tsapepas D, King KL, Husain SA, Mohan S. Evaluation of kidney allocation critical data validity in the OPTN registry using dialysis dates. Am J Transplant 2020; 20:318-319. [PMID: 31550418 DOI: 10.1111/ajt.15616] [Citation(s) in RCA: 4] [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: 01/25/2023]
Affiliation(s)
- Demetra Tsapepas
- Department of Analytics, NewYork-Presbyterian Hospital, New York, New York, USA.,Department of Surgery, Division of Transplantation, Columbia University Medical Center, New York, New York
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Syed Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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King KL, Husain SA, Mohan S. Geographic Variation in the Availability of Deceased Donor Kidneys per Wait-Listed Candidate in the United States. Kidney Int Rep 2019; 4:1630-1633. [PMID: 31891004 PMCID: PMC6933455 DOI: 10.1016/j.ekir.2019.08.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 08/19/2019] [Accepted: 08/20/2019] [Indexed: 01/30/2023] Open
Affiliation(s)
- Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
- Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
- Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, New York, USA
- Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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Brennan C, Husain SA, King KL, Tsapepas D, Ratner LE, Jin Z, Schold JD, Mohan S. A Donor Utilization Index to Assess the Utilization and Discard of Deceased Donor Kidneys Perceived as High Risk. Clin J Am Soc Nephrol 2019; 14:1634-1641. [PMID: 31624140 PMCID: PMC6832051 DOI: 10.2215/cjn.02770319] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 03/07/2019] [Accepted: 07/24/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND AND OBJECTIVES An increasing number of patients on the waitlist for a kidney transplant indicates a need to effectively utilize as many deceased donor kidneys as possible while ensuring acceptable outcomes. Assessing regional and center-level organ utilization with regards to discard can reveal regional variation in suboptimal deceased donor kidney acceptance patterns stemming from perceptions of risk. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We created a weighted donor utilization index from a logistic regression model using high-risk donor characteristics and discard rates from 113,640 deceased donor kidneys procured for transplant from 2010 to 2016, and used it to examine deceased donor kidney utilization in 182 adult transplant centers with >15 annual deceased donor kidney transplants. Linear regression and correlation were used to analyze differences in donor utilization indexes. RESULTS The donor utilization index was found to significantly vary by Organ Procurement and Transplantation Network region (P<0.001), revealing geographic trends in kidney utilization. When investigating reasons for this disparity, there was no significant correlation between center volume and donor utilization index, but the percentage of deceased donor kidneys imported from other regions was significantly associated with donor utilization for all centers (rho=0.39; P<0.001). This correlation was found to be particularly strong for region 4 (rho=0.83; P=0.001) and region 9 (rho=0.82; P=0.001). Additionally, 25th percentile time to transplant was weakly associated with the donor utilization index (R 2=0.15; P=0.03). CONCLUSIONS There is marked center-level variation in the use of deceased donor kidneys with less desirable characteristics both within and between regions. Broader utilization was significantly associated with shorter time to transplantation.
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Affiliation(s)
- Corey Brennan
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Transplant Surgery, New York-Presbyterian Hospital, New York, New York
| | - Syed Ali Husain
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Kristen L King
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Demetra Tsapepas
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Transplant Surgery, New York-Presbyterian Hospital, New York, New York
| | - Lloyd E Ratner
- Department of Surgery, Columbia University College of Physicians and Surgeons, New York, New York
| | | | - Jesse D Schold
- Department of Quantitative Health Sciences and.,Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Sumit Mohan
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York; .,Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York; and
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King KL, Husain SA, Jin Z, Brennan C, Mohan S. Trends in Disparities in Preemptive Kidney Transplantation in the United States. Clin J Am Soc Nephrol 2019; 14:1500-1511. [PMID: 31413065 PMCID: PMC6777592 DOI: 10.2215/cjn.03140319] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [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: 03/13/2019] [Accepted: 07/02/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND AND OBJECTIVES Long wait times for deceased donor kidneys and low rates of preemptive wait-listing have limited preemptive transplantation in the United States. We aimed to assess trends in preemptive deceased donor transplantation with the introduction of the new Kidney Allocation System (KAS) in 2014 and identify whether key disparities in preemptive transplantation have changed. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We identified adult deceased donor kidney transplant recipients in the United States from 2000 to 2018 using the Scientific Registry of Transplant Recipients. Preemptive transplantation was defined as no dialysis before transplant. Associations between recipient, donor, transplant, and policy era characteristics and preemptive transplantation were calculated using logistic regression. To test for modification by KAS policy era, an interaction term between policy era and each characteristic of interest was introduced in bivariate and adjusted models. RESULTS The proportion of preemptive transplants increased after implementation of KAS from 9.0% to 9.8%, with 1.10 (95% confidence interval [95% CI], 1.06 to 1.14) times higher odds of preemptive transplantation post-KAS compared with pre-KAS. Preemptive recipients were more likely to be white, older, female, more educated, hold private insurance, and have ESKD cause other than diabetes or hypertension. Policy era significantly modified the association between preemptive transplantation and race, age, insurance status, and Human Leukocyte Antigen zero-mismatch (interaction P<0.05). Medicare patients had a significantly lower odds of preemptive transplantation relative to private insurance holders (pre-KAS adjusted OR, [aOR] 0.26; [95% CI, 0.25 to 0.27], to 0.20 [95% CI, 0.18 to 0.22] post-KAS). Black and Hispanic patients experienced a similar phenomenon (aOR 0.48 [95% CI, 0.45 to 0.51] to 0.41 [95% CI, 0.37 to 0.45] and 0.43 [95% CI, 0.40 to 0.47] to 0.40 [95% CI, 0.36 to 0.46] respectively) compared with white patients. CONCLUSIONS Although the proportion of deceased donor kidney transplants performed preemptively increased slightly after KAS, disparities in preemptive kidney transplantation persisted after the 2014 KAS policy changes and were exacerbated for racial minorities and Medicare patients.
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Affiliation(s)
- Kristen L King
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Syed Ali Husain
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.,The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | | | - Corey Brennan
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York; .,The Columbia University Renal Epidemiology (CURE) Group, New York, New York.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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