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Asfour NW, Zhang KC, Lu J, Reese PP, Saunders M, Peek M, White M, Persad G, Parker WF. Association of Race and Ethnicity With High Longevity Deceased Donor Kidney Transplantation Under the US Kidney Allocation System. Am J Kidney Dis 2024; 84:416-426. [PMID: 38636649 PMCID: PMC11421570 DOI: 10.1053/j.ajkd.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 04/20/2024]
Abstract
RATIONALE & OBJECTIVE The US Kidney Allocation System (KAS) prioritizes candidates with a≤20% estimated posttransplant survival (EPTS) to receive high-longevity kidneys defined by a≤20% Kidney Donor Profile Index (KDPI). Use of EPTS in the KAS deprioritizes candidates with older age, diabetes, and longer dialysis durations. We assessed whether this use also disadvantages race and ethnicity minority candidates, who are younger but more likely to have diabetes and longer durations of kidney failure requiring dialysis. STUDY DESIGN Observational cohort study. SETTING & PARTICIPANTS Adult candidates for and recipients of kidney transplantation represented in the Scientific Registry of Transplant Recipients from January 2015 through December 2020. EXPOSURE Race and ethnicity. OUTCOME Age-adjusted assignment to≤20% EPTS, transplantation of a≤20% KDPI kidney, and posttransplant survival in longevity-matched recipients by race and ethnicity. ANALYTIC APPROACH Multivariable logistic regression, Fine-Gray competing risks survival analysis, and Kaplan-Meier and Cox proportional hazards methods. RESULTS The cohort included 199,444 candidates (7% Asian, 29% Black, 19% Hispanic or Latino, and 43% White) listed for deceased donor kidney transplantation. Non-White candidates had significantly higher rates of diabetes, longer dialysis duration, and were younger than White candidates. Adjusted for age, Asian, Black, and Hispanic or Latino candidates had significantly lower odds of having a ETPS score of≤20% (odds ratio, 0.86 [95% CI, 0.81-0.91], 0.52 [95% CI, 0.50-0.54], and 0.49 [95% CI, 0.47-0.51]), and were less likely to receive a≤20% KDPI kidney (sub-hazard ratio, 0.70 [0.66-0.75], 0.89 [0.87-0.92], and 0.73 [0.71-0.76]) compared with White candidates. Among recipients with≤20% EPTS scores transplanted with a≤20% KDPI deceased donor kidney, Asian and Hispanic recipients had lower posttransplant mortality (HR, 0.45 [0.27-0.77] and 0.63 [0.47-0.86], respectively) and Black recipients had higher but not statistically significant posttransplant mortality (HR, 1.22 [0.99-1.52]) compared with White recipients. LIMITATIONS Provider reported race and ethnicity data and 5-year post transplant follow-up period. CONCLUSIONS The US kidney allocation system is less likely to identify race and ethnicity minority candidates as having a≤20% EPTS score, which triggers allocation of high-longevity deceased donor kidneys. These findings should inform the Organ Procurement and Transplant Network about how to remedy the race and ethnicity disparities introduced through KAS's current approach of allocating allografts with longer predicted longevity to recipients with longer estimated posttransplant survival. PLAIN-LANGUAGE SUMMARY The US Kidney Allocation System prioritizes giving high-longevity, high-quality kidneys to patients on the waiting list who have a high estimated posttransplant survival (EPTS) score. EPTS is calculated based on the patient's age, whether the patient has diabetes, whether the patient has a history of organ transplantation, and the number of years spent on dialysis. Our analyses show that Asian, Black or African American, and Hispanic or Latino patients were less likely to receive high-longevity kidneys compared with White patients, despite having similar or better posttransplant survival outcomes.
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Affiliation(s)
- Nour W Asfour
- Pritzker School of Medicine, University of Chicago, Chicago, Illinois
| | - Kevin C Zhang
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Jessica Lu
- Pritzker School of Medicine, University of Chicago, Chicago, Illinois
| | - Peter P Reese
- Department of Medicine, Renal-Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Milda Saunders
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Monica Peek
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Molly White
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Govind Persad
- Sturm College of Law, University of Denver, Denver, Colorado
| | - William F Parker
- Department of Medicine, University of Chicago, Chicago, Illinois; MacLean Center for Clinical Medical Ethics, University of Chicago, Chicago, Illinois; Department of Public Health Sciences, University of Chicago, Chicago, Illinois.
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Villani V, Bertuzzi L, Butler G, Eliason P, Roberts JW, DePasquale N, Park C, McElroy LM, McDevitt RC. Provision of transplant education for patients starting dialysis: Disparities persist. Heliyon 2024; 10:e36542. [PMID: 39281438 PMCID: PMC11399580 DOI: 10.1016/j.heliyon.2024.e36542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 08/15/2024] [Accepted: 08/19/2024] [Indexed: 09/18/2024] Open
Abstract
Background All patients starting dialysis should be informed of kidney transplant as a renal replacement therapy option. Prior research has shown disparities in provision of this information. In this study, we aimed to identify patient sociodemographic and dialysis facility characteristics associated with not receiving transplant information at the time of dialysis initiation. We additionally sought to determine the association of receiving transplant information with waitlist and transplant outcomes. Methods We retrospectively analyzed CMS-2728 forms filed from 2007 to 2019. The primary outcome was report of provision of information about transplant on the Centers for Medicare and Medicaid Services Form CMS-2728. For patients not informed at the time of dialysis, we collected the reported reason for not being informed (medically unfit, declined information, unsuitable due to age, psychologically unfit, not assessed, or other). Cox proportional-hazards model estimates were used to study determinants of addition to the waitlist and transplant (secondary outcomes). Results Fifteen percent of patients did not receive information about transplant (N = 133,414). Non-informed patients were more likely to be older, female, white, and on Medicare. Patients informed about transplant had a shorter time between end-stage renal disease onset and addition to the waitlist; they also spent a shorter time on the waitlist before receiving a transplant. Patients at chain dialysis facilities were more likely to receive information, but this did not translate into higher waitlist or transplant rates. Patients at independent facilities acquired by chains were more likely to be informed but less likely to be added to the waitlist post acquisition. Conclusions Disparities continue to persist in providing information about transplant at initiation of dialysis. Patients who are not informed have reduced access to the transplant waitlist and transplant. Maximizing the number of patients informed could increase the number of patients referred to transplant centers, and ultimately transplanted. However, policy actions should account for differences in protocols stemming from facility ownership.
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Affiliation(s)
- Vincenzo Villani
- Department of Surgery, McGovern Medical School, UT Health Houston, Houston, TX, USA
| | | | - Gabriel Butler
- Federal Reserve Bank of Philadelphia, Philadelphia, PA, USA
| | - Paul Eliason
- Department of Economics, Brigham Young Unviersity, Provo, UT, USA
- National Bureau of Economic Research, Cambridge, MA, USA
| | - James W Roberts
- National Bureau of Economic Research, Cambridge, MA, USA
- Department of Economics, Duke University, USA
| | | | - Christine Park
- Department of Neurological Surgery University of Washington, Seattle, WA, USA
| | | | - Ryan C McDevitt
- Charles River Associates, Boston, MA, USA
- National Bureau of Economic Research, Cambridge, MA, USA
- Department of Economics, Duke University, USA
- Fuqua School of Business, Duke University, Durham, NC, USA
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3
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El-Khoury B, Yang TC. Reviewing Racial Disparities in Living Donor Kidney Transplantation: a Socioecological Approach. J Racial Ethn Health Disparities 2024; 11:928-937. [PMID: 36991297 PMCID: PMC10057682 DOI: 10.1007/s40615-023-01573-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/31/2022] [Accepted: 03/19/2023] [Indexed: 03/31/2023]
Abstract
Despite kidney transplantation having superior outcomes to dialytic therapies, disparities continue to exist among rates of kidney transplantation between Black and non-Hispanic White patients, which cannot be explained by differences in individual characteristics. To better evaluate the persistent Black/White disparities in living kidney transplantation, we review the extant literature and include the critical factors and recent development in living kidney transplantation in the socioecological approach. We also emphasize the potential vertical and hierarchical associations among factors in the socioecological model. Specifically, this review explores the possibility that the relatively low living kidney transplantation among Blacks may be a consequence of individual, interpersonal, and structural inequalities in various social and cultural dimensions. At the individual level, the Black/White differences in socioeconomic conditions and transplant knowledge may account for the low transplantation rates among Blacks. Interpersonally, the relatively weak social support and poor communication between Black patients and their providers may contribute to disparities. At the structural level, the race-based glomerular filtration rate (GFR) calculation that is widely used to screen Black donors is a barrier to receiving living kidney transplantation. This factor is directly related to structural racism in the health care system but its potential impact on living donor transplantation is underexplored. Finally, this literature review emphasizes the current perspective that a race-free GFR should be considered and a multidisciplinary and interprofessional perspective is necessary to devise strategies and interventions to reduce the Black/White disparities in living donor kidney transplantation in the U.S.
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Affiliation(s)
- Bashir El-Khoury
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, USA.
- Civilian Institution Programs, Air Force Institute of Technology, Wright-Patterson Air Force Base, OH, USA.
| | - Tse-Chuan Yang
- Department of Epidemiology, University of Texas Medical Branch, Galveston, USA
- Department of Sociology, University at Albany, State University of New York, Albany, USA
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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] [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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5
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Buford J, Retzloff S, Wilk AS, McPherson L, Harding JL, Pastan SO, Patzer RE. Race, Age, and Kidney Transplant Waitlisting Among Patients Receiving Incident Dialysis in the United States. Kidney Med 2023; 5:100706. [PMID: 37753250 PMCID: PMC10518364 DOI: 10.1016/j.xkme.2023.100706] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023] Open
Abstract
Rationale & Objective Patients with kidney failure from racial and ethnic minority groups and older patients have reduced access to the transplant waitlist relative to White and younger patients. Although racial disparities in the waitlisting group have declined after the 2014 kidney allocation system change, whether there is intersectionality of race and age in waitlisting access is unknown. Study Design Retrospective cohort study. Setting & Participants 439,455 non-Hispanic White and non-Hispanic Black US adults initiating dialysis between 2015 and 2019 were identified from the United States Renal Data System, and followed through 2020. Exposures Patient race and ethnicity (non-Hispanic White and non-Hispanic Black) and age group (18-29, 30-49, 50-64, and 65-80 years). Outcomes Placement on the United Network for Organ Sharing deceased donor waitlist. Analytical Approach Age- and race-stratified waitlisting rates were compared. Multivariable Cox proportional hazards models, censored for death, examined the association between race and waitlisting, and included interaction term for race and age. Results Over a median follow-up period of 1 year, the proportion of non-Hispanic White and non-Hispanic Black patients waitlisted was 20.7% and 20.5%, respectively. In multivariable models, non-Hispanic Black patients were 14% less likely to be waitlisted (aHR, 0.86, 95% CI, 0.77-0.95). Relative differences between non-Hispanic Black and non-Hispanic White patients were different by age group. Non-Hispanic Black patients were 27%, 12%, and 20% less likely to be waitlisted than non-Hispanic White patients for ages 18-29 years (aHR, 0.73; 95% CI, 0.61-0.86), 50-64 (aHR, 0.88; 95% CI, 0.80-0.98), and 65-80 years (aHR, 0.80; 95% CI, 0.71-0.90), respectively, but differences were attenuated among patients aged 30-49 years (aHR, 0.89; 95% CI, 0.77-1.02). Limitations Race and ethnicity data is physician reported, residual confounding, and analysis is limited to non-Hispanic White and non-Hispanic Black patients. Conclusions Racial disparities in waitlisting exist between non-Hispanic Black and non-Hispanic White individuals and are most pronounced among younger patients with kidney failure. Results suggest that interventions to address inequalities in waitlisting may need to be targeted to younger patients with kidney failure. Plain-Language Summary Research has shown that patients from racial and ethnic minority groups and older patients have reduced access to transplant waitlisting relative to White and younger patients; nevertheless, how age impacts racial disparities in waitlisting is unknown. We compared waitlisting between non-Hispanic Black and non-Hispanic White patients with incident kidney failure, within age strata, using registry data for 439,455 US adults starting dialysis (18-80 years) during 2015-2019. Overall, non-Hispanic Black patients were less likely to be waitlisted and relative differences between the two racial groups differed by age. After adjusting for patient-level factors, the largest disparity in waitlisting was observed among adults aged 18-29 years. These results suggest that interventions should target younger adults to reduce disparities in access to kidney transplant waitlisting.
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Affiliation(s)
- Jade Buford
- Regenstrief Institute, Indianapolis, Indiana
| | - Samantha Retzloff
- HIV Surveillance Branch (HSB), Division of HIV Prevention (DHP), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Adam S. Wilk
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Emory University School of Medicine, Atlanta, Georgia
| | - Laura McPherson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Emory University, Emory University School of Medicine, Atlanta, Georgia
| | - Jessica L. Harding
- Department of Epidemiology, Rollins School of Public Health, Emory University, Emory University, Emory University School of Medicine, Atlanta, Georgia
- Division of Transplantation, Department of Surgery, Emory University, Emory University School of Medicine, Atlanta, Georgia
- Health Services Research Center, Emory University School of Medicine, Emory University, Emory University School of Medicine, Atlanta, Georgia
| | - Stephen O. Pastan
- Department of Medicine, Renal Division, Emory University, Emory University School of Medicine, Atlanta, Georgia
| | - Rachel E. Patzer
- Regenstrief Institute, Indianapolis, Indiana
- Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana
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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] [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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Lombardi CV, Lang JJ, Li MH, Siddique AB, Koizumi N, Ekwenna O. The Impact of the COVID-19 Pandemic on Kidney Transplant Candidate Waitlist Status across Demographic and Geographic Groups: A National Analysis of UNOS STAR Data. Healthcare (Basel) 2023; 11:healthcare11040612. [PMID: 36833146 PMCID: PMC9956325 DOI: 10.3390/healthcare11040612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 02/09/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
The primary goal of this retrospective study is to understand how the COVID-19 pandemic differentially impacted transplant status across race, sex, age, primary insurance, and geographic regions by examining which candidates: (i) remained on the waitlist, (ii) received transplants, or (iii) were removed from the waitlist due to severe sickness or death on a national level. Methods: The trend analysis aggregated by monthly transplant data from 1 December 2019 to 31 May 2021 (18 months) at the transplant center level. Ten variables about every transplant candidate were extracted from UNOS standard transplant analysis and research (STAR) data and analyzed. Characteristics of demographical groups were analyzed bivariately using t-test or Mann-Whitney U test for continuous variables and using Chi-sq/Fishers exact tests for categorical variables. Results: The trend analysis with the study period of 18 months included 31,336 transplants across 327 transplant centers. Patients experienced a longer waiting time when their registration centers in a county where high numbers of COVID-19 deaths were observed (SHR < 0.9999, p < 0.01). White candidates had a more significant transplant rate reduction than minority candidates (-32.19% vs. -20.15%) while minority candidates were found to have a higher waitlist removal rate than White candidates (9.23% vs. 9.45%). Compared to minority patients, White candidates' sub-distribution hazard ratio of the transplant waiting time was reduced by 55% during the pandemic period. Candidates in the Northwest United States had a more significant reduction in the transplant rate and a greater increase in the removal rate during the pandemic period. Conclusions: Based on this study, waitlist status and disposition varied significantly based on patient sociodemographic factors. During the pandemic period, minority patients, those with public insurance, older patients, and those in counties with high numbers of COVID-19 deaths experienced longer wait times. In contrast, older, White, male, Medicare, and high CPRA patients had a statistically significant higher risk of waitlist removal due to severe sickness or death. The results of this study should be considered carefully as we approach a reopening world post-COVID-19, and further studies should be conducted to elucidate the relationship between transplant candidate sociodemographic status and medical outcomes during this era.
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Affiliation(s)
- Conner V. Lombardi
- Department of Urology and Transplantation, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | - Jacob J. Lang
- Department of Urology and Transplantation, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | - Meng-Hao Li
- Schar School of Policy and Government, George Mason University, Fairfax, VA 22030, USA
| | - Abu Bakkar Siddique
- Schar School of Policy and Government, George Mason University, Fairfax, VA 22030, USA
| | - Naoru Koizumi
- Schar School of Policy and Government, George Mason University, Fairfax, VA 22030, USA
| | - Obi Ekwenna
- Department of Urology and Transplantation, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
- Correspondence:
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8
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Morenz A, Perkins J, Dick A, Young B, Ng YH. Reexamining the Impact of Insurance Type on Kidney Transplant Waitlist Status and Posttransplantation Outcomes in the United States After Implementation of the Affordable Care Act. Transplant Direct 2023; 9:e1442. [PMID: 36743233 PMCID: PMC9891441 DOI: 10.1097/txd.0000000000001442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/21/2022] [Accepted: 12/15/2022] [Indexed: 01/27/2023] Open
Abstract
Insurance type, a marker of socioeconomic status, has been associated with poor access to kidney transplant (KT) and worse KT outcomes before the implementation of the Affordable Care Act (ACA) and the revised Kidney Allocation System (KAS). In this study, we assessed if insurance type remained a risk marker for worse waitlist and transplant outcomes after ACA and KAS. Methods Using Scientific Registry of Transplant Recipients data, we assessed insurance type of waitlisted candidates pre- (2008-2014) versus post- (2014-2021) KAS/ACA using chi-square tests. Next, we performed a competing risk analysis to study the effect of private versus public (Medicare, Medicaid, or government-sponsored) insurance on waitlist outcomes and a Cox survival analysis to study posttransplant outcomes while controlling for candidate, and recipient and donor variables, respectively. Results The proportion of overall KT candidates insured by Medicaid increased from pre-KAS/ACA to post-KAS/ACA (from 12 667 [7.3%] to 21 768 [8.8%], P < 0.0001). However, KT candidates with public insurance were more likely to have died or become too sick for KT (subdistribution hazard ratio [SHR] = 1.33, confidence interval [CI], 1.30-1.36) or to receive a deceased donor KT (SHR = 1.57, CI, 1.54-1.60) but less likely to receive a living donor KT (SHR = 0.87, CI, 0.85-0.89). Post-KT, KT recipients with public insurance had greater risk of mortality (relative risks = 1.22, CI, 1.15-1.31) and allograft failure (relative risks = 1.10, CI, 1.03-1.29). Conclusions Although the implementation of ACA marginally increased the proportion of waitlisted candidates with Medicaid, publicly insured KT candidates remained at greater risk of being removed from the waitlist, had lower probability of living donor kidney transplantation, and had greater probability of dying post-KT and allograft failure. Concerted efforts to address factors contributing to these inequities in future studies are needed, with the goal of achieving equity in KT for all.
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Affiliation(s)
- Anna Morenz
- Department of Medicine, University of Washington, Seattle, WA
| | - James Perkins
- Clinical and Bio-Analytics Transplant Laboratory (CBATL), Department of Surgery, University of Washington, Seattle, WA
- Division of Transplantation, Department of Surgery, University of Washington, Seattle, WA
| | - André Dick
- Clinical and Bio-Analytics Transplant Laboratory (CBATL), Department of Surgery, University of Washington, Seattle, WA
- Division of Transplantation, Department of Surgery, Seattle Children’s Hospital, Seattle, WA
| | - Bessie Young
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
| | - Yue-Harn Ng
- Clinical and Bio-Analytics Transplant Laboratory (CBATL), Department of Surgery, University of Washington, Seattle, WA
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
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Udyavar NR, Ahn J, Crepeau P, Morris-Wiseman LF, Thompson V, Chen Y, Segev DL, McAdams-DeMarco M, Mathur A. Black patients are more likely to undergo parathyroidectomy for secondary hyperparathyroidism. Surgery 2023; 173:111-116. [PMID: 36195501 PMCID: PMC10443691 DOI: 10.1016/j.surg.2022.05.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/22/2022] [Accepted: 05/30/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Prior studies have demonstrated racial disparities in the severity of secondary hyperparathyroidism among dialysis patients. Our primary objective was to study the racial and socioeconomic differences in the timing and likelihood of parathyroidectomy in patients with secondary hyperparathyroidism. METHODS We used the United States Renal Data System to identify 634,428 adult (age ≥18) patients who were on maintenance dialysis between 2006 and 2016 with Medicare as their primary payor. Adjusted multivariable Cox regression was performed to quantify the differences in parathyroidectomy by race. RESULTS Of this cohort, 27.3% (173,267) were of Black race. Compared to 15.4% of White patients, 23.1% of Black patients lived in a neighborhood that was below a predefined poverty level (P < .001). The cumulative incidence of parathyroidectomy at 10 years after dialysis initiation was 8.8% among Black patients compared to 4.3% among White patients (P < .001). On univariable analysis, Black patients were more likely to undergo parathyroidectomy (adjusted hazard ratio = 1.83; 95% confidence interval, 1.74-1.93). This association persisted after adjusting for age, sex, cause of end-stage renal disease, body mass index, comorbidities, dialysis modality, and poverty level (adjusted hazard ratio = 1.35; 95% confidence interval, 1.27-1.43). Therefore, patient characteristics and socioeconomic status explained 26% of the association between race and likelihood of parathyroidectomy. CONCLUSION Black patients with secondary hyperparathyroidism due to end-stage renal disease are more likely to undergo parathyroidectomy with shorter intervals between dialysis initiation and parathyroidectomy. This association is only partially explained by patient characteristics and socioeconomic factors.
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Affiliation(s)
- N Rhea Udyavar
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
| | - JiYoon Ahn
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Philip Crepeau
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Valerie Thompson
- Department of Surgery, New York University, Grossman School of Medicine and Langone Health, New York, NY
| | - Yusi Chen
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Dorry L Segev
- Department of Surgery, New York University, Grossman School of Medicine and Langone Health, New York, NY
| | - Mara McAdams-DeMarco
- Department of Surgery, New York University, Grossman School of Medicine and Langone Health, New York, NY
| | - Aarti Mathur
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
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10
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Wang V, Zepel L, Hammill BG, Hoffman A, Sloan CE, Maciejewski ML. Rates of Medicare Enrollment Among Dialysis Patients After Implementation of Medicare Payment Reform and the Affordable Care Act Marketplace. JAMA Netw Open 2022; 5:e2232118. [PMID: 36125812 PMCID: PMC9490494 DOI: 10.1001/jamanetworkopen.2022.32118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
IMPORTANCE Medicare finances health care for most US patients with end-stage kidney disease (ESKD), regardless of age. The 2011 Medicare prospective payment system (PPS) for dialysis reduced reimbursement for hemodialysis, and the 2014 Patient Protection and Affordable Care Act (ACA) Marketplace increased patient access to new private insurance options, potentially influencing organizations that provide health care, such as hospitals, nursing homes, and dialysis facilities, to adjust their payer mix away from Medicare sources. OBJECTIVE To describe Medicare enrollment trends among patients with incident ESKD in 2006 to 2016. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study involved US patients aged 18 to 64 years who were not enrolled in Medicare at dialysis initiation in 2006 to 2016, with 1-year follow-up through 2017. Data analysis was conducted April 2021 to June 2022. EXPOSURES The exposure of interest was a 3-category indicator of time, whether patients initiated dialysis before policies were enacted (2006-2010), in the first years of the Medicare ESKD PPS (2011-2013), or during the Medicare ESKD PPS and implementation of the ACA Marketplace (2014-2016). MAIN OUTCOMES AND MEASURES Patient-level Medicare enrollment through the first year of dialysis. Logistic regression and Cox models were used to examine associations of time, patient characteristics, and Medicare enrollment, adjusting for patient demographic, clinical, and market-level characteristics. RESULTS Of 335 157 patients aged 18 to 64 years with ESKD not actively enrolled in Medicare when they initiated dialysis in 2006 to 2016, the mean (SD) age was 49.9 (10.8) years, 198 164 (59.1%) were men, 188 290 (56.2%) were White, and 313 622 (93.6%) received in-center hemodialysis. New Medicare enrollment was higher in 2006 to 2010 (110 582 patients [73.1%]) than after the Medicare ESKD PPS and ACA Marketplace in 2014 to 2016 (55 382 patients [58.5%]). In adjusted analyses, declining Medicare enrollment was associated with implementation of 2011 Medicare ESKD PPS and 2014 ACA policies and was disproportionately lower among younger, racially minoritized, and ethnically Hispanic patients. CONCLUSIONS AND RELEVANCE There was declining Medicare enrollment among new dialysis patients associated with the 2011 Medicare ESKD PPS and 2014 ACA Marketplace that raise concerns about benefits and harms to patients and payers and continued disparities in kidney care. As the dialysis payer mix moves toward higher proportions of patients not covered by Medicare, it will be important to understand the implications for health care system and patient outcomes.
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Affiliation(s)
- Virginia Wang
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Lindsay Zepel
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Bradley G. Hammill
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Abby Hoffman
- Population Health Management Office, Duke Health, Duke University Health System, Durham, North Carolina
| | - Caroline E. Sloan
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Matthew L. Maciejewski
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina
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11
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The Kidney Transplant Equity Index: Improving Racial and Ethnic Minority Access to Transplantation. Ann Surg 2022; 276:420-429. [PMID: 35762615 DOI: 10.1097/sla.0000000000005549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To develop a scalable metric which quantifies kidney transplant (KT) centers' performance providing equitable access to KT for minority patients, based on the individualized pre-listing prevalence of End-Stage Renal Disease (ESRD). SUMMARY BACKGROUND DATA Racial and ethnic disparities for access to transplant in patients with ESRD are well described; however, variation in care among KT centers remains unknown. Furthermore, no mechanism exists that quantifies how well a KT center provides equitable access to KT for minority patients with ESRD. METHODS From 2013-2018, custom datasets from the United States Renal Data System and United Network for Organ Sharing were merged to calculate the Kidney Transplant Equity Index (KTEI), defined as: the number of minority patients transplanted at a center relative to the prevalence of minority patients with ESRD in each center's health service area. Markers of socioeconomic status (SES) and recipient outcomes were compared between high and low KTEI centers. RESULTS 249 transplant centers performed 111,959 KTs relative to 475,914 non-transplanted patients with ESRD. High KTEI centers performed more KTs for Black (105.5 vs. 24, P<0.001), Hispanic (55.5 vs. 7, P<0.001), and American Indian (1.0 vs. 0.0, P<0.001) patients than low KTEI centers. In addition, high KTEI centers transplanted more patients with higher unemployment (52 vs. 44, P<0.001), worse social deprivation (53 vs. 46, P<0.001), and lower educational attainment (52 vs. 43, P<0.001). While providing increased access to transplant for minority and low SES populations, high KTEI centers had improved patient survival (HR: 0.86, 95% CI: 0.77-0.95). CONCLUSIONS The KTEI is the first metric to quantify minority access to KT incorporating the pre-listing ESRD prevalence individualized to transplant centers. KTEIs uncover significant national variation in transplant practices and identify highly equitable centers. This novel metric should be used to disseminate best practices for minority and low socioeconomic patients with ESRD.
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12
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Li Y, Yang Y, Yuan J, Huang L, Ma Y, Shi X. Differences in medical costs among urban lung cancer patients with different health insurance schemes: a retrospective study. BMC Health Serv Res 2022; 22:612. [PMID: 35524258 PMCID: PMC9077891 DOI: 10.1186/s12913-022-07957-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 04/15/2022] [Indexed: 02/05/2023] Open
Abstract
Background Health insurance plays a significant role in reducing the financial burden for lung cancer patients. However, limited research exists regarding the differences in medical costs for lung cancer patients with different insurance schemes across different cities. We aimed to assess disparities in lung cancer patients’ costs by insurance type and city–specific insurance type. Methods Claim data of China Urban Employees’ Basic Medical Insurance (UEBMI) and Urban Residents’ Basic Medical Insurance (URBMI) between 2010 and 2016 were employed to investigate differences in medical costs. This study primarily applied descriptive analysis and a generalized linear model with a gamma distribution and a log link. Results In total, 92,856 lung cancer patients with inpatient records were identified, with Renminbi (RMB) 11,276 [6322–20,850] (median [interquartile range]) medical costs for the UEBMI group and RMB 8303 [4492–14,823] for the URBMI group. Out–of–pocket (OOP) expenses for the UEBMI group was RMB 2143 [1108–4506] and RMB 2975 [1367–6275] for the URBMI group. The UEBMI group also had significantly higher drug costs, medical service costs, and medical consumable costs, compared to the URBMI group. Regarding city-specific insurances, medical costs for the UEBMI and the URBMI lung cancer patients in Shanghai were RMB 9771 [5183–16,623] and RMB 9741 [5924–16,067], respectively. In Xianyang, the medical costs for UEBMI and URBMI patients were RMB 11,398 [6880–20,648] and RMB 9853 [5370–24,674], respectively. The regression results showed that the UEBMI group had 27.31% fewer OOP expenses than the URBMI group did, while patients in Xiangyang and Xianyang had 39.53 and 35.53% fewer OOP expenses, respectively, compared to patients in Shanghai. Conclusions Compared with the URBMI patients, the UEBMI lung cancer patients obtained more or even better health services and had reduced financial burden. The differences in insurances among cities were greater, compared to those among insurances within cities, and the differences in OOP expenses between cities were greater compared to those between UEBMI and URBMI. Our results called for further reform of China’s fragmented insurance schemes. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-07957-9.
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Affiliation(s)
- Yichen Li
- West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yong Yang
- Medical Device Regulatory Research and Evaluation Center, West China Hospital, Sichuan University, Chengdu, China.,School of Management, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People's Republic of China
| | - Jia Yuan
- West China Hospital, Sichuan University, Chengdu, China
| | - Lieyu Huang
- Office of Policy and Planning Research, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yong Ma
- China Health Insurance Research Association, Beijing, China. .,National Institute of Healthcare Security, Capital Medical University, Beijing, 100037, China.
| | - Xuefeng Shi
- School of Management, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People's Republic of China. .,National Institute of Traditional Chinese Medicine Strategy and Development, Beijing University of Chinese Medicine, Beijing, China.
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13
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Wilk AS, Cummings JR, Plantinga LC, Franch HA, Lea JP, Patzer RE. Racial and Ethnic Disparities in Kidney Replacement Therapies Among Adults With Kidney Failure: An Observational Study of Variation by Patient Age. AMERICAN JOURNAL OF KIDNEY DISEASES 2022; 80:9-19. [DOI: 10.1053/j.ajkd.2021.12.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 12/07/2021] [Indexed: 12/13/2022]
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14
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Delgado C, Powe NR. Resolving the Debate: The Future of Using Race in Estimating Kidney Function. Adv Chronic Kidney Dis 2022; 29:5-16. [PMID: 35690404 DOI: 10.1053/j.ackd.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/27/2022] [Accepted: 02/10/2022] [Indexed: 11/11/2022]
Abstract
Racial and social unrest witnessed during 2020 ignited a national conversation about the appropriateness of the use of race in health care algorithms and in the estimation of kidney function in particular. The growing concerns over the use of race in kidney function-estimating equations prompted the National Kidney Foundation (NKF) and American Society of Nephrology to launch an effort for change by establishing a task force on reassessing the use of race in diagnosing kidney disease. After nearly a year examining the evidence and obtaining testimony from experts and stakeholders, the task force recommended the immediate implementation of the 2020 Chronic Kidney Disease-Epidemiology creatinine equation refit without race in all US laboratories; increased routine use of cystatin C for confirmation of estimated glomerular filtration rate in clinical decision-making and a call for research on glomerular filtration rate estimation with new endogenous filtration markers and on addressing disparities in health and health care. The NKF and American Society of Nephrology strongly encouraged rapid adoption of these new recommendations. Leadership efforts of the NKF have begun to lay the foundation for national implementation through laboratory engagement, clinician awareness, and patient education.
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Affiliation(s)
- Cynthia Delgado
- Nephrology Section, San Francisco VA Medical Center, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA.
| | - Neil R Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA
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15
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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] [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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16
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Asgarisabet P, Rajan SS, Lee M, Morgan RO, Highfield LD, Erickson KF. The beneficial effect of providing kidney transplantation information on transplantation status differs between for-profit and nonprofit dialysis centers. Transpl Int 2021; 34:2644-2668. [PMID: 34729834 DOI: 10.1111/tri.14151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 09/13/2021] [Accepted: 09/20/2021] [Indexed: 11/29/2022]
Abstract
Informing end-stage kidney disease patients about kidney transplantation options increases the likelihood of kidney transplant waiting list (WL) enrollment and live donor kidney transplant (LDKT) receipt. Patients in for-profit dialysis centers have lower rates of WL enrollment and LDKT receipt. This study examined if the ownership status of dialysis centers modified the association between informing patients about transplantation options and patients' transplantation status. Multilevel analysis using mixed-effect multinomial logistic regression was performed using the United States Renal Data System (USRDS) data (January 2005 to December 2017). The study showed that informing patients improved the odds of WL enrollment and LDKT receipt. However, the effect of informing patients on transplantation status was less pronounced at for-profit as compared with nonprofit centers (Nonprofit: WL enrollment OR: 2.23 [95% CI: 2.07-2.40], and LDKT receipt OR: 3.35 [95% CI: 2.65-4.25]. For-profit: WL enrollment OR: 1.73 [95% CI: 1.66-1.79], and LDKT receipt OR: 2.35 [95% CI: 2.08-2.66]), although the odds of informing patients was higher for for-profit centers, and type of patients informed were similar across both types of centers. Information provided by for-profit centers was potentially less effective than those provided by nonprofit centers. Standardized guidelines for transplantation information provision are needed in order to ensure similar informational quality across centers.
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Affiliation(s)
- Parisa Asgarisabet
- Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Suja S Rajan
- Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - MinJae Lee
- Division of Biostatistics, Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Robert O Morgan
- Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Linda D Highfield
- Department of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kevin F Erickson
- Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
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17
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Thongprayoon C, Jadlowiec CC, Leeaphorn N, Bruminhent J, Acharya PC, Acharya C, Pattharanitima P, Kaewput W, Boonpheng B, Cheungpasitporn W. Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database. MEDICINES (BASEL, SWITZERLAND) 2021; 8:medicines8110066. [PMID: 34822363 PMCID: PMC8621202 DOI: 10.3390/medicines8110066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 11/16/2022]
Abstract
Background: Black kidney transplant recipients have worse allograft outcomes compared to White recipients. The feature importance and feature interaction network analysis framework of machine learning random forest (RF) analysis may provide an understanding of RF structures to design strategies to prevent acute rejection among Black recipients. Methods: We conducted tree-based RF feature importance of Black kidney transplant recipients in United States from 2015 to 2019 in the UNOS database using the number of nodes, accuracy decrease, gini decrease, times_a_root, p value, and mean minimal depth. Feature interaction analysis was also performed to evaluate the most frequent occurrences in the RF classification run between correlated and uncorrelated pairs. Results: A total of 22,687 Black kidney transplant recipients were eligible for analysis. Of these, 1330 (6%) had acute rejection within 1 year after kidney transplant. Important variables in the RF models for acute rejection among Black kidney transplant recipients included recipient age, ESKD etiology, PRA, cold ischemia time, donor age, HLA DR mismatch, BMI, serum albumin, degree of HLA mismatch, education level, and dialysis duration. The three most frequent interactions consisted of two numerical variables, including recipient age:donor age, recipient age:serum albumin, and recipient age:BMI, respectively. Conclusions: The application of tree-based RF feature importance and feature interaction network analysis framework identified recipient age, ESKD etiology, PRA, cold ischemia time, donor age, HLA DR mismatch, BMI, serum albumin, degree of HLA mismatch, education level, and dialysis duration as important variables in the RF models for acute rejection among Black kidney transplant recipients in the United States.
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Affiliation(s)
- Charat Thongprayoon
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
- Correspondence: (C.T.); (P.P.); (W.K.); (W.C.)
| | | | - Napat Leeaphorn
- Renal Transplant Program, University of Missouri-Kansas City School of Medicine/Saint Luke’s Health System, Kansas City, MO 64131, USA;
| | - Jackrapong Bruminhent
- Excellence Center for Organ Transplantation, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand, Division of Infectious Diseases, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand;
| | - Prakrati C. Acharya
- Division of Nephrology, Texas Tech Health Sciences Center El Paso, El Paso, TX 79905, USA; (P.C.A.); (C.A.)
| | - Chirag Acharya
- Division of Nephrology, Texas Tech Health Sciences Center El Paso, El Paso, TX 79905, USA; (P.C.A.); (C.A.)
| | - Pattharawin Pattharanitima
- Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand
- Correspondence: (C.T.); (P.P.); (W.K.); (W.C.)
| | - Wisit Kaewput
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok 10400, Thailand
- Correspondence: (C.T.); (P.P.); (W.K.); (W.C.)
| | | | - Wisit Cheungpasitporn
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
- Correspondence: (C.T.); (P.P.); (W.K.); (W.C.)
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18
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Mohottige D, McElroy LM, Boulware LE. A Cascade of Structural Barriers Contributing to Racial Kidney Transplant Inequities. Adv Chronic Kidney Dis 2021; 28:517-527. [PMID: 35367020 PMCID: PMC11200179 DOI: 10.1053/j.ackd.2021.10.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/17/2021] [Accepted: 10/27/2021] [Indexed: 11/11/2022]
Abstract
Stark racial disparities in access to and receipt of kidney transplantation, especially living donor and pre-emptive transplantation, have persisted despite decades of investigation and intervention. The causes of these disparities are complex, are inter-related, and result from a cascade of structural barriers to transplantation which disproportionately impact minoritized individuals and communities. Structural barriers contributing to racial transplant inequities have been acknowledged but are often not fully explored with regard to transplant equity. We describe longstanding racial disparities in transplantation, and we discuss contributing structural barriers which occur along the transplant pathway including pretransplant health care, evaluation, referral processes, and the evaluation of transplant candidates. We also consider the role of multilevel socio-contextual influences on these processes. We believe focused efforts which apply an equity lens to key transplant processes and systems are required to achieve greater structural competency and, ultimately, racial transplant equity.
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Affiliation(s)
- Dinushika Mohottige
- Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC; Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, NC.
| | - Lisa M McElroy
- Division of Abdominal Transplant, Department of Surgery, Duke University School of Medicine, Durham, NC; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - L Ebony Boulware
- Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, NC; Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC
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19
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Yilma M, Hirose R. Equity in kidney transplant allocation - North American perspective. Curr Opin Organ Transplant 2021; 26:353-355. [PMID: 34224502 DOI: 10.1097/mot.0000000000000899] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE OF REVIEW Seven years have passed since the implementation of the kidney allocation policy by the Organ Procurement and Transplantation Network in the United States, the purpose of this article is to review the impact of these policy changes in addressing disparity and inequities in access to transplantation as well as to assess future directions needed in achieving equity in kidney transplantation. RECENT FINDINGS The 2014 kidney allocation system policy aimed to improve access to transplantation through various approaches by reducing organ/recipient longevity mismatches, prioritizing highly sensitized patients, and backdating waitlist time to start of dialysis. The policy however did not improve utilization of high-kidney donor profile index kidneys or decrease kidney discard rate. SUMMARY Although the supply-to-demand gap for waitlisted patients has decreased there are several areas that need further investigation, including geographic disparity, barriers in referral for transplantation, evaluating the impact of transplant education, and transplant center waitlist practices on inequities that exist in the prewaitlist stage that impact access to transplantation.
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Affiliation(s)
- Mignote Yilma
- Department of Surgery, University of California, San Francisco, California, USA
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20
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Nguyen T, Sise ME, Delgado C, Williams W, Reese P, Goldberg D. Race, Education, and Gender Disparities in Transplantation of Kidneys From Hepatitis C Viremic Donors. Transplantation 2021; 105:1850-1857. [PMID: 33141804 PMCID: PMC8842824 DOI: 10.1097/tp.0000000000003511] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Transplantation of kidneys from hepatitis C virus (HCV)-viremic donors into HCV-negative patients followed by direct-acting antiviral therapy was an important breakthrough to increase the number of life-saving kidney transplants. Data suggest that these transplants offer several benefits; however, it is unknown whether adoption of this practice has been shared equitably, especially among disadvantaged groups. METHODS We evaluated United Network for Organ Sharing data on HCV-seronegative adult deceased-donor kidney transplant recipients from January 1, 2017, to June 12, 2020. We compared recipients of a kidney from an HCV antibody- (Ab-)/nucleic acid test- (NAT-), HCV Ab+/NAT-, and HCV NAT+ donor. The primary covariates were as follows: (1) race/ethnicity; (2) female sex; and (3) highest level of education. Models included variables associated with being offered an HCV NAT+ kidney. We fit mixed-effects multinomial logistic regression models with the center as a random effect to account for patient clustering. RESULTS Of 48 255 adult kidney-alone deceased-donor kidney transplant HCV-seronegative recipients, 1641 (3.4%) donors were HCV NAT+-, increasing from 0.3% (January 2017-June 2017) to 6.9% (January 2020-June 2020). In multivariable models, racial/ethnic minorities, women, and those with less education were significantly less likely to receive a kidney from an HCV NAT+ donor relative to an HCV Ab-/NAT- and HCV Ab+/NAT- donor. The disparities were most pronounced among Hispanic and Asian patients with less educational attainment (grade school, high school, or some college/tech school). CONCLUSIONS Despite an increase in transplants from HCV NAT+ donors, we found substantial racial/ethnic disparities in transplantation of these kidneys. These data highlight how the benefits of a scientific breakthrough are often made less available to disadvantaged patients.
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Affiliation(s)
- Tiffany Nguyen
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL
| | - Meghan E. Sise
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School
| | - Cindy Delgado
- Division of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL
| | - Winfred Williams
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School
| | - Peter Reese
- Renal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David Goldberg
- Division of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL
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21
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Delgado C, Baweja M, Burrows NR, Crews DC, Eneanya ND, Gadegbeku CA, Inker LA, Mendu ML, Miller WG, Moxey-Mims MM, Roberts GV, St Peter WL, Warfield C, Powe NR. Reassessing the Inclusion of Race in Diagnosing Kidney Diseases: An Interim Report From the NKF-ASN Task Force. Am J Kidney Dis 2021; 78:103-115. [PMID: 33845065 PMCID: PMC8238889 DOI: 10.1053/j.ajkd.2021.03.008] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
For almost 2 decades, equations that use serum creatinine, age, sex, and race to estimate glomerular filtration rate (GFR) have included "race" as Black or non-Black. Given considerable evidence of disparities in health and health care delivery in African American communities, some regard keeping a race term in GFR equations as a practice that differentially influences access to care and kidney transplantation. Others assert that race captures important non-GFR determinants of serum creatinine and its removal from the calculation may perpetuate other disparities. The National Kidney Foundation (NKF) and American Society of Nephrology (ASN) established a task force in 2020 to reassess the inclusion of race in the estimation of GFR in the United States and its implications for diagnosis and subsequent management of patients with, or at risk for, kidney diseases. This interim report details the process, initial assessment of evidence, and values defined regarding the use of race to estimate GFR. We organized activities in phases: (1) clarify the problem and examine evidence, (2) evaluate different approaches to address use of race in GFR estimation, and (3) make recommendations. In phase 1, we constructed statements about the evidence and defined values regarding equity and disparities; race and racism; GFR measurement, estimation, and equation performance; laboratory standardization; and patient perspectives. We also identified several approaches to estimate GFR and a set of attributes to evaluate these approaches. Building on evidence and values, the attributes of alternative approaches to estimate GFR will be evaluated in the next phases and recommendations will be made.
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Affiliation(s)
- Cynthia Delgado
- Nephrology Section, San Francisco Veterans Affairs Medical Center, Division of Nephrology, University of California San Francisco, San Francisco, CA.
| | - Mukta Baweja
- Nephrology Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nilka Ríos Burrows
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
| | - Deidra C Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Crystal A Gadegbeku
- Department of Medicine, Section of Nephrology, Hypertension and Kidney Transplantation, Temple University, Philadelphia, PA
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, MA
| | - Mallika L Mendu
- Division of Renal Medicine and Office of the Chief Medical Officer, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - W Greg Miller
- Department of Pathology, Virginia Commonwealth University, Richmond, VA
| | - Marva M Moxey-Mims
- Division of Nephrology, Children's National Hospital, Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Glenda V Roberts
- External Relations and Patient Engagement, Kidney Research Institute, Center for Dialysis Innovation, University of Washington, Seattle, WA
| | | | | | - Neil R Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA.
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22
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Delgado C, Baweja M, Burrows NR, Crews DC, Eneanya ND, Gadegbeku CA, Inker LA, Mendu ML, Miller WG, Moxey-Mims MM, Roberts GV, St. Peter WL, Warfield C, Powe NR. Reassessing the Inclusion of Race in Diagnosing Kidney Diseases: An Interim Report from the NKF-ASN Task Force. J Am Soc Nephrol 2021; 32:1305-1317. [PMID: 33837122 PMCID: PMC8259639 DOI: 10.1681/asn.2021010039] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
For almost two decades, equations that use serum creatinine, age, sex, and race to eGFR have included "race" as Black or non-Black. Given considerable evidence of disparities in health and healthcare delivery in African American communities, some regard keeping a race term in GFR equations as a practice that differentially influences access to care and kidney transplantation. Others assert that race captures important non GFR determinants of serum creatinine and its removal from the calculation may perpetuate other disparities. The National Kidney Foundation (NKF) and American Society of Nephrology (ASN) established a task force in 2020 to reassess the inclusion of race in the estimation of GFR in the United States and its implications for diagnosis and subsequent management of patients with, or at risk for, kidney diseases. This interim report details the process, initial assessment of evidence, and values defined regarding the use of race to estimate GFR. We organized activities in phases: (1) clarify the problem and examine evidence, (2) evaluate different approaches to address use of race in GFR estimation, and (3) make recommendations. In phase one, we constructed statements about the evidence and defined values regarding equity and disparities; race and racism; GFR measurement, estimation, and equation performance; laboratory standardization; and patient perspectives. We also identified several approaches to estimate GFR and a set of attributes to evaluate these approaches. Building on evidence and values, the attributes of alternative approaches to estimate GFR will be evaluated in the next phases and recommendations will be made.
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Affiliation(s)
- Cynthia Delgado
- Nephrology Section, San Francisco Veterans Affairs Medical Center, Division of Nephrology, University of California San Francisco, San Francisco, California
| | - Mukta Baweja
- Nephrology Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nilka Ríos Burrows
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Deidra C. Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nwamaka D. Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Crystal A. Gadegbeku
- Department of Medicine, Section of Nephrology, Hypertension and Kidney Transplantation, Temple University, Philadelphia, Pennsylvania
| | - Lesley A. Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Mallika L. Mendu
- Division of Renal Medicine and Office of the Chief Medical Officer, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - W. Greg Miller
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia
| | - Marva M. Moxey-Mims
- Division of Nephrology, Children’s National Hospital, Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Glenda V. Roberts
- External Relations and Patient Engagement, Kidney Research Institute, Center for Dialysis Innovation, University of Washington, Seattle, Washington
| | | | | | - Neil R. Powe
- Department of Medicine, Priscilla Chan and Mark Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California
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23
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Shimels T, Getachew A, Tadesse M, Thompson A. Providers' View on the First Kidney Transplantation Center in Ethiopia: Experience From Past to Present. Health Serv Res Manag Epidemiol 2021; 8:23333928211018335. [PMID: 34104678 PMCID: PMC8155782 DOI: 10.1177/23333928211018335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/23/2021] [Accepted: 04/23/2021] [Indexed: 11/16/2022] Open
Abstract
Introduction: Transplantation is the optimal management for patients with end-stage renal
disease. In Ethiopia, the first national kidney transplantation center was
opened at St. Paul’s Hospital Millennium Medical College in September 2015.
The aim of this study was to explore providers’ views and experiences of the
past to present at this center. Methods: A qualitative study design was employed from 1st November to
15th December, 2019. To ensure that appropriate informants
would provide rich study data, 8 health care providers and top management
members were purposefully chosen for in-depth interviews. A maximum
variation sampling method was considered to include a representative sample
of informants. Interviews were digitally audio-recorded, and transcribed
verbatim. Transcribed data was coded and analyzed using Qualitative Data
Analysis (QDA) Minor Lite software and Microsoft-Excel. Result: The participants (5 males and 3 females) approached were from different
departments of the renal transplant center, and the main hospital. Eight
main themes and 18 sub-themes were generated initially from all interviews
totaling to 109 index codes. Further evaluation and recoding retained 5 main
themes, and 14 sub-themes. The main themes are; challenges experienced
during and after launching the center, commitment, sympathy and
satisfaction, outcomes of renal transplant, actions to improve the quality
of service, and how the transplant center should operate. Providers claim
that they discharge their responsibilities through proper commitment and
compassion, paying no attention to incentive packages. They also explained
that renal transplantation would have all the outcomes related to economic,
humanistic and clinical facets. Conclusion and Recommendation: A multitude of challenges were faced during and after the establishment of
the first renal transplant center in Ethiopia. Providers discharge their
responsibility through a proper compassion for patients. Concerned
stakeholders should actively collaborate to improve the quality of renal
transplant services in the center.
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Affiliation(s)
- Tariku Shimels
- Research Directorate, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Abrham Getachew
- Research Directorate, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Mekdim Tadesse
- Department of Surgery, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
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24
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Ahearn P, Johansen KL, Tan JC, McCulloch CE, Grimes BA, Ku E. Sex Disparity in Deceased-Donor Kidney Transplant Access by Cause of Kidney Disease. Clin J Am Soc Nephrol 2021; 16:241-250. [PMID: 33500250 PMCID: PMC7863650 DOI: 10.2215/cjn.09140620] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 12/14/2020] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND OBJECTIVES Women with kidney failure have lower access to kidney transplantation compared with men, but the magnitude of this disparity may not be uniform across all kidney diseases. We hypothesized that the attributed cause of kidney failure may modify the magnitude of the disparities in transplant access by sex. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We performed a retrospective cohort study of adults who developed kidney failure between 2005 and 2017 according to the United States Renal Data System. We used adjusted Cox models to examine the association between sex and either access to waitlist registration or deceased-donor kidney transplantation, and tested for interaction between sex and the attributed cause of kidney failure using adjusted models. RESULTS Among a total of 1,478,037 patients, 271,111 were registered on the waitlist and 89,574 underwent deceased-donor transplantation. The rate of waitlisting was 6.5 per 100 person-years in women and 8.3 per 100 person-years for men. In adjusted analysis, women had lower access to the waitlist (hazard ratio, 0.89; 95% confidence interval, 0.89 to 0.90) and to deceased-donor transplantation after waitlisting (hazard ratio, 0.96; 95% confidence interval, 0.94 to 0.98). However, there was an interaction between sex and attributed cause of kidney disease in adjusted models (P<0.001). Women with kidney failure due to type 2 diabetes had 27% lower access to the kidney transplant waitlist (hazard ratio, 0.73; 95% confidence interval, 0.72 to 0.74) and 11% lower access to deceased-donor transplantation after waitlisting compared with men (hazard ratio, 0.89; 95% confidence interval, 0.86 to 0.92). In contrast, sex disparities in access to either the waitlist or transplantation were not observed in kidney failure secondary to cystic disease. CONCLUSIONS The disparity in transplant access by sex is not consistent across all causes of kidney failure. Lower deceased-donor transplantation rates in women compared with men are especially notable among patients with kidney failure attributed to diabetes.
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Affiliation(s)
- Patrick Ahearn
- Division of Nephrology, Stanford University, Palo Alto, California
| | - Kirsten L. Johansen
- Division of Nephrology, Hennepin County Medical Center, Minneapolis, Minnesota,Division of Nephrology, University of Minnesota, Minneapolis, Minnesota
| | - Jane C. Tan
- Division of Nephrology, Stanford University, Palo Alto, California
| | - Charles E. McCulloch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Barbara A. Grimes
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Elaine Ku
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California,Division of Nephrology, University of California, San Francisco, California,Division of Pediatric Nephrology, University of California, San Francisco, California
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25
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Wesselman H, Ford CG, Leyva Y, Li X, Chang CCH, Dew MA, Kendall K, Croswell E, Pleis JR, Ng YH, Unruh ML, Shapiro R, Myaskovsky L. Social Determinants of Health and Race Disparities in Kidney Transplant. Clin J Am Soc Nephrol 2021; 16:262-274. [PMID: 33509963 PMCID: PMC7863655 DOI: 10.2215/cjn.04860420] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 11/16/2020] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND OBJECTIVES Black patients have a higher incidence of kidney failure but lower rate of deceased- and living-donor kidney transplantation compared with White patients, even after taking differences in comorbidities into account. We assessed whether social determinants of health (e.g., demographics, cultural, psychosocial, knowledge factors) could account for race differences in receiving deceased- and living-donor kidney transplantation. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Via medical record review, we prospectively followed 1056 patients referred for kidney transplant (2010-2012), who completed an interview soon after kidney transplant evaluation, until their kidney transplant. We used multivariable competing risk models to estimate the cumulative incidence of receipt of any kidney transplant, deceased-donor transplant, or living-donor transplant, and the factors associated with each outcome. RESULTS Even after accounting for social determinants of health, Black patients had a lower likelihood of kidney transplant (subdistribution hazard ratio, 0.74; 95% confidence interval, 0.55 to 0.99) and living-donor transplant (subdistribution hazard ratio, 0.49; 95% confidence interval, 0.26 to 0.95), but not deceased-donor transplant (subdistribution hazard ratio, 0.92; 95% confidence interval, 0.67 to 1.26). Black race, older age, lower income, public insurance, more comorbidities, being transplanted before changes to the Kidney Allocation System, greater religiosity, less social support, less transplant knowledge, and fewer learning activities were each associated with a lower probability of any kidney transplant. Older age, more comorbidities, being transplanted before changes to the Kidney Allocation System, greater religiosity, less social support, and fewer learning activities were each associated with a lower probability of deceased-donor transplant. Black race, older age, lower income, public insurance, higher body mass index, dialysis before kidney transplant, not presenting with a potential living donor, religious objection to living-donor transplant, and less transplant knowledge were each associated with a lower probability of living-donor transplant. CONCLUSIONS Race and social determinants of health are associated with the likelihood of undergoing kidney transplant.
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Affiliation(s)
- Hannah Wesselman
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana
| | - Christopher Graham Ford
- Center for Healthcare Equity in Kidney Disease, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
| | - Yuridia Leyva
- Center for Healthcare Equity in Kidney Disease, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
| | - Xingyuan Li
- Eli Lilly and Company, Indianapolis, Indiana
| | - Chung-Chou H. Chang
- Department of Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania,Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, Pennsylvania
| | - Mary Amanda Dew
- Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania
| | - Kellee Kendall
- Department of Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania
| | - Emilee Croswell
- Department of Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania
| | - John R. Pleis
- Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Yue Harn Ng
- Department of Internal Medicine, University of New Mexico, School of Medicine, Albuquerque, New Mexico
| | - Mark L. Unruh
- Department of Internal Medicine, University of New Mexico, School of Medicine, Albuquerque, New Mexico
| | - Ron Shapiro
- Mount Sinai Recanati/Miller Transplantation Institute, Icahn School of Medicine, New York, New York
| | - Larissa Myaskovsky
- Center for Healthcare Equity in Kidney Disease, University of New Mexico Health Sciences Center, Albuquerque, New Mexico,Department of Internal Medicine, University of New Mexico, School of Medicine, Albuquerque, New Mexico
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26
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Does Racial Disparity in Kidney Transplant Waitlisting Persist After Accounting for Social Determinants of Health? Transplantation 2020; 104:1445-1455. [PMID: 31651719 DOI: 10.1097/tp.0000000000003002] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND African Americans (AA) have lower rates of kidney transplantation (KT) compared with Whites (WH), even after adjusting for demographic and medical factors. In this study, we examined whether the racial disparity in KT waitlisting persists after adjusting for social determinants of health (eg, cultural, psychosocial, and knowledge). METHODS We prospectively followed a cohort of 1055 patients who were evaluated for KT between 3 of 10 to 10 of 12 and followed through 8 of 18. Participants completed a semistructured telephone interview shortly after their first KT evaluation appointment. We used the Wilcoxon rank-sum and Pearson chi-square tests to examine race differences in the baseline characteristics. We then assessed racial differences in the probability of waitlisting while accounting for all predictors using cumulative incidence curves and Fine and Gray proportional subdistribution hazards models. RESULTS There were significant differences in the baseline characteristics between non-Hispanic AA and non-Hispanic WH. AA were 25% less likely (95% confidence interval, 0.60-0.96) to be waitlisted than WH even after adjusting for medical factors and social determinants of health. In addition, being older, having lower income, public insurance, more comorbidities, and being on dialysis decreased the probability of waitlisting while having more social support and transplant knowledge increased the probability of waitlisting. CONCLUSIONS Racial disparity in kidney transplant waitlisting persisted even after adjusting for medical factors and social determinants of health, suggesting the need to identify novel factors that impact racial disparity in transplant waitlisting. Developing interventions targeting cultural and psychosocial factors may enhance equity in access to transplantation.
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27
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Park S, Park J, Kim M, Kim JE, Yu MY, Kim K, Park M, Kim YC, Kim DK, Joo KW, Kim YS, Lee H. Socioeconomic dependency and kidney transplantation accessibility and outcomes: a nationwide observational cohort study in South Korea. J Nephrol 2020; 34:211-219. [PMID: 33048288 DOI: 10.1007/s40620-020-00876-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Accepted: 09/23/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND Socioeconomic status is an important determinant for patients' accessibility to, and prognosis of, kidney transplantation. However, the association between socioeconomic dependency and kidney transplantation accessibility or prognosis after kidney transplantation remains unclear. METHODS In this nationwide cohort study, based on the claims database of South Korea, we included 12,889 kidney transplant recipients from 2007 to 2015 and stratified them according to health insurance categories that reflect socioeconomic dependency: workplace-independent (employed, N = 3257), workplace-dependent (dependent to the workplace-independent, N = 3661), community-representative (heads of the household but self-employed or unemployed, N = 2479), community-member (N = 1618), aided-representative (heads of household receiving medical aid from the government, N = 1580), and aided-member (N = 294). The incidence of kidney transplantation was calculated to evaluate its accessibility. The risk of graft failure was assessed using the Cox regression analysis, adjusted for clinicodemographic variables, including financial status. RESULTS End-stage kidney disease patients who were employed (workplace-independent group) had the highest incidence proportion of kidney transplantation. The dependent groups' prognoses were worse than those of their independent counterparts [workplace-dependent versus workplace-independent, HR 1.26 (1.11-1.43) and community-dependent versus community-independent, HR 1.46 (1.23-1.74)], although no difference was observed between the aided subgroups [aided-dependent versus aided-independent, adjusted HR 1.16 (0.90-1.50)]. CONCLUSION Disparities in kidney transplantation accessibility were present in South Korea according to socioeconomic dependency; these differences may have an impact on prognosis.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Armed Forces Capital Hospital, Seoul, Republic of Korea
| | - Jina Park
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Myoungsuk Kim
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji Eun Kim
- Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Mi-Yeon Yu
- Department of Internal Medicine, Hanyang University Guri Hospital, Guri, Gyeonggi-do, Republic of Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Minsu Park
- Department of Statistics, Keimyung University, Daegu, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
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28
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Abstract
Kidney transplantation is the ideal treatment option for patients with end-stage kidney disease (ESKD). Since there is clear mortality benefit to receiving a transplant regardless of comorbidities and age, the gold standard of care should focus on attaining kidney transplantation and minimizing, or better yet eliminating, time on dialysis. Unfortunately, only a small percentage of patients with ESKD receive a kidney transplant. Several barriers to kidney transplantation have been identified. Barriers can largely be grouped into three categories: patient-related, physician/provider-related, and system-related. Several barriers fall into multiple categories and play a role at various levels within the healthcare system. Acknowledging and understanding these barriers will allow transplant centers and dialysis facilities to make the necessary interventions to mitigate these disparities, optimize the transplant evaluation process, and improve patient outcomes. This review will discuss these barriers and potential interventions to increase access to kidney transplantation.
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29
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Patzer RE, McPherson L, Wang Z, Plantinga LC, Paul S, Ellis M, DuBay DA, Wolf J, Reeves-Daniel A, Jones H, Zayas C, Mulloy L, Pastan SO. Dialysis facility referral and start of evaluation for kidney transplantation among patients treated with dialysis in the Southeastern United States. Am J Transplant 2020; 20:2113-2125. [PMID: 31981441 DOI: 10.1111/ajt.15791] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 01/02/2020] [Accepted: 01/19/2020] [Indexed: 01/25/2023]
Abstract
Variability in transplant access exists, but barriers to referral and evaluation are underexplored due to lack of national surveillance data. We examined referral for kidney transplantation evaluation and start of the evaluation among 34 857 incident, adult (18-79 years) end-stage kidney disease patients from 690 dialysis facilities in the United States Renal Data System from January 1, 2012 through August 31, 2016, followed through February 2018 and linked data to referral and evaluation data from nine transplant centers in Georgia, North Carolina, and South Carolina. Multivariable-adjusted competing risk analysis examined each outcome. The median within-facility cumulative percentage of patients referred for kidney transplantation within 1 year of dialysis at the 690 dialysis facilities in Network 6 was 33.7% (interquartile range [IQR]: 25.3%-43.1%). Only 48.3% of referred patients started the transplant evaluation within 6 months of referral. In multivariable analyses, factors associated with referral vs evaluation start among those referred at any time differed. For example, black, non-Hispanic patients had a higher rate of referral (hazard ratio [HR]: 1.22; 95% confidence interval [CI]: 1.18-1.27), but lower evaluation start among those referred (HR: 0.93; 95% CI: 0.88-0.98), vs white non-Hispanic patients. Barriers to transplant varied by step, and national surveillance data should be collected on early transplant steps to improve transplant access.
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Affiliation(s)
- Rachel E Patzer
- Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA.,Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.,Emory Transplant Center, Atlanta, Georgia, USA
| | - Laura McPherson
- Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Zhensheng Wang
- Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Laura C Plantinga
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.,Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Sudeshna Paul
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
| | - Matthew Ellis
- Departments of Medicine and Surgery, Duke University, Durham, North Carolina, USA
| | - Derek A DuBay
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Joshua Wolf
- Piedmont Transplant Institute, Piedmont Healthcare, Atlanta, Georgia, USA
| | | | - Heather Jones
- Vidant Medical Center, Greenville, North Carolina, USA
| | - Carlos Zayas
- Division of Nephrology, Department of Medicine, Augusta University, Augusta, Georgia, USA
| | - Laura Mulloy
- Division of Nephrology, Department of Medicine, Augusta University, Augusta, Georgia, USA
| | - Stephen O Pastan
- Emory Transplant Center, Atlanta, Georgia, USA.,Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
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Unexpected Race and Ethnicity Differences in the US National Veterans Affairs Kidney Transplant Program. Transplantation 2020; 103:2701-2714. [PMID: 31397801 DOI: 10.1097/tp.0000000000002905] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Racial/ethnic minorities have lower rates of deceased kidney transplantation (DDKT) and living donor kidney transplantation (LDKT) in the United States. We examined whether social determinants of health (eg, demographics, cultural, psychosocial, knowledge factors) could account for differences in the Veterans Affairs (VA) Kidney Transplantation (KT) Program. METHODS We conducted a multicenter longitudinal cohort study of 611 Veterans undergoing evaluation for KT at all National VA KT Centers (2010-2012) using an interview after KT evaluation and tracking participants via medical records through 2017. RESULTS Hispanics were more likely to get any KT (subdistribution hazard ratios [SHR] [95% confidence interval (CI)]: 1.8 [1.2-2.8]) or DDKT (SHR [95% CI]: 2.0 [1.3-3.2]) than non-Hispanic white in univariable analysis. Social determinants of health, including marital status (SHR [95% CI]: 0.6 [0.4-0.9]), religious objection to LDKT (SHR [95% CI]: 0.6 [0.4-1.0]), and donor preference (SHR [95% CI]: 2.5 [1.2-5.1]), accounted for some racial differences, and changes to Kidney Allocation System policy (SHR [95% CI]: 0.3 [0.2-0.5]) mitigated race differences in DDKT in multivariable analysis. For LDKT, non-Hispanic African American Veterans were less likely to receive an LDKT than non-Hispanic white (SHR [95% CI]: 0.2 [0.0-0.7]), but accounting for age (SHR [95% CI]: 1.0 [0.9-1.0]), insurance (SHR [95% CI]: 5.9 [1.1-33.7]), presenting with a living donor (SHR [95% CI]: 4.1 [1.4-12.3]), dialysis duration (SHR [95% CI]: 0.3 [0.2-0.6]), network of potential donors (SHR [95% CI]: 1.0 [1.0-1.1]), self-esteem (SHR [95% CI]: 0.4 [0.2-0.8]), transplant knowledge (SHR [95% CI]: 1.3 [1.0-1.7]), and changes to Kidney Allocation System policy (SHR [95% CI]: 10.3 [2.5-42.1]) in multivariable analysis eliminated those disparities. CONCLUSIONS The VA KT Program does not exhibit the same pattern of disparities in KT receipt as non-VA centers. Transplant centers can use identified risk factors to target patients who may need more support to ensure they receive a transplant.
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Farouk SS, Atallah S, Campbell KN, Vassalotti JA, Uribarri J. Implementation of a quality improvement strategy to increase outpatient kidney transplant referrals. BMC Nephrol 2020; 21:192. [PMID: 32434512 PMCID: PMC7240907 DOI: 10.1186/s12882-020-01855-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 05/13/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Kidney transplantation remains the optimal therapy for patients with end stage kidney disease (ESKD), though a small fraction of patients on dialysis are on organ waitlists. An important barrier to both preemptive kidney transplantation and successful waitlisting is timely referral to a kidney transplant center. We implemented a quality improvement strategy to improve outpatient kidney transplant referrals in a single center academic outpatient nephrology clinic. METHODS Over a 3 month period (July 1-September 30, 2016), we assessed the baseline kidney transplantation referral rate at our outpatient nephrology clinic for patients 18-75 years old with an estimated glomerular filtration rate (eGFR) of less than 20 mL/min/1.73m2 (2 values over 90 days apart). Charts were manually reviewed by two reviewers to look for kidney transplant referrals and documentation of discussions about kidney transplantation. We then performed a root cause analysis to explore potential barriers to kidney transplantation. Our intervention began on July 1, 2017 and included the implementation of a column in the electronic medical record (EMR) which displayed the patient's last eGFR as part of the clinic schedule. In addition, physicians were given a document listing their patients to be seen that day with an eGFR of < 20 mL/min/1.73m2. Annual education sessions were also held to discuss the importance of timely kidney transplant referral. RESULTS At baseline, 54 unique patients with eGFR ≤20 ml/min/1.73 m2 were identified who were seen in the Clinic between July 1, 2016 and September 30, 2016. 29.6% (16) eligible patients were referred for kidney transplantation evaluation. 69.5% (37) of these patients were not referred for kidney transplant evaluation. 46.3% (25) did not have documentation regarding kidney transplant in the EMR. nephrologist's most recent note. Following the intervention, 66 unique patients met criteria for eligibility for kidney transplant evaluation. Kidney transplant referrals increased to 60.6% (p < 0.001). CONCLUSIONS Our pilot implementation study of a strategy to improve outpatient kidney transplant referrals showed that a free, simple, scalable intervention can significantly improve kidney transplant referrals in the outpatient setting. This intervention targeted the nephrologist's role in the transplant referral, and facilitated the process of patient recognition and performing the referral itself without significantly interrupting the workflow. Next steps include further investigation to study the impact of early referral to kidney transplant centers on preemptive and living donor kidney transplantation as well as successful waitlisting.
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Affiliation(s)
- Samira S Farouk
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, New York, NY, 10029, USA.
| | - Sara Atallah
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Kirk N Campbell
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Joseph A Vassalotti
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Jaime Uribarri
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Box 1243, One Gustave L. Levy Place, New York, NY, 10029, USA
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Yao X, Chen S, Lei W, Shi N, Lin W, Du X, Zhang P, Chen J. The relationship between hemodialysis mortality and the Chinese medical insurance type. Ren Fail 2020; 41:778-785. [PMID: 31880213 PMCID: PMC6735350 DOI: 10.1080/0886022x.2019.1657893] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Objectives: In China, there are two major medical insurance models: the Urban Basic Medical Insurance (UBMI) and the New Cooperative Medical Scheme (NCMS). The aim of the present study was to evaluate the association of the medical insurance type of patients undergoing hemodialysis (HD) with their survival. Methods: We retrospectively analyzed the end-stage renal disease adult patients initiating HD between January 2010 and December 2014 in Zhejiang province, followed up through 31 December 2015. Patients who had received HD for over 3 months were separated into two groups, based on different medical insurance type. Demographic, clinical data, and clinical outcomes were analyzed. The survival rates were calculated by using the Kaplan–Meier method. Results: A total of 6779 patients (59 ± 16 years old, 4331 males (63.9%)) with UBMI and 7177 (59 ± 16 years old, 3778 males (52.8%)) with NCMS enrolled from 226 hemodialysis units. Compared with UBMI group, patients with NCMS had a smaller percentage of hypertensive nephropathy, diabetes mellitus and arteriovenous fistula, faced with more problems in anemia, hypoalbuminemia and metabolism of calcium and phosphorous. The 1-, 3- and 5-year survival rates were 95.4, 84.4, and 74.1% in UBMI group, 93.1, 79.7, and 67.7% in NCMS group, respectively. Patients with NCMS showed higher all-cause mortality compared with UBMI (p < 0.001). In multivariate Cox proportional hazards model, NCMS was independently associated with higher mortality (AHR = 1.53; 95% CI 1.38 ∼ 1.68). Conclusions: The medical insurance model was independently associated with HD patient survival, NCMS was associated with increased mortality among patients undergoing maintenance hemodialysis in China.
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Affiliation(s)
- Xi Yao
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Shaohua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Wenhua Lei
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Nan Shi
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Weiqiang Lin
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Xiaoying Du
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Ping Zhang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
| | - Jianghua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Hangzhou, Zhejiang, China
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33
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Purnell TS, McAdams-DeMarco M. The Long Road to Kidney Transplantation: Does Center Distance Impact Transplant Referral and Evaluation? Clin J Am Soc Nephrol 2020; 15:453-454. [PMID: 32275641 PMCID: PMC7133125 DOI: 10.2215/cjn.02080220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Tanjala S Purnell
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and.,Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, Maryland
| | - Mara McAdams-DeMarco
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; .,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and
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34
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Schold JD, Augustine JJ, Huml AM, O’Toole J, Sedor JR, Poggio ED. Modest rates and wide variation in timely access to repeat kidney transplantation in the United States. Am J Transplant 2020; 20:769-778. [PMID: 31599065 PMCID: PMC7204603 DOI: 10.1111/ajt.15646] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 09/08/2019] [Accepted: 09/17/2019] [Indexed: 02/06/2023]
Abstract
Success of transplantation is not limited to initial receipt of a donor organ. Many kidney transplant recipients experience graft loss following initial transplantation and the benefits of expedited placement on the waiting list and retransplantation extend to this population. Factors associated with access to repeat transplantation may be unique given experience with the transplant process and prior viability as a candidate. We examined the incidence, risk factors, secular changes, and center-level variation of preemptive relisting or transplantation (PRLT) for kidney transplant recipients in the United States with graft failure (not due to death) using Scientific Registry of Transplant Recipients data from 2007 to 2018 (n = 39 557). Overall incidence of PRLT was 15% and rates of relisting declined over time. Significantly lower PRLT was evident among patients who were African American and Hispanic, males, older, obese, publicly insured, had lower educational attainment, were diabetic, had longer dialysis time prior to initial transplant, shorter graft survival, longer distance to transplant center, and resided in distressed communities. There was significant variation in PRLT by center, median = 13%, 10th percentile = 6%, 90th percentile = 24%. Cumulatively, results indicate that despite prior access to transplantation, incidence of PRLT is modest with pronounced clinical, social, and center-level sources of variation suggesting opportunities to improve preemptive care among patients with failing grafts.
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Affiliation(s)
- Jesse D. Schold
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio,Center for Populations Health Research, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | | | - Anne M. Huml
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | - John O’Toole
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | - John R. Sedor
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | - Emilio D. Poggio
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
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35
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de Jager E, Levine AA, Udyavar NR, Burstin HR, Bhulani N, Hoyt DB, Ko CY, Weissman JS, Britt LD, Haider AH, Maggard-Gibbons MA. Disparities in Surgical Access: A Systematic Literature Review, Conceptual Model, and Evidence Map. J Am Coll Surg 2020; 228:276-298. [PMID: 30803548 DOI: 10.1016/j.jamcollsurg.2018.12.028] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 12/13/2018] [Accepted: 12/13/2018] [Indexed: 01/17/2023]
Affiliation(s)
- Elzerie de Jager
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School and Harvard School of Public Health, Boston, MA; College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia
| | - Adele A Levine
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School and Harvard School of Public Health, Boston, MA
| | - N Rhea Udyavar
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School and Harvard School of Public Health, Boston, MA
| | | | - Nizar Bhulani
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School and Harvard School of Public Health, Boston, MA
| | | | - Clifford Y Ko
- American College of Surgeons, Chicago, IL; Department of Surgery, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA; Department of Surgery, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Joel S Weissman
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School and Harvard School of Public Health, Boston, MA
| | - L D Britt
- Department of Surgery, Eastern Virginia Medical School, Norfolk, VA
| | - Adil H Haider
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School and Harvard School of Public Health, Boston, MA
| | - Melinda A Maggard-Gibbons
- Department of Surgery, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA.
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36
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Patzer RE, Pastan SO. Policies to promote timely referral for kidney transplantation. Semin Dial 2020; 33:58-67. [PMID: 31957930 DOI: 10.1111/sdi.12860] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 12/14/2019] [Indexed: 02/06/2023]
Abstract
There are numerous patient, provider, and health system barriers to accessing kidney transplantation. Patient barriers such as sociocultural and clinical characteristics and provider factors such as provider knowledge and awareness of transplantation play important roles in facilitating transplant. Health system factors like misaligned incentives and quality metrics for dialysis facilities and transplant centers also influence transplant access. While numerous studies have documented the impact of these barriers on wait-listing and transplant, few studies have examined referral from a dialysis facility to a transplant center and start of the transplant evaluation process. While the Centers for Medicare and Medicaid Services (CMS) require that dialysis facilities educate patients about transplant, there are no guidelines for the content and objectives for this education. In addition, policies to require timely referral for transplantation have been considered by CMS but are difficult to implement without national data on referral. Federal policies should be amended to mandate transplant center submission of referral data-while decreasing the unfunded mandate to collect other unusable data currently collected as part of regulatory monitoring of transplant centers-to promote timely access to transplant, increased transplant rates, and to better understand the multilevel barriers and facilitators to transplant referral.
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Affiliation(s)
- Rachel E Patzer
- Department of Medicine, Health Services Research Center, Emory University School of Medicine, Atlanta, GA, USA.,Department of Surgery, Health Services Research Center, Emory University School of Medicine, Atlanta, GA, USA.,Emory Transplant Center, Atlanta, GA, USA.,Department of Epidemiology, Rollins School of Public Health, Atlanta, GA, USA
| | - Stephen O Pastan
- Department of Medicine, Health Services Research Center, Emory University School of Medicine, Atlanta, GA, USA.,Department of Surgery, Health Services Research Center, Emory University School of Medicine, Atlanta, GA, USA.,Emory Transplant Center, Atlanta, GA, USA.,Renal Division, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
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37
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Ku E, Yang W, McCulloch CE, Feldman HI, Go AS, Lash J, Bansal N, He J, Horwitz E, Ricardo AC, Shafi T, Sondheimer J, Townsend RR, Waikar SS, Hsu CY. Race and Mortality in CKD and Dialysis: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Kidney Dis 2019; 75:394-403. [PMID: 31732235 DOI: 10.1053/j.ajkd.2019.08.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 08/02/2019] [Indexed: 01/13/2023]
Abstract
RATIONALE & OBJECTIVES Few studies have investigated racial disparities in survival among dialysis patients in a manner that considers risk factors and mortality during the phase of kidney disease before maintenance dialysis. Our objective was to explore racial variations in survival among dialysis patients and relate them to racial differences in comorbid conditions and rates of death in the setting of kidney disease not yet requiring dialysis therapy. STUDY DESIGN Retrospective cohort study. SETTINGS & PARTICIPANTS 3,288 black and white participants in the Chronic Renal Insufficiency Cohort (CRIC), none of whom were receiving dialysis at enrollment. EXPOSURE Race. OUTCOME Mortality. ANALYTIC APPROACH Cox proportional hazards regression was used to examine the association between race and mortality starting at: (1) time of dialysis initiation and (2) entry into the CRIC. RESULTS During 7.1 years of median follow-up, 678 CRIC participants started dialysis. Starting from the time of dialysis initiation, blacks had lower risk for death (unadjusted HR, 0.67; 95% CI, 0.51-0.87) compared with whites. Starting from baseline CRIC enrollment, the strength of the association between some risk factors and dialysis was notably stronger for whites than blacks. For example, the HR for dialysis onset in the presence (vs absence) of heart failure at CRIC enrollment was 1.30 (95% CI, 1.01-1.68) for blacks versus 2.78 (95% CI, 1.90-4.50) for whites, suggesting differential severity of these risk factors by race. When we included deaths occurring both before and after dialysis, risk for death was higher among blacks (vs whites) starting from CRIC enrollment (HR, 1.41; 95% CI, 1.22-1.64), but this finding was attenuated in adjusted models (HR, 1.08; 95% CI, 0.91-1.28). LIMITATIONS Residual confounding. CONCLUSIONS The apparent survival advantage among blacks over whites treated with dialysis may be attributed to selected transition of a subset of whites with more severe comorbid conditions onto dialysis.
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Affiliation(s)
- Elaine Ku
- Division of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA; Division of Pediatric Nephrology, Department of Pediatrics, University of California San Francisco, San Francisco, CA.
| | - Wei Yang
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Charles E McCulloch
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Harold I Feldman
- Division of Nephrology, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alan S Go
- Division of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA; Division of Research, Kaiser Permanente Northern California, San Francisco, CA
| | - James Lash
- Division of Nephrology, Department of Medicine, University of Illinois, Chicago, IL
| | - Nisha Bansal
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Ed Horwitz
- Department of Medicine, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland OH
| | - Ana C Ricardo
- Division of Nephrology, Department of Medicine, University of Illinois, Chicago, IL
| | - Tariq Shafi
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | | | - Raymond R Townsend
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sushrut S Waikar
- Division of Nephrology, Department of Medicine, Brigham and Women's Hospital, Boston, MA; Renal Section, Department of Medicine, Boston University Medical Center, Boston, MA
| | - Chi-Yuan Hsu
- Division of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA
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38
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Yao X, Chen S, Lei W, Shi N, Lin W, Du X, Zhang P, Chen J. The relationship between hemodialysis mortality and the Chinese medical insurance type. Ren Fail 2019; 41:742-749. [PMID: 31478795 PMCID: PMC6735307 DOI: 10.1080/0886022x.2019.1652648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Objective: In China, there are two major medical insurance models: the Urban Basic Medical Insurance (UBMI) and the New Cooperative Medical Scheme (NCMS). The aim of the present study was to evaluate the association of the medical insurance type of patients undergoing hemodialysis (HD) with their survival. Methods: We retrospectively analyzed the end-stage renal disease adult patients initiating HD between January 2010 and December 2014 in Zhejiang province, followed up through 31 December 2015. Patients who had received HD for over 3 months were separated into two groups, based on different medical insurance type. Demographic, clinical data, and clinical outcomes were analyzed. The survival rates were calculated by using the Kaplan-Meier method. Results: A total of 6779 patients (59 ± 16 years old, 4331 males (63.9%)) with UBMI and 7177 (59 ± 16 years old, 3778 males (52.8%)) with NCMS enrolled from 226 hemodialysis units. Compared with UBMI group, patients with NCMS had a smaller percentage of hypertensive nephropathy, diabetes mellitus and arteriovenous fistula, faced with more problems in anemia, hypoalbuminemia and metabolism of calcium and phosphorous. The 1-, 3- and 5-year survival rates were 95.4%, 84.4%, and 74.1% in UBMI group, 93.1%, 79.7%, and 67.7% in NCMS group, respectively. Patients with NCMS showed higher all-cause mortality compared with UBMI (p < .001). In multivariate Cox proportional hazards model, NCMS was independently associated with higher mortality (AHR = 1.53; 95% CI 1.38 ∼ 1.68). Conclusions: The medical insurance model was independently associated with HD patient survival, NCMS was associated with increased mortality among patients undergoing maintenance hemodialysis in China.
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Affiliation(s)
- Xi Yao
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Shaohua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Wenhua Lei
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Nan Shi
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Weiqiang Lin
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Xiaoying Du
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Ping Zhang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
| | - Jianghua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou , Zhejiang Province , China.,Key Laboratory of Nephropathy, Key Laboratory of Kidney Disease Prevention and Control Technology , Hangzhou , Zhejiang Province , China
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Ng YH, Al Mawed S, Pankratz VS, Argyropoulos C, Singh P, Shaffi SK, Myaskovsky L, Unruh M, Harford A. Cognitive assessment in a predominantly Hispanic and Native American population in New Mexico and its association with kidney transplant wait-listing. Clin Transplant 2019; 33:e13674. [PMID: 31332845 DOI: 10.1111/ctr.13674] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 06/30/2019] [Accepted: 07/15/2019] [Indexed: 02/04/2023]
Abstract
The association between cognitive function and the likelihood of kidney transplant (KT) wait-listing, especially in minority populations, has not been clearly delineated. We performed a retrospective review of our pre-KT patients, who consist mainly of Hispanics and Native Americans, over a 16-month period. We collected data on baseline demographics and the Montreal Cognitive Assessment (MoCA) score, at the initial KT evaluation. We defined cognitive impairment as MoCA scores of <24. We constructed linear regression models to identify associations between baseline characteristics with MoCA scores and used Cox proportional hazards models to assess associations between MoCA score and KT wait-listing. During the study period, 154 patients completed the MoCA during their initial evaluation. Mean (standard deviation) MoCA scores were 23.9 (4.6), with 58 (38%) participants scoring <24. Advanced age, lower education and being on dialysis were associated with lower MoCA scores. For every one-point increase in MoCA, the likelihood of being wait-listed increased 1.10-fold (95% CI 1.01-1.19, P = .022). Being Native American and having kidney disease due to diabetes or hypertension were associated with longer time to wait-listing. Cognitive impairment was common in our pre-KT patients and was associated with a lower likelihood of KT wait-listing.
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Affiliation(s)
- Yue-Harn Ng
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Saleem Al Mawed
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Vernon Shane Pankratz
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Christos Argyropoulos
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Pooja Singh
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Saeed Kamran Shaffi
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Larissa Myaskovsky
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Mark Unruh
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Antonia Harford
- Division of Nephrology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
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Impact of Rural Residence on Kidney Transplant Rates Among Waitlisted Candidates in the VA Transplant Programs. Transplantation 2019; 103:1945-1952. [PMID: 31343570 DOI: 10.1097/tp.0000000000002624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Although proportionally more veterans live in rural areas compared to nonveterans, the impact of rurality status on kidney transplantation (KTP) access among veterans is unknown. Our objective was to study KTP rates among veterans listed for KTP and to compare the impact of rurality status on KTP rates among veterans and nonveterans. METHODS Retrospective cohort study of adult patients waitlisted per the United Network for Organ Sharing from January 2000 to December 2014. Patient characteristics were compared using Chi-square or t tests, as appropriate, by veteran status and patient rurality. Multivariable competing-risks Cox regression was performed. RESULTS The study sample included 3281 veterans receiving care in Veteran Health Administration transplant programs and 445 177 nonveterans. Veterans, compared to nonveterans, were older (57 versus 50 y; P < 0.001), more likely to be male (96% versus 60%; P < 0.001) or diabetic at waitlisting (51% versus 41%; P < 0.001), and less likely be an urban resident (79% versus 84%; P < 0.001). Among veterans, dialysis duration prior to registration was longer among urban compared to all other rurality types (810 ± 22.1 d versus 632 to 702 ± 41.6 to 77.6 d; P = 0.02). In multivariate competing risks models, there was no evidence that the hazard of transplant among veterans differs by residential rurality. CONCLUSIONS Among waitlisted veterans served by Veteran Health Administration transplant programs, residential rurality status does not portend longer waiting time for KTP.
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Johnson M, Lacy N, Wilson J, Oakley K, Gianaris K, Perkins JA, Blanck JF, Purnell TS. Overcoming Disparities in Living Donor Kidney Transplantation in the USA: the Promise of Academic and Community Stakeholder Partnerships. CURRENT TRANSPLANTATION REPORTS 2019. [DOI: 10.1007/s40472-019-00244-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Ladin K, Emerson J, Berry K, Butt Z, Gordon EJ, Daniels N, Lavelle TA, Hanto DW. Excluding patients from transplant due to social support: Results from a national survey of transplant providers. Am J Transplant 2019; 19:193-203. [PMID: 29878515 PMCID: PMC6427829 DOI: 10.1111/ajt.14962] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 05/08/2018] [Accepted: 05/31/2018] [Indexed: 01/25/2023]
Abstract
Social support is used to determine transplant eligibility despite lack of an evidence base and vague regulatory guidance. It is unknown how many patients are disqualified from transplantation due to inadequate support, and whether providers feel confident using these subjective criteria to determine eligibility. Transplant providers (n = 551) from 202 centers estimated that, on average, 9.6% (standard deviation = 9.4) of patients evaluated in the prior year were excluded due to inadequate support. This varied significantly by United Network for Organ Sharing region (7.6%-12.2%), and by center (21.7% among top quartile). Significantly more providers used social support in listing decisions than believed it ought to be used (86.3% vs 67.6%). Nearly 25% believed that using social support in listing determinations was unfair or were unsure; 67.3% felt it disproportionately impacted patients of low socioeconomic status. Overall, 42.4% were only somewhat or not at all confident using social support to determine transplant suitability. Compared to surgical/medical transplant providers, psychosocial providers had 2.13 greater odds of supporting the criteria (P = .03). Furthermore, 69.2% supported revised guidelines for use of social support in listing decisions. Social support criteria should be reconsidered in light of the limited evidence, potential for disparities, practice variation, low provider confidence, and desire for revised guidelines.
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Affiliation(s)
- Keren Ladin
- Departments of Occupational Therapy and Community Health, Tufts University, Medford, MA, USA,Research on Ethics, Aging, and Community Health (REACH Lab), Tufts University, Medford, MA, USA
| | - Joanna Emerson
- Research on Ethics, Aging, and Community Health (REACH Lab), Tufts University, Medford, MA, USA
| | - Kelsey Berry
- Interfaculty Initiative on Health Policy, Harvard University, Cambridge, MA, USA
| | - Zeeshan Butt
- Departments of Medical Social Sciences, Surgery, and Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elisa J. Gordon
- Departments of Medical Social Sciences, Surgery, and Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Norman Daniels
- Department of Global Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tara A. Lavelle
- Center for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
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Ladin K, Emerson J, Butt Z, Gordon EJ, Hanto DW, Perloff J, Daniels N, Lavelle TA. How important is social support in determining patients' suitability for transplantation? Results from a National Survey of Transplant Clinicians. JOURNAL OF MEDICAL ETHICS 2018; 44:666-674. [PMID: 29954874 PMCID: PMC6425471 DOI: 10.1136/medethics-2017-104695] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 04/16/2018] [Accepted: 05/10/2018] [Indexed: 05/17/2023]
Abstract
BACKGROUND National guidelines require programmes use subjective assessments of social support when determining transplant suitability, despite limited evidence linking it to outcomes. We examined how transplant providers weigh the importance of social support for kidney transplantation compared with other factors, and variation by clinical role and personal beliefs. METHODS The National survey of the American Society of Transplant Surgeons and the Society of Transplant Social Work in 2016. Using a discrete choice approach, respondents compared two hypothetical patient profiles and selected one for transplantation. Conditional logistic regression estimated the relative importance of each factor; results were stratified by clinical role (psychosocial vs medical/surgical providers) and beliefs (outcomes vs equity). RESULTS Five hundred and eighy-four transplant providers completed the survey. Social support was the second most influential factor among transplant providers. Providers were most likely to choose a candidate who had social support (OR=1.68, 95% CI 1.50 to 1.86), always adhered to a medical regimen (OR=1.64, 95% CI 1.46 to 1.88), and had a 15 years life expectancy with transplant (OR=1.61, 95% CI 1.42 to 1.85). Psychosocial providers were more influenced by adherence and quality of life compared with medical/surgical providers, who were more influenced by candidates' life expectancy with transplant (p<0.05). For providers concerned with avoiding organ waste, social support was the most influential factor, while it was the least influential for clinicians concerned with fairness (p<0.05). CONCLUSIONS Social support is highly influential in listing decisions and may exacerbate transplant disparities. Providers' beliefs and reliance on social support in determining suitability vary considerably, raising concerns about transparency and justice.
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Affiliation(s)
- Keren Ladin
- Departments of Occupational Therapy and Community, Tufts University, Medford, Massachusetts, USA
- Research on Ethics, Aging, and Community Health (REACH Lab), Tufts University, Medford, Massachusetts, USA
| | - Joanna Emerson
- Research on Ethics, Aging, and Community Health (REACH Lab), Tufts University, Medford, Massachusetts, USA
| | - Zeeshan Butt
- Department of Surgery, Division of Transplantation, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Elisa J Gordon
- Department of Surgery, Division of Transplantation, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Douglas W Hanto
- Department of Surgery, Vanderbilt Transplant Center, Vanderbilt University Medical Center, Boston, Massachusetts, USA
| | - Jennifer Perloff
- Heller School of Social Policy and Management, Brandeis University, Waltham, Massachusetts, USA
| | - Norman Daniels
- Department of Global Health and Population, Harvard Chan School of Public Health, Boston, Massachusetts, USA
| | - Tara A Lavelle
- Center for the Evaluation of Value and Risk, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
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Harhay MN, Harhay MO, Ranganna K, Boyle SM, Levin Mizrahi L, Guy S, Malat GE, Xiao G, Reich DJ, Patzer RE. Association of the kidney allocation system with dialysis exposure before deceased donor kidney transplantation by preemptive wait-listing status. Clin Transplant 2018; 32:e13386. [PMID: 30132986 DOI: 10.1111/ctr.13386] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 08/08/2018] [Accepted: 08/16/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND It is unknown whether the new kidney transplant allocation system (KAS) has attenuated the advantages of preemptive wait-listing as a strategy to minimize pretransplant dialysis exposure. METHODS We performed a retrospective study of adult US deceased donor kidney transplant (DDKT) recipients between December 4, 2011-December 3, 2014 (pre-KAS) and December 4, 2014-December 3, 2017 (post-KAS). We estimated pretransplant dialysis durations by preemptive listing status in the pre- and post-KAS periods using multivariable gamma regression models. RESULTS Among 65 385 DDKT recipients, preemptively listed recipients (21%, n = 13 696) were more likely to be white (59% vs 34%, P < 0.001) and have private insurance (64% vs 30%, P < 0.001). In the pre- and post-KAS periods, average adjusted pretransplant dialysis durations for preemptively listed recipients were <2 years in all racial groups. Compared to recipients who were listed after starting dialysis, preemptively listed recipients experienced 3.85 (95% Confidence Interval [CI] 3.71-3.99) and 4.53 (95% CI 4.32-4.74) fewer average years of pretransplant dialysis in the pre- and post-KAS periods, respectively (P < 0.001 for all comparisons). CONCLUSIONS Preemptively wait-listed DDKT recipients continue to experience substantially fewer years of pretransplant dialysis than recipients listed after dialysis onset. Efforts are needed to improve both socioeconomic and racial disparities in preemptive wait-listing.
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Affiliation(s)
- Meera N Harhay
- Division of Nephrology and Hypertension, Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania.,Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Michael O Harhay
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Karthik Ranganna
- Division of Nephrology and Hypertension, Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Suzanne M Boyle
- Division of Nephrology and Hypertension, Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Lissa Levin Mizrahi
- Division of Nephrology and Hypertension, Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Stephen Guy
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Gregory E Malat
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Gary Xiao
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - David J Reich
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania
| | - Rachel E Patzer
- Division of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia
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45
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Liu A, Woodside KJ, Augustine JJ, Sarabu N. Racial disparity in kidney transplant survival relates to late rejection and is independent of steroid withdrawal. Clin Transplant 2018; 32:e13381. [PMID: 30098053 DOI: 10.1111/ctr.13381] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Revised: 07/24/2018] [Accepted: 08/06/2018] [Indexed: 01/06/2023]
Abstract
Black kidney transplant recipients have more acute rejection (AR) and inferior graft survival. We sought to determine whether early steroid withdrawal (ESW) had an impact on AR and death-censored graft loss (DCGL) in blacks. From 2006 to 2012, AR and graft survival were analyzed in 483 kidney recipients (208 black and 275 non-black). Rates of ESW were similar between blacks (65%) and non-blacks (67%). AR was defined as early (≤3 months) or late (>3 months). The impact of black race, early AR, and late AR on death-censored graft failure was analyzed using univariate and multivariate Cox models. Blacks had greater dialysis vintage, more deceased donor transplants, and less HLA matching, yet rates of early AR were comparable between blacks and non-blacks. However, black race was a risk factor for late AR (HR: 3.48 (95% CI: 1.87-6.47)) Blacks had a greater rate of DCGL, partially driven by late AR (HR with late AR: 5.6; 95% CI: 3.3-9.3). ESW had no significant interaction with black race for risk of early AR, late AR, or DCGL. Independent of ESW, black kidney recipients had a higher rate of late AR after kidney transplantation. Late AR was highly predictive of DCGL and contributed to inferior graft survival in blacks.
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Affiliation(s)
- Angela Liu
- Case Western Reserve University School of Medicine, Cleveland, Ohio
| | | | | | - Nagaraju Sarabu
- Case Western Reserve University School of Medicine, Cleveland, Ohio.,Division of Nephrology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio
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46
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Hutcheson SS, Phillips V, Patzer R, Smith A, Vega JD, Morris AA. Impact of insurance type on eligibility for advanced heart failure therapies and survival. Clin Transplant 2018; 32:e13328. [PMID: 29905971 PMCID: PMC6113069 DOI: 10.1111/ctr.13328] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2018] [Indexed: 12/01/2022]
Abstract
BACKGROUND Medicaid insurance in Georgia provides limited reimbursement for heart transplant (HT) and left ventricular assist devices (LVAD). We examined whether insurance type affects eligibility for and survival after receipt of HT or LVAD. METHODS AND RESULTS We retrospectively identified patients evaluated for HT/LVAD from 2012 to 2016. We used multivariable logistic and Cox proportional hazards regression to examine the association of insurance type on treatment eligibility and 1-year survival. Of 569 patients evaluated, 282 (49.6%) had private, 222 (39.0%) had Medicare, and 65 (11.4%) had Medicaid insurance. Patients with Medicaid were younger, more likely to be Black, with fewer medical comorbidities. In adjusted models, Medicare and Medicaid insurance predicted lower odds of eligibility for HT, but did not affect survival after HT. Among those ineligible for HT, Medicaid patients were less likely to receive destination therapy (DT) LVAD (adj OR 0.08, 95% CI 0.01-0.66; P = .02) and had increased risk of death (adj HR = 2.03, 95% CI 1.13-3.63; P = .01). CONCLUSIONS Despite younger age and fewer comorbidities, patients with Medicaid insurance are less likely to receive DT LVAD and have an increased risk of death once deemed ineligible for HT. Medicaid patients in Georgia need improved access to DT LVAD.
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Affiliation(s)
| | - Victoria Phillips
- Emory Rollins School of Public Health, Division of Health Policy and Management, Atlanta GA
| | - Rachel Patzer
- Emory University School of Medicine, Division of Surgery Atlanta GA
| | - Andrew Smith
- Emory University School of Medicine, Division of Cardiology Atlanta GA
| | - J. David Vega
- Emory Rollins School of Public Health, Division of Health Policy and Management, Atlanta GA
| | - Alanna A. Morris
- Emory University School of Medicine, Division of Cardiology Atlanta GA
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47
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Harhay MN, McKenna RM, Boyle SM, Ranganna K, Mizrahi LL, Guy S, Malat GE, Xiao G, Reich DJ, Harhay MO. Association between Medicaid Expansion under the Affordable Care Act and Preemptive Listings for Kidney Transplantation. Clin J Am Soc Nephrol 2018; 13:1069-1078. [PMID: 29929999 PMCID: PMC6032587 DOI: 10.2215/cjn.00100118] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 04/13/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND OBJECTIVES Before 2014, low-income individuals in the United States with non-dialysis-dependent CKD had fewer options to attain health insurance, limiting their opportunities to be preemptively wait-listed for kidney transplantation. We examined whether expanding Medicaid under the Affordable Care Act was associated with differences in the number of individuals who were pre-emptively wait-listed with Medicaid coverage. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Using the United Network of Organ Sharing database, we performed a retrospective observational study of adults (age≥18 years) listed for kidney transplantation before dialysis dependence between January 1, 2011-December 31, 2013 (pre-Medicaid expansion) and January 1, 2014-December 31, 2016 (post-Medicaid expansion). In multinomial logistic regression models, we compared trends in insurance types used for pre-emptive wait-listing in states that did and did not expand Medicaid with a difference-in-differences approach. RESULTS States that fully implemented Medicaid expansion on January 1, 2014 ("expansion states," n=24 and the District of Columbia) had a 59% relative increase in Medicaid-covered pre-emptive listings from the pre-expansion to postexpansion period (from 1094 to 1737 listings), compared with an 8.8% relative increase (from 330 to 359 listings) among 19 Medicaid nonexpansion states (P<0.001). From the pre- to postexpansion period, the adjusted proportion of listings with Medicaid coverage decreased by 0.3 percentage points among nonexpansion states (from 4.0% to 3.7%, P=0.09), and increased by 3.0 percentage points among expansion states (from 7.0% to 10.0%, P<0.001). Medicaid expansion was associated with absolute increases in Medicaid coverage by 1.4 percentage points among white listings, 4.0 percentage points among black listings, 5.9 percentage points among Hispanic listings, and 5.3 percentage points among other listings (P<0.001 for all comparisons). CONCLUSIONS Medicaid expansion was associated with an increase in the proportion of new pre-emptive listings for kidney transplantation with Medicaid coverage, with larger increases in Medicaid coverage among racial and ethnic minority listings than among white listings.
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Affiliation(s)
- Meera N. Harhay
- Division of Nephrology and Hypertension, Department of Medicine, and
- Epidemiology and Biostatistics and
| | - Ryan M. McKenna
- Health Management and Policy, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Suzanne M. Boyle
- Division of Nephrology and Hypertension, Department of Medicine, and
| | - Karthik Ranganna
- Division of Nephrology and Hypertension, Department of Medicine, and
| | | | - Stephen Guy
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania; Departments of
| | - Gregory E. Malat
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania; Departments of
| | - Gary Xiao
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania; Departments of
| | - David J. Reich
- Division of Multi-Organ Transplantation and Hepatobiliary Surgery, Department of Surgery, Drexel University College of Medicine, Philadelphia, Pennsylvania; Departments of
| | - Michael O. Harhay
- Palliative and Advanced Illness Research Center and
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, and
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania; and
- Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center, Pennsylvania
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48
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Shelton BA, Sawinski D, Ray C, Reed RD, MacLennan PA, Blackburn J, Young CJ, Gray S, Yanik M, Massie A, Segev DL, Locke JE. Decreasing deceased donor transplant rates among children (≤6 years) under the new kidney allocation system. Am J Transplant 2018; 18:1690-1698. [PMID: 29333639 DOI: 10.1111/ajt.14663] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 12/19/2017] [Accepted: 12/21/2017] [Indexed: 01/25/2023]
Abstract
The Kidney Allocation System (KAS) was implemented in December 2014 with unknown impact on the pediatric waitlist. To understand the effect of KAS on pediatric registrants, deceased donor kidney transplant (DDKT) rate was assessed using interrupted time series analysis and time-to-event analysis. Two allocation eras were defined with an intermediary washout period: Era 1 (01/01/2013-09/01/2014), Era 2 (09/01/2014-03/01/2015), and Era 3(03/01/2015-03/01/2017). When using Cox proportional hazards, there was no significant association between allocation era and DDKT likelihood as compared to Era 1 (Era 3: aHR: 1.07, 95% CI: 0.97-1.18, P = .17). However, this was not consistent across all subgroups. Specifically, while highly sensitized pediatric registrants were consistently less likely to be transplanted than their less sensitized counterparts, this disparity was attenuated in Era 3 (Era 1 aHR: 0.04, 95%CI: 0.01-0.14, P < .001; Era 3 aHR: 0.33, 95% CI: 0.21-0.53, P < .001) whereas the youngest registrants aged 0-6 experienced a 21% decrease in DDKT likelihood in Era 3 as compared to Era 1 (aHR: 0.79, 95% CI: 0.64-0.98, P = .03). Thus, while overall DDKT likelihood remained stable with the introduction of KAS, registrants ≤ 6 years of age were disadvantaged, warranting further study to ensure equitable access to transplantation.
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Affiliation(s)
- Brittany A Shelton
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Deirdre Sawinski
- Penn Transplant Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Ray
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rhiannon D Reed
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paul A MacLennan
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Justin Blackburn
- School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Carlton J Young
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stephen Gray
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Megan Yanik
- Department of Pediatrics, Children's of Alabama, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Allan Massie
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dorry L Segev
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jayme E Locke
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL, USA
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49
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Miller R, Akateh C, Thompson N, Tumin D, Hayes D, Black SM, Tobias JD. County socioeconomic characteristics and pediatric renal transplantation outcomes. Pediatr Nephrol 2018. [PMID: 29532229 PMCID: PMC6425941 DOI: 10.1007/s00467-018-3928-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
BACKGROUND Existing risk adjustment models for solid organ transplantation omit socioeconomic status (SES). With limited data available on transplant candidates' SES, linkage of transplant outcomes data to geographic SES measures has been proposed. We investigate the utility of county SES for understanding differences in pediatric kidney transplantation (KTx) outcomes. METHODS We identified patients < 18 years of age receiving first-time KTx using United Network for Organ Sharing registry data in two eras: 2006-2010 and 2011-2015, corresponding to periods of county SES data collection. In each era, counties were ranked by 1-year rates of survival with intact graft, and by county SES score. We used Spearman correlation (ρ) to evaluate the association between county rankings on SES and transplant outcomes in each era and consistency between these measures across eras. We also evaluated the utility of county SES for improving prediction of individual KTx outcomes. RESULTS The analysis included 2972 children and 108 counties. County SES and transplant outcomes were not correlated in either 2006-2010 (ρ = 0.06; p = 0.525) or 2011-2015 (ρ = 0.162, p = 0.093). County SES rankings were strongly correlated between eras (ρ = 0.99, p < 0.001), whereas county rankings of transplant outcomes were not correlated between eras (ρ = 0.16, p = 0.097). Including county SES quintile in individual-level models of transplant outcomes did not improve model predictive utility. CONCLUSIONS Pediatric kidney transplant outcomes are unstable from period to period at the county level and are not correlated with county-level SES. Appropriate adjustment for SES disparities in transplant outcomes could require further collection of detailed individual SES data.
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Affiliation(s)
- Rebecca Miller
- Department of Anesthesiology and Pain Medicine, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.
| | - Clifford Akateh
- Department of Surgery, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Noelle Thompson
- Center for Innovation in Pediatric Practice, Nationwide Children’s Hospital, Columbus, OH, USA
| | - Dmitry Tumin
- Department of Anesthesiology and Pain Medicine, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA,Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Don Hayes
- Section of Pulmonary Medicine, Nationwide Children’s Hospital, Columbus, OH, USA,Department of Pulmonary and Critical Care, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Sylvester M. Black
- Department of Surgery, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Joseph D. Tobias
- Department of Anesthesiology and Pain Medicine, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA,Department of Anesthesiology and Pain Medicine, The Ohio State University College of Medicine, Columbus, OH, USA
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50
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Lovasik BP, Zhang R, Hockenberry JM, Schrager JD, Pastan SO, Adams AB, Mohan S, Larsen CP, Patzer RE. Emergency department use among kidney transplant recipients in the United States. Am J Transplant 2018; 18:868-880. [PMID: 29116680 DOI: 10.1111/ajt.14578] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 09/17/2017] [Accepted: 10/30/2017] [Indexed: 01/25/2023]
Abstract
Patients with end-stage renal disease use the emergency department (ED) at a 6-fold higher rate than do other US adults. No national studies have described ED use rates among kidney transplant (KTx) recipients, and the factors associated with higher ED use. We examined a cohort of 132 725 adult KTx recipients in the United States Renal Data System (2005-2013). Data on ED visits, hospitalization, and outpatient nephrology visits were obtained from Medicare claims databases. Nearly half (46.1%) of KTx recipients had at least one ED visit (1.61 ED visits/patient-year [PY]), and 39.7% of ED visits resulted in hospitalization in the first year posttransplantation. ED visit rate was high in the first 30 days (5.26 visits/PY) but declined substantially thereafter (1.81 visits/PY in months 1-3; 1.13 visits/PY in months 3-12 posttransplantation). ED visit rates were higher in the first 30 days versus rates for dialysis patients but less than half the rate thereafter. Female sex, public insurance, medical comorbidities, longer pretransplantation dialysis vintage, and delayed graft function were associated with higher ED use in the first year post-KTx. Policies and strategies addressing potentially preventable ED visits should be promoted to help improve patient care and increase efficient use of ED resources.
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Affiliation(s)
- Brendan P Lovasik
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Rebecca Zhang
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Justin D Schrager
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Stephen O Pastan
- Emory University Transplant Center, Atlanta, GA, USA.,Renal Division, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Andrew B Adams
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.,Emory University Transplant Center, Atlanta, GA, USA
| | - Sumit Mohan
- Columbia University Medical Center, New York, NY, USA
| | - Christian P Larsen
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.,Emory University Transplant Center, Atlanta, GA, USA
| | - Rachel E Patzer
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.,Rollins School of Public Health, Emory University, Atlanta, GA, USA.,Emory University Transplant Center, Atlanta, GA, USA
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