Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis

• Published in: Clinical transplantation Vol. 36; no. 12; pp. e14821 - n/a
• Main Authors: Buchalter, R. Blake, Huml, Anne M., Poggio, Emilio D., Schold, Jesse D.
• Format: Journal Article
• Language: English
• Published: Denmark John Wiley and Sons Inc 01.12.2022
• Subjects: dialysis; disparities; epidemiology; ethnicity/race; Humans; Kidney Failure, Chronic - surgery; Kidney Transplantation - methods; Original; Prospective Studies; Renal Dialysis; Retrospective Studies; Tissue Donors; Waiting Lists; waitlist management; dialysis; disparities; epidemiology; ethnicity/race; waitlist management
• ISSN: 0902-0063; 1399-0012
• DOI: 10.1111/ctr.14821

Introduction Preemptive wait‐listing of deceased donor kidney transplant (DDKT) candidates before maintenance dialysis increases the likelihood of transplantation and improves outcomes among transplant patients. Previous studies have identified substantial disparities in rates of preemptive listing, but a gap exists in examining geographic sources of disparities, particularly for sub‐regional units. Identifying small area hot spots where delayed listing is particularly prevalent may more effectively inform both health policy and regionally appropriate interventions. Methods We conducted a retrospective cohort study utilizing 2010–2020 Scientific Registry of Transplant Recipients (SRTR) data for all DDKT candidates to examine overall and race‐stratified geospatial hot spots of post‐dialysis wait‐listing in U.S. zip code tabulation areas (ZCTA). Three geographic clustering methods were utilized to identify robust statistically significant hot spots of post‐dialysis wait‐listing. Results Novel sub‐regional hot spots were identified in the southeast, southwest, Appalachia, and California, with a majority existing in the southeast. Race‐stratified results were more nuanced, but broadly reflected similar patterns. Comparing transplant candidates in hot spots to candidates in non‐clusters indicated a strong association between residence in hot spots and high area deprivation (OR: 6.76, 95%CI: 6.52‐7.02), indicating that improving access healthcare in these areas may be particularly beneficial. Conclusion Our study identified overall and race‐stratified hot spots with low rates of preemptive wait list placement in the U.S., which may be useful for prospective healthcare policy and interventions via targeting of these narrowly defined geographical areas.