WIP 51 - Language Preference and Pediatric Kidney Transplant Outcomes

Publication Number: WIP 51.7526

Yaritzy M. Astudillo, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States; Debora Matossian, Ann & Robert H. Lurie Children's Hospital of Chicago, chicago, IL, United States

Background: Within the United States, language represents an important social influencer of health. Specifically, having a Non-English Language Preference (NELP) influences how patients and patient-families seek, understand, and adhere to medical care. In pediatric care settings, NELP is associated with challenges in accessing care, quality of delivered healthcare, adverse events, and mortality.

Objective: The objective of this analysis is to test the association between language preference and renal transplant outcomes in a single center cohort of youth. This study builds on a small single center pilot suggestive of association with worse outcomes for NELP patients.

Design/Methods: This is a retrospective single-center study of pediatric renal transplant recipients approved by the Institutional Review Board of Ann and Robert H. Lurie Children’s Hospital of Chicago. Pediatric patients between the ages of 0 to 21-years-old who received renal transplants between January 2014 and January 2024 were eligible for inclusion. Multi-organ transplant recipients were excluded as were those with graft failure in < 3 months. Patient demographics, primary causes of end stage renal disease (ESRD), renal replacement therapy, and graft details were collected. The determination of English language preference and Non-English language preference was made based on patient stated preference, language interpreter use, or language spoken at home, in the electronic medical record. Exposure outcome include time of CKD progression, time on dialysis, length of stay post-transplant, time to first admission, AKI and rejection as well as differences in viremia results. Proportions will be compared using Mann-Whitney, chi squared tests, and unpaired t-test. Kaplan-Meier survival curves will used. Two-tailed p values of < 0.05 will be considered significant.

Data collection is expected to be completed by Nov/Dec 2024 with analysis completed in Jan/Feb 2025. Estimated inclusion of 200+ patients (pilot study n= 45).