Machine learning approaches to analyse effect of ethnicity on outcomes following living kidney donation in UK: BAPIOACI9-P05

Abstract

Poster presented at BAPIO National Conference, London. 2019

Peer reviewed by Subarna Chakravorty PhD & Sunil Daga PhD

Essential hypertension, End age, and deprivation index ranked as three most important variables in the risk of development of hypertension after donation. Logistic regression analysis showed that pre-existing essential hypertension, male gender, age at kidney donation, and low numbers of transplant providers are important risk factors for long term hypertension risk. In sub-analysis, we found that South Asian ethnicity and obesity are additional risk factors.