TY - JOUR AU - Basker, Shanmugapriya PY - 2020/10/22 Y2 - 2024/03/28 TI - Machine learning approaches to analyse effect of ethnicity on outcomes following living kidney donation in UK: BAPIOACI9-P05 JF - The Physician JA - phy VL - 6 IS - 2 SE - DO - 10.38192/1.6.2.9 UR - https://www.physicianjnl.net/index.php/phy/article/view/43 SP - AB - <p>Poster presented at BAPIO National Conference, London. 2019</p><p>Peer reviewed by Subarna Chakravorty PhD &amp; Sunil Daga PhD</p><p>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.</p> ER -