Predictive value of creatinine-based equations of kidney function in the long-term prognosis of United Arab Emirates patients with vascular risk

Published: 19 November 2019| Version 1 | DOI: 10.17632/ppfwfpprbc.1
Contributors:
Saif Al-Shamsi, Romona Govender, Jeffrey King

Description

The aim of this study was to to compare the prognostic abilities of different creatinine-based equations of kidney function [Modification of Diet in Renal Disease Study (MDRD), Mayo Clinic Quadratic (MCQ) equation, Full Age Spectrum (FAS) equation, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation, and the Body Surface Are adjusted Cockcroft-Gault (BSA-CG) formula] for predicting all-cause mortality in United Arab Emirates (UAE) nationals with cardiovascular disease (CVD) risk factors. This study was conducted in outpatient clinics at a tertiary care center in Al-Ain, UAE, between April 2008 and September 2018. The sample comprised of 1,186 adult UAE nationals, aged ≥ 18 years, with one or more CVD risk factors. At the end of the 9-year follow-up period, 112 (9.4%) participants died. After multivariable adjustment, the discriminative ability for all-cause mortality was significantly higher in the BSA-CG formula than in the CKD-EPI equation (C-indices: 0.869 vs. 0.861, p = 0.037, respectively). Net reclassification improvement was significantly positive and favored the BSA-CG formula (0.54; 95% confidence interval, 0.35 to 0.64) compared to the CKD-EPI equation. The BSA-CG formula performed slightly better than the CKD-EPI equation for predicting mortality in UAE nationals with vascular comorbidities.

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Categories

Cardiovascular Disease, Mortality, Statistical Prediction, Renal Function Test

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