Development and validation of a risk score for chronic kidney disease in HIV infection using prospective cohort data

Amanda Mocroft1, Jens D Lundgren2, Michael Ross3

  • 1Department of Infection and Population Health, University College London, London, United Kingdom.

Plos Medicine
|April 1, 2015
PubMed

Insights

A new risk score identifies chronic kidney disease (CKD) risk in HIV-positive individuals. This tool helps clinicians balance antiretroviral therapy benefits against CKD risks, aiding patient management.

Area of Science:

  • Nephrology
  • Infectious Diseases
  • Public Health

Background:

  • Chronic kidney disease (CKD) presents a significant health challenge for individuals with HIV, contributing to increased illness and death.
  • Developing a predictive model for CKD is crucial for managing antiretroviral therapy (ART) and identifying high-risk patients.

Purpose of the Study:

  • To create and validate a simple, broadly applicable long-term risk score for CKD in people living with HIV.
  • To provide a clinical tool for assessing the risks and benefits of nephrotoxic antiretrovirals.

Main Methods:

  • Utilized data from 17,954 HIV-positive individuals in the D:A:D study.
  • Defined CKD as confirmed eGFR ≤ 60 ml/min/1.73 m² over >3 months.
  • Developed a risk score using Poisson regression based on nine predictive factors, externally validated on two independent cohorts.

Main Results:

  • Identified older age, IV drug use, HCV coinfection, lower baseline eGFR, female gender, lower CD4 nadir, hypertension, diabetes, and CVD as CKD predictors.
  • The risk score effectively stratified individuals into low, medium, and high CKD risk groups, with 5-year CKD probabilities of 1:393, 1:47, and 1:6, respectively.
  • External validation in two independent cohorts confirmed the risk score's predictive accuracy.

Conclusions:

  • Both traditional and HIV-specific factors are significant predictors of CKD in this population.
  • The validated risk score offers practical clinical utility for guiding ART decisions and identifying at-risk individuals.
Abstract

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