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Updated: Apr 15, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
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.
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.
Background:
Chronic kidney disease (CKD) is a major health issue for HIV-positive individuals, associated with increased morbidity and mortality. Development and implementation of a risk score model for CKD would allow comparison of the risks and benefits of adding potentially nephrotoxic antiretrovirals to a treatment regimen and would identify those at greatest risk of CKD. The aims of this study were to develop a simple, externally validated, and widely applicable long-term risk score model for CKD in HIV-positive individuals that can guide decision making in clinical practice.
Methods And Findings:
A total of 17,954 HIV-positive individuals from the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) study with ≥3 estimated glomerular filtration rate (eGFR) values after 1 January 2004 were included. Baseline was defined as the first eGFR > 60 ml/min/1.73 m2 after 1 January 2004; individuals with exposure to tenofovir, atazanavir, atazanavir/ritonavir, lopinavir/ritonavir, other boosted protease inhibitors before baseline were excluded. CKD was defined as confirmed (>3 mo apart) eGFR ≤ 60 ml/min/1.73 m2. Poisson regression was used to develop a risk score, externally validated on two independent cohorts. In the D:A:D study, 641 individuals developed CKD during 103,185 person-years of follow-up (PYFU; incidence 6.2/1,000 PYFU, 95% CI 5.7-6.7; median follow-up 6.1 y, range 0.3-9.1 y). Older age, intravenous drug use, hepatitis C coinfection, lower baseline eGFR, female gender, lower CD4 count nadir, hypertension, diabetes, and cardiovascular disease (CVD) predicted CKD. The adjusted incidence rate ratios of these nine categorical variables were scaled and summed to create the risk score. The median risk score at baseline was -2 (interquartile range -4 to 2). There was a 1:393 chance of developing CKD in the next 5 y in the low risk group (risk score < 0, 33 events), rising to 1:47 and 1:6 in the medium (risk score 0-4, 103 events) and high risk groups (risk score ≥ 5, 505 events), respectively. Number needed to harm (NNTH) at 5 y when starting unboosted atazanavir or lopinavir/ritonavir among those with a low risk score was 1,702 (95% CI 1,166-3,367); NNTH was 202 (95% CI 159-278) and 21 (95% CI 19-23), respectively, for those with a medium and high risk score. NNTH was 739 (95% CI 506-1462), 88 (95% CI 69-121), and 9 (95% CI 8-10) for those with a low, medium, and high risk score, respectively, starting tenofovir, atazanavir/ritonavir, or another boosted protease inhibitor. The Royal Free Hospital Clinic Cohort included 2,548 individuals, of whom 94 individuals developed CKD (3.7%) during 18,376 PYFU (median follow-up 7.4 y, range 0.3-12.7 y). Of 2,013 individuals included from the SMART/ESPRIT control arms, 32 individuals developed CKD (1.6%) during 8,452 PYFU (median follow-up 4.1 y, range 0.6-8.1 y). External validation showed that the risk score predicted well in these cohorts. Limitations of this study included limited data on race and no information on proteinuria.
Conclusions:
Both traditional and HIV-related risk factors were predictive of CKD. These factors were used to develop a risk score for CKD in HIV infection, externally validated, that has direct clinical relevance for patients and clinicians to weigh the benefits of certain antiretrovirals against the risk of CKD and to identify those at greatest risk of CKD.
Related Concept Videos
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Chronic Kidney Disease I: Introduction
Chronic Kidney Disease II: Clinical Manifestations
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Chronic Kidney Disease III: Interprofessional Care
Chronic Kidney Disease IV: Nursing Management

