Validation of the Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) chronic kidney disease risk score in HIV‐infected patients in the USA. Issue 5 (27th January 2020)

• Record Type: Journal Article
• Authors: Mills, AM; Schulman, KL; Fusco, JS; Brunet, L; Hsu, R; Beyer, A; Prajapati, G; Mounzer, K; Fusco, GP
• Is Part Of: HIV medicine. Volume 21:Issue 5(2020)
• Page Start: 299
• Page End: 308
• Publication Date: 2020-01-27
• Subjects: chronic kidney disease -- Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) risk score -- HIV -- renal impairment -- validation; HIV infections -- Treatment -- Periodicals; HIV-positive persons -- Periodicals; HIV infections -- Treatment -- Decision making -- Periodicals; 616.9792
• DOI: 10.1111/hiv.12826
• Languages: English
• ISSNs: 1464-2662

Abstract

Abstract : Objectives: The aim of the study was to assess the validity of an easy‐to‐calculate chronic kidney disease (CKD) risk score developed by the Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) group in a longitudinal observational study of people living with HIV (PLWH) in the USA. Methods: PLWH (2002–2016) without prior exposure to potentially nephrotoxic antiretroviral agents and with at least three estimated glomerular filtration rate (eGFR) test results were identified in the Observational Pharmaco‐Epidemiology Research and Analysis (OPERA ® ) cohort. Three samples were drawn independently using the same eligibility criteria but each using a different eGFR equation, specifically the Cockcroft–Gault (C‐G), Modification of Diet in Renal Disease (MDRD) or Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) eGFR estimation method. Full and short D:A:D risk scores were applied. CKD was defined as a confirmed decrease in eGFR to < 60 mL/min/1.73 m 2 (stages 3–5). Poisson models estimated the association between CKD incidence and a one‐point increase in the continuous risk score. The incidence rate ratio (IRR), adjusted IRR (aIRR), and Harrell's discrimination statistic were used to assess validity. Results: There were 19 444, 22 727 and 22 748 PLWH in the OPERA C‐G, CKD‐EPI and MDRD samples, respectively. The median (minimum–maximum) follow‐up duration was 6.1 (0.3–9.1) years in the D:A:D cohort and ranged from 3.2 to 3.5 (0.2–15.5) years in the OPERA validation samples. The observation time for the majority of PLWH in the D:A:D cohort began prior to 2006, in stark contrast to the OPERA validation samples, where the majority of PLWH were observed after 2011. The CKD incidence ranged from 7.3 per 1000 person‐years [95% confidence interval (CI) 6.8, 7.9 per 1000 person‐years] in OPERA C‐G to 11.0 (95% CI 10.4, 11.6 per 1000 person‐years) in OPERA MDRD. In OPERA samples, IRRs by risk group and adjusted IRRs (full risk score) were similar to those in the D:A:D derivation cohort (adjusted IRR 1.3; 95% CI 1.3, 1.3). Harrell's c‐statistic ranged from 0.87 to 0.92 in the OPERA samples, comparable to that in the derivation cohort (0.92). Results for short scores were similar. Conclusions: The findings support the validity of the D:A:D risk scoring method for assessing CKD (stages 3–5) probability in an exclusively USA‐based sample regardless of eGFR method.