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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

Overview
Journal HIV Med
Publisher Wiley
Date 2020 Jan 28
PMID 31985887
Citations 4
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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 (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.

Citing Articles

Incidence of impaired kidney function among people with HIV: a systematic review and meta-analysis.

Shi R, Chen X, Lin H, Ding Y, He N BMC Nephrol. 2022; 23(1):107.

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Risk of chronic kidney disease in people living with HIV by tenofovir disoproxil fumarate (TDF) use and baseline D:A:D chronic kidney disease risk score.

Hsu R, Brunet L, Fusco J, Beyer A, Prajapati G, Wyatt C HIV Med. 2020; 22(5):325-333.

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Validation of the D:A:D chronic kidney disease risk score in people living with HIV: the IeDEA West Africa Cohort Collaboration.

Poda A, Kabore N, Malateste K, de Rekeneire N, Semde A, Bikinga Y HIV Med. 2020; 22(2):113-121.

PMID: 33145918 PMC: 8593822. DOI: 10.1111/hiv.12982.


Validation of the D: A: D Chronic Kidney Disease Risk Score Model Among People Living With HIV in the Asia-Pacific.

Han W, Bijker R, Chandrasekaran E, Pujari S, Ng O, Ly P J Acquir Immune Defic Syndr. 2020; 85(4):489-497.

PMID: 33136750 PMC: 8018533. DOI: 10.1097/QAI.0000000000002464.

References
1.
Bhatti A, Usman M, Kandi V . Current Scenario of HIV/AIDS, Treatment Options, and Major Challenges with Compliance to Antiretroviral Therapy. Cureus. 2016; 8(3):e515. PMC: 4818110. DOI: 10.7759/cureus.515. View

2.
Friis-Moller N, Weber R, Reiss P, Thiebaut R, Kirk O, Monforte A . Cardiovascular disease risk factors in HIV patients--association with antiretroviral therapy. Results from the DAD study. AIDS. 2003; 17(8):1179-93. DOI: 10.1097/01.aids.0000060358.78202.c1. View

3.
Ekrikpo U, Kengne A, Bello A, Effa E, Noubiap J, Salako B . Chronic kidney disease in the global adult HIV-infected population: A systematic review and meta-analysis. PLoS One. 2018; 13(4):e0195443. PMC: 5901989. DOI: 10.1371/journal.pone.0195443. View

4.
Althoff K, McGinnis K, Wyatt C, Freiberg M, Gilbert C, Oursler K . Comparison of risk and age at diagnosis of myocardial infarction, end-stage renal disease, and non-AIDS-defining cancer in HIV-infected versus uninfected adults. Clin Infect Dis. 2014; 60(4):627-38. PMC: 4318916. DOI: 10.1093/cid/ciu869. View

5.
Szummer K, Evans M, Carrero J, Alehagen U, Dahlstrom U, Benson L . Comparison of the Chronic Kidney Disease Epidemiology Collaboration, the Modification of Diet in Renal Disease study and the Cockcroft-Gault equation in patients with heart failure. Open Heart. 2017; 4(2):e000568. PMC: 5515135. DOI: 10.1136/openhrt-2016-000568. View