An Evaluation of Baseline Kidney Function in the REPRIEVE Trial of Pitavastatin in Human Immunodeficiency Virus.


Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
09 07 2020
Historique:
entrez: 10 7 2020
pubmed: 10 7 2020
medline: 11 3 2021
Statut: ppublish

Résumé

Chronic kidney disease is a common comorbid condition among persons living with human immunodeficiency virus (PWH). We characterized baseline kidney function in the REPRIEVE (Randomized Trial to Prevent Vascular Events in HIV) trial cohort. REPRIEVE enrolled PWH with low to moderate cardiovascular risk based on traditional risk factors to evaluate the effect of statin therapy on cardiovascular events. We determined baseline estimated glomerular filtration rate (eGFR) with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Modification of Diet in Renal Disease, and Cockcroft-Gault equations, and we evaluated baseline factors associated with eGFR <90 mL/min/1.73 m2 by logistic regression. We performed Bland-Altman plots and scatterplots to assess agreement between equations. Among 7770 participants enrolled, the median age was 50 years, 31% were female (natal sex), 43% black or African American and 15% Asian, the median body mass index (calculated as calculated as weight in kilograms divided by height in meters squared) was 25.8, and the median CD4 cell count 620/µL. The median CKD-EPI eGFR was 97 mL/min/1.73 m2, and 38% had an eGFR <90 mL/min/1.73 m2. In the adjusted model, factors associated with eGFR <90 mL/min/1.73 m2 included white race, older age, higher body mass index, high-income region of enrollment, hypertension, and tenofovir disoproxil fumarate. The CKD-EPI and Modification of Diet in Renal Disease equations demonstrated strong agreement, particularly at lower eGFR values. Overall, there was 56% concordance between the 3 equations (categories <60, 60 to <90, ≥90 mL/min), improving to 73% after accounting for individual body surface area. REPRIEVE enrolled a diverse cohort including a substantial number of PWH with reduced kidney function. Factors associated with reduced eGFR included traditional risk factors and tenofovir disoproxil fumarate exposure. Three commonly used equations have only fair agreement, with potential implications for both clinical care and epidemiologic studies. NCT02344290.

Sections du résumé

BACKGROUND
Chronic kidney disease is a common comorbid condition among persons living with human immunodeficiency virus (PWH). We characterized baseline kidney function in the REPRIEVE (Randomized Trial to Prevent Vascular Events in HIV) trial cohort.
METHODS
REPRIEVE enrolled PWH with low to moderate cardiovascular risk based on traditional risk factors to evaluate the effect of statin therapy on cardiovascular events. We determined baseline estimated glomerular filtration rate (eGFR) with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Modification of Diet in Renal Disease, and Cockcroft-Gault equations, and we evaluated baseline factors associated with eGFR <90 mL/min/1.73 m2 by logistic regression. We performed Bland-Altman plots and scatterplots to assess agreement between equations.
RESULTS
Among 7770 participants enrolled, the median age was 50 years, 31% were female (natal sex), 43% black or African American and 15% Asian, the median body mass index (calculated as calculated as weight in kilograms divided by height in meters squared) was 25.8, and the median CD4 cell count 620/µL. The median CKD-EPI eGFR was 97 mL/min/1.73 m2, and 38% had an eGFR <90 mL/min/1.73 m2. In the adjusted model, factors associated with eGFR <90 mL/min/1.73 m2 included white race, older age, higher body mass index, high-income region of enrollment, hypertension, and tenofovir disoproxil fumarate. The CKD-EPI and Modification of Diet in Renal Disease equations demonstrated strong agreement, particularly at lower eGFR values. Overall, there was 56% concordance between the 3 equations (categories <60, 60 to <90, ≥90 mL/min), improving to 73% after accounting for individual body surface area.
CONCLUSIONS
REPRIEVE enrolled a diverse cohort including a substantial number of PWH with reduced kidney function. Factors associated with reduced eGFR included traditional risk factors and tenofovir disoproxil fumarate exposure. Three commonly used equations have only fair agreement, with potential implications for both clinical care and epidemiologic studies.
CLINICAL TRIALS REGISTRATION
NCT02344290.

Identifiants

pubmed: 32645164
pii: 5869457
doi: 10.1093/infdis/jiaa222
pmc: PMC7347080
doi:

Substances chimiques

Quinolines 0
Tenofovir 99YXE507IL
pitavastatin M5681Q5F9P

Banques de données

ClinicalTrials.gov
['NCT02344290']

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

S41-S51

Subventions

Organisme : NIAID NIH HHS
ID : UM1 AI106701
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK040561
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI069463
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH083308
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068634
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI069453
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI069463
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL123336
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068636
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI069399
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL123339
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI069452
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK108438
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002384
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

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Auteurs

Edgar T Overton (ET)

Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA.

Amy Kantor (A)

Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Kathleen V Fitch (KV)

Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Paul Muntner (P)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Khuanchai Supparatpinyo (K)

HIV Treatment Clinical Research Site, Chiang Mai University, Chiang Mai, Thailand.

Mosepele Mosepele (M)

University of Botswana and Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana.

Lerato Mohapi (L)

Soweto Clinical Research Site, Chris Hani Baragwanath Hospital, Johannesburg, Gauteng, South Africa.

Sandra Wagner Cardoso (SW)

Fiocruz Therapeutic and Prevention HIV/AIDS Clinical Trials Unit, Rio de Janeiro, Brazil.

Sandesh Patil (S)

Byramjee Jeejeebhoy Government Medical College, Pune, Maharashtra, India.

Marcus V G de Lacerda (MVG)

Fundação de Medicina Tropical Doutor Heitor Viera Dourado, Manaus, Amazonas, Brazil.

Grace McComsey (G)

Division of Pediatric Infectious Diseases and Rheumatology, Case Western Reserve University, Cleveland, Ohio, USA.

Judith A Aberg (JA)

Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Pamela S Douglas (PS)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.

Steven K Grinspoon (SK)

Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Heather Ribaudo (H)

Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Christina M Wyatt (CM)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Division of Nephrology, Department of Medicine, Duke University, Durham, North Carolina, USA.

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