Evidence map›Paper›PMID 39113038›Full record

ArticleAIDS research and therapy2024

Evaluation of mean corpuscular volume among anemic people with HIV in North America following ART initiation.

Raynell Lang, Sally B Coburn, M John Gill, Amy C Justice, Jennifer Grossman, Kelly A Gebo, Michael A Horberg, Angel M Mayor, Michael J Silverberg, Kathleen A McGinnis and 4 more

Abstract read
In one paragraph

Article in AIDS research and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Raynell LangDepartment of Medicine, University of Calgary, Calgary, AB, Canada. raynell.lang@ahs.ca.
Sally B CoburnDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD, USA.
M John GillDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Amy C JusticeSchools of Medicine and Public Health, Yale University, New Haven, CT, USA.
Jennifer GrossmanDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Kelly A GeboDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Michael A HorbergKaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA.
Angel M MayorRetrovirus Research Center, Internal Medicine Department, Universidad Central del Caribe, Bayamon, Puerto Rico.
Michael J SilverbergKaiser Permanente Northern California, Oakland, CA, USA.
Kathleen A McGinnisVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
Brenna HoganDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD, USA.
Richard D MooreDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Keri N AlthoffDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD, USA.
North American AIDS Cohort Collaboration on Research, Design (NA-ACCORD) of the International Epidemiologic Databases to Evaluate AIDS (IeDEA)

Funding

WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 1988 to 2026
$93.6M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Latesha Ellen Elopre · 1988 to 2026
$84.1M
STATISTICAL AND DATA MANAGEMENT CENTERU01AI038855 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 1996 to 2006
$78.1M
Studies of Ocular Complications of AIDS - Coordinating CenterU10EY008057 · NEI · JOHNS HOPKINS UNIVERSITY · PI VAN NATTA, MARK L · 1988 to 2012
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Statistical and Data Management Center for the AIDS Clinical Trials GroupU01AI068634 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUGHES, MICHAEL DAVID · 2006 to 2010
$71.9M
Intramural NIH HHS Z01 CP010176NCATS NIH HHS KL2 TR000421NCATS NIH HHS UL1 TR000083NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002378NCI NIH HHS N01 CP001004NEI NIH HHS K23 EY013707NEI NIH HHS U10 EY008052NEI NIH HHS U10 EY008057NEI NIH HHS U10 EY008067NHLBI NIH HHS U01 HL146192NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146194NHLBI NIH HHS U01 HL146201NHLBI NIH HHS U01 HL146202NHLBI NIH HHS U01 HL146203NHLBI NIH HHS U01 HL146204NHLBI NIH HHS U01 HL146205NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146240NHLBI NIH HHS U01 HL146241NHLBI NIH HHS U01 HL146242NHLBI NIH HHS U01 HL146245NIAAA NIH HHS R01 AA016893NIAAA NIH HHS U01 AA013566NIAAA NIH HHS U01 AA020790NIAID NIH HHS F31 AI124794NIAID NIH HHS K01 AI093197NIAID NIH HHS K01 AI131895NIAID NIH HHS K24 AI065298NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI036219NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI094189NIAID NIH HHS P30 AI110527NIAID NIH HHS R24 AI067039NIAID NIH HHS U01 AI038855NIAID NIH HHS U01 AI038858NIAID NIH HHS U01 AI068634NIAID NIH HHS U01 AI068636NIAID NIH HHS U01 AI069432NIAID NIH HHS U01 AI069434NIAID NIH HHS U01 AI069918NIA NIH HHS R01 AG053100NIDA NIH HHS F31 DA037788NIDA NIH HHS K24 DA000432NIDA NIH HHS R01 DA011602NIDA NIH HHS R01 DA012568NIDA NIH HHS R34 DA045592NIDA NIH HHS U01 DA036297NIDA NIH HHS U01 DA036935NIGMS NIH HHS U54 GM133807NIH HHS U01AI069918NIMHD NIH HHS G12 MD007583NIMH NIH HHS P30 MH062246
6 · The paper itself

Abstract

backgroundAnemia is common and associated with increased morbidity among people with HIV (PWH). Classification of anemia using the mean corpuscular volume (MCV) can help investigate the underlying causative factors of anemia. We characterize anemia using MCV among PWH receiving antiretroviral therapy (ART), and identify the risk factors for normocytic, macrocytic, and microcytic anemias.

methodsIncluding PWH with anemia (hemoglobin measure < 12.9 g/dL among men and < 11.9 g/dL among women) in the NA-ACCORD from 01/01/2007 to 12/31/2017, we estimated the annual distribution of normocytic (80-100 femtolitre (fL)), macrocytic (> 100 fL) or microcytic (< 80 fL) anemia based on the lowest hemoglobin within each year. Poisson regression models with robust variance and general estimating equations were used to estimate crude and adjusted prevalence ratios and 95% confidence intervals for risk factors for macrocytic (vs. normocytic) and microcytic (vs. normocytic) anemia stratified by sex.

resultsAmong 37,984 hemoglobin measurements that identified anemia in 14,590 PWH, 27,909 (74%) were normocytic, 4257 (11%) were microcytic, and 5818 (15%) were macrocytic. Of the anemic PWH included over the study period, 1910 (13%) experienced at least one measure of microcytic anemia and 3208 (22%) at least one measure of macrocytic anemia. Normocytic anemia was most common among both males and females, followed by microcytic among females and macrocytic among males. Over time, the proportion of anemic PWH who have macrocytosis decreased while microcytosis increased. Macrocytic (vs. normocytic) anemia is associated with increasing age and comorbidities. With increasing age, microcytic anemia decreased among females but not males. A greater proportion of PWH with normocytic anemia had CD4 counts

conclusionIn anemic PWH, normocytic anemia was most common. Over time macrocytic anemia decreased, and microcytic anemia increased irrespective of sex. Normocytic anemia is often due to chronic disease and may explain the greater risk for normocytic anemia among those with lower CD4 counts or recent ART initiation. Identified risk factors for type-specific anemias including sex, age, comorbidities, and HIV factors, can help inform targeted investigation into the underlying causes.

Indexed as

AnemiaErythrocyte IndicesHIV InfectionsAdultAnti-HIV AgentsCD4 Lymphocyte CountFemaleHemoglobinsHumansMaleMiddle AgedNorth AmericaPrevalenceRisk FactorsAnti-HIV AgentsHemoglobinsAnemiaHemoglobinHIVMean corpuscular volumeNA-ACCORD

Identifiers

PMID39113038
PMCPMC11304803

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