Evidence map›Paper›PMID 38840507›Full record

ArticleHIV medicine2024

Clinical characteristics of women with HIV in the RESPOND cohort: A descriptive analysis and comparison to men.

J Hutchinson, B Neesgard, J Kowalska, K Grabmeier-Pfistershammer, M Johnson, K Kusejko, S De Wit, F Wit, C Mussini, A Castagna and 21 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in HIV medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

J HutchinsonThe Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-1936-3808
B NeesgardCHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
J KowalskaMedical University of Warsaw, Warsaw, Poland.
K Grabmeier-PfistershammerAustrian HIV Cohort Study (AHIVCOS), Department Of Dermatology, Medical University of Vienna, Vienna, Austria.
M JohnsonDepartment of Infectious Diseases and Hospital Epidemiology, Royal Free London NHS Foundation Trust, London, UK.
K KusejkoUniversity Hospital Zurich; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
S De WitSaint-Pierre University Hospital, Infectious Diseases Department, Université Libre de Bruxelles, Brussels, Belgium.
F WitAIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands.
C MussiniModena HIV Cohort, Università degli Studi di Modena, Modena, Italy.
A CastagnaSan Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milan, Italy.
M StecherUniversity Hospital Cologne, Cologne, Germany.
C PradierNice HIV Cohort, Université Côte d'Azur et Centre Hospitalier Universitaire, Nice, France.
P DomingoSant Pau and Santa Creu Hospital, Barcelona, Spain.
C CarlanderSwedish InfCareHIV, Karolinska University Hospital, Solna, Sweden.
J WasmuthUniversity Hospital Bonn, Bonn, Germany.
N ChkhartishviliGeorgian National AIDS Health Information System (AIDS HIS), Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia.
V UzdavinieneVilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
A HaberlMedical Center, Infectious Diseases Unit, Goethe-University Hospital, Frankfurt, Germany.
A d'Arminio MonforteItalian Cohort Naive Antiretrovirals (ICONA), Milan, Italy.
H GargesViiV Healthcare, RTP, Research Triangle Park, North Carolina, USA.
J GallantGilead Sciences, Foster City, California, USA.
M SaidEuropean AIDS Treatment Group (EATG), Division of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
B SchmiedAustrian HIV Cohort Study (AHIVCOS), Department Of Dermatology, Medical University of Vienna, Vienna, Austria.
M van der ValkAIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands.
D KonopnickiSaint-Pierre University Hospital, Infectious Diseases Department, Université Libre de Bruxelles, Brussels, Belgium.
N JaschinskiCHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
A MocroftCHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
L GreenbergCHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
F BurnsDepartment of Infectious Diseases and Hospital Epidemiology, Royal Free London NHS Foundation Trust, London, UK.
L RyomCHIP, Centre of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
K PetoumenosThe Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-7534-7154

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
NIAID NIH HHS U01 AI069907The International Cohort Consortium of Infectious Disease (RESPOND) is supported by The CHU St Pierre Brussels HIV Cohort, The Austrian HIV Cohort Study, The Australian HIV Observational Database, The AIDS Therapy Evaluation in the Netherlands National Observational HIV cohort, The EuroSIDA cohort, The Frankfurt HIV Cohort Study, The Georgian National AIDS Health Information System, The Nice HIV Cohort, The ICONA Foundation, The Modena HIV Cohort, The PISCIS Cohort Study, The Swiss HIV Cohort Study, The Swedish InfCare HIV Cohort, The Royal Free HIV Cohort Study, The San Raffaele Scientific Institute, The University Hospital Bonn HIV Cohort, The University of Cologne HIV Cohort, The Brighton HIV Cohort and The National Croatian HIV cohort. RESPOND is further financially supported by ViiV Healthcare, Merck Life Sciences, Gilead Sciences, Centre of Excellence for Health, Immunity and Infections (CHIP) and the AHOD cohort by grant No. U01-AI069907 from the U.S. National Institutes of Health, and GNT2023845 of the National Health and Medical Research Council, Australia.
6 · The paper itself

Abstract

backgroundWomen with HIV are globally underrepresented in clinical research. Existing studies often focus on reproductive outcomes, seldom focus on older women, and are often underpowered to assess sex/gender differences. We describe CD4, HIV viral load (VL), clinical characteristics, comorbidity burden, and use of antiretroviral therapy (ART) among women with HIV in the RESPOND study and compare them with those of the men in RESPOND.

methodsRESPOND is a prospective, multi-cohort collaboration including over 34 000 people with HIV from across Europe and Australia. Demographic and clinical characteristics, including CD4/VL, comorbidity burden, and ART are presented at baseline, defined as the latter of 1 January 2012 or enrolment into the local cohort, stratified by age and sex/gender. We further stratify men by reported mode of HIV acquisition, men who have sex with men (MSM) and non-MSM.

resultsWomen account for 26.0% (n = 9019) of the cohort, with a median age of 42.2 years (interquartile range [IQR] 34.7-49.1). The majority (59.3%) of women were white, followed by 30.3% Black. Most women (75.8%) had acquired HIV heterosexually and 15.9% via injecting drug use. Nearly half (44.8%) were receiving a boosted protease inhibitor, 31.4% a non-nucleoside reverse transcriptase inhibitor, and 7.8% an integrase strand transfer inhibitor. The baseline year was 2012 for 73.2% of women and >2019 for 4.2%. Median CD4 was 523 (IQR 350-722) cells/μl, and 73.6% of women had a VL <200 copies/mL. Among the ART-naïve population, women were more likely than MSM but less likely than non-MSM (p < 0.001) to have CD4 <200 cells/μL and less likely than both MSM and non-MSM (p < 0.001) to have VL ≥100 000 copies/mL. Women were also more likely to be free of comorbidity than were both MSM and non-MSM (p < 0.0001).

conclusionRESPOND women are diverse in age, ethnicity/race, CD4/VL, and comorbidity burden, with important differences relative to men. This work highlights the importance of stratification by sex/gender for future research that may help improve screening and management guidelines specifically for women with HIV.

Indexed as

HIV InfectionsViral LoadAdultAnti-HIV AgentsAnti-Retroviral AgentsAustraliaCD4 Lymphocyte CountComorbidityEuropeFemaleHumansMaleMiddle AgedProspective StudiesSex FactorsAnti-HIV AgentsAnti-Retroviral Agentsantiretroviral therapy (ART)comorbidityHIVRESPONDwomen

Identifiers

PMID38840507
PMCPMC11563927

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