Integrase strand transfer inhibitor (INSTI) related changes in BMI and risk of diabetes: a prospective study from the RESPOND cohort consortium.

BMI INSTI use people living with HIV weight gain

Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
09 Aug 2024
Historique:
received: 03 04 2024
revised: 20 06 2024
accepted: 07 08 2024
medline: 9 8 2024
pubmed: 9 8 2024
entrez: 8 8 2024
Statut: aheadofprint

Résumé

With integrase strand transfer inhibitor (INSTI) use associated with increased body mass index (BMI) and BMI increases associated with higher diabetes mellitus (DM) risk, this study explored the relationship between INSTI/non-INSTI regimens, BMI changes, and DM risk. RESPOND participants were included if they had CD4, HIV RNA, and ≥ 2 BMI measurements during follow up. Those with prior DM were excluded. DM was defined as a random blood glucose ≥ 11·1 mmol/L, HbA1c ≥ 6·5%/48 mmol/mol, use of antidiabetic medication, or site reported clinical diagnosis. Poisson regression assessed the association between natural log (ln) of time-updated BMI, current INSTI/non-INSTI, and their interactions, on DM risk. Among 20,865 people with HIV included, most were male (74%) and White (73%). Baseline median age was 45 years (IQR 37-52), with a median BMI of 24 kg/m2 (IQR 22-26). There were 785 DM diagnoses with a crude rate of 0·73 (95%CI 0·68-0·78)/100 PYFU. Ln(BMI) was strongly associated with DM (adjusted incidence rate ratio (aIRR) 16·54 per log increase, 95%CI 11·33-24·13; p<0·001). Current INSTI use associated with increased DM risk (IRR 1·58, 95%CI 1·37-1·82; p<0·001) in univariate analyses, only partially attenuated when adjusted for variables including ln(BMI) (aIRR 1·48, 95%CI 1·29-1·71; p<0·001). There was no interaction between ln(BMI), INSTI and non-INSTI use, and DM (p=0·130). In RESPOND, compared with non-INSTIs, current use of INSTIs was associated with an increased DM risk, which partially attenuated when adjusted for BMI changes and other variables.

Sections du résumé

BACKGROUND BACKGROUND
With integrase strand transfer inhibitor (INSTI) use associated with increased body mass index (BMI) and BMI increases associated with higher diabetes mellitus (DM) risk, this study explored the relationship between INSTI/non-INSTI regimens, BMI changes, and DM risk.
METHODS METHODS
RESPOND participants were included if they had CD4, HIV RNA, and ≥ 2 BMI measurements during follow up. Those with prior DM were excluded. DM was defined as a random blood glucose ≥ 11·1 mmol/L, HbA1c ≥ 6·5%/48 mmol/mol, use of antidiabetic medication, or site reported clinical diagnosis. Poisson regression assessed the association between natural log (ln) of time-updated BMI, current INSTI/non-INSTI, and their interactions, on DM risk.
RESULTS RESULTS
Among 20,865 people with HIV included, most were male (74%) and White (73%). Baseline median age was 45 years (IQR 37-52), with a median BMI of 24 kg/m2 (IQR 22-26). There were 785 DM diagnoses with a crude rate of 0·73 (95%CI 0·68-0·78)/100 PYFU. Ln(BMI) was strongly associated with DM (adjusted incidence rate ratio (aIRR) 16·54 per log increase, 95%CI 11·33-24·13; p<0·001). Current INSTI use associated with increased DM risk (IRR 1·58, 95%CI 1·37-1·82; p<0·001) in univariate analyses, only partially attenuated when adjusted for variables including ln(BMI) (aIRR 1·48, 95%CI 1·29-1·71; p<0·001). There was no interaction between ln(BMI), INSTI and non-INSTI use, and DM (p=0·130).
CONCLUSIONS CONCLUSIONS
In RESPOND, compared with non-INSTIs, current use of INSTIs was associated with an increased DM risk, which partially attenuated when adjusted for BMI changes and other variables.

Identifiants

pubmed: 39117341
pii: 7730213
doi: 10.1093/cid/ciae406
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

Auteurs

Dhanushi Rupasinghe (D)

The Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Australia.

Loveleen Bansi-Matharu (L)

Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK.

Matthew Law (M)

The Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Australia.

Robert Zangerle (R)

Austrian HIV Cohort Study (AHIVCOS), Medizinische Universität Innsbruck, Innsbruch, Austria.

Andri Rauch (A)

Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Philip E Tarr (PE)

Swiss HIV Cohort Study (SHCS), University Department of Medicine, Kantonsspital Baselland, University of Basel, Switzerland.

Lauren Greenberg (L)

Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, University College London, London, UK.

Bastian Neesgaard (B)

CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Nadine Jaschinski (N)

CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Stéphane De Wit (S)

CHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium.

Ferdinand Wit (F)

AIDS Therapy Evaluation in the Netherlands (ATHENA) cohort, HIV Monitoring Foundation, Amsterdam, the Netherlands.

Antonella d'Arminio Monforte (AD)

Italian Cohort Naive Antiretrovirals (ICONA), ASST Santi Paolo e Carlo, Milano, Italy.

Eric Fontas (E)

Nice HIV Cohort, Université Côte d'Azur et Centre Hospitalier Universitaire, Nice, France.

Antonella Castagna (A)

San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy.

Melanie Stecher (M)

University Hospital Cologne, Cologne, Germany.

Vanessa Brandes (V)

University Hospital Cologne, Cologne, Germany.

Eric Florence (E)

Institute of Tropical Medicine, Antwerp, Belgium.
University Hospital, Antwerp, Belgium.

Josip Begovac (J)

University Hospital for Infectious Diseases, Zagreb, Croatia.

Cristina Mussini (C)

Modena HIV Cohort, Università degli Studi di Modena, Modena, Italy.

Anders Sönnerborg (A)

Swedish InfCare HIV Cohort, Karolinska University Hospital.

Akaki Abutidze (A)

Georgian National AIDS Health Information System (AIDS HIS), Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia.

Ana Groh (A)

Frankfurt HIV Cohort Study, Johann Wolfgang Goethe-University Hospital, Frankfurt, Germany.

Vani Vannappagari (V)

ViiV Healthcare, RTP, North Carolina, USA.

Cal Cohen (C)

Gilead Sciences, Foster City, California.

Lital Young (L)

Merck & Co. (MSD), Whitehouse Station, United States.

Sean Hosein (S)

European AIDS Treatment Group (EATG).

Lene Ryom (L)

CHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Department of Infectious Diseases, Hvidovre University Hospital, Denmark.
Department of Clinical Medicine, University of Copenhagen, Denmark.

Kathy Petoumenos (K)

The Australian HIV Observational Database (AHOD), The Kirby Institute, UNSW Sydney, Australia.

Classifications MeSH