Dhanushi Rupasinghe, Loveleen Bansi-Matharu, Matthew Law, Robert Zangerle, Andri Rauch, Philip E Tarr, Lauren Greenberg, Bastian Neesgaard, Nadine Jaschinski, Stéphane De Wit, Ferdinand Wit, Antonella d'Arminio Monforte, Eric Fontas, Antonella Castagna, Melanie Stecher, Vanessa Brandes, Eric Florence, Josip Begovac, Cristina Mussini, Anders Sönnerborg, Akaki Abutidze, Ana Groh, Vani Vannappagari, Cal Cohen, Lital Young, Sean Hosein, Lene Ryom, Kathy Petoumenos
{"title":"Integrase strand transfer inhibitor (INSTI) related changes in BMI and risk of diabetes: a prospective study from the RESPOND cohort consortium.","authors":"Dhanushi Rupasinghe, Loveleen Bansi-Matharu, Matthew Law, Robert Zangerle, Andri Rauch, Philip E Tarr, Lauren Greenberg, Bastian Neesgaard, Nadine Jaschinski, Stéphane De Wit, Ferdinand Wit, Antonella d'Arminio Monforte, Eric Fontas, Antonella Castagna, Melanie Stecher, Vanessa Brandes, Eric Florence, Josip Begovac, Cristina Mussini, Anders Sönnerborg, Akaki Abutidze, Ana Groh, Vani Vannappagari, Cal Cohen, Lital Young, Sean Hosein, Lene Ryom, Kathy Petoumenos","doi":"10.1093/cid/ciae406","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":10463,"journal":{"name":"Clinical Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":8.2000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/cid/ciae406","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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: 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: 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: 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.
期刊介绍:
Clinical Infectious Diseases (CID) is dedicated to publishing original research, reviews, guidelines, and perspectives with the potential to reshape clinical practice, providing clinicians with valuable insights for patient care. CID comprehensively addresses the clinical presentation, diagnosis, treatment, and prevention of a wide spectrum of infectious diseases. The journal places a high priority on the assessment of current and innovative treatments, microbiology, immunology, and policies, ensuring relevance to patient care in its commitment to advancing the field of infectious diseases.