{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:24:13Z","timestamp":1790555053966,"version":"4.1.0"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T00:00:00Z","timestamp":1548720000000},"content-version":"vor","delay-in-days":28,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"International Epidemiology Databases to Evaluate AIDS","award":["U01AI069907"],"award-info":[{"award-number":["U01AI069907"]}]},{"DOI":"10.13039\/501100001027","name":"Australian Government Department of Health and Ageing","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001027","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Intern AIDS Soc"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Comorbidities including diabetes mellitus (<jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content>) among people living with <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">PLHIV<\/jats:styled-content>) are of increasing clinical concerns in combination antiretroviral therapy (<jats:styled-content style=\"fixed-case\">cART<\/jats:styled-content>) era. We aimed to determine the incidence and risk factors of new\u2010onset <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> among <jats:styled-content style=\"fixed-case\">PLHIV<\/jats:styled-content> in Asian settings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p><jats:styled-content style=\"fixed-case\">PLHIV<\/jats:styled-content> from a regional observational cohort without <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> prior to antiretroviral therapy (<jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content>) initiation were included in the analysis. <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> was defined as having a fasting blood glucose \u2265126\u00a0mg\/<jats:styled-content style=\"fixed-case\">dL<\/jats:styled-content>, glycated haemoglobin \u22656.5%, a two\u2010hour plasma glucose \u2265200\u00a0mg\/<jats:styled-content style=\"fixed-case\">dL<\/jats:styled-content>, or a random plasma glucose \u2265200\u00a0mg\/<jats:styled-content style=\"fixed-case\">dL<\/jats:styled-content>. A Cox regression model, stratified by site, was used to identify risk factors associated with DM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results and discussion<\/jats:title><jats:p>Of the 1927 participants included, 127 were diagnosed with <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> after <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> initiation. Median follow\u2010up time from <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> initiation to <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> diagnosis was 5.9\u00a0years (interquartile range (<jats:styled-content style=\"fixed-case\">IQR<\/jats:styled-content>): 2.8 to 8.9\u00a0years). The crude incidence rate of <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> was 1.08 per 100 person\u2010years (100\u00a0PYS), 95% confidence interval (<jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>) (0.9 to 1.3). In the multivariate analysis, later years of follow\u2010up (2011 to 2013: <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a02.34, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 1.14 to 4.79, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.02; and 2014 to 2017: <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a07.20, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 3.27 to 15.87, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001) compared to &lt;2010, older age (41 to 50\u00a0years: <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a02.46, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 1.39 to 4.36, <jats:italic>p<\/jats:italic> \u00a0=\u00a00.002; and &gt;50\u00a0years: <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a04.19, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 2.12 to 8.28, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001) compared to &lt;30\u00a0years, body mass index (<jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>) &gt;30\u00a0kg\/m<jats:sup>2<\/jats:sup> (<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a04.3, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 1.53 to 12.09, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.006) compared to <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> &lt;18.5\u00a0kg\/m<jats:sup>2<\/jats:sup>, and high blood pressure (<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a02.05, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 1.16 to 3.63, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.013) compared to those without high blood pressure, were associated with developing <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content>. The hazard was reduced for females (<jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\u00a0=\u00a00.47, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.28 to 0.80, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.006).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Type 2 <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> in <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010infected Asians was associated with later years of follow\u2010up, high blood pressure, obesity and older age. This highlights the importance of monitoring and routine screening for non\u2010communicable diseases including <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content> as <jats:styled-content style=\"fixed-case\">PLHIV<\/jats:styled-content> age.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jia2.25236","type":"journal-article","created":{"date-parts":[[2019,1,30]],"date-time":"2019-01-30T06:44:13Z","timestamp":1548830653000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Diabetes mellitus burden among people living with <scp>HIV<\/scp> from the Asia\u2010Pacific region"],"prefix":"10.1002","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3731-7960","authenticated-orcid":false,"given":"Win M","family":"Han","sequence":"first","affiliation":[{"name":"HIV\u2010NAT\/Thai Red Cross AIDS Research Centre Bangkok 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