Publication: Diabetes, mortality and glucose monitoring rates in the TREAT Asia HIV Observational Database Low Intensity Transfer (TAHOD-LITE) study
dc.contributor.author | R. Bijker | en_US |
dc.contributor.author | N. Kumarasamy | en_US |
dc.contributor.author | S. Kiertiburanakul | en_US |
dc.contributor.author | S. Pujari | en_US |
dc.contributor.author | L. Penh Sun | en_US |
dc.contributor.author | O. T. Ng | en_US |
dc.contributor.author | M. P. Lee | en_US |
dc.contributor.author | J. Y. Choi | en_US |
dc.contributor.author | K. V. Nguyen | en_US |
dc.contributor.author | Y. J. Chan | en_US |
dc.contributor.author | T. P. Merati | en_US |
dc.contributor.author | C. D. Do | en_US |
dc.contributor.author | J. Ross | en_US |
dc.contributor.author | M. Law | en_US |
dc.contributor.author | P. S. Ly | en_US |
dc.contributor.author | V. Khol | en_US |
dc.contributor.author | P. C.K. Li | en_US |
dc.contributor.author | W. Lam | en_US |
dc.contributor.author | Y. T. Chan | en_US |
dc.contributor.author | S. Saghayam | en_US |
dc.contributor.author | C. Ezhilarasi | en_US |
dc.contributor.author | K. Joshi | en_US |
dc.contributor.author | S. Gaikwad | en_US |
dc.contributor.author | A. Chitalikar | en_US |
dc.contributor.author | D. N. Wirawan | en_US |
dc.contributor.author | F. Yuliana | en_US |
dc.contributor.author | P. L. Lim | en_US |
dc.contributor.author | L. S. Lee | en_US |
dc.contributor.author | Z. Ferdous | en_US |
dc.contributor.author | S. Na | en_US |
dc.contributor.author | J. M. Kim | en_US |
dc.contributor.author | W. W. Wong | en_US |
dc.contributor.author | W. W. Ku | en_US |
dc.contributor.author | P. C. Wu | en_US |
dc.contributor.author | A. V. Ngo | en_US |
dc.contributor.author | L. T. Nguyen | en_US |
dc.contributor.author | H. V. Bui | en_US |
dc.contributor.author | D. T.H. Nguyen | en_US |
dc.contributor.author | D. T. Nguyen | en_US |
dc.contributor.author | A. H. Sohn | en_US |
dc.contributor.author | J. L. Ross | en_US |
dc.contributor.author | B. Petersen | en_US |
dc.contributor.author | A. Jiamsakul | en_US |
dc.contributor.author | D. Rupasinghe | en_US |
dc.contributor.author | M. G. Law | en_US |
dc.contributor.other | The Voluntary Health Services, Chennai | en_US |
dc.contributor.other | Bach Mai Hospital | en_US |
dc.contributor.other | Universitas Udayana | en_US |
dc.contributor.other | Kirby Institute | en_US |
dc.contributor.other | Yonsei University College of Medicine | en_US |
dc.contributor.other | Faculty of Medicine, Ramathibodi Hospital, Mahidol University | en_US |
dc.contributor.other | Queen Elizabeth Hospital Hong Kong | en_US |
dc.contributor.other | Veterans General Hospital-Taipei | en_US |
dc.contributor.other | Tan Tock Seng Hospital | en_US |
dc.contributor.other | University of Health Sciences | en_US |
dc.contributor.other | National Hospital for Tropical Diseases | en_US |
dc.contributor.other | Foundation for AIDS Research | en_US |
dc.contributor.other | Institute of Infectious Diseases | en_US |
dc.date.accessioned | 2020-01-27T09:29:38Z | |
dc.date.available | 2020-01-27T09:29:38Z | |
dc.date.issued | 2019-10-01 | en_US |
dc.description.abstract | © 2019 British HIV Association Objectives: Diabetes is a growing cause of morbidity and mortality in people living with HIV (PLHIV) receiving antiretroviral therapy (ART). We investigated the association between fasting plasma glucose (FPG) levels and mortality, and factors associated with FPG monitoring rates in Asia. Methods: Patients from the Therapeutics Research, Education, and AIDS Training in Asia (TREAT Asia) HIV Observational Database Low Intensity Transfer (TAHOD-LITE) cohort were included in the present study if they had initiated ART. Competing risk and Poisson regression were used to analyse the association between FPG and mortality, and assess risk factors for FPG monitoring rates, respectively. FPG was categorized as diabetes (FPG ≥ 7.0 mmol/L), prediabetes (FPG 5.6–6.9 mmol/L) and normal FPG (FPG ' 5.6 mmol/L). Results: In total, 33 232 patients were included in the analysis. Throughout follow-up, 59% had no FPG test available. The incidence rate for diabetes was 13.7 per 1000 person-years in the 4649 patients with normal FPG at ART initiation. Prediabetes [sub-hazard ratio (sHR) 1.32; 95% confidence interval (CI) 1.07–1.64] and diabetes (sHR 1.90; 95% CI 1.52–2.38) were associated with mortality compared to those with normal FPG. FPG monitoring increased from 0.34 to 0.78 tests per person-year from 2012 to 2016 (P ' 0.001). Male sex [incidence rate ratio (IRR) 1.08; 95% CI 1.03–1.12], age ' 50 years (IRR 1.14; 95% CI 1.09–1.19) compared to ≤ 40 years, and CD4 count ≥ 500 cells/μL (IRR 1.04; 95% CI 1.00–1.09) compared to ' 200 cells/μL were associated with increased FPG monitoring. Conclusions: Diabetes and prediabetes were associated with mortality. FPG monitoring increased over time; however, less than half of our cohort had been tested. Greater resources should be allocated to FPG monitoring for early diabetic treatment and intervention and to optimize survival. | en_US |
dc.identifier.citation | HIV Medicine. Vol.20, No.9 (2019), 615-623 | en_US |
dc.identifier.doi | 10.1111/hiv.12779 | en_US |
dc.identifier.issn | 14681293 | en_US |
dc.identifier.issn | 14642662 | en_US |
dc.identifier.other | 2-s2.0-85069869768 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/51404 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069869768&origin=inward | en_US |
dc.subject | Medicine | en_US |
dc.title | Diabetes, mortality and glucose monitoring rates in the TREAT Asia HIV Observational Database Low Intensity Transfer (TAHOD-LITE) study | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069869768&origin=inward | en_US |