ArticleAIDS (London, England)2018
Predicting diabetes risk among HIV-positive and HIV-negative women.
Article in AIDS (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Understanding barriers and facilitators to integrated HIV and hypertension care in South Africa.Implementation science communications · 2024Article
- Plasma Biomarkers of Alzheimer Disease in Women With and Without HIV.JAMA network open · 2023Article
- Body Mass Index and Leptin Are Related to Cognitive Performance Over 10 Years in Women With and Without HIV Infection.The Journal of clinical endocrinology and metabolism · 2022Observational
- Expanding the Finnish Diabetes Risk Score for Predicting Diabetes Incidence in People Living with HIV.AIDS research and human retroviruses · 2021Article
- Prevalence of obesity and disturbances in glucose homeostasis in HIV-infected subjects and general population - missed diagnoses of diabetes?HIV medicine · 2021Article
- Risk Prediction in People Living With Human Immunodeficiency Virus: Are We Hitting the Target?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
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Authors and funding
18 authors.
Funding
Abstract
objectiveTo assess the performance of an adapted American Diabetes Association (ADA) risk score and the concise Finnish Diabetes Risk Score (FINRISC) for predicting type 2 diabetes development in women with and at risk of HIV infection.
designLongitudinal analysis of the Women's Interagency HIV Study.
methodsThe women's Interagency HIV Study is an ongoing prospective cohort study of women with and at risk for HIV infection. Women without prevalent diabetes and 3-year data on fasting blood glucose, hemoglobin A1c, self-reported diabetes medication use, and self-reported diabetes were included. ADA and FINRISC scores were computed at baseline and their ability to predict diabetes development within 3 years was assessed [sensitivity, specificity and area under the receiver operating characteristics (AUROC) curve].
resultsA total of 1111 HIV-positive (median age 41, 60% African American) and 454 HIV-negative women (median age 38, 63% African-American) were included. ADA sensitivity did not differ between HIV-positive (77%) and HIV-negative women (81%), while specificity was better in HIV-negative women (42 vs. 49%, P = 0.006). Overall ADA discrimination was suboptimal in both HIV-positive [AUROC = 0.64 (95% CI: 0.58, 0.70)] and HIV-negative women [AUROC = 0.67 (95% CI: 0.57, 0.77)]. FINRISC sensitivity and specificity did not differ between HIV-positive (72 and 49%, respectively) and HIV-negative women (86 and 52%, respectively). Overall FINRISC discrimination was suboptimal in HIV-positive [AUROC = 0.68 (95% CI: 0.62, 0.75)] and HIV-negative women [AUROC = 0.78 (95% CI: 0.66, 0.90)].
conclusionModel performance was suboptimal in women with and at risk of HIV, while greater misclassification was generally observed among HIV-positive women. HIV-specific risk factors known to contribute to diabetes risk should be explored in these models.
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