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AIDS Care
Psychological and Socio-medical Aspects of AIDS/HIV
Volume 35, 2023 - Issue 8
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Research Article

Management of infection among Medicare beneficiaries with HIV/AIDS: risk of diabetes with protease inhibitors and associated racial disparities using big data approach

, , , , , & show all
Pages 1116-1124 | Received 27 Jul 2020, Accepted 18 Oct 2020, Published online: 11 Nov 2020
 

ABSTRACT

Association between protease inhibitors (PI) and Type II diabetes mellitus (T2DM) in human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) patients is largely debated. This study examined the odds of developing T2DM among HIV/AIDS Medicare beneficiaries treated with PI and possible racial disparities in the odds. We performed a nested casecontrol study of Medicare database 2013–2017. We included HIV/AIDS positive beneficiaries who were enrolled continuously in Medicare Part A/B with no previous history of T2DM. PI-users were matched to non-PI users and non-anti-retroviral therapies (ART) users using a1:1 greedy propensity score (PS) matching . Multivariablee logistic regressions were performed to assess the odds of developing T2DM. The analysis included 2,353 HIV/AIDS beneficiaries. Matched samples were generated for PI vs. non-PI groups (n = 484) and PI vs. non-ART groups (n = 490). Compared to the non-PI group, the odds of developing T2DM were higher in PI-users (AOR: 1.76; 95% CI: 1.17–2.64), in Caucasian PI-users (AOR: 1.81; 95% CI: 1.02–3.22) and in African-American PI-users (AOR: 1.86; 95% CI: 1.03–3.36). Compared to the non-ART group, the odds of developing T2DM were higher in PI-users (AOR: 1.87; 95% CI: 1.25–2.81), in Caucasian PI-users (AOR: 1.96; 95% CI: 1.14–3.39) and in African-American PI-users (AOR: 2.05; 95% CI: 1.03–4.09). The use of PI is associated with higher odds of T2DM; odds were higher among African-Americans than Caucasians.

Acknowledgement

Work on this article was supported in part by SPARC Research Grant, University of South Carolina.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by SPARC Research Grant, University of South Carolina.
This article is part of the following collections:
Harnessing Big Data to End HIV

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