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AIDS. 2019 Aug 22. doi: 10.1097/QAD.0000000000002349. [Epub ahead of print]

Non-AIDS comorbidity burden differs by sex, race, and insurance type in aging adults in HIV care.

Author information

1
Northwestern University Feinberg School of Medicine, Chicago, IL, US.
2
Cerner Corporation, Kansas City, MO, US.
3
Temple University School of Medicine, Philadelphia, PA, US.
4
Infectious Disease Research Institute, Inc., Tampa, FL, US.
5
University of Illinois at Chicago, Chicago, IL, US.
6
Colorado School of Mines, Golden, Colorado, US.
7
Dupont Circle Physicians Group, Washington, DC, US.
8
U.S. Centers for Disease Control and Prevention, Atlanta, GA, US.

Abstract

OBJECTIVE:

To understand the epidemiology of non-AIDS-related chronic comorbidities (NACMs) among aging persons with HIV (PWH) DESIGN:: Prospective multicenter observational study to assess, in an age stratified fashion, number and types of NACMs by demographic and HIV factors.

METHODS:

Eligible participants were seen during 1/1/1997 - 6/30/2015, followed >5.0 years, received antiretroviral therapy (ART), and virally suppressed [HIV viral load (VL) < 200 copies/mL ≥75% of observation time]. Age was stratified (18-40, 41-50, 51-60, ≥61 years). NACMs included cardiovascular disease, cancer, hypertension, diabetes, dyslipidemia, arthritis, viral hepatitis, anemia, and psychiatric illness.

RESULTS:

Of 1540 patients, 1247 (81%) were men, 406 (26%) non-Hispanic blacks (NHB), 183 (12%) Hispanics/Latinos, 575 (37%) with public insurance, 939 (61%) men who have sex with men (MSM), and 125 (8%) with injection drug use history. By age strata 18-40, 41-50, 51-60, ≥61 years, there were 180, 502, 560, and 298 patients, respectively. Median HIV Outpatient Study (HOPS) observation was 10.8 years (range: min-max = 5.0-18.5). Mean number of NACMs increased with older age category; 1.4, 2.1, 3.0, and 3.9, respectively (P < 0.001), as did prevalence of most NACMs (P < 0.001). Age-related differences NACM number were primarily due to anemia, hepatitis C virus infection, and diabetes. Differences (all P < 0.05) in NACM number existed by sex (women >men, 3.9 vs 3.4), race/ethnicity (NHB >non-NHB, 3.8 vs 3.4), and insurance status (public >private, 4.3 vs 3.1).

CONCLUSIONS:

Age-related increases existed in prevalence and number of NACMs, with disproportionate burden among women, NHBs, and the publicly insured. These groups should be targeted for screening and prevention strategies aimed at NACM reduction.

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