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Substance use disorder (SUD), a common comorbidity among people with HIV (PWH), adversely affects HIV clinical outcomes and HIV-related comorbidities. However, less is known about the incidence of different chronic conditions, changes in overall comorbidity burden, and health care utilization by SUD status and patterns among PWH in Florida, an area disproportionately affected by the HIV epidemic. We used electronic health records (EHR) from a large southeastern US consortium, the OneFlorida + clinical research data network. We identified a cohort of PWH with 3 + years of EHRs after the first visit with HIV diagnosis. International Classification of Diseases (ICD) codes were used to identify SUD and comorbidity conditions listed in the Charlson comorbidity index (CCI). A total of 42,271 PWH were included (mean age 44.5, 52% Black, 45% female). The prevalence SUD among PWH was 45.1%. Having a SUD diagnosis among PWH was associated with a higher incidence for most of the conditions listed on the CCI and faster increase in CCI score overtime (rate ratio = 1.45, 95%CI 1.42, 1.49). SUD in PWH was associated with a higher mean number of any care visits (21.7 vs. 14.8) and more frequent emergency department (ED, 3.5 vs. 2.0) and inpatient (8.5 vs. 24.5) visits compared to those without SUD. SUD among PWH was associated with a higher comorbidity burden and more frequent ED and inpatient visits than PWH without a diagnosis of SUD. The high SUD prevalence and comorbidity burden call for improved SUD screening, treatment, and integrated care among PWH. [ABSTRACT FROM AUTHOR]

People living with HIV (PLWH) experience a higher rate of age-related comorbidities at younger ages. Understanding common comorbidities among PLWH and their relationship to one another could be significant in improving aging for PLWH. The goal of the present study is to identify the most common comorbidities among PLWH and the relationship between them using network analysis. We used abstracted electronic medical record (EMR) data of PLWH from the Florida Cohort study, a prospective cohort study conducted in eight cities in Florida, USA. We used International Classification of Diseases (10th revision, ICD-10) code to classify comorbidities and organ systems. Network analysis was conducted to determine the degree and betweenness centrality among comorbidities. We included 756 PLWH with an average age of 46.4 years (SD 11.3) in the analysis. Infectious diseases (A00–B99, 50.8%), mental and behavioural (F01–F99, 47.0%), endocrine, nutritional and metabolic (E00–E88, 45.2%), and circulatory (I00–I99, 39%) disorders were the most prevalent system comorbidities among PLWH. Hypertensive disorder (I10–I1635.8%), dyslipidaemia (E78, 25.7%) and major depressive disorder (F32–F33, 23.9%) were the most common non-infectious conditions affecting PLWH. Viral hepatitis (B15–B19, 17.1%) and syphilis (A15–A53, 12%) were the most common coinfections among PLWH. Hypertension, dyslipidaemia and major depressive disorder were the most central of the comorbidities among PLWH. Comorbidities among PLWH were most prevalent for chronic disease and mental illness. Targeting shared disease risk factors in addition to monitoring known pathological pathways may prevent comorbidities among PLWH. [ABSTRACT FROM AUTHOR]

The timeline followback (TLFB) takes more resources to collect than the Alcohol Use Disorder Identification Test (AUDIT-C). We assessed agreement of TLFB and AUDIT-C with the biomarker phosphatidylethanol (PEth) and compared changes in TLFB and PEth among persons with HIV (PWH) using secondary data from randomized trials. We calculated operating characteristics and agreement between TLFB (> 1 and > 2 average drinks/day), AUDIT-C ≥ 4 and PEth ≥ 20 among 275 men with HIV. Median age was 57 years, 80% were African-American; and 17% white. Sixty-eight percent had PEth ≥ 20, 46% reported > 2 average drinks/day on TLFB, 61% reported > 1 average drinks/day on TLFB, and 72% had an AUDIT-C ≥ 4. Relative to PEth, sensitivity for AUDIT-C ≥ 4 was 84% (kappa = 0.36), and for TLFB > 1 average drink/day was 76% (kappa = 0.44). Change in alcohol use appeared greater using TLFB measures than PEth. Strategies to robustly assess alcohol use in PWH may require both self-report and biomarkers. [ABSTRACT FROM AUTHOR]

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