6 research outputs found

    An exploratory study to characterize the HIV testing-to-care continuum to improve outcomes for Black and Latinx residents of South Los Angeles

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    BackgroundSouth Los Angeles (SPA6), with mostly Black (27.4%) and Latinx (68.2%) residents, has the second highest rates of new HIV diagnoses (31 per 100,000) in Los Angeles County. However, there is limited understanding of the HIV testing-to-care continuum among newly diagnosed in this setting.MethodsWe conducted an exploratory study that analyzed de-identified data, including demographic characteristics and biomedical outcomes, from the electronic medical records of individuals newly diagnosed with HIV from 2016-2020 at the only public safety-net, county-run health department HIV clinic in SPA 6. We used Pearson Chi-square and Fisher's Exact test to explore associations with HIV outcomes and a Kaplan-Meier survival curve to assess the time to linkage to care.ResultsA total of 281 patients were identified. The majority (74.1%) presented with a baseline CD4 <500, many of which presented with a CD4<200 (39.2%). We found twice as many newly diagnosed Black individuals in our study population (48.2%) when compared to LAC (23%), despite only accounting for 27.4% of residents in SPA 6. The majority were linked to care within 30 days of positive test and prescribed anti-retroviral therapy. Viral suppression (59.8%) and undetectable VL (52.6%) were achieved within the year following diagnosis, with 9.3% lost to follow-up. Of those who became virally suppressed, 20.7% experienced viral rebound within the year following diagnosis.ConclusionThe large proportion of patients with a baseline CD4 <500 raises concerns about late diagnoses. Despite high rates of linkage to care and ART prescription, achievement of sustained viral suppression remains low with high rates of viral rebound. Longitudinal studies are needed to understand the barriers to early testing, retention in care, and treatment adherence to develop strategies and interventions with community organizations that respond to the unique needs of people living with HIV in South Los Angeles

    Correlates of Perinatal Depression in HIV-Infected Women

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    Maternal perinatal depression (PND) may interfere with effective perinatal HIV care. In order to begin examining the prevalence and characteristics of PND in HIV-infected women, we analyzed data from the medical records of all HIV-infected women who had received perinatal care in the Maternal-Child and Adolescent Center for Infectious Diseases and Virology at LAC/USC Medical Center from 1997 through 2006. Data from 273 individual women (328 live births) were analyzed. Demographic, medical history, psychosocial, pregnancy-related, and HIV-related factors measured during the perinatal period were examined for an association with PND using multivariate logistic regression with generalized estimating equations to account for the within-subject correlation due to multiple births per mother. The overall prevalence of PND was 30.8%. Multivariate analysis showed that PND was significantly associated with substance abuse during pregnancy (odds ratio [OR] = 2.81, 95% confidence interval [CI]: 1.35–5.82) and past history of psychiatric illness (OR = 3.72, 95% CI: 2.06–6.71). Compared to mothers with CD4 nadir greater than 500 cells/mm3, mothers with a CD4 nadir during pregnancy ≤200 cells/mm3 were 3.1 times more likely to experience PND (OR = 3.01, 95% CI: 1.32–6.88). Women who had antiretroviral (ARV) medications adherence problems during pregnancy were more likely to experience PND than women who were adherent (OR = 2.14, 95% CI: 1.08–4.23). These preliminary results suggest that rates of PND among HIV-infected women are substantial. We conclude that pregnant HIV-infected women should be routinely screened for PND. Prospective studies examining the bio-psycho-social markers of PND in HIV-infected women are indicated

    Linkage to care.

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    Kaplan-Meier curve for the outcome linkage to care, as measured by the date of the first documented VL result in the EMR. Time in days is calculated from the date of the first positive HIV test. The curve shows the percent of patients that do not yet have a VL result at each time point.</p
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