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Epidemiological profile of individuals diagnosed with HIV

Results from the preliminary phase of case-based surveillance in Kenya

Bibliographic Data

ID19438749
AuthorsRichelle Harklerode (0000-0001-7166-2325, Global Health Sciences, University of California San Francisco, San Francisco, CA, USA, corresponding author), Wanjiru Waruiru (0000-0002-8355-8004, Global Programs for Research and Training, University of California San Francisco, Nairobi, Kenya), Felix Humwa (0000-0003-2012-0731, Global Programs for Research and Training, University of California San Francisco, Nairobi, Kenya), Anthony Waruru (0000-0002-4281-6345, Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya), Timothy A Kellogg (0000-0003-0142-6508, Global Health Sciences, University of California San Francisco, San Francisco, CA, USA), Lilly Muthoni (National AIDS and STI Control Program, Ministry of Health, Nairobi, Kenya), James Macharia (Global Programs for Research and Training, University of California San Francisco, Nairobi, Kenya), Emily Zielinski-Gutiérrez (0000-0002-8412-0979, Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya)
Year2020
Volume32
Issue1
Pages43-49
Publication date2020-01-02
Open AccessNo
TypeARTICLE
VenueAIDS Care (JOURNAL)
Journal identifiersISSN: 0954-0121 • E-ISSN: 1360-0451
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09540121.2019.1612021
PMID31032628
OpenAlexW2942273470
LanguageEN
Citations received1
References cited19

Understanding the characteristics of individuals who are newly diagnosed with HIV is critical to controlling the HIV epidemic. Characterizing this population can improve strategies to identify undiagnosed positives and assist in targeting the provision of HIV services to improve health outcomes. We describe the characteristics of newly diagnosed HIV cases in western Kenya from 124 health facilities. The study cohort cases were matched to prevent duplication and patients newly diagnosed between January and June 2015 were identified and descriptive analysis performed. Among 8664 newly identified HIV cases, during the pilot timeframe, 3.1% (n=265) had retested for HIV after initial diagnosis. Linkage to care was recorded for approximately half (45.3%, n = 3930) and 28.0% (n = 2425) had a CD4 count available during the pilot timeframe. The median baseline CD4 count was 332 cells/mL (IQR: 156–544). Among the newly diagnosed age 15 years or older with a CD4 test, 53.0% (n = 1216) were diagnosed late, including 32.9% (n = 755) who had advanced HIV at diagnosis. Factors associated with late diagnosis included being male and in an age group older than 34 years. In western Kenya, continued efforts are needed in the area of testing to enhance early HIV diagnosis and epidemic control

Antiretroviral therapy · Cohort · Environmental health · Family medicine · HIV diagnosis · Population · Rochester Epidemiology Project · Viral load · HIV Research and Treatment · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Medicine · Epidemiology · Internal Medicine · Pediatrics

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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