PubMed · 10094017
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
J Bellm. 1999-03-13. Needle-exchange programmes are not the answer.. https://doi.org/10.1016/s0140-6736(05)75044-3
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
BACKGROUND: Estimating the time since HIV infection (TSI) at population level is essential for tracking changes in the global HIV epidemic. Most methods for determining TSI give a binary classification of infections as recent or non-recent within a window of several months, and cannot assess the cumulative impact of an intervention. RESULTS: We developed a Random Forest Regression model, HIV-phyloTSI, which combines measures of within-host diversity and divergence to generate continuous TSI estimates directly from viral deep-sequencing data, with no need for additional variables. HIV-phyloTSI provides a continuous measure of TSI up to 9 years, with a mean absolute error of less than 12 months overall and less than 5 months for infections with a TSI of up to a year. It performs equally well for all major HIV subtypes based on data from African and European cohorts. CONCLUSIONS: We demonstrate how HIV-phyloTSI can be used for incidence estimates on a population level.
In recent years, a spectrum of metabolic and morphologic alterations has emerged among patients infected with human immunodeficiency virus (HIV) receiving antiretroviral treatment. Changes observed include insulin resistance, dyslipidemia, abdominal and dorsocervical fat accumulation, and fat depletion in the extremities and in the face. The health consequences of these changes are not well understood but may include increased risk for diabetes, heart disease, and stroke. Therefore, clinicians that treat patients with HIV need current, practical information on management strategies and interventions for patients with manifestations of HIV-associated lipodystrophy. Literature is reviewed on the health consequences of insulin resistance, dyslipidemia, and alterations in body fat distribution in non-HIV populations to gain perspective on how such abnormalities might affect HIV-infected patients. We also suggest treatments and strategies to manage metabolic and morphologic changes in patients with HIV.
Explore the source record for details and available documents.