Abstract
IntroductionIncreased human immunodeficiency virus (HIV) virulence at infection has been suggested by a meta-analysis based on viral load and CD4 T lymphocytes (CD4) count during acute infection. This result was obtained after secondary analyses of large databases, facilitating the detection of differences. Similar finding in cohorts of more modest sample size would indicate that the effect could be more substantial.MethodsChange from initial CD4 count and HIV viral load after acute HIV infection by calendar year was explored in patients treated at Lyon University hospitals. All patients admitted to our hospitals with acute HIV infection between 1996 and 2013 were included in our study. Initial CD4 count and viral load before the start of anti-retroviral treatment were analyzed. Trends over time were assessed in linear models.ResultsInitial CD4 count remained similar over time. However, in 2006–2013, initial viral load rose significantly (+1.12 log10/ml/year, p = 0.01).ConclusionOur data, obtained from a single hospital cohort, confirmed findings from a large meta-analysis, showed increased initial viremia at acute HIV infection since 2006 and suggesting potentially higher HIV virulence in recent years.
Highlights
IntroductionEditor: Cristian Apetrei, University of Pittsburgh Center for Vaccine Research, UNITED STATES
OPEN ACCESSCitation: Girerd-Genessay I, Baratin D, Ferry T, Chidiac C, Ronin V, Vanhems P (2016) Higher human immunodeficiency virus (HIV) RNA Viral Load in Recent Patients with Symptomatic Acute HIV Infection in Lyon University Hospitals
In 2010 in France, the number of individuals infected by HIV rose to around 150,000 [1] but decreased to 9,000 and 7,000 new cases diagnosed between 2003 and 2008, respectively [2]
Summary
Editor: Cristian Apetrei, University of Pittsburgh Center for Vaccine Research, UNITED STATES. Increased human immunodeficiency virus (HIV) virulence at infection has been suggested by a meta-analysis based on viral load and CD4 T lymphocytes (CD4) count during acute infection. This result was obtained after secondary analyses of large databases, facilitating the detection of differences. Similar finding in cohorts of more modest sample size would indicate that the effect could be more substantial
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