30
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Symptomatic Illness and Low CD4 Cell Count at HIV Seroconversion as Markers of Severe Primary HIV Infection

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The risk/benefit of initiating ART in primary HIV infection (PHI) is unclear. The benefits are more likely to outweigh the risks in patients with severe PHI. An accepted definition of severe PHI is, however, lacking.

          Methods

          CASCADE patients with HIV test interval <6 months were classified as severe and non-severe PHI based on whether the following traits were recorded in the first 6 months following seroconversion: severe specific pre-defined symptoms, central nervous system-implicated illness, and ≥1, ≥2 CD4<350 (and <500) cells/mm 3. For each definition, we used Kaplan-Meier curves and Cox survival models to compare time to AIDS/death, censoring at the earlier of last clinic visit or 1/1/1997, when combination antiretroviral therapy (cART) became available.

          Results

          Among 1108 included patients mostly males (85%) infected through sex between men (71%), 366 were diagnosed with AIDS/died. The risk of AIDS/death was significantly higher for individuals with severe symptoms, those with ≥1 CD4<350 cells/mm 3 or ≥2 CD4 <500 cells/mm 3 in the first 6 months [aHR (95% confidence interval) 2.1 (1.4,3.2), 2.0 (1.5,2.7), and 2.3, (1.5–3.5) respectively]. Median [interquantile range] survival for patients with ≥2, ≥1 and no CD4<350 cells/mm 3 within 6 months of seroconversion was 3.9 [2.7,6.5], 5.4 [4.5,8.4] and 8.1 [4.3,10.3] years, respectively. The diagnosis of CNS-implicated symptoms was rare and did not appear to be prognostic.

          Conclusion

          One CD4 count <350 or two <500 cells/mm 3 within 6 months of seroconversion and/or severe illness in PHI may be useful early indicators of individuals at high risk of disease progression.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

          Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The use of fractional polynomials to model continuous risk variables in epidemiology.

            The traditional method of analysing continuous or ordinal risk factors by categorization or linear models may be improved. We propose an approach based on transformation and fractional polynomials which yields simple regression models with interpretable curves. We suggest a way of presenting the results from such models which involves tabulating the risks estimated from the model at convenient values of the risk factor. We discuss how to incorporate several continuous risk and confounding variables within a single model. The approach is exemplified with data from the Whitehall I study of British Civil Servants. We discuss the approach in relation to categorization and non-parametric regression models. We show that non-linear risk models fit the data better than linear models. We discuss the difficulties introduced by categorization and the advantages of the new approach. Our approach based on fractional polynomials should be considered as an important alternative to the traditional approaches for the analysis of continuous variables in epidemiological studies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Plasma viral load and CD4+ lymphocytes as prognostic markers of HIV-1 infection.

              The rate of disease progression among persons infected with human immunodeficiency virus type 1 (HIV-1) varies widely, and the relative prognostic value of markers of disease activity has not been defined. To compare clinical, serologic, cellular, and virologic markers for their ability to predict progression to the acquired immunodeficiency syndrome (AIDS) and death during a 10-year period. Prospective, multicenter cohort study. Four university-based clinical centers participating in the Multicenter AIDS Cohort Study. 1604 men infected with HIV-1. The markers compared were oral candidiasis (thrush) or fever; serum neopterin levels; serum beta 2-microglobulin levels; number and percentage of CD3+, CD4+, and CD8+ lymphocytes; and plasma viral load, which was measured as the concentration of HIV-1 RNA found using a sensitive branched-DNA signal-amplification assay. Plasma viral load was the single best predictor of progression to AIDS and death, followed (in order of predictive strength) by CD4+ lymphocyte count and serum neopterin levels, serum beta 2-microglobulin levels, and thrush or fever. Plasma viral load discriminated risk at all levels of CD4+ lymphocyte counts and predicted their subsequent rate of decline. Five risk categories were defined by plasma HIV-1 RNA concentrations: 500 copies/mL or less, 501 to 3000 copies/mL, 3001 to 10000 copies/mL, 10001 to 30000 copies/mL, and more than 30000 copies/mL. Highly significant (P < 0.001) differences in the percentages of participants who progressed to AIDS within 6 years were seen in the five risk categories: 5.4%, 16.6%, 31.7%, 55.2%, and 80.0%, respectively. Highly significant (P < 0.001) differences in the percentages of participants who died of AIDS within 6 years were also seen in the five risk categories: 0.9%, 6.3%, 18.1%, 34.9%, and 69.5%, respectively. A regression tree incorporating both HIV-1 RNA measurements and CD4+ lymphocyte counts provided better discrimination of outcome than did either marker alone; use of both variables defined categories of risk for AIDS within 6 years that ranged from less than 2% to 98%. Plasma viral load strongly predicts the rate of decrease in CD4+ lymphocyte count and progression to AIDS and death, but the prognosis of HIV-infected persons is more accurately defined by combined measurement of plasma HIV-1 RNA and CD4+ lymphocytes.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                14 November 2013
                : 8
                : 11
                : e78642
                Affiliations
                [1 ]Instituto de Salud Carlos III, Madrid, Spain
                [2 ]Brighton and Sussex University Hospitals National Health Service Trust, Brighton, United Kingdom
                [3 ]University College of London, London, United Kingdom
                [4 ]University Division of Infectious Diseases, University Hospital of Siena, Siena, Italy
                [5 ]Université Paris Descartes, EA 3620, Paris, France
                [6 ]Perinatal Prevention of AIDS Initiative, Odessa, The Ukraine
                [7 ]Innsbruck Medical University, Innsbruck, Austria
                [8 ]Hospital Ramon y Cajal, Madrid, Spain
                [9 ]Edouard Herriot Hospital, Lyon, and Universite' de Lyon 1, Lyon, France
                [10 ]Inserm, CESP Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of HIV and STI Team, Le Kremlin-Bicetre, France
                [11 ]INSERM and UPMC Univ Paris 06, UMR S 943, Paris, France
                [12 ]MRC Clinical Trials Unit at University College London, London, United Kingdom
                University Hospital Zurich, Switzerland
                Author notes

                Competing Interests: KP has received an honorarium from Tibotec. AP has received fees for consultancy for Gilead Sciences, GSK Biologicals, KP 360; speaker fees from Gilead; funds for research from BMS; Advisory Board membership with Abbvie. JG has received fees for consulting from Gilead Sciences, Bristol Myers Squibb, Merck Sharp Dohme Chibret, Janssen, Merck Sharp Dohme Chibret and Viiv. PV has received consultancy from consulting for Sanofi Pasteur. AdL has received fees for consulting from Gilead, Jansen, Siemens diagnostics, Abbott Virology and ViiV Healthcare. MF has received honoraria, speaker fees, or funding to attend conferences from: AbbVie, Bristol Myers Squibb, Gilead, Janssen, Merck, and Viiv. No other competing interests to declare. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: SL MF KP. Wrote the paper: SL KP. Analysis and interpretation: SL MF AP ADL JG RM RZ SM PV FB MG KP. Obtained funding: KP. Statistical analyses: SL.

                ¶ Membership of the CASCADE Collaboration is provided in the Acknowledgments.

                Article
                PONE-D-13-26644
                10.1371/journal.pone.0078642
                3828389
                24244330
                a2daf38c-93a7-4f82-a79b-4abe901e1837
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 June 2013
                : 20 September 2013
                Page count
                Pages: 8
                Funding
                The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under EuroCoord grant agreement no. 260694. Sara Lodi is holder of a Juan de la Cierva Fellowship (grant number JCI 2010-08151). There are no current external funding sources for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article