Literature DB >> 17828437

Estimates of opportunistic infection incidence or death within specific CD4 strata in HIV-infected patients in Abidjan, Côte d'Ivoire: impact of alternative methods of CD4 count modelling.

Sylvie Deuffic-Burban1, Elena Losina, Bingxia Wang, Delphine Gabillard, Eugène Messou, Nomita Divi, Kenneth A Freedberg, Xavier Anglaret, Yazdan Yazdanpanah.   

Abstract

CD4 lymphocyte count is an important surrogate marker of HIV disease progression, but it is often unavailable at the time of clinical events. We analysed data from the Cotrame cohort (1999-2004) and the Trivacan Structured Treatment Interruption trial (2002-2005) to estimate the incidence of opportunistic infections and death within specific CD4 strata in HIV-infected patients receiving highly active antiretroviral therapy (HAART) in sub-Saharan Africa. We used three methods of CD4 modelling: the first assumed that CD4 cell count remained constant until the next measurement; the second assumed that it changed immediately to the level of the subsequent measurement; and the third assumed that it followed a linear function between two consecutive CD4 measurements. The cohort used in this analysis consisted of 981 patients. The incidence rates of opportunistic infections were highest in the lower CD4 strata and decreased in the higher CD4 count strata. The incidence rates of mild opportunistic infections and severe bacterial infections, however, remained high in the highest CD4 stratum. Although all confidence intervals overlapped among the three methods, the incidence rate estimates showed differences of up to 74% in the lowest CD4 stratum. Different methods of estimating CD4 counts at the time of clinical events led to minor differences in incidence rates, except in the CD4 stratum <50 cells/mm(3), where the follow-up time was shorter. All of the models indicate that the overall incidence of opportunistic infections under HAART in sub-Saharan Africa is high. This suggests that prophylaxis against opportunistic infections may be needed even for patients receiving HAART.

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Year:  2007        PMID: 17828437      PMCID: PMC2365715          DOI: 10.1007/s10654-007-9175-5

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  21 in total

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Journal:  Ann Intern Med       Date:  1997-06-15       Impact factor: 25.391

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Journal:  Lancet       Date:  2006-06-17       Impact factor: 79.321

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Journal:  AIDS       Date:  2000-09-29       Impact factor: 4.177

9.  Impact of opportunistic diseases on chronic mortality in HIV-infected adults in Côte d'Ivoire.

Authors:  E Losina; X Anglaret; Y Yazdanpanah; B Wang; S Toure; G R Seage; T N'Dri-Yoman; R P Walensky; N Dakoury-Dogbo; S J Goldie; E Messou; M C Weinstein; S Deuffic-Burban; R Salamon; K A Freedberg
Journal:  S Afr Med J       Date:  2006-06

10.  Effect of co-trimoxazole prophylaxis on morbidity, mortality, CD4-cell count, and viral load in HIV infection in rural Uganda.

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Journal:  Lancet       Date:  2004 Oct 16-22       Impact factor: 79.321

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  9 in total

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Journal:  Eur J Epidemiol       Date:  2008       Impact factor: 8.082

2.  Incidence and determinants of new AIDS-defining illnesses after HAART initiation in a Senegalese cohort.

Authors:  Pierre De Beaudrap; Jean-François Etard; Assane Diouf; Ibrahima Ndiaye; Guèye Fatou N Ndèye; Papa S Sow; Kane Coumba T Ndèye; René Ecochard; Eric Delaporte
Journal:  BMC Infect Dis       Date:  2010-06-19       Impact factor: 3.090

3.  HIV/AIDS Clinical Manifestations and their Implication for Patient Clinical Staging in Resource Limited Settings in Tanzania.

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Journal:  Open AIDS J       Date:  2011-03-07

4.  Antiretroviral treatment cohort analysis using time-updated CD4 counts: assessment of bias with different analytic methods.

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5.  Differences in HIV natural history among African and non-African seroconverters in Europe and seroconverters in sub-Saharan Africa.

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Journal:  PLoS One       Date:  2012-03-06       Impact factor: 3.240

6.  Morbidity and mortality according to latest CD4+ cell count among HIV positive individuals in South Africa who enrolled in project Phidisa.

Authors:  Patrick H Maduna; Matt Dolan; Lwando Kondlo; Honey Mabuza; Judith N Dlamini; Mike Polis; Thabo Mnisi; Susan Orsega; Patrick Maja; Lotty Ledwaba; Thuthukile Molefe; Phumelele Sangweni; Lisette Malan; Gugu Matchaba; Paul Khabo; Greg Grandits; James D Neaton
Journal:  PLoS One       Date:  2015-04-09       Impact factor: 3.240

7.  Clinical and Epidemiological Characteristics of HIV Infection/AIDS in Hospitalized Patients.

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Journal:  Mater Sociomed       Date:  2015-02-21

8.  The CD4 Lymphocyte Count is a Better Predictor of Overall Infection Than the Total Lymphocyte Count in ANCA-Associated Vasculitis Under a Corticosteroid and Cyclophosphamide Regimen: A Retrospective Cohort.

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Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

9.  Cost-Effectiveness of Improving Health Care to People with HIV in Nicaragua.

Authors:  Edward Broughton; Danilo Nunez; Indira Moreno
Journal:  Nurs Res Pract       Date:  2014-05-25
  9 in total

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