Impact of HIV-1 Subtype on CD4 Count at HIV Seroconversion, Rate of Decline, and Viral Load Set Point in European Seroconverter Cohorts

Touloumi, Giota; Pantazis, Nikos; Pillay, Deenan; Paraskevis, Dimitrios; Chaix, Marie‐Laure; Bucher, Heiner C.; Kücherer, Claudia; Zangerle, Robert; Kran, Anne-Marte Bakken; Porter, Kholoud

doi:10.1093/cid/cis1000

Cited by 95 publications

(77 citation statements)

References 29 publications

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“…However, as the Department of STD, AIDS and Viral Hepatitis routinely links SISCEL to the National System of Notified HIV/AIDS cases [34], it is possible to obtain exposure category for at least 70% of the SISCEL cases, enabling the estimation of HIV incidence by exposure category with the use of imputation methods [35]. Moreover, any other information available in SISCEL related to the time since infection, such as viral load or patient's condition (symptomatic/asymptomatic) that could be used to refine our estimates [36,37] will be further investigated.…”

Section: Resultsmentioning

confidence: 99%

Results from a Method for Estimating HIV Incidence Based on the First Cd4 Count among Treatment-Naïve Cases: Brazil, 2004-2013

Szwarcwald¹,

Júnior²,

Pascom³

et al. 2016

J AIDS Clin Res

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Section: Resultsmentioning

confidence: 99%

Results from a Method for Estimating HIV Incidence Based on the First Cd4 Count among Treatment-Naïve Cases: Brazil, 2004-2013

Szwarcwald¹,

Júnior²,

Pascom³

et al. 2016

J AIDS Clin Res

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“…Several clinical studies have addressed the differences in disease progression between viral subtypes and outcomes. Toulomi et al 17 revealed that CD4 + T lymphocyte decline was significantly slower for subtype A and CRF02 and marginally slower for subtype C compared to subtype B. In addition, a previous study reported that subtype D is associated with faster disease progression, rapid CD4 + T cell decline, and a higher rate of treatment failure compared to subtypes A, B, and C 18 .…”

Section: Discussionmentioning

confidence: 97%

Profile of HIV subtypes in HIV/HBV- and HIV/HCV-coinfected patients in Southern Brazil

Avanzi

Vicente

Beloto

et al. 2017

Rev. Soc. Bras. Med. Trop.

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Introduction: HIV and viral hepatitis infections are major causes of chronic disease worldwide and have some similarities with regard to routes of transmission, epidemiology, front barriers faced during access of treatment, and strategies for a global public health response. The objective was to describe the HIV-1 subtypes, viral tropism and single-nucleotide polymorphisms (SNPs) of interleukin 28B (IL28B) from a case series of HIV/viral hepatitis coinfected patients from southern Brazil. Methods: Clinical and epidemiological data were evaluated by a review of medical records. Periodic blood draws were taken to determine the viral and host characteristics. Results: This study included 38 patients with HIV/HBV or HIV/HCV coinfection; the median age was 49 years. Thirty-seven (97.4%) were on antiretroviral therapy, 32 (84.2%) had an undetectable viral load, a median CD4 + T-cell count of 452 cells/mm 3 . HIV-1 subtyping showed 47.4 and 31.6% of patients with subtypes C and B, respectively. Analysis of viral co-receptor usage showed a predominance of the R5 variant (64.7%), with no significant difference between the subtypes. Twenty patients with HIV/HCV coinfection were eligible to receive HCV therapy with pegylated-interferon-alpha plus ribavirin, and 10/20 (50%) of them achieved sustained virological response. SNPs of IL28B were evaluated in 93.3% of patients with HIV/ HCV coinfection, and 17 (60.7%) presented the CC genotype. Conclusions: In the present case series, a higher frequency of HIV subtype C was found in coinfected patients. However such findings need to be prospectively evaluated with the inclusion of data from regional multicenter analyses.

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“…Starting from a uniform prior distribution for the seroconversion date over time at risk, we incorporated information from available CD4 cells counts and HIV-RNA levels measurements before AIDS development and ART initiation. CD4 cell counts and HIV-RNA trajectories from HIV seroconversion were estimated by a bivariate linear mixed model (LMM) fitted to natural history data from the CASCADE collaboration [20]. CASCADE comprises data of over 30.000 HIV-positive persons with documented dates of HIV seroconversion from 29 cohorts across Europe, Canada and Australia.…”

Section: Statistical Analysesmentioning

confidence: 99%

High levels of postmigration HIV acquisition within nine European countries

Arco

Fakoya

Thomadakis³

et al. 2017

Aids

113

101

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Objective: We aimed to estimate the proportion of post-migration HIV acquisition among HIVpositive migrants in Europe. Design:To reach HIV positive migrants we designed a cross sectional study performed in HIV clinics. Methods:The study was conducted from July 2013-July 2015 in 57 clinics (9 European countries, targeting individuals over 18 years diagnosed in the preceding 5 years and born abroad.Electronic questionnaires supplemented with clinical data were completed in any of 15 languages.Post-migration HIV acquisition was estimated through Bayesian approaches combining extensive information on migration and patients' characteristics. CD4 counts and HIV-RNA trajectories from seroconversion were estimated by bivariate linear mixed models fitted to natural history data. Post-migration acquisition risk factors were investigated with weighted logistic regression. Median time in host countries was 8 years. Post-migration HIV acquisition was 63% (95% CI: 57%-67%); 72% among MSM, 58% and 51% in heterosexual men and women, respectively. Post-migration HIV acquisition was 71% for LAC migrants and 45% for people from SSA. ResultsFactors associated with post-migration HIV acquisition among heterosexual women and MSM were age at migration, length of stay in host country and HIV diagnosis year and among heterosexual men, length of stay in host country, and HIV diagnosis year. Conclusions:A substantial proportion of HIV-positive migrants living in Europe acquired HIV post-migration. This has important implications for European public health policies.

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Impact of HIV-1 Subtype on CD4 Count at HIV Seroconversion, Rate of Decline, and Viral Load Set Point in European Seroconverter Cohorts

Abstract: HIV-1 subtype significantly influences seroconversion CD4 cell levels and decline rates but not viral load set point. These findings may be helpful to HIV-positive individuals and their attending physicians in understanding disease progression.

Cited by 95 publications

References 29 publications

Results from a Method for Estimating HIV Incidence Based on the First Cd4 Count among Treatment-Naïve Cases: Brazil, 2004-2013

Results from a Method for Estimating HIV Incidence Based on the First Cd4 Count among Treatment-Naïve Cases: Brazil, 2004-2013

Profile of HIV subtypes in HIV/HBV- and HIV/HCV-coinfected patients in Southern Brazil

High levels of postmigration HIV acquisition within nine European countries

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