Literature DB >> 28444865

A high rate of HIV-1 acquisition post immigration among migrants in Sweden determined by a CD4 T-cell decline trajectory model.

J Brännström1,2, A Sönnerborg1,2,3,4, V Svedhem1,2, U Neogi3,4, G Marrone1,2.   

Abstract

OBJECTIVES: There is a lack of knowledge about the extent to which migrants become HIV-1 infected after arrival in European countries. The objective of this study was to assess the extent to which migrants to Sweden become HIV-1 infected post immigration using a CD4 T-cell decline trajectory model.
METHODS: All migrants (n = 2268) who were ≥ 15 years old, were diagnosed with HIV-1 infection in the period 1983-2013, had a known year of arrival in Sweden, did not have primary HIV infection and were not infected via mother-to-child transmission were included in the study. The CD4 T-cell decline trajectory model was applied and estimates of HIV acquisition were compared to the clinical reports. Phylogenetic analysis was performed in a subset of patients to explore whether this would favour the model or the doctor's estimate.
RESULTS: The model estimated 19% of individuals to have been infected after arrival in Sweden, whereas the physician's estimate was 12%. In 79% of cases the estimates agreed. Discordance was predominantly seen when the doctor estimated HIV acquisition to have occurred before arrival in Sweden, while the model estimated it to have occurred after arrival in Sweden, and this type of discordance was seen in 10% of all patients. The probability of a discordance was greater for older patients, those with a high first CD4 T-cell count and those infected via heterosexual transmission. The phylogenetic analysis showed a higher concordance with the CD4 model than with the clinical reports (36 vs. 13%, respectively).
CONCLUSIONS: The model indicated that a substantially higher proportion of migrants are infected after arrival in Sweden than estimated using clinical routine reports. It is therefore important to further emphasize primary preventive measures among migrants who have established themselves in their new country.
© 2017 British HIV Association.

Entities:  

Keywords:  CD4 T-cell decline; HIV surveillance; HIV-1; migrants; trajectory model

Mesh:

Year:  2017        PMID: 28444865     DOI: 10.1111/hiv.12509

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  10 in total

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Review 2.  HIV outcomes among migrants from low-income and middle-income countries living in high-income countries: a review of recent evidence.

Authors:  Jonathan Ross; Chinazo O Cunningham; David B Hanna
Journal:  Curr Opin Infect Dis       Date:  2018-02       Impact factor: 4.915

3.  Post-migration HIV acquisition among african immigrants in the U.S.

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5.  The Epidemiology of HIV Among People Born Outside the United States, 2010-2017.

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6.  Recent increased identification and transmission of HIV-1 unique recombinant forms in Sweden.

Authors:  Ujjwal Neogi; Abu Bakar Siddik; Prabhav Kalaghatgi; Magnus Gisslén; Göran Bratt; Gaetano Marrone; Anders Sönnerborg
Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

7.  Monitoring progress towards the first UNAIDS 90-90-90 target in key populations living with HIV in Norway.

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Journal:  BMC Infect Dis       Date:  2020-06-26       Impact factor: 3.090

8.  Challenges in modelling the proportion of undiagnosed HIV infections in Sweden.

Authors:  Emmi Andersson; Fumiyo Nakagawa; Ard van Sighem; Maria Axelsson; Andrew N Phillips; Anders Sönnerborg; Jan Albert
Journal:  Euro Surveill       Date:  2019-04

9.  Sexual risk-taking behaviors among young migrant population in Sweden.

Authors:  Sara Causevic; Mariano Salazar; Nicola Orsini; Anna Kågesten; Anna Mia Ekström
Journal:  BMC Public Health       Date:  2022-03-30       Impact factor: 3.295

10.  Genetic divergence of HIV-1 B subtype in Italy over the years 2003-2016 and impact on CTL escape prevalence.

Authors:  Claudia Alteri; Lavinia Fabeni; Rossana Scutari; Giulia Berno; Domenico Di Carlo; Caterina Gori; Ada Bertoli; Alessandra Vergori; Ilaria Mastrorosa; Rita Bellagamba; Cristina Mussini; Manuela Colafigli; Francesco Montella; Alfredo Pennica; Claudio Maria Mastroianni; Enrico Girardi; Massimo Andreoni; Andrea Antinori; Valentina Svicher; Francesca Ceccherini-Silberstein; Carlo Federico Perno; Maria Mercedes Santoro
Journal:  Sci Rep       Date:  2018-10-24       Impact factor: 4.379

  10 in total

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