Meta-analysis and time series modeling allow a systematic review of primary HIV-1 drug-resistant prevalence in Latin America and Caribbean

Antonio Victor Campos Coelho, Ronald Rodrigues De Moura, Ronaldo Celerino Da Silva, Anselmo Jiro Kamada, Rafael Lima Guimarães, Lucas André Cavalcanti Brandão, Hemílio Fernandes Campos Coelho, Sergio Crovella

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Here we review the prevalence of HIV-1 primary drug resistance in Latin America and Caribbean using meta-analysis as well as time-series modeling. We also discuss whether there could be a drawback to HIV/AIDS programs due to drug resistance in Latin America and Caribbean in the next years. We observed that, although some studies report low or moderate primary drug resistance prevalence in Caribbean countries, this evidence needs to be updated. In other countries, such as Brazil and Argentina, the prevalence of drug resistance appears to be rising. Mutations conferring resistance against reverse transcriptase inhibitors were the most frequent in the analyzed populations (70% of all mutational events). HIV-1 subtype B was the most prevalent in Latin America and the Caribbean, although subtype C and B/F recombinants have significant contributions in Argentina and Brazil. Thus, we suggest that primary drug resistance in Latin America and the Caribbean could have been underestimated. Clinical monitoring should be improved to offer better therapy, reducing the risk for HIV-1 resistance emergence and spread, principally in vulnerable populations, such as men who have sex with men transmission group, sex workers and intravenous drug users.

Original languageEnglish
Pages (from-to)125-142
Number of pages18
JournalCurrent HIV Research
Volume13
Issue number2
Publication statusPublished - 2015

Fingerprint

Latin America
Drug Resistance
Meta-Analysis
HIV-1
Pharmaceutical Preparations
Argentina
Brazil
Sex Workers
Reverse Transcriptase Inhibitors
Vulnerable Populations
Drug Users
Acquired Immunodeficiency Syndrome
HIV
Mutation
Population

Keywords

  • Drug resistance mutation
  • HAART
  • Meta-analysis
  • Primary drug resistance
  • Systematic review
  • Time series

ASJC Scopus subject areas

  • Infectious Diseases
  • Virology
  • Medicine(all)

Cite this

Campos Coelho, A. V., De Moura, R. R., Da Silva, R. C., Kamada, A. J., Guimarães, R. L., Brandão, L. A. C., ... Crovella, S. (2015). Meta-analysis and time series modeling allow a systematic review of primary HIV-1 drug-resistant prevalence in Latin America and Caribbean. Current HIV Research, 13(2), 125-142.

Meta-analysis and time series modeling allow a systematic review of primary HIV-1 drug-resistant prevalence in Latin America and Caribbean. / Campos Coelho, Antonio Victor; De Moura, Ronald Rodrigues; Da Silva, Ronaldo Celerino; Kamada, Anselmo Jiro; Guimarães, Rafael Lima; Brandão, Lucas André Cavalcanti; Coelho, Hemílio Fernandes Campos; Crovella, Sergio.

In: Current HIV Research, Vol. 13, No. 2, 2015, p. 125-142.

Research output: Contribution to journalArticle

Campos Coelho, AV, De Moura, RR, Da Silva, RC, Kamada, AJ, Guimarães, RL, Brandão, LAC, Coelho, HFC & Crovella, S 2015, 'Meta-analysis and time series modeling allow a systematic review of primary HIV-1 drug-resistant prevalence in Latin America and Caribbean', Current HIV Research, vol. 13, no. 2, pp. 125-142.
Campos Coelho AV, De Moura RR, Da Silva RC, Kamada AJ, Guimarães RL, Brandão LAC et al. Meta-analysis and time series modeling allow a systematic review of primary HIV-1 drug-resistant prevalence in Latin America and Caribbean. Current HIV Research. 2015;13(2):125-142.
Campos Coelho, Antonio Victor ; De Moura, Ronald Rodrigues ; Da Silva, Ronaldo Celerino ; Kamada, Anselmo Jiro ; Guimarães, Rafael Lima ; Brandão, Lucas André Cavalcanti ; Coelho, Hemílio Fernandes Campos ; Crovella, Sergio. / Meta-analysis and time series modeling allow a systematic review of primary HIV-1 drug-resistant prevalence in Latin America and Caribbean. In: Current HIV Research. 2015 ; Vol. 13, No. 2. pp. 125-142.
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