Risk factors associated with sexually transmitted infections among HIV infected men who have sex with men

<div><p>To investigate the factors associated with sexually transmitted infection and Human Immunodeficiency Virus (STI-HIV) co-infection among men who have sex with men (MSM). A total of 357 HIV-infected participants (84 STI-HIV co-infection and 273 HIV infections only) were recruited from Jiangsu, China. Logistic regression analyses were used to estimate the related factors associated with STI-HIV co-infection. Marginal structural models were adopted to estimate the effect of transmission drug resistance (TDR) on STI-HIV co-infection. For all participants, logistic regression analyses revealed that those who diagnosed with HIV-1 for longer duration (≥1.8 years) were significantly associated with reduced STI-HIV co-infection risk (OR = 0.55, 95%CI: 0.32–0.96, <i>P</i> = 0.036). In further stratification analysis by <a href="https://www.ncbi.nlm.nih.gov/pubmed/27571495" target="_blank">antiretroviral therapy</a> (ART), individuals with longer duration showed consistent significant associations with STI-HIV co-infection risk (OR = 0.46, 95%CI: 0.26–0.83, <i>P</i> = 0.010) among MSM with ART-naïve status. In addition, significant reduced risk for STI-HIV co-infection (OR = 0.98, 95%CI: 0.96–0.99, <i>P</i> = 0.010) were observed in younger (under the average age of 31.03) MSM of the same group. Interestingly, we also found TDR was significantly associated with an increased risk of STI-HIV co-infection risk (OR = 3.84, 95%CI: 1.05–14.03, <i>P</i> = 0.042) in ART-naïve group. Our study highlights a pattern of STI-HIV co-infection among MSM in China and indicates that targeted interventions aimed at encouraging TDR monitoring in MSM with early HIV infection are warranted.</p></div

Odd ratio from both traditional model and marginal structural model (MSM) for the risk of STI-HIV co-infection.

<p>Odd ratio from both traditional model and marginal structural model (MSM) for the risk of STI-HIV co-infection.</p

Logistic regression analyses of related factors associated with STI-HIV co-infection among MSM in Jiangsu.

<p>Logistic regression analyses of related factors associated with STI-HIV co-infection among MSM in Jiangsu.</p