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Trop Med Int Health ; 21(5): 662-74, 2016 May.
Article in English | MEDLINE | ID: mdl-26950901

ABSTRACT

OBJECTIVES: Treatment interruptions (TIs) of combination antiretroviral therapy (cART) are known to lead to unfavourable treatment outcomes but do still occur in resource-limited settings. We investigated the effects of TI associated with adverse events (AEs) and non-AE-related reasons, including their durations, on treatment failure after cART resumption in HIV-infected individuals in Asia. METHODS: Patients initiating cART between 2006 and 2013 were included. TI was defined as stopping cART for >1 day. Treatment failure was defined as confirmed virological, immunological or clinical failure. Time to treatment failure during cART was analysed using Cox regression, not including periods off treatment. Covariables with P < 0.10 in univariable analyses were included in multivariable analyses, where P < 0.05 was considered statistically significant. RESULTS: Of 4549 patients from 13 countries in Asia, 3176 (69.8%) were male and the median age was 34 years. A total of 111 (2.4%) had TIs due to AEs and 135 (3.0%) had TIs for other reasons. Median interruption times were 22 days for AE and 148 days for non-AE TIs. In multivariable analyses, interruptions >30 days were associated with failure (31-180 days HR = 2.66, 95%CI (1.70-4.16); 181-365 days HR = 6.22, 95%CI (3.26-11.86); and >365 days HR = 9.10, 95% CI (4.27-19.38), all P < 0.001, compared to 0-14 days). Reasons for previous TI were not statistically significant (P = 0.158). CONCLUSIONS: Duration of interruptions of more than 30 days was the key factor associated with large increases in subsequent risk of treatment failure. If TI is unavoidable, its duration should be minimised to reduce the risk of failure after treatment resumption.


Subject(s)
Anti-HIV Agents/administration & dosage , Anti-HIV Agents/adverse effects , HIV Infections/drug therapy , Medication Adherence/statistics & numerical data , Adult , Anti-HIV Agents/therapeutic use , Asia , CD4 Lymphocyte Count , Disease Progression , Drug Administration Schedule , Drug Therapy, Combination , Female , Humans , Male , Medication Adherence/psychology , Middle Aged , Proportional Hazards Models , Prospective Studies , Risk Factors , Time Factors , Treatment Failure , Treatment Outcome , Viral Load
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