Association of First-Line and Second-Line Antiretroviral Therapy Adherence.

Autor: Ramadhani, Habib O., Bartlett, John A., Thielman, Nathan M., Pence, Brian W., Kimani, Stephen M., Maro, Venance P., Mwako, Mtumwa S., Masaki, Lazaro J., Mmbando, Calvin E., Minja, Mary G., Lirhunde, Eileen S., Miller, William C.
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Zdroj: Open Forum Infectious Diseases; Sep2014, Vol. 1 Issue 2, p1-1, 1p
Abstrakt: Adherence to first-line ART is an important predictor of adherence to second-line ART. Improving adherence prior to switch is critical to improve patient outcomes.Background. Adherence to first-line antiretroviral therapy (ART) may be an important indicator of adherence to second-line ART. Evaluating this relationship may be critical to identify patients at high risk for second-line failure, thereby exhausting their treatment options, and to intervene and improve patient outcomes.Methods. Adolescents and adults (n = 436) receiving second-line ART were administered standardized questionnaires that captured demographic characteristics and assessed adherence. Optimal and suboptimal cumulative adherence were defined as percentage adherence of ≥90% and <90%, respectively. Bivariable and multivariable binomial regression models were used to assess the prevalence of suboptimal adherence percentage by preswitch adherence status.Results. A total of 134 of 436 (30.7%) participants reported suboptimal adherence to second-line ART. Among 322 participants who had suboptimal adherence to first-line ART, 117 (36.3%) had suboptimal adherence to second-line ART compared with 17 of 114 (14.9%) who had optimal adherence to first-line ART. Participants who had suboptimal adherence to first-line ART were more likely to have suboptimal adherence to second-line ART (adjusted prevalence ratio, 2.4; 95% confidence interval, 1.5–3.9).Conclusions. Adherence to first-line ART is an important predictor of adherence to second-line ART. Targeted interventions should be evaluated in patients with suboptimal adherence before switching into second-line therapy to improve their outcomes. [ABSTRACT FROM PUBLISHER]
Databáze: Complementary Index