A decision tree to help determine the best timing and antiretroviral strategy in HIV-infected patients.

Optimal antiretroviral strategies for HIV-infected patients still need to be established. To this end a decision tree including different antiretroviral strategies that could be adopted for HIV-infected patients was built. A 10-year follow-up was simulated by using transitional probabilities estimated from a large cohort using a time-homogeneous Markov model. The desired outcome was for patients to maintain a CD4 cell count of >500 cells/mm3 without experiencing AIDS or death. For patients with a baseline HIV viral load ≥5 log10 copies/ml, boosted protease inhibitor-based immediate highly active antiretroviral therapy (HAART) allowed them to spend 12% more time with CD4 ≥500/mm3 than did delayed HAART (6·40 vs. 5·69 and 5·57 vs. 4·90 years for baseline CD4 ≥500 and 350-499/mm3, respectively). In patients with a baseline HIV viral load ≤3·5 log10 copies/ml, delayed HAART performed better than immediate HAART (6·43 vs. 6·26 and 5·95 vs. 5·18 for baseline CD4 ≥500 and 350-499/mm3, respectively). Immediate HAART is beneficial in patients with a baseline HIV viral load 5 log10 copies/ml, whereas deferred HAART appears to be the best option for patients with CD4 ≥350/mm3 and baseline HIV viral load <3·5 log10 copies/ml.

Markov modelling of HIV infection evolution in the HAART era.

The aim was to investigate the impact of the main prognostic factors on HIV evolution. A multi-state Markov model was applied in a cohort of 2126 patients to estimate impact of these factors on patients' clinical and immunological evolutions. Clinical progression and immunological deterioration shared most of their prognostic factors: male gender, intravenous drug use, weight loss, low haemoglobin level (<110 g/l), CD8 cell count (<500/mm(3)) and HIV viral load (>5 log(10) copies/ml). Highly active retroviral therapy reduced the risks of clinical progression and immune deterioration whatever patients' CD4 cell count. Risk reductions were 41-60% for protease inhibitor-based and 27-68% for non-nucleoside reverse transcriptase inhibitor-based regimens. Three-year transition probabilities showed that only patients with a CD4 cell count >or=350 CD4/mm(3) could in most cases maintain their immunity. This model provides 'real life' transition probabilities from one immunological stage to another, allowing decision analyses that could help determine the beneficial therapeutic strategies for HIV-infected patients.

Evaluation of the Patient Medication Adherence Questionnaire as a tool for self-reported adherence assessment in HIV-infected patients on antiretroviral regimens.

PURPOSE: Adherence to antiretroviral medications is critically important for the success of therapy in patients treated for HIV infection. Patient self-report is a simple method to measure and explore adherence. Even though a variety of surveys have been developed to monitor self-reported adherence, there is no standardized instrument that may be used in routine clinical practice. The usefulness of the Patient Medication Adherence Questionnaire (PMAQ) was evaluated in HIV-infected patients on protease inhibitor (PI)-containing regimens. METHOD: Data from 149 patients were collected. Study participants completed the PMAQ and provided blood samples to measure plasma HIV-1 RNA concentrations and trough plasma levels of PI. Patients were considered adherent if they had a virologic response and/or had an adequate trough plasma level of PI. RESULTS: A close relationship was found between patient reports of adherence during the previous 4 days and objective measures such as HIV RNA level and plasma levels of PI. Motivation with regard to antiretroviral treatment, confidence in personal skills, and an optimistic attitude to life were identified as important determinants of adherence. On the other hand, sociodemographic background, social support, alcohol and illicit drug use, bothersome symptoms, and depression were not associated with a lower medication adherence. CONCLUSION: Patients' psychological and behavioral factors are central in the acceptance and adherence to antiretroviral therapy. To improve the feasibility and the reproducibility of the PMAQ, we propose a revised form of the PMAQ, focusing on the variables identified as strong predictors of adherence.