METHODS: From 2010 to 2014, men with HIV (N = 212) and opioid dependence before incarceration were enrolled in MMT within 6 months of release from Malaysia's largest prison and followed for 12-months post-release. As a prospective trial, allocation to MMT was at random and later by preference design (predictive nonetheless). MMT dosing was individually targeted to minimally achieve 80 mg/day. Time-to-event analyses were conducted to model linkage to MMT after release.
FINDINGS: Of the 212 participants allocated to MMT, 98 (46 %) were prescribed higher dosages (≥80 mg/day) before release. Linkage to MMT after release occurred in 77 (36 %) participants and significantly higher for those prescribed higher dosages (46% vs 28 %; p = 0.011). Factors associated with higher MMT dosages were being married, on antiretroviral therapy, longer incarceration periods, having higher levels of depression, and methadone preference compared to randomization. After controlling for other variables, being prescribed higher methadone dosage (aHR: 2.53, 95 %CI: 1.42-4.49) was the only independent predictor of linkage to methadone after release.
INTERPRETATION: Higher doses of methadone prescribed before release increased the likelihood of linkage to MMT after release. Methadone dosing should be introduced into international guidelines for treatment of opioid use disorder in prisons and further post-release benefits should be explored.
FUNDING: National Institute of Drug Abuse (NIDA).
METHODS: A 3-year retrospective study was conducted among TB-HIV co-infected patients treated at the University of Malaya Medical Centre. Simple and adjusted logistic regressions were used to identify the predictors for TB-IRIS while Cox regression was used to assess the influence of TB-IRIS on long-term CD4 T-cell recovery.
RESULTS: One hundred and fifty-three TB-HIV patients were enrolled, of whom 106 had received both anti-TB treatment (ATT) and ART. The median (IQR) baseline CD4 T-cell count was 52 cells μL(-1) (13-130 cells μL(-1)). Nine of 96 patients (9.4%) developed paradoxical TB-IRIS and eight developed unmasking TB-IRIS, at a median (IQR) time of 27 (12-64) and 19 (14-65) days, respectively. In adjusted logistic regression analysis, only disseminated TB was predictive of TB-IRIS [OR: 10.7 (95% CI: 1.2-94.3), P=0.032]. Mortality rates were similar for TB-IRIS (n=1, 5.9%) and non-TB-IRIS (n=5, 5.7%) patients and CD4 T-cell recovery post-ART was not different between the two groups (P=0.363).
CONCLUSION: Disseminated TB was a strong independent predictor of TB-IRIS in Malaysian HIV-TB patients after commencing ART. This finding underscores the role of a high pathogen load in the pathogenesis of TB-IRIS; so interventions that reduce pathogen load before ART may benefit HIV patients with disseminated TB.
METHODS: A qualitative study was conducted to explore the context and experiences of people at risk of HIV infection testing and seeking treatment later in the course of their infection. Participants recruited (n = 20) were HIV positive, aged >18 years who fit the description of late presentation (World Health Organization defined as CD4 cell count <350 cells/µL). Semi-structured interviews were conducted, and a framework approach was used to interrogate the data.
RESULTS: Many participants perceived themselves at low risk of HIV infection and did not undergo routine voluntary testing; rather, they were diagnosed when seeking treatment for serious illness or as part of mandatory employment-related testing. Perceived lack of confidentiality and potential discriminatory behaviour at public health facilities were significant deterrents to testing. Participants were satisfied with HIV treatment, but rarely sought psychosocial support in order to 'protect' their privacy.
CONCLUSION: Unless drivers of HIV infection are effectively addressed, including stigmatising and discriminatory practices, and low health literacy, the occurrence of late presentation will persist. Their collective impact will not only jeopardise efforts to improve the treatment cascade, but may also impact engagement with other biomedical prevention and care technologies.