AIMS: This mixed method study examined the prevalence, correlates, and social context of WP-DI among HIV-infected male prisoners in Indonesia.
METHODS: 102 randomly selected HIV-infected male prisoners completed semi-structured voice-recorded interviews about drug use changes after arrest, drug use cues within prison, and impact of WP-DI on HIV and addiction treatment. Logistic regression identified multivariate correlates of WP-DI and thematic analysis of interview transcripts used grounded-theory.
RESULTS: Over half (56%) of participants reported previous WP-DI. Of those, 93% shared injection equipment in prison, and 78.6% estimated sharing needles with ≥ 10 other prisoners. Multivariate analyses independently correlated WP-DI with being incarcerated for drug offenses (AOR = 3.29, 95%CI = 1.30-8.31, p = 0.011) and daily drug injection before arrest (AOR = 5.23, 95%CI = 1.42-19.25, p = 0.013). Drug availability and proximity to drug users while incarcerated were associated with frequent drug craving and escalating drug use risk behaviors after arrest. Energetic heroin marketing and stigmatizing attitudes toward methadone contribute to WP-DI and impede addiction and HIV treatment.
CONCLUSIONS: Frequent WP-DI and needle sharing among these HIV-infected Indonesian prison inmates indicate the need for structural interventions that reduce overcrowding, drug supply, and needle sharing, and improve detection and treatment of substance use disorders upon incarceration to minimize WP-DI and associated harm.
Methods: An observational study was conducted among 3935 patients presenting with acute upper respiratory illnesses in the ambulatory settings between 2012 and 2014.
Results: The VP4/VP2 gene was genotyped from all 976 RV-positive specimens, where the predominance of RV-A (49%) was observed, followed by RV-C (38%) and RV-B (13%). A significant regression in median nasopharyngeal viral load (VL) (P < .001) was observed, from 883 viral copies/µL at 1-2 days after symptom onset to 312 viral copies/µL at 3-4 days and 158 viral copies/µL at 5-7 days, before declining to 35 viral copies/µL at ≥8 days. In comparison with RV-A (median VL, 217 copies/µL) and RV-B (median VL, 275 copies/µL), RV-C-infected subjects produced higher VL (505 copies/µL; P < .001). Importantly, higher RV VL (median, 348 copies/µL) was associated with more severe respiratory symptoms (Total Symptom Severity Score ≥17, P = .017). A total of 83 phylogenetic-based transmission clusters were identified in the population. It was observed that the relative humidity was the strongest environmental predictor of RV seasonality in the tropical climate.
Conclusions: Our findings underline the role of VL in increasing disease severity attributed to RV-C infection, and unravel the factors that fuel the population transmission dynamics of RV.
METHODS: From October 2012 to May 2013, prisoners housed in two distinct units (HIV-negative and HIV-positive) were approached to participate in the TB screening study. Consenting prisoners submitted two sputum samples that were examined using GeneXpert MTB/RIF, smear microscopy and liquid culture. Socio-demographic and clinical information was collected and correlates of active TB, defined as having either a positive GeneXpert MTB/RIF or culture results, were assessed using regression analyses.
RESULTS: Among the total of 559 prisoners, 442 (79.1%) had complete data; 28.7% were HIV-infected, 80.8% were men and the average age was 36.4 (SD 9.8) years. Overall, 34 (7.7%) had previously undiagnosed active TB, of whom 64.7% were unable to complete their TB treatment in prison due to insufficient time (<6 months) remaining in prison. Previously undiagnosed active TB was independently associated with older age groups (AOR 11.44 and 6.06 for age ≥ 50 and age 40-49 years, respectively) and with higher levels of immunosuppression (CD4 < 200 cells/ml) in HIV-infected prisoners (AOR 3.07, 95% CI 1.03-9.17).
CONCLUSIONS: The high prevalence of previously undiagnosed active TB in this prison highlights the inadequate performance of internationally recommended case-finding strategies and suggests that passive case-finding policies should be abandoned, especially in prison settings where HIV infection is prevalent. Moreover, partnerships between criminal justice and public health treatment systems are crucial to continue TB treatment after release.
DISCUSSION: Although crucial guidance has been released on how to maintain TB and HIV services during the pandemic, it is acknowledged that what was considered normal service pre-pandemic needs to improve to ensure that we rebuild person-centred, inclusive and quality healthcare services. The threat that the pandemic may reverse gains in the response to TB and HIV may be turned into an opportunity by pivoting to using proven differentiated service delivery approaches and innovative technologies that can be used to maintain care during the pandemic and accelerate improved service delivery in the long term. Models of care should be convenient, supportive and sufficiently differentiated to avoid burdensome clinic visits for medication pick-ups or directly observed treatments. Additionally, the pandemic has highlighted the chronic and short-sighted lack of investment in health systems and the need to prioritize research and development to close the gaps in TB diagnosis, treatment and prevention, especially for children and people with HIV. Most importantly, TB-affected communities and civil society must be supported to lead the planning, implementation and monitoring of TB and HIV services, especially in the time of COVID-19 where services have been disrupted, and to report on legal, policy and gender-related barriers to access experienced by affected people. This will help to ensure that TB services are held accountable by affected communities for delivering equitable access to quality, affordable and non-discriminatory services during and beyond the pandemic.
CONCLUSIONS: Successfully reaching the related targets of ending TB and AIDS as public health threats by 2030 requires rebuilding of stronger, more inclusive health systems by advancing equitable access to quality TB services, including for people with HIV, both during and after the COVID-19 pandemic. Moreover, services must be rights-based, community-led and community-based, to ensure that no one is left behind.
METHODS: In this systematic review and individual participant data meta-analysis, we updated a search of PubMed (MEDLINE), Embase, the Cochrane Library, and conference abstracts for publications from Jan 1, 2011, to March 12, 2018, done in a previous systematic review to include the period up to Aug 2, 2019. We screened the reference lists of identified pieces and contacted experts in the field. We included prospective cross-sectional, observational studies and randomised trials among adult and adolescent (age ≥10 years) ambulatory people living with HIV, irrespective of signs and symptoms of tuberculosis. We extracted study-level data using a standardised data extraction form, and we requested individual participant data from study authors. We aimed to compare the W4SS with alternative screening tests and strategies and the WHO-recommended algorithm (ie, W4SS followed by Xpert) with Xpert for all in terms of diagnostic accuracy (sensitivity and specificity), overall and in key subgroups (eg, by antiretroviral therapy [ART] status). The reference standard was culture. This study is registered with PROSPERO, CRD42020155895.
FINDINGS: We identified 25 studies, and obtained data from 22 studies (including 15 666 participants; 4347 [27·7%] of 15 663 participants with data were on ART). W4SS sensitivity was 82% (95% CI 72-89) and specificity was 42% (29-57). C-reactive protein (≥10 mg/L) had similar sensitivity to (77% [61-88]), but higher specificity (74% [61-83]; n=3571) than, W4SS. Cough (lasting ≥2 weeks), haemoglobin (<10 g/dL), body-mass index (<18·5 kg/m2), and lymphadenopathy had high specificities (80-90%) but low sensitivities (29-43%). The WHO-recommended algorithm had a sensitivity of 58% (50-66) and a specificity of 99% (98-100); Xpert for all had a sensitivity of 68% (57-76) and a specificity of 99% (98-99). In the one study that assessed both, the sensitivity of sputum Xpert Ultra was higher than sputum Xpert (73% [62-81] vs 57% [47-67]) and specificities were similar (98% [96-98] vs 99% [98-100]). Among outpatients on ART (4309 [99·1%] of 4347 people on ART), W4SS sensitivity was 53% (35-71) and specificity was 71% (51-85). In this population, a parallel strategy (two tests done at the same time) of W4SS with any chest x-ray abnormality had higher sensitivity (89% [70-97]) and lower specificity (33% [17-54]; n=2670) than W4SS alone; at a tuberculosis prevalence of 5%, this strategy would require 379 more rapid diagnostic tests per 1000 people living with HIV than W4SS but detect 18 more tuberculosis cases. Among outpatients not on ART (11 160 [71·8%] of 15 541 outpatients), W4SS sensitivity was 85% (76-91) and specificity was 37% (25-51). C-reactive protein (≥10 mg/L) alone had a similar sensitivity to (83% [79-86]), but higher specificity (67% [60-73]; n=3187) than, W4SS and a sequential strategy (both test positive) of W4SS then C-reactive protein (≥5 mg/L) had a similar sensitivity to (84% [75-90]), but higher specificity than (64% [57-71]; n=3187), W4SS alone; at 10% tuberculosis prevalence, these strategies would require 272 and 244 fewer rapid diagnostic tests per 1000 people living with HIV than W4SS but miss two and one more tuberculosis cases, respectively.
INTERPRETATION: C-reactive protein reduces the need for further rapid diagnostic tests without compromising sensitivity and has been included in the updated WHO tuberculosis screening guidelines. However, C-reactive protein data were scarce for outpatients on ART, necessitating future research regarding the utility of C-reactive protein in this group. Chest x-ray can be useful in outpatients on ART when combined with W4SS. The WHO-recommended algorithm has suboptimal sensitivity; Xpert for all offers slight sensitivity gains and would have major resource implications.
FUNDING: World Health Organization.
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: Factors associated with survival and failure were analyzed using Cox proportional hazards and discrete time conditional logistic models.
RESULTS: TDR, found in 60 (4.1%) of 1471 Asian treatment-naive patients, was one of the significant predictors of failure. Patients with TDR to >1 drug in their regimen were >3 times as likely to fail compared to no TDR.
CONCLUSIONS: TDR was associated with failure in the context of non-fully sensitive regimens. Efforts are needed to incorporate resistance testing into national treatment programs.