DESIGN: Death-related data were retrospectively and prospectively assessed in a longitudinal regional cohort study.
METHODS: Children under routine HIV care at sites in Cambodia, India, Indonesia, Malaysia, Thailand, and Vietnam between 2008 and 2017 were followed. Causes of death were reported and then independently and centrally reviewed. Predictors were compared using competing risks survival regression analyses.
RESULTS: Among 5918 children, 5523 (93%; 52% male) had ever been on combination antiretroviral therapy. Of 371 (6.3%) deaths, 312 (84%) occurred in those with a history of combination antiretroviral therapy (crude all-cause mortality 9.6 per 1000 person-years; total follow-up time 32 361 person-years). In this group, median age at death was 7.0 (2.9-13) years; median CD4 cell count was 73 (16-325) cells/μl. The most common underlying causes of death were pneumonia due to unspecified pathogens (17%), tuberculosis (16%), sepsis (8.0%), and AIDS (6.7%); 12% of causes were unknown. These clinical diagnoses were further grouped into AIDS-related infections (22%) and noninfections (5.8%), and non-AIDS-related infections (47%) and noninfections (11%); with 12% unknown, 2.2% not reviewed. Higher CD4 cell count and better weight-for-age z-score were protective against death.
CONCLUSION: Our standardized cause of death assessment provides robust data to inform regional resource allocation for pediatric diagnostic evaluations and prioritization of clinical interventions, and highlight the continued importance of opportunistic and nonopportunistic infections as causes of death in our cohort.
DESIGN: We analyzed data from a community-recruited prospective cohort in Vancouver, Canada (n = 623), from 2014 to 2017.
METHODS: We used multivariable generalized mixed-effects analyses to estimate longitudinal factors associated with mean material security score. We then estimated the association between achieving at least 95% adherence to ART and overall mean material score, as well as mean score for three factors derived from a factor analysis. The three-factor structure, employed in the current analyses, were factor 1 (basic needs); factor 2 (housing-related variables) and factor 3 (economic resources).
RESULTS: Recent incarceration [β-coefficient (β) = -0.176, 95% confidence interval (95% CI): -0.288 to -0.063], unmet health needs [β = -0.110, 95% CI: -0.178 to -0.042), unmet social service needs (β = -0.264, 95% CI: -0.336 to -0.193) and having access to social services (β= -0.102, 95% CI: -0.1586 to -0.0465) were among the factors associated with lower material security scores. Contrary to expectations that low levels of material security in this population would lead to poor ART adherence, we did not observe a significant relationship between adherence and overall material security score, or for each factor individually.
CONCLUSION: Our findings highlight the potentially important role of no-cost, universal access to HIV prevention and treatment, in mitigating the impact of socioeconomic disadvantage on ART adherence.
DESIGN: Ongoing observational database collating clinical data on HIV-infected children and adolescents in Asia.
METHODS: Data from 2001 to 2016 relating to adolescents (10-19 years) with perinatal HIV infection were analysed to describe characteristics at adolescent entry and transition and combination antiretroviral therapy (cART) regimens across adolescence. A competing risk regression analysis was used to determine characteristics at adolescent entry associated with mortality. Outcomes at transition were compared on the basis of age at cART initiation.
RESULTS: Of 3448 PHIVA, 644 had reached transition. Median age at HIV diagnosis was 5.5 years, cART initiation 7.2 years and transition 17.9 years. At adolescent entry, 35.0% had CD4+ cell count less than 500 cells/μl and 51.1% had experienced a WHO stage III/IV clinical event. At transition, 38.9% had CD4+ cell count less than 500 copies/ml, and 53.4% had experienced a WHO stage III/IV clinical event. Mortality rate was 0.71 per 100 person-years, with HIV RNA ≥1000 copies/ml, CD4+ cell count less than 500 cells/μl, height-for-age or weight-for-age z-score less than -2, history of a WHO stage III/IV clinical event or hospitalization and at least second cART associated with mortality. For transitioning PHIVA, those who commenced cART age less than 5 years had better virologic and immunologic outcomes, though were more likely to be on at least second cART.
CONCLUSION: Delayed HIV diagnosis and cART initiation resulted in considerable morbidity and poor immune status by adolescent entry. Durable first-line cART regimens to optimize disease control are key to minimizing mortality. Early cART initiation provides the best virologic and immunologic outcomes at transition.
DESIGN: Prospective cohort study.
METHODS: MSM and TGW aged at least 18 years, were enrolled from Indonesia, Malaysia, and Thailand, then followed up 6-monthly for 12 months. Anal swabs were collected at every visit for HR-HPV genotypes to define anal HR-HPV incidence, clearance, and persistence. Logistic regression was used to evaluate factors associated with HR-HPV persistence.
RESULTS: Three hundred and twenty-five MSM and TGW were included in this study, of whom 72.3% were HIV-positive. The incidence of anal HR-HPV persistence was higher in HIV-positive than HIV-negative MSM participants (28.4/1000 vs. 13.9/1000 person-months). HIV-positive participants had HR-HPV lower clearance rate than HIV-negative participants (OR 0.3; 95% CI 0.1-0.7). The overall persistence of HR-HPV was 39.9% in HIV-positive and 22.8% HIV-negative participants. HPV-16 was the most persistent HR-HPV in both HIV-positive and HIV-negative participants. HIV infection (aOR 2.87; 95% CI 1.47-5.61), living in Kuala Lumpur (aOR 4.99; 95% CI 2.22-11.19) and Bali (aOR 3.39; 95% CI 1.07-10.75), being employed/freelance (aOR 3.99; 95% CI 1.48-10.77), and not being circumcised (aOR 2.29; 95% CI 1.07-4.88) were independently associated with anal HR-HPV persistence.
CONCLUSION: HIV-positive MSM and TGW had higher risk of persistent anal HR-HPV infection. Prevention program should be made available and prioritized for HIV-positive MSM and TGW where resources are limited.
DESIGN: Sarcopenia (age-related muscle loss) causes significant morbidity to the elderly, leading to frequent hospitalizations, disability and death. Few have characterized sarcopenia in the HIV-infected who experience accelerated aging.
METHODS: Sarcopenia was defined as low muscle mass with weak grip strength and/or slow gait speed using lower 20th percentiles of controls. Multivariate logistic and linear regression analyses were used to explore risk factors and health-related outcomes associated with sarcopenia among HIV-infected individuals.
RESULTS: We recruited 315 HIV-infected individuals aged at least 25 years with at least 1-year history of undetectable viral load on treatment (HIV RNA <50 copies/ml). Percentage of sarcopenia in 315 HIV-infected was 8%. Subsequently, 153 of the 315 were paired with age, sex and ethnically matched HIV-uninfected. The percentage of sarcopenia in the HIV-infected (n = 153) compared with uninfected (n = 153) were 10 vs. 6% (P = 0.193) respectively, whereas of those at least 50 years of age among them were 17% vs. 4% (P = 0.049), respectively. Associated risk factors among the HIV-infected include education level, employment status, BMI, baseline CD4 cell count, duration on NRTIs and GGT levels. Identified negative outcomes include mortality risk scores [5.42; 95% CI 1.46-9.37; P = 0.007) and functional disability (3.95; 95% CI 1.57-9.97; P = 0.004).
CONCLUSION: Sarcopenia is more prevalent in HIV-infected at least 50 years old compared with matched controls. Our findings highlight associations between sarcopenia with loss of independence and greater healthcare burden among treated HIV-infected individuals necessitating early recognition and intervention.
DESIGN: We included data on children initiating ART between 2004 and 2016 at less than 16 years old at 16 International Epidemiologic Databases to Evaluate AIDS Southern Africa cohorts. Children were classified as loss to follow up (LTFU) if they had not attended clinic for more than 180 days. Children had a care interruption if they were classified as LTFU, and subsequently returned to care. Children who died within 180 days of ART start were excluded.
METHODS: The main outcome was all cause mortality. Two exposed groups were considered: those with a first care interruption within the first 6 months on ART, and those with a first care interruption after 6 months on ART. Adjusted hazard ratios were determined using a Cox regression model.
RESULTS: Among 53 674 children included, 23 437 (44%) had a care interruption, of which 10 629 (20%) had a first care interruption within 6 months on ART and 12 808 (24%) had a first care interruption after 6 months on ART. Increased mortality was associated with a care interruption within 6 months on ART [adjusted hazard ratio (AHR) = 1.52, 95% CI 1.12-2.04] but not with a care interruption after 6 months on ART (AHR = 1.05, 95% CI 0.77-1.44).
CONCLUSION: The findings suggest that strengthening retention of children in care in the early period after ART initiation is critical to improving paediatric ART outcomes.
METHODS: This cross-sectional study recruited adult PWH during routine follow-up at five HIV clinical sites in the Asia-Pacific region. Participants were screened for depression using Patient Health Questionnaire-9 and SU using Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Quality of life (QoL) was assessed with WHOQOL-HIV BREF and functional ability with World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). Factors associated with mean QoL and disability scores were analysed using linear regression.
RESULTS: Of 864 PWH enrolled, 753 screened positive for depression or SU. The median (interquartile range, IQR) age was 38 (31-47) years and 97% were on ART. Overall mean WHOQOL-HIV BREF and WHODAS scores indicated greater impairment with increasing depressive symptom severity and SU risk. In multivariate analysis, PWH reporting previous trauma/stress (difference = 2.7, 95% confidence interval [CI] 1.5-3.9, P