Background Interim results from the CHER trial showed that early antiretroviral therapy (ART) was life-saving for HIV-infected infants. Given limited options and potential for toxicity with life-long ART, CHER compared early limited ART with deferred ART. Methods CHER was an open 3-arm trial in HIV-infected asymptomatic infants aged <12 weeks with CD4% ≥25%. Infants were randomized to deferred (ART-Def) or immediate ART for 40weeks (ART-40W) or 96weeks (ART-96W), followed by interruption. Criteria for ART initiation in ART-Def and re-initiation after interruption were CD4% <25% in infancy; otherwise <20% or CDC severe stage B or stage C disease. Lopinavir-ritonavir, zidovudine, lamivudine was the first-line regimen at ART initiation and re-initiation. The primary endpoint was time-to-failure of first-line ART (immunological/clinical/virological) or death. Comparisons were by intent-to-treat, using time-to-event methods. Findings 377 infants were enrolled: median age 7.4weeks; CD4% 35% and HIV RNA log 5.7copies/ml. Median follow-up was 4.8 years; 34 (9%) were lost-to-follow-up. Median time to ART initiation in ART-Def was 20 (IQR 16–25) weeks. Time to restarting ART after interruption was 33 (26–45) weeks in ART-40W and 70 (35–109) weeks in ART-96W; at trial end 19% and 32% respectively, remained off ART. Proportions of follow-up time spent on ART were 81%, 70% and 69% in ART-Def, ART-40W and ART-96W arms. 48/125(38%), 32/126(25%) and 26/126(21%) children reached the primary endpoint; hazard ratio (95%CI), relative to ART-Def, was 0.59(0.38-0.93, p=0.02) for ART-40W and 0.47(0.27-0.76, p=0.002) for ART-96W. Seven children (3 ART-Def, 3 ART-40W, 1 ART-96W) switched to second-line ART. Interpretation Early limited ART had superior clinical/immunological outcome with no evidence of excess disease progression during subsequent interruption and less overall ART exposure than deferred ART. Longer time on primary ART permits longer subsequent interruption with marginally better outcomes.

Objectives To investigate the impact of isoniazid prophylaxis on mortality and incidence of tuberculosis in children with HIV. Design Two centre prospective double blind placebo controlled trial. Participants Children aged ≥ 8 weeks with HIV. Interventions Isoniazid or placebo given with co-trimoxazole either daily or three times a week. Setting Two tertiary healthcare centres in South Africa. Main outcome measures Mortality, incidence of tuberculosis, and adverse events. Results Data on 263 children (median age 24.7 months) were available when the data safety monitoring board recommended discontinuing the placebo arm; 132 (50%) were taking isoniazid. Median follow-up was 5.7 (interquartile range 2.0-9.7) months. Mortality was lower in the isoniazid group than in the placebo group (11 (8%) v 21 (16%), hazard ratio 0.46, 95% confidence interval 0.22 to 0.95, P = 0.015) by intention to treat analysis. The benefit applied across Centers for Disease Control clinical categories and in all ages. The reduction in mortality was similar in children on three times a week or daily isoniazid. The incidence of tuberculosis was lower in the isoniazid group (5 cases, 3.8%) than in the placebo group (13 cases, 9.9%) (hazard ratio 0.28, 0.10 to 0.78, P = 0.005). All cases of tuberculosis confirmed by culture were in children in the placebo group. Conclusions Prophylaxis with isoniazid has an early survival benefit and reduces incidence of tuberculosis in children with HIV. Prophylaxis may offer an effective public health intervention to reduce mortality in such children in settings with a high prevalence of tuberculosis. Trial registration. Clinical Trials NCT00330304

Background The interaction between COVID-19, non-communicable diseases, and chronic infectious diseases such as HIV and tuberculosis is unclear, particularly in low-income and middle-income countries in Africa. South Africa has a national HIV prevalence of 19% among people aged 15-49 years and a tuberculosis prevalence of 0•7% in people of all ages. Using a nationally representative hospital surveillance system in South Africa, we aimed to investigate the factors associated with in-hospital mortality among patients with COVID-19. MethodsIn this cohort study, we used data submitted to DATCOV, a national active hospital surveillance system for COVID-19 hospital admissions, for patients admitted to hospital with laboratory-confirmed SARS-CoV-2 infection between March 5, 2020, and March 27, 2021. Age, sex, race or ethnicity, and comorbidities (hypertension, diabetes, chronic cardiac disease, chronic pulmonary disease and asthma, chronic renal disease, malignancy in the past 5 years, HIV, and past and current tuberculosis) were considered as risk factors for COVID-19-related in-hospital mortality. COVID-19 in-hospital mortality, the main outcome, was defined as a death related to COVID-19 that occurred during the hospital stay and excluded deaths that occurred because of other causes or after discharge from hospital; therefore, only patients with a known in-hospital outcome (died or discharged alive) were included. Chained equation multiple imputation was used to account for missing data and random-effects multivariable logistic regression models were used to assess the role of HIV status and underlying comorbidities on COVID-19 in-hospital mortality. FindingsAmong the 219 265 individuals admitted to hospital with laboratory-confirmed SARS-CoV-2 infection and known in-hospital outcome data, 51 037 (23•3%) died. Most commonly observed comorbidities among individuals with available data were hypertension in 61 098 (37•4%) of 163 350, diabetes in 43 885 (27•4%) of 159 932, and HIV in 13 793 (9•1%) of 151 779. Tuberculosis was reported in 5282 (3•6%) of 146 381 individuals. Increasing age was the strongest predictor of COVID-19 in-hospital mortality. Other factors associated were HIV infection (adjusted odds ratio 1•34, 95% CI 1•27-1•43), past tuberculosis (1•26, 1•15-1•38), current tuberculosis (1•42, 1•22-1•64), and both past and current tuberculosis (1•48, 1•32-1•67) compared with never tuberculosis, as well as other described risk factors for COVID-19, such as male sex; non-White race; underlying hypertension, diabetes, chronic cardiac disease, chronic renal disease, and malignancy in the past 5 years; and treatment in the public health sector. After adjusting for other factors, people with HIV not on antiretroviral therapy (ART; adjusted odds ratio 1•45, 95% CI 1•22-1•72) were more likely to die in hospital than were people with HIV on ART. Among people with HIV, the prevalence of other comorbidities was 29•2% compared with 30•8% among HIV-uninfected individuals. Increasing number of comorbidities was associated with...

Background: The tuberculosis (TB) and human immunodeficiency virus (HIV) epidemics are poorly controlled in sub-Saharan Africa, where highly active antiretroviral treatment (HAART) has become more freely available. Little is known about the clinical presentation and outcome of TB in HIV-infected children on HAART.

Background With expanding pediatric antiretroviral therapy (ART) access, children will begin to experience treatment failure and require second-line therapy. We evaluated the probability and determinants of virologic failure and switching in children in South Africa. Methods Pooled analysis of routine individual data from children who initiated ART in 7 South African treatment programs with 6-monthly viral load and CD4 monitoring produced Kaplan-Meier estimates of probability of virologic failure (two consecutive unsuppressed viral loads with the second being >1,000 copies/ml, after ≥24 weeks of therapy) and switch to second-line. Cox proportional hazards models stratified by program were used to determine predictors of these outcomes. Results The 3-year probability of virologic failure among 5485 children was 19.3% (95%CI: 17.6–21.1). Use of nevirapine or ritonavir alone in the initial regimen (compared to efavirenz), and exposure to prevention of mother to child transmission regimens were independently associated with failure (adjusted hazard ratios (95%CI): 1.77(1.11–2.83), 2.39(1.57–3.64) and 1.40(1.02–1.92) respectively). Among 252 children with ≥1 year follow-up after failure, 38% were switched to second-line. Median (IQR) months between failure and switch was 5.7(2.9–11.0). Conclusion Triple ART based on nevirapine or ritonavir as a single protease inhibitor appears to be associated with a higher risk of virologic failure. A low proportion of virologically failing children were switched.

BCG vaccination poses a risk to infants perinatally infected with HIV and to other primary immunodeficient children. The proposed pediatric BCG disease classification reflects clinically relevant disease categories in HIV-infected children. The suggested diagnostic and treatment guidelines should improve existing case management and surveillance. Prospective evaluation of management strategies for BCG disease in HIV-infected and HIV-uninfected children is essential.

Background The first wave of COVID-19 in South Africa peaked in July, 2020, and a larger second wave peaked in January, 2021, in which the SARS-CoV-2 501Y.V2 (Beta) lineage predominated. We aimed to compare in-hospital mortality and other patient characteristics between the first and second waves.Methods In this prospective cohort study, we analysed data from the DATCOV national active surveillance system for COVID-19 admissions to hospital from March 5, 2020, to March 27, 2021. The system contained data from all hospitals in South Africa that have admitted a patient with COVID-19. We used incidence risk for admission to hospital and determined cutoff dates to define five wave periods: pre-wave 1, wave 1, post-wave 1, wave 2, and post-wave 2. We compared the characteristics of patients with COVID-19 who were admitted to hospital in wave 1 and wave 2, and risk factors for in-hospital mortality accounting for wave period using random-effect multivariable logistic regression.Findings Peak rates of COVID-19 cases, admissions, and in-hospital deaths in the second wave exceeded rates in the first wave: COVID-19 cases, 240•4 cases per 100 000 people vs 136•0 cases per 100 000 people; admissions, 27•9 admissions per 100 000 people vs 16•1 admissions per 100 000 people; deaths, 8•3 deaths per 100 000 people vs 3•6 deaths per 100 000 people. The weekly average growth rate in hospital admissions was 20% in wave 1 and 43% in wave 2 (ratio of growth rate in wave 2 compared with wave 1 was 1•19, 95% CI 1•18-1•20). Compared with the first wave, individuals admitted to hospital in the second wave were more likely to be age 40-64 years (adjusted odds ratio [aOR] 1•22, 95% CI 1•14-1•31), and older than 65 years (aOR 1•38, 1•25-1•52), compared with younger than 40 years; of Mixed race (aOR 1•21, 1•06-1•38) compared with White race; and admitted in the public sector (aOR 1•65, 1•41-1•92); and less likely to be Black (aOR 0•53, 0•47-0•60) and Indian (aOR 0•77, 0•66-0•91), compared with White; and have a comorbid condition (aOR 0•60, 0•55-0•67).For multivariable analysis, after adjusting for weekly COVID-19 hospital admissions, there was a 31% increased risk of in-hospital mortality in the second wave (aOR 1•31, 95% CI 1•28-1•35). In-hospital case-fatality risk increased from 17•7% in weeks of low admission (<3500 admissions) to 26•9% in weeks of very high admission (>8000 admissions; aOR 1•24, 1•17-1•32).Interpretation In South Africa, the second wave was associated with higher incidence of COVID-19, more rapid increase in admissions to hospital, and increased in-hospital mortality. Although some of the increased mortality can be explained by admissions in the second wave being more likely in older individuals, in the public sector, and by the increased health system pressure, a residual increase in mortality of patients admitted to hospital could be related to the new Beta lineage.

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