Remdesivir and Mortality in Patients With Coronavirus Disease 2019.

BACKGROUND: The impact of remdesivir (RDV) on mortality rates in coronavirus disease 2019 (COVID-19) is controversial, and the mortality effect in subgroups of baseline disease severity has been incompletely explored. The purpose of this study was to assess the association of RDV with mortality rates in patients with COVID-19. METHODS: In this retrospective cohort study we compared persons receiving RDV with those receiving best supportive care (BSC). Patients hospitalized between 28 February and 28 May 2020 with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection were included with the development of COVID-19 pneumonia on chest radiography and hypoxia requiring supplemental oxygen or oxygen saturation ≤94% with room air. The primary outcome was overall survival, assessed with time-dependent Cox proportional hazards regression and multivariable adjustment, including calendar time, baseline patient characteristics, corticosteroid use, and random effects for hospital. RESULTS: A total of 1138 patients were enrolled, including 286 who received RDV and 852 treated with BSC, 400 of whom received hydroxychloroquine. Corticosteroids were used in 20.4% of the cohort (12.6% in RDV and 23% in BSC). Comparing persons receiving RDV with those receiving BSC, the hazard ratio (95% confidence interval) for death was 0.46 (.31-.69) in the univariate model (P < .001) and 0.60 (.40-.90) in the risk-adjusted model (P = .01). In the subgroup of persons with baseline use of low-flow oxygen, the hazard ratio (95% confidence interval) for death in RDV compared with BSC was 0.63 (.39-1.00; P = .049). CONCLUSION: Treatment with RDV was associated with lower mortality rates than BSC. These findings remain the same in the subgroup with baseline use of low-flow oxygen.

Treatment outcomes of TB-infected individuals attending public sector primary care clinics in rural Liberia from 2015 to 2017: a retrospective cohort study.

OBJECTIVES: In June 2015, Partners in Health (PIH) and the Liberian Ministry of Health began a community health worker (CHW) programme containing food support, reimbursement of transport and social assistance to address gaps in tuberculosis (TB) treatment exacerbated by the 2014-2015 Ebola virus disease (EVD) epidemic. The purpose of this article was to analyse the performance of routine clinical TB care and the effects of this CHW programme. METHODS: Retrospective cohort study utilising data from TB patient registers at a census of all health facilities treating TB in the south-east region of Liberia from January 2015 - April 2017. Competing risks Cox regression analyses were used to generate subhazard ratios (sHR) analysing factors associated with rates of TB cure (smear negative), treatment completion (no smear), lost to follow-up (LTFU) and death. RESULTS: LTFU rates decreased 76% pre- vs. post-CHW intervention, from 14.6% in pre-intervention to 3.4% post-intervention (P < 0.001). Although the post-intervention had better cure rates (sHR 1.07, CI 0.58-1.9), treatment completion (sHR 1.53, CI 1.00 2.39) and lower death rates (sHR 0.64, CI 0.34-1.2), statistical significance was not reached. Younger patients had significantly lower death and cure rates, while older patients had higher LTFU and cure rates. Overall, 31% of patients were cured, 44% completed treatment without a confirmatory smear, 5% were LTFU, 9% died, 0.5% failed treatment, and 10% transferred out. CONCLUSIONS: In challenging environments, LTFU can be reduced by CHW accompaniment and socio-economic assistance to patients with TB. Approaches are needed to improve cure verification in young patients and reduce mortality.

A Community Health Worker Intervention for Diabetes Self-Management Among the Tz'utujil Maya of Guatemala.

Despite the high prevalence of diabetes in rural Guatemala, there is little education in diabetes self-management, particularly among the indigenous population. To address this need, a culturally relevant education intervention for diabetic patients was developed and implemented in two rural communities in Guatemala. An evaluative research project was designed to investigate if the structured, community-led diabetes self-management intervention improved selected health outcomes for participants. A one-group, pretest-posttest design was used to evaluate the effectiveness of the educational intervention by comparing measures of health, knowledge, and behavior in patients pre- and postintervention. A survey instrument assessed health beliefs and practices and hemoglobin A1c (HgA1c) measured blood glucose levels at baseline and 4 months post initiation of intervention (n = 52). There was a significant decrease (1.2%) in the main outcome measure, mean HgA1c from baseline (10.1%) and follow-up (8.9%; p = .001). Other survey findings were not statistically significant. This study illustrates that a culturally specific, diabetes self-management program led by community health workers may reduce HgA1c levels in rural populations of Guatemala. However, as a random sample was not feasible for this study, this finding should be interpreted with caution. Limitations unique to the setting and patient population are discussed in this article.