The efficacy of convalescent plasma for coronavirus disease 2019 (COVID-19) is unclear. Although most randomized controlled trials have shown negative results, uncontrolled studies have suggested that the antibody content could influence patient outcomes. We conducted an open-label, randomized controlled trial of convalescent plasma for adults with COVID-19 receiving oxygen within 12 d of respiratory symptom onset (NCT04348656). Patients were allocated 2:1 to 500 ml of convalescent plasma or standard of care. The composite primary outcome was intubation or death by 30 d. Exploratory analyses of the effect of convalescent plasma antibodies on the primary outcome was assessed by logistic regression. The trial was terminated at 78% of planned enrollment after meeting stopping criteria for futility. In total, 940 patients were randomized, and 921 patients were included in the intention-to-treat analysis. Intubation or death occurred in 199/614 (32.4%) patients in the convalescent plasma arm and 86/307 (28.0%) patients in the standard of care arm—relative risk (RR) = 1.16 (95% confidence interval (CI) 0.94–1.43, P = 0.18). Patients in the convalescent plasma arm had more serious adverse events (33.4% versus 26.4%; RR = 1.27, 95% CI 1.02–1.57, P = 0.034). The antibody content significantly modulated the therapeutic effect of convalescent plasma. In multivariate analysis, each standardized log increase in neutralization or antibody-dependent cellular cytotoxicity independently reduced the potential harmful effect of plasma (odds ratio (OR) = 0.74, 95% CI 0.57–0.95 and OR = 0.66, 95% CI 0.50–0.87, respectively), whereas IgG against the full transmembrane spike protein increased it (OR = 1.53, 95% CI 1.14–2.05). Convalescent plasma did not reduce the risk of intubation or death at 30 d in hospitalized patients with COVID-19. Transfusion of convalescent plasma with unfavorable antibody profiles could be associated with worse clinical outcomes compared to standard care.
Tuberculosis (TB) causes significant morbidity and mortality in high-income countries with foreign-born individuals bearing a disproportionate burden of the overall TB case burden in these countries. In this review of tuberculosis and migration we discuss the impact of migration on the epidemiology of TB in low burden countries, describe the various screening strategies to address this issue, review the yield and cost-effectiveness of these programs and describe the gaps in knowledge as well as possible future solutions.The reasons for the TB burden in the migrant population are likely to be the reactivation of remotely-acquired latent tuberculosis infection (LTBI) following migration from low/intermediate-income high TB burden settings to high-income, low TB burden countries.TB control in high-income countries has historically focused on the early identification and treatment of active TB with accompanying contact-tracing. In the face of the TB case-load in migrant populations, however, there is ongoing discussion about how best to identify TB in migrant populations. In general, countries have generally focused on two methods: identification of active TB (either at/post-arrival or increasingly pre-arrival in countries of origin) and secondly, conditionally supported by WHO guidance, through identifying LTBI in migrants from high TB burden countries. Although health-economic analyses have shown that TB control in high income settings would benefit from providing targeted LTBI screening and treatment to certain migrants from high TB burden countries, implementation issues and barriers such as sub-optimal treatment completion will need to be addressed to ensure program efficacy.
Strongyloidiasis is a common neglected tropical disease in tropical and sub-tropical climatic zones. At the worldwide level, there is high uncertainty about the strongyloidiasis burden. This uncertainty represents an important knowledge gap since it affects the planning of interventions to reduce the burden of strongyloidiasis in endemic countries. This study aimed to estimate the global strongyloidiasis prevalence. A literature review was performed to obtain prevalence data from endemic countries at a worldwide level from 1990 to 2016. For each study, the true population prevalence was calculated by accounting for the specificity and the sensitivity of testing and age of tested individuals. Prediction of strongyloidiasis prevalence for each country was performed using a spatiotemporal statistical modeling approach. The country prevalence obtained from the model was used to estimate the number of infected people per country. We estimate the global prevalence of strongyloidiasis in 2017 to be 8.1% (95% CI: 4.2–12.4%), corresponding to 613.9 (95% CI: 313.1–910.1) million people infected. The South-East Asia, African, and Western Pacific Regions accounted for 76.1% of the global infections. Our results could be used to identify those countries in which strongyloidiasis prevalence is highest and where mass drug administration (MDA) should be deployed for its prevention and control.
COVID-19 disproportionately affects vulnerable and marginalized populations such as ethnic minorities and migrant groups. In this perspective we review the complex interaction of the many factors driving these inequities and suggest several possible solutions to mitigate the negative impact of COVID-19 on these populations.
Delayed diagnosis of active pulmonary tuberculosis (TB) among hospitalized patients is common and believed to contribute significantly to nosocomial transmission. This study was conducted to define the occurrence, associated patient risk factors, and outcomes among patients and exposed workers of delayed diagnosis of active pulmonary TB. Among 429 patients newly diagnosed to have active pulmonary TB between June 1992 and June 1995 in 17 acute-care hospitals in four Canadian cities, initiation of appropriate treatment was delayed 1 week or more in 127 (30%). This was associated with atypical clinical and demographic patient characteristics, and after adjustment for these characteristics, with admission to hospitals with low TB admission rate of 0.2-3.3 per 10,000 admissions (odds ratio [OR]: 7.4; 95% confidence interval [CI]: 3.2,17.5) or intermediate TB admissions of 3.4-9.9/10,000 (OR: 2.3; CI: 1.6,3.2) as well as potentially preventable (late) intensive care unit admission (OR: 16.8; CI: 2.0,144) and death (OR: 3.3; CI: 1.7,6.5]). In hospitals with low TB admission rates, initially missed diagnosis, smear-positive patients undergoing bronchoscopy, late intensive care unit admission (OR: 2.3; CI: 0.1,56), and death (OR: 3.8; CI: 1.2,12.1) were more common than in hospitals with high TB admissions (> 10/ 10,000); a similar trend was seen in hospitals with intermediate TB admissions. Even after adjustment for workers' characteristics and ventilation in patients' rooms tuberculin conversions were disproportionately high in hospitals with low and intermediate TB admission rates and significantly higher in hospitals with overall TB mortality rate above 10% (OR: 2.5; CI: 1.6,3.7). In the hospitals studied, as the rate of TB admissions decreased, the likelihood of poor outcomes and risk of transmission of TB infection per hospitalized patient with TB increased. Institutional risk of TB transmission was poorly correlated with number of patients with TB and better correlated with indicators of patient care such as delayed diagnosis and treatment and overall TB-related patient mortality.
Background: Strongyloides stercoralis is a parasitic nematode found in humans, with a higher prevalence in tropical and sub-tropical regions worldwide. If untreated, the infection can progress to disseminated strongyloidiasis, a critical illness which may be fatal.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.