Plos One
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Meta Analysis
The prognostic value of comorbidity for the severity of COVID-19: A systematic review and meta-analysis study.
With the increase in the number of COVID-19 infections, the global health apparatus is facing insufficient resources. The main objective of the current study is to provide additional data regarding the clinical characteristics of the patients diagnosed with COVID-19, and in particular to analyze the factors associated with disease severity, lack of improvement, and mortality. ⋯ We evaluated the prevalence of some of the most important comorbidities in COVID-19 patients, indicating that some underlying disorders, including hypertension, diabetes, cardiovascular diseases, and chronic kidney disease, can be considered as risk factors for patients with COVID-19 infection. Furthermore, the results show that an elderly male with underlying diseases is more likely to have severe COVID-19.
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Comparative Study
Dexamethasone may improve severe COVID-19 via ameliorating endothelial injury and inflammation: A preliminary pilot study.
Dexamethasone provides benefits in patients with coronavirus disease 2019 (COVID-19), although data regarding immunological profiles and viral clearance are limited. This study aimed to evaluate for differences in biomarkers among patients with severe COVID-19 who did and did not receive dexamethasone. We measured plasma biomarkers of lung epithelial/endothelial injury and inflammation in 31 patients with severe COVID-19 and in 13 controls. ⋯ Both groups exhibited a clinically insignificant increase in the cycle threshold value. Severe COVID-19 may be characterized by more severe endothelial injury and inflammation, and less severe lung epithelial injury. There is a possibility that dexamethasone improved severe COVID-19 and related endothelial injury without delaying viral clearance.
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The U.S. immigration system mandates that persons seeking asylum prove their persecution claim is credible and their fear of returning home is well-founded. However, this population represents a highly trauma-exposed group, with neuropsychiatric symptoms consequent to prior torture or maltreatment that may interfere with cognitive function and their ability to recall their trauma. These memory lapses may be incorrectly perceived by asylum adjudicators as indicators of dishonesty and jeopardize the person's credibility and asylum claim. Our retrospective mixed methods study seeks to present associations between trauma and memory loss in a sample of persons seeking asylum to the U.S. and describe how memory impairments manifest in this trauma-exposed population. ⋯ Stakeholders in the asylum process, spanning the medical, legal and immigration enforcement sectors, must be aware of the interplay of trauma and memory loss and how they might impact immigration proceedings for this vulnerable population.
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Comparative Study
Comparing the fit of N95, KN95, surgical, and cloth face masks and assessing the accuracy of fit checking.
The COVID-19 pandemic has made well-fitting face masks a critical piece of protective equipment for healthcare workers and civilians. While the importance of wearing face masks has been acknowledged, there remains a lack of understanding about the role of good fit in rendering protective equipment useful. In addition, supply chain constraints have caused some organizations to abandon traditional quantitative or/and qualitative fit testing, and instead, have implemented subjective fit checking. Our study seeks to quantitatively evaluate the level of fit offered by various types of masks, and most importantly, assess the accuracy of implementing fit checks by comparing fit check results to quantitative fit testing results. ⋯ Fit is critical to the level of protection offered by respirators. For an N95 respirator to provide the promised protection, it must fit the participant. Performing a fit check via NHS self-assessment guidelines was an unreliable way of determining fit.
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Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19. ⋯ A validated simple clinical prediction rule can promptly and accurately assess the risk for in-hospital mortality, improving triage and the management of patients with COVID-19.