PubMed COVID-19 Clinical Care

During unprecedented events such as COVID-19, the fabric of society comes under stress and all stakeholders want to increase the predictability of the future and reduce the ongoing uncertainties. In this research, an attempt has been made to model

Renal vein thrombosis (RVT) is a rare condition characterized by the formation of a blood clot in one or both of the renal veins. Bilateral involvement is more common, but when the condition affects only one side, it usually occurs on the left due to

Respiratory syncytial virus (RSV) causes disproportionate morbidity and mortality in vulnerable populations. We tested residents of homeless shelters in Seattle, Washington for RSV in a repeated cross-sectional study as part of community surveillance

CONCLUSIONS: These results may be due to direct host-virus interaction or linked to immune dysregulation, subclinical corneal endotheliitis, or still yet a viral-mediated inflammation.

This study examined differences in mental health characteristics of Veterans who received VA Video Connect (VVC) or audio-only care during initial phases of the COVID-19 pandemic. A cohort of Veterans with primary diagnoses of depressive or anxiety

The purpose of this study was to examine knowledge, professional quality of life, and practices among nurses during the coronavirus disease 2019 (COVID-19) pandemic and explore factors associated with nurses' practice. A total of 167 nurses were

Although reinfections with SARS-CoV-2 have occurred in the United States with increasing frequency, U.S. epidemiologic trends in reinfections and associated severe outcomes have not been characterized. Weekly counts of SARS-CoV-2 reinfections, total

The Social Brain Toolkit is a novel suite of web-based interventions to support people with acquired brain injury and their close others with communication difficulties post-injury. The aim of this study was to investigate potential impacts of the

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COVID-19 is responsible for high mortality, but robust machine learning-based predictors of mortality are lacking. To generate a model for predicting mortality in patients hospitalized with COVID-19 using Gradient Boosting Decision Trees (GBDT). The