PubMed COVID-19 Clinical Care

We investigated whether inconclusive results could be interpreted differently depending on the situation. First, data from retesting of the initial samples from subjects without a confirmed COVID-19 history were analyzed. And by analyzing the results

CONCLUSIONS: Neither day of discharge nor the presence of the COVID-19 pandemic had a significant effect on postoperative outcomes, including urinary retention, after urogynecologic surgery. Same-day discharge is appropriate for most patients.

CONCLUSIONS: Most participants did not regret their decision to undergo social egg freezing but the majority wished they had cryopreserved oocytes at a younger age. This highlights the importance of early education to optimize outcomes and patient

CONCLUSION: We described the microbial population structure changes in three different types of medical institutions using the metagenomic approach during the COVID-19 pandemic. We found that the disinfection measures performed by three healthcare

The severity of SARS-CoV-2 virus infection is mainly related to its respiratory complications. However, it can also lead to a large variety of thromboembolic events. Symptoms may include headache, fever, and neurological disorders. Since 2020, the

Establishing sensitive and targeted analytical methodologies for drug identification in biological fluids as well as screening of treatments that can counteract the most severe COVID-19 infection-related side effects are of utmost importance. Here

A multisite research team proposed a survey to assess burnout among healthcare epidemiologists. Anonymous surveys were disseminated to eligible staff at SRN facilities. Half of the respondents were experiencing burnout. Staffing shortages were a key

CONCLUSIONS: A multidisciplinary team-based model of post-AKI care may facilitate implementation of a patient-centered care plan, improve adherence to best practices, and reduce clinician and patient burden. Individualizing care for AKI survivors

INTRODUCTION: Uninterrupted access to HIV and sexual and reproductive health (SRH) services is essential, particularly in high HIV prevalence settings, to prevent unintended pregnancy and vertical HIV transmission. Understanding the challenges that

The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning