PubMed COVID-19 Clinical Care

CONCLUSION: To investigate neurological manifestations of COVID-19, it is essential to employ valid and reliable diagnostic criteria and standard definitions of the factors of interest. Although population-based studies are lacking, well-defined

Predicting which patients are at greatest risk of severe disease from COVID-19 has the potential to improve patient outcomes and improve resource allocation. We developed machine learning models for predicting COVID-19 prognosis from a retrospective

CONCLUSION: PC is an effective and safe treatment method that reduced the operating room and intensive care burden during the exacerbation of the COVID 19 pandemic. Therefore, it seems like a logical option to expand the PC indications at times when

The aim of the present study was to investigate the effects of home confinement/social isolation (i.e., lockdown), imposed to reduce large-scale spread of a disease in the population, on the mental health of individuals. Through an online survey

This cross-sectional survey aims to investigate physician hesitancy in treating COVID-19 patients in Indonesia, particularly among those who have already contracted the disease, along with associated occupational risk factors. The study involved

Since the SARS-CoV-19 pandemic, the possibility of audiological involvement by this virus has been speculated without being able to generate a true cause-effect relationship. The objective of this observational, descriptive cross-sectional study is

People with learning disabilities are known to experience a wide range of health inequalities and have a lower life expectancy than the general population. During the COVID-19 pandemic this extended to higher mortality rates following infection with

Encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID share some clinical and social characteristics. We predicted that this would lead to an increased interaction between pre-pandemic members of an ME/CFS online support community and a

INTRODUCTION: Persistent symptoms after COVID-19 infection ("long COVID") negatively affects almost half of COVID-19 survivors. Despite its prevalence, its pathophysiology is poorly understood, with multiple host systems likely affected. Here, we

CONCLUSION: This study suggests that long covid may be the strongest predictor of neuropsychiatric symptoms amongst people who have been infected with SARS-CoV-2.