PubMed COVID-19 Clinical Care

CONCLUSION: Nursing intervention based on PMT contributes to the improvement of self-management behaviors and self-efficacy, which is conducive to the prognoses of patients.

INTRODUCTION: Patients with cancer may be at a higher risk of experiencing severe complications from coronavirus disease 2019 (COVID-19) than are patients without cancer. This study evaluated the efficacy of REGEN-COV, a combination of the monoclonal

CONCLUSION: The barriers to FCC in the pediatric rehabilitation ward are very diverse due to the long-term course of child disability and long-term interaction of families with rehabilitation centers. Data collection from both families and

Home advantage (HA) regularly occurs in volleyball (Pollard et al., 2017: men: 56.62%, women: 55.26%). Research to date has investigated primarily small samples of mostly female matches and not looked into the potential impact of spectators on HA

To better understand the impact of COVID-19 epidemic on routine vaccination, a cross-sectional study was carried out during non-pharmaceutical intervention period (2020) and mass COVID-19 vaccination period (2021) in Shaanxi province. Data on NIP

CONCLUSION: Our study results suggest that COVID-19 negatively affects the recovery time in patients with spontaneous pneumothorax.

Rapid, reliable, sensitive, portable, and accurate diagnostics are required to control disease outbreaks such as COVID-19 that pose an immense burden on human health and the global economy. Here we developed a loop-mediated isothermal amplification

CONCLUSION: Pre-exposure prophylaxis with tixagevimab/cilgavimab seems safe and lowered the risk of symptomatic SARS-CoV-2 infection by ≈40% in vaccinated subjects with GD who received anti-CD20 therapy. Possible applications in the subset of

The coronavirus disease-2019 (COVID-19) pandemic has placed many restrictions on medical care. The timing of surgical treatment has been particularly affected, with patients experiencing delayed operation dates. This report describes three patients

This paper presents the Transplantation, Adaptation and Creation (TAC) framework, a method for assessing the localization of different elements of an AI system. This framework is applied in the public health context, notably to different types of