PubMed COVID-19 Clinical Care

CONCLUSION: We conclude that there may be an inverse relationship between COVID-19 severity and arthritis severity, possibly due to weaker immunity conditions following immunosuppressant treatments in patients with severe COVID-19.

CONCLUSION: cardiological involvement in hospitalized children with MIS-C is frequent. Our series showed nonspecific and transitory symptoms, and hemodynamic compromise which responded early to medical treatment, with a favorable evolution. The

CONCLUSION: COVID-19 is a viral disease that affects organ including gonads. COVID-19 infection decreased testosterone levels and increased E2 levels, which leading to disorders in male and female reproductivity.

CONCLUSION: Before and after treatment for AMN, the luminal component may have increased with improvement of acute choroidal circulatory disturbance caused by SARS-CoV-2, and increased stromal components may be due to chronic inflammation and tissue

CONCLUSION: The choice of safely managed remote care or in-person consultation has, to date, largely relied on the discretion of the clinician. A carefully designed clinical decision-making tool for the management of upper limb trauma is needed for

CONCLUSIONS: In our case series, patients with shock phenotype were the most frequent and had worse clinical outcomes. Active surveillance of clinical phenotypes is needed to make an early diagnosis and management to improve the prognosis in these

CONCLUSION: The prognosis of COVID-19-related SSNHL was associated with inflammation. SII, NLR and CRP could serve as predictive markers of unfavorable outcomes in COVID-19-related SSNHL. SII may be considered an independent risk factor for poor

The COVID-19 pandemic has impacted many facets of human behavior, including human mobility partially driven by the implementation of non-pharmaceutical interventions (NPIs) such as stay at home orders, travel restrictions, and workplace and school

CONCLUSIONS: Much of the literature for post-infectious screening and follow-up focuses on patients with a history of moderate to severe COVID-19 disease, emphasising the need for surveillance for the potential development of myocarditis. In this

CONCLUSION: This study provides useful insights for academics and clinicians studying COVID-19 using ML. Through bibliometric data analysis, scholars can learn about highly recognized and productive authors and countries, as well as the publications