A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19.

Predictive tools provide a unique opportunity to explain the observed differences in outcome between patients of the COVID-19 pandemic. The aim of this study was to associate individual demographic and clinical characteristics with disease severity in COVID-19 patients and to highlight the importance of machine learning (ML) in disease prognosis. The study enrolled 344 unvaccinated patients with confirmed SARS-CoV-2 infection.

A Case of Rhabdomyolysis and Weaning Failure in a Patient With Severe SARS CoV-2 Infection.

Rhabdomyolysis is an uncommon complication in patients with severe SARS CoV-2 infection. This report presents a case of rhabdomyolysis in a critically ill patient with acute respiratory distress syndrome owing to COVID-19. The clinical manifestations included fever, tea-colored urine because of myoglobinuria, and elevated serum creatine kinase (CK).