Covid-19: contribution of clinical characteristics and laboratory features for early detection of patients with high risk of severe evolution

The aim of this study was to identify early clinical and laboratory predictive factors of a severe coronavirus disease 2019 (COVID-19). The study revealed clinical and laboratory features able to predict high risk of ICU requirement, or even death, at admission time. These results provide a potential tool for patient’s triage in a context of pandemic

Predictors of Mortality and Effect of Drug Therapies in Mechanically Ventilated Patients With Coronavirus Disease 2019: A Multicenter Cohort Study.

We conducted a multicenter cohort study to determine the effect of drug therapies on survival in mechanically ventilated patients with coronavirus disease 2019. All consecutive adult patients admitted to ICU for coronavirus disease 2019 from March 1, 2020, to April 25, 2020, and under invasive mechanical ventilation for more than 24 hours were included. Out of 2,003 patients hospitalized for coronavirus disease 2019, 361 were admitted to ICU, 257 were ventilated for more than 24 hours, and 247 were included in the study. Simple and multiple time-dependent Cox regression models were used to assess the effects of factors on survival. Methylprednisolone administration during the first week of mechanical ventilation was associated with a decrease in mortality rate from 48% to 34% ( = 0.01). Mortality was significantly associated with older age, higher creatinine, lower lymphocyte count, and mean arterial pressure lower than 70 mm Hg on the day of admission