Machine learning-based scoring system to predict in-hospital outcomes in patients hospitalized with COVID-19.

Background: The evolution of patients hospitalized with coronavirus disease 2019 (COVID-19) is still hard to predict, even after several months of dealing with the pandemic.

Aims: To develop and validate a score to predict outcomes in patients hospitalized with COVID-19.

Methods: All consecutive adults hospitalized for COVID-19 from February to April 2020 were included in a nationwide observational study.

Characteristics and outcomes of patients hospitalized for COVID-19 in France: The Critical COVID-19 France (CCF) study.

Background: The coronavirus disease 2019 (COVID-19) pandemic has led to a public health crisis. Only limited data are available on the characteristics and outcomes of patients hospitalized for COVID-19 in France.

Aims: To investigate the characteristics, cardiovascular complications and outcomes of patients hospitalized for COVID-19 in France.

History of heart failure in patients with coronavirus disease 2019: Insights from a French registry.

Background: Although cardiovascular comorbidities seem to be strongly associated with worse outcomes in patients with coronavirus disease 2019 (COVID-19), data regarding patients with preexisting heart failure are limited.

Aims: To investigate the incidence, characteristics and clinical outcomes of patients with COVID-19 with a history of heart failure with preserved or reduced ejection fraction.

Methods: We performed an observational multicentre study including all patients hospitalized for COVID-19 across 24 centres in France from 26 February to 20 April 2020.