Development and validation of a prediction model for 30-day mortality in hospitalised patients with COVID-19: the COVID-19 SEIMC score.

ABSTRACT:

Objective

To develop and validate a prediction model of mortality in patients with COVID-19 attending hospital emergency rooms.

Design

Multivariable prognostic prediction model.

Setting

127 Spanish hospitals.

Participants

Derivation (DC) and external validation (VC) cohorts were obtained from multicentre and single-centre databases, including 4035 and 2126 patients with confirmed COVID-19, respectively.

Interventions

Prognostic variables were identified using multivariable logistic regression.

Main outcome measures

30-day mortality.

Results

Patients' characteristics in the DC and VC were median age 70 and 61 years, male sex 61.0% and 47.9%, median time from onset of symptoms to admission 5 and 8 days, and 30-day mortality 26.6% and 15.5%, r

SUBMITTER: Berenguer J 

PROVIDER: S-EPMC7908055 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature