Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 9, 2020BMJOpen Access

Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score

View Full Paper
Ask AI
Bookmark
Share

Authors

SKStephen R KnightAHAntonia HoRPRiinu Pius

Discussion

Loading...

Member takes

Overview

Randomized trial validates a risk-stratification score for hospitalized covid-19 patients, demonstrating accurate prediction of in-hospital mortality to guide clinical decisions.

Key Points

  • To develop and validate a pragmatic risk-stratification score (the 4C Mortality Score) to predict in-hospital mortality among patients admitted with covid-19.
  • Interventional trial framework registered under ISRCTN66726260.
  • Utilized data collected through the ISARIC WHO Clinical Characterisation Protocol to establish and validate risk assessment metrics.
  • The 4C Mortality Score effectively categorizes hospitalized covid-19 patients into distinct mortality risk groups based on clinical and physiological variables.
  • The risk stratification model demonstrates strong discrimination and calibration across validation cohorts for predicting in-hospital mortality.

Cite This Study

Knight et al. (2020) studied this question.

synapsesocial.com/papers/69d7d8d1ec32c73b01ae2ff5https://doi.org/10.1136/bmj.m3339
View Full Paper
Ask AI
Bookmark
Share