Question clinique
Can data predict mortality in people hospitalized with COVID-19?
L’Essentiel
Clinical data and laboratory values can predict mortality in patients hospitalized with COVID-19. 2c
Référence
Plan de l'etude: Qualitative
Financement:
Cadre: Population-based
Sommaire
Research Brief #63: This consortium of researchers used data from 35,463 patients hospitalized with COVID-19 to develop a clinical score — the Coronavirus Clinical Characterisation Consortium Mortality Score (4C Mortality Score) — to predict mortality, then validated it on another sample of 22,361 patients. All the patients were adults admitted to one of 260 hospitals in England, Scotland, and Wales. The authors used robust approaches to guide this development and validation process. From 41 candidate variables, the final model (0 to 21 points) included age, sex, number of comorbidities, respiratory rate, oxygen saturation, level of consciousness, urea level, and C-reactive protein level. The overall mortality rate was 32% in the development cohort and 30% in the validation cohort. In the validation cohort, the model was 77% accurate, which the authors report is better than other scores. The model was generally best at ruling out mortality than ruling it in. Finally, the score has limited applicability and would not be useful in the community setting with patients at lower risk of death, since well over half the study patients were in a high-risk group.
Reviewer
Henry C. Barry, MD, MS
Professor
Michigan State University
East Lansing, MI
Commentaires
score
this is not helpful in clinical practise; we need to be focusing on survival !
covid 19
I would have liked to see what the actual criteria for the score system were. What value was given to each criteria. I guess I have to find the actual study to learn that. Too general, lacking the specific points that could make it relevant
mortality
For my patients in the office, their frailty index is the most useful for me.
mortality probability in pts with covid
the calulation index is more accurate in more severely ill pts