tetano
Editor, Senior Moderator
BMJ Open
. 2024 Nov 19;14(11):e083280.
doi: 10.1136/bmjopen-2023-083280. Accuracy of the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among vaccinated and unvaccinated patients infected with Omicron: a cohort study
Corinne M Hohl[SUP] 1 2 [/SUP], David S Yeom[SUP] 3 [/SUP], Justin Yan[SUP] 4 5 [/SUP], Patrick M Archambault[SUP] 6 7 [/SUP], Steven C Brooks[SUP] 8 [/SUP], Laurie J Morrison[SUP] 9 10 [/SUP], Jeffrey Perry[SUP] 11 12 [/SUP], Rhonda Rosychuk[SUP] 13 [/SUP]; CCEDRRN investigators for the Network of Canadian Emergency Researchers and the Canadian Critical Care Trials Group
Collaborators, Affiliations
Objective: The objective is to externally validate and assess the opportunity to update the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among consecutive non-palliative COVID-19 patients infected with Omicron subvariants at a time when vaccinations were widespread.
Design: This observational study validated the CCMS in an external cohort at a time when Omicron variants were dominant. We assessed the potential to update the rule and improve its performance by recalibrating and adding vaccination status in a subset of patients from provinces with access to vaccination data and created the adjusted CCMS (CCMS[SUP]adj[/SUP]). We followed discharged patients for 30 days after their index emergency department visit or for their entire hospital stay if admitted.
Setting: External validation cohort for CCMS: 36 hospitals participating in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN). Update cohort for CCMS[SUP]adj[/SUP]: 14 hospitals in CCEDRRN in provinces with vaccination data.
Participants: Consecutive non-palliative COVID-19 patients presenting to emergency departments.
Main outcome measures: In-hospital mortality.
Results: Of 39 682 eligible patients, 1654 (4.2%) patients died. The CCMS included age, sex, residence type, arrival mode, chest pain, severe liver disease, respiratory rate and level of respiratory support and predicted in-hospital mortality with an area under the curve (AUC) of 0.88 (95% CI 0.87 to 0.88) in external validation. Updating the rule by recalibrating and adding vaccination status to create the CCMS[SUP]adj[/SUP] changed the weights for age, respiratory status and homelessness, but only marginally improved its performance, while vaccination status did not. The CCMS[SUP]adj[/SUP] had an AUC of 0.91 (95% CI 0.89 to 0.92) in validation. CCMS[SUP]adj[/SUP] scores of <10 categorised patients as low risk with an in-hospital mortality of <1.6%. A score>15 had observed mortality of >56.8%.
Conclusions: The CCMS remained highly accurate in predicting mortality from Omicron and improved marginally through recalibration. Adding vaccination status did not improve the performance. The CCMS can be used to inform patient prognosis, goals of care conversations and guide clinical decision-making for emergency department patients with COVID-19.
Keywords: COVID-19; Clinical Decision-Making; Vaccination.
. 2024 Nov 19;14(11):e083280.
doi: 10.1136/bmjopen-2023-083280. Accuracy of the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among vaccinated and unvaccinated patients infected with Omicron: a cohort study
Corinne M Hohl[SUP] 1 2 [/SUP], David S Yeom[SUP] 3 [/SUP], Justin Yan[SUP] 4 5 [/SUP], Patrick M Archambault[SUP] 6 7 [/SUP], Steven C Brooks[SUP] 8 [/SUP], Laurie J Morrison[SUP] 9 10 [/SUP], Jeffrey Perry[SUP] 11 12 [/SUP], Rhonda Rosychuk[SUP] 13 [/SUP]; CCEDRRN investigators for the Network of Canadian Emergency Researchers and the Canadian Critical Care Trials Group
Collaborators, Affiliations
- PMID: 39566942
- DOI: 10.1136/bmjopen-2023-083280
Objective: The objective is to externally validate and assess the opportunity to update the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among consecutive non-palliative COVID-19 patients infected with Omicron subvariants at a time when vaccinations were widespread.
Design: This observational study validated the CCMS in an external cohort at a time when Omicron variants were dominant. We assessed the potential to update the rule and improve its performance by recalibrating and adding vaccination status in a subset of patients from provinces with access to vaccination data and created the adjusted CCMS (CCMS[SUP]adj[/SUP]). We followed discharged patients for 30 days after their index emergency department visit or for their entire hospital stay if admitted.
Setting: External validation cohort for CCMS: 36 hospitals participating in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN). Update cohort for CCMS[SUP]adj[/SUP]: 14 hospitals in CCEDRRN in provinces with vaccination data.
Participants: Consecutive non-palliative COVID-19 patients presenting to emergency departments.
Main outcome measures: In-hospital mortality.
Results: Of 39 682 eligible patients, 1654 (4.2%) patients died. The CCMS included age, sex, residence type, arrival mode, chest pain, severe liver disease, respiratory rate and level of respiratory support and predicted in-hospital mortality with an area under the curve (AUC) of 0.88 (95% CI 0.87 to 0.88) in external validation. Updating the rule by recalibrating and adding vaccination status to create the CCMS[SUP]adj[/SUP] changed the weights for age, respiratory status and homelessness, but only marginally improved its performance, while vaccination status did not. The CCMS[SUP]adj[/SUP] had an AUC of 0.91 (95% CI 0.89 to 0.92) in validation. CCMS[SUP]adj[/SUP] scores of <10 categorised patients as low risk with an in-hospital mortality of <1.6%. A score>15 had observed mortality of >56.8%.
Conclusions: The CCMS remained highly accurate in predicting mortality from Omicron and improved marginally through recalibration. Adding vaccination status did not improve the performance. The CCMS can be used to inform patient prognosis, goals of care conversations and guide clinical decision-making for emergency department patients with COVID-19.
Keywords: COVID-19; Clinical Decision-Making; Vaccination.