COVID-19 risk index (CRI): a simple and validated emergency department risk score that predicts mortality and the need for mechanical ventilation
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Mohamad Raad1, Sarah Gorgis1, Chelsea Abshire2
1Division of Cardiovascular Diseases, Henry Ford Hospital, Detroit, MI, USA.
Insights
A new COVID-19 risk index (CRI) developed in the emergency department predicts mechanical ventilation or death in hospitalized patients. This validated tool aids in assessing patient risk for severe coronavirus disease 2019 outcomes.
Area of Science:
- Emergency Medicine
- Infectious Diseases
- Clinical Prediction Models
Background:
- Validated emergency department (ED) risk prediction models for coronavirus disease 2019 (COVID-19) are lacking, despite known risk factors for morbidity and mortality.
- Existing models do not adequately capture the specific risks associated with COVID-19 in the ED setting.
Purpose of the Study:
- To develop and externally validate a COVID-19 risk index (CRI) using data from the emergency department.
- To identify key clinical predictors of severe outcomes in hospitalized COVID-19 patients.
Main Methods:
- Retrospective longitudinal cohort study of consecutively hospitalized COVID-19 patients.
- Multivariate regression analysis of ED clinical data to create the CRI.
- External validation using a separate cohort of 1799 patients from the MI-COVID19 database.
Main Results:
- The derivation cohort (1020 patients) identified age ≥ 65, COPD, CKD, cerebrovascular disease, elevated D-dimer, low platelet count, and low SpO2:FiO2 ratio as predictors.
- The CRI achieved an AUC of 0.83 in the derivation cohort and 0.74 in the external validation cohort.
- Calibration analysis demonstrated good agreement between observed and expected outcomes in the validation cohort.
Conclusions:
- The COVID-19 Risk Index (CRI) is a novel, disease-specific tool for assessing the risk of mechanical ventilation or death in hospitalized COVID-19 patients.
- The CRI demonstrates utility in predicting severe outcomes, aiding emergency department risk stratification.
- Ongoing evaluation is recommended as COVID-19 management and outcomes evolve.
Abstract:
Although certain risk factors have been associated with morbidity and mortality, validated emergency department (ED) derived risk prediction models specific to coronavirus disease 2019 (COVID-19) are lacking. The objective of this study is to describe and externally validate the COVID-19 risk index (CRI). A large retrospective longitudinal cohort study was performed to analyze consecutively hospitalized patients with COVID-19. Multivariate regression using clinical data elements from the ED was used to create the CRI. The results were validated with an external cohort of 1799 patients from the MI-COVID19 database. The primary outcome was the composite of the need for mechanical ventilation or inpatient mortality, and the secondary outcome was inpatient mortality. A total of 1020 patients were included in the derivation cohort. A total of 236 (23%) patients in the derivation cohort required mechanical ventilation or died. Variables independently associated with the primary outcome were age ≥ 65 years, chronic obstructive pulmonary disease, chronic kidney disease, cerebrovascular disease, initial D-dimer > 1.1 µg/mL, platelet count < 150 K/µL, and severity of SpO2:FiO2 ratio. The derivation cohort had an area under the receiver operator characteristic curve (AUC) of 0.83, and 0.74 in the external validation cohort Calibration shows close adherence between the observed and expected primary outcomes within the validation cohort. The CRI is a novel disease-specific tool that assesses the risk for mechanical ventilation or death in hospitalized patients with COVID-19. Discrimination of the score may change given continuous updates in contemporary COVID-19 management and outcomes.
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