A Clinical Decision Support System for COVID-19 Severity Risk Prediction

A score derived from 299 Chinese COVID-19 patients and validated with 5 international cohorts predicted severe disease better than the pneumonia severity index score.

Risk assessment of COVID-19 patients in a quantitative, nonsubjective way is extremely important for the management of individual patients and for medical resource allocation. Several pneumonia severity assessment scores are well established, e.g. the CRB-65 (confusion, respiratory rate, blood pressure, age ≥65) or the pneumonia severity index (PSI) scores. However, do they perform well for COVID-19 or could a specific score be more predictive? To find out, researchers applied machine learning to derive a prognostic score from the clinical, laboratory, and radiographic parameters of a retrospective cohort of 299 patients with COVID-19 hospitalized in Wuhan, China, from December 23, 2019, to February 13, 2020. The main outcome was the onset …

Reviewing Author

Thomas Glück, MD

Disclosures

Editorial BoardsConsilium Infectiorum by InfectoPharm, Infection

Thomas Glück, MD

Disclosures

Editorial BoardsConsilium Infectiorum by InfectoPharm, Infection

A Clinical Decision Support System for COVID-19 Severity Risk Prediction

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Reviewing Author