Development and validation of a simplified risk score for the prediction of critical COVID‐19 illness in newly diagnosed patients. Issue 12 (10th August 2021)

• Record Type: Journal Article
• Authors: Werfel, Stanislas; Jakob, Carolin E. M.; Borgmann, Stefan; Schneider, Jochen; Spinner, Christoph; Schons, Maximilian; Hower, Martin; Wille, Kai; Haselberger, Martina; Heuzeroth, Hanno; Rüthrich, Maria M.; Dolff, Sebastian; Kessel, Johanna; Heemann, Uwe; Vehreschild, Jörg J.; Rieg, Siegbert; Schmaderer, Christoph
• Other Names: Luo Guangxiang (George) guestEditor.; Ly Hinh guestEditor.; Gao Shou‐Jiang guestEditor.
• Is Part Of: Journal of medical virology. Volume 93:Issue 12(2021)
• Page Start: 6703
• Page End: 6713
• Publication Date: 2021-08-10
• Subjects: COVID‐19 -- logistic models -- machine learning -- risk factors; Virology -- Periodicals; 616
• DOI: 10.1002/jmv.27252
• Languages: English
• ISSNs: 0146-6615

Abstract

Abstract: Scores to identify patients at high risk of progression of coronavirus disease (COVID‐19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), may become instrumental for clinical decision‐making and patient management. We used patient data from the multicentre Lean European Open Survey on SARS‐CoV‐2‐Infected Patients (LEOSS) and applied variable selection to develop a simplified scoring system to identify patients at increased risk of critical illness or death. A total of 1946 patients who tested positive for SARS‐CoV‐2 were included in the initial analysis and assigned to derivation and validation cohorts ( n = 1297 and n = 649, respectively). Stability selection from over 100 baseline predictors for the combined endpoint of progression to the critical phase or COVID‐19‐related death enabled the development of a simplified score consisting of five predictors: C‐reactive protein (CRP), age, clinical disease phase (uncomplicated vs. complicated), serum urea, and D‐dimer (abbreviated as CAPS‐D score). This score yielded an area under the curve (AUC) of 0.81 (95% confidence interval [CI]: 0.77–0.85) in the validation cohort for predicting the combined endpoint within 7 days of diagnosis and 0.81 (95% CI: 0.77–0.85) during full follow‐up. We used an additional prospective cohort of 682 patients, diagnosed largely after the "first wave" of the pandemic to validate the predictive accuracy of the score and observed similar results (AUC for the event within 7 days: 0.83 [95% CI: 0.78–0.87]; for full follow‐up: 0.82 [95% CI: 0.78–0.86]). An easily applicable score to calculate the risk of COVID‐19 progression to critical illness or death was thus established and validated. Highlights: This study provides a risk score for the progression of COVID‐19 to a critical disease phase or death. Derivation is performed in an untargeted manner from >100 predictors in a multicentre cohort. Validation results suggest good transferability of the score's performance to future cases. The final additive score with only five predictors is easily calculated in clinical routine. The results may assist decisions on hospital admission or benefits of therapeutic interventions