Author: 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
Title: Development and validation of a simplified risk score for the prediction of critical COVIDâ€19 illness in newly diagnosed patients Cord-id: et4yuiup Document date: 2021_8_10
ID: et4yuiup
Snippet: Scores to identify patients at high risk of progression of coronavirus disease (COVIDâ€19), caused by the severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2), may become instrumental for clinical decisionâ€making and patient management. We used patient data from the multicentre Lean European Open Survey on SARSâ€CoVâ€2â€Infected Patients (LEOSS) and applied variable selection to develop a simplified scoring system to identify patients at increased risk of critical illness or de
Document: Scores to identify patients at high risk of progression of coronavirus disease (COVIDâ€19), caused by the severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2), may become instrumental for clinical decisionâ€making and patient management. We used patient data from the multicentre Lean European Open Survey on SARSâ€CoVâ€2â€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 SARSâ€CoVâ€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 COVIDâ€19â€related death enabled the development of a simplified score consisting of five predictors: Câ€reactive protein (CRP), age, clinical disease phase (uncomplicated vs. complicated), serum urea, and Dâ€dimer (abbreviated as CAPSâ€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 followâ€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 followâ€up: 0.82 [95% CI: 0.78–0.86]). An easily applicable score to calculate the risk of COVIDâ€19 progression to critical illness or death was thus established and validated.
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