<abstract xmlns="http://www.w3.org/1999/xhtml">

<italic>Background:</italic> Prognostic scores can be used to facilitate better management of patients suffering from life-threatening diseases, provided that they have been tested in the population of interest.
<italic>Aim:</italic> To perform external validation of the 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score.
<italic>Study Design:</italic> Prospective observational Study.
<italic>Methods</italic>: Patients hospitalized with COVID-19 pneumonia in a tertiary hospital in Greece were enrolled in the study. The prognostic scores were calculated based on hospital admission data and ROC curve analysis was performed. We assessed a composite outcome of either in-hospital death or need for invasive ventilation.
<italic>Results</italic>: Both 4C and PRIEST scores showed good discriminative ability with an AUC value of 0.826 (CI 95%: 0.765–0.887) and 0.852 (CI 95%: 0.793–0.910) respectively. Based on the Youden Index the optimal cut-off for the 4C score was 11 (Sensitivity 75%, Specificity 75.5%) and 10 for the PRIEST score (Sensitivity 83% and Specificity 69.4%). Calibration was adequate for both scores, except for the low and very high risk groups in the PRIEST score.
<italic>Conclusion:</italic> The 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score can be used for early identification of patients with poor prognosis in a Greek population cohort hospitalized with COVID-19.
</abstract>

Background: Prognostic scores can be used to facilitate better management of patients suffering from life-threatening diseases, provided that they have been tested in the population of interest.
Aim: To perform external validation of the 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score.
Study Design: Prospective observational Study.
Methods: Patients hospitalized with COVID-19 pneumonia in a tertiary hospital in Greece were enrolled in the study. The prognostic scores were calculated based on hospital admission data and ROC curve analysis was performed. We assessed a composite outcome of either in-hospital death or need for invasive ventilation.
Results: Both 4C and PRIEST scores showed good discriminative ability with an AUC value of 0.826 (CI 95%: 0.765–0.887) and 0.852 (CI 95%: 0.793–0.910) respectively. Based on the Youden Index the optimal cut-off for the 4C score was 11 (Sensitivity 75%, Specificity 75.5%) and 10 for the PRIEST score (Sensitivity 83% and Specificity 69.4%). Calibration was adequate for both scores, except for the low and very high risk groups in the PRIEST score.
Conclusion: The 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score can be used for early identification of patients with poor prognosis in a Greek population cohort hospitalized with COVID-19.

External validation of the 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score in patients hospitalized with COVID-19 pneumonia in Greece

Department of General Practice and Family Medicine

Romanian Journal of Internal Medicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Background: Prognostic scores can be used to facilitate better management of patients suffering from life-threatening diseases, provided that they have been...

External validation of the 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score in patients hospitalized with COVID-19 pneumonia in Greece

Publicado en línea: 23 nov 2022

Páginas: 244 - 249

Recibido: 09 sept 2022

DOI: https://doi.org/10.2478/rjim-2022-0015

Palabras clave
prognosis, risk scores, COVID-19, triage, risk assessment

© 2022 Themistoklis Paraskevas et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

External validation of the 4C Mortality Score and PRIEST COVID-19 Clinical Severity Score in patients hospitalized with COVID-19 pneumonia in Greece

Publicado en línea: 23 nov 2022

Páginas: 244 - 249

Recibido: 09 sept 2022

DOI: https://doi.org/10.2478/rjim-2022-0015

Palabras claveprognosis, risk scores, COVID-19, triage, risk assessment

© 2022 Themistoklis Paraskevas et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
prognosis, risk scores, COVID-19, triage, risk assessment