External validation of two clinical prediction models for mortality in COVID-19 patients (4C and NEWS2), in three centers in Medellín, Colombia: Assessing the impact of vaccination over time
•The mortality risk prediction tool 4C is more adequate, in comparison with NEWS2, as a predictor of in-hospital mortality in patients with COVID-19.•The 4C mortality risk score presented a good performance in clinically relevant metrics, with a negative likelihood ratio(LR) of 0.064 (CI 95% 0.01–0....
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Published in: | Infectious diseases now (Online) Vol. 54; no. 5; p. 104921 |
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Abstract | •The mortality risk prediction tool 4C is more adequate, in comparison with NEWS2, as a predictor of in-hospital mortality in patients with COVID-19.•The 4C mortality risk score presented a good performance in clinically relevant metrics, with a negative likelihood ratio(LR) of 0.064 (CI 95% 0.01–0.26) for a score of 4 or less.•The operational characteristics of the prognostic model remained unchanged despite changes during the SARS-CoV2 pandemic, highlighted by vaccination and therapeutic interventions.
External validation of the 4C and NEWS2 scores for the prediction of in-hospital mortality in COVID-19 patients, and evaluation of its operational performance in two time periods: before and after the start of the vaccination program in Colombia.
Retrospective cohort in three high complexity hospitals in the city of Medellín, Colombia, between June 2020 and April 2022.
The areas under the ROC curve (AUC) for the 4C mortality risk score and the NEWS2 were 0.75 (95% CI 0.73–0.78) and 0.68 (95% CI 0.66–0.71), respectively. For the 4C score, the AUC for the first and second periods was 0.77 (95% CI 0.74–0.80) and 0.75 (95% CI 0.71–0.78); whilst for the NEWS2 score, it was 0.68 (95% CI 0.65–0.71) and 0.69 (95% CI 0.64–0.73). The calibration for both scores was adequate, albeit with reduced performance during the second period.
The 4C mortality risk score proved to be the more adequate predictor of in-hospital mortality in COVID-19 patients in this Latin American population. The operational performance during both time periods remained similar, which shows its utility notwithstanding major changes, including vaccination, as the pandemic evolved. |
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AbstractList | •The mortality risk prediction tool 4C is more adequate, in comparison with NEWS2, as a predictor of in-hospital mortality in patients with COVID-19.•The 4C mortality risk score presented a good performance in clinically relevant metrics, with a negative likelihood ratio(LR) of 0.064 (CI 95% 0.01–0.26) for a score of 4 or less.•The operational characteristics of the prognostic model remained unchanged despite changes during the SARS-CoV2 pandemic, highlighted by vaccination and therapeutic interventions.
External validation of the 4C and NEWS2 scores for the prediction of in-hospital mortality in COVID-19 patients, and evaluation of its operational performance in two time periods: before and after the start of the vaccination program in Colombia.
Retrospective cohort in three high complexity hospitals in the city of Medellín, Colombia, between June 2020 and April 2022.
The areas under the ROC curve (AUC) for the 4C mortality risk score and the NEWS2 were 0.75 (95% CI 0.73–0.78) and 0.68 (95% CI 0.66–0.71), respectively. For the 4C score, the AUC for the first and second periods was 0.77 (95% CI 0.74–0.80) and 0.75 (95% CI 0.71–0.78); whilst for the NEWS2 score, it was 0.68 (95% CI 0.65–0.71) and 0.69 (95% CI 0.64–0.73). The calibration for both scores was adequate, albeit with reduced performance during the second period.
The 4C mortality risk score proved to be the more adequate predictor of in-hospital mortality in COVID-19 patients in this Latin American population. The operational performance during both time periods remained similar, which shows its utility notwithstanding major changes, including vaccination, as the pandemic evolved. External validation of the 4C and NEWS2 scores for the prediction of in-hospital mortality in COVID-19 patients, and evaluation of its operational performance in two time periods: before and after the start of the vaccination program in Colombia.OBJECTIVESExternal validation of the 4C and NEWS2 scores for the prediction of in-hospital mortality in COVID-19 patients, and evaluation of its operational performance in two time periods: before and after the start of the vaccination program in Colombia.Retrospective cohort in three high complexity hospitals in the city of Medellín, Colombia, between June 2020 and April 2022.METHODSRetrospective cohort in three high complexity hospitals in the city of Medellín, Colombia, between June 2020 and April 2022.The areas under the ROC curve (AUC) for the 4C mortality risk score and the NEWS2 were 0.75 (95% CI 0.73-0.78) and 0.68 (95% CI 0.66-0.71), respectively. For the 4C score, the AUC for the first and second periods was 0.77 (95% CI 0.74-0.80) and 0.75 (95% CI 0.71-0.78); whilst for the NEWS2 score, it was 0.68 (95% CI 0.65-0.71) and 0.69 (95% CI 0.64-0.73). The calibration for both scores was adequate, albeit with reduced performance during the second period.RESULTSThe areas under the ROC curve (AUC) for the 4C mortality risk score and the NEWS2 were 0.75 (95% CI 0.73-0.78) and 0.68 (95% CI 0.66-0.71), respectively. For the 4C score, the AUC for the first and second periods was 0.77 (95% CI 0.74-0.80) and 0.75 (95% CI 0.71-0.78); whilst for the NEWS2 score, it was 0.68 (95% CI 0.65-0.71) and 0.69 (95% CI 0.64-0.73). The calibration for both scores was adequate, albeit with reduced performance during the second period.The 4C mortality risk score proved to be the more adequate predictor of in-hospital mortality in COVID-19 patients in this Latin American population. The operational performance during both time periods remained similar, which shows its utility notwithstanding major changes, including vaccination, as the pandemic evolved.CONCLUSIONSThe 4C mortality risk score proved to be the more adequate predictor of in-hospital mortality in COVID-19 patients in this Latin American population. The operational performance during both time periods remained similar, which shows its utility notwithstanding major changes, including vaccination, as the pandemic evolved. External validation of the 4C and NEWS2 scores for the prediction of in-hospital mortality in COVID-19 patients, and evaluation of its operational performance in two time periods: before and after the start of the vaccination program in Colombia. Retrospective cohort in three high complexity hospitals in the city of Medellín, Colombia, between June 2020 and April 2022. The areas under the ROC curve (AUC) for the 4C mortality risk score and the NEWS2 were 0.75 (95% CI 0.73-0.78) and 0.68 (95% CI 0.66-0.71), respectively. For the 4C score, the AUC for the first and second periods was 0.77 (95% CI 0.74-0.80) and 0.75 (95% CI 0.71-0.78); whilst for the NEWS2 score, it was 0.68 (95% CI 0.65-0.71) and 0.69 (95% CI 0.64-0.73). The calibration for both scores was adequate, albeit with reduced performance during the second period. The 4C mortality risk score proved to be the more adequate predictor of in-hospital mortality in COVID-19 patients in this Latin American population. The operational performance during both time periods remained similar, which shows its utility notwithstanding major changes, including vaccination, as the pandemic evolved. |
ArticleNumber | 104921 |
Author | Paola Lujan Chavarría, Tania Rincón Acosta, Federico Paula Sánchez Carmona, María Andrea Gallego Aristizabal, Paola Jaimes, Fabián Andrea Salazar Ospina, Paula Mario Barros Liñán, Carlos Isabel Vergara Hernández, Sara Jose Atencia Florez, Carlos |
Author_xml | – sequence: 1 givenname: Paola surname: Andrea Gallego Aristizabal fullname: Andrea Gallego Aristizabal, Paola organization: Department of Internal Medicine, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 2 givenname: Tania surname: Paola Lujan Chavarría fullname: Paola Lujan Chavarría, Tania email: tania.lujan@udea.edu.co organization: Department of Internal Medicine, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 3 givenname: Sara surname: Isabel Vergara Hernández fullname: Isabel Vergara Hernández, Sara organization: Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 4 givenname: Federico surname: Rincón Acosta fullname: Rincón Acosta, Federico organization: Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 5 givenname: María surname: Paula Sánchez Carmona fullname: Paula Sánchez Carmona, María organization: Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 6 givenname: Paula surname: Andrea Salazar Ospina fullname: Andrea Salazar Ospina, Paula organization: Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 7 givenname: Carlos surname: Jose Atencia Florez fullname: Jose Atencia Florez, Carlos organization: Department of Internal Medicine, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 8 givenname: Carlos surname: Mario Barros Liñán fullname: Mario Barros Liñán, Carlos organization: Department of Internal Medicine, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia – sequence: 9 givenname: Fabián surname: Jaimes fullname: Jaimes, Fabián organization: Department of Internal Medicine, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia |
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Cites_doi | 10.1016/j.mayocp.2020.11.024 10.1136/thoraxjnl-2021-217629 10.1007/s00134-021-06524-w 10.7326/M18-1376 10.1136/bmjhci-2020-100267 10.3390/v15010149 10.1136/bmjopen-2021-054700 10.1631/jzus.B2000083 10.1038/s41598-021-97332-1 10.1038/d41586-021-03619-8 10.7326/M14-0698 10.1002/sim.6787 10.1093/ofid/ofac638 10.1136/bmj-2021-069881 10.3390/v12040372 10.1080/23744235.2021.1896777 10.1136/emermed-2020-210624 10.1371/journal.pone.0291212 |
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Keywords | COVID-19 The National Early Warning Score 2 (NEWS2) Mortality 4C Mortality Score Validation studies |
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Snippet | •The mortality risk prediction tool 4C is more adequate, in comparison with NEWS2, as a predictor of in-hospital mortality in patients with COVID-19.•The 4C... External validation of the 4C and NEWS2 scores for the prediction of in-hospital mortality in COVID-19 patients, and evaluation of its operational performance... |
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SubjectTerms | 4C Mortality Score COVID-19 Mortality The National Early Warning Score 2 (NEWS2) Validation studies |
Title | External validation of two clinical prediction models for mortality in COVID-19 patients (4C and NEWS2), in three centers in Medellín, Colombia: Assessing the impact of vaccination over time |
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