The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study

Objective: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the stratification of patients at risk of mortality is not well defined. In this study, we aimed to define a mortality risk index to allocate patients to the appropriate intensit...

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Main Authors: Gianluca Bagnato, Daniela La Rosa, Carmelo Ioppolo, Alberta De Gaetano, Marianna Chiappalone, Natalia Zirilli, Valeria Viapiana, Maria Concetta Tringali, Simona Tomeo, Caterina Oriana Aragona, Francesca Napoli, Sara Lillo, Natasha Irrera, William Neal Roberts, Egidio Imbalzano, Antonio Micari, Elvira Ventura Spagnolo, Giovanni Squadrito, Sebastiano Gangemi, Antonio Giovanni Versace
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.719976/full
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spelling doaj-e45dcebf4c314f4f89a1bae3a3947d3a2021-09-30T04:52:34ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-09-01810.3389/fmed.2021.719976719976The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational StudyGianluca Bagnato0Daniela La Rosa1Carmelo Ioppolo2Alberta De Gaetano3Marianna Chiappalone4Natalia Zirilli5Valeria Viapiana6Maria Concetta Tringali7Simona Tomeo8Caterina Oriana Aragona9Francesca Napoli10Sara Lillo11Natasha Irrera12William Neal Roberts13Egidio Imbalzano14Antonio Micari15Elvira Ventura Spagnolo16Giovanni Squadrito17Sebastiano Gangemi18Antonio Giovanni Versace19Department of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyBIOMORF Department, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Medicine, University of Kentucky, Lexington, KY, United StatesDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyBIOMORF Department, University of Messina, Messina, ItalyDepartment for Health Promotion and Mother-Child Care, University of Palermo, Palermo, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyDepartment of Clinical and Experimental Medicine, University of Messina, Messina, ItalyObjective: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the stratification of patients at risk of mortality is not well defined. In this study, we aimed to define a mortality risk index to allocate patients to the appropriate intensity of care.Methods: This is a 12 months observational longitudinal study designed to develop and validate a pragmatic mortality risk score to stratify COVID-19 patients aged ≥18 years and admitted to hospital between March 2020 and March 2021. Main outcome was in-hospital mortality.Results: 244 patients were included in the study (mortality rate 29.9%). The Covid-19 Assessment for Survival at Admission (CASA) index included seven variables readily available at admission: respiratory rate, troponin, albumin, CKD-EPI, white blood cell count, D-dimer, Pa02/Fi02. The CASA index showed high discrimination for mortality with an AUC of 0.91 (sensitivity 98.6%; specificity 69%) and a better performance compared to SOFA (AUC = 0.76), age (AUC = 0.76) and 4C mortality (AUC = 0.82). The cut-off identified (11.994) for CASA index showed a negative predictive value of 99.16% and a positive predictive value of 57.58%.Conclusions: A quick and readily available index has been identified to help clinicians stratify COVID-19 patients according to the appropriate intensity of care and minimize hospital admission to patients at high risk of mortality.https://www.frontiersin.org/articles/10.3389/fmed.2021.719976/fullCOVID-19outcome researchmortality riskstratification indexsystemic score
collection DOAJ
language English
format Article
sources DOAJ
author Gianluca Bagnato
Daniela La Rosa
Carmelo Ioppolo
Alberta De Gaetano
Marianna Chiappalone
Natalia Zirilli
Valeria Viapiana
Maria Concetta Tringali
Simona Tomeo
Caterina Oriana Aragona
Francesca Napoli
Sara Lillo
Natasha Irrera
William Neal Roberts
Egidio Imbalzano
Antonio Micari
Elvira Ventura Spagnolo
Giovanni Squadrito
Sebastiano Gangemi
Antonio Giovanni Versace
spellingShingle Gianluca Bagnato
Daniela La Rosa
Carmelo Ioppolo
Alberta De Gaetano
Marianna Chiappalone
Natalia Zirilli
Valeria Viapiana
Maria Concetta Tringali
Simona Tomeo
Caterina Oriana Aragona
Francesca Napoli
Sara Lillo
Natasha Irrera
William Neal Roberts
Egidio Imbalzano
Antonio Micari
Elvira Ventura Spagnolo
Giovanni Squadrito
Sebastiano Gangemi
Antonio Giovanni Versace
The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study
Frontiers in Medicine
COVID-19
outcome research
mortality risk
stratification index
systemic score
author_facet Gianluca Bagnato
Daniela La Rosa
Carmelo Ioppolo
Alberta De Gaetano
Marianna Chiappalone
Natalia Zirilli
Valeria Viapiana
Maria Concetta Tringali
Simona Tomeo
Caterina Oriana Aragona
Francesca Napoli
Sara Lillo
Natasha Irrera
William Neal Roberts
Egidio Imbalzano
Antonio Micari
Elvira Ventura Spagnolo
Giovanni Squadrito
Sebastiano Gangemi
Antonio Giovanni Versace
author_sort Gianluca Bagnato
title The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study
title_short The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study
title_full The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study
title_fullStr The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study
title_full_unstemmed The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study
title_sort covid-19 assessment for survival at admission (casa) index: a 12 months observational study
publisher Frontiers Media S.A.
series Frontiers in Medicine
issn 2296-858X
publishDate 2021-09-01
description Objective: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the stratification of patients at risk of mortality is not well defined. In this study, we aimed to define a mortality risk index to allocate patients to the appropriate intensity of care.Methods: This is a 12 months observational longitudinal study designed to develop and validate a pragmatic mortality risk score to stratify COVID-19 patients aged ≥18 years and admitted to hospital between March 2020 and March 2021. Main outcome was in-hospital mortality.Results: 244 patients were included in the study (mortality rate 29.9%). The Covid-19 Assessment for Survival at Admission (CASA) index included seven variables readily available at admission: respiratory rate, troponin, albumin, CKD-EPI, white blood cell count, D-dimer, Pa02/Fi02. The CASA index showed high discrimination for mortality with an AUC of 0.91 (sensitivity 98.6%; specificity 69%) and a better performance compared to SOFA (AUC = 0.76), age (AUC = 0.76) and 4C mortality (AUC = 0.82). The cut-off identified (11.994) for CASA index showed a negative predictive value of 99.16% and a positive predictive value of 57.58%.Conclusions: A quick and readily available index has been identified to help clinicians stratify COVID-19 patients according to the appropriate intensity of care and minimize hospital admission to patients at high risk of mortality.
topic COVID-19
outcome research
mortality risk
stratification index
systemic score
url https://www.frontiersin.org/articles/10.3389/fmed.2021.719976/full
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