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The COVID-19 Assessment for Survival at Admission (CASA) Index: A 12 Months Observational Study.
Bagnato, Gianluca; La Rosa, Daniela; Ioppolo, Carmelo; De Gaetano, Alberta; Chiappalone, Marianna; Zirilli, Natalia; Viapiana, Valeria; Tringali, Maria Concetta; Tomeo, Simona; Aragona, Caterina Oriana; Napoli, Francesca; Lillo, Sara; Irrera, Natasha; Roberts, William Neal; Imbalzano, Egidio; Micari, Antonio; Ventura Spagnolo, Elvira; Squadrito, Giovanni; Gangemi, Sebastiano; Versace, Antonio Giovanni.
Afiliação
  • Bagnato G; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • La Rosa D; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Ioppolo C; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • De Gaetano A; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Chiappalone M; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Zirilli N; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Viapiana V; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Tringali MC; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Tomeo S; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Aragona CO; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Napoli F; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Lillo S; BIOMORF Department, University of Messina, Messina, Italy.
  • Irrera N; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Roberts WN; Department of Medicine, University of Kentucky, Lexington, KY, United States.
  • Imbalzano E; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Micari A; BIOMORF Department, University of Messina, Messina, Italy.
  • Ventura Spagnolo E; Department for Health Promotion and Mother-Child Care, University of Palermo, Palermo, Italy.
  • Squadrito G; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Gangemi S; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
  • Versace AG; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Front Med (Lausanne) ; 8: 719976, 2021.
Article em En | MEDLINE | ID: mdl-34660631
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article