Frontiers in Medicine (Sep 2021)

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

  • 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

DOI
https://doi.org/10.3389/fmed.2021.719976
Journal volume & issue
Vol. 8

Abstract

Read online

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.

Keywords