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The COVID-19 Worsening Score (COWS)-a predictive bedside tool for critical illness.
Boero, Enrico; Rovida, Serena; Schreiber, Annia; Berchialla, Paola; Charrier, Lorena; Cravino, Marta Maria; Converso, Marcella; Gollini, Paola; Puppo, Mattia; Gravina, Angela; Fornelli, Giorgia; Labarile, Giulia; Sciacca, Santi; Bove, Tiziana; Karakitsos, Dimitrios; Aprà, Franco; Blaivas, Michael; Vetrugno, Luigi.
  • Boero E; Department of Surgery, Anesthesia and Intensive Care, Ospedale San Giovanni Bosco, Torino, Italy.
  • Rovida S; Department of Anesthesia and Intensive Care Unit, Saint Bartholomew's Hospital, Barts NHS Trust, London, UK.
  • Schreiber A; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
  • Berchialla P; St Michael's Hospital Li Ka Shing Knowledge Institute, Keenan Research Centre, Toronto, ON, Canada.
  • Charrier L; Department of Clinical and Biological Sciences, University of Torino, Torino, Italy.
  • Cravino MM; Department of Public Health and Pediatrics, University of Torino, Torino, Italy.
  • Converso M; Department of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
  • Gollini P; Department of Medicine, High Dependency Unit, Ospedale San Giovanni Bosco, Torino, Italy.
  • Puppo M; Department of Services, Radiology, Ospedale San Giovanni Bosco, Torino, Italy.
  • Gravina A; Department of Surgical Sciences, University of Torino, Torino, Italy.
  • Fornelli G; Department of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
  • Labarile G; Department of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
  • Sciacca S; Department of Medical Sciences, University of Torino, Torino, Italy.
  • Bove T; Department of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
  • Karakitsos D; Department of Medicine, University of Udine, Udine, Italy.
  • Aprà F; Critical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
  • Blaivas M; School of Medicine, Univ South Carolina, Columbia, SC, USA.
  • Vetrugno L; Critical Care Department, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
Echocardiography ; 38(2): 207-216, 2021 02.
Article in English | MEDLINE | ID: covidwho-1045720
ABSTRACT

OBJECTIVES:

To evaluate the accuracy of a new COVID-19 prognostic score based on lung ultrasound (LUS) and previously validated variables in predicting critical illness.

METHODS:

We conducted a single-center retrospective cohort development and internal validation study of the COVID-19 Worsening Score (COWS), based on a combination of the previously validated COVID-GRAM score (GRAM) variables and LUS. Adult COVID-19 patients admitted to the emergency department (ED) were enrolled. Ten variables previously identified by GRAM, days from symptom onset, LUS findings, and peripheral oxygen saturation/fraction of inspired oxygen (P/F) ratio were analyzed. LUS score as a single predictor was assessed. We evaluated GRAM model's performance, the impact of adding LUS, and then developed a new model based on the most predictive variables.

RESULTS:

Among 274 COVID-19 patients enrolled, 174 developed critical illness. The GRAM score identified 51 patients at high risk of developing critical illness and 132 at low risk. LUS score over 15 (range 0 to 36) was associated with a higher risk ratio of critical illness (RR, 2.05; 95% confidence interval [CI], 1.52-2.77; area under the curve [AUC], 0.63; 95% CI 0.676-0.634). The newly developed COVID-19 Worsening Score relies on five variables to classify high- and low-risk patients with an overall accuracy of 80% and negative predictive value of 93% (95% CI, 87%-98%). Patients scoring more than 0.183 on COWS showed a RR of developing critical illness of 8.07 (95% CI, 4.97-11.1).

CONCLUSIONS:

COWS accurately identify patients who are unlikely to need intensive care unit (ICU) admission, preserving resources for the remaining high-risk patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tomography, X-Ray Computed / Critical Illness / Pandemics / COVID-19 / Intensive Care Units Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Echocardiography Journal subject: Cardiology / Diagnostic Imaging Year: 2021 Document Type: Article Affiliation country: Echo.14962

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tomography, X-Ray Computed / Critical Illness / Pandemics / COVID-19 / Intensive Care Units Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Echocardiography Journal subject: Cardiology / Diagnostic Imaging Year: 2021 Document Type: Article Affiliation country: Echo.14962