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Validation of a composed covid-19 chest radiography score: The care project
ERJ Open Research ; 6(4):1-9, 2020.
Article | WHO COVID | ID: covidwho-917913
ABSTRACT

Objectives:

The aim of this study was to validate a composed coronavirus disease 2019 (COVID-19) chest radiography score (CARE) based on the extension of ground-glass opacity (GG) and consolidations (Co), separately assessed, and to investigate its prognostic performance

Methods:

COVID-19-positive patients referring to our tertiary centre during the first month of the outbreak in our area and with a known outcome were retrospectively evaluated Each lung was subdivided into three areas and a three-grade score assessing the extension of GG and Co was used The CARE was derived from the sum of the subscores A mixed-model ANOVA with post hoc Bonferroni correction was used to evaluate whether differences related to the referring unit (emergency room, COVID-19 wards and intensive care unit (ICU)) occurred Logistic regression analyses were used to investigate the impact of CARE, patients’ age and sex on the outcome To evaluate the prognostic performance of CARE, receiver operating characteristic curves were computed for the entire stay and at admission only

Results:

A total of 1203 chest radiographs of 175 patients (120 males;mean age 67 81±15 5 years old) were examined On average, each patient underwent 6 8±10 3 radiographs Patients in ICU as well as deceased patients showed higher CARE scores (p<0 05, each) Age, Co and CARE significantly influenced the outcome (p<0 05 each) The CARE demonstrated good accuracy (area under the curve (AUC)=0 736) using longitudinal data as well as at admission only (AUC=0 740) A CARE score of 17 5 during hospitalisation showed 75% sensitivity and 69 9% specificity

Conclusions:

The CARE was demonstrated to be a reliable tool to assess the severity of pulmonary involvement at chest radiography with a good prognostic performance
Full text: Available Collection: Databases of international organizations Database: WHO COVID Type: Article Journal: ERJ Open Research Clinical aspect: Prediction / Prognosis Year: 2020

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Full text: Available Collection: Databases of international organizations Database: WHO COVID Type: Article Journal: ERJ Open Research Clinical aspect: Prediction / Prognosis Year: 2020