%0 Journal Article
%T Portuguese Society of Intensive Care Score for Predicting SARS-CoV-2 Infection Applied to Inpatients with Pneumonia: A Reliable Tool?
%A Ana Alfaiate
%A David Noivo
%A Vera Cl¨¦rigo
%A Vera Dur£¿o
%A Fernando Dur£¿o
%A Margarida Castanho
%A Susana Sousa
%A L¨ªgia Fernandes
%A Paula Duarte
%J Open Journal of Respiratory Diseases
%P 49-60
%@ 2163-9418
%D 2021
%I Scientific Research Publishing
%R 10.4236/ojrd.2021.112005
%X Objectives: Early identification of patients with the novel coronavirus induced-disease 2019 (COVID-19) and pneumonia is
currently challenging. Few data are available on validated scores
predictive of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2)
infection. The Portuguese Society of Intensive Care (PSIC) proposed a risk
score whose main goals were to predict a higher probability of COVID-19 and
optimize hospital resources, adjusting patients¡¯ intervention. This study aimed
to validate the PSIC risk score applied to inpatients with pneumonia. Methods: A retrospective analysis of 207 patients with pneumonia admitted to a
suspected/confirmed SARS-CoV-2 infection
specialized ward (20/03 to 20/05/2020) was performed. Score variables
were analyzed to determine the significance of the independent predictive variables on the probability of a
positive SARS-CoV-2 rRT-PCR test. The binary logistic regression
modeling approach was selected. The best cut-off value was obtained with the
Receiver Operating Characteristic (ROC) curve together with the evaluation of
the discriminatory power through the Area Under the Curve (AUC). Results: The
validation cohort included 145 patients. Typical chest
computed-tomography features (OR, 12.16; 95% CI, 3.32 - 44.50)
and contact with a positive SARS-CoV-2 patient (OR, 6.56;
%K SARS-CoV-2 Infection
%K COVID-19
%K Pneumonia
%K Risk Score
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=109020