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BIBTEX RIS

Development and validation of the CoV19-OM intensive care unit score: An early ICU identification for laboratory-confirmed SARS-CoV-2 patients from a retrospective cohort study in Oman

2021; Elsevier BV; Volume: 117; Linguagem: Inglês

10.1016/j.ijid.2021.04.069

ISSN

1878-3511

Autores

Eduardo M. Lacap, Abraham Varghese, Faryal Khamis, Maher Al Bahrani, Hamed Al Naamani, Shajidmon Kolamban, Samata Al Dowaiki, Huda Salim Al Shuaily,

Tópico(s)

Sepsis Diagnosis and Treatment

Resumo

To develop and validate a clinical score that will identify potential admittance to an intensive care unit (ICU) for a coronavirus disease 2019 (COVID-19) case.The clinical scoring system was developed using a least absolute shrinkage and selection operator logistic regression. The prediction algorithm was constructed and cross-validated using a development cohort of 313 COVID-19 patients, and was validated using an independent retrospective set of 64 COVID-19 patients.The majority of patients were Omani in nationality (n = 181, 58%). Multivariate logistic regression identified eight independent predictors of ICU admission that were included in the clinical score: hospitalization (OR, 1.079; 95% CI, 1.058-1.100), absolute lymphocyte count (OR, 0.526; 95% CI, 0.379-0.729), C-reactive protein (OR, 1.009; 95% CI, 1.006-1.011), lactate dehydrogenase (OR, 1.0008; 95% CI, 1.0004-1.0012), CURB-65 score (OR, 2.666; 95% CI, 2.212-3.213), chronic kidney disease with an estimated glomerular filtration rate of less than 70 (OR, 0.249; 95% CI, 0.155-0.402), shortness of breath (OR, 3.494; 95% CI, 2.528-6.168), and bilateral infiltrates in chest radiography (OR, 6.335; 95% CI, 3.427-11.713). The mean area under a curve (AUC) for the development cohort was 0.86 (95% CI, 0.85-0.87), and for the validation cohort, 0.85 (95% CI, 0.82-0.88).This study presents a web application for identifying potential admittance to an ICU for a COVID-19 case, according to a clinical risk score based on eight significant characteristics of the patient (http://3.14.27.202/cov19-icu-score/).

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