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. (April 2022)

• Record Type: Journal Article
• Authors: Lacap, Eduardo M.; Varghese, Abraham; Khamis, Faryal; Al Bahrani, Maher; Al Naamani, Hamed; Kolamban, Shajidmon; Al Dowaiki, Samata; Al Shuaily, Huda Salim
• Is Part Of: International journal of infectious diseases. Volume 117(2022)
• Page Start: 241
• Page End: 246
• Publication Date: 2022-04
• Subjects: SARS-CoV-2 -- COVID-19 -- Clinical score -- Oman -- Intensive care unit -- Risk factor; Communicable diseases -- Periodicals; Communicable Diseases -- Periodicals; Communicable diseases; Periodicals; Electronic journals; 616.9
• DOI: 10.1016/j.ijid.2021.04.069
• Languages: English
• ISSNs: 1201-9712

Abstract

Highlights: Early recognition of patients progressing to critical COVID-19 improves outcomes. A clinical risk score of eight independent predicators for critical disease is proposed. A web application — CoV19-OM ICU — is developed to calculate the risk of ICU admission. CoV19-OM ICU score accuracy reaches 0.85 (95% CI, 0.82–0.88). Abstract: Objective: 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. Materials and methods: 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. Results: 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). Conclusion: 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/ ).