Predictive performance of emergency department‑specific variables on COVID‑19 pneumonia.

Autor: Hann‑Yee Tan, Yeo, Mathew, Xin‑Ying Tay, Fung, Michael, Kumar, Ranjeev, Say‑Tat Ooi, Amirah, Lina, Ubeynarayana, Chalani Udhyami, Mao, Desmond
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Zdroj: Singapore Medical Journal; Dec2022, Vol. 63 Issue 12, p715-722, 11p
Abstrakt: Introduction: The majority of patients with COVID‑19 infection do not progress to pneumonia. We report emergency department (ED)‑specific variables and evaluate their predictive performance on diagnosis of pneumonia, intensive care unit (ICU) admission and death. Methods: This was a retrospective, single‑centre cohort study of confirmed COVID‑19 patients admitted to a Singapore tertiary hospital. Primary outcome was diagnosis of COVID‑19 pneumonia. Secondary outcomes were ICU admission and/or death. Multivariate logistic regression was used to analyse the predictive performance of ED‑specific variables. Accuracy of continuous variables was measured by area under receiver operating characteristic (ROC) curve. Results: 294 patients were included. Patients with pneumonia were older (52.0 years, P < 0.001) and had higher C‑reactive protein (CRP; 33.8 mg/L, P < 0.001). Patients with indeterminate chest radiograph (CRX) findings were at risk of pneumonia vs. patients with normal CRX (37.5% vs. 4.3%, P < 0.001). Patients admitted to ICU were older (60.0 years, P < 0.001) and had higher CRP (40.0 mg/L, P < 0.001). Diagnosis of COVID‑19 pneumonia was associated with ICU admission and death (30.0% vs 0.39%, P < 0.001). Multivariate logistic regression analysis showed that age (aOR 1.07, P = 0.049), CRP (aOR 1.05, P = 0.006) and CRX findings (aOR 50.00, P < 0.001) had increased odds of pneumonia. ROC curve analysis showed that CRP of 23.3 mg/L was the optimal cut‑off for predicting pneumonia. Conclusion: Older age, higher CRP and CRX findings are associated with COVID‑19 pneumonia, ICU admission and death. Prospective studies should be undertaken to validate these findings. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index