@article{Liu_A-2023_145973,
title = {Low CRB-65 scores effectively rule out adverse clinical outcomes in COVID-19 irrespective of chest radiographic abnormalities},
author = {Liu, A. and Hammond, R. and Chan, K. and Chukwuenweniwe, C. and Johnson, R. and Khair, D. and Duck, E. and Olubodun, O. and Barwick, K. and Banya, W. and Stirrup, J. and Donnelly, P. and Kaski, J. and Coates, A.},
month = {aug},
year = {2023},
abstract = {Background: CRB-65 ( C onfusion; R espiratory rate ≥ 30/min; B lood pressure ≤ 90/60 mmHg; age ≥ 65 years) is a risk score for prognosticating patients with COVID-19 pneumonia. However, a significant proportion of COVID-19 patients have normal chest X-rays (CXRs). The influence of CXR abnormalities on the prognostic value of CRB-65 is unknown, limiting its wider applicability. Methods: We assessed the influence of CXR abnormalities on the prognostic value of CRB-65 in COVID-19. Results: In 589 study patients (71 years (IQR: 57–83); 57% males), 186 (32%) had normal CXRs. On ROC analysis, CRB-65 performed similarly in patients with normal vs. abnormal CXRs for predicting inpatient mortality (AUC 0.67 ± 0.05 vs. 0.69 ± 0.03). In patients with normal CXRs, a CRB-65 of 0 ruled out mortality, NIV requirement and critical illness (intubation and/or ICU admission) with negative predictive values (NPVs) of 94%, 98% and 99%, respectively. In patients with abnormal CXRs, a CRB-65 of 0 ruled out the same endpoints with NPVs of 91%, 83% and 86%, respectively. Patients with low CRB-65 scores had better inpatient survival than patients with high CRB-65 scores, irrespective of CXR abnormalities (all p &lt; 0.05). Conclusions: CRB-65, CXR and CRP are independent predictors of mortality in COVID-19. Adding CXR findings (dichotomised to either normal or abnormal) to CRB-65 does not improve its prognostic accuracy. A low CRB-65 score of 0 may be a good rule-out test for adverse clinical outcomes in COVID-19 patients with normal or abnormal CXRs, which deserves prospective validation.},
volume = {11},
issue = {9},
journal = {Biomedicines},
publisher = {MDPI},
url = {https://doi.org/10.3390/biomedicines11092423},
}
