Performance of chest X-ray scoring in predicting disease severity and outcomes of patients hospitalised with COVID-19 in Bangladesh

• Published in: SAGE open medicine 2024-01, Vol.12, p.20503121231222325
• Main Authors: Nahar Shaima, Shamsun, Haque, Md Ahshanul, Sarmin, Monira, Nuzhat, Sharika, Jahan, Yasmin, Bushra Matin, Fariha, Shahrin, Lubaba, Afroze, Farzana, Saha, Haimanti, Timu, Rehnuma Tabassum, Kamal, Mehnaz, Shahid, Abu Sadat Mohammad Sayeem Bin, Sultana, Nadia, Mamun, Gazi Md Salahuddin, Chisti, Mohammod Jobayer, Ahmed, Tahmeed
• Format: Article
• Language: English
• Subjects: Original
• ISSN: 2050-3121; 2050-3121
• DOI: 10.1177/20503121231222325

Evaluation of potential outcomes of COVID-19-affected pneumonia patients using computed tomography scans may not be conceivable in low-resource settings. Thus, we aimed to evaluate the performance of chest X-ray scoring in predicting the disease severity and outcomes of adults hospitalised with COVID-19. This was a retrospective chart analysis consuming data from COVID-19-positive adults who had chest X-ray availability and were admitted to a temporary COVID unit, in Bangladesh from 23rd April 2020 to 15th November 2021. At least one clinical intensivist and one radiologist combinedly reviewed each admission chest X-ray for the different lung findings. Chest X-ray scoring varied from 0 to 8, depending on the area of lung involvement with 0 indicating no involvement and 8 indicating ⩾75% involvement of both lungs. The receiver operating characteristic curve was used to determine the optimum chest X-ray cut-off score for predicting the fatal outcomes. A total of 218 (82.9%) out of 263 COVID-19-affected adults were included in the study. The receiver operating characteristic curve demonstrated the optimum cut-off as ⩾3 and ⩾5 for disease severity and death, respectively. In multivariate logistic regression analysis, a chest X-ray score of ⩾3 was found to be independently associated with disease severity (aOR: 8.70; 95% CI: 3.82, 19.58,