Recent literature has reported that radiological features of coronavirus disease (COVID-19) patients are influenced by computed tomography. This study aimed to assess the characteristic chest X-ray features of COVID-19 and correlate them with clinical outcomes of patients. This retrospective study included 120 COVID-19 patients. Baseline chest X-rays and serial chest X-rays were reviewed. A severity index in the form of maximum radiological assessment of lung edema (RALE) score was calculated for each lung, and scores of both the lungs were summed to obtain a final score. The mean ± standard deviation (SD) and frequency (%) were determined, and an unpaired t test, Spearman’s rank correlation coefficient, and logistic regression analyses were performed for statistical analyses. Among 120 COVID-19 patients, 74 (61.67%) and 46 (38.33%) were males and females, respectively; 64 patients (53.33%) had ground-glass opacities (GGO), 55 (45.83%) had consolidation, and 38 (31.67%) had reticular-nodular opacities, with lower zone distribution (50%) and peripheral distribution (41.67%). Baseline chest X-ray showed a sensitivity of 63.3% in diagnosing typical findings of SARS-CoV-2 pneumonia. The maximum RALE score was 2.13 ± 1.9 in hospitalized patients and 0.57 ± 0.77 in discharged patients ( p value <0.0001). Spearman's rank correlation coefficient between maximum RALE score and clinical outcome parameters was as follows: age, 0.721 ( p value <0.00001); >10 days of hospital stay, 0.5478 ( p value <0.05); ≤10 days of hospital stay, 0.5384 ( p value <0.0001); discharged patients, 0.5433 ( p value <0.0001); and death, 0.6182 ( p value = 0.0568). The logistic regression analysis revealed that maximum RALE scores (0.0932 [0.024–0.367]), (10.730 [2.727–42.206]), (1.258 [0.990–1.598]), and (0.794 [0.625–1.009]) predicted discharge, death, >10 days of hospital stay, and ≤10 days of hospital stay, respectively. The study findings suggested that the RALE score can quantify the extent of COVID-19 and can predict the prognosis of patients.
【초록키워드】 COVID-19, coronavirus disease, severity, lung, discharged patients, discharge, Clinical outcome, Computed tomography, Retrospective study, ground-glass opacity, sensitivity, male, Patient, death, Logistic regression, age, chest X-ray, GGO, SARS-CoV-2 pneumonia, distribution, characteristic, consolidation, patients, predict, COVID-19 patients, Frequency, discharged patient, Hospital stay, Logistic regression analysis, statistical analyses, Final, zone, diagnosing, correlation coefficient, lung edema, parameter, deviation, Spearman, females, recent, feature, radiological, predicted, performed, reported, calculated, hospitalized patient, suggested, analysis, prognosis of patients, radiological feature, unpaired t test, 【제목키워드】 clinical, role,