Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients
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 i...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Canadian Journal of Infectious Diseases and Medical Microbiology |
| Online Access: | http://dx.doi.org/10.1155/2021/6326947 |
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| author | Satyanand Sathi Richa Tiwari Savita Verma Anil Kumar Garg Virendra Singh Saini Manoj Kumar Singh Amit Mittal Devinder Vohra |
| author_facet | Satyanand Sathi Richa Tiwari Savita Verma Anil Kumar Garg Virendra Singh Saini Manoj Kumar Singh Amit Mittal Devinder Vohra |
| author_sort | Satyanand Sathi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-85ee5b32129a49dda48d186166f278db |
| institution | Kabale University |
| issn | 1712-9532 1918-1493 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Canadian Journal of Infectious Diseases and Medical Microbiology |
| spelling | doaj-art-85ee5b32129a49dda48d186166f278db2025-02-03T06:12:30ZengWileyCanadian Journal of Infectious Diseases and Medical Microbiology1712-95321918-14932021-01-01202110.1155/2021/63269476326947Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian PatientsSatyanand Sathi0Richa Tiwari1Savita Verma2Anil Kumar Garg3Virendra Singh Saini4Manoj Kumar Singh5Amit Mittal6Devinder Vohra7Department of Medicine, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Radiology, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Obstetrics and Gynaecology, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Medicine, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Medicine, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Medicine, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Community Medicine, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaDepartment of Medicine, S.M.M.H. Government Medical College Saharanpur, Saharanpur, Uttar Pradesh, IndiaRecent 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.http://dx.doi.org/10.1155/2021/6326947 |
| spellingShingle | Satyanand Sathi Richa Tiwari Savita Verma Anil Kumar Garg Virendra Singh Saini Manoj Kumar Singh Amit Mittal Devinder Vohra Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients Canadian Journal of Infectious Diseases and Medical Microbiology |
| title | Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients |
| title_full | Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients |
| title_fullStr | Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients |
| title_full_unstemmed | Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients |
| title_short | Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients |
| title_sort | role of chest x ray in coronavirus disease and correlation of radiological features with clinical outcomes in indian patients |
| url | http://dx.doi.org/10.1155/2021/6326947 |
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