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

被引:0
|
作者
Shaima, Shamsun Nahar [1 ]
Haque, Md Ahshanul [1 ]
Sarmin, Monira [1 ,2 ]
Nuzhat, Sharika [1 ,2 ]
Jahan, Yasmin [1 ]
Matin, Fariha Bushra [1 ]
Shahrin, Lubaba [1 ]
Afroze, Farzana [1 ]
Saha, Haimanti [1 ]
Timu, Rehnuma Tabassum [1 ]
Kamal, Mehnaz [1 ]
Bin Shahid, Abu Sadat Mohammad Sayeem [1 ]
Sultana, Nadia [1 ]
Mamun, Gazi Md. Salahuddin [3 ]
Chisti, Mohammod Jobayer [1 ,2 ,5 ]
Ahmed, Tahmeed [2 ,4 ]
机构
[1] Int Ctr Diarrhoeal Dis Res, Nutr Res Div, Bangladesh icddr b, Dhaka, Bangladesh
[2] Int Ctr Diarrhoeal Dis Res, Clin & Diagnost Serv Div, Bangladesh icddr b, Dhaka, Bangladesh
[3] Int Ctr Diarrhoeal Dis Res, Infect Dis Div, Bangladesh icddr b, Dhaka, Bangladesh
[4] Bangladesh Icddr b, Off Execut Director, Int Ctr Diarrhoeal Dis Res, Dhaka, Bangladesh
[5] Bangladesh icddr b, Dhaka Hosp, Int Ctr Diarrhoeal Dis Res, Nutr Res Div, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka 1212, Bangladesh
来源
SAGE OPEN MEDICINE | 2024年 / 12卷
关键词
Bangladesh; COVID-19; pneumonia; chest X-ray scoring; prediction; mortality; MORTALITY; CT;
D O I
10.1177/20503121231222325
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: 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.Methods: 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.Result: 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, p < 0.001) and a score of >= 5 with death (aOR: 16.53; 95% CI: 4.74, 57.60, p < 0.001) after adjusting age, sex, antibiotic usage before admission, history of fever, cough, diabetes mellitus, hypertension, total leukocytes count and C-reactive protein.Conclusion: Using chest X-ray scoring derived cut-off at admission might help to identify the COVID-19-affected adults who are at risk of severe disease and mortality. This may help to initiate early and aggressive management of such patients, thereby reducing their fatal outcomes.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] The mortality predicting ability of chest X-ray severity scoring systems in COVID-19 pneumonia
    Kodikara, Iroshani
    Galabada, Buddhi Anjani
    Hettiarachchi, Sashikala
    [J]. CEYLON MEDICAL JOURNAL, 2021, 66 (04) : 168 - 176
  • [2] Is chest X-ray severity scoring for COVID-19 pneumonia reliable?
    Abo-Hedibah, Sherif A.
    Tharwat, Nehal
    Elmokadem, Ali H.
    [J]. POLISH JOURNAL OF RADIOLOGY, 2021, 86 : E432 - E439
  • [3] Can the Usage of the Chest X-Ray Scoring During Hospitalization in Patients with COVID-19 Predict the Severity of the Disease?
    Eroglu, Selma Aydogan
    Cagavi, Zeynep
    Yildiz, Tekin
    Karakurt, Zuhal
    [J]. TURKISH THORACIC JOURNAL, 2021, 22 (03): : 190 - 198
  • [4] Chest X-Ray Scoring System in COVID-19 Pneumonia: An Added Value in the Evaluation of the Disease Severity
    Fogante, Marco
    Cavagna, Enrico
    Rinaldi, Giovanni
    [J]. EURASIAN JOURNAL OF MEDICINE AND ONCOLOGY, 2021, 5 (04): : 305 - 310
  • [5] Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning
    Cohen, Joseph Paul
    Dao, Lan
    Morrison, Paul
    Roth, Karsten
    Bengio, Yoshua
    Shen, Beiyi
    Abbasi, Almas
    Hoshmand-Kochi, Mahsa
    Ghassemi, Marzyeh
    Li, Haifang
    Duong, Tim Q.
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2020, 12 (07)
  • [6] Chest X-ray findings monitoring COVID-19 disease course and severity
    Rabab Yasin
    Walaa Gouda
    [J]. Egyptian Journal of Radiology and Nuclear Medicine, 51
  • [7] Chest X-ray findings monitoring COVID-19 disease course and severity
    Yasin, Rabab
    Gouda, Walaa
    [J]. EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2020, 51 (01):
  • [8] The value of chest X-ray and CT severity scoring systems in the diagnosis of COVID-19: A review
    Majrashi, Naif Ali A.
    [J]. FRONTIERS IN MEDICINE, 2023, 9
  • [9] Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study
    Tenda, Eric Daniel
    Yunus, Reyhan Eddy
    Zulkarnaen, Benny
    Yugo, Muhammad Reynalzi
    Pitoyo, Ceva Wicaksono
    Asaf, Moses Mazmur
    Islamiyati, Tiara Nur
    Pujitresnani, Arierta
    Setiadharma, Andry
    Henrina, Joshua
    Rumende, Cleopas Martin
    Wulani, Vally
    Harimurti, Kuntjoro
    Lydia, Aida
    Shatri, Hamzah
    Soewondo, Pradana
    Yusuf, Prasandhya Astagiri
    [J]. JMIR FORMATIVE RESEARCH, 2024, 8
  • [10] Emergency Department Chest X-ray Severity in Patients with COVID-19 Is Associated with Hypoxemia and Clinical Outcomes
    Kotok, D.
    Girard, C.
    Robles, J. Rivera
    Kim, A.
    Shettigar, S.
    Lavina, A.
    Gillenwater, S.
    Hadeh, A.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2021, 203 (09)