Literature DB >> 35110227

Can the Usage of the Chest X-Ray Scoring During Hospitalization in Patients with COVID-19 Predict the Severity of the Disease?

Selma Aydoğan Eroğlu1, Zeynep Çagavi2, Tekin Yıldız1, Zuhal Karakurt1, On Behalf Of Covid Interest Group3.   

Abstract

OBJECTIVE: The prevalence of radiological involvement is considered a poor prognostic factor for coronavirus disease 2019 (COVID- 19). In our study, we aimed to investigate the threshold value of the chest X-ray (CXR) score, which would require the patient to be transferred to the intensive care unit (ICU) through scoring the CXR of COVID-19 patients receiving in-patient treatment.
MATERIAL AND METHODS: The patients that tested positive for COVID-19 on the basis of the polymerase chain reaction (PCR) test, who was hospitalized in our hospital between the dates of March 15 and May 30, 2020, were included in the study. The CXRs of these patients taken during hospitalization were scored. The threshold value of the CXR score of the patients transferred to the ICU was calculated. Patients were grouped according to the threshold value of the CXR score, and demographic data and other recorded parameters were compared.
RESULTS: A total of 301 patients were included in this retrospective cross-sectional study. It was determined that finding of a CXR score threshold value of 5 or above during hospitalization predicted a transfer to the ICU with 90% sensitivity and 80% specificity. The use of broad-spectrum antibiotics, the laboratory parameters (leukocyte, neutrophil, C-reactive protein (CRP), procalcitonin, troponin, D-dimer, ferritin), and rate of transfer to ICU were found to be significantly higher in the group with a CXR score of 5 and above, compared to the group with CXR score below 5 (P < .001 in each).
CONCLUSION: Finding high CXR scores during hospitalization due to COVID-19 may act as a warning in terms of the severity of the disease. It may be beneficial to examine the chest X-ray images during hospitalization with utmost care and take these images into account.

Entities:  

Year:  2021        PMID: 35110227      PMCID: PMC8975310          DOI: 10.5152/TurkThoracJ.2021.21025

Source DB:  PubMed          Journal:  Turk Thorac J        ISSN: 2148-7197


  25 in total

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Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

2.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

3.  Immune-Inflammatory Parameters in COVID-19 Cases: A Systematic Review and Meta-Analysis.

Authors:  Xudong Feng; Shuangshuang Li; Qiang Sun; Jiaqi Zhu; Bo Chen; Maoming Xiong; Guodong Cao
Journal:  Front Med (Lausanne)       Date:  2020-06-09

4.  Feasibility, Reproducibility, and Clinical Validity of a Quantitative Chest X-Ray Assessment for COVID-19.

Authors:  Marcello A Orsi; Giancarlo Oliva; Tahereh Toluian; Carlo Valenti Pittino; Marta Panzeri; Michaela Cellina
Journal:  Am J Trop Med Hyg       Date:  2020-07-02       Impact factor: 2.345

5.  Clinical and Chest Radiography Features Determine Patient Outcomes in Young and Middle-aged Adults with COVID-19.

Authors:  Danielle Toussie; Nicholas Voutsinas; Mark Finkelstein; Mario A Cedillo; Sayan Manna; Samuel Z Maron; Adam Jacobi; Michael Chung; Adam Bernheim; Corey Eber; Jose Concepcion; Zahi A Fayad; Yogesh Sean Gupta
Journal:  Radiology       Date:  2020-05-14       Impact factor: 11.105

6.  Comparative analysis of laboratory indexes of severe and non-severe patients infected with COVID-19.

Authors:  Jinfeng Bao; Chenxi Li; Kai Zhang; Haiquan Kang; Wensen Chen; Bing Gu
Journal:  Clin Chim Acta       Date:  2020-06-06       Impact factor: 3.786

7.  Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis.

Authors:  Sulmaz Ghahramani; Reza Tabrizi; Kamran B Lankarani; Seyyed Mohammad Amin Kashani; Shahla Rezaei; Nazanin Zeidi; Maryam Akbari; Seyed Taghi Heydari; Hamed Akbari; Peyman Nowrouzi-Sohrabi; Fariba Ahmadizar
Journal:  Eur J Med Res       Date:  2020-08-03       Impact factor: 2.175

8.  Clinical laboratory parameters associated with severe or critical novel coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.

Authors:  Jude Moutchia; Pratik Pokharel; Aldiona Kerri; Kaodi McGaw; Shreeshti Uchai; Miriam Nji; Michael Goodman
Journal:  PLoS One       Date:  2020-10-01       Impact factor: 3.240

9.  Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome.

Authors:  Diletta Cozzi; Marco Albanesi; Edoardo Cavigli; Chiara Moroni; Alessandra Bindi; Silvia Luvarà; Silvia Lucarini; Simone Busoni; Lorenzo Nicola Mazzoni; Vittorio Miele
Journal:  Radiol Med       Date:  2020-06-09       Impact factor: 3.469

10.  Impact on disease mortality of clinical, biological, and virological characteristics at hospital admission and overtime in COVID-19 patients.

Authors:  Yazdan Yazdanpanah
Journal:  J Med Virol       Date:  2020-11-10       Impact factor: 20.693

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