Predictive performance of CT for adverse outcomes among COVID-19 suspected patients: a two-center retrospective study

Authors

  • Begümhan Baysal Department of Radiology, Istanbul Medeniyet University Goztepe Education and Research Hospital, Istanbul, Turkey https://orcid.org/0000-0003-0470-1683
  • Mahmut Bilal Dogan Department of Radiology, Istanbul Medeniyet University Goztepe Education and Research Hospital, Istanbul, Turkey https://orcid.org/0000-0001-7063-7371
  • Mutlu Gulbay Department of Radiology, University of Health Sciences Ankara City Hospital, Ankara, Turkey https://orcid.org/0000-0001-5921-1652
  • Mine Sorkun Department of Radiology, Istanbul Medeniyet University Goztepe Education and Research Hospital, Istanbul, Turkey https://orcid.org/0000-0002-9474-2640
  • Murathan Koksal Department of Radiology, University of Health Sciences Ankara City Hospital, Ankara, Turkey https://orcid.org/0000-0002-5936-2925
  • Aliye Bastug Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences Ankara City Hospital, Ankara, Turkey https://orcid.org/0000-0002-8831-4877
  • Sumeyye Kazancioglu Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences Ankara City Hospital, Ankara, Turkey https://orcid.org/0000-0003-3869-6130
  • Bahadir Orkun Ozbay Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences Ankara City Hospital, Ankara, Turkey https://orcid.org/0000-0003-1681-5821
  • Sacit Icten Department of Chest Disease, Istanbul Medenıyet Unıversıty Goztepe Education And Research Hospital, Istanbul, Turkey https://orcid.org/0000-0002-1043-5185
  • Ferhat Arslan Department of Infectious Diseases and Clinical Microbiology, Istanbul Medeniyet University Goztepe Education and Research Hospital, Istanbul, Turkey https://orcid.org/0000-0001-8554-7651
  • Yasemin Cag Department of Infectious Diseases and Clinical Microbiology, Istanbul Medeniyet University Goztepe Education and Research Hospital, Istanbul, Turkey https://orcid.org/0000-0002-9983-0308
  • Hurrem Bodur Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences Ankara City Hospital, Ankara, Turkey https://orcid.org/0000-0001-7455-1049
  • Haluk Vahaboglu Department of Infectious Diseases and Clinical Microbiology, Istanbul Medeniyet University Goztepe Education and Research Hospital, Istanbul, Turkey

DOI:

https://doi.org/10.17305/bjbms.2020.5466

Keywords:

COVID-19, pandemic, SARS virus, computed tomography, X-rays

Abstract

The aim of the study was to compare the performance of various computed tomography (CT) reporting tools, including zonal CT visual score (ZCVS), the number of involved lobes, and Radiological Society of North America (RSNA) categorization in predicting adverse outcomes among patients hospitalized due to the lower respiratory symptoms during the coronavirus disease 2019 (COVID-19) pandemic. A total of 405 patients admitted with severe respiratory symptoms who underwent a chest CT were enrolled. The primary adverse outcome was intensive care unit (ICU) admission of patients. Predictive performances of reporting tools were compared using the area under the receiver operating characteristic curves (AUC ROC). Among the 405 patients, 39 (9.63%) required ICU support during their hospital stay. At least two or more observers reported a typical and indeterminate COVID-19 pneumonia CT pattern according to RSNA categorization in 70% (285/405) of patients. Among these, 63% (179/285) had a positive polymerase chain reaction (PCR test for the SARS-CoV-2 virus. The median number of lobes involved according to CT was higher in patients who required ICU support (median interquartile range [IQR], 5[3; 5] vs. 3[0; 5]). The median ZCVS score was higher among the patients that subsequently required ICU support (median [IQR], 4[0; 12] vs. 13[5.75; 24]). The bootstrap comparisons of AUC ROC showed significant differences between reporting tools, and the ZCVS was found to be superior (AUC ROC, 71-75%). The ZCVS score at the first admission showed a linear and significant association with adverse outcomes among patients with the lower respiratory tract symptoms during the COVID-19 pandemic.

Predictive performance of CT for adverse outcomes among COVID-19 suspected patients: a two-center retrospective study

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Published

01-12-2021

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Section

Translational and Clinical Research

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How to Cite

1.
Predictive performance of CT for adverse outcomes among COVID-19 suspected patients: a two-center retrospective study. Biomol Biomed [Internet]. 2021 Dec. 1 [cited 2024 Mar. 19];21(6):739-45. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/5466