Clinical and radiological characteristics of COVID‑19 patients without comorbidities : A single-center study
- PMID: 34081191
- PMCID: PMC8173504
- DOI: 10.1007/s00508-021-01880-5
Clinical and radiological characteristics of COVID‑19 patients without comorbidities : A single-center study
Abstract
Objective: To evaluate the clinical characteristics and detailed imaging features in coronavirus disease 2019 (COVID-19) patients without comorbidities.
Material and methods: This retrospective study included laboratory-confirmed and symptomatic COVID-19 patients without comorbid diseases who were admitted to our second level hospital between March 2020 and September 2020. We assessed the clinical, biochemical and imaging diagnostic parameters on admission. The patients were classified as non-severe and progress to severe group and then the initial parameters were compared.
Results: We enrolled 135 adult COVID-19 patients, 12 progressed to severe disease during hospitalization. Compared to the non-severe group, patients who progressed to severe were older (p < 0.001) and were more likely to manifest coughing (p = 0.011) and have higher lactate dehydrogenase (LDH) levels (p = 0.011). On chest computed tomography (CT) images, multilobar (p = 0.016), peripherally (p = 0.001) distributed mixed ground glass opacities and consolidation (p < 0.001), crazy paving (p = 0.007) and higher total CT severity score (p < 0.001) were significantly associated with severe disease.
Conclusion: Knowledge of the clinical and radiological parameters associated with disease severity might be useful to guide clinical decision-making for COVID-19 patients without comorbidities.
Keywords: COVID-19; Comorbidity; Computed tomography; Risk factor; Severity.
© 2021. Springer-Verlag GmbH Austria, part of Springer Nature.
Conflict of interest statement
S. Ozturk, E. Kurtulus Ozturk and S. Yildiz Kaya declare that they have no competing interests.
Figures



Similar articles
-
[Spatial and temporal distribution and predictive value of chest CT scoring in patients with COVID-19].Zhonghua Jie He He Hu Xi Za Zhi. 2021 Mar 12;44(3):230-236. doi: 10.3760/cma.j.cn112147-20200522-00626. Zhonghua Jie He He Hu Xi Za Zhi. 2021. PMID: 33721937 Chinese.
-
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2.Eur J Nucl Med Mol Imaging. 2020 May;47(5):1275-1280. doi: 10.1007/s00259-020-04735-9. Epub 2020 Feb 28. Eur J Nucl Med Mol Imaging. 2020. PMID: 32107577 Free PMC article.
-
Relationship between chest computed tomography findings and clinical conditions of coronavirus disease (COVID-19): A multicentre experience.Int J Clin Pract. 2021 Sep;75(9):e14459. doi: 10.1111/ijcp.14459. Epub 2021 Jun 22. Int J Clin Pract. 2021. PMID: 34105857
-
Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients.Respir Investig. 2021 Jul;59(4):436-445. doi: 10.1016/j.resinv.2021.02.008. Epub 2021 Mar 19. Respir Investig. 2021. PMID: 33820751 Free PMC article.
-
Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19).Radiology. 2020 Jun;295(3):715-721. doi: 10.1148/radiol.2020200370. Epub 2020 Feb 13. Radiology. 2020. PMID: 32053470 Free PMC article.
Cited by
-
Risk factors for COVID-19 progression and mortality in hospitalized patients without pre-existing comorbidities.J Infect Public Health. 2022 Jan;15(1):13-20. doi: 10.1016/j.jiph.2021.11.012. Epub 2021 Nov 18. J Infect Public Health. 2022. PMID: 34861603 Free PMC article.
-
A Simple Prognostic Score for Critical COVID-19 Derived from Patients without Comorbidities Performs Well in Unselected Patients.J Clin Med. 2022 Mar 25;11(7):1810. doi: 10.3390/jcm11071810. J Clin Med. 2022. PMID: 35407418 Free PMC article.
-
Impact of comorbidities on hospitalised Syrian patients with COVID-19: a retrospective study.BMJ Open. 2023 Mar 20;13(3):e068849. doi: 10.1136/bmjopen-2022-068849. BMJ Open. 2023. PMID: 36940947 Free PMC article.
-
Predictors for COVID-19 Complete Remission with HRCT Pattern Evolution: A Monocentric, Prospective Study.Diagnostics (Basel). 2022 Jun 5;12(6):1397. doi: 10.3390/diagnostics12061397. Diagnostics (Basel). 2022. PMID: 35741206 Free PMC article.
References
-
- WHO. Pneumonia of unknown cause: China. https://www.who.int/csr/don/05-january-2020-pneumonia-of-unkown-cause-ch.... Accessed 13 Feb 2020.
-
- WHO. Coronavirus disease (COVID-19) technical guidance: early investigations. www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidan.... Accessed 15 Feb 2020.
-
- JHWSoE. Coronavirus COVID-19 global cases. gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd402.... Accessed 20 Feb 2020.
-
- deJaegere TMH, Krdzalic J,Fasen BACM, Kwee RM (2020) Radiological Society of North America Chest CT Classification System for Reporting COVID-19 Pneumonia: Interobserver Variability and Correlation with Reverse-Transcription Polymerase Chain Reaction. Radiology: Cardiothoracic Imaging 2 (3):e200213 - PMC - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Medical