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Updated: Jun 30, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Age and chest computed tomography severity score are predictors of long-COVID
1University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Department of Radiology, Bursa, Turkey.
Age and chest CT severity score are key predictors of long-COVID. These factors can help identify patients at higher risk for developing persistent symptoms after acute coronavirus disease 2019 (COVID-19).
Area of Science:
- Medical Research
- Pulmonology
- Infectious Diseases
Background:
- Approximately one-third of coronavirus disease 2019 (COVID-19) survivors experience long-term symptoms, a condition known as long-COVID.
- Factors like age and COVID-19 severity influence long-COVID development.
- Initial damage from acute COVID-19 can manifest in blood assays and chest CT scans.
Purpose of the Study:
- To investigate the association between initial blood assay and chest CT findings and the development of long-COVID.
- To identify predictors of long-COVID among patients hospitalized with acute COVID-19.
Main Methods:
- A cohort of patients with acute COVID-19 was studied.
- Laboratory tests and chest CT scans were performed upon hospital admission.
- A multivariable regression model was used to determine factors independently associated with long-COVID.
Main Results:
- The study included 60 patients with long-COVID and 97 without.
- Age and chest CT severity score were significantly different between groups.
- Multivariable analysis revealed that chest CT severity score (OR: 1.059) and age (OR: 0.953) were independently associated with long-COVID.
Conclusions:
- Higher chest CT severity scores and older age are independently associated with an increased risk of developing long-COVID.
- These parameters may serve as valuable tools for predicting long-COVID risk in patients recovering from acute COVID-19.
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