ArticleJournal of clinical imaging science2022
A retrospective study of association of CT severity with clinical profile and outcomes of patients with COVID-19 in the second wave.
Article in Journal of clinical imaging science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Severity of COVID-19 infection in patients with COVID-19 combined with diabetes.Journal of health, population, and nutrition · 2024Article
- Article
- Assessment of lung involvement using HRCT among vaccinated and non-vaccinated elderly COVID-19 patients admitted in a designated hospital, Tamil Nadu - A retrospective study.Journal of family medicine and primary care · 2023Article
- 1-year survival rate of SARS-CoV-2 infected patients with acute respiratory distress syndrome based on ventilator types: a multi-center study.Scientific reports · 2023Observational
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Authors and funding
4 authors.
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Abstract
Objectives: This study aimed to find out the association of CT severity score with demographic and clinical characteristics as well as mortality in the patients who were confirmed to have COVID-19 disease in the second wave. Material and Methods: This retrospective study included collection and assessment of the demographic, clinical, laboratory data, and mortality of the patients, suspected with COVID-19 infection who underwent chest HRCT scan during March to April 2021. The findings of the chest HRCT were retrieved manually from the Medical Records section. Determination of the severity was done by the scoring system that involved the visual evaluation of the affected lobes. Results: CT severity score was mild, moderate, and severe in 21.94%, 41.60%, and 30.48% patients, respectively. Mortality rate was 5.70%. Age of the patients with mild, moderate, and severe CT severity score was significantly more than those with normal severity score (50 vs. 50 vs. 50 vs. 31, Conclusion: CT scans play an important role in guiding physicians with their management plans and can serve as a predictor of disease severity and outcomes.
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