The impact of common chronic diseases on the severity of clinical symptoms of COVID-19
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Department of Medical Biophysics, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland
Corresponding author
Barbara Pietrzyk
Katedra i Zakład Biofizyki Lekarskiej, Wydział Nauk Medycznych w Katowicach ŚUM, ul. Medyków 18, 40-752 Katowice
Ann. Acad. Med. Siles. 2025;79:261-268
KEYWORDS
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ABSTRACT
Introduction:
Most available research on the etiopathogenesis of COVID-19 predominantly focuses on adult populations with chronic diseases in advanced stages – including severe respiratory and cardiovascular disorders, as well as oncological conditions – where correlations with the clinical course of the disease have been observed. The clinical course of COVID-19 is highly variable, ranging from asymptomatic or mild manifestations to severe respiratory and circulatory failure and death. The objective of the study was to assess whether common chronic diseases influence the severity of the clinical symptoms of COVID-19.
Material and Methods:
A retrospective study was conducted on a group of 208 patients between October 2022 and February 2023. An author-designed questionnaire collected data on post-COVID-19 symptoms and their severity (mild, moderate, or severe), frequency, and links to comorbidities. Descriptive statistics were used, with significance set at p < 0.05. Comparisons of variables were made using the χ² test.
Results:
Among the patients, 50.48% had chronic diseases, of which 55% experienced mild symptoms of COVID-19 and 40% experienced moderate symptoms. In the group without chronic diseases (49.52%), mild symptoms were observed in 58% of patients and moderate symptoms in 36%. No significant correlation was found between chronic diseases and the severity of symptoms (p = 0.809).
Conclusions:
No significant correlation was found between mild chronic diseases and the severity of COVID-19 symptoms. The type, severity, and duration of the conditions and the level of viremia influence the prognosis. Further studies are needed to consider additional factors, such as gender and age.
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