Demystifying the Risk of Long COVID-19: Clinical, Psychological, and Lung Imaging Abnormalities
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: The objective of this study was to analyse clinical symptoms, quality of life, chest X-rays, and factors associated with post-COVID-19 symptoms. Methods: This prospective cohort study involved hospitalised COVID-19 patients who were followed up until 3 months after discharge. Clinical symptoms, examinations, imaging, etc., were evaluated during admission and 3 months after. Quality of life (QOL) was assessed using the SF-36 questionnaire. Results and Discussion: About 76 adult COVID-19 hospitalised patients were followed up during treatment for up to 3 months. Mortality rate was 30.26%. About 69.81% of patients experienced residual symptoms consisting of 54.71% acute-post-COVID-19, 9.4% ongoing-post-COVID-19, and 5.6% long- COVID-19. The most common residual symptoms were fatigue, dyspnea, myalgia, cough, weakness, anxiety, and headache. Brixia score was higher in deceased and residual symptom groups compared to the no residual symptom group. QOL of post-COVID-19 patients decreased in all domains and was lower in long-COVID-19. Social functioning and pain were domains that differed significantly in all residual symptom groups. Bivariate analysis found that age >50 years (OR=3.472), history of mechanical ventilator use (OR=0.644), and RR ≥ 28 times/minute (OR=3.529) were factors associated with the occurrence of post-COVID-19 syndrome. All degrees of severity during COVID-19 contributed to the occurrence of post-COVID-19 syndrome. Conclusion: Almost 70% of hospitalised post-COVID-19 patients with various severities will experience residual symptoms with decreased quality of life. Several influencing factors are age >50, history of ventilator use, RR ≥28x/minute, and extent of lung abnormalities.
Source: Coronaviruses
Institutions: Universitas Airlangga, Perhimpunan Dokter Paru Indonesia
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4408003533