Dynamics of clinical manifestations and long-term respiratory outcomes in outpatients with COVID-19 of varying severity
https://doi.org/10.22448/AMJ.2025.1.41-46
EDN: IFIGXN
Abstract
The aim of this study was to conduct a comparative analysis of clinical manifestations of novel coronavirus infection (COVID-19) according to the degree of respiratory system involvement and to assess the frequency of persistent respiratory symptoms during long-term follow-up.
Material and Methods. A prospective cohort study included 177 individuals treated on an outpatient basis at the Amur Regional Healthcare Institution “City Polyclinic No. 4”, Blagoveshchensk, between 2020 and 2025. Three groups were formed: Group 1 – patients with mild viral pneumonia (CT-1, lung parenchyma involvement <25%) associated with COVID-19 (n=67); Group 2 – patients with confirmed SARS-CoV-2 infection and isolated upper respiratory tract involvement without radiological signs of pneumonia (n=60); control group – presumably healthy individuals (n=50). Data collection included symptom assessment, medical history, and physical examination within the first 72 hours of illness, with repeat monitoring after 2 weeks. At 3 and 12 months, patients completed a structured selfassessment questionnaire on post-COVID health status. Dyspnea was evaluated using the modified Medical Research Council (mMRC) scale. Statistical analysis was performed using Pearson’s χ² test and Fisher’s exact test (p <0.05).
Results. During the acute phase, patients in Group 1 experienced significantly higher rates of dyspnea (83.58% vs. 6.67%, p <0.001) and general weakness (100% vs. 86.67%, p <0.01) compared to Group 2. After 2 weeks, dyspnea persisted in 62.69% of Group 1 patients versus 6.67% in Group 2 (p <0.001). Group 2 (p >0.05); at 12 months, these figures were 26.87% and 25%, respectively. Conclusion. The extent of lung tissue involvement during the acute phase of COVID-19 determines the severity of clinical symptoms and the dynamics of respiratory impairments. A phenomenon of increasing dyspnea at 3 months was observed in patients without pneumonia, followed by regression by 12 months.
About the Authors
O. A. AbuldinovaRussian Federation
Olga A. Abuldinova
Blagoveshchensk
O. B. Prikhod'ko
Russian Federation
Olga B. Prikhod'ko
Blagoveshchensk
A. S. Abuldinov
Russian Federation
Anton S. Abuldinov
Blagoveshchensk
References
1. Fernández-de-las-Peñas C., Palacios-Ceña D., Gómez-Mayordomo V., et al. Prevalence of postCOVID-19 symptoms in hospitalized and non-hospitalized COVID-19 survivors: a systematic review and meta-analysis. European Journal of Internal Medicine. 2021; 92: 55–70. DOI: https://doi.org/10.1016/j.ejim.2021.06.009
2. Aldhawyan A.F., Alomran N.K., Alhamad M., et al. Understanding long COVID: prevalence, characteristics, and implications for clinical practice. Frontiers in Medicine. 2024; 11: 1459583. DOI: https://doi.org/10.3389/fmed.2024.1459583
3. Hou Y., Wang W., Xu Z., et al. Global Prevalence of Long COVID, Its Subtypes, and Risk Factors: A Systematic Review and Meta-analysis. Open Forum Infectious Diseases. 2025; 12 (9): ofaf533. DOI: https://doi.org/10.1093/ofid/ofaf533
4. O’Mahoney L.L., Patel K., Jani N., et al. The risk of Long Covid symptoms: a systematic review and meta-analysis of controlled studies. Nature Communications. 2025; 16 (1): 4249. DOI: https://doi.org/10.1038/s41467-025-59012-w
5. Terry P., Hwang S.J., Stärke K., et al. Risk of long COVID in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis. BMJ Open Respiratory Research. 2025; 12 (1): e002528. DOI: https://doi.org/10.1136/bmjresp-2024-002528
6. Fernández-de-las-Peñas C., Martín-Guerrero J.D., Cancela-Cilleruelo I., et al. Exploring the recovery curve for long-term post-COVID dyspnea and fatigue. European Journal of Internal Medicine. 2022; 101: 120–123. DOI: https://doi.org/10.1016/j.ejim.2022.03.036
7. Biswas A., Chatterjee S., Sultana P., et al. Factors Associated With Persistence of Dyspnea and Deterioration in Health-Related Quality of Life in COVID-19 Patients After Discharge. Cureus. 2022; 14 (11): e31265. DOI: https://doi.org/10.7759/cureus.31265
8. Liao Q.Q., Zhu Z.F., Zhu K.W., et al. Symptoms can predict COVID-19 pneumonia in patients infected with SARS-CoV-2 Omicron variants. Scientific Reports. 2024; 14 (1): 30037. DOI: https://doi.org/10.1038/s41598-024-81156-w
9. Oi Y., Kato K., Takeshita N., et al. Prediction of prognosis in patients with severe COVID-19 pneumonia: simple and easy-to-use method based on CT images. Scientific Reports. 2023; 13: 4045. DOI: https://doi.org/10.1038/s41598-023-31312-5
10. Hani C., Trieu N.H., Saab I., et al. COVID-19 pneumonia: A review of typical CT findings and differential diagnosis. Diagnostic and Interventional Radiology. 2020; 101 (5): 263–268. DOI: https://doi.org/10.1016/j.diii.2020.03.010
11. Qian G., Wang X., Patel N.J., et al. Outcomes with and without outpatient SARS-CoV-2 treatment for patients with COVID-19 and systemic autoimmune rheumatic diseases: a retrospective cohort study. Lancet Rheumatology. 2023; 5 (3): e139–e150. DOI: https://doi.org/10.1016/S2665-9913(23)00006-1
12. Gencer A., Coşkun F., Akdemir M.N., et al. Sixminute-walk test follow-up in post-Coronavirus Disease-19 patients: relationship with pulmonary involvement. Cerrahpaşa Medical Journal. 2024; 48 (1): 19–25. DOI: https://doi.org/10.5152/cjm.2024.23059
13. Rahmati M., Keshavarz P., Mirnasuri S., et al. LongTerm Sequelae of COVID-19: A Systematic Review and Meta-Analysis of One-Year Follow-Up Studies on Post-COVID Symptoms. Journal of Medical Virology. 2025; 97 (1): e70429. DOI: https://doi.org/10.1002/jmv.70429
14. Han R., Huang L., Jiang H., et al. Early Clinical and CT Manifestations of Coronavirus Disease 2019 (COVID-19) Pneumonia. American Journal of Roentgenology. 2020; 215 (2): 338–343. DOI: https://doi.org/DOI: 10.2214/AJR.20.22961
15. Abuldinova O.A., Prikhodko O.B., Abuldinov A.S. Dynamics of Functional Parameters of the Respiratory System in Patients with Various Forms of COVID-19. Public Health of the Far East. 2025; 2: 20–25. DOI: https://doi.org/10.33454/1728-1261-2025-2-20-25.
Review
For citations:
Abuldinova O.A., Prikhod'ko O.B., Abuldinov A.S. Dynamics of clinical manifestations and long-term respiratory outcomes in outpatients with COVID-19 of varying severity. Amur Medical Journal. 2025;13(1):41-46. (In Russ.) https://doi.org/10.22448/AMJ.2025.1.41-46. EDN: IFIGXN
JATS XML











