Open AccessA 2‐month post‐ COVID ‐19 follow‐up study on patients with dyspnea
Author(s) -
Islam Md. Khairul,
Hossain Mohammad Faisal,
Molla Md. Maruf Ahmed,
Sharif Md. Mohiuddin,
Hasan Pratyay,
Hossain Fahima Sharmin,
Sikder Ayesha,
Uddin Md Gias,
Amin Md. Robed
Publication year - 2021
Publication title -
health science reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 7
ISSN - 2398-8835
DOI - 10.1002/hsr2.435
Subject(s) - medicine , covid-19 , copd , ferritin , oxygen saturation , severity of illness , respiratory system , pulmonary disease , physical therapy , disease , pediatrics , infectious disease (medical specialty) , chemistry , organic chemistry , oxygen
Background and aims Dyspnea is one of the most common symptoms associated with the COVID‐19 caused by novel coronavirus SARS‐CoV‐2. This study aimed to assess the prevalence of dyspnea, observe co‐variables, and find predictors of dyspnea after 2 months of recovery from COVID‐19. Methods A total of 377 patients were included in the study based on their responses and clinical findings during initial admission to the hospital with COVID‐19. After excluding five deceased patients, a total of 327 patients were interviewed through telephone using a 12‐point dyspnea scale and using relevant questions to gauge the patient clinically. Interviews were carried out by trained physicians, and responses were recorded and stored. All analyses were carried out using the statistical programming language R. Results Of the total 327 participants in the study, 34% had stated that they were suffering from respiratory symptoms even after 2 months of COVID‐19. The study demonstrated that patient oxygen saturation level SpO 2 ( P = .03), D‐dimer ( P = .001), serum ferritin ( P = .006), and the presence and severity of dyspnea are significantly correlated. In addition to that, patient smoking history ( P = .012) and comorbidities such as chronic obstructive pulmonary disease (COPD) ( P = .021) were found to be statistically significant among groups. Conclusion These findings of this study can be useful for predicting and managing long‐term complications of COVID‐19.