Background: A limited number of studies have exclusively assessed fatigue among post-COVID patients. Our study aimed to assess the persistence and associations of fatigue among COVID-19 survivors after two months of recovery from their primary illness. Method: During hospital admission from August to September, 2020, a total of 373 patients were diagnosed to be suffering from fatigue using Chalder fatigue scale. After obtaining informed written consent, patients were followed up two months later over telephone. A total of 332 participants participated in the interview (36 patients could not be traced and another 5 patient died within two months). Patients were asked to categorize their present fatigue condition based on a simplified questionnaire developed for telephone interview. Result: Among study participants, 62.9% (n=207) were found to be still suffering from fatigue two months after their hospital discharge. A significant association of fatigue was found with age (p=0.000), hypertension (RR: 1.51; CI: 1.15-1.99; p=0.002), diabetes mellitus (RR: 1.45; CI: 1.08-1.95; p=0.010), ischemic heart disease (RR: 2.04; CI: 1.15-3.64; p=0.011), on admission SpO2 (p=0.000), on admission serum ferritin (p=0.000), d-dimer (p=0.000), CRP (p=0.000), and Hb% (p=0.019). Binary logistic regression model revealed significant association of age and on-admission SpO2 with persistence of fatigue. Conclusion: Fatigue is a highly prevalent symptom among the COVID-19 survivors with significant association between fatigue and patients clinical and laboratory markers.

Background: Dyspnea is the most common symptom associated with the COVID-19 caused by novel coronavirus SARS-CoV-2. The aim of this study was to assess the prevalence of dyspnea, observe co-variables, and find predictors of dyspnea after two months of recovery from COVID-19. Methods: This study was conducted in 327 patients and they were asked if they had experienced dyspnea with the COVID-19. Patients’ responses about dyspnea were categorized as being improved, remained the same, or (worsened) two months post-COVID-19. Software “R” was used in this study for statistical computing. The p-value was set <0.05 for all statistical tests. A repeated k-fold cross-validation was used for measuring the accuracy of logistic regression. Results: Of the total 327 participants in the study, 34% had stated that they were suffering from respiratory symptoms even after two months of COVID-19. The study demonstrated that SpO2 (p value <0.03), D-dimer (p value <0.001), serum ferritin (p value <0.006) and the presence of dyspnea are significantly correlated. The repeated k-fold cross-validation method revealed that the prediction performance was around 65%. Conclusion: These findings can be useful for the physicians treating COVID-19 patients after discharge from hospital.