Incidence and predictors of long Covid-19 in hospitalized patients: A cohort study

Background Long-term Covid-19 symptoms have the potential to negatively impact health and quality of life. We evaluated the incidence and predictors of long Covid-19 among hospitalized patients. Methods We prospectively collected clinical data of 393 patients diagnosed as Covid-19 positive and admitted to our hospital. At 1-year follow-up, all vital parameters and laboratory investigations were recorded. A multiple logistic regression model was used to determine predictors of long Covid-19. Results Long Covid-19 was found in 34.4% of patients at 1-year follow-up. Most commonly reported symptoms were joint pain (40%), fatigue (33%), and dyspnoea (22.9%). Severity of disease at the time of admission (1.5; 95% Confidence Interval [CI] 1.09-2.2; p=0.01), high body-mass index (BMI) (1.1; 95% CI 1.03-1.13; p=0.003) and increased age (1.02; 95% CI 1.00-1.04; p=0.02) were independent predictors of long Covid-19 on follow-up. Conclusion Almost one-third of patients were diagnosed with long Covid-19 at 1-year follow-up. Severity of disease at the time of admission, increased BMI, and increased age were independent predictors of long Covid-19.