OBJECTIVE
To develop a methodology for describing post-acute sequelae of COVID-19 (PASC) phenotypes and determine their role in outpatient practice; to study the most common clinical variants (phenotypes) of PASC, depending on the comorbidities and features of the course of the new coronavirus infection (COVID-19).
MATERIALS AND METHODS
A cross-sectional study involved 665 respondents aged 18 years and older with a history of COVID-19 in 2020—2022. The subjects filled out an online questionnaire with questions about the features of their acute COVID-19 course, the presence of chronic diseases, the signs and symptoms of PACS, and their quality of life. Statistical processing was performed using MS Excel 2021 and Jamovi software.
RESULTS
The mean age of subjects (88.1% females, 11.9% males) was 38 (30; 46) years. Viral pneumonia was diagnosed in 25.3% of patients. Hypertension (24%), obesity (18.6%), and coronary heart disease (6.1%) were the most common comorbidities. In total, 7 main PASC phenotypes were identified. The predominance of a particular phenotype was not statistically significantly associated with gender, hospital admission status, and the presence of a positive PCR test for SARS-CoV-2. Patients with a longer course of COVID-19 (more than 15 days) and those with a history of COVID-associated pneumonia more often had phenotypes with cardiovascular (p=0.009 and p=0.015), neurological (p=0.036 and p=0.039), and gastrointestinal (p=0.05 and p=0.022) disorders. Patients with comorbidities were more likely to have phenotypes with respiratory (p=0.004), cardiovascular (p=0.001), neurological (p=0.0043), and gastrointestinal (p=0.001) disorders.
CONCLUSION
The new coronavirus infection causes damage to many organs and systems, manifested in various symptoms of the post-acute sequelae of COVID-19. The main factors associated with the phenotype of the post-acute sequelae of COVID-19 were concomitant chronic diseases, a history of COVID-associated pneumonia, and the duration of the new coronavirus infection. Identifying post-acute sequelae of COVID-19 phenotypes will optimize patient management and improve their quality of life.