OBJECTIVE

To study the association of post-Covid syndrome (PCS) phenotypes with cardiometabolic risk factors.

MATERIAL AND METHODS

The sample included 270 patients recovering after a new coronavirus infection (COVID-19), 79 without PCS and 191 with PCS. The research considered the anamnesis data, anthropometry, blood pressure (BP) level, clinical and biochemical blood, and clinical urine test parameters. The findings were statistically processed using the SPSS software package (version 13.0).

RESULTS

The indicators that were higher in the PCS group included age — by 1.2 times (p=0.001), BMI — by 1.1 times (p=0.002), waist circumference — by 1.1 times (p=0.001), systolic arterial pressure — by 1.1 times (p=0.021), fasting plasma glucose — by 1.1 times (p<0.001). Cardiovascular diseases before the onset of COVID-19 were 3.2 times more common in the PCS group (p=0.013). Only patients with PCS had a severe acute period of COVID-19. All patients with PCS were divided into 6 phenotypic groups: mixed — 39.8%, cardiovascular — 4.2%, bronchopulmonary — 1.0%, psychoneurological — 26.2%, endocrine — 22.5%, and alopecia — 6.3% phenotype.

CONCLUSION

Convalescents with post-COVID syndrome had higher values of age, BMI, waist circumference, systolic arterial pressure, fasting plasma glucose, and the presence of cardiovascular diseases before COVID-19. Only patients with post-Covid syndrome had a severe acute period of COVID-19. Six phenotypic groups were identified in convalescents with post-COVID syndrome.