Carbohydrate metabolism disorders in patients with heart failure: data from the local registry

Aim. To study the prevalence of carbohydrate metabolism disorders in patients with heart failure (HF) hospitalized in the city HF center. Material and methods. According to the local registry, the study sequentially included 183 patients (99 men and 84 women) hospitalized in the Nizhny Novgorod city HF center from September 1, 2019. The examination and treatment were carried out in accordance with the current clinical guidelines. In the first 48 hours after hospitalization, the concentration of the N-terminal pro-brain natriuretic peptide, soluble stimulating growth factor 2 (sST2), neutrophil gelatinase-associated lipocalin, cystatin C, blood creatinine was determined. The glomerular filtration rate was calculated using the СKDEPI equation. To assess the carbohydrate metabolism disorders, all patients were studied for fasting plasma glucose, glycated hemoglobin (HbA1c) and fructosamine. Statistical data processing was carried out using the R statistics package (R Core Team (2019)). Results. The incidence of carbohydrate metabolism disorders among patients withdecompensated HF was 75,89%, including previously diagnosed type 2 diabetes in 31,25%, newly diagnosed dysglycemia in 44,64% of patients. Less than one fourth of patients had normal parameters of carbohydrate metabolism according to HbA1c, fructosamine and fasting plasma glucose. The severity of carbohydrate metabolism disorders was significantly correlated with the severity of HF according to the following criteria: 6-minute walk test, HF functional class, sST2 level, and some parameters of cardiac remodeling. Among the criteria used for carbohydrate metabolism disorders, the HbA1c level was most closely associated with the criteria for HF severity. Conclusion. Carbohydrate metabolism disorders in HF patients are widespread and underdiagnosed during routine examination. The interrelation of carbohydrate metabolism parameters and indicators of HF severity is rationale for active detection of dysglycemia in these patients in order to potentially influence the prognosis.