Abstract
Background. Comorbidity in patients with chronic heart failure (CHF) makes a major impact to the course of both the underlying and concomitant diseases, significantly worsens the prognosis and increases mortality from cardiovascular diseases. Improving specialized treatment within the framework of a three-tier model of providing medical care to patients with CHF is a healthcare priority.
Aim. Analysis of the frequency of comorbid conditions in patients with CHF included in the CHF registry in the Tyumen region.
Materials and methods. The study was conducted using the CHF register method, which has been operating in the Tyumen region since January 2020. Medical data from outpatient cards and discharge reports were entered by doctors from 9 polyclinics with an attached population, 1 consultative polyclinic, hospitals, on the basis of which there are outpatient CHF rooms in the structure of polyclinics in the city of Tobolsk, Zavodoukovsk, with. Nizhnyaya Tavda, Yalutorovsk, Tyumen Region, Ural Federal District. The study included medical data of 5741 patients with CHF I–IV functional classes (FC). Gender, clinical-instrumental and laboratory data, non-cardiac and cardiac diseases according to the International Classification of Diseases of the 10th revision were entered into a single map of the CHF registry.
Results. In the study sample of patients with CHF, whose average age was 70.0±9.7 years, 2331 (40.6%) were men and 3410 (59.4%) were women. The most common cardiovascular diseases were: coronary artery disease – 55.4%, HD – 22.5% and HRT – 13.5% of cases. Among concomitant diseases of non-cardiac reasons, diabetes mellitus was most often noted – in 31.5% of cases, chronic kidney disease – in 31.1% and chronic obstructive pulmonary disease – in 10% of cases. Concomitant diseases were more common in patients with CHF of functional classes III–IV.
Conclusion. Maintaining a register of CHF and analyzing register data makes it possible to assess the required volume of medical care, plan the necessary time, material, economic and organizational resources and take into account possible difficulties in diagnosis, treatment and outpatient monitoring.
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