Phenotypic differentiation of patients with chronic heart failure

Author:

Voronina L. P.1,Polunina O. S.1,Bashkina O. A.1,Polunina E. A.1,Prokofieva T. V.1

Affiliation:

1. Astrakhan State Medical University

Abstract

Objective. According to the results of a complex analysis of gender-anamnestic, clinical, biochemical and instrumental parameters using the cluster analysis method to identify phenotypes of chronic heart failure (CHF) in the examined patients.Materials and methods. It was examined 345 patients with CHF with different left ventricular ejection fraction and 60 somatically healthy volunteers. For the study, groups of indicators were formed that most widely characterize the pathogenesis of CHF: gender-anamnestic and clinical, instrumental (echocardiographic study, study of the functional state of the vascular endothelium and skin microcirculation, calculation of the volume fraction of interstitial collagen), biochemical parameters of the functional state of the vascular endothelium, collagen balance, inflammation and oxidative stress.Results. After the cluster analysis by the methods of hierarchical classification and k-means, we identified 4 clusters/phenotypes of CHF: fibrous-rigid, fibrous-inflammatory, inflammatory-destructive and dilatation-maladaptive. According to the results of the analysis of variance were identified 27 of the 48 indicators in which the level of statistical significance of intergroup differences (for the Fisher test) was less than 0.05, that is, indicators that make the greatest contribution to the division of patients with CHF into phenotypic groups.Conclusion. Our analysis with the release of phenotypes indicates that patients with CHF with different phenotypes have clinical and pathogenetic features. The data obtained in the future can be used to determine the prognosis of the disease and the choice of tactics for the management and treatment of patients with CHF depending on the phenotype.

Publisher

Alfmed LLC

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

Reference13 articles.

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