Prognostic model of typical complications caused by transcatheter aortic valve replacement

0Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The aim of the study was to develop a prognostic model based on statistical discriminant analysis to assess the risk of postoperative disturbance of cardiac conduction and paraprosthetic regurgitation after transcatheter aortic valve replacement. Materials and Methods. Clinical data of 10 patients implanted with CoreValveTM prostheses (Medtronic Inc., USA) were used to develop prognostic models. To that end, we analyzed changes in hemodynamic and functional parameters provided by echocardiography in the pre-and postoperative periods. Results. We observed significant positive changes in the severity of left ventricular myocardial hypertrophy; on the contrary, volume indicators did not significantly change, which might be associated with the concentric type of left ventricular hypertrophy. The discriminant analysis made it possible to determine major (preoperative) morphological and functional indicators associated with the two most common complications of the procedure: Left bundle branch block and paraprosthetic regurgitation. Left ventricular posterior wall thickness, interventricular septal thickness, left atrium dimension, and myocardial mass are the critical factors that determine the development of these complications. Conclusion. In the prognostic model, the proposed weighting coefficients allow one to assess the risk of postoperative complications; however, the presence of false-positive results requires further refinement of these coefficients within the linear equation.

Cite

CITATION STYLE

APA

Ovcharenko, E. A., Klyshnikov, K. U., Ganyukov, V. I., Shilov, A. A., Vereshchagin, I. E., Sizova, I. N., … Barbarash, L. S. (2020). Prognostic model of typical complications caused by transcatheter aortic valve replacement. Sovremennye Tehnologii v Medicine, 12(2), 27–33. https://doi.org/10.17691/stm2020.12.2.03

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free