Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/111586
Title: Comparative Analysis of Routine Echocardiography and Left Ventricular Functional Geometry-based Classification Model in the Diagnosis of Transplanted Heart Systolic Dysfunction
Other Titles: Сравнительная оценка стандартного эхокардиографического исследования и классификационной модели на основе параметров функциональной геометрии левого желудочка в диагностике систолической дисфункции трансплантированного сердца
Authors: Chumarnaya, T. V.
Idov, E. M.
Kondrashov, K. V.
Mikhailov, S. P.
Klimusheva, N. F.
Bykov, A. N.
Kochmasheva, V. V.
Alueva, Y. S.
Solovieva, O. E.
Issue Date: 2020
Publisher: Tomsk State University
Cardiology Research Institute
Citation: Comparative Analysis of Routine Echocardiography and Left Ventricular Functional Geometry-based Classification Model in the Diagnosis of Transplanted Heart Systolic Dysfunction [Сравнительная оценка стандартного эхокардиографического исследования и классификационной модели на основе параметров функциональной геометрии левого желудочка в диагностике систолической дисфункции трансплантированного сердца] / T. V. Chumarnaya, E. M. Idov, K. V. Kondrashov et al. // Sibirskij Zurnal Kliniceskoj i Eksperimental'noj Mediciny. — 2020. — Vol. 35. — Iss. 1. — P. 107-116.
Abstract: Objective. The purpose of this study was to assess the state of left ventricular (LV) systolic dysfunction for an extended period after heart transplantation using the parameters of the functional geometry of the left ventricle. Material and Methods. The study included 31 patients after orthotopic heart transplantation with a follow-up period of up to nine years. We used linear discriminant analysis to build a classification model based on either the standard echocardiographic parameters of LV systolic function or parameters of LV functional geometry indexes aimed at the potential prediction of acute rejection and progression of chronic heart failure. Results. The linear discriminant analysis model based on parameters of LV functional geometry showed a high predictive value to diagnose acute rejection and development of heart failure in heart transplant patients. Conclusion. Linear discriminant analysis classification model based on the LV functional geometry data showed high accuracy in predicting allograft rejection and development of heart failure in heart transplant patients. © 2022 Industrial Laboratory. Materials Diagnostics. All rights reserved.
Keywords: FUNCTIONAL GEOMETRY
HEART TRANSPLANTATION
LINEAR DISCRIMINANT ANALYSIS
URI: http://hdl.handle.net/10995/111586
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85126128828
PURE ID: 12730927
ISSN: 2713-2927
metadata.dc.description.sponsorship: The work was carried out within the framework of state assignments for the Ural State Medical University of Minzdrav of Russia (theme № AAAA-A18-118051590064) and Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences (theme No AAAAA18-118020590031-8). This work was supported by Decree of the Russian Government №211 of March 16, 2013 (agreement 02.A03.21.0006).
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85126128828.pdf577,88 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.