Comparative analysis of routine echocardiography and left ventricular functional geometry-based classification model in the diagnosis of transplanted heart systolic dysfunction
T. V. Chumarnaya,
E. M. Idov,
K. V. Kondrashov,
S. P. Mikhailov,
N. F. Klimusheva,
A. N. Bykov,
V. V. Kochmasheva,
Yu. S. Alueva,
O. E. Solovieva https://doi.org/10.29001/2073-8552-2020-35-1-107-116
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.
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.
Supporting agencies: 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).
About the Authors
T. V. Chumarnaya
Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences,
Ural Federal University named after the First President of Russia B.N. Yeltsin,
Ural State Medical University
Russian Federation
Cand. Sci. (Biol.), Senior Research Scientist, Laboratory of Mathematical Physiology
106, Pervomayskay str., Ekaterinburg, 620049, Russian Federation 19, Peace str., Ekaterinburg, 620002, Russian Federation 3, Repina str., Ekaterinburg, 620028, Russian Federation
Russian Federation
Cand. Sci. (Biol.), Senior Research Scientist, Laboratory of Mathematical Physiology
106, Pervomayskay str., Ekaterinburg, 620049, Russian Federation 19, Peace str., Ekaterinburg, 620002, Russian Federation 3, Repina str., Ekaterinburg, 620028, Russian Federation
E. M. Idov
Ural State Medical University,
Sverdlovsk Regional Clinical Hospital No. 1
Russian Federation
Dr. Sci. (Med.), Professor, Department of Surgical Diseases and Cardiovascular Surgery
3, Repina str., Ekaterinburg, 620028, Russian Federation 185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
Russian Federation
Dr. Sci. (Med.), Professor, Department of Surgical Diseases and Cardiovascular Surgery
3, Repina str., Ekaterinburg, 620028, Russian Federation 185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
K. V. Kondrashov
Ural State Medical University,
Sverdlovsk Regional Clinical Hospital No. 1
Russian Federation
Russian Federation
Cand. Sci. (Med.), Associate Professor, Head of the Department of Cardiac Surger
3, Repina str., Ekaterinburg, 620028, Russian Federation 185, Volgogradskaya str., Ekaterinburg, 620102, Russian FederationS. P. Mikhailov
Ural State Medical University,
Sverdlovsk Regional Clinical Hospital No. 1
Russian Federation
Russian Federation
Cand. Sci. (Med.), Associate Professor, Department of Surgical Diseases and Cardiovascular Surgery
3, Repina str., Ekaterinburg, 620028, Russian Federation 185, Volgogradskaya str., Ekaterinburg, 620102, Russian FederationN. F. Klimusheva
Sverdlovsk Regional Clinical Hospital No.1
Russian Federation
Dr. Sci. (Med.), Deputy Chief Physician
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
Russian Federation
Dr. Sci. (Med.), Deputy Chief Physician
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
A. N. Bykov
Sverdlovsk Regional Clinical Hospital No.1
Russian Federation
Head of the Department of Cardiology No. 1
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
Russian Federation
Head of the Department of Cardiology No. 1
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
V. V. Kochmasheva
Sverdlovsk Regional Clinical Hospital No.1
Russian Federation
Russian Federation
Dr. Sci. (Med.), Professor, Department of Functional Diagnostics; Head of Department of Functional Diagnostics
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
Yu. S. Alueva
Sverdlovsk Regional Clinical Hospital No.1
Russian Federation
Physician, Department of Functional Diagnostics
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
Russian Federation
Physician, Department of Functional Diagnostics
185, Volgogradskaya str., Ekaterinburg, 620102, Russian Federation
O. E. Solovieva
Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences,
Ural Federal University named after the First President of Russia B.N. Yeltsin
Russian Federation
Dr. Sci. (Physics & Mathematics), Director
106, Pervomayskay str., Ekaterinburg, 620049, Russian Federation 19, Peace str., Ekaterinburg, 620002, Russian Federation
Russian Federation
Dr. Sci. (Physics & Mathematics), Director
106, Pervomayskay str., Ekaterinburg, 620049, Russian Federation 19, Peace str., Ekaterinburg, 620002, Russian Federation
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Review
For citations:
Chumarnaya T.V., Idov E.M., Kondrashov K.V., Mikhailov S.P., Klimusheva N.F., Bykov A.N., Kochmasheva V.V., Alueva Yu.S., Solovieva O.E. Comparative analysis of routine echocardiography and left ventricular functional geometry-based classification model in the diagnosis of transplanted heart systolic dysfunction. Siberian Journal of Clinical and Experimental Medicine. 2020;35(1):107-116. (In Russ.) https://doi.org/10.29001/2073-8552-2020-35-1-107-116
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