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2023 Fiscal Year Final Research Report

Prediction of the arrhythmic storm using digital electrocardiographic data and prevention of sudden cardiac death.

Research Project

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Project/Area Number 21K08028
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 53020:Cardiology-related
Research InstitutionOkayama University

Principal Investigator

Morita Hiroshi  岡山大学, 医歯薬学域, 教授 (50322227)

Co-Investigator(Kenkyū-buntansha) 川田 哲史  岡山大学, 大学病院, 助教 (40897576)
Project Period (FY) 2021-04-01 – 2024-03-31
Keywords心臓突然死 / 不整脈ストーム / デジタル心電図 / 心室頻拍 / 心室細動 / 重症化予測 / 伝導障害
Outline of Final Research Achievements

We analyzed the characteristics of lethal arrhythmic syndromes. In cases with cardiac sarcoidosis, the distribution and severity of the fragmented QRS, and epsilon wave were associated with electrical storm (ES). Both electrocardiographic signs represent significant conduction abnormality. Sixty percent of patients with Brugada syndrome and compete right bundle branch block had remarkable conduction delay at the terminal of the right bundle branch and myocardium, and it was associated with frequent occurrence of ventricular fibrillation (VF). ES of the early repolarization syndrome was associated with short QT and QTp intervals, high points of the Shanghai Score System, and therapeutic hypothermia. The conduction abnormality was a common arrhythmogenic substrate promoting ES in various arrhythmic syndromes.

Free Research Field

循環器内科学

Academic Significance and Societal Importance of the Research Achievements

不整脈疾患における最重症形態である、心室頻拍・心室細動の電気的ストームと関連する心電図所見を報告した。主に解析したものが、遺伝性不整脈及び二次性心筋症疾患であるが、伝導障害が重症不整脈発生と関連することが共通しており、他の疾患においても、同様な指標が重症化予測に有用である可能性が考えられる。これらの指標を判定することで、各種不整脈疾患における重症化を予測し、その発生予防が可能となる。これにより、突然死の予防、疾患の重症化を防ぎ、入院や死亡による社会的損失や医療費の削減にもつながると考えられる。

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Published: 2025-01-30  

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