Scoring model for prediction of sudden cardiac death using high resolution ambulatory electrocardiogram

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K07816
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52010:General internal medicine-related
• Research Institution: National Defense Medical College
• Principal Investigator: Kenichi Hashimoto 防衛医科大学校(医学教育部医学科進学課程及び専門課程、動物実験施設、共同利用研究施設、病院並びに防衛, 総合臨床部, 講師 (10726079)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 心不全 / 心臓突然死 / 致死性不整脈

Outline of Final Research Achievements

The purpose of this study was to determine the normal values of 24-hour ECG indices for cardiac prognosis and the optimal measurement method, and to create an original cardiac prognosis score chart combining these indices for the prediction of sudden cardiac death in heart failure patients, Among the 24-hour ECG indices, the signal averaged ECG had diurnal variation, and the accuracy was higher when LAS40 was measured at the longest time, and the test accuracy was higher when the number of additions was greater. It should be needed that the number of cases enrolled in the study will be increased to complete the sudden cardiac death prediction score table, which will be useful for research on the treatment of heart failure and recurrence of heart failure.

Free Research Field

循環器内科

Academic Significance and Societal Importance of the Research Achievements

今後、本研究結果を用いて精度高く侵襲が少ない心電図検査や採血によって心臓の状態を詳しく把握することができます。また、爆発的に増加が予測される心不全患者さんの予後の予測に役に立てることが出来ます。心不全による再入院の予測も可能となるうります。心臓の予後予測スコア表で現在の心臓の評価を行い、心不全の治療や再発防止にも役立てます。