Development of a longitudinal data analysis model using large cohort data to elucidate the risk of heart failure.

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K11847
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60030:Statistical science-related
• Research Institution: Teikyo University (2020-2023); Tohoku University (2019)
• Principal Investigator: Miyata Satoshi 帝京大学, 大学院公衆衛生学研究科, 教授 (60360343)
• Co-Investigator(Kenkyū-buntansha): 倉田 博史 東京大学, 大学院総合文化研究科, 教授 (50284237) ; 坂田 泰彦 国立研究開発法人国立循環器病研究センター, 病院, 部長 (90379206)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 統計数学 / コホート研究 / 関数データ解析 / 慢性心不全 / ネットワーク解析 / 機械学習

Outline of Final Research Achievements

In this study, we stratified prognostic risk and explored risk factors for cardiac events using data from the CHART-2 study, a cohort of 10,219 chronic heart failure and high-risk patients enrolled at 24 core hospitals in the Tohoku region, including Tohoku University, from 2006 to 2010.
Study results of this study include the registration of cardiac events and continued work on physical findings, biochemical data, echocardiographic data, medication information, and other data from the CHART-2 study, which was completed at the end of March 2023 from the time of registration through the 10th year of the study.
As for research achievements, by the end of March 2024, clinical and epidemiological studies based on the CHART-2 study were underway, and 12 papers were published on the following topics.

Free Research Field

生物統計学

Academic Significance and Societal Importance of the Research Achievements

世界有数の大規模心不全コホートであるCHART-2データを用い、慢性心不全及びその高リスク症例の層別と生体ネットワークの解析モデル開発を行うことができた。
研究成果は、12報の原著論文と多数の学会発表により報告した。