Heterogeneity and Generalizability of the effectiveness of intensive blood pressure control to prevent cardiovascular events.

2022 Fiscal Year Final Research Report

• Project/Area Number: 21K20900
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Multi-year Fund
• Review Section: 0902:General internal medicine and related fields
• Research Institution: Kyoto University
• Principal Investigator: Inoue Kosuke 京都大学, 医学研究科, 特定准教授 (80903830)
• Project Period (FY): 2021-08-30 – 2023-03-31
• Keywords: 高血圧 / 異質性 / 心血管

Outline of Final Research Achievements

Using two large RCTs investigating the effect of intensive blood pressure control to prevent cardiovascular events (SPRINT, ACCORD), we applied state-of-art machine learning algorithm, causal forest, to identify the heterogeneity in the treatment effect across individuals. Moreover, we developed a new concept "high-benefit approach" targeting individuals with high-benefit and showed its clinical usefulness over conventional "high-risk approach".

Free Research Field

因果推論

Academic Significance and Societal Importance of the Research Achievements

本研究結果は、従来のリスクが高い集団に治療を行うという「高リスク・アプローチ」の医療戦略に疑問を投げかけ、効果の異質性に着目した新しい個別化医療戦略「高ベネフィット・アプローチ」を提唱するものであり、次世代の医療の在り方を議論するうえで重要なエビデンスになる。