Establishment of Ascertainment Methods for Cardiovascular Disease Onset in the Tohoku Medical Megabank Organization

Rieko Hatanaka1,2, Naoki Nakaya1,2, Sayuri Tokioka1,2

  • 1Tohoku Medical Megabank Organization, Tohoku University Sendai Japan.

Circulation Reports
|March 11, 2026
PubMed

Insights

The Tohoku Medical Megabank Organization developed a system to identify cardiovascular disease (CVD) events using questionnaires. This system confirmed associations between traditional risk factors like hypertension and dyslipidemia and CVD onset.

Area of Science:

  • Epidemiology
  • Cardiovascular Medicine
  • Public Health

Background:

  • Cardiovascular disease (CVD) poses a significant health burden.
  • Accurate identification of CVD events in cohort studies is crucial for understanding disease etiology.
  • The Tohoku Medical Megabank Organization (ToMMo) aimed to establish a robust system for CVD event ascertainment.

Purpose of the Study:

  • To develop and validate a system for identifying cardiovascular disease (CVD) onset in participants of ToMMo cohort studies.
  • To examine the association between traditional cardiovascular risk factors and the incidence of CVD events.

Main Methods:

  • Utilized self-administered questionnaires to identify potential CVD events (stroke, myocardial infarction, angina pectoris).
  • Employed structured CVD registration forms, completed by medical institutions using medical records, for confirmation.
  • Conducted a nested case-control study (602 cases, 1,204 controls) with event adjudication by physicians and epidemiologists.

Main Results:

  • A system for identifying CVD onset in cohort participants was successfully established by ToMMo.
  • Conditional logistic regression models revealed significant associations between hypertension and dyslipidemia and CVD onset.

Conclusions:

  • The developed system enables reliable identification of cardiovascular disease events within cohort studies.
  • Future integration of lifestyle and genomic data with CVD onset information holds promise for personalized CVD prevention strategies and precision medicine.
Abstract

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