Long-term prognosis of unrecognized myocardial infarction in women and men from the general population: the Rotterdam Study - Summary - MDSpire

Long-term prognosis of unrecognized myocardial infarction in women and men from the general population: the Rotterdam Study

  • By

  • Julie A E van Oortmerssen

  • Luoshiyuan Zuo

  • Martijn J Tilly

  • Bryn Hummel

  • M Kamran Ikram

  • Eric Boersma

  • Jeanine E Roeters van Lennep

  • Maryam Kavousi

  • October 27, 2025

  • 0 min

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Objective:

To compare the long-term risk of heart failure, atrial fibrillation, stroke, and all-cause mortality among women and men with unrecognized myocardial infarction (UMI), recognized myocardial infarction (RMI), and no myocardial infarction (MI).

Key Findings:
  • In women, UMI was associated with increased risks of HF (HR 1.31, 95% CI 1.01–1.71) and all-cause mortality (HR 1.21, 95% CI 1.05–1.40), but significance diminished after adjusting for risk factors.
  • Recognized MI in women significantly increased risks of HF (HR 2.58, 95% CI 1.94–3.43), AF (HR 1.62, 95% CI 1.13–2.32), and all-cause mortality (HR 1.81, 95% CI 1.54–2.12).
  • In men, both UMI and RMI were linked to higher risks of HF (UMI: HR 1.90, 95% CI 1.45–2.48; RMI: HR 2.49, 95% CI 2.09–2.98), AF (UMI: HR 1.91, 95% CI 1.45–2.54; RMI: HR 1.79, 95% CI 1.46–2.19), stroke (UMI: HR 2.06, 95% CI 1.52–2.80; RMI: HR 1.36, 95% CI 1.06–1.76), and all-cause mortality (UMI: HR 1.59, 95% CI 1.36–1.85; RMI: HR 1.63, 95% CI 1.46–1.81).
Interpretation:

UMI has a differential impact on long-term prognosis in women and men, indicating the necessity for sex-specific cardiovascular risk assessment and prevention strategies to improve outcomes.

Limitations:
  • The study's observational nature limits causal inferences.
  • Potential biases in self-reported medical history and ECG interpretations.
  • Findings may not be generalizable to populations outside the Rotterdam Study.
Conclusion:

UMI is associated with significant long-term risks in both sexes, emphasizing the need for improved identification and management strategies tailored to sex differences.

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