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Heart rate dynamics predict poststroke mortality.
A M Mäkikallio1, T H Mäkikallio, J T Korpelainen
1The Graduate School of Circumpolar Wellbeing, Health and Adaptation, Centre for Arctic Medicine, Department of Neurology, University of Oulu, Finland. Anne.Makikallio@ppshp.fi
Neurology
|May 26, 2004
Summary
Abnormal long-term heart rate (HR) dynamics, specifically the power-law slope beta, predict mortality after ischemic stroke. This finding may aid in stratifying stroke patient risk.
Area of Science:
- Cardiology
- Neurology
- Medical Statistics
Background:
- Cardiovascular autonomic regulation, assessed via heart rate (HR) variability, is a known prognostic indicator in heart disease and elderly populations.
- Reduced HR variability has been observed in stroke patients, but its prognostic significance remains unstudied.
Purpose of the Study:
- To investigate the prognostic significance of HR variability measures in predicting mortality after acute ischemic stroke.
Main Methods:
- A cohort of 84 patients with acute ischemic stroke underwent 24-hour EKG recordings and clinical assessments.
- Analysis included conventional and novel HR variability measures, with a 7-year follow-up for mortality.
Main Results:
- Abnormal long-term HR variability (power-law slope beta < -1.5) was the strongest independent predictor of all-cause mortality (HR 3.8).
- Conventional HR variability measures did not show prognostic power.
- Age and stroke severity also predicted mortality in univariate analysis.
Conclusions:
- Abnormal long-term HR dynamics are a significant predictor of post-stroke mortality.
- This measure holds potential value for risk stratification in stroke survivors.