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Comparison of Baseline Heart Rate Variability in Stable Ischemic Heart Disease Patients with and without Stroke in
Michał Kuzemczak1, Paulina Białek-Ławniczak1, Katarzyna Torzyńska1
1Poznan University of Medical Sciences, HCP Medical Center, Department of Interventional Cardiology, Poznan, Poland.
Insights
Patients with ischemic heart disease (IHD) and a history of stroke exhibit distinct heart rate variability (HRV) profiles. These HRV differences may aid in assessing stroke risk in IHD patients.
Area of Science:
- Cardiology
- Neurology
- Biomedical Engineering
Background:
- Decreased heart rate variability (HRV) is a known predictor of adverse outcomes in postinfarction and ischemic stroke patients.
- The HRV profile of ischemic heart disease (IHD) patients at high risk for stroke remains under investigation.
Purpose of the Study:
- To compare baseline HRV, including traditional and novel indices, between stable IHD patients with and without a history of stroke.
- To determine if distinct HRV patterns exist in IHD patients who subsequently experience a stroke.
Main Methods:
- 139 consecutive stable IHD patients undergoing coronary angiography were enrolled.
- Short-term (5-minute) electrocardiogram recordings were analyzed for HRV.
- Traditional and novel HRV indices were calculated and compared between patients who did and did not experience a stroke during long-term follow-up.
Main Results:
- Six patients developed stroke during the follow-up period.
- Stroke patients exhibited significantly lower values for multiple HRV indices, including de Hann long-term irregularity, Yeh interval index, Organ BAND, Dalton SD, Zugaib variability measures, standard deviation of NN intervals, total power, and several frequency-domain measures (w2, w3, w4).
- No significant differences were observed in other analyzed HRV indices.
Conclusions:
- Stable IHD patients who experience a stroke demonstrate significantly different baseline HRV profiles compared to those who do not.
- Further research is warranted to explore the utility of HRV analysis in predicting stroke risk within the IHD population.
Goal:
Decreased heart rate variability (HRV) has predictive value in postinfarction as well as in ischemic stroke patients. However, it is unknown if ischemic heart disease (IHD) patients who are at high risk of stroke have different HRV profile. The goal of this study was to compare baseline HRV (traditional and novel indices) in stable IHD patients with and without stroke in long-term observation.
Methods:
A total of 139 consecutive patients with stable IHD scheduled for coronary angiography were enrolled. Five-minute electrocardiogram readings were taken. Traditional and novel HRV measures were calculated. After 70.06 ± 4.297 months of follow-up, baseline HRV indices in patients who had had a stroke were compared with indices in patients without the aforementioned cerebrovascular event.
Results:
During follow-up, 6 patients developed stroke. Compared to patients without such a cerebrovascular event, these patients with stroke had lower values for the following HRV indices: de Hann long-term irregularity (30,521 ± 32,767 versus 46,678 ± 25,328; P < .05), Yeh interval index (.0207 ± .0208 versus .0326 ± .0157; P < .05), Organ BAND (3.0563 ± 3.328 versus 4.515 ± 2.276; P < .05), Dalton standard deviation (SD) (17,887 ± 17,636 versus 29,859 ± 16,478; P < .05), Zugaib short-term variability (.004 ± .00416 versus .00622 ± .00418; P < .05), Zugaib long-term variability (.0161 ± .0151 versus .0247 ± .0115; P < .05), standard deviation of all NN intervals (8,954 ± 8,812 versus 16,724 ± 11,594; P < .05), total power (2,616 ± 4,855 versus 4,678 ± 4,653; P < .05), w2 (.71 ± .338 versus 1.719 ± 1.08; P < .05), w3 (1.399 ± .924 versus 2.552 ± 1.609; P < .05), and w4 (1.367 ± 1.705 versus 2.824 ± 2.027; P < .05). No significant differences in other analyzed indices were observed.
Conclusions:
Patients with IHD and stroke in long-term observation have different baseline profiles of HRV indices. Further investigations are needed to assess the usefulness of HRV analysis in stroke risk assessment.
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