| Unique ID issued by UMIN | UMIN000048525 |
|---|---|
| Receipt number | R000055291 |
| Scientific Title | Factorial analysis of heart rate variability components synchronised with locomotor rhythm in patients with cardiovascular disease. |
| Date of disclosure of the study information | 2022/09/01 |
| Last modified on | 2026/02/08 10:53:58 |
Factorial analysis of heart rate variability components synchronised with locomotor rhythm in patients with cardiovascular disease.
Factorial analysis of heart rate variability components synchronised with locomotor rhythm in patients with cardiovascular disease.
Factorial analysis of heart rate variability components synchronised with locomotor rhythm in patients with cardiovascular disease.
Factorial analysis of heart rate variability components synchronised with locomotor rhythm in patients with cardiovascular disease.
| Japan |
Cardiovascular disease
| Cardiology | Cardiovascular surgery |
Others
NO
The aim of this study is to analyse and identify the factors responsible for the heart rate variability component that is synchronised with the locomotor rhythm, which has so far been regarded as noise, in patients with cardiovascular disease. Heart rate fluctuates under the influence of various factors and is also affected by the rhythm of exercise. We have studied the variability of heart rate rhythm during exercise and have reported that heart rate rhythm is influenced and drawn in by the rhythm of gait and that the strength of the influence from the exercise rhythm is related to exercise tolerance and age. In this study, data will be collected in patients with impaired circulatory function with the aim of identifying factors contributing to heart rate rhythm fluctuations synchronised with exercise rhythms for use in the assessment of exercise and cardiovascular function.
Bio-availability
Left ventricular ejection fraction, heart failure stage, heart rate variability component during exercise
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
Adult patients with cardiovascular disease who requested cardiopulmonary exercise testing
Patients with atrial fibrillation
50
| 1st name | Shinta |
| Middle name | |
| Last name | Takeuchi |
International University of Health and Welfare
School of Health Sciences at Narita, Department of Physical Therapy
286-8686
4-3 Kozunomori, Narita City, Chiba 286-8686 JAPAN
0476-20-7751
shinta.t@iuhw.ac.jp
| 1st name | Shinta |
| Middle name | |
| Last name | Takeuchi |
International University of Health and Welfare
School of Health Sciences at Narita, Department of Physical Therapy
286-8686
4-3 Kozunomori, Narita City, Chiba 286-8686 JAPAN
0476-20-7751
shinta.t@iuhw.ac.jp
International University of Health and Welfare
Japan Society for the Promotion of Science
Japanese Governmental office
International University of Health and Welfare
4-3 Kozunomori, Narita City, Chiba 286-8686 JAPAN
0476-20-7708
rinri_md@iuhw.ac.jp
NO
国際医療福祉大学成田病院(千葉県)
| 2022 | Year | 09 | Month | 01 | Day |
https://kaken.nii.ac.jp/ja/file/KAKENHI-PROJECT-21K17535/21K17535seika.pdf
Partially published
https://kaken.nii.ac.jp/ja/file/KAKENHI-PROJECT-21K17535/21K17535seika.pdf
144
After applying exclusion criteria to 144 cardiac patients, 17 post-AMI and 7 post-acute HF patients were analyzed. CLFC power at AT and exercise capacity showed no group differences. CLFC power at Peak was significantly higher in the AMI group (p<0.05), and the slope of CLFC power from AT to Peak was also significantly greater in the AMI group (p<0.05). These results suggest that myocardial mechanical properties and parasympathetic activity influence CLFC generation.
| 2026 | Year | 02 | Month | 08 | Day |
From cardiopulmonary exercise testing data of 144 cardiac patients, those with missing heart rate data, atrial fibrillation, or heart rate below 100 bpm at anaerobic threshold (AT) were excluded. A total of 24 patients in two disease groups with sufficient sample sizes for inferential statistics were analyzed: 17 patients with coronary artery disease after acute myocardial infarction (AMI group) and 7 patients with heart failure after acute exacerbation of chronic heart failure (HF group). No significant differences were observed between groups in CLFC power at AT or exercise capacity indices.
Data were collected from 144 cardiac patients who underwent cardiopulmonary exercise testing during the study period. Patients were excluded based on the following criteria: (1) missing heart rate data, (2) presence of atrial fibrillation, and (3) heart rate below 100 bpm at the anaerobic threshold (AT). Additionally, disease groups with insufficient sample sizes for inferential statistics were excluded. As a result, 24 patients were included in the final analysis: 17 patients with coronary artery disease after acute myocardial infarction (AMI group) and 7 patients with heart failure after acute exacerbation of chronic heart failure (HF group). All 24 patients completed the analysis with no dropouts.
This was a retrospective observational study analyzing existing data from previously conducted cardiopulmonary exercise testing. No additional intervention was performed on participants as part of this study. Therefore, no adverse events attributable to this study occurred.
[Primary outcome measures]
Normalized power of the Cardio-Locomotor Frequency Component (CLFC power), specifically:
(1) CLFC power at anaerobic threshold (AT)
(2) CLFC power at peak exercise (Peak)
(3) Slope of CLFC power change from AT to Peak (calculated by linear regression using the least squares method)
[Secondary outcome measures]
Exercise capacity indices (oxygen uptake at AT and Peak, etc.)
Completed
| 2022 | Year | 07 | Month | 30 | Day |
| 2022 | Year | 08 | Month | 23 | Day |
| 2022 | Year | 09 | Month | 01 | Day |
| 2024 | Year | 03 | Month | 31 | Day |
| 2025 | Year | 03 | Month | 31 | Day |
(1) Study design.
Collaborative, cross-sectional and observational study of International University of Health and Welfare and International University of Health and Welfare Narita Hospital
(2) Evaluation items and methods
(1) Primary endpoints
Left ventricular ejection fraction, heart failure stage, heart rate variability component during exercise
(2) Secondary endpoints
Skeletal muscle pump function, autonomic nerve activity, maximal oxygen uptake, anaerobic metabolic threshold
(3) Statistical analysis methods
Subjects were divided into two groups according to heart failure type, and the exercise heart rate variability component, skeletal muscle pump function and autonomic function were compared using an unpaired t-test. The significance level is set at a risk rate of less than 5%.
(4) Observation and examination items (samples and information to be used) and methods
The following items will be observed and examined
1) Basic subject information (age, sex, height, weight, diagnosis, medical history, treatment history and medication status): obtained from medical records.
2) Echocardiography results (left ventricular ejection fraction): obtained from medical records.
3) Cardiopulmonary exercise stress test (heart rate variability component during exercise, anaerobic metabolic threshold, maximum oxygen uptake): analysed by 12-lead ECG and expiratory gas analyser. ECG data are converted to R-R intervals and analysed for heart rate variability using the maximum entropy method with analysis software (MEMCALC). Components that match the exercise frequency are extracted as heart rate variability components during exercise.
4) Skeletal muscle pump function (single leg venous output is extracted using air plethysmography).
| 2022 | Year | 07 | Month | 30 | Day |
| 2026 | Year | 02 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055291