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[Chronobiological approach to the diagnosis and therapy of cardiovascular diseases]
Insights
This study explores chronodiagnosis and chronotherapy for cardiovascular diseases by analyzing circadian rhythms over 3-5 days. Methods identified rhythm disorders, aiding in personalized treatment strategies.
Area of Science:
- Cardiology
- Chronobiology
- Medical Diagnostics
Background:
- Cardiovascular diseases exhibit complex temporal patterns.
- Understanding circadian rhythms is crucial for effective diagnosis and treatment.
- Current diagnostic methods may not fully capture the time-dependent nature of these diseases.
Purpose of the Study:
- To describe chronodiagnosis and chronotherapy for cardiovascular diseases.
- To investigate methods for detecting circadian cycles and rhythm disorders.
- To explore approaches for chronotherapy based on individual time structures.
Main Methods:
- Continuous monitoring of physiological indices every 4 hours over 3-5 days.
- Dispersion analysis for non-sinusoidal rhythm detection.
- Approximation methods (cosignor and least squares with iteration) for sinusoidal rhythm analysis.
Main Results:
- Established methods for evaluating circadian rhythm periods.
- Demonstrated the detection of changes or disorders in the temporal structure of physiological functions.
- Provided insights into applying chronotherapy based on identified rhythms.
Conclusions:
- Circadian rhythm analysis is essential for diagnosing and treating cardiovascular diseases.
- Advanced analytical methods can reveal subtle temporal disruptions.
- Personalized chronotherapy holds promise for improving patient outcomes.
Abstract:
Some aspects of chronodiagnosis and chronotherapy of cardiovascular diseases were described. To reveal circadian cycles each examined person was observed for 3-5 days, the indices studied being measured every 4 h. The evaluation of a rhythm period was done using the dispersion analysis for the detection of non-sinusiodal rhythms and the approximation method for the detection of sinusoidal rhythms with a preset period (the cosignor analysis) and an unknown period (the least square method combined with the iteration method). Opportunities for the detection of changes or disorders of the time structure of examined function and approaches to chronotherapy were studied on clinical material.