Subarachnoid Hemorrhage Clinical Trial
Official title:
Multiscale Entropy and Time-Frequency Analysis of Electrocardiogram and Blood Pressure in Patients With Spontaneous Intracranial Hemorrhage
Dysregulation of autonomic nervous system is evident in patients with spontaneous intracranial hemorrhage. In this study, we utilize a non-invasive method (heart rate and blood pressure variability analysis to analyze the autonomic activities in this group of neurosurgical patients. Our aim is to determine the utility of this modality in risk stratification and outcome prediction in these patients.
Spontaneous intracranial hemorrhage is an absolute emergency in the field of neurosurgery,
and it is also a devastating event that commonly results in major neurological disabilities
or mortalities. Since disease severities and clinical courses vary in each patient,
pathophysiological studies and prognostic factors are always worth research. From previous
studies, we know that dysregulation of autonomic system plays an important role in
intracranial hemorrhage. Hemorrhage itself is associated with sympathoexcitation, and
patients who develop rebleeding or infarction complications are found to have an even higher
degree of sympathetic storm. Therefore, the degree of autonomic activities seems to be a
useful predictor.
Traditionally, sympathetic activities are measured by plasma catecholamine, while
parasympathetic activities are hard to measure. In recent decades, the application of
engineering in biological fields makes a great breakthrough. Waveform analysis of biological
signals, such as electrocardiograms and arterial blood pressure, can indirectly determine
autonomic activities. The variabilities of heart rate and blood pressure are subjected to
frequency analysis. This generates several dominant frequency bands. High frequency bands
(0.15-0.40Hz) are attributed to the effect of parasympathetic nervous system, while, the low
frequency bands (0.04-0.15 Hz) are attributed to the effect of both sympathetic and
parasympathetic nervous systems.
In this study, all patients with spontaneous intracranial bleedings undergo standard
treatment and monitoring. This include electrocardiography, arterial blood pressure, and
cerebral blood flow using transcranial Doppler sonography. For those who also have
intracranial pressure monitoring, the intracranial pressure are also recorded. All these
biological signals are exported for wave form analysis. We use frequency analysis,
time-frequency analysis, and multiscale entropy to analyze these data. The results of
analyses were also correlated to plasma catecholamine levels, proinflammatory markers, as
well as the clinical variables. Our aim is to identify predictors of complications and grave
outcomes from these biological signals. We also apply the results for future
pathophysiological studies.
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Observational Model: Cohort, Time Perspective: Prospective
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