A comparison between the transfer function of ABP to ICP and compensatory reserve index in TBI
Journal article, 2008
BACKGROUND: The transfer functions which map the arterial blood pressure to the intracranial pressure and the compensatory reserve index have been investigated by various groups to evaluate the brain compliance of patients with traumatic brain injury. The focus of this study has been to assess the capability of both the above mentioned methods to monitor the intracranial compliance in patients suffering from brain swelling. MATERIALS AND METHODS: Clinical data was collected from sixteen traumatic brain injury patients and split into 4 min segments. For each segment, both the magnitude of the empirical transfer function at the fundamental cardiac frequency and the compensatory reserve index were extracted. FINDINGS: The mean values of the compensatory reserve index and the magnitude of the transfer function which scored higher than 0.7 and 0.1 respectively were recorded for all patients suffering from brain swelling. By comparing the histogram of the magnitude of the transfer function at the fundamental cardiac frequency with the histogram of the compensatory reserve index for all patients, a positive correlation between the mean values and a negative correlation among their variances were observed. The linear correlation between the mean values was estimated at r = 0.82 (p < 0.0001). CONCLUSIONS: These observations suggest that to evaluate the intracranial compensatory reserve, the magnitude of 0.1 could be a useful threshold for the transfer function at the fundamental cardiac frequency.
blood pressure
aged
middle aged
signal processing
intracranial pressure
Time Factors
comparative study
brain circulation
article
Computer-Assisted
time
physiology
Humans
Young Adult
pathophysiology
hospitalization
brain injury
Cerebrovascular Circulation
human
male
Brain Injuries
Signal Processing
Severity of Illness Index
adolescent
female
adult
Author
Sima Shahsavari
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
Tomas McKelvey
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
T. Skoglund
Sahlgrenska University Hospital
Bertil Rydenhag
Sahlgrenska University Hospital
Acta Neurochirurgica, Supplement
0065-1419 (ISSN)
Vol. 102 102 9-139783211855775 (ISBN)
Subject Categories
Computer and Information Science
DOI
10.1007/978-3-211-85578-2_2
PubMed
19388279
ISBN
9783211855775