Background: Cerebral autoregulation is the process by which cerebral blood flow (CBF) is maintained constant over a specific cerebral perfusion pressure (CPP) range. We have reworked a version of the Ursino and Lodi autoregulation model to derive an index of autoregulation (G), and compared it to a number of other autoregulatory models as well as a gold standard measure of autoregulation obtained from an animal model study (6 piglets with a cranial window preparation and ICP, ABP sampled at 250 Hz). The results of that study have shown that this index G correlates well with the "Bouma" index of autoregulation.
Methods: In this study this new autoregulatory index has been calculated for a sample of 12 head injury patient's data over multiple time points and then used to firstly investigate if this index in conjunction with other clinical prognostic factors may give a better indication of outcome and then analyse its trend with time to quantify how the level of autoregulation changes post-injury.
Findings: The index correlates well with dichotomised GOSe outcome (p = 0.03) and the trend in the result between middle and late time periods shows early signs of being predictive of outcome as well.
Conclusions: Though more work is needed these results warrant further investigation with larger numbers of patients.