Prediction of Intracranial Temperature Through Invasive and Noninvasive Measurements on Patients with Severe Traumatic Brain Injury.

The brain's temperature measurements (T) in patients with severe brain damage are important, in order to offer the optimal treatment. The purpose of this research is the creation of mathematical models for the T's prediction, based on the temperatures in the bladder (T), femoral artery (T), ear canal (T), and axilla (T), without the need for placement of intracranial catheter, contributing significantly to the research of the human thermoregulatory system.The research involved 18 patients (13 men and 5 women), who were hospitalized in the adult intensive care units (ICU) of Larissa's two hospitals, with severe brain injury. An intracranial catheter with a thermistor was used to continuously measure T and other parameters. The T's measurements, and simultaneously one or more of T, T, T, and T, were recorded every 1 h.To create T predicting models, the data of each measurement was separated into (a) model sample (measurements' 80%) and (b) validation sample (measurements' 20%). Multivariate linear regression analysis demonstrated that it is possible to predict brain's temperature (PrT), using independent variables (R was T = 0.73, T = 0.80, T = 0.27, and T = 0.17, p < 0.05). Significant linear associations were found, statistically, and no difference in means between T and PrT of each prediction model. Also, the 95% limits of agreement and the percent coefficient of variation showed sufficient agreement between the T and PrT in each prediction model.In conclusion, brain's temperature prediction models based on T, T, T, and T were successful. Its determination contributes to the improvement of clinical decision-making.