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174 Journal of Neuroanaesthesiology and Critical Care | Vol. 3 • Issue 2 • May-Aug 2016 | images, (9) number of flow voids within tumour and (10) peritumoural oedema. The method utilised involved calculation of estimated blood loss from pre-operative and post-operative Hb values and intraoperative blood transfusion weight of patients. Formula used was (Hbpre − Hbpost)/Hbpre × estimated blood volume (EBV) + intraoperative BT volume administered. EBV = 70 × weight (females); 65 × weight (males). BT volume = packed cell volume (PCV) (0.6/0.35) = PCV × 1.714 or whole blood volume. A sample size of 100 patients was planned for producing a predictive model. Spearman’s correlation analysis was used for association between blood loss and MRI characteristics. Linear and logistic regression were used for identifying independent predictors of volume of intraoperative blood loss and predicting high blood loss (>25% of EBV). Results: Currently, 20 patients have been recruited. None of the above parameters appear to be significantly correlated with the calculated blood loss. Thus, none of the parameters were used for predictive modelling. Updated results will be discussed after complete data collection. Conclusion: The importance of quantitative prediction of expected blood loss in anaesthetic practice cannot be undermined in neurosurgeries. With no precedence of such study in known literature, we expect this study to be useful and hopefully lay background for future detailed research in this niche.

Hypothermia in traumatic brain injury for control of intracranial hypertension: Standalone therapeutic option or adjunct?