Revisiting the oxygen reactivity index in traumatic brain injury: the complementary value of combined focal and global autoregulation monitoring.

Background: The oxygen reactivity index (ORx) reflects the correlation between focal brain tissue oxygen (pbtO) and the cerebral perfusion pressure (CPP). Previous, small cohort studies were conflicting on whether ORx conveys cerebral autoregulatory information and if it is related to outcome in traumatic brain injury (TBI). Thus, we aimed to investigate these issues in a larger TBI cohort.

Comparing FFR-Guided Complete Revascularization and Conservative Management for Non-Culprit Lesions in STEMI Patients With Multivessel Disease: A Systematic Review and Meta-Analysis.

Background: In patients with ST-segment elevation myocardial infarction (STEMI) and multivessel coronary artery disease, the optimal management strategy for non-culprit lesions is a subject of ongoing debate. There has been an increasing use of physiology-guidance to assess the extent of occlusion in non-culprit lesions, and hence the need for stenting. Fractional flow reserve (FFR) is commonly used as a technique.

Machine learning for predicting post-operative outcomes in meningiomas: a systematic review and meta-analysis.

Purpose: Meningiomas are the most common primary brain tumour and account for over one-third of cases. Traditionally, estimations of morbidity and mortality following surgical resection have depended on subjective assessments of various factors, including tumour volume, location, WHO grade, extent of resection (Simpson grade) and pre-existing co-morbidities, an approach fraught with subjective variability. This systematic review and meta-analysis seeks to evaluate the efficacy with which machine learning (ML) algorithms predict post-operative outcomes in meningioma patients.