Cerebral Autoregulation: A Target for Improving Neurological Outcomes in Extracorporeal Life Support.
Nolan V ChalifouxTiffany KoJulia SlovisAudrey SpeldeTodd KilbaughConstantine D MavroudisPublished in: Neurocritical care (2024)
Despite improvements in survival after illnesses requiring extracorporeal life support, cerebral injury continues to hinder successful outcomes. Cerebral autoregulation (CA) is an innate protective mechanism that maintains constant cerebral blood flow in the face of varying systemic blood pressure. However, it is impaired in certain disease states and, potentially, following initiation of extracorporeal circulatory support. In this review, we first discuss patient-related factors pertaining to venovenous and venoarterial extracorporeal membrane oxygenation (ECMO) and their potential role in CA impairment. Next, we examine factors intrinsic to ECMO that may affect CA, such as cannulation, changes in pulsatility, the inflammatory and adaptive immune response, intracranial hemorrhage, and ischemic stroke, in addition to ECMO management factors, such as oxygenation, ventilation, flow rates, and blood pressure management. We highlight potential mechanisms that lead to disruption of CA in both pediatric and adult populations, the challenges of measuring CA in these patients, and potential associations with neurological outcome. Altogether, we discuss individualized CA monitoring as a potential target for improving neurological outcomes in extracorporeal life support.
Keyphrases
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- cerebral blood flow
- respiratory failure
- blood pressure
- immune response
- protein kinase
- mechanical ventilation
- subarachnoid hemorrhage
- cerebral ischemia
- brain injury
- end stage renal disease
- oxidative stress
- newly diagnosed
- ejection fraction
- atrial fibrillation
- type diabetes
- hypertensive patients
- adipose tissue
- heart rate
- peritoneal dialysis
- metabolic syndrome
- risk assessment
- insulin resistance
- optical coherence tomography
- genetic diversity