Advanced Bio-signal Analytics for Continuous Bedside Monitoring of Aneurysmal Subarachnoid Hemorrhage: The Future

• Published in: Neurocritical care Vol. 34; no. 2; pp. 375 - 378
• Main Author: Zeiler, Frederick A.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2021; Springer Nature B.V
• Subjects: Artificial intelligence; Blood; Brain research; Collaboration; Critical Care Medicine; Datasets; Drug dosages; Flow velocity; Genomes; Intensive; Intensive care; Internal Medicine; Invited Commentary; Medicin och hälsovetenskap; Medicine; Medicine & Public Health; Neurology; Neurosurgery; Patients; Traumatic brain injury; Canada; Manitoba Canada
• ISSN: 1541-6933; 1556-0961; 1556-0961
• DOI: 10.1007/s12028-020-01170-4

Cerebrovascular reactivity monitoring, taking the form of continuously updating Pearson correlation coefficients, derived from the relationship between slow-wave vasogenic fluctuations in a driving pressure for CBF and a surrogate measure of pulsatile cerebral blood volume/CBF, has seen increasing adoption within MMM of the TBI patient [11, 18]. [...]dosing or exposure time to certain cerebral physiologic derangements is emerging as an increasingly important factor dictating outcome in TBI care [34–36]. Aside from validation, such data collection strategies could benefit from linking high-fidelity cerebral physiologic information from MMM platforms, with protein biomarker information from cerebrospinal fluid (CSF), microdialysate, and serum. Furthermore, the addition of genomic data from genome-wide association studies, and epigenomic information related to biological aging, may improve our understanding of the impact of genetic variation and biological age on cerebral physiologic response post-aSAH.