Continuous non-invasive optical monitoring of cerebral blood flow and oxidative metabolism after acute brain injury. Issue 8 (August 2019)

• Record Type: Journal Article
• Authors: Baker, Wesley B; Balu, Ramani; He, Lian; Kavuri, Venkaiah C; Busch, David R; Amendolia, Olivia; Quattrone, Francis; Frangos, Suzanne; Maloney-Wilensky, Eileen; Abramson, Kenneth; Mahanna Gabrielli, Elizabeth; Yodh, Arjun G; Andrew Kofke, W
• Is Part Of: Journal of cerebral blood flow & metabolism. Volume 39:Issue 8(2019)
• Page Start: 1469
• Page End: 1485
• Publication Date: 2019-08
• Subjects: Cerebral blood flow measurement -- intrinsic optical imaging -- near-infrared spectroscopy -- neurocritical care; Cerebral circulation -- Periodicals; Brain -- Metabolism -- Periodicals; Brain -- Blood-vessels -- Periodicals; Cerebrovascular disease -- Periodicals; 612.824
• DOI: 10.1177/0271678X19846657
• Languages: English
• ISSNs: 0271-678X

Abstract

Rapid detection of ischemic conditions at the bedside can improve treatment of acute brain injury. In this observational study of 11 critically ill brain-injured adults, we employed a monitoring approach that interleaves time-resolved near-infrared spectroscopy (TR-NIRS) measurements of cerebral oxygen saturation and oxygen extraction fraction (OEF) with diffuse correlation spectroscopy (DCS) measurement of cerebral blood flow (CBF). Using this approach, we demonstrate the clinical promise of non-invasive, continuous optical monitoring of changes in CBF and cerebral metabolic rate of oxygen (CMRO2 ). In addition, the optical CBF and CMRO2 measures were compared to invasive brain tissue oxygen tension (PbtO2 ), thermal diffusion flowmetry CBF, and cerebral microdialysis measures obtained concurrently. The optical CBF and CMRO2 information successfully distinguished between ischemic, hypermetabolic, and hyperemic conditions that arose spontaneously during patient care. Moreover, CBF monitoring during pressor-induced changes of mean arterial blood pressure enabled assessment of cerebral autoregulation. In total, the findings suggest that this hybrid non-invasive neurometabolic optical monitor (NNOM) can facilitate clinical detection of adverse physiological changes in brain injured patients that are otherwise difficult to measure with conventional bedside monitoring techniques.