Neurovascular Complexity Index: A Potential Quantitative Measure for Assessment of Traumatic Brain Injury
Abstract
Multimodal monitoring of brain physiology following a traumatic brain injury (TBI) shows promise as a strategy to improve management and outcomes of TBI patients. Valid and reliable measures of different aspects of brain physiology following a TBI could prove critical to accurately capturing these changes. Using a case‐control study design, we evaluated a new proprietary algorithm of cerebral blood flow variability (CBFV) called the neurovascular complexity index (NCI). Baseline NCI data from 169 healthy control participants were compared to 51 TBI patients. Unadjusted and age‐sex adjusted logistic regression models were used to assess the association between NCI and TBI. TBI patients exhibited significantly greater variability in NCI scores than healthy controls (F=131.88; p8.10) had superior ability to identify TBI patients based on the Receiver Operator Characteristic Area Under the Curve (0.84 vs. 0.61; p=0.0007), and greater sensitivity (74.5 vs. 51.0; p=0.0013). Individuals with NCI scores outside the 5.88–8.10 range had a 29‐fold increase in the odds of TBI in multivariate logistic regression models adjusted for age, sex and end tidal CO2 (OR=29.44; 95% CI 5.98–144.87; p<0.0001). Advancement in multimodal monitoring of TBI patients is important in reducing the potential risk of secondary injury. This study reports results for a new non‐invasive quantifiable assessment of TBI based on a measure of CBFV showing potential for continuous monitoring and early identification of brain‐injured patients to better inform individualized management.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 01, 2017
- Source ID
- 10.1096/fasebj.31.1_supplement.1087.6
Entities
People
- Alicia M Schiller
- Claudia Robertson
- Corinne D. Nawn
- Iurii Frolov
- Jeffrey T. Howard
- Jud C. Janak
- Victor A Convertino
- Vladislav Bukhman
Organizations
- Baylor College of Medicine
- United States Army Institute of Surgical Research