ArticleNeurocritical care2020
Improving Prediction of Favourable Outcome After 6 Months in Patients with Severe Traumatic Brain Injury Using Physiological Cerebral Parameters in a Multivariable Logistic Regression Model.
Article in Neurocritical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 62 citations in OpenAlex.
- A novel algorithm for the continuous determination of individualized intracranial pressure (iICP) thresholds using a multi-window weighted approach.BMC medical informatics and decision making · 2026Article
- Detection of regional disparity in cerebrovascular reactivity using a custom whole brain functional near-infrared spectroscopy based mapping system: A prospective observational study.PLOS digital health · 2026Article
- Time-Domain Analysis of Low- and High-Frequency Near-Infrared Spectroscopy Sensor Technologies for Characterization of Cerebral Pressure-Flow and Oxygen Delivery Physiology: A Prospective Observational Study.Sensors (Basel, Switzerland) · 2025Observational
- Time-Series Autoregressive Models for Point and Interval Forecasting of Raw and Derived Commercial Near-Infrared Spectroscopy Measures: An Exploratory Cranial Trauma and Healthy Control Analysis.Bioengineering (Basel, Switzerland) · 2025Article
- Commercial NIRS May Not Detect Hemispheric Regional Disparity in Continuously Measured COx/COx-a: An Exploratory Healthy and Cranial Trauma Time-Series Analysis.Bioengineering (Basel, Switzerland) · 2025Article
- Continuous personalized cerebrovascular reactivity-based physiologic metrics in neurocritical care: a narrative review of the current landscape, limitations, and future directions.Frontiers in physiology · 2025Review
- Exploration of simultaneous transients between cerebral hemodynamics and the autonomic nervous system using windowed time-lagged cross-correlation matrices: a CENTER-TBI study.Acta neurochirurgica · 2024Article
- Cerebral haemodynamics and intracranial pressure during haemorrhagic shock and resuscitation with total endovascular balloon occlusion of the aorta in an animal model.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Article
- Critical ICP thresholds in relation to outcome: Is 22 mmHg really the answer?Acta neurochirurgica · 2024Observational
- Predictors of outcomes 3 to 12 months after traumatic brain injury: a systematic review and meta-analysis.Osong public health and research perspectives · 2024Article
- The impact of sedative and vasopressor agents on cerebrovascular reactivity in severe traumatic brain injury.Intensive care medicine experimental · 2023Article
- Associations between intracranial pressure thresholds and multimodal monitoring in acute traumatic neural injury: a scoping review.Acta neurochirurgica · 2023Article
- Temporal relationship between vasopressor and sedative administration and cerebrovascular response in traumatic brain injury: a time-series analysis.Intensive care medicine experimental · 2023Article
- Immune system disorders in the early post-injury period in patients after severe brain injury from the perspective of the severity of the injury.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- High spatial and temporal resolution cerebrovascular reactivity for humans and large mammals: A technological description of integrated fNIRS and niABP mapping system.Frontiers in physiology · 2023Article
- Brain Tissue Oxygen Levels as a Perspective Therapeutic Target in Traumatic Brain Injury. Retrospective Cohort Study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2023Article
- Association between cerebrovascular reactivity in adult traumatic brain injury and improvement in patient outcome over time: an exploratory analysis.Acta neurochirurgica · 2022Article
- Status Forecasting Based on the Baseline Information Using Logistic Regression.Entropy (Basel, Switzerland) · 2022Article
- Optimal bispectral index level of sedation and cerebral oximetry in traumatic brain injury: a non-invasive individualized approach in critical care?Intensive care medicine experimental · 2022Article
- A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months.Acute and critical care · 2022Article
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectiveCurrent severe traumatic brain injury (TBI) outcome prediction models calculate the chance of unfavourable outcome after 6 months based on parameters measured at admission. We aimed to improve current models with the addition of continuously measured neuromonitoring data within the first 24 h after intensive care unit neuromonitoring.
methodsForty-five severe TBI patients with intracranial pressure/cerebral perfusion pressure monitoring from two teaching hospitals covering the period May 2012 to January 2019 were analysed. Fourteen high-frequency physiological parameters were selected over multiple time periods after the start of neuromonitoring (0-6 h, 0-12 h, 0-18 h, 0-24 h). Besides systemic physiological parameters and extended Corticosteroid Randomisation after Significant Head Injury (CRASH) score, we added estimates of (dynamic) cerebral volume, cerebral compliance and cerebrovascular pressure reactivity indices to the model. A logistic regression model was trained for each time period on selected parameters to predict outcome after 6 months. The parameters were selected using forward feature selection. Each model was validated by leave-one-out cross-validation.
resultsA logistic regression model using CRASH as the sole parameter resulted in an area under the curve (AUC) of 0.76. For each time period, an increased AUC was found using up to 5 additional parameters. The highest AUC (0.90) was found for the 0-6 h period using 5 parameters that describe mean arterial blood pressure and physiological cerebral indices.
conclusionsCurrent TBI outcome prediction models can be improved by the addition of neuromonitoring bedside parameters measured continuously within the first 24 h after the start of neuromonitoring. As these factors might be modifiable by treatment during the admission, testing in a larger (multicenter) data set is warranted.
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