Continuous Near-infrared Spectroscopy Monitoring in Adult Traumatic Brain Injury: A Systematic Review
Bibliographic record
Abstract
Near-infrared spectroscopy (NIRS) may provide a noninvasive way to monitor cerebral oxygenation in patients with traumatic brain injury, therein allowing for timely intervention aimed at reversing regional brain tissue hypoxia. We conducted a systematic review of NIRS-based oximetry measurements and their association with (A) patient functional outcome (B) other neurophysiological parameters. We searched MEDLINE, EMBASE, SCOPUS, BIOSIS, GlobalHealth and Cochrane Databases from inception to December 2018 and relevant conference proceedings published over the last 5 years. A total of 42 studies meeting our inclusion criteria were found (37 prospective observational, 5 retrospective designs). Seven studies reporting on the association between NIRS-based cerebral oxygenated hemoglobin measurements, mortality, modified Rankin Scale, Glasgow Outcome Scale, or Extended Glasgow Outcome Scale were identified. Forty-two studies exploring associations with neurophysiological parameters were included. Notwithstanding significant gaps in the currently available literature, our analysis suggests a link between NIRS-detected cerebral hypoxia during the acute phase of traumatic brain injury and poor functional outcome. NIRS measurements appear to reflect changes in intracranial pressure, invasively monitored brain tissue oxygen tension and various cerebrovascular reactivity indices although low quality contradicting data exist. More importantly, our review highlights the need for more prospective work before routine integration of NIRS-based techniques into multimodality monitoring regimen.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".