The crisis of the third day in intracranial pressure dynamics following traumatic brain injury, fact or fiction?
Bibliographic record
Abstract
Introduction: which gained prominence in the field of traumatic brain injury (TBI), where it relates to neurological deterioration on the third day after injury. However, evidence regarding this phenomenon remains scarce. Research question: This study aimed to analyze posttraumatic intracranial pressure (ICP) patterns in a large European cohort to investigate the existence of a third-day crisis and its impact on 12-month functional outcomes. Materials and methods: Data were analyzed from the prospective Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Patients with TBI admitted to ICUs in 65 European centers who received ICP monitoring were included. ICP measurements, averaged per day, were analyzed using mixed models. The association between ICP peak timing and functional outcome was examined with multivariable logistic regression. Results: The study included 886 patients. Average ICP trajectories showed no significant changes over the first seven days post-injury, without elevation around the third day. Among 563 patients with ICP >20 during the first week, 45% reached their highest ICP after the third day. Elevated ICP (>20 mmHg) during the first week was associated with unfavorable 12-month outcomes, but the timing of ICP peak was not linked to functional outcomes. Discussion and conclusion: This multicenter study challenges the 'crisis of the third day' concept. No distinct ICP or TIL elevations were observed around the third day. Elevated ICP remains a prognostic indicator, but ICP peak timing does not correlate with functional outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".