Abstract W MP54: Increased Collisions and Errors at Intersections During Simulated Driving in Patients after Aneurysmal Subarachnoid Hemorrhage
Bibliographic record
Abstract
Introduction: It is well established that cognitive and functional impairments persist despite good clinical outcomes in patients who suffer aneurysmal subarachnoid hemorrhage (aSAH). The impact of these impairments on real-world tasks such as driving a motor vehicle is currently unclear. This study aimed to investigate driving ability of aSAH patients using a driving simulator. We hypothesized that patients would exhibit more driving errors during the most cognitively demanding aspects, particularly while executing left turns at busy intersections, where the driver must quickly integrate many complex and dynamic visual stimuli to make a rapid decision and turn safely. Methods: Nine functionally independent aSAH patients (>3 months post-ictus) and nine healthy control participants matched for age (patients: 58±13; controls: 59±14, p > 0.05) completed two driving scenarios (STISIM). The total number of errors committed and errors associated with intersections were compared between groups. Errors included collisions, speeding, centerline crossings, road edge excursions, stop signs missed and traffic light tickets. Results: The mean number of total errors did not differ between the patient and control groups (28 versus 22, p > 0.05); however, patients committed a greater number of hazardous errors, including collisions (2.4 versus 0.1, p < 0.05) and road edge excursions (3.7 versus 0.3, p < 0.01), than controls. Total errors at intersection turns were greater for patients (7.7 versus 3.2, p < 0.05). When stratified by type of turn, patients experienced more errors than controls during left turns (1.6 versus 0.2, p < 0.01) and left turns with oncoming traffic (2.3 versus 0.8, p < 0.05) but not during right turns (3.8 versus 2.2, p > 0.05). Conclusion: Our results suggest probable driving impairment in some aSAH patients during more difficult aspects of driving, such as making left turns at a busy intersection, which is where most real-world accidents occur. This analysis was limited by a small sample, and further research should explore the clinical and cognitive correlates of driving ability in a large sample of aSAH patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".