Electrocardiographic Changes Predict Angiographic Vasospasm After Aneurysmal Subarachnoid Hemorrhage
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Early identification of patients at risk of angiographic vasospasm after aneurysmal subarachnoid hemorrhage (SAH) may mitigate its sequelae. One mechanism that may contribute to angiographic vasospasm is increased central sympathetic activity, which is also thought to cause electrocardiographic (ECG) changes after SAH. Here, we perform the first study to determine the association between ECG changes and angiographic vasospasm after SAH. METHODS: Exploratory analysis was performed on 413 patients from CONSCIOUS-1, a prospective randomized trial of clazosentan for the prevention of angiographic vasospasm. ECGs were obtained within 24 hours of aneurysm rupture and during the vasospasm risk period. Angiographic vasospasm was assessed using catheter angiography at baseline and 7 to 11 days after SAH. Multivariate logistic regression was used to identify significant associations. RESULTS: The most prevalent finding on ECG both immediately following SAH and during the vasospasm risk period was QT prolongation (42% and 25%, respectively). A prolonged QT interval and tachycardia on the baseline ECG were associated with angiographic vasospasm (OR, 1.86; 95% CI, 1.00-3.45; and OR, 10.83; 95% CI, 1.17-100.50, respectively). QT prolongation on ECG during the vasospasm risk period was also associated with angiographic vasospasm (OR, 3.53; 95% CI, 1.67-7.39). No ECG findings were associated with delayed ischemic neurological deficit, but tachycardia and ST changes were associated with worse clinical outcome. CONCLUSIONS: QT prolongation and tachycardia on ECG were independently associated with angiographic vasospasm after aneurysmal SAH on multivariate analysis. CLINICAL TRIAL REGISTRATION: URL: http://clinicaltrials.gov. Unique Identifier: NCT00111085.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".