Abstract 3694: Competing Risk for Long-Term Mortality in Patients with Unruptured Intracranial Aneurysm
Bibliographic record
Abstract
Introduction: Mortality in patients with unruptured intracranial aneurysm (UIA) is significantly higher than the general population. However a minority of the deaths are due to subarachnoid hemorrhage. Hypothesis: There are differential characteristics of patients that might predict specific causes of death that would be informative in counseling patients about aneurysm risk. Methods: 4059 patients with UIA who were enrolled prospectively between 1991 and 1998 were followed by 61 medical centers in North America, Canada, and Europe. Patients have at least one UIA, which may or may not be symptomatic. Patients were Rankin grade 1 or 2 at enrollment. Patients were followed annually from enrollment to 2007. For patients who died a death certificate search was done and information was requested from local physicians and other contacts. A National Death Index search in 2008 determined cases who died and cause of death. Foreign centers also did a national search where possible. Patients who died before 30 days post treatment or lost to follow up before 30 days post enrollment were excluded. Results: Twenty-five percent of patients died during follow-up. The life expectancy was significantly less than age-, sex-, and country-matched expected estimates. Among the total of 4004 patients with UIA who survived 30 days after enrollment, 2331 were treated and 1673 were not. There were 965 deaths after 30 days after treatment, of which 320 died from vascular disease (252 died from non-SAH vascular disease), 114 died from respiratory tract disease, 255 died from cancer, and the rest died of other or unknown reasons. Predictors of SAH death were aneurysm size, site, age and convulsive disorders at enrollment. Factors related to vascular death were UIA treatment, age, gender, race, hypertension, Rankin at discharge and diminishing influence of aneurysm characteristics over time. Respiratory deaths were related to treatment, race, smoking, age, initial Rankin and presentation with convulsive disorder. Cancer deaths were related to gender, race, smoking and age. Conclusions: In patients with UIA, an assessment of risk for death underscores the importance of age, race and gender and several modifiable risk factors. Patient management should include not only aneurysm rupture prevention but also modification of smoking and hypertension.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".