Abstract TP95: Hypothyroidism is Associated With Cerebral Aneurysms in Women
Bibliographic record
Abstract
Background: Endocrine dysfunction, including thyroid function, has been known to affect cerebral vascular dysfunction. Hypothyroidism has been shown to cause mucopolysaccharide deposition which has been associated with the weakening of blood vessel walls and aneurysm formation in some case reports. However, the connection between hypothyroidism and cerebral aneurysm has not been well studied. We hypothesized that hypothyroidism maybe associated with occurrence of cerebral aneurysms. Methods: We performed a retrospective case-control study of consecutive patients receiving cerebral angiography at our tertiary-care academic medical center. Inclusion criteria included undergoing 3-vessel angiography. Exclusion criteria included any ruptured aneurysm or previous intracranial hemorrhage. Medical history of hypothyroidism was noted along with all other risk factors. The control group of patients did not have any intra-cranial abnormality on angiography. Patients with cerebral aneurysm were matched with controls for known risk factors of cerebral aneurysm, including: age, hypertension, and smoking history. Cases were further subdivided base on gender given females are known to have higher incidence of hypothyroidism. Results: From 2008 through 2013, 82 female and 59 male patients with aneurysms were identified for this study and were matched with equal numbers of controls. Among women, hypothyroidism was present in 20.7% (17/82) among patients with cerebral aneurysms vs. in only 6.1% (5/82) among matched controls: odds ratio (OR) 4.03 (95% CI 1.41-11.51, p=0.01). Among men, 8.5% (5/59) cases and 0/59 controls had hypothyroidism, showing no significant association, with an odds ratio of 12.01 (95% CI 0.65-222.3, p=0.095). Conclusion: We found a significant association of history of hypothyroidism with cerebral aneurysm in women in our patient cohort. Given the potential pathophysiologic connection between hypothyroidism and vascular wall dysfunction, this should be explored further.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 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".