Association of Arterial Stiffness with Silent Cerebrovascular Lesions: The Ohasama Study
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Bibliographic record
Abstract
BACKGROUND: Arterial stiffness is a risk factor for symptomatic stroke, and is associated with symptomatic cerebral infarction and cognitive impairment. Hence, we hypothesized that arterial stiffness would be a significant determinant of silent cerebrovascular lesions. METHODS: The subjects were 363 individuals without symptomatic cerebrovascular lesions who had their arterial stiffness assessed by brachial-ankle pulse wave velocity (baPWV) measurement. The subjects were classified into two groups by the presence or absence of lacunar infarcts, as well as into three groups by grade of white matter hyperintensity (WMH). baPWV was compared among these groups. RESULTS: Eighty-six subjects had lacunar infarcts. Of 138 subjects with WMHs, 102 were classified as having grade 1 and 36 as having grade 2 or 3 WMHs. baPWV was significantly higher in subjects with lacunar infarcts than in those without (17.3 ± 0.3 vs. 16.4 ± 0.2 m/s). baPWV tended to increase with higher WMH grade (16.2 ± 0.2, 16.9 ± 0.3, and 17.8 ± 0.5 m/s in grade 0, 1, and 2 or 3, respectively) after adjustments for confounding factors. The adjusted odds ratio (OR) for lacunar infarcts in subjects with middle-tertile baPWV was significantly higher (OR, 2.37; 95% confidence interval, CI, 1.10-5.11) and the OR in subjects with the highest-tertile baPWV tended to be higher (OR 2.26; 95% CI 0.99-5.45) compared with the lowest-tertile baPWV. The adjusted OR for WMH tended to increase with increased baPWV. CONCLUSIONS: Arterial stiffness appeared to be associated with the presence of a lacunar infarct and WMH, independently of the risks for other cerebrovascular diseases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 it