Longitudinal quantitative assessment of coronary atherosclerosis related to normal systolic blood pressure maintenance in the absence of established cardiovascular disease
Bibliographic record
Abstract
Abstract Background Atherosclerosis‐related adverse events are commonly observed even in conditions with low cardiovascular (CV) risk. Longitudinal data regarding the association of normal systolic blood pressure maintenance (SBP maintain ) with coronary plaque volume changes (PVC) has been limited in adults without traditional CV disease. Hypothesis Normal SBP maintain is important to attenuate coronary atherosclerosis progression in adults without baseline CV disease. Methods We analyzed 95 adults (56.7 ± 8.5 years; 40.0% men) without baseline CV disease who underwent serial coronary computed tomographic angiography with mean 3.5 years of follow‐up. All participants were divided into two groups of normal SBP maintain (follow‐up SBP < 120 mm Hg) and ≥elevated SBP maintain (follow‐up SBP ≥ 120 mm Hg). Annualized PVC was defined as PVC divided by the interscan period. Results Compared to participants with normal SBP maintain , those with ≥elevated SBP maintain had higher annualized total PVC (mm 3 /year) (0.0 [0.0–2.2] vs. 4.1 [0.0–13.0]; p < .001). Baseline total plaque volume ( β = .10) and the levels of SBP maintain ( β = .23) and follow‐up high‐density lipoprotein cholesterol ( β = −0.28) were associated with annualized total PVC (all p < .05). The optimal cutoff of SBP maintain for predicting plaque progression was 118.5 mm Hg (sensitivity: 78.2%, specificity: 62.5%; area under curve: 0.700; 95% confidence interval [CI]: 0.59–0.81; p < .05). SBP maintain ≥ 118.5 mm Hg (odds ratio [OR]: 4.03; 95% CI: 1.51–10.75) and baseline total plaque volume (OR: 1.03; 95% CI: 1.01–1.06) independently influenced coronary plaque progression (all p < .05). Conclusion Normal SBP maintain is substantial to attenuate coronary atherosclerosis progression in conditions without established CV disease.
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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 | 0.003 | 0.003 |
| 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 | 0.001 |
| 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".