P6165Sex differences in compositional plaque volume progression in patients with stable coronary artery disease: observations from a serial CCTA registry
Bibliographic record
Abstract
Abstract Background It is unclear whether sex impacts the plaque volume (PV) progression in patients with stable coronary artery disease (CAD). Purpose To explore whether the total and compositional PV progression rate differ according to sex. Methods We performed a prospective multinational registry of consecutive patients who underwent serial CCTA at ≥2-year interval. Total and compositional PV at baseline and follow-up were quantitatively analysed and normalized using the analysed total vessel length. Multivariate linear regression models were constructed for each women and men. Results Of the 1,255 patients included (median CT interval 3.8 years), 543 were women and 712 were men. Women were older (62±9 years vs. 59±9 years, p<0.001) and had higher total cholesterol level (195±41mg/dL vs. 187±39mg/dL, p=0.002). Prevalence of hypertension, diabetes, and family history of CAD were not different (all p>0.05). At baseline, men possessed greater total PV (131.5±230.5mm3 vs. 97.7±193.6mm3, p=0.005) and a higher prevalence of high-risk plaques (HRP) than women (31% vs. 20%, p<0.001). Annual total PV progression rate was greater in men, driven by the greater non-calcified PV progression (TABLE). In multivariate analysis (TABLE), although total PV progression rate was not different, women were associated with greater calcified PV progression (β=2.83, p=0.004) but slower non-calcified PV progression (β=-3.39, p=0.008) and less development of HRP (β=-0.18, p=0.049) than men. CCTA findings according to sex Univariate analysis Female Sex in Multivariable Analysis Women (n=543) Men (n=712) P β SE P Agatston CACS, /year 0.44±0.7 0.4±0.7 0.332 0.106 0.04 0.006 Total PVnormalized, mm3/year 14.7±23.4 17.8±26.2 0.026 -0.56 1.33 0.677 Calcified PVnormalized, mm3/year 10.5±21.5 10.0±19.1 0.670 2.83 0.98 0.004 Non-calcified PVnormalized, mm3/year 4.2±17.3 7.8±21.2 0.001 -3.39 1.28 0.008 Development of high-risk plaque*, n (%) 86 (15.8) 139 (19.5) 0.092 -0.18 0.09 0.049 In linear multivariate regression analysis adjusted with age, race, HTN, DM, family history, smoking, LDL, statin, anti-platelets, beta-blockers, and PV at baseline, women were associated with greater calcified PV progression and slower non-calcified PV progression. (High-risk plaque was defined as ≥2 of low-attenuation plaque, spotty calcification, and positive remodelling.) Conclusion In this large CCTA cohort, we found that the compositional PV progression differs according to sex. These findings, which are hypothesis generating, suggest that comprehensive plaque evaluation may contribute to further refine risk stratification according to sex. Acknowledgement/Funding This work was supported by the National Research Foundation of Korea funded by the Ministry of Science and ICT (Grant No. 2012027176).
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 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 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".