Abstract 19006: Human Epididymis Protein 4 and Carcinoembryonic Antigen-125: Promising Blood Biomarkers to Identify Diffuse Myocardial Fibrosis in Patients With Severe Aortic Stenosis
Bibliographic record
Abstract
Introduction: Cardiovascular magnetic resonance (CMR) T1 mapping, extracellular volume (ECV) and late gadolinium enhancement (LGE) demonstrate strong agreement with endomyocardial biopsy in evaluating myocardial fibrosis. Human epididymis protein 4(HE4) has been shown as a blood biomarker to identify fibrosis, but the relationship with other blood biomarkers is not well established yet. Hypothesis: determine the correlation between different blood biomarkers and myocardial fibrosis by CMR in patients undergoing transcatheter aortic valve implantation(TAVI). Methods: Forty-three patients were included. The cohort was divided into two groups based on the threshold values of HE4(128.5 pmol/l) and/or CA-125 (19.5 U/ml), before TAVI. Native T1 mapping and ECV were measured at 1280 ms and 26%, respectively, corresponding to the median of the population studied. LGE was qualitatively measured. Results: Patients with higher HE4 plasma levels (> 128.25 pmol/l) and/or CA-125 (>19.5 U/ml) prior to TAVI had more comorbidities and had higher median native T1 mapping values, 1278 ms (1239.25-1280.25) vs 1352 ms (1303.50 -1376.00), p < 0.001, and LGE positive, 10 (55.6%) vs 10 (90.9%); p= 0.046, respectively. HE4 (r=0.34, p=0.03) and CA-125 (r=0.371, p=0.034) correlated with prolonged T1 mapping. No significant correlation was found with other biomarkers: troponin T (r = 0.14, p = 0.41), Nt-proBNP (r=0.28, p=0.089), IL-6 (r=0.189, p= 0.250), procalcitonin, (r =0.132, p =0.420). The addition of elevated plasma levels of HE4 and CA-125, provided significant C-statistics for myocardial fibrosis, AUC [95%CI]: 0.74 [0.58- 0.89], p= 0.008, regarding HE4 AUC [95%CI]: 0.69 [0.52- 0.85], p=0.039, and CA-125 AUC [95%CI]: 0.72 [0.57- 0.88], p= 0.014. On univariable analysis, high plasma levels of HE4 and/or Ca-125 were independently associated with diffuse fibrosis by native T1 mapping OR:9.37, [95% CI: 2.07 - 42.33], p = 0.004 and there was a trend toward focal fibrosis by LGE + OR: 8.00, [95% CI: 0.83 - 76.36], p = 0.071. Conclusion: Elevated HE4 and/or Ca-125 plasma levels correlated with prolonged native T1 mapping. The combination of HE4 values ≥ 128 pmol/l and CA-125 ≥ 19.5 U/ml may provide a useful screening biomarker to identify diffuse myocardial fibrosis in AS.
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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 | 0.000 | 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) | 0.004 | 0.001 |
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".