Prognostic utility of N-terminal pro B-type natriuretic peptide ratio in mixed aortic valve disease
Bibliographic record
Abstract
OBJECTIVE: We aimed to assess the incremental prognostic value of N-terminal-pro-B-type natriuretic peptide (Nt-proBNP) for risk stratification in mixed aortic valve disease (MAVD) patients. METHODS: We included 556 (73±12 years, 37% women) consecutive patients with at least a moderate aortic stenosis (AS) or aortic regurgitation (AR) lesion with a concomitant AS or AR of any severity in whom Nt-proBNP was measured and expressed as its ratio (measured Nt-proBNP divided by the upper limit of normal Nt-proBNP for age and sex). The primary endpoint was all-cause mortality. RESULTS: Baseline median Nt-proBNP ratio was 3.8 (IQR: 1.5-11.3), and the median follow-up was 5.6 years (4.8-6.1). Early aortic valve replacement (AVR) was performed within 3 months in 423 (76%) patients, while 133 (24%) remained initially under medical treatment. In comprehensive multivariable analyses, Nt-proBNP ratio was significantly associated with excess mortality (continuous variable: HR (95% CI): 1.24 (1.04 to 1.47), p=0.02; Nt-proBNP ratio ≥3: 2.41 (1.33 to 4.39), p=0.004). The independent prognostic value was also observed in patients with severe or non-severe AS/AR, and those treated by early-AVR (all p<0.04). Nt-proBNP ratio as continuous and dichotomic (≥3) variables showed incremental prognostic value (all net reclassification index >0.42, all p≤0.008). After early-AVR, Nt-proBNP ratio ≥3 was associated with higher 30-day mortality (9 (4%) vs 1 (0.5%), p=0.02). CONCLUSIONS: In this series of MAVD patients, Nt-proBNP ratio was a powerful predictor of early and long-term mortality, even in patients with both non-severe AS/AR. Moreover, early-AVR may be an option for patients with Nt-proBNP ratio ≥3. Further randomised studies are needed to validate this last point.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".