The Prognostic Value of Troponin T and N-terminal pro B-type Natriuretic Peptide, Alone and in Combination, in Heart Failure Patients with and without Diabetes
Bibliographic record
Abstract
AIMS: We examined the prognostic importance of N-terminal pro B-type natriuretic peptide (NT-proBNP) and troponin T (TnT) in heart failure patients with and without diabetes. METHODS AND RESULTS: We measured NT-proBNP and TnT in the biomarker substudy of the Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure trial (PARADIGM-HF). Of 1907 patients, 759 (40%) had diabetes. Median TnT in patients with diabetes was 18 (interquartile range 11-27) ng/L and 13 (9-21) ng/L in those without (P < 0.001). The TnT frequency-distribution curve was shifted to the right in patients with diabetes, compared to those without diabetes. By contrast, NT-proBNP did not differ between patients with and without diabetes. Diabetes and each biomarker were predictive of worse outcomes. Thus, patients with diabetes, an elevated TnT and a NT-proBNP level in the highest tertile (9% of all patients) had an absolute risk of cardiovascular death or heart failure hospitalization of 265 per 1000 person-years, compared to a rate of 42 per 1000 person-years in those without diabetes, a TnT < 18 ng/L and a NT-proBNP in the lowest tertile (16% of all patients). TnT remained an independent predictor of adverse outcomes in multivariable analyses including NT-proBNP. CONCLUSION: TnT is elevated to a greater extent in heart failure patients with diabetes compared to those without (whereas NT-proBNP is not). TnT and NT-proBNP are additive in predicting risk and when combined help identify diabetes patients at extremely high absolute risk.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".