Association of Cardiac Biomarkers With Major Adverse Cardiovascular Events in High-risk Patients With Diabetes
Bibliographic record
Abstract
Importance: Dapagliflozin reduces the risk of hospitalizations for heart failure and the progression of chronic kidney disease in patients with and without type 2 diabetes (T2D), whereas the effects on reducing atherosclerotic events appear less clear. Objective: To explore whether N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hsTnT) levels can identify a subset of patients with T2D at higher risk and who might benefit more from dapagliflozin with regard to atherosclerotic events. Design, Setting, and Participants: This was a secondary analysis of the DECLARE-TIMI 58 trial, a randomized clinical trial of dapagliflozin in patients with T2D and either multiple risk factors for atherosclerotic cardiovascular disease (ASCVD; approximately 60%) or established ASCVD (approximately 40%). All patients with available blood samples at randomization were included in these analyses. Data were collected from May 2013 to September 2018, and data were analyzed from May 2019 to June 2022. Interventions: Dapagliflozin vs placebo. Main Outcomes and Measures: Major adverse cardiovascular events (MACE), the composite of myocardial infarction, ischemic stroke, or cardiovascular death, which was one of dual primary outcomes of the main trial. Results: Of 14 565 included patients, 9143 (62.8%) were male, and the mean (SD) age was 63.9 (6.8) years. When tested individually in a multivariable model for MACE risk, NT-proBNP and hsTnT were each significantly associated with the risk of MACE (adjusted hazard ratio [aHR] per 1 SD in log-transformed biomarker: NT-proBNP, 1.62; 95% CI, 1.49-1.76; hsTnT: 1.59; 95% CI, 1.46-1.74). The magnitude of the association was similar in patients with ASCVD (NT-proBNP: aHR, 1.60; 95% CI, 1.45-1.77; hsTnT: aHR, 1.62; 95% CI, 1.45-1.81) and multiple risk factors for ASCVD (NT-proBNP: aHR, 1.62; 95% CI, 1.40-1.88; hsTnT: aHR, 1.51; 95% CI, 1.29-1.77). Moreover, both biomarkers remained independently associated with MACE when both were included in the multivariable model (NT-proBNP: aHR, 1.46; 95% CI, 1.34-1.60; hsTnT: aHR, 1.39; 95% CI, 1.26-1.53). Modeled as a continuous variable, baseline biomarker levels did not modify the relative treatment effect of dapagliflozin vs placebo with MACE. However, the relative risk reduction numerically grew with higher biomarker levels, as did the baseline risk. Thus, MACE event rates were nominally lower in dapagliflozin-treated vs placebo-treated patients with biomarker concentrations in the top quartile (NT-proBNP: HR, 0.83; 95% CI, 0.71-0.97; absolute risk reduction [ARR], 2.4%; hsTnT: HR, 0.85; 95% CI, 0.72-0.99; ARR, 2.7%), whereas there was no significant treatment effect in patients with biomarkers levels in quartiles 1 to 3 (NT-proBNP: HR, 1.02; 95% CI, 0.88-1.18; ARR, 0%; hsTnT: HR, 0.97; 95% CI, 0.84-1.13; ARR, 0.2%). Conclusions and Relevance: In this study, NT-proBNP and hsTnT levels were associated with the risk for future cardiovascular events in both primary and secondary prevention patients with T2D. Both cardiac biomarkers were helpful to identify patients at very high risk for atherosclerotic events that may derive reduction in risk of MACE with dapagliflozin. Trial Registration: ClinicalTrials.gov Identifier: NCT01730534.
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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) | 0.001 | 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".