Predictive Value of NT-proBNP in Vascular Surgery Patients with COPD and Normal Left Ventricular Systolic Function
Bibliographic record
Abstract
N-terminal pro-B-type natriuretic peptide (NT-proBNP) is commonly used to identify a cardiac cause of dyspnoea. However, patients with chronic obstructive pulmonary disease (COPD) may also have increased plasma NT-proBNP levels because of right-sided myocardial stress caused by pulmonary hypertension. We investigated the relationship between COPD and elevated NT-proBNP levels as well as the impact of elevated NT-proBNP levels on mortality in vascular surgery patients with normal left ventricular systolic function. Prior to vascular surgery, NT-proBNP levels, pulmonary function and left ventricular ejection fraction (LVEF) were assessed in 376 patients. Only patients with a LVEF > 40% were included; n = 261. Elevated NT-proBNP levels were defined as > or =500 pg/ml. Firstly, we assessed the relationship between COPD and NT-proBNP levels. Secondly, we investigated the association between elevated NT-proBNP levels and one-year mortality. COPD was independently associated with elevated NT-proBNP levels (OR 3.36, 95%CI 1.30-8.65) with significant associations found for mild and severe COPD. Elevated NT-proBNP levels were associated with increased one-year mortality in patients with (HR 7.73, 95%CI 1.60-37.43) and without COPD (HR 3.44, 95%CI 1.10-10.73). COPD was associated with elevated NT-proBNP levels in patients with a normal LVEF undergoing vascular surgery. Elevated NT-proBNP levels independent of other well-established risk factors were associated with increased one-year mortality. NT-proBNP may be useful biomarker to risk stratify patients with COPD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".