The Association of N-Terminal Pro-Brain Natriuretic Peptide With Time to Clinical Worsening in Hispanic Patients With Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Background: Measurement of N-terminal pro-brain natriuretic peptide (NT-proBNP) level is an important parameter in the risk assessment of patients with pulmonary arterial hypertension (PAH). Data about the prognostic value of NT-proBNP in the Hispanic PAH population are lacking. Historically, clinical trials in PAH have only included a minority of Hispanic patients. It has been reported that baseline NT-proBNP levels differ between different ethnicities. Furthermore, NT-proBNP levels can be impacted by declining renal function, making its interpretation difficult regarding clinical decision making. Methods: In a retrospective single-center cohort analysis, Hispanic patients with PAH had a baseline outpatient NT-proBNP level drawn during a period of clinical stability and were followed for 1 year to monitor for time to clinical worsening (TTCW). The association of baseline NT-proBNP and TTCW was assessed in patients with normal and abnormal renal function. Results: A total of 26 patients (22%) met the clinical endpoint of clinical worsening. Twenty-seven patients (24%) had chronic kidney disease (CKD). At baseline NT-proBNP levels showed a significant inverse correlation with 6-min walk test (6MWD, r = -0.382, P = 0.02), and a significant positive correlation with renal function (r = 0.273, P = 0.05). NT-proBNP levels did not correlate with age (r = 0.19, P = 0.11) or body mass index (BMI) (r = -0.292, P = 0.061). NT-proBNP levels of > 1,415 ng/L were significantly associated with shorter TTCW (P < 0.01) in all patients and in patients with CKD (P = 0.03). A stepwise increase in NT-proBNP levels by 100 ng/L was associated with a higher risk of meeting the clinical endpoint of TTCW in patients with normal renal function (hazard ratio (HR) = 1.8, P < 0.01) and CKD (HR = 1.5, P < 0.01). Conclusions: In Hispanic patients with PAH, NT-proBNP is a valuable tool to predict 1-year TTCW, independent of renal function.
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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 | 0.004 | 0.001 |
| 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 | 0.001 |
| 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".