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Prognostic Importance of NT-proBNP (N-Terminal Pro-B-Type Natriuretic Peptide) Following High-Risk Myocardial Infarction in the PARADISE-MI Trial

2023· article· en· W4367600456 on OpenAlexaff
Karola Jering, Brian Claggett, Marc A. Pfeffer, Christopher B. Granger, Lars Køber, Eldrin F. Lewis, Aldo P. Maggioni, Douglas L. Mann, John J.V. McMurray, Margaret F. Prescott, Jean L. Rouleau, Scott D. Solomon, Philippe Gabríel Steg, Dirk von Lewinski, Eugene Braunwald

Bibliographic record

VenueCirculation Heart Failure · 2023
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart InstituteHealth Care Foundation
FundersDaiichi Sankyo EuropeNational Institutes of HealthDuke Clinical Research InstituteNovo NordiskServierUniversity of GlasgowAbiomedBoston Scientific CorporationCytokineticsBristol-Myers SquibbEli Lilly and CompanyAstraZenecaBayer CorporationAlnylam PharmaceuticalsGlaxoSmithKlineAmgenPfizer
KeywordsMedicineNatriuretic peptideMyocardial infarctionInternal medicineCardiologyHeart failure

Abstract

fetched live from OpenAlex

Background: NT-proBNP (N-terminal pro-B-type natriuretic peptide) is a potent predictor of death and heart failure (HF) across multiple populations. We evaluated the prognostic importance of NT-proBNP in patients with acute myocardial infarction (MI) complicated by left ventricular systolic dysfunction, pulmonary congestion, or both and ≥1 of 8 risk-augmenting factors enrolled in the PARADISE-MI trial (Prospective ARNI vs ACE Inhibitor Trial to Determine Superiority in Reducing Heart Failure Events After Myocardial Infarction). Methods: Patients were randomized to sacubitril/valsartan 200 mg or ramipril 5 mg twice daily within 0.5 to 7 days of a MI. Patients with prior HF were excluded. NT-proBNP and hs-cTnT (high-sensitivity troponin T) were collected at randomization in a prespecified substudy of 1129 patients. The primary end point of PARADISE-MI was a composite of cardiovascular death or incident HF (hospitalization or outpatient symptomatic HF), analyzed as time-to-first event; additional end points included all-cause death and the composite of fatal or nonfatal MI or stroke. Results: Median NT-proBNP was 1757 ng/L (25th–75th percentiles, 896–3462 ng/L) at randomization (4.0±1.8 days after the index MI). Patients in the highest quartile of NT-proBNP were older, more commonly women and had more hypertension, atrial fibrillation, renal dysfunction, and pulmonary congestion on presentation (all P <0.001). NT-proBNP was strongly associated with the primary end point (adjusted hazard ratio, 1.45 per doubling of NT-proBNP; [95% CI, 1.23–1.70]), adjusted for clinical variables and baseline hs-cTnT. NT-proBNP was also independently associated with all-cause death (adjusted hazard ratio, 1.74 [95% CI, 1.38–2.21]) and fatal or nonfatal MI or stroke (adjusted hazard ratio, 1.24 [95% CI, 1.05–1.45]). NT-proBNP did not significantly modify the neutral treatment effect of sacubitril/valsartan relative to ramipril ( P interaction=0.46). Conclusions: Within the first week of a high-risk MI NT-proBNP is associated with incident HF, death and atherosclerotic events. This prognostic information is independent of hs-cTnT. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02924727.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.290
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations51
Published2023
Admission routes1
Has abstractyes

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