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Record W3092112220 · doi:10.1016/j.jchf.2020.08.008

N-Terminal Pro-B-Type Natriuretic Peptide and Clinical Outcomes

2020· article· en· W3092112220 on OpenAlexaff
Justin A. Ezekowitz, Christopher M. O’Connor, Richard W. Troughton, Wendimagegn Alemayehu, Cynthia M. Westerhout, Adriaan A. Voors, Javed Butler, Carolyn S.P. Lam, Piotr Ponikowski, Michele Emdin, Mahesh J. Patel, Burkert Pieske, Lothar Roessig, Adrian F. Hernandez, Paul W. Armstrong

Bibliographic record

VenueJACC Heart Failure · 2020
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsCanadian VIGOUR CentreUniversity of Alberta
FundersRoche DiagnosticsMerck Sharp and DohmeServierNational Medical Research CouncilCytokineticsBoston Scientific CorporationAmgenBoehringer IngelheimMedtronicRocheNovartisBayerAstraZenecaAmerican RegentMeso Scale DiagnosticsSanofiMerckVifor PharmaBristol-Myers Squibb Foundation
KeywordsNatriuretic peptideMedicineHeart failureHazard ratioInternal medicineEjection fractionQuartileClinical endpointRandomizationConfidence intervalPlaceboCardiologyClinical trialGastroenterology

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this study was to examine the treatment effect of vericiguat in relation to N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels at randomization. BACKGROUND: Vericiguat compared with placebo reduced the primary outcome of cardiovascular death (CVD) or heart failure hospitalization (HFH) in patients with HF with reduced ejection fraction (HFrEF) in the VICTORIA (A Study of Vericiguat in Participants With Heart Failure With Reduced Ejection Fraction) trial. Because an interaction existed between treatment and the primary outcome according to pre-specified quartiles of NT-proBNP at randomization, we examined this further. METHODS: This study evaluated the NT-proBNP relationship with the primary outcome in 4,805 of 5,050 patients as a risk-adjusted, log-transformed continuous variable. Hazard ratios (HRs) and 95% confidence intervals (CIs) are presented. RESULTS: transformation, p for interaction = 0.002). A significant association between treatment effects existed in patients with levels <4,000 pg/ml and remained evident up to 8,000 pg/ml. A 23% relative risk reduction occurred in the primary endpoint with NT-proBNP ≤4,000 pg/ml (HR: 0.77; 95% CI: 0.68 to 0.88). For NT-proBNP values ≤4,000 pg/ml (n = 3,100), the HR was 0.78 (95% CI: 0.67 to 0.90) for HFH and 0.75 (95% CI: 0.60 to 0.94) for CVD. For NT-proBNP ≤8,000 pg/ml (n = 4,133), the HR was 0.85 (95% CI: 0.76 to 0.95) for the primary outcome, 0.84 (95% CI: 0.75 to 0.95) for HFH, and 0.84 (95% CI: 0.71 to 0.99) for CVD. For NT-proBNP >8,000 pg/ml (n = 672), the HR was 1.16 (95% CI: 0.94 to 1.41) for the primary outcome. CONCLUSIONS: A reduction in the primary composite endpoint and its CVD and HFH components was observed in patients on vericiguat compared with subjects on placebo with NT-proBNP levels up to 8,000 pg/ml. This provided new insight into the benefit observed in high-risk patients with worsening HFrEF. (A Study of Vericiguat in Participants With Heart Failure With Reduced Ejection Fraction [HFrEF] [MK-1242-001] [VICTORIA]; NCT02861534).

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)0.004
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.342
Teacher spread0.298 · 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

Citations139
Published2020
Admission routes1
Has abstractyes

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