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Prognostic Value of Baseline Plasma Amino-Terminal Pro-Brain Natriuretic Peptide and Its Interactions With Irbesartan Treatment Effects in Patients With Heart Failure and Preserved Ejection Fraction

2011· article· en· W2100166328 on OpenAlexaff
Inder S. Anand, Thomas S. Rector, John G.F. Cleland, Michael A. Kuskowski, Robert S. McKelvie, Hans Persson, John J.V. McMurray, Michael R. Zile, Michel Komajda, Barry M. Massie, Peter E. Carson

Bibliographic record

VenueCirculation Heart Failure · 2011
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersBritish Heart Foundation
KeywordsMedicineIrbesartanInternal medicineHeart failureCardiologyEjection fractionHazard ratioNatriuretic peptideProportional hazards modelBrain natriuretic peptideCohortConfidence intervalBlood pressure

Abstract

fetched live from OpenAlex

BACKGROUND: Plasma concentrations of natriuretic peptides (NPs) are associated with morbidity and mortality in patients with systolic heart failure (HF). However, the role of NP as a prognostic marker in patients with HF and preserved ejection fraction (HFpEF) has not been studied in a large cohort of well-characterized patients. Moreover, it is unclear whether treatments have a differential effect on morbidity and mortality across the spectrum of NP levels. METHODS AND RESULTS: N-terminal pro-brain natriuretic peptide (NT-proBNP) was measured at baseline in 3480 patients in the I-PRESERVE (Irbesartan in Heart Failure with Preserved Ejection Fraction Trial). In a multivariable Cox regression model, NT-proBNP above the median of 339 pg/mL was independently associated with an increased risk of the primary end point of all-cause mortality and prespecified cardiovascular hospitalizations (adjusted hazard ratio [HR], 1.79; 95% CI, 1.56 to 2.10; P<0.001); all-cause mortality (adjusted HR, 2.04; 95% CI, 1.68 to 2.47; P<0.001); and a composite of HF events, including death due to worsening HF or sudden death or hospitalization due to worsening HF (adjusted HR, 1.77; 95% CI, 1.43 to 2.20; P<0.001). There were significant interactions between the effect of irbesartan and median split of baseline NT-proBNP for the primary outcome (P=0.005), all-cause mortality (P=0.05), and the HF composite outcome (P<0.001). Use of irbesartan was associated with improved outcomes in patients with NT-proBNP below, but not above, the median. After adjusting for 20 baseline covariates, irbesartan still had a beneficial effect on the primary outcome (HR, 0.74; 95% CI, 0.60 to 90; P=0.003), all-cause mortality (HR, 0.75; 95% CI, 0.56 to 0.99; P=0.046), and HF composite outcome (HR, 0.57; 95% CI, 0.41 to 0.80; P=0.001) in patients with NT-proBNP below the median. CONCLUSIONS: The unexpected benefit of irbesartan in lower-risk patients with HFpEF in this post hoc analysis may indicate effects on early, but not later, high-risk stages of the disease. These findings question the strategy of using elevated plasma concentrations of NP as a patient selection criterion in HFpEF trials. More studies are needed to support or contest this practice. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT00095238.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.246
Teacher spread0.231 · 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

Citations245
Published2011
Admission routes1
Has abstractyes

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