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Record W2888326854 · doi:10.1001/jamacardio.2018.2568

Association of Natriuretic Peptides With Cardiovascular Prognosis in Heart Failure With Preserved Ejection Fraction

2018· article· en· W2888326854 on OpenAlexaff
Peder L. Myhre, Muthiah Vaduganathan, Brian Claggett, Inder S. Anand, Nancy K. Sweitzer, James C. Fang, Eileen O’Meara, Sanjiv J. Shah, Akshay S. Desai, Eldrin F. Lewis, Jean L. Rouleau, Bertram Pitt, Marc A. Pfeffer, Scott D. Solomon

Bibliographic record

VenueJAMA Cardiology · 2018
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart InstituteUniversité de Montréal
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineEjection fractionHeart failureInternal medicineCardiologyHeart failure with preserved ejection fractionBody mass indexNatriuretic peptideRenal functionAtrial fibrillationWaistCohort

Abstract

fetched live from OpenAlex

Importance: Contemporary clinical trials of heart failure with preserved ejection fraction (HFpEF) apply natriuretic peptide (NP) thresholds to identify patients who are more likely to have the disease of interest and to enrich the baseline risk of the enrolled cohort. Objective: To determine whether age, race/ethnicity, obesity, renal function, and atrial fibrillation (AF) affect the levels of NPs in HFpEF and whether the prognostic significance of NPs varies in these clinically important subgroups. Design, Setting, and Participants: This secondary analysis of the Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial (TOPCAT) evaluated the distribution and prognostic significance of NPs across 6 subgroups comprising 1057 adult patients (60%) in the Americas region of TOPCAT with symptomatic heart failure (HF) and a left ventricular ejection fraction of 45% or more with available NPs at baseline. Exposures: Natriuretic peptides were log-transformed and standardized (expressed per 1 SD, z score) and assessed in 6 subgroups: age (cutoff, 70 years), black race, body mass index (BMI; calculated as weight in kilograms divided by height in meters squared; cutoff, 30 kg/m2), waist circumference (cutoff, 102 cm for men, 88 cm for women), estimated glomerular filtration rate (cutoff, 60 mL/min/1.73 m2), and a history of AF. Main Outcomes and Measures: Time to composite cardiovascular death, hospitalization for HF, or aborted cardiac arrest at mean (SD) 2.4-year (1.5) follow-up. Results: Of 1057 participants, the mean (SD) age was 72 (10) years, 183 (17.3%) were black, the mean (SD) BMI was 33.4 (8.6) kg/m2, the mean (SD) estimated glomerular filtration rate was 64.6 (21.8) mL/min/1.73 m2, and 472 (45%) had a history of AF. Median B-type NP (n = 698) and N-terminal pro-B-type NP concentrations (n = 359) were 257 (interquartile range, 149-443) ng/L and 959 (interquartile range, 554-2015) ng/L, respectively. Natriuretic peptide concentrations varied by up to 0.5 SD within the 6 subgroups, being higher in older patients with nonblack race, a lower BMI, a lower waist circumference, a lower estimated glomerular filtration rate, and a history of AF. Elevated NP levels (per 1-SD increase) were independently associated with an increased risk of the primary outcome (adjusted hazard ratio, 1.36; 95% CI, 1.22-1.54; P < .001) consistently across all investigated subgroups (interaction P > .05). In TOPCAT Americas (n = 1767), 791 (45%) were enrolled based on elevated NP levels as the qualifying criterion (as opposed to a history of HF hospitalization). This proportion was 31% (93 of 302), 34% (258 of 760), and 39% (443 of 1144) for black race, younger than 70 years, and a BMI of 30 kg/m2 or greater, respectively. Conclusions and Relevance: Natriuretic peptides remain important biomarkers of prognosis in HFpEF, even in subgroups who tend to have lower NP levels. A single, absolute NP threshold for inclusion in contemporary HFpEF trials may lead to an underrepresentation of certain demographic and clinical subgroups. Trial Registration: ClinicalTrials.gov Identifier: NCT00094302.

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)0.005
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 score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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".

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Citations66
Published2018
Admission routes1
Has abstractyes

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