Evidence map›Paper›PMID 35383463›Full record

ArticleJournal of the American Heart Association2022

Risk Estimates of Imminent Cardiovascular Death and Heart Failure Hospitalization Are Improved Using Serial Natriuretic Peptide Measurements in Patients With Coronary Artery Disease and Type 2 Diabetes.

Emil Wolsk, Brian Claggett, Rafael Diaz, Kenneth Dickstein, Hertzel C Gerstein, Lars Køber, Eldrin F Lewis, Aldo P Maggioni, John J V McMurray, Jeffrey L Probstfield and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 11 institutions in 7 countries.

Emil WolskDivision of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA.ORCID 0000-0002-6064-062X
Brian ClaggettDivision of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA.ORCID 0000-0002-4215-9218
Rafael DiazEstudios Clínicos Latinoamérica Rosario Argentina.ORCID 0000-0003-2181-9579
Kenneth DicksteinUniversity of Bergen Stavanger University Hospital Stavanger Norway.
Hertzel C GersteinDivision of Endocrinology & Metabolism McMaster University Hamilton ON Canada.
Lars KøberDepartment of Cardiology Rigshospitalet Copenhagen Denmark.
Eldrin F LewisCardiovascular Medicine Department of Medicine Stanford University Stanford CA.
Aldo P MaggioniResearch Center of the Italian Association of Hospital Cardiologists Florence Italy.ORCID 0000-0003-2764-6779
John J V McMurrayBritish Heart Foundation Cardiovascular Research Centre University of Glasgow Glasgow United Kingdom.ORCID 0000-0002-6317-3975
Jeffrey L ProbstfieldDivision of Cardiology University of Washington Medical Center Seattle WA.ORCID 0000-0002-4899-9971
Matthew C RiddleDivision of Endocrinology Oregon Health and Science University Portland OR.
Scott D SolomonDivision of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA.ORCID 0000-0003-3698-9597
Jean-Claude TardifMontreal Heart Institute Université de Montréal Montreal Canada.ORCID 0000-0002-8200-8983
Marc A PfefferDivision of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA.ORCID 0000-0003-3876-7568
Brigham and Women's Hospital · USBritish Heart Foundation · GBEstudios Clínicos Latinoamérica · ARMcMaster University Medical Centre · CAMontreal Heart Institute · CAOregon Health & Science University · USRigshospitalet · DKSocietà Italiana di Cardiologia · ITStanford Medicine · USStavanger University Hospital · NOUniversity of Washington Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Baseline and temporal changes in natriuretic peptide (NP) concentrations have strong prognostic value with regard to long-term cardiovascular risk stratification. To increase the clinical utility of NP sampling for patient management, we wanted to assess the incremental predictive value of 2 serial NP measurements compared with a single measurement and provide absolute risk estimates for cardiovascular death or heart failure hospitalization (HFH) within 6 months based on 2 serial NP measurements. Methods and Results Consecutive NP samples obtained from 5393 patients with a recent coronary event and type 2 diabetes enrolled in the ELIXA (Evaluation of Cardiovascular Outcomes in Patients With Type 2 Diabetes After Acute Coronary Syndrome During Treatment With Lixisenatide) trial were used to construct best logistic regression models with outcome of cardiovascular death or HFH (136 events). Absolute risk estimates of cardiovascular death or HFH within 6 months using either BNP (B-type natriuretic peptide) or NT-proBNP (N-terminal pro-BNP) serial measurements were depicted based on the concentrations of 2 serial NP measurements. During the 6-month follow-up periods, the incidence rate (±95% CIs) of cardiovascular death or HFH for patients was 14.0 (11.8‒16.6) per 1000 patient-years. Risk prediction depended on NP concentrations from both prior and current sampling. NP sampling 6 months apart improved the predictive value and reclassification of patients compared with a single sample (AUROC [Area Under the Receiver Operating Characteristic curve]: BNP,

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2Heart FailureBiomarkersHospitalizationHumansNatriuretic Peptide, BrainNatriuretic PeptidesPeptide FragmentsPredictive Value of TestsPrognosisVasodilator AgentsBiomarkersNatriuretic Peptide, BrainNatriuretic PeptidesPeptide FragmentsVasodilator AgentsBNPELIXAheart failurenatriuretic peptidesrisk stratification

Identifiers

PMID35383463
PMCPMC9238457
OpenAlexW4224284108

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.