Evidence map›Paper›PMID 35593128›Full record

ArticleESC heart failure2022

Relationship of diabetes, heart failure, and N-terminal pro-B-type natriuretic peptide with cardiovascular outcomes in patients with atrial fibrillation.

Felix Hofer, Ulrike Pailer, Patrick Sulzgruber, Christian Gerges, Max-Paul Winter, Robert P Giugliano, Michael Gottsauner-Wolf, Martin Hülsmann, Niema Kazem, Lorenz Koller and 4 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Felix HoferDivision of Cardiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0185-7511
Ulrike PailerVienna Healthcare Group, Vienna, Austria.
Patrick SulzgruberDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Christian GergesDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Max-Paul WinterDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Robert P GiuglianoTIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael Gottsauner-WolfDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Martin HülsmannDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Niema KazemDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Lorenz KollerDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Robert SchönbauerDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Alexander NiessnerDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Christian HengstenbergDivision of Cardiology, Medical University of Vienna, Vienna, Austria.
Thomas A ZelnikerDivision of Cardiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-6444-8598
Medical University of Vienna · ATBrigham and Women's Hospital · US

Funding

Austrian Science Fund FWF KLI 876
6 · The paper itself

Abstract

aimsWe aim to explore the relationship of heart failure (HF) and diabetes with cardiovascular (CV) death or hospitalization for HF (HHF) and to study the clinical utility of N-terminal pro-B-type natriuretic peptide (NT-proBNP) in an unselected patient population with atrial fibrillation (AF). METHODS AND

resultsPatients with AF admitted to a tertiary academic center between January 2005 and July 2019 were identified through a search of electronic health records. We used Cox regression models adjusted for age, sex, estimated glomerular filtration rate, diabetes, HF, body mass index, prior myocardial infarction, coronary artery disease, hypertension, smoking, C-reactive protein, and low-density lipoprotein cholesterol. To select the most informative variables, we performed a least absolute shrinkage and selection operator Cox regression with 10-fold cross-validation. In total, 7412 patients (median age 70 years, 39.7% female) were included in this analysis and followed over a median of 4.5 years. Both diabetes [adjusted (Adj.) HR 1.87, 95% CI 1.55-2.25] and HF (Adj. HR 2.57, 95% CI 2.22-2.98) were significantly associated with CV death/HHF after multivariable adjustment. Compared with patients with diabetes, HF patients had a higher risk of HHF but a similar risk of CV and all-cause death. NT-proBNP showed good discriminatory performance (area under the curve 0.78, 95% CI 0.77-0.80) and the addition of NT-proBNP to the covariates used for adjustment resulted in a significant area under the curve improvement (Δ = 0.04, P < 0.001). With least absolute shrinkage and selection operator, the strongest associations for CV death/HHF were obtained for NT-proBNP [HR 1.91 per 1-SD in log-transformed biomarker], HF (HR 1.72), and diabetes (HR 1.56).

conclusionsDiabetes and HF were independently associated with an increased risk of CV death/HHF in an unselected AF patient population, and NT-proBNP improved risk assessment. These findings suggest that AF patients with diabetes and/or HF should be managed not only for their risk of stroke and systemic embolic events but also for CV death/HHF.

Indexed as

Atrial FibrillationDiabetes MellitusHeart FailureAgedFemaleHumansMaleNatriuretic Peptide, BrainPeptide FragmentsPrognosisNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Atrial fibrillationDiabetes mellitusHeart failureNT-proBNP

Identifiers

PMID35593128
PMCPMC9288777
OpenAlexW4280626314

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.