Evidence map›Paper›PMID 33574021›Full record

ArticleOpen heart2021

Associations between left bundle branch block with different PR intervals, QRS durations, heart rates and the risk of heart failure: a register-based cohort study using ECG data from the primary care setting.

Marc Meller Søndergaard, Johannes Riis, Karoline Willum Bodker, Steen Møller Hansen, Jesper Nielsen, Claus Graff, Adrian Holger Pietersen, Jonas Bille Nielsen, Bhupendar Tayal, Christoffer Polcwiartek and 3 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Open heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Prognosis of CRT-treated and CRT-untreated unselected population with LBBB in Stockholm County.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  6. 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

13 authors at 5 institutions in 1 country.

Marc Meller SøndergaardDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, Denmark marc-m-s12@hotmail.com.ORCID 0000-0001-6059-4478
Johannes RiisDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, Denmark.
Karoline Willum BodkerDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, Denmark.
Steen Møller HansenDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, Denmark.
Jesper NielsenDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, Denmark.
Claus GraffDepartment of Health, Science and Technology, Aalborg University Faculty of Health Sciences, Aalborg, Denmark.
Adrian Holger PietersenDepartment of Cardiology, Nephrology and Endocrinology, Nordsjaellands Hospital, Hillerod, Denmark.
Jonas Bille NielsenUniversity of Copenhagen, Danish National Research Foundation Centre for Cardiac Arrhythmia (DARC), Copenhagen, Denmark.
Bhupendar TayalDepartment of Cardiology, Hospital Vendsyssel in Hjørring, Hjorring, Denmark.
Christoffer PolcwiartekDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, North Denmark Region, Denmark.
Christian Torp-PedersenDepartment of Cardiology, Nordsjællands Hospital, Copenhagen, Denmark.
Peter SoegaardCardiology Clinic Heart-Lung, Aalborg University Hospital, Aalborg, Denmark.
Kristian Hay KragholmDepartment of Clinical Epidemiology, Aalborg University Hospital, Aalborg, Denmark.
Aalborg University Hospital · DKNordsjællands Hospital · DKUniversity of Copenhagen · DKAalborg University · DKRegionshospital Nordjylland · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimLeft bundle branch block (LBBB) is associated with an increased risk of heart failure (HF). We assessed the impact of common ECG parameters on this association using large-scale data. METHODS AND

resultsUsing ECGs recorded in a large primary care population from 2001 to 2011, we identified HF-naive patients with a first-time LBBB ECG. We obtained information on sex, age, emigration, medication, diseases and death from Danish registries. We investigated the association between the PR interval, QRS duration, and heart rate and the risk of HF over a 2-year follow-up period using Cox regression analysis.Of 2471 included patients with LBBB, 464 (18.8%) developed HF during follow-up. A significant interaction was found between QRS duration and heart rate (p<0.01), and the analyses were stratified on these parameters. Using a QRS duration <150 ms and a heart rate <70 beats per minute (bpm) as the reference, all groups were statistically significantly associated with the development of HF. Patients with a QRS duration ≥150 ms and heart rate ≥70 bpm had the highest risk of developing HF (HR 3.17 (95% CI 2.41 to 4.18, p

conclusionProlonged QRS duration and higher heart rate were associated with increased risk of HF among primary care patients with LBBB, while no association was observed with PR interval. Patients with LBBB with both a prolonged QRS duration (≥150 ms) and higher heart rate (≥70 bpm) have the highest risk of developing HF.

Indexed as

ElectrocardiographyPrimary Health CareRegistriesAgedAged, 80 and overBundle-Branch BlockCardiac Resynchronization TherapyFemaleFollow-Up StudiesHeart FailureHeart RateHumansMaleMiddle AgedRetrospective StudiesStroke Volume12 lead ECGepidemiologyprimary care

Identifiers

PMID33574021
PMCPMC7880100
OpenAlexW3128695110

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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.