Evidence map›Paper›PMID 37140072›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023

CineECG analysis provides new insights into Familial ST-segment Depression Syndrome.

Rasmus Frosted, Christian Paludan-Müller, Oliver Bundgaard Vad, Morten Salling Olesen, Henning Bundgaard, Peter van Dam, Alex Hørby Christensen

Open access · hybridAbstract read
In one paragraph

Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Rasmus FrostedDepartment of Cardiology, The Heart Centre, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.ORCID 0000-0003-3843-857X
Christian Paludan-MüllerDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark.ORCID 0000-0002-7724-544X
Oliver Bundgaard VadLaboratory for Molecular Cardiology, Department of Cardiology, The Heart Centre, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.ORCID 0000-0001-8416-0543
Morten Salling OlesenDepartment of Cardiology, The Heart Centre, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Henning BundgaardDepartment of Cardiology, The Heart Centre, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.ORCID 0000-0002-0563-7049
Peter van DamDepartment of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.ORCID 0000-0002-7962-1760
Alex Hørby ChristensenDepartment of Cardiology, The Heart Centre, Copenhagen University Hospital-Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.ORCID 0000-0002-6855-1496
University of Copenhagen · DKCopenhagen University Hospital · DKUtrecht University · NL

Funding

NordForskThe Department of Clinical MedicineThe Independent Research Fund Denmark 0134-00363BThe Netherlands Cardiovascular Research InitiativeThe Novo Nordisk Foundation NNF20OC0065799The Research Foundation at RigshospitaletUniversity of Copenhagen
6 · The paper itself

Abstract

aimsFamilial ST-segment Depression Syndrome (Fam-STD) is a novel inherited cardiac disease associated with arrhythmias and sudden cardiac death. This study aimed at investigating the cardiac activation pathway in patients with Fam-STD, modelling the electrocardiogram (ECG) phenotype, and performing in-depth ST-segment analyses. METHODS AND

resultsCineECG analysis of patients with Fam-STD and age- and sex-matched controls. The groups were compared using the CineECG software which included the trans-cardiac ratio and the electrical activation pathway. We simulated the Fam-STD ECG phenotype by adjusting action potential duration (APD) and action potential amplitude (APA) in specific cardiac regions. High-resolution ST-segment analyses were performed per lead by dividing the ST-segment into nine 10 ms subintervals. Twenty-seven Fam-STD patients (74% females, mean age 51.6 ± 6.2 years) and 83 matched controls were included. Among Fam-STD patients, electrical activation pathway analysis in the anterior-basal orientation showed significantly abnormal direction toward the basal areas of the heart starting from QRS 60-89 ms until Tpeak-Tend (all P < 0.001). Simulations with shortened APD and reduced APA in the left ventricle basal regions recapitulated the Fam-STD ECG phenotype. Detailed ST-segment analyses showed significant differences in all nine 10 ms subintervals (all P < 0.01), with the most prominent findings during the 70-79/80-89 ms intervals.

conclusionCineECG analyses indicated abnormal repolarization with basal directions, and the Fam-STD ECG phenotype was simulated by reducing APD and APA in the left ventricle basal regions. Detailed ST-analysis showed amplitudes consistent with the proposed diagnostic criteria for Fam-STD patients. Our findings provide new insight into the electrophysiological abnormalities of Fam-STD.

Indexed as

Arrhythmias, CardiacElectrocardiographyFemaleHumansMaleMiddle AgedSyndromeArrhythmiaCineECGECGsimElectrical activation pathwayElectrocardiogramFamilial ST-segment Depression Syndrome

Identifiers

PMID37140072
PMCPMC10228618
OpenAlexW4368357898

What OpenQuestion holds

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LicenceCC BY-NC
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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.