Evidence map›Paper›PMID 31504448›Full record

ArticleEuropean heart journal2019

Predicting cardiac electrical response to sodium-channel blockade and Brugada syndrome using polygenic risk scores.

Rafik Tadros, Hanno L Tan, ESCAPE-NET Investigators, Sulayman El Mathari, Jan A Kors, Pieter G Postema, Najim Lahrouchi, Leander Beekman, Milena Radivojkov-Blagojevic, Ahmad S Amin and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Guideline
  2. Brugada Syndrome: an exemplar for the genomic basis of sudden death.European journal of human genetics : EJHG · 2026
    Review
  3. Further mystification of SCN5A phenotypes: sodium channel blockade in individuals with loss-of-function sodium channel mutations dangerous or helpful?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 · 2026
    Article
  4. Article
  5. Genetics of Sudden Cardiac Death.Diseases (Basel, Switzerland) · 2025
    Review
  6. Review
  7. Article
  8. Causal Relationship Between Electrocardiogram Parameters and Brugada Syndrome: A Bidirectional Mendelian Randomization Study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. The Role of Genetics in the Management of Heart Failure Patients.International journal of molecular sciences · 2023
    Review
  14. Unravelling NovelInternational journal of molecular sciences · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) Expert Consensus Statement on the state of genetic testing for cardiac diseases.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 · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Rafik TadrosDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Hanno L TanDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
ESCAPE-NET Investigators
Sulayman El MathariDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Jan A KorsDepartment of Medical Informatics, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, GD Rotterdam, The Netherlands.
Pieter G PostemaDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Najim LahrouchiDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Leander BeekmanDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Milena Radivojkov-BlagojevicInstitute of Human Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, Neuherberg, Germany.
Ahmad S AminDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Thomas MeitingerInstitute of Human Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, Neuherberg, Germany.
Michael W TanckDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Arthur A WildeDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Connie R BezzinaDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam Cardiovascular Sciences, Meibergdreef 9, AZ Amsterdam, The Netherlands.
Amsterdam Neuroscience · NLHelmholtz Zentrum München · DEErasmus MC · NLMontreal Heart Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSodium-channel blockers (SCBs) are associated with arrhythmia, but variability of cardiac electrical response remains unexplained. We sought to identify predictors of ajmaline-induced PR and QRS changes and Type I Brugada syndrome (BrS) electrocardiogram (ECG). METHODS AND

resultsIn 1368 patients that underwent ajmaline infusion for suspected BrS, we performed measurements of 26 721 ECGs, dose-response mixed modelling and genotyping. We calculated polygenic risk scores (PRS) for PR interval (PRSPR), QRS duration (PRSQRS), and Brugada syndrome (PRSBrS) derived from published genome-wide association studies and used regression analysis to identify predictors of ajmaline dose related PR change (slope) and QRS slope. We derived and validated using bootstrapping a predictive model for ajmaline-induced Type I BrS ECG. Higher PRSPR, baseline PR, and female sex are associated with more pronounced PR slope, while PRSQRS and age are positively associated with QRS slope (P < 0.01 for all). PRSBrS, baseline QRS duration, presence of Type II or III BrS ECG at baseline, and family history of BrS are independently associated with the occurrence of a Type I BrS ECG, with good predictive accuracy (optimism-corrected C-statistic 0.74).

conclusionWe show for the first time that genetic factors underlie the variability of cardiac electrical response to SCB. PRSBrS, family history, and a baseline ECG can predict the development of a diagnostic drug-induced Type I BrS ECG with clinically relevant accuracy. These findings could lead to the use of PRS in the diagnosis of BrS and, if confirmed in population studies, to identify patients at risk for toxicity when given SCB.

Indexed as

Clinical Decision RulesGenome-Wide Association StudyPolymorphism, Single NucleotideAjmalineAnti-Arrhythmia AgentsBrugada SyndromeDose-Response Relationship, DrugElectrocardiographyFemaleGenetic MarkersGenotyping TechniquesHeart RateHumansInfusions, IntravenousMaleRisk AssessmentAjmalineAnti-Arrhythmia AgentsGenetic MarkersSodium Channel BlockersAjmalineBrugada syndromePolygenic risk scorePRQRS

Identifiers

PMID31504448
PMCPMC6769824
OpenAlexW2972758116

What OpenQuestion holds

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LicenceCC BY-NC
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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.