Evidence map›Paper›PMID 31573144›Full record

ArticleCongenital heart disease2019

Prolonged T

Jim T Vehmeijer, Zeliha Koyak, A Suzanne Vink, Werner Budts, Louise Harris, Candice K Silversides, Erwin N Oechslin, Aeilko H Zwinderman, Barbara J M Mulder, Joris R de Groot

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Congenital heart disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. A Longer TJournal of clinical medicine · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Prolonged TCongenital heart disease · 2019
    Article
  11. Review
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

10 authors at 4 institutions in 4 countries.

Jim T VehmeijerDepartment of Clinical and Experimental Cardiology, Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-1428-3748
Zeliha KoyakDepartment of Clinical and Experimental Cardiology, Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
A Suzanne VinkDepartment of Clinical and Experimental Cardiology, Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Werner BudtsDepartment of Cardiology, Universitair Ziekenhuis Leuven, Leuven, Belgium.
Louise HarrisDivision of Cardiology, Peter Munk Cardiac Centre, Toronto Congenital Cardiac Centre for Adults, University of Toronto, Toronto, Ontario, Canada.
Candice K SilversidesDivision of Cardiology, Peter Munk Cardiac Centre, Toronto Congenital Cardiac Centre for Adults, University of Toronto, Toronto, Ontario, Canada.
Erwin N OechslinDivision of Cardiology, Peter Munk Cardiac Centre, Toronto Congenital Cardiac Centre for Adults, University of Toronto, Toronto, Ontario, Canada.
Aeilko H ZwindermanDepartment of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Barbara J M MulderDepartment of Clinical and Experimental Cardiology, Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Joris R de GrootDepartment of Clinical and Experimental Cardiology, Heart Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Amsterdam University Medical Centers · NLUniversity of Toronto · CANetherlands Heart Institute · NLUniversitair Ziekenhuis Leuven · BE

Funding

ZonMw 016.146.310
6 · The paper itself

Abstract

objectiveAdult congenital heart disease (ACHD) patients are at risk of sudden cardiac death (SCD). However, methods for risk stratification are not yet well-defined. The T

designFrom an international multicenter cohort of 25 790 ACHD patients, we identified all SCD cases. Cases were matched to controls by age, gender, congenital defect, and (surgical) intervention. OUTCOME MEASURES: TpTe was measured on a standard 12-lead ECG. The maximum TpTe of all ECG leads (TpTe-max), mean (TpTe-mean), and TpTe dispersion (maximum minus minimum) were obtained. Odds ratios (OR) for SCD cases vs controls were calculated using conditional logistic regression analysis.

resultsECGs were available for 147 cases (median age at death 33.5 years (quartiles 26.2, 48.7), 66% male) and 267 controls. The mean TpTe-max was 97 ± 24 ms in cases vs 84 ± 17 ms in controls (P < .001); TpTe-mean was 70 ± 16 vs 63 ± 10 ms (P < .001); and dispersion was 51 ± 22 ms vs 41 ± 16 ms (P = .02), respectively. Assessing each ECG lead separately, TpTe in lead aVR predicted SCD most accurately. TpTe in lead aVR was 71 ± 23 ms in cases vs 61 ± 13 ms in controls (P < .001). After adjusting for impaired ventricular function, heart failure symptoms, and prolonged QRS duration, the OR of SCD of TpTe in lead aVR at an optimal cutoff of 80 ms was 5.8 (95% CI 2.7-12.4, P < .001).

conclusionsThe TpTe interval is associated with SCD in ACHD patients. Particularly, TpTe in lead aVR can be used as an independent risk factor for SCD in ACHD patients and may, therefore, add precision to current risk prediction models.

Indexed as

Action PotentialsElectrocardiographyHeart RateAdultBelgiumDeath, Sudden, CardiacFemaleHeart Conduction SystemHeart Defects, CongenitalHeart VentriclesHumansMaleMiddle AgedNetherlandsOntarioPredictive Value of Testscongenital heart diseaseelectrocardiographyrisk factorsudden cardiac deathTpeak-Tend

Identifiers

PMID31573144
PMCPMC7003836
OpenAlexW2977957428

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.