Evidence map›Paper›PMID 26497660›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2016

Novel association of polymorphic genetic variants with predictors of outcome of catheter ablation in atrial fibrillation: new directions from a prospective study (DECAF).

Sanghamitra Mohanty, Amelia W Hall, Prasant Mohanty, Sameer Prakash, Chintan Trivedi, Luigi Di Biase, Pasquale Santangeli, Rong Bai, J David Burkhardt, G Joseph Gallinghouse and 6 more

Registry-linked trialAbstract read
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In one paragraph

Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01751607 (Determining the Association of Chromosomal Variants With Non-PV Triggers and Ablation-outcome in AF), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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.

NCT01751607 completednot on this map

Determining the Association of Chromosomal Variants With Non-PV Triggers and Ablation-outcome in AF (DECAF)

TypeobservationalSponsorTexas Cardiac Arrhythmia Research FoundationRan2012 to 2014Enrolled400ConditionsAtrial Fibrillation
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Genetics of Atrial Fibrillation.Journal of the American Heart Association · 2018
    Review
  7. Article
  8. Review
  9. Article
  10. Genotype influence in responses to therapy for atrial fibrillation.Expert review of cardiovascular therapy · 2016
    Review
  11. Tailoring interventional arrhythmia therapy to individual patients: seeking the Art and the Science of Cardiac Electrophysiology in 2016.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2016
    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

16 authors.

Sanghamitra Mohanty
Amelia W Hall
Prasant Mohanty
Sameer Prakash
Chintan Trivedi
Luigi Di Biase
Pasquale Santangeli
Rong Bai
J David Burkhardt
G Joseph Gallinghouse
Rodney Horton
Javier E Sanchez
Patrick M Hranitzky
Amin Al-Ahmad
Vishwanath R Iyer
Andrea Natale

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNon-pulmonary vein (non-PV) triggers and left atrial (LA) scars perpetuate atrial fibrillation (AF) and limit the success rate of catheter ablation. In order to understand the genetic basis of these risk factors, we examined the association of selected single nucleotide polymorphisms (SNPs) with scar and non-PV triggers.

methodsFour hundred AF patients (67 %male, 62±12 years, LA size 45.3±7 mm, 64%non-paroxysmal) undergoing catheter ablation were prospectively enrolled. DNA extractions for16 AF-related SNPS from blood samples were performed of which 371 DNA samples were available for genotyping. Multivariate logistic regression analysis was used for assessing predictive role of individual SNP, and logistic kernel-machine approach was applied to test the cumulative effect of multiple SNPs as a group with non-PV triggers and LA scar. False discovery rate (FDR) was computed for all candidate SNPs to address multiple testing.

resultsSNPs rs6599230 and rs6843082 were inversely associated (OR 0.68, p=0.04, and 0.62, p=0.01, respectively) whereas rs1448817 (OR 1.74, p=0.04) and rs7193343 (OR 1.66, p=0.02) predicted higher risk of non-PV triggers. Genotypes for rs6599230 and rs6843082 conferred 51 % reduction in the odds for non-PV triggers (combined OR 0.49, p=0.019), while rs1448817 and rs7193343 demonstrated a combined OR of 1.93, p=0.025. FDR was controlled at 16 % to adjust for multiple testing. For LA scar, inverse association was observed with rs1448817 (OR 0.29, p=0.006), rs17042171 (OR 0.27, p=0.032), rs3807989 (OR 0.54, p=0.017), and rs6843082 (OR 0.56, p=0.009). Two SNPs were associated with increased scar risk: rs17375901 (OR 3.68, p=0.03) and rs7193343 (OR 1.74, p=0.037). For global association of SNPs with left atrial scar FDR was controlled at ≤10 % to adjust for multiple testing.

conclusionsThis study has a strong clinical significance as it provides important insights into the molecular basis of pertinent therapeutic targets. Our findings demonstrate that the presence of certain genetic polymorphisms increases the risk of scar and non-PV triggers in AF patients. Therefore, PVAI alone will not be enough to eliminate the arrhythmia and the operators may need to identify and isolate the non-PV foci to maximize procedural success in patients carrying these risk variants. Clinical trial registration clinicaltrials.gov (NCT01751607).

Indexed as

Atrial FibrillationCatheter AblationComorbidityEvidence-Based MedicineFemaleGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseHumansMiddle AgedPolymorphism, Single NucleotidePostoperative ComplicationsPrevalencePrognosisProspective StudiesRisk AssessmentGenetic Markers

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Registered trials

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.