Evidence map›Paper›PMID 33507390›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2021

Outcomes in patients with acute myocardial infarction and new atrial fibrillation: a nationwide analysis.

Laurent Fauchier, Arnaud Bisson, Alexandre Bodin, Julien Herbert, Denis Angoulvant, Nicolas Danchin, Yves Cottin

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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.

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

26 citing papers in PubMed.

  1. Active Helicobacter pylori Infection and Atrial Fibrillation in Patients Hospitalized With Acute Myocardial Infarction.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Blocking NaBMC cardiovascular disorders · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Laurent FauchierService de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Hôpital Trousseau, Université de Tours, 37044, Tours, France. lfau@univ-tours.fr.ORCID http://orcid.org/0000-0002-9267-1658
Arnaud BissonService de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Hôpital Trousseau, Université de Tours, 37044, Tours, France.
Alexandre BodinService de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Hôpital Trousseau, Université de Tours, 37044, Tours, France.
Julien HerbertService de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Hôpital Trousseau, Université de Tours, 37044, Tours, France.
Denis AngoulvantService de Cardiologie, Centre Hospitalier Universitaire Trousseau et Faculté de Médecine, EA7505, Hôpital Trousseau, Université de Tours, 37044, Tours, France.
Nicolas DanchinService de Cardiologie, Hôpital Européen Georges Pompidou, Assistance-Publique Hôpitaux de Paris, Université Paris Descartes, Paris, France.
Yves CottinService de Cardiologie, Centre Hospitalier Universitaire et Faculté de Médecine, Université de Dijon, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients with acute myocardial infarction (AMI), history of atrial fibrillation (AF) and new onset AF during the early phase may be associated with a worse prognosis. Whether both conditions are associated with similar outcomes is a matter of debate.

methodsWe collected information for all patients with AMI seen in French hospitals between 2010 and 2019. Among 797,212 patients seen with STEMI or NSTEMI, 75,701 (9.5%) had history of AF, and 34,768 (4.4%) had new AF diagnosed between day 1 and day 30 after AMI.

resultsPatients with new AF were older and had more comorbidities than those with no AF but were younger and had less comorbidities than those with history of AF. During follow-up [mean (SD) 1.8 (2.4) years, median (interquartile range) 0.7 (0.1-3.1) years], 163,845 deaths and 30,672 ischemic strokes were recorded. Using Cox multivariable analysis, compared to patients with no AF, history of AF was associated with a higher risk of death during follow-up (adjusted hazard ratio HR 1.17, 95% CI 1.16-1.19) and this was also the case for patients with new AF (adjusted HR 2.11, 2.07-2.15). Both history of AF and new AF were associated with a higher risk of ischemic stroke compared to patients with no AF: adjusted HR 1.19 (1.15-1.23) for history of AF, adjusted HR 1.78 (1.68-1.88) for new AF. New AF was associated with a higher risk of death and of ischemic stroke than history of AF: adjusted HR 1.74 (1.70-1.79) and 1.32 (1.23-1.42), respectively.

conclusionsIn a large and systematic nationwide analysis, AF first recorded in the first 30 days after AMI was independently associated with higher risks of death and ischemic stroke than those in patients with no AF or previously known AF.

Indexed as

AgedAged, 80 and overAtrial FibrillationCohort StudiesFemaleFollow-Up StudiesHumansIschemic StrokeLongitudinal StudiesMaleMiddle AgedNon-ST Elevated Myocardial InfarctionPrognosisRetrospective StudiesRisk FactorsST Elevation Myocardial InfarctionAcute myocardial infarctionAtrial fibrillationIschemic strokeOutcomes

Identifiers

What OpenQuestion holds

Textmetadata
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.