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Individualized Studies of Triggers of Paroxysmal Atrial Fibrillation: The I-STOP-AFib Randomized Clinical Trial.
Marcus, Gregory M; Modrow, Madelaine Faulkner; Schmid, Christopher H; Sigona, Kathi; Nah, Gregory; Yang, Jiabei; Chu, Tzu-Chun; Joyce, Sean; Gettabecha, Shiffen; Ogomori, Kelsey; Yang, Vivian; Butcher, Xochitl; Hills, Mellanie True; McCall, Debbe; Sciarappa, Kathleen; Sim, Ida; Pletcher, Mark J; Olgin, Jeffrey E.
Afiliação
  • Marcus GM; Division of Cardiology, University of California, San Francisco, San Francisco.
  • Modrow MF; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.
  • Schmid CH; Department of Biostatistics, Center for Statistical Sciences and Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, Rhode Island.
  • Sigona K; Health eHeart Alliance member and atrial fibrillation patient.
  • Nah G; Division of Cardiology, University of California, San Francisco, San Francisco.
  • Yang J; Department of Biostatistics, Center for Statistical Sciences and Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, Rhode Island.
  • Chu TC; Department of Biostatistics, Center for Statistical Sciences and Center for Evidence Synthesis in Health, School of Public Health, Brown University, Providence, Rhode Island.
  • Joyce S; Division of Cardiology, University of California, San Francisco, San Francisco.
  • Gettabecha S; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.
  • Ogomori K; Division of Cardiology, University of California, San Francisco, San Francisco.
  • Yang V; Division of Cardiology, University of California, San Francisco, San Francisco.
  • Butcher X; Division of Cardiology, University of California, San Francisco, San Francisco.
  • Hills MT; Health eHeart Alliance member and atrial fibrillation patient.
  • McCall D; StopAfib.org, American Foundation for Women's Health, Greenwood, Texas.
  • Sciarappa K; Health eHeart Alliance member and atrial fibrillation patient.
  • Sim I; Health eHeart Alliance member and atrial fibrillation patient.
  • Pletcher MJ; Division of General Internal Medicine, University of California, San Francisco, San Francisco.
  • Olgin JE; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.
JAMA Cardiol ; 7(2): 167-174, 2022 02 01.
Article em En | MEDLINE | ID: mdl-34775507
ABSTRACT
Importance Atrial fibrillation (AF) is the most common arrhythmia. Although patients have reported that various exposures determine when and if an AF event will occur, a prospective evaluation of patient-selected triggers has not been conducted, and the utility of characterizing presumed AF-related triggers for individual patients remains unknown.

Objective:

To test the hypothesis that n-of-1 trials of self-selected AF triggers would enhance AF-related quality of life. Design, Setting, and

Participants:

A randomized clinical trial lasting a minimum of 10 weeks tested a smartphone mobile application used by symptomatic patients with paroxysmal AF who owned a smartphone and were interested in testing a presumed AF trigger. Participants were screened between December 22, 2018, and March 29, 2020.

Interventions:

n-of-1 Participants received instructions to expose or avoid self-selected triggers in random 1-week blocks for 6 weeks, and the probability their trigger influenced AF risk was then communicated. Controls monitored their AF over the same time period. Main Outcomes and

Measures:

AF was assessed daily by self-report and using a smartphone-based electrocardiogram recording device. The primary outcome comparing n-of-1 and control groups was the Atrial Fibrillation Effect on Quality-of-Life (AFEQT) score at 10 weeks. All participants could subsequently opt for additional trigger testing.

Results:

Of 446 participants who initiated (mean [SD] age, 58 [14] years; 289 men [58%]; 461 White [92%]), 320 (72%) completed all study activities. Self-selected triggers included caffeine (n = 53), alcohol (n = 43), reduced sleep (n = 31), exercise (n = 30), lying on left side (n = 17), dehydration (n = 10), large meals (n = 7), cold food or drink (n = 5), specific diets (n = 6), and other customized triggers (n = 4). No significant differences in AFEQT scores were observed between the n-of-1 vs AF monitoring-only groups. In the 4-week postintervention follow-up period, significantly fewer daily AF episodes were reported after trigger testing compared with controls over the same time period (adjusted relative risk, 0.60; 95% CI, 0.43- 0.83; P < .001). In a meta-analysis of the individualized trials, only exposure to alcohol was associated with significantly heightened risks of AF events. Conclusions and Relevance n-of-1 Testing of AF triggers did not improve AF-associated quality of life but was associated with a reduction in AF events. Acute exposure to alcohol increased AF risk, with no evidence that other exposures, including caffeine, more commonly triggered AF. Trial Registration ClinicalTrials.gov Identifier NCT03323099.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Fibrilação Atrial Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Systematic_reviews Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Fibrilação Atrial Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Systematic_reviews Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article