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Risk factor management of atrial fibrillation using mHealth: The Atrial Fibrillation - Helping Address Care with Remote Technology (AF-HEART) Pilot Study.
Mitrani, Lindsey R; Goldenthal, Isaac; Leskowitz, Jamie; Wan, Elaine Y; Dizon, Jose; Saluja, Deepak; Creber, Ruth Masterson; Turchioe, Megan Reading; Sciacca, Robert R; Garan, Hasan; Hickey, Kathleen T; Korner, Judith; Biviano, Angelo B.
Afiliación
  • Mitrani LR; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Goldenthal I; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Leskowitz J; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Wan EY; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Dizon J; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Saluja D; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Creber RM; Department of Population Health Sciences, Weill Cornell Medicine, New York, New York.
  • Turchioe MR; Department of Population Health Sciences, Weill Cornell Medicine, New York, New York.
  • Sciacca RR; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Garan H; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Hickey KT; Columbia University, School of Nursing, New York, New York.
  • Korner J; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
  • Biviano AB; Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York.
Cardiovasc Digit Health J ; 3(1): 14-20, 2022 Feb.
Article en En | MEDLINE | ID: mdl-35265931
Background: Personalized treatment of atrial fibrillation (AF) risk factors using mHealth and telehealth may improve patient outcomes. Objective: The purpose of this study was to assess the feasibility of the Atrial Fibrillation Helping Address Care with Remote Technology (AF-HEART) intervention on the following patient outcomes: (1) heart rhythm tracking; (2) weight, alcohol, blood pressure (BP), and sleep apnea reduction; (3) AF symptom reduction; and (4) quality-of-life (QOL) improvement. Methods: A total of 20 patients with AF undergoing antiarrhythmic therapy, cardioversion, and/or catheter ablation were enrolled and followed for 6 months. The AF-HEART intervention included remote heart rhythm, weight, and BP tracking; televisits with a dietician focusing on AF risk factors; and referrals for sleep apnea and hypertension treatment. Results: Patients transmitted a median of 181 rhythm recordings during the 6-month follow-up period. Patients lost an average of 3.5 kilograms at 6 months (P = .005). Patients had improved SF-12 scores (P = .01), AFSS score (P = .01), EQ-5D score (P = .006), and AFEQT Global Score (P = .03). There was significant correlation between weight loss and decrease in symptom severity (r = -0.45, P = .05), and between % weight loss and decrease in symptom severity (r = -0.49, P = .03). Conclusion: This study described the feasibility of the AF-HEART intervention for (1) consistent remote tracking of heart rhythm, weight, and BP; (2) achievement of weight loss; (3) reduction of symptoms; and (4) improvement in QOL. Expansion to a larger randomized study is planned.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Risk_factors_studies Idioma: En Revista: Cardiovasc Digit Health J Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Risk_factors_studies Idioma: En Revista: Cardiovasc Digit Health J Año: 2022 Tipo del documento: Article