Literature DB >> 23067922

Burden of atrial fibrillation and poor rate control detected by continuous monitoring and the risk for heart failure hospitalization.

Shantanu Sarkar1, Jodi Koehler, George H Crossley, W H Wilson Tang, William T Abraham, Eduardo N Warman, David J Whellan.   

Abstract

INTRODUCTION: Atrial fibrillation (AF) on electrocardiogram has been identified as a risk factor for hospitalizations in patients with heart failure (HF). We investigated whether continuous AF monitoring can identify when patients with HF are at risk for hospitalization.
METHODS: In this retrospective analysis of data from 4 studies enrolling patients with HF with cardiac resynchronization therapy defibrillator devices with ≥90 days of follow-up (n = 1561), patients were identified as having AF if they had ≥1 day of >5 minutes of AF and >1 hour of total AF during entire follow-up. In patients with AF, device recorded AF burden (AFb) and ventricular rate during AF (VRAF) over the last 30 days was classified on a monthly basis into 3 evaluation groups: (1) ≥1 day of high burden of paroxysmal AF (≥6 hours) or persistent AF (all 30 days with AFb >23 hours) with poor rate control (VRAF >90 beats/min), (2) ≥1 day of high burden of paroxysmal AF with good rate control (VRAF ≤ 90 beats/min), and (3) no days with high burden of AF (AFb <6 hours) or persistent AF with good rate control. Each group was compared with monthly evaluations in patients without AF using an Anderson-Gill model for occurrence of HF hospitalizations in the next 30 days.
RESULTS: Patients with AF (n = 519, 33%) have a greater risk (hazard ratio [HR] 2.0, P < .001) for impending HF hospitalizations during entire follow-up compared with patients with no AF. One day of high burden of paroxysmal AF with good rate control in the last 30 days increases risk for HF hospitalization in the next 30 days (HR 3.4, P < .001). The risk increases further (HR 5.9, P < .001) with 1 day of poor rate control during persistent AF or high burden paroxysmal AF in last 30 days.
CONCLUSION: Evaluation of AFb and rate control information on a monthly basis can identify patients at risk for HF hospitalization in the next 30 days.
Copyright © 2012 Mosby, Inc. All rights reserved.

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Year:  2012        PMID: 23067922     DOI: 10.1016/j.ahj.2012.06.020

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  15 in total

1.  Remote heart failure monitoring.

Authors:  William T Abraham
Journal:  Curr Treat Options Cardiovasc Med       Date:  2013-10

Review 2.  Old and new tools to assess dyspnea in the hospitalized patient.

Authors:  Barbro Kjellström; Martje H L van der Wal
Journal:  Curr Heart Fail Rep       Date:  2013-09

3.  Bucindolol for the Maintenance of Sinus Rhythm in a Genotype-Defined HF Population: The GENETIC-AF Trial.

Authors:  Jonathan P Piccini; William T Abraham; Christopher Dufton; Ian A Carroll; Jeff S Healey; Dirk J van Veldhuisen; William H Sauer; Inder S Anand; Michel White; Stephen B Wilton; Ryan Aleong; Michiel Rienstra; Steven K Krueger; Felix Ayala-Paredes; Yaariv Khaykin; Bela Merkely; Vladimir Miloradović; Jerzy K Wranicz; Leonard Ilkhanoff; Paul D Ziegler; Gordon Davis; Laura L Emery; Debra Marshall; David P Kao; Michael R Bristow; Stuart J Connolly
Journal:  JACC Heart Fail       Date:  2019-04-29       Impact factor: 12.035

Review 4.  Rate Control in Atrial Fibrillation: Methods for Assessment, Targets for Ventricular Rate during AF, and Clinical Relevance for Device Therapy.

Authors:  Shantanu Sarkar; Paul D Ziegler
Journal:  J Atr Fibrillation       Date:  2013-06-30

5.  Predictors of mortality, LVAD implant, or heart transplant in primary prevention cardiac resynchronization therapy recipients: The HF-CRT score.

Authors:  Victor Nauffal; Tanyanan Tanawuttiwat; Yiyi Zhang; John Rickard; Joseph E Marine; Barbara Butcher; Sanaz Norgard; Timm Dickfeld; Kenneth A Ellenbogen; Eliseo Guallar; Gordon F Tomaselli; Alan Cheng
Journal:  Heart Rhythm       Date:  2015-07-17       Impact factor: 6.343

6.  Atrial fibrillation-induced tachycardiomyopathy and heart failure: an underappreciated and elusive condition.

Authors:  Antonis S Manolis; Theodora A Manolis; Antonis A Manolis; Helen Melita
Journal:  Heart Fail Rev       Date:  2022-03-23       Impact factor: 4.654

7.  Comparison of partners-heart failure algorithm vs care alert in remote heart failure management.

Authors:  Leonardo Calo'; Annamaria Martino; Claudia Tota; Alessandro Fagagnini; Renzo Iulianella; Marco Rebecchi; Luigi Sciarra; Giuseppe Giunta; Maria Grazia Romano; Roberto Colaceci; Antonio Ciccaglioni; Fabrizio Ammirati; Ermenegildo de Ruvo
Journal:  World J Cardiol       Date:  2015-12-26

Review 8.  Telemonitoring in heart failure: Big Brother watching over you.

Authors:  R Dierckx; P Pellicori; J G F Cleland; A L Clark
Journal:  Heart Fail Rev       Date:  2015-01       Impact factor: 4.214

9.  Current Evidence and Recommendations for Rate Control in Atrial Fibrillation.

Authors:  Abhishek Maan; Moussa Mansour; Jeremy N Ruskin; E Kevin Heist
Journal:  Arrhythm Electrophysiol Rev       Date:  2013-04

10.  Stratifying patients at the risk of heart failure hospitalization using existing device diagnostic thresholds.

Authors:  Vinod Sharma; Lisa D Rathman; Roy S Small; David J Whellan; Jodi Koehler; Eduardo Warman; William T Abraham
Journal:  Heart Lung       Date:  2014-12-24       Impact factor: 2.210

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