Literature DB >> 32498661

Cost-Effectiveness of Extended Electrocardiogram Monitoring for Atrial Fibrillation After Stroke: A Systematic Review.

Derek S Chew1,2, Elissa Rennert-May3,4,5, Eldon Spackman3,5, Daniel B Mark2, Derek V Exner1,3.   

Abstract

BACKGROUND AND
PURPOSE: Management of cryptogenic stroke involves the identification of modifiable risk factors, such as atrial fibrillation (AF). Extended rhythm monitoring increases AF detection rates but at an increased device cost compared with conventional Holter monitoring. The objective of the study was to identify and synthesize the existing literature on the cost-effectiveness of prolonged rhythm monitoring devices for AF detection in cryptogenic stroke.
METHODS: We conducted a systematic review of available economic evaluations of prolonged ECG monitoring for AF detection following cryptogenic stroke compared with standard care.
RESULTS: Of the 530 unique citations, 8 studies assessed the cost-utility of prolonged ECG monitoring compared with standard care following cryptogenic stroke. The prolonged ECG monitoring strategies included 7-day ambulatory monitoring, 30-day external loop recorders or intermittent ECG monitoring, and implantable loop recorders. The majority of cost-utility analyses reported incremental cost-effectiveness ratios below $50 000 per QALY gained; and two studies reported a cost-savings.
CONCLUSIONS: There is limited economic literature on the cost-effectiveness of extended ECG monitoring devices for detection of atrial fibrillation in cryptogenic stroke. In patients with cryptogenic stroke, extended ECG monitoring for AF detection may be economically attractive when traditional willingness-to-pay thresholds are adopted. However, there was substantial variation in the reported ICERs. The direct comparison of cost-effectiveness across technologies is limited by heterogeneity in modeling assumptions.

Entities:  

Keywords:  atrial fibrillation; cost-benefit analysis; electrocardiography; stroke; systematic review

Year:  2020        PMID: 32498661     DOI: 10.1161/STROKEAHA.120.029340

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  8 in total

1.  Value of echocardiography in evaluating efficacy of radiofrequency catheter ablation in patients with atrial fibrillation.

Authors:  Ying Li; Bing Han; Jinfang Li; Fei Ge; Lianwei Yang
Journal:  Am J Transl Res       Date:  2022-03-15       Impact factor: 4.060

Review 2.  Use of Prolonged Cardiac Rhythm Monitoring to Identify Atrial Fibrillation After Cryptogenic Stroke.

Authors:  Alexis T Roy; Lee H Schwamm; Aneesh B Singhal
Journal:  Curr Cardiol Rep       Date:  2022-02-16       Impact factor: 2.931

3.  European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin.

Authors:  Marta Rubiera; Ana Aires; Kateryna Antonenko; Sabrina Lémeret; Christian H Nolte; Jukka Putaala; Renate B Schnabel; Anil M Tuladhar; David J Werring; Dena Zeraatkar; Maurizio Paciaroni
Journal:  Eur Stroke J       Date:  2022-06-03

4.  Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation Patients.

Authors:  Soonil Kwon; So-Ryoung Lee; Eue-Keun Choi; Hyo-Jeong Ahn; Hee-Seok Song; Young-Shin Lee; Seil Oh
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

5.  ECG monitoring of post-stroke occurring arrhythmias: an observational study using 7-day Holter ECG.

Authors:  Claudia Carrarini; V Di Stefano; M Russo; F Dono; M Di Pietro; N Furia; M Onofrj; L Bonanni; M Faustino; M V De Angelis
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

6.  Intelligent Algorithm-Based Electrocardiography to Predict Atrial Fibrillation after Coronary Artery Bypass Grafting in the Elderly.

Authors:  Tao Feng; Zhihua Deng
Journal:  Comput Math Methods Med       Date:  2022-03-09       Impact factor: 2.238

7.  Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke.

Authors:  Jeffrey M Ashburner; Xin Wang; Xinye Li; Shaan Khurshid; Darae Ko; Ana Trisini Lipsanopoulos; Priscilla R Lee; Taylor Carmichael; Ashby C Turner; Corban Jackson; Patrick T Ellinor; Emelia J Benjamin; Steven J Atlas; Daniel E Singer; Ludovic Trinquart; Steven A Lubitz; Christopher D Anderson
Journal:  J Am Heart Assoc       Date:  2021-10-20       Impact factor: 5.501

8.  Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm.

Authors:  Changho Han; Oyeon Kwon; Mineok Chang; Sunghoon Joo; Yeha Lee; Jin Soo Lee; Ji Man Hong; Seong-Joon Lee; Dukyong Yoon
Journal:  Front Cardiovasc Med       Date:  2022-04-08
  8 in total

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