Reduced Healthcare Use and Apparent Savings with Passive Home Monitoring Technology: A Pilot Study

2017 ◽  
Vol 65 (6) ◽  
pp. 1301-1305 ◽  
Author(s):  
Michael Finch ◽  
Kristen Griffin ◽  
James T. Pacala
2020 ◽  
Vol 19 ◽  
pp. S67
Author(s):  
E.F. Nash ◽  
J. Choyce ◽  
V. Carrolan ◽  
E. Justice ◽  
K.L. Shaw ◽  
...  

2016 ◽  
Vol 26 (5) ◽  
pp. 539-546 ◽  
Author(s):  
Thomas F. E. Drake-Brockman ◽  
Amitava Datta ◽  
Britta S. von Ungern-Sternberg

2008 ◽  
Vol 9 (9) ◽  
pp. 946-948 ◽  
Author(s):  
Maria Luisa Loricchio ◽  
Antonio Castro ◽  
Andrea Ciolli ◽  
Massimo Sasdelli ◽  
Giuseppe Ferraiuolo

2019 ◽  
Vol 26 (2(96)) ◽  
pp. 5-13
Author(s):  
A. Sh. Revishvili ◽  
N. N. Lomidze ◽  
A. S. Abdrakhmanov ◽  
A. A. Nechepurenko ◽  
E. A. Ivanitsky ◽  
...  

Aims. Analysis of the prevalence of clinical events and of the trends of the physiologically significant parameters in patients with cardiac implantable electronic devices (CIEDs) with the remote monitoring options.Methods. In 9 clinical centers of the Russian Federation and 2 clinical centers of the Republic of Kazakhstan, 126 patients with an ICD or a pacemaker provided with the Home Monitoring technology (BIOTRONIK, Berlin, Germany) have been enrolled into the ReHoming (Registry Home Monitoring) clinical study. Based on the daily data transmission, all alarm alerts and all the Home Monitoring options changes have been registered with dated alert content and undertaken measures.Results. The study patients, followed up at least for one year, demonstrated 42 adverse events (AE), 26 of which were serious AE (SAE) and 3 SAE were defined as device related (SADE). ICD patients (n=90) had statistically significantly higher SAE prevalence with attendant coronary artery disease (CAD) (p=0.0249). Patients with CRT/D compared to patients with dual-chamber or single-chamber ICD had less SAE rate (р=0.046). Downloads of Home Monitoring parameters for retrospective mathematical analysis were available for 60 ICD patients, 47 of which had episodes of ventricular tachycardia (VT), ventricular fibrillation (VF) and/or atrial tachyarrhythmia (AT). Machine learning analysis of the trends of the physiologically meaningful parameters revealed correlation of the changes with arrhythmia episodes, the random forest method and the gradient boosting method giving the results strongly exceeding a random guess.Conclusion. Home Monitoring of CIED patients enables evaluation of clinical advantages of different device types application, also in regard to prevention of adverse events and possible iatrogenic effects of electrotherapy of the heart. The study results demonstrate a possibility to develop a predictor of arrhythmia episodes, based on daily transmission of trends of physiologically meaningful Home Monitoring parameters.


EP Europace ◽  
2016 ◽  
Vol 18 (suppl_1) ◽  
pp. i80-i80
Author(s):  
Ben Ng ◽  
Suresh Singarayar ◽  
Kevin Hellestrand ◽  
Peter Illies ◽  
Uwais Mohamed ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document