Potential Role of Telemedical Service Centers in Managing Remote Monitoring Data Transmitted Daily by Cardiac Implantable Electronic Devices: Results of the Early Detection of Cardiovascular Events in Device Patients with Heart Failure (detecT-Pilot) Study

2013 ◽  
Vol 19 (6) ◽  
pp. 460-466 ◽  
Author(s):  
Axel Müller ◽  
Andreas Goette ◽  
Christian Perings ◽  
Herbert Nägele ◽  
Thomas Konorza ◽  
...  
EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
M Dyrbus ◽  
M Tajstra ◽  
L Pyka ◽  
A Kurek ◽  
M Gasior

Abstract Funding Acknowledgements Type of funding sources: None. Background  Remote monitoring (RM) of cardiac implantable electronic devices (CIED) in patients with heart failure allows to regularly analyze the devices" and patients" conditions.  Purpose  The purpose of this study was evaluation of the ultimate transmissions sent before death in patients monitored remotely.  Methods  The last transmissions delivered by the devices in patients enrolled into COMMIT-HF Registry (NCT02536443) who died when monitored remotely have been retrospectively analysed. The characteristics and contents of the transmissions and clinical reactions undertaken have been obtained from the RM systems of four major RM providers.  Results  Of 1,306 patients with CIEDs who were enrolled at the RM programme in our centre, 267 died and their last transmission occurred less than 90 days before death, of which 133 (49.8%) were scheduled and 134 (50.2%) alert-triggered. The median period between transmission and death was 31 days for scheduled and 8 days for alert-triggered transmissions. The most frequent alert-triggered transmissions were atrial fibrillation/flutter (35.8%) and ventricular tachyarrhythmias (24.6%). A clinical reaction has been undertaken after 9.8% of planned and 67.1% of alert-triggered transmissions and consisted mainly of telephone consultations and referrals for hospital admissions.  Conclusions  This is the first analysis of the ultimate transmissions delivered by CIEDs before death. In approximately 50% of patients, the last transmission has been alert-triggered. Hence, an appropriate organization of the RM facility, which should immediately analyse and react to the transmission, seems mandatory to obtain clinical benefit in patients with HF and RM. Causes of alerts and clinical reactionsCause of alertAll alert-triggered transmissions (N = 134)AF/AFL episode, n (%)48 (35.8%)Ventricular tachycardia, n (%)18 (13.4%)Ventricular fibrillation, n (%)15 (11.2%)Biventricular pacing percentage reduction, n (%)15 (11.2%)Others38 (28.3%)Congestion monitor indications, n (%)14 (10.4%)Clinical reactionPlanned transmission (N = 133)Alert-triggered transmission (N = 134)Telephone consultation10 (7.5%)58 (43.2%)Referral to the GP or outpatient specialist clinic visit2 (1.5%)12 (8.9%)Referral for hospital admission1 (0.7%)18 (13.4%)Pharmacotherapy modificationN/A2 (1.5%)Abstract Figure.


Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S98-S99
Author(s):  
Kyle Heath ◽  
Catherine O'Shea ◽  
Gijo Thomas ◽  
Curtis Harper ◽  
Kevin R. Campbell ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1361
Author(s):  
Michelle Feijen ◽  
Anastasia D. Egorova ◽  
Saskia L. M. A. Beeres ◽  
Roderick W. Treskes

Heart failure (HF) hospitalisations due to decompensation are associated with shorter life expectancy and lower quality of life. These hospitalisations pose a significant burden on the patients, doctors and healthcare resources. Early detection of an upcoming episode of decompensation may facilitate timely optimisation of the ambulatory medical treatment and thereby prevent heart-failure-related hospitalisations. The HeartLogicTM algorithm combines data from five sensors of cardiac implantable electronic devices into a cumulative index value. It has been developed for early detection of fluid retention in heart failure patients. This review aims to provide an overview of the current literature and experience with the HeartLogicTM algorithm, illustrate how the index can be implemented in daily clinical practice and discuss ongoing studies and potential future developments of interest.


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