Remote monitoring provides practical alternative for ICD patient follow-up

2007 ◽  
Vol 119 ◽  
pp. S21-S22
Author(s):  
Pekka Raatikainen ◽  
Paavo Uusimaa ◽  
Markku Linnaluoto ◽  
Inge Sieben ◽  
Jacques Janssen ◽  
...  
Keyword(s):  
Remote Monitoring

Automatic Remote Monitoring of Implantable Cardiac Devices in Clinical Practice – The Lumos-T Safely Reduces Routine Office Device Follow-up (TRUST) Trial

2010 ◽  
Vol 6 (3) ◽  
pp. 87
Author(s):  
Niraj Varma ◽  
Keyword(s):  
Clinical Practice ◽  
Remote Monitoring ◽  
Home Monitoring ◽  
Implantable Devices ◽  
Cardiac Device ◽  
Cardiac Devices ◽  
Enhance Patient Safety ◽  
Implantable Cardiac Devices ◽  
Post Implantation

The use of implantable electronic cardiac devices is increasing. Post-implantation follow-up is important for monitoring both device function and patient condition; however, clinical practice is inconsistent. For example, implantable cardioverter–defibrillator follow-up schedules vary from every three months to yearly according to facility and physician preference and the availability of resources. Importantly, no surveillance occurs between follow-up visits. By contrast, implantable devices with automatic remote monitoring capability provide a means for performing constant surveillance, with the ability to identify salient problems rapidly. The Lumos-T Reduces Routine Office Device Follow-up Study (TRUST) demonstrated that remote home monitoring reduced clinic burden and allowed early detection of patient and/or system problems, enabling efficient monitoring and an opportunity to enhance patient safety. The results of the trial have significant implications for the management of patients receiving all forms of implantable electronic cardiac device.

External validation of a heart failure risk prediction model in a remote monitoring cohort submitted to cardiac resynchronization therapy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I Cardoso ◽  
M Coutinho ◽  
G Portugal ◽  
A Valentim ◽  
A.S Delgado ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
High Risk ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
External Validation ◽  
Left Ventricular Ejection ◽  
National Database ◽  
Failure Risk

Abstract Background Patients (P) submitted to cardiac ressynchronization therapy (CRT) are at high risk of heart failure (HF) events during follow-up. Continuous analysis of various physiological parameters, as reported by remote monitoring (RM), can contribute to point out incident HF admissions. Tailored evaluation, including multi-parameter modelling, may further increase the accuracy of such algorithms. Purpose Independent external validation of a commercially available algorithm (“Heart Failure Risk Status” HFRS, Medtronic, MN USA) in a cohort submitted to CRT implantation in a tertiary center. Methods Consecutive P submitted to CRT implantation between January 2013 and September 2019 who had regular RM transmissions were included. The HFRS algorithm includes OptiVol (Medtronic Plc., MN, USA), patient activity, night heart rate (NHR), heart rate variability (HRV), percentage of CRT pacing, atrial tachycardia/atrial fibrillation (AT/AF) burden, ventricular rate during AT/AF (VRAF), and detected arrhythmia episodes/therapy delivered. P were classified as low, medium or high risk. Hospital admissions were systematically assessed by use of a national database (“Plataforma de Dados de Saúde”). Accuracy of the HFRS algorithm was evaluated by random effects logistic regression for the outcome of unplanned hospital admission for HF in the 30 days following each transmission episode. Results 1108 transmissions of 35 CRT P, corresponding to 94 patient-years were assessed. Mean follow-up was 2.7 yrs. At implant, age was 67.6±9.8 yrs, left ventricular ejection fraction 28±7.8%, BNP 156.6±292.8 and NYHA class >II in 46% of the P. Hospital admissions for HF were observed within 30 days in 9 transmissions. Stepwise increase in HFRS was significantly associated with higher risk of HF admission (odds ratio 12.7, CI 3.2–51.5). HFRS had good discrimination for HF events with receiving-operator curve AUC 0.812. Conclusions HFRS was significantly associated with incident HF admissions in a high-risk cohort. Prospective use of this algorithm may help guide HF therapy in CRT recipients. Funding Acknowledgement Type of funding source: None

scholarly journals Implantable cardiac monitor after cryptogenic stroke: atrial fibrillation detection and predictors

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
E Ebrille ◽  
C Amellone ◽  
M.T Lucciola ◽  
F Orlando ◽  
M Suppo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Multivariate Analysis ◽  
Risk Stratification ◽  
Median Time ◽  
Remote Monitoring ◽  
Cryptogenic Stroke ◽  
Screening Process ◽  
Cardiac Monitor ◽  
Implantable Cardiac Monitor

Abstract Objective The main objective of our study was to analyze the incidence and predictors of atrial fibrillation (AF) in patients with cryptogenic stroke (CS) who received an implantable cardiac monitor (ICM) at our Institution. Methods From November 2013 to October 2017, a total of 133 patients who had suffered a CS were implanted with an ICM after a thorough screening process. The median time between the thromboembolic event and ICM implantation was 64 days [IQ range: 16–111]. All implanted patients were followed with remote monitoring until the first detected episode of AF or up to December 2018. Every remote monitoring transmission and related electrograms were analyzed by the dedicated Electrophysiology Nursing team and confirmed by experienced Electrophysiologists. AF was defined by any episode lasting greater than or equal to 2 minutes. Results During a median follow-up of 14.8 months [IQ range: 3.0–31.2], AF was detected in 65 out of 133 patients (48.9%). The median time from ICM implantation and AF detection was 3.5 months [IQ range: 0.9–6.7]. The prevalence of AF was 22.6%, 34.4%, 40.8% and 48.3% at 3, 6, 12 and 24 months respectively. At the multivariate analysis, high premature atrial contractions (PAC) burden and left atrium (LA) dilation were the only independent predictors of AF detection (HR 2.82, 95% CI 1.64–4.83, p<0.001 for PAC; HR 1.75, 95% CI 1.03–2.97, p=0.038 for LA dimension). Patients were dived into categories based on the probability of AF detection (low, intermediate and high risk) and a new risk stratification algorithm was implemented (Figure 1). Conclusion After a thorough screening process, AF detection in patients with CS and ILM was quite high. Having a high PAC burden and LA dilation predicted AF episodes at the multivariate analysis. A new risk stratification algorithm was developed. Figure 1 Funding Acknowledgement Type of funding source: None

Canadian Registry of Electronic Device Outcomes: remote monitoring outcomes in the Abbott battery performance alert—a multicentre cohort

EP Europace ◽  
2021 ◽  
Author(s):  
Sharath Kumar ◽  
Jason Davis ◽  
Bernard Thibault ◽  
Iqwal Mangat ◽  
Benoit Coutu ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Primary Outcome ◽  
Electronic Device ◽  
Electronic Devices ◽  
Cardiac Resynchronization ◽  
Device Performance ◽  
Cardiac Implantable Electronic Devices ◽  
All Cause Mortality ◽  
Multicentre Cohort

Abstract Aims Cardiac implantable electronic devices with device advisories have the potential of device malfunction. Remote monitoring (RM) of devices has been suggested to allow the identification of abnormal device performance and permit early intervention. We sought to describe the outcomes of patients with and without RM in devices subject to the Abbott Premature Battery Depletion (PBD) advisory with data from a Canadian registry. Methods and results Patients with an Abbott device subject to the PBD advisory from nine implantable cardioverter defibrillator (ICD) implanting centres in Canada were included in the registry. The use of RM was identified from baseline and follow-up data in the registry. The primary outcome was detection of PBD and all-cause mortality. A total of 2666 patients were identified with a device subject to the advisory. In all, 1687 patients (63.2%) had RM at baseline. There were 487 deaths during follow-up. At a mean follow-up of 5.7 ± 0.7 years, mortality was higher in those without a remote monitor compared with RM at baseline (24.7% vs. 14.5%; P < 0.001). Pre-mature battery depletion was identified in 36 patients (2.1%) with RM vs. 7 (0.7%) without RM (P = 0.004). Time to battery replacement was significantly reduced in patients on RM (median 5 vs. 13 days, P = 0.001). Conclusion The use of RM in patients with ICD and cardiac resynchronization therapy under advisory improved detection of PBD, time to device replacement, and was associated with a reduction in all-cause mortality. The factors influencing the association with mortality are unknown and deserve further study.

Remote Electronic Monitoring in Chronic Pulmonary Diseases

2013 ◽  
pp. 173-190
Author(s):  
S. Bella ◽  
F. Murgia
Keyword(s):  
Remote Monitoring ◽  
Validation Studies ◽  
Respiratory Diseases ◽  
Electronic Monitoring ◽  
Pulmonary Diseases ◽  
Economic Viability ◽  
Chronic Respiratory Diseases ◽  
Chronic Pulmonary Diseases ◽  
Operating Method

In this chapter the main aspects of telemonitoring are described and discussed in the field of chronic respiratory diseases. The authors describe the various challenges they faced, in the order in which they did. First, they face the problem of effectiveness of the method, then, the problems related to the economic viability, and finally, the problems related to the operating method. The authors conclude that remote monitoring is a promising method in terms of effectiveness of follow-up that must be performed under well controlled conditions. They still require further validation studies to improve the effectiveness and reduce the effects of new issues that arise.

OP64 Economic Impact Of Cardiac Device Remote Monitoring In South Korea

2017 ◽  
Vol 33 (S1) ◽  
pp. 28-28
Author(s):  
Jeonghoon Ahn ◽  
Kim Eung Ju ◽  
Justin Yoo ◽  
Irene Colangelo ◽  
Loredana Morichelli ◽  
...  
Keyword(s):  
South Korea ◽  
Remote Monitoring ◽  
Healthcare Costs ◽  
Healthcare Resource ◽  
Economic Benefits ◽  
Resource Consumption ◽  
Healthcare Payer ◽  
The South ◽  
South Korean

INTRODUCTION:The reduction of healthcare costs and societal cost due to remote monitoring (RM) of cardiac implantable electronic devices (CIEDs) has been demonstrated in several countries; however, to the best of our knowledge it does not exist for South Korea. This work aims at providing an estimation of the potential benefit of RM versus standard care (SC) of CIEDs in term of healthcare costs in South Korea, in order to provide additional substance to the currently ongoing societal debate about the value of telemedicine.METHODS:Healthcare resource consumption was taken from the results of the TARIFF study, a prospective, non-randomized, multicenter clinical trial designed in Italy to assess the economic benefits of RM follow-up in comparison with standard follow-up in 209 patients (107 SC, 102 RM). The main results demonstrated that RM reduced healthcare resource consumption by 54 percent from a healthcare services perspective (SC: EUR1,044.89±1,990.47 versus RM: EUR482.87±2488.10, p<.0001 (1).In order to perform a cost analysis from the perspective of the South Korean healthcare payer, the following unit costs were assigned to resources collected in TARIFF (hospitalizations, visits, examinations): fee-for-service tariffs, emergency tariffs and outpatient tariffs. Remote follow-up costs were considered as zero.RESULTS:From the perspective of the South Korean healthcare payer, the overall mean annual cost/patient in the RM group is 53 percent lower than in SC group (SC: EUR405,439±40,135 versus RM: EUR189,96±725,52, p<.0001) (SC: KRW 497,145±49,2137 versus RM: KRW 232,936±890,181, p<.0001). This is mainly due to a significant cost reduction in device-related hospitalizations, examination tests and visits in the follow-up period.CONCLUSIONS:RM of CIED patients is cost-saving from the perspective of the South Korean healthcare system. Introducing appropriate reimbursement for remote monitoring of CIED is not likely to change this result and should make RM sustainable for the provider and encourage widespread adoption of RM.

Results of remote follow-up and monitoring in young patients with cardiac implantable electronic devices

2015 ◽  
Vol 26 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Massimo S. Silvetti ◽  
Fabio A. Saputo ◽  
Rosalinda Palmieri ◽  
Silvia Placidi ◽  
Lorenzo Santucci ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Heart Defects ◽  
Electronic Devices ◽  
Young Patients ◽  
Implantable Cardioverter Defibrillators ◽  
Wireless Devices ◽  
Cardiac Implantable Electronic Devices ◽  
System Inclusion ◽  
To Receive

AbstractBackgroundRemote monitoring is increasingly used in the follow-up of patients with cardiac implantable electronic devices. Data on paediatric populations are still lacking. The aim of our study was to follow-up young patients both in-hospital and remotely to enhance device surveillance.MethodsThis is an observational registry collecting data on consecutive patients followed-up with the CareLink system. Inclusion criteria were a Medtronic device implanted and patient’s willingness to receive CareLink. Patients were stratified according to age and presence of congenital/structural heart defects (CHD).ResultsA total of 221 patients with a device – 200 pacemakers, 19 implantable cardioverter defibrillators, and two loop recorders – were enrolled (median age of 17 years, range 1–40); 58% of patients were younger than 18 years of age and 73% had CHD. During a follow-up of 12 months (range 4–18), 1361 transmissions (8.9% unscheduled) were reviewed by technicians. Time for review was 6±2 minutes (mean±standard deviation). Missed transmissions were 10.1%. Events were documented in 45% of transmissions, with 2.7% yellow alerts and 0.6% red alerts sent by wireless devices. No significant differences were found in transmission results according to age or presence of CHD. Physicians reviewed 6.3% of transmissions, 29 patients were contacted by phone, and 12 patients underwent unscheduled in-hospital visits. The event recognition with remote monitoring occurred 76 days (range 16–150) earlier than the next scheduled in-office follow-up.ConclusionsRemote follow-up/monitoring with the CareLink system is useful to enhance device surveillance in young patients. The majority of events were not clinically relevant, and the remaining led to timely management of problems.

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