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. 2021 Aug 19;24(2):256–267. doi: 10.1093/europace/euab221

Effect of remote monitoring on clinical outcomes in European heart failure patients with an implantable cardioverter-defibrillator: secondary results of the REMOTE-CIED randomized trial

Cheyenne S L Chiu 1,, Ivy Timmermans 2,3, Henneke Versteeg 4, Edgar Zitron 5, Philippe Mabo 6, Susanne S Pedersen 7,8, Mathias Meine 9; for the REMOTE-CIED Trial Investigators1
PMCID: PMC8499745  PMID: 34410384

Abstract

Aims

Remote patient monitoring (RPM) systems offer a promising alternative to conventional In-Clinic check-ups, hereby reducing unnecessary clinic visits. Especially with the rise of the COVID-19 pandemic, this reduction is of paramount importance. Regarding the association between RPM and clinical outcomes, findings of previous studies have been inconsistent. The aim of this study is to elucidate the effect of partly substituting In-Clinic visits by RPM on clinical outcomes in implantable cardioverter-defibrillator (ICD) patients.

Methods and results

The study included 595 heart failure patients (LVEF ≤35%; NYHA Class II/III) implanted with an ICD compatible with the Boston Scientific LATITUDE™ system. Participants were randomized to RPM plus an annual In-Clinic visit or 3–6 months In-Clinic check-ups alone. The investigated endpoints after 2 years of follow-up included a composite of all-cause mortality and cardiac hospitalization, mortality and cardiac hospitalization as independent endpoints and ICD therapy. The incidence of mortality and hospitalization did not differ significantly as independent, nor as composite endpoint between the RPM and In-Clinic group (all Ps <0.05). The results were similar regarding ICD therapy, except for appropriate ICD therapy (odds ratio 0.50; 95% confidence interval 0.26–0.98; P = 0.04). Exploratory subgroup analyses indicated that the effect of RPM differs between patients with specific characteristics, i.e. ≥60 years and permanent atrial fibrillation (all Ps < 0.05).

Conclusion

RPM is non-inferior to conventional In-Clinic visits regarding clinical outcomes. Routine In-Clinic follow-up may partly be substituted by RPM without jeopardizing safety and efficiency, and thus reducing unnecessary In-Clinic visits.

ClinicalTrials.gov identifier

NCT01691586.

Keywords: REMOTE-CIED, Implantable cardioverter-defibrillator, Heart failure, Remote monitoring, Clinical outcomes

Graphical Abstract

graphic file with name euab221f5.jpg


What’s new?

  • The REMOTE-CIED study assessed the effect of remote patient monitoring on clinical outcomes by comparing RPM plus an annual In-Clinic visit vs. 3–6 months conventional In-Clinic visits alone.

  • The results demonstrated that the incidence of mortality and hospitalization did not differ significantly as independent endpoints, nor as a composite event between remotely and In-Clinic-monitored patients in the first 2 years post-implantation.

  • The incidence of ICD therapy subevents did not differ significantly between the RPM and In-Clinic group either, except for appropriate ICD therapy (4.3% RPM vs. 8.5% In-Clinic; P = 0.04).

  • The clinical outcomes provide evidence that routine In-Clinic visits may partly be substituted by RPM without jeopardizing safety and efficiency, and thus reducing unnecessary clinic visits.

Introduction

Over the past decades, the number of patients suffering from heart failure has increased drastically and the indications for implantable cardioverter-defibrillators (ICDs) have expanded. In order to prevent death from life-threatening ventricular arrhythmias, heart failure patients are preferably treated with ICD therapy. The growing number of patients implanted with an ICD translates into an increasing demand for their follow-up.1,2

The introduction of remote patient monitoring (RPM) systems offer a promising alternative to conventional In-Clinic check-ups by sending disease- and ICD-related data to the hospital, hereby reducing unnecessary clinic visits.3 The European Society of Cardiology (ESC) Guidelines on cardiac pacing and cardiac resynchronization therapy, developed in collaboration with the European Hearth Rhythm Association (EHRA) in 2013, recommend the use of RPM to provide earlier detection of clinical problems and technical issues.4 Additionally, the ESC published a guidance document for the diagnosis and management of cardiovascular diseases during the COVID-19 pandemic in 2020. In this document, experts advocated substituting routine device interrogation clinic visits by RPM to the fullest extent as long as the pandemic status is maintained by the World Health Organization (WHO).5 Furthermore, in a consensus statement in 2015, the Heart Rhythm Society (HRS) stated that remote monitoring should be offered to all patients implanted with a cardiac implantable electronic device (CIED) as part of the follow-up strategy.6

Large clinical trials and meta-analyses have already demonstrated that RPM is safe and effective in ICD patients. Regarding the association between RPM and clinical outcomes (e.g. mortality, hospitalization, and ICD therapy), findings of previous studies have been inconsistent. In the majority of the studies, RPM was used as an addition to conventional In-Clinic follow-up.7–9 Those randomized controlled trials (RCTs) mostly reported neutral effects, whereas non-randomized clinical studies observed significantly reduced mortality and hospitalization rates.10,11 The IN-TIME, TIM-HF2, and ECOST randomized trials reinforced these clinical benefits. The IN-TIME and TIM-HF2 study concluded that RPM leads to a reduction in all-cause and cardiovascular mortality rates.7,8 Lastly, the ECOST study showed that both the total number of given shocks and patients receiving inappropriate shocks was reduced in remotely monitored patients.12 In more recent studies, RPM was partly substituted In-Clinic visits and the results were again conflicting. The RESULT study observed a reduced hospitalization rate and composite event of cardiovascular hospitalization and all-cause mortality in the RPM group.13 In contrast, the MORE-CARE found no difference in the primary endpoint, defined as all-cause mortality and hospitalization for cardiovascular or device-related reasons.14

The European REMOTE-CIED study was primarily designed to be the first and largest RCT to investigate the effect of RPM on patient-reported ICD acceptance and disease-specific health status.15 Usual care was partly replaced by RPM and the study was performed under daily practice reflecting circumstances. This distinguishes the REMOTE-CIED trial from previously conducted trials, as those trials intensified follow-up by using RPM as an addition to conventional In-Clinic follow-up, daily data transmission, or integrating a central monitoring unit.7–9 The results of the REMOTE-CIED study showed no difference in heart failure-specific health status or ICD acceptance between the remotely and In-Clinic monitored patients in the first 2 years after implantation.16–18 The influence of replacing In-Clinic follow-up by RPM on mortality, hospitalization, and ICD therapy in heart failure patients with an implanted ICD/CRT-D was investigated as secondary outcomes during the REMOTE-CIED trial. The aim of this article is to elucidate the effect of substituting In-Clinic follow-up by RPM on these clinical outcomes.

Methods

Study design and participants

A detailed description of the study design has been published previously.15 In brief, the European REMOTE-CIED study was a prospective, multicentre, randomized trial, monitoring 595 heart failure patients implanted with an ICD/cardiac resynchronization therapy defibrillator (CRT-D) for 2 years post-implantation. The participating centres consisted of 32 general and academic hospitals in France, Germany, The Netherlands, Spain, and Switzerland. Selection criterion for participating was an existing infrastructure for RPM and experience with the LATITUDE™ system.

Between April 2013 and January 2016, patients were recruited and screened for eligibility by local investigators. Patients were eligible for participation if they (i) received a de novo ICD (single chamber/dual chamber/biventricular) compatible with the LATITUDE™ Patient Management System (Boston Scientific) in one of the participating centres and (ii) suffered from symptomatic heart failure [Left ventricular ejection fraction (LVEF) ≤35% and New York Heart Association (NYHA) functional Class II or III]. Exclusion criteria were not met if the patient was (i) younger than 18 or older than 85 years of age, (ii) on the waiting list for a heart transplantation, (iii) had a history of psychiatric illness other than affective/anxiety disorders, (iv) was unable to complete the questionnaire due to cognitive impairments, or (v) had insufficient knowledge of the language in the country where patients were recruited.

All participants received written and oral information about the study and provided written informed consent. The trial was conducted in accordance with the principles outlined in the Declaration of Helsinki. The study protocol was approved by the medical ethics committees of all participating centres and the trial is registered on ClinicalTrials.gov under study ID NCT01691586.

After recruitment, patients were randomized in a 1:1 fashion to either RPM plus annual In-Clinic follow-up (RPM group) or In-Clinic follow-up only (In-Clinic group) with the use of a blocked randomized procedure. To ensure that the relative percentage of ICD and cardiac resynchronization therapy defibrillator (CRT-D) patients was equal in both the RPM and In-Clinic groups, a separate randomization procedure was used within these two subsets of patients.

In compliance with the ACC/AHA/HRS guidelines, patients randomized to the RPM group had scheduled In-Clinic visits at 12 and 24 months post-implantation.19 The intermediate ICD check-ups were performed remotely at least every 6 months and data similar to that of an In-Clinic device interrogation were gathered. Patients randomized to the In-Clinic group visited the outpatient clinic (at least) every 3–6 months, according to the participating centres’ standard clinical routine. The ICD programming in all patients as well as the programming of the remote monitoring alerts were at the discretion of the implanting centre.

Baseline characteristics

At baseline, information on patients’ clinical characteristics was extracted from their medical records and documented in an electronic case report form by local investigators. This information included ICD/heart failure characteristics, medication, and comorbidities. In both groups, patients received baseline and follow-up questionnaires regarding socio-demographics, lifestyle behaviour, psychological characteristics, ICD acceptance, and heart failure-related health status. These questionnaires and results of the primary outcomes have been discussed in greater detail in previous published articles.16–18

Clinical outcomes

In order to assess the influence of RPM on clinical outcomes, information on cardiac-related hospitalization, mortality (all-cause and cardiac), and time to first ICD therapy was extracted from patients’ medical records and gathered via electronic case report forms at baseline (T0), 3 (T1), 6 (T2), 12 (T3), and 24 months (T4) post-implantation. The time to first ICD therapy was subdivided as follows: (i) any ICD therapy (shock/ATP/appropriate/inappropriate), (ii) appropriate ICD therapy (shock/ATP), (iii) inappropriate ICD therapy (shock/ATP), (iv) appropriate ICD shock, and (v) inappropriate ICD shock.

Sample size calculation and statistical analysis

The sample size calculation has been presented in detail elsewhere.15,16 Patient characteristics are reported as frequencies with percentages [N (%)] for categorical variables, and medians with inter-quartile ranges [median (IQR)] for continuous variables, as the data followed a non-Gaussian distribution. In order to detect statistically significant differences between the study arms, the Pearson’s χ2 test (or Fisher’s exact test if appropriate), and Mann–Whitney U test were applied to categorical variables and continuous variables, respectively. All events regarding hospital admission, mortality, and ICD therapy from the day of signing informed consent to 24 months post-implantation or premature study termination were included in the analyses. The Cox proportional hazards model was used to perform posthoc survival analyses on these clinical outcomes.

In addition to the intention-to-treat analyses, per-protocol analyses excluding all crossovers were performed, taking the relative high number of patients who switched study arms into account (15 RPM and 34 In-Clinic). All performed tests were two-tailed, and P values ≤0.05 indicated statistical significance. Analyses were performed with SPSS 22.0 (SPSS Inc., Chicago, IL, USA), and SAS 9.4 (SAS Institute, Cary, NC, USA).

Results

Sample characteristics

The process of patients’ enrolment, allocation, and follow-up has been described in detail elsewhere.16 After enrolment and allocation, the final study sample for the intention-to-treat analysis consisted of 595 patients. The RPM group yielded a total of 300 patients and 295 patients were allocated to the In-Clinic arm.

Baseline characteristics of the total study sample, including device/heart failure characteristics, cardiac medication, and comorbidities, are stratified by randomization group and present in Table  1.

Table 1.

Baseline characteristics of the total sample, and stratified by randomization groupa

Total sample (n = 595) RPM group (n = 300) In-Clinic group (n = 295)
Age (years) 65 (59–73) 66 (58–73) 65 (59–73)
Female 123 (21) 67 (22) 56 (19)
Device/health failure characteristics
 Type of ICD
  Single chamber 256 (43) 126 (42) 130 (44)
  Dual chamber 109 (18) 60 (20) 49 (17)
  Biventricular 230 (39) 114 (38) 116 (39)
  Secondary prophylactic ICD indication 86 (15) 42 (14) 44 (15)
  Ischaemic heart failure aetiology 336 (57) 158 (53) 128 (60)
  QRS duration (ms) 120 (102–156) 118 (102–157) 124 (102–154)
  Ejection fraction (≤3 months pre-implantation) 27 (22–31) 27 (21–31) 28 (22–31)
  New York Heart Association Class III 197 (33) 98 (33) 99 (34)
Cardiac medication
 ACE inhibitors + ARBs 525 (88) 267 (89) 258 (88)
 Beta-blockers (excluding sotalol) 497 (84) 247 (82) 250 (85)
 Diuretics 431 (72) 217 (72) 214 (73)
 Aldosterone antagonists 370 (62) 177 (59) 193 (65)
 Antiarrhythmic medication (including sotalol) 98 (17) 49 (16) 49 (17)
Comorbidities
 Diabetes mellitus 192 (32) 90 (30) 102 (35)
 Chronic obstructive pulmonary disease 84 (14) 45 (15) 39 (13)
 Renal disease (GFR <60 mL/min/1.73 m2) 148 (25) 75 (25) 73 (25)
 Atrial fibrillation 168 (28) 85 (28) 83 (28)
 Hypertension 347 (58) 171 (57) 176 (60)
 Anaemia (HB <8.6/<7.4 mmol/L—males/females) 63 (11) 29 (10) 34 (12)

Results are presented as frequencies with percentages [N (%)] for categorical variables, and medians with inter-quartile ranges [median (IQR)] for continuous variables. All comparisons between the two groups were insignificant (all Ps > 0.05).

ACE, angiotensin-converting enzyme; ARBs, angiotensin receptor blockers; GFR, glomerular filtration rate; HB, haemoglobin; ICD, implantable cardioverter-defibrillator; RPM, remote patient monitoring.

a

Intention-to-treat.

Mortality and cardiac hospitalization

The number of all-cause mortality and cardiac hospitalization were combined and analysed as a composite event. The proportion of affected patients did not differ significantly between the RPM and In-Clinic group (101 vs. 114, P = 0.21). Furthermore, the Cox regression model showed no significant between-group difference in time to first cardiac hospitalization or all-cause mortality [hazard ratio (HR) 0.86; 95% confidence interval (CI) 0.66–1.1; P = 0.27]. The calculated frequency, HR/odds ratio (OR), 95% CI, and P values for all-cause mortality or cardiac hospitalization and other events are listed in Table  2. The mortality and hospitalization rates were further evaluated as independent endpoints. At the end of the study, 19 (6.3%) of 300 patients in the RPM group and 21 (7.1%) of 295 in the In-Clinic group had deceased. Of those deaths, 10 (3.3%) vs. 8 (2.7%) were caused by cardiac disease. The number of all-cause and cardiac deaths did not differ significantly between the study arms (P = 0.70 all-cause, P = 0.66 cardiac). The survival analysis demonstrated no statistically significant differences for neither time to all-cause mortality (HR 0.90; 95%; CI 0.48–1.7; P = 0.73), nor cardiac mortality (HR 1.2; 95%; CI 0.49–3.1; P = 0.65). With respect to the hospitalization rate, the number of cardiac hospital admissions did not differ significantly between the remotely and In-Clinic monitored patients (96 vs. 106, P = 0.31) and no association between the time to first cardiac hospitalization and study group was indicated (HR 0.88; 95% CI 0.67–1.2; P = 0.36). However, the number of visits per patient per year was significantly lower in remotely monitored patients (1.46 RPM vs. 2.23 UC; P < 0.001).

Table 2.

Effect of RPM on clinical event rates over 24 months’ follow-upa

Event RPM group (n = 300) In-Clinic group (n = 295) HR/OR 95% CI P value
Cardiac-related hospitalization or all-cause mortality 101 (34) 114 (39) 0.86 0.66–1.1 0.27
Cardiac-related hospitalization 96 (32) 106 (36) 0.88 0.67–1.2 0.36
All-cause mortality 19 (6.3) 21 (7.1) 0.90 0.48–1.7 0.73
Cardiac mortality 10 (3.3) 8 (2.7) 1.2 0.49–3.1 0.65
Any ICD therapy 24 (8.0) 36 (12) 0.65 0.39–1.1 0.09
Appropriate ICD therapy 13 (4.3) 25 (8.5) 0.50 0.26–0.98 0.04
Inappropriate ICD therapy 8 (2.7) 7 (2.4) 1.1 0.41–3.1 0.82
Any ICD shock 21 (7.0) 32 (11) 1.0 0.60–1.8 0.87
Appropriate ICD shock 14 (4.7) 21 (7.1) 0.53 0.24–1.2 0.11
Inappropriate ICD shock 10 (3.3) 7 (2.4) 1.29 0.43–3.8 0.65

Results are presented as number of patients with percentages [N (%)]. Significant results (P < 0.05) are printed in bold. The HR/OR and 95% CI are shown with the In-Clinic group as reference.

CI, confidence interval; HR, hazard ratio; OR, odds ratio; RPM, remote patient monitoring.

a

Intention-to-treat.

Impact of remote patient monitoring on implantable cardioverter-defibrillator therapy

The impact of RPM on ICD therapy was evaluated and subdivided in the following events: any ICD therapy, appropriate ICD therapy, inappropriate ICD therapy, any shock, appropriate shock, and inappropriate shock. Posthoc Pearson’s χ2 tests and survival analyses detected no significant difference between the randomization groups in any subdivided event, with the exception of appropriate ICD therapy. At the time of study completion, 13 remotely vs. 25 In-Clinic monitored patients had undergone appropriate ICD therapy (P = 0.04). Finally, a significant difference was indicated between the randomization groups and time to first appropriate ICD therapy (HR 0.5; 95% CI 0.26–0.98; P = 0.04). The calculated details of all subdivided events are present in Table  2.

Exploratory analysis of subgroups

In an exploratory analysis, clinical outcomes were assessed within subgroups. The results are present in Figure 1 (All-cause mortality and cardiac hospitalization composite), Figure 2 (Any ICD therapy), Figure 3 (Appropriate ICD therapy), and Figure 4 (Inappropriate ICD therapy). No significant interactions were perceived between specific patient characteristics and RPM utilization for the composite event or inappropriate ICD therapy, but were indicated for any and appropriate ICD therapy. Regarding any ICD therapy event, the probability of undergoing therapy was lower in remotely monitored patients ≥60 years of age (OR 0.50; 95% CI 0.27–0.91; P = 0.02). Furthermore, patients >60 years of age or suffering from permanent atrial fibrillation in the RPM group were less likely to receive appropriate ICD therapy compared with the In-Clinic group (OR 0.37; 95% CI 0.17–0.85; P = 0.013 and OR 0.075; 95% CI 0.009–0,61; P = 0.002, respectively).

Figure 1.

Figure 1

Forest plot of subgroup analysis for the risk of all-cause mortality or cardiac hospitalization composite.a Clinical characteristics as measured at baseline. The hazard ratio and 95% confidence interval are shown with the In-Clinic group as reference. aIntention-to-treat. EHFScBS-12, European Heart Failure Self Care Behaviour Scale (range 12–60, higher score indicates worse self-care behaviour); ICD, implantable cardioverter-defibrillator; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association.

Figure 2.

Figure 2

Forest plot of subgroup analysis for the probability of undergoing any ICD therapy.a Clinical characteristics as measured at baseline. The odds ratio and 95% confidence interval are shown with the In-Clinic group as reference. aIntention-to-treat. EHFScBS-12, European Heart Failure Self Care Behaviour Scale (range 12–60, higher score indicates worse self-care behaviour); ICD, implantable cardioverter-defibrillator; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association.

Figure 3.

Figure 3

Forest plot of subgroup analysis for the probability of undergoing appropriate ICD therapy.a Clinical characteristics as measured at baseline. The odds ratio and 95% confidence interval are shown with the In-Clinic group as reference. aIntention-to-treat.EHFScBS-12, European Heart Failure Self Care Behaviour Scale (range 12–60, higher score indicates worse self-care behaviour); ICD, implantable cardioverter-defibrillator; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association.

Figure 4.

Figure 4

Forest plot of subgroup analysis for the probability of undergoing inappropriate ICD therapy.a Clinical characteristics as measured at baseline. The odds ratio and 95% confidence interval are shown with the In-Clinic group as reference. No patients with new onset atrial fibrillation had undergone inappropriate ICD therapy. Hence, new onset atrial fibrillation could not be plotted. aIntention-to-treat. EHFScBS-12, European Heart Failure Self Care Behaviour Scale (range 12–60, higher score indicates worse self-care behaviour); ICD, implantable cardioverter-defibrillator; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association.

Discussion

According to our findings, the partial substitution of conventional In-Clinic follow-up by RPM in patients implanted with an ICD did not lead to significant differences in mortality (all-cause or cardiac) or cardiac hospitalization as independent endpoints, nor as a composite event in the first 2 years post-implantation. Regarding the impact of remote monitoring on ICD therapy, no significant differences were demonstrated between the randomization groups in any previously defined subevents, except for appropriate therapy (OR 0.50; 95% CI 0.26–0.98; P = 0.04). The probability of remotely monitored patients undergoing appropriate ICD therapy was reduced by half in comparison with the In-Clinic group. An additional per-protocol analysis was performed and demonstrated results consistent with the intention-to-treat analysis. However, the observed lowering effect of RPM on the odds of undergoing appropriate ICD therapy was diminished to an insignificant size (P = 0.25). Nonetheless, the trend of a lower appropriate therapy probability in remotely monitored patients persisted (HR 0.66; 95% CI 0.32–1.3). Recent developments of algorithms for the early detection of progression of heart failure such as HeartLogic™ may improve remote heart failure monitoring and reduce hospitalization.

The subgroup analysis of REMOTE-CIED patients indicated that the effect of patient management guided by RPM differs between patients with specific characteristics. Remotely monitored patients ≥60 years of age or suffering from permanent atrial fibrillation had a smaller chance of receiving appropriate ICD therapy in comparison with the In-Clinic group. Furthermore, a lower probability of receiving any ICD therapy was observed in patients ≥60 years in the RPM group compared with the In-Clinic group. A subanalysis of the IN-TIME study concluded that the absolute benefit from RPM seems to be higher in high-risk patients with worse prognosis, but this was only broadly assessed by comparing ICD with CRT-D patients.20 In order to provide personalized care, further research is warranted to investigate the effect of RPM on specific subgroups of patients.

In essence, the results of the current study provide evidence that RPM is non-inferior to In-Clinic follow-up with respect to clinical outcomes. Several previously conducted studies did observe improved clinical outcomes in remotely monitored patients.7–9,13 However, the applied study designs differed from the REMOTE-CIED trial. Meta-analyses have indicated that intensifying follow-up with daily transmission and verification of data and predefined response mechanisms to RPM-alerts, improve clinical outcomes.10,21 The only RCT to date (IN-TIME) that detected a significantly decreased mortality risk, adopted this intensified follow-up by using a central monitoring unit. Moreover, RPM was used on top of usual care.7 Details of all studies discussed in this section are present in Table 3. After 12 months of follow-up, the all-cause mortality rate was 3.4% in the RPM vs. 8.7% in the control group (HR 0.36; 95% CI 0.17–0.74; P = 0.004). This number of all-cause deaths in the control group is remarkably high in comparison with the In-Clinic group (3.5%) in the REMOTE-CIED study after 12 months and could consequently have increased statistical significance. In addition, in the IN-TIME study a total of 99 additional in clinic follow-up visits were required for 63 (19%) remotely monitored patients, corresponding to 0.32 extra visits per patient–year. The total number of visits was also increased in the RPM group (985 RPM vs. 844 UC). In contrast, in the REMOTE-CIED study, a beneficial trend in favour of the RPM group was observed relating to unscheduled visits (47 RPM patients vs. 66 UC; P = 0.057). The reduced mortality risk in the IN-TIME RPM group could partly be attributed to potential undertaken interventions during unscheduled visits.11

Table 3.

Detailed characteristics and eligibility criteria of discussed previously conducted studies

Study RPM group FU Control group FU Sample size (n) FU duration (months) LVEF (%) NYHA class CIED type
IN-TIME7 Clinic visits according to clinical standard at participating centre; RPM on top of UC Clinic visits according to clinical standard at participating centre 716 12 ≤35 NYHA II–III Biotronik Lumax ICD/CRT-D
TIM-HF 28 Clinic visits according to clinical standard at participating centre; RPM on top of UC Clinic visits according to clinical standard at participating centre 1571 13 ≤45 (or >45 + diuretics) NYHA II–III No CIED, ICD or CRT-D
RESULT13 Clinic visit at 12 months; RPM replaced In-Clinic visit at 3, 6, and 9 months Clinic visit every 3 months 600 12 ≤35 NYHA II–IV St Jude, Biotronik, Medtronic, Boston ICD/CRT-D
MORE-CARE14 Clinic visit every 8 months; RPM replaced In-Clinic visits at 8, 16, and 24 months Clinic visit every 4 months 865 24 ≤35 NYHA III–IV Medtronic CRT-D with OptiVol
REM-HF9 Clinic visit every 3/6 months; RPM on top of UC Clinic visit every 3/6 months 1650 Median 33.6 No criterium specified NYHA II–IV Medtronic, Boston Scientific, St. Jude Medical ICD/CRT-D/CRT-P
ECOST12 Clinic visit at 12 and 24 months; RPM replaced In-Clinic visits at 6 and 18 months. Clinic visit every 6 months 433 24 No criterium specified NYHA I–III Biotronik ICD

CIED, cardiac implantable electronic device; CRT-D, cardiac resynchronization therapy defibrillator; CRT-P, cardiac resynchronization therapy pacemaker; ECOST, Costs of remote monitoring vs. ambulatory follow-ups of implanted cardioverter-defibrillators; FU, follow-up; ICD, implantable cardioverter device; IN-TIME, Influence of home monitoring on mortality and morbidity in heart failure patients with impaired left ventricular; LVEF, left ventricular ejection fraction; MORE-CARE, Monitoring resynchronization devices and cardiac patient; NYHA, New York Heart Association; REM-HF, Remote management of heart failure using implantable electronic devices; RPM, remote patient monitoring; RESULT, Remote supervision to decrease hospitalization rate; TIM-HF2, Telemedical interventional management in patients with heart failure; UC, usual care.

Another RCT (TIM-HF2) demonstrated that offering support from a telemedical centre 24/7, conducting monthly telephone interviews and transmitting data daily resulted in a significantly reduced mortality rate in heart failure patients (7.9% RPM vs. 11% UC; P = 0.028).8 Again, these mortality rates are high in comparison with the REMOTE-CIED study (1-year mortality: 3.1% RPM vs. 3.5% UC), and could subsequently have increased statistical significance.

In contrast to the studies mentioned above, In-Clinic visits were partly substituted in the RESULT and MORE-CARE studies.13,14 In the RESULT study, the primary endpoint (all-cause mortality and cardiovascular hospitalization) occurred significantly less frequently in the RPM group in comparison with the UC group (39.5% RPM and 48.5% UC; P = 0.048) and the same conclusion was drawn regarding the cardiovascular hospitalization rate (37.1% RPM vs. 45.5% UC; P = 0.045). Remotely monitored patients only had a scheduled clinic visit at 12 months post-implantation. However, data were analysed daily by the central remote monitoring office. The MORE-CARE study showed a significant 38% reduction in health-care utilization, defined as cardiovascular hospitalizations, emergency department visits and in-office follow-ups, in the RPM group (IRR 0.62; 95% CI 0.58–0.66; P < 0.001), whereas results regarding mortality and hospitalization remained neutral.

Integrating an intensified follow-up routine with RPM in addition to conventional care, a central monitoring unit or a telemedical centre, would lead to an even higher workload instead of health care burden relief. This is particularly undesirable during the current COVID-19 pandemic. In addition, the REM-HF study reported that only 3534 (<8%) out of 79 325 reviewed data transmissions required an intervention during 2 years of follow-up.9 Medication had to be changed after merely 226 (<0.5%) transmissions. However, this excessive number of transmissions did not result in reduced mortality or hospitalization rates. RPM was used on top of usual care in this study.

In relation to ICD therapy, the ECOST study is the only RCT that has detected significantly reduced shock risks.12 Both the total number of shocks and patients receiving inappropriate shocks were diminished (193 RPM vs. 657 UC; P < 0.05 and 11 RPM vs. 22 UC; P < 0.05, respectively), whereas no difference in mortality or hospitalization was observed in 2 years of follow-up. Besides, the number of visits per patient per year was significantly lower in remotely monitored patients (1.46 RPM vs. 2.23 UC; P < 0.001).

Earlier, the REMOTE-CIED study already provided evidence that partly substituting In-Clinic visits by RPM does not influence patient-reported health status, nor ICD acceptance or treatment satisfaction.16,17 The present paper has proven that even without implementing a central monitoring unit, 24/7 available telemedical support, and daily or weekly data transmission, RPM is non-inferior to usual care regarding clinical outcomes. Thus, remote monitoring systems do not have to be used on top of usual care to reduce the number of unnecessary clinic visits without jeopardizing safety and efficiency. Therefore, we would recommend making the use of RPM systems standard practice.

Limitations

As the majority of studies, the current study was subject to potential limitations. The first limitation concerns the relative high number of dropouts and crossovers, which has impacted the statistical power of our analysis negatively. An additional per-protocol analysis excluding all crossovers was performed in order to correct for this. Secondly, the study sample consisted of relatively young patients (mean age 65) with mild heart failure (67% NYHA II) and the results may therefore not be generalizable to older patients with severe heart failure. Furthermore, an RPM system from a single manufacturer was used in this study: the LATITUDE™ Patient Management system from Boston Scientific. Differences in the various available systems exist and could subsequently lead to inconsistent outcomes.10 Another limitation concerns the remarkably low incidence of inappropriate ICD therapy in the REMOTE-CIED study (2.7% RPM vs. 2.4% In-Clinic). Our study started in 2013, and several studies about ICD programming to avoid unnecessary ICD therapy had already been published.22–24 Finally, it is important to consider that the posthoc subanalysis was of an explorative nature and might lack sufficient power, as the number of events in specific subgroups was low. Nevertheless, these results could provide indications for further research.

Conclusion

The clinical endpoints of the REMOTE-CIED study demonstrated that the partial substitution of In-Clinic follow-up by RPM in patients with heart failure did not have an effect on the rate of all-cause mortality and cardiac hospitalization combined, (all-cause mortality or cardiac) mortality, cardiac hospitalization or ICD therapy. The conclusion can be drawn that partly substituting routine In-Clinic visits for device interrogation by RPM is safe and effective.

Supplementary material

Supplementary material is available at Europace online.

Funding

This work was supported by a research grant from Boston Scientific to support independent investigator-initiated research (https://www.bostonscientific.com/en-EU/investigator-sponsored-research.html).

Conflict of interest: none declared. Published by Oxford University Press on behalf of the European Society of Cardiology.

Data availability

The data underlying this article cannot be shared publicly for the privacy of individuals that participated in the study. The data will be shared on reasonable request to the corresponding author.

Supplementary Material

euab221_Supplementary_Data

Contributor Information

Cheyenne S L Chiu, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

Ivy Timmermans, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; Department of Medical and Clinical, CoRPS—Center of Research on Psychology in Somatic Diseases, Tilburg University, Tilburg, The Netherlands.

Henneke Versteeg, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

Edgar Zitron, Department of Cardiology, Universitätsklinikum Heidelberg, Heidelberg, Germany.

Philippe Mabo, Department of Cardiology, Centre Hospitalier Universitaire, Rennes, France.

Susanne S Pedersen, Department of Psychology, University of Southern Denmark, Odense, Denmark; Department of Cardiology, Odense University Hospital, Odense, Denmark.

Mathias Meine, Department of Cardiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

euab221_Supplementary_Data

Data Availability Statement

The data underlying this article cannot be shared publicly for the privacy of individuals that participated in the study. The data will be shared on reasonable request to the corresponding author.


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