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01-06-2013 | ORIGINAL ARTICLE – E-LEARNING | Uitgave 6/2013 Open Access

Netherlands Heart Journal 6/2013

Implementation of guidelines for implantable cardioverter-defibrillator therapy in clinical practice: Which patients do benefit?

Tijdschrift:
Netherlands Heart Journal > Uitgave 6/2013
Auteurs:
S. C. Wijers, B. Y. M. van der Kolk, A. E. Tuinenburg, P. A. F. Doevendans, M. A. Vos, M. Meine
Belangrijke opmerkingen
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Introduction

For almost 30 years, implantable cardioverter defibrillators (ICD) have been used in the prevention of sudden cardiac death caused by life-threatening cardiac arrhythmias. In 1984, the first ICD implantation in the Netherlands was performed at the University Medical Center Utrecht (UMCU). Over the last decades, multiple studies, including series of randomised controlled trials, have demonstrated a beneficial effect of an ICD in the prevention of sudden cardiac death [ 18]. In particular, in patients with ischaemic heart disease and impaired left ventricular function, primary prophylactic ICD implantation was proven to be effective [ 3, 6, 8]. In patients with non-ischaemic cardiomyopathy, however, trials had difficulties reaching statistical significance, because of the low incidence of life-threatening tachyarrhythmias in these patients [ 6]. Guidelines have been evolving over the years incorporating the evidence of recent trials [ 911]. In the last decade the evidence about primary prophylactic ICD therapy produced a steep increase in the number of ICD implantations in Western Europe countries. A shift in indication from predominantly secondary to primary prophylaxis occurred due to a significantly higher number of suitable candidates, which increased further with the broadening of indications in the guidelines of 2008 [ 9]. However, recent reports express concerns about cost-effectiveness and the benefit-complication ratio [ 1215]. The question is in which patients and in how many of them we actually prevent a sudden cardiac death. Critical articles about the sense and non-sense of ICD implantation for primary prophylaxis in certain patient populations have given rise to some doubts making it more difficult to implement and interpret guidelines accurately [ 16, 17]. This results in a higher number of non-evidence-based ICD implantations on one hand and a substantial number of patients eligible for ICD implantation, which are not recognised on the other.
We retrospectively collected several patient characteristics for all patients who received an ICD implant in the University Medical Center Utrecht (UMCU) over the years 2006–2011. In this study we give an overview of ICD implantations in this centre and present rates of, and risk factors for, appropriate and inappropriate ICD therapy, appropriate and inappropriate ICD shock and mortality. Subsequently, we evaluate the adherence to international guidelines in clinical practice and provide directions for future indications for ICD implantation.

Materials and methods

Patient population and parameters

In our tertiary centre, we retrospectively identified all new ICD implantations from 2006 until the end of 2011. In the determination of different indications, the class I or II recommendations of the 2006 and 2008 ACC/AHA/HRS guidelines were used [ 9, 18]. Obtained variables included patient demographics, indication for implantation, New York Heart Association (NYHA) functional class, left ventricular ejection fraction (LVEF), renal clearance, history of diabetes, documented rhythm disorders, QRS duration, medication and device settings.
The LVEF was rated by transthoracic echography, nuclear myocardial perfusion scan, or magnetic resonance imaging (MRI). If more than one modality was available, preference was given to LVEF provided by MRI. To determine renal function at baseline, serum creatinine was used to calculate the glomerular filtration rate (GFR) using the Modification of Diet in Renal Disease (MDRD) formula [ 19]. History of diabetes and use of medication was also rated at baseline or at least as close as possible to the date of implantation, with a maximum of one month. To allocate the different antiarrhythmic drugs into classes, the Vaughan Williams classification was used [ 20]. Finally, specific information regarding device programming was retrieved from the last visit to the outpatient clinic.
Data were collected from electronic medical records and implantation reports by the first two authors. Collection of follow-up data for all patients was completed by the end of May 2012.

Implant technique and ICD programming

All devices were implanted by one of our cardiologists in the Cardiac Catheterisation Laboratory of the UMCU. No thoracotomies were performed for implantation and all patients received endocardial leads and subpectoral or subcutaneous device placement. Devices from Boston Scientific (Natick, MA, USA), Medtronic (Minneapolis, MN, USA) and St. Jude Medical (St Paul, MN, USA) were used. Programming of ventricular tachycardia (VT)/ventricular fibrillation (VF) zones, monitor zones and additional programming of antitachycardia pacing (ATP) therapy was decided by patient’s cardiologist.

Definitions

Ischaemic cardiomyopathy as underlying heart condition was defined as either the presence of coronary artery disease, myocardial infarction or both. A history of atrial tachyarrhythmia was documented when patients suffered from atrial fibrillation or atrial flutter, or had experienced episodes of these arrhythmias in the past. We defined ICD therapy as delivery of either antitachycardia pacing (ATP) and/or ICD shock (cardioversion or defibrillation), which was considered appropriate when given in the presence of a ventricular tachyarrhythmia. Therapy given in the absence of a ventricular tachyarrhythmia, but triggered as a result of i.e. supraventricular tachycardia or due to technical disturbances, was defined as inappropriate ICD therapy. For the incidences of either inappropriate or appropriate ICD shock all patients who received an ICD shock were counted regardless of delivery of previous ATP. For incidences of both ICD therapy and ICD shock, each patient is counted once, regardless of the number of events in one patient.

Statistical analysis

Categorical variables were presented as absolute numbers and percentages and continuous variables were expressed as a mean with an upper and lower standard deviation. To compare differences between baseline characteristics, the independent sample t-test was used for continuous variables and the chi-square test for categorical variables.
Multivariate Cox regression analysis was used to determine independent risk factors for appropriate and inappropriate ICD therapy, appropriate and inappropriate ICD shock and mortality. Kaplan-Meier curves were constructed to determine cumulative incidence of appropriate ICD shocks. To perform these analyses, SPSS 20.0 (IBM, USA) was used.

Results

From January 2006 to December 2011, 1075 de novo ICD implantations were performed at the UMCU.

Baseline characteristics

An overview of the baseline characteristics of the 1075 patients is presented in Table  1. In 2006, 134 ICD implantations were performed; in 2011 this amount had almost doubled (229, +171 %). ICDs were implanted for primary prevention in 654 patients (61 %); 626 (58 %) patients had ischaemic heart disease. There was a 3/1 male versus female ratio. Of all de novo implants almost 30 % consisted of cardiac resynchronisation therapy – defibrillator (CRT-D) implantations. The mean age of the total population was 61 ± 13 years, the mean LVEF 30 ± 13 %, and 78 % used at least one antiarrhythmic agent, particularly beta-blockers (71 %). A history of atrial arrhythmia was seen in 28 % of the patients. During a mean follow-up period of 31 months (± 17 months), 155 patients died.
Table 1
Overview of all de novo implantations of implantable cardioverter-defibrillators performed at the UMCU over the years 2006–2011
Characteristic
Total population ( n = 1075)
Ischaemic ( n = 626)
Non-ischaemic ( n = 449)
Secondary ( n = 421)
Primary ( n = 654)
Number (%)
Number (%)
Number (%)
Number (%)
Number (%)
Implantations
 2006/2007/2008/
134/144/148/
80/97/93/
54/47/55/
57/67/67/
77/77/81/
 2009/2010/2011
213/207/229
112/113/131
101/94/98
86/60/71
127/147/158
 1/2/3 leads
596/165/314
379/97/150
217/68/164
281/82/58
315/83/256
 Ischaemic/non-ischaemic aetiology
626(58)/449(42)
-
-
271(64)/150(36)
355(54)/299(46)*
 Primary/secondary indication
654(61)/421(39)
355(57)/271(43)
299(47)/150(33)*
-
-
Demographics
 Age(years, mean, SD)
61 ± 13
66 ± 10
55 ± 15*
62 ± 14
61 ± 13
 Sex (male/female)
796(74)/279(26)
526(84)/100(16)
270(60)/179(40)*
337(80)/84(20)
459(70)/195(30)*
Clinical parameters
 LVEF (%; mean, SD)
30 ± 13
28 ± 10
33 ± 17*
36 ± 15
27 ± 11*
 NYHA class (I/II/III/IV)
75/194/267/14
43/141/140/4
32/53/127/10
29/45/39/4
46/149/228/10
 QRS duration (ms, mean, SD)
127 ± 33
125 ± 29
130 ± 37*
120 ± 30
132 ± 34*
 Diabetes mellitus II
204(19)
156(25)
48(11)*
66(16)
138(21)*
 GFR (mean, SD)
67 ± 22
65 ± 20
72 ± 23*
71 ± 22
65 ± 21
 History of atrial tachyarrhythmia
300(28)
174(28)
126(28)
125(30)
175(27)
 Loss to follow-up
116(11)
67
49
63
53*
Medication at baseline
 Antiarrhythmic agent
842(78)
520
322*
317
525*
 Class II a
705(66)
436
269*
452
253
 Class III a
102(9)
88
53
59
82
Mean follow-up period 31 ± 17 months
SD standard deviation, LVEF left ventricular ejection fraction, NYHA New York Heart Association, OHCA out-of-hospital cardiac arrest, GFR glomerular filtration rate (MDRD)
* p < 0.05
aAlone or in combination with another antiarrhythmic drug

Ischaemic versus non-ischaemic cardiomyopathy

In Table  1, a distinction was made between patients with ischaemic cardiomyopathy (ICM) and non-ischaemic cardiomyopathy (NICM). The mean age at implant in the patients with NICM was lower (55 ± 15 versus 66 ± 10, p < 0.001) and the distribution between men and women was more equal (male/female ratio of 5.3/1 versus 1.5/1). In patients with ischaemic aetiology, the mean LVEF and the GFR were significantly lower and diabetes mellitus type II more prevalent.

Primary versus secondary indication for ICD implantation

The increase in the number of ICD implantations was mainly based on the increase in primary prophylactic implants. The percentage of patients with ICM was significantly lower in the patients with an ICD implanted for primary prevention compared with secondary prevention (54 % and 64 %, respectively, p < 0.001). LVEF was significantly higher in patients implanted for secondary prevention than in patients with a primary indication, 36 ± 15 % versus 27 ± 11 %, respectively ( p < 0.001).

ICD settings

A single zone (VF only) was installed in 7 % of the patients, two zones (VT + VF) in 80 % and three zones (VT-1, VT-2 and VF) in 10 %. In the VT-1, VT-2 and VF zone the mean rates installed were 180 ± 13, 188 ± 12, and 226 ± 17 beats/min, respectively. In the remaining 3 %, data of the ICD settings were not available. In approximately 90 % ATP was programmed (either as single therapy or prior to shock therapy). VT/supraventricular tachycardia (SVT) discrimination algorithms were programmed in the VT zones in all patients. No major differences between monitor and therapy zones were observed between the different subpopulations of patients that experienced ICD therapy.

ICD therapy

In the total population of 1075 patients, 227 patients (21 %) received at least one episode of appropriate ICD therapy (149 appropriate ICD shocks (14 %)) during the mean follow-up period of 31 ± 17 months. Inappropriate ICD therapy was seen in 54 patients (5 %), 33 patients (3 %) received an inappropriate ICD shock.
Cumulative incidence of appropriate ICD shock was 7 % at one year, 16 % at three years and 23 % at five years. When corrected for several baseline characteristics by multivariate Cox regression analysis, a secondary indication, ICM, decreased LVEF (≤25 %) and the male gender were independent predictors for appropriate ICD shock, with hazard ratios (HR) of 1.8 (95 % CI: 1.3–2.5; p = 0.001), 1.6 (95 % CI: 1.1–2.3; p = 0.023), 1.6 (95 % CI: 1.2–2.3, p = 0.004) and 2.3 (95 % CI: 1.4–3.8; p = 0.001), respectively (Fig.  1). Gender showed to be the most important risk factor for appropriate ICD shocks, with men having a more than doubled risk for appropriate ICD shock. When we only analysed patients who had an ICD implanted for primary prophylaxis, the incidences of appropriate ICD therapy and appropriate ICD shock were 17 % (109 patients) and 10 % (68 patients), respectively. Ischaemic aetiology and decreased LVEF (<25 %) remained independent risk factors for appropriate ICD shock.
A history of atrial tachyarrhythmia was a predictor for inappropriate ICD shock (HR 4.8, 95 % CI: 2.4–9.7, p < 0.001).

Mortality

Of the 155 patients who died, 50 patients (5 %) died within the first year after implantation. Over the follow-up period of 31 ± 17 months, 104 patients (10 %) died without receiving prior appropriate ICD therapy.
The yearly mortality rate was 5.6 %. The most important risk factors for mortality were: decreased GFR (≤60) (HR 2.3, 95 % CI: 1.6–3.2; p < 0.001), a decreased LVEF (≤25 %) (HR 2.1, 95 % CI:1.5–3.0; p < 0.001) and the male gender (HR 1.9, 95 % CI: 1.3–3.0; p = 0.004). In patients with a primary indication, a prolonged QRS duration (>130 ms) was an additional risk factor for mortality. In patients with ICM, diabetes mellitus type II, older age (>70 years) and decreased LVEF (<25 %) were predictive of mortality, while the use of beta-blockers decreased the risk of mortality. In the non-ischaemic population, decreased GFR (<60) and decreased LVEF (<25 %) were the most important risk factors. At baseline, decreased GFR (<60), non-ischaemic aetiology and a history of AF were predictive of mortality within one year after primary prophylactic ICD implantation.

Discussion

Interpretation of and adherence to guidelines

Baseline characteristics

The demographics of our patient population are comparable with the characteristics of patients enrolled in the large randomised controlled trials [ 3, 6, 8]. Since the indication for ICD therapy is determined on the basis of these large trials, this seems a logical consequence, but it is worth mentioning that patients participating in randomised controlled trials may not be representative of patients typically seen in clinical practice. Only the incidence of a history of atrial tachyarrhythmias was substantially higher in our population since this was an exclusion criteria in most of these trials.
When we divide our population on the basis of aetiology, we observed that patients with ICM were older, predominantly male and had more comorbidities. The differences seen between LVEF in the ischaemic and non-ischaemic group can be explained by the fact that in a substantial number of the patients with NICM the indication for ICD implantation was not solely based on LVEF. A large proportion of patients with NICM have an underlying heart disease other than dilated cardiomyopathy, for whom risk factors such as unexplained syncope or hereditary taint (e.g. ARVC, LQTS) are more decisive when considering ICD implantation. Furthermore, NICM is more frequent in younger individuals and is associated somewhat more often with the female gender [ 21]. In our study we observed a more or less equal distribution between the two genders and a lower age at implant in the non-ischaemic population. The patients with a hereditary heart disease, such as ARVC, often receive an ICD early in life, which can attribute to the latter.

Increase in the number of implantations

As expected we observed an increase (171 %) in the number of implantations over the years 2006–2011. As mentioned before, this increase in (primary indications for) implantations can be explained by the implementation of large randomised controlled trials following the latest guidelines of 2008, which led to a broadening of indications [ 9].
Although we see a steady increase in implantations, we would have expected an even larger increase. On one hand, we could explain the limited increase by lack of adherence to the guidelines in clinical practice, but it can also represent a critical view on evidence and interpretation of these concomitant guidelines. Therefore, knowledge of current guidelines is crucial, not only to identify those eligible for ICD implantation but also those exempt from an indication [ 22, 23].
In the following paragraphs we will reflect on the incidences of inappropriate and appropriate ICD therapy and inappropriate and appropriate ICD shock and mortality. We should be careful about interpreting the absolute numbers since certain variables are time dependent. For example, a larger proportion of patients who received an ICD for primary prophylactic reasons received the ICD in the last couple of years of this study; therefore the follow-up of these patients will be relatively shorter than for the patients who received an ICD for secondary prophylaxis. With the multivariate Cox regression analysis, we corrected for this by taking the time to the (first) event into account.

Appropriate ICD therapy

In the current study, 227 (21 %) patients of our total population received appropriate ICD therapy after a mean follow-up of 31 ± 17 months, which corresponds to an annual appropriate ICD therapy rate of 8.1 %. This number compares well with other registries [ 24, 25]. We found an appropriate ICD shock rate of 14 %. A secondary indication, ischaemic aetiology, a decreased LVEF and a male gender were identified as independent risk factors for appropriate ICD shock. The annual appropriate ICD shock rate of 5.4 % compares well with the findings of an earlier study by Van Welsenes et al., performed in Leiden, the Netherlands, over the years 1996–2008 [ 24]. In their population of 2134 patients with both primary and secondary indication, they found an annual appropriate ICD shock rate of 5.9 %. The appropriate ICD shock rate in our primary prophylactic population was lower with an annual appropriate ICD shock rate of 4 %. In the SCD-HeFT trial (patients with a primary indication and both ischaemic and non-ischaemic heart disease) an annual appropriate ICD shock rate of 5.1 % was seen. Follow-up data from the DEFINITE trial (patients with a primary indication and non-ischaemic heart disease) showed an incidence of 7 % of appropriate ICD shock after 29 months of follow-up (annual appropriate ICD shock rate 2.9 %). The incidence of appropriate ICD shock in our patients implanted for primary prophylaxis and non-ischaemic heart disease was 4 % (annual appropriate ICD shock rate of 1.7 %). The somewhat higher ‘appropriate’ ICD shock rates in both the SCD-HeFT trial as well as the DEFINITE trial could be explained by the ICD settings. In both trials ICDs were programmed with shock therapy only (no ATP) at a single zone of >187 beats/min and >180 beats/min, respectively. After three years of follow-up of the MADIT II study, which consisted of patients with a primary indication and ischaemic heart disease, 20 % of their patients experienced an appropriate ICD shock at least once [ 26]. In our primary prophylactic patients with ischaemic heart disease this rate was found to be 16 % after approximately 2.5 years, which might be explained by the shorter follow-up period and by the unselected nature of our patient population in contrast to the large prospective trials such as MADIT II.
When we only select the patients who received an ICD for primary prophylaxis, a lower incidence of appropriate ICD therapy and ICD shocks was seen in the subpopulation with NICM compared with the ischaemic group. The DEFINITE and SCD-HeFT failed to reach statistical significance for the benefit of ICD implantation for primary prophylaxis in the subset of patients with NICM. Nevertheless, a trend toward reduced mortality was seen [ 3, 6]. It should be noted that the DEFINITE trial demonstrated significant effectiveness of ICD therapy in NICM patients for preventing death from cardiac causes, but not all-cause death. The lack of statistical significance is probably due to low mortality in the NICM population that was also the reason for prematurely stopping the AMIOVIRT and CAT trial [ 27, 28]. Furthermore, a sub-analysis of the SCD-HeFT trial showed a relatively high mortality due to pump failure instead of arrhythmic death in patients with non-ischaemic cardiomyopathy and NYHA functional class III. This implies a relatively small absolute mortality benefit, and therefore a higher number needed to treat (25 versus 18 ICD implantations to prevent one death in two years for NICM patients and ICM patients respectively) [ 29]. Furthermore, if these patients receive appropriate ICD therapy, the question is: ‘how many life years can be gained due to appropriate ICD therapy?’ In patients with end-stage heart failure recurrent VTs can be a sign of progression of the impaired LV function. Although the ICD can successfully treat ventricular tachyarrhythmias, it cannot prevent death from pump failure. It is also important to realise that ICD shock, and certainly ICD therapy, cannot be replaced 1:1 by a prevented sudden cardiac death. Multiple trials have shown that the incidence of ICD shocks is substantially higher than the incidence of sudden cardiac death.
As described in our results the male gender was one of the independent risk factors for appropriate ICD therapy and ICD shock in our population. When we divide the population based on aetiology or indication, patients with ischaemic heart disease and patients with an ICD implanted for secondary reasons received the most appropriate ICD shocks. The male gender was more common in those subpopulations. However, when we corrected for these variables, males still had a higher probability to receive an appropriate ICD shock (HR 2.3, 95 % CI: 1.4–3.8; p = 0.001). The registry of Wilson et al. and the follow-up study of MADIT II also found a higher number of men in their appropriate ICD shock population [ 26, 30]. Moreover, the long-term follow-up study of the MADIT II cohort showed a smaller benefit of ICD implantation in women [ 31]. Differences in repolarisation and in arrhythmogenic substrate are suggested to cause this difference in benefit of ICD implantation [ 3234]. Risk factors for appropriate ICD therapy could therefore be different in the female population. Since some studies also reported a higher complication rate in females, it could be of importance to further elucidate whether this should have consequences for patient selection and risk stratification [ 35].
When we exclude patients who received an ICD for secondary prophylaxis from the analysis, aetiology and decreased LVEF remained independent risk factors for appropriate ICD shock. Only gender was no longer an independent risk factor though the incidence of appropriate ICD shock in females was significantly lower than in males in patients with an ICD implanted for primary prophylaxis. The low number of females and subsequent low number of events in this subpopulation probably caused the analysis to be statistically underpowered. This supposition was supported by the fact that when we analysed the risk factors for appropriate ICD therapy (higher number of events), gender was an independent risk factor for appropriate ICD therapy.

Inappropriate ICD therapy

Inappropriate ICD therapy, and inappropriate ICD shock in particular, leads to an impaired quality of life and psychological and psychiatric effects [ 36, 37]. As a matter of course inappropriate ICD therapy must be prevented to the extent possible. In our population we found an inappropriate ICD shock rate of 3 % after 31 ± 17 months of follow-up. This number is much lower compared with other registries or the landmark trials. In the study by Van Welsenes et al., 14 % of their patients experienced an inappropriate ICD shock [ 24, 38]. The follow-up studies of SCD-HeFT, DEFINITE and MADIT II found inappropriate ICD shock rates of 10 %, 10 % and 11.5 % after 45, 29 and 20 months of follow-up, respectively [ 3, 39, 40]. In the MADIT II study and the registry of Van Welsenes et al. prior atrial fibrillation was predictive of inappropriate ICD shock [ 24, 38, 40]. Our study confirms prior atrial tachyarrhythmia to be a risk factor for inappropriate ICD shock (HR 4.8, 95 % CI: 2.4–9.7, p < 0.001) and also patients with NICM received a higher number of inappropriate ICD shocks (HR 2.1, 95 % CI:1.0–4.1, p < 0.038). In other studies a higher incidence of inappropriate ICD shocks was seen in younger patients and patients with renal dysfunction [ 40, 41]. Regarding the low incidence of inappropriate ICD shock in our population, it is important to emphasise that the number of inappropriate ICD shocks is greatly dependent on device settings. At the UMCU our philosophy is to program the device only for the treatment of fast VT or VF (life-threatening tachyarrhythmias); slow VTs (haemodynamically stable VTs) were treated by VT ablation or pharmacologically. Furthermore, SVT/VT discriminators are enabled in the VT zones of all patients. The more than double inappropriate ICD shock rate in the SCD-HeFT trial, for example, can be related to the fact that all ICDs were programmed with shock therapy at a single zone of >187 beats/min without discrimination between VT and SVT [ 3].

Risk factors for mortality

One prerequisite of ICD implantation is a life expectancy of more than 1 year. Furthermore an ICD will only be feasible if appropriate ICD therapy is delivered before the patient dies. Estimating risk at death is therefore useful and often already an important consideration in clinical practice. In our population, 50 patients died in the first year after implantation, and therefore, in retrospect, were not eligible for ICD treatment. Furthermore, 10 % of the patients died without receiving appropriate ICD therapy. Different factors were associated with death in the different subpopulations. The risk factors we found were comparable with other registries [ 42, 43]. In our study impaired renal function was the most important risk factor for mortality.

Study limitations

In this analysis there was no control population available. Hence, we could not compare the adherence to guidelines in patients with and without ICD implantation. Furthermore, we performed a retrospective study, which entails some disadvantages. All the analysed data were retrieved from electronic medical records. Some information was not recorded in the medical records of all patients, such as NYHA class and LVEF. We noticed that in the 58 cases in which the quantification of LVEF in percentages was lacking, the LVEF was predominantly described as normal or good. This could probably cause bias. To calculate the average LVEF we used 1017 cases in which LVEF was quantified as a percentage. For the multivariate Cox regression analysis, in which we used LVEF <25 % as a variable, we used 41 more cases (1058). In these 41 cases we could be certain, based on the echocardiogram quantification and medical records, that these patients had to have an LVEF >25 %. In this way the probable bias that can occur based on the abovementioned is avoided.
We collected recent data, which led to a relatively short follow-up period. The loss of follow-up was mainly caused by the fact that some patients, mostly elderly, return to their own cardiologist in the referral hospital for routine check-up.

ICD implantation: where do we go from here?

Decreased LVEF has shown to have an inverse relationship with cardiac mortality and approximately 50 % of the cardiac deaths are a result of sudden death. Since no other reliable methods are available for identifying in advance those patients who are more likely to die from sudden death, LVEF is considered a valuable criterion for ICD implantation [ 1, 3, 44].
Due to trial designs, left ventricular dysfunction has developed into a key determinant for the selection of candidates for prophylactic ICD implantation, even though a causal relation between LVEF and the pathophysiology of ventricular arrhythmias is not clearly demonstrated. Furthermore, prior research has shown that the largest proportion of non-survivors of out-of-hospital cardiac arrest had an LVEF of 30% or higher prior to the event, and would not have been eligible for prophylactic ICD implantation [ 45, 46]. The relative risk for ventricular tachyarrhythmias in people with a normal LVEF is much lower and the number to treat very high. In our population the mean LVEF of patients with a secondary indication was 36 ± 15%, comparable with the three large secondary prevention trials which presented a mean LVEF after out-of-hospital cardiac arrest of 32%–45% [ 2, 5, 7]. Note that the patients with an ICD implanted for secondary prophylaxis had a significantly higher number of appropriate ICD shocks. On the other hand, impaired LVEF (<25%) was an independent risk factor for appropriate ICD therapy and ICD shock in the overall population and also in the subgroup of patients implanted for primary prophylaxis.
As we can see in our population, patients with NICM, patients with an ICD for primary prophylactic reasons, and women experienced the lowest number of appropriate ICD shocks, and therefore have the least benefit from ICD implantation. At the moment, ICD implantation in these groups is mainly based on the LVEF. Improvement of selection of eligible patients by electrophysiological parameters has been studied, but these studies often did not find a hazard ratio greater than two. Furthermore, electrophysiological tests are not feasible in all candidates for prophylactic ICD implantation [ 47, 48]. The Alternans Before Cardiac Defibrillator trial (ABCD trial [ 49]) was the first to suggest to combine different electrophysiological parameters to increase the predictive power to guide ICD therapy. The large prospective European multicentre study, EUTrigTreat, embraces this idea. The study enrols patients with standard indications for ICD implantation in a population consisting of both ischaemic and non-ischaemic heart disease. It is an observational trial with the aim to accurately stratify ICD patients, who are at risk for ICD shock and mortality using traditional risk markers as well as genetic markers. It compares the predictive power and temporal changes of various invasive and non-invasive electrophysiological tests such as programmed ventricular stimulation (PVS), T-wave alternans (TWA), beat-to-beat variability of repolarisation quantified as short-term variability (STV), heart rate variability (HRV) and heart rate turbulence (HRT) to determine which patients will be at risk for life-threatening arrhythmias and will benefit from ICD implantation [ 50, 51].

Conclusion

As in all Western European countries we experienced an increase in the number of ICD implantations mainly based on the increase in primary prophylactic implantations. The rate of appropriate ICD shocks in our unselected population corresponds to the large clinical trials, which confirms the benefit of ICD implantation when following current guidelines. Nonetheless a significantly lower rate of appropriate ICD shocks were observed in patients implanted for primary prevention, patients with non-ischaemic cardiomyopathy and women. This implies a lower ICD benefit or at least a higher number needed to treat in these subpopulations. It would be lucrative to improve the risk stratification and patient selection for ICD implantation to accomplish optimal clinical benefit and cost-effectiveness. The prospective European multicentre study, EUTrigTreat, might contribute to this by a more patient-tailored risk stratification based on electrophysiological parameters. In our population few patients (only 3%) received an inappropriate ICD shock; we attribute this to adequate ICD programming and alternative treatment of slow VTs.

Funding

The research leading to the results received funding from the European Community’s Seventh Framework Program FP7/2007-2013 under grant agreement No. HEALTH-F2-2009-241526, EUTrigTreat.

Conflict of interests

None declared.
Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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