Europace Advance Access originally published online on May 2, 2006
Europace 2006 8(6):393-397; doi:10.1093/europace/eul040
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ICD
Lessons learned from neutral ICD trials
1 Guidant Corporation, Park Lane, Culliganlaan 2B, 1831 Diegem, Brussels, Belgium ; 2 Department of Cardiology and Angiology, Hospital of the University of Münster, Münster, Germany
Manuscript submitted 9 August 2005. Accepted after revision 21 March 2006.
* Corresponding author. fax: +32 2 7141565. E-mail address: snisam{at}guidant.com
| Abstract |
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Multiple prospective randomized trials with implantable cardioverter defibrillators (ICDs) over the past decade have convincingly established the efficacy of ICD therapy in reducing all-cause mortality, by significantly reducing sudden cardiac death. Nevertheless, four trials have failed to show improved survival. Analysing these, in comparison with the positive trials, provides important information concerning the type of patients not likely to receive benefit from ICDs: (i) those with relatively low mortality (
18% within 2 years of follow-up; (ii) those whose mechanism of death is predominantly non-arrhythmic; (iii) patients early (within 6 weeks) after infarction.
Key Words: Implantable cardioverter defibrillator, Sudden death, ICD trials
| Introduction |
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Following the introduction of the implantable cardioverter defibrillator (ICD) into clinical practice in 1980 by Mirowski et al.,1
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| Four neutral (non-positive) studies |
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The study populations, study designs, and the results of the positive ICD studies have been previously reported. Therefore, we will comment only on those aspects of these positive trials which relate to the comparison with the four neutral (non-positive) trials, which is our primary focus. The four trials which concluded with neutral, neither positive nor negative, results were Coronary Artery Bypass Graft (CABG)-Patch trial, Cardiomyopathy Trial (CAT), Amiodarone versus Implantable Cardioverter Defibrillator Randomized Trial (AMIOVIRT), and Defibrillator in Acute Myocardial Infarction Trial (DINAMIT).10
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| Comparing the patients in the positive and neutral ICD trials |
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The patients included in all these ICD studies presented with quite different aetiologies. Therefore, it is not very helpful to compare the patient profiles in the four neutral studies (Table 2) with the ones in the positive studies. Nevertheless, a few points are worth noting. Two of the neutral RCTs, CAT and AMIOVIRT, studied exclusively non-ischaemic patients, whereas the patients in nearly all the other trials enrolled either exclusively patients with previous myocardial infarction or
80% of the enrolled patients had an ischaemic aetiology. The major exception was DEFINITE, which like CAT and AMIOVIRT enrolled patients with NICM. In the other two neutral studies, CABG-Patch and DINAMIT, the underlying substrate may be considered as unstable: in CABG-Patch, patients enrolled required CABG surgery to correct their documented ischaemia; this should have led to improvement in regional ventricular function. In DINAMIT, patients were enrolled at a mean of 18 days post-MI,16| Comparing outcomes between the positive and neutral ICD trials |
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All trials had all-cause mortality as the primary endpoint. This identical endpoint allows for a direct comparison of mortality outcomes observed in the four neutral ICD trials, on which we will focus. The first important observation is that the control group mortality at 2 years in each of these four RCTs was relatively low and far lower than that in the positive ICD trials. For example, the patients in the control group of AVID, CASH, CIDS, Dutch,3
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As the ICD is designed to combat an arrhythmic mechanism of death, it can only be effective in the presence of a sufficiently high incidence of sudden death. Such a patient population was actually included in DINAMIT, i.e. patients with a low ejection fraction (35% or less) and depressed heart rate variability or 24-h mean RR-intervals of 750 ms or less. These patients were considered to have a substantial risk of sudden death, which was indeed the case as 34% of patients died from an arrhythmic cause. Nevertheless, this trial did not come up with a positive result, which suggests reasons other than an insufficient arrhythmic mortality. The mode of death undoubtedly plays a major role. This is apparent from Table 2 (right-hand columns), where the mode of death, i.e. the percentage of deaths adjudicated to be sudden arrhythmic is presented. Comparing the mode of death in the neutral studies with that in the positive ICD studies, there was a clear trend for a higher percentage of sudden arrhythmic deaths in the positive ICD trials (Figure 3). Specifically, the percentage of sudden deaths varied from zero (CAT) to 34% (DINAMIT) in the neutral trials and from 35% (MADIT) to 55% (MUSTT) in the positive ICD trials. The exception to this trend among the positive trials was the DEFINITE study, where sudden arrhythmic deaths accounted for 25% of all deaths. However, as indicated earlier, the strength of the treatment effect of the ICD, which lowered sudden deaths by four-fifths, permitted this trial also to show a strong trend towards reducing all-cause mortality. [Strictly speaking, DEFINITE showed neutral results, as the ICD benefit (hazard ratio 0.65, 95% confidence limits 0.401.06, P=0.08) did not reach statistical significance. However, owing to this strong trend towards a positive result, reinforced by the recent meta-analysis by Desai et al. showing ICD benefit in patients with NICM,22
| Discussion |
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The main findings derived from comparing the populations and results of the four neutral ICD trials with those of the large number of positive trials is that (i) there were definitely differences in the patient cohorts, (ii) the level of mortality risk was generally much higher in the positive ICD trials than in the neutral trials, (iii) the positive ICD trials seemed to have patients whose risk of arrhythmic death was relatively higher than in the neutral ICD trials, and (iv) ICD therapy did not improve survival in patients enrolled early after infarction (within 6 weeks). In retrospect, these findings should not surprise us; an intervention stands little chance of improving outcome if the risk of events (in the case of ICD trials, deaths from all causes) is not high enough. The reason for the generally higher overall mortality in the positive trials cannot be explained by inadequate medical therapy, as four of the largest and most recent of the positive trials (MADIT II, COMPANION, DEFINITE, and SCD-Heft) maintained excellent compliance with beta-blockers, ACE-Is, and other appropriate medications.13
Does this analysis help understand the role and limitations of ICD therapy for patients with NICM? CAT and AMIOVIRT were two of the neutral trials and the main lesson from them is that the mortality risk for patients meeting the inclusion criteria was too low for the ICD to be able to have an impact. The only fault in the design of these two trials was not having foreseen that the evolution in medical management of such patients would turn out to vastly improve their prognosis, vis-à-vis the outcomes that had been reported for such patients in earlier years. It should be added that CAT was in fact only a pilot trial with just 100 patients (main trial was hypothesized to require 1348 patients11), and the low observed mortality precluded expanding it into a full trial. SCD-Heft, with nearly half NICM patients, did show a positive outcome for ICDs, probably aided by the large size of the study and the very long follow-up. As a matter of fact, the survival curves only started diverging at 18 months, so a study terminating earlier, and/or with fewer patients may not have achieved a positive result.
It was also clear that in patients with active ischaemia and/or those enrolled very shortly following infarction, ICD therapy was not able to reduce all-cause mortality, despite lowering the arrhythmic mortality in both studies. In patients such as in CABG-Patch, already scheduled to undergo revascularization, the ICD may eventually be of help (as demonstrated clearly in MADIT, MUSTT, and MADIT II), i.e. in those patients whosubsequent to their revascularizationcontinue to manifest the risk stratifiers used in these studies. A reasonable strategy in such patients might be to re-evaluate them, say, 68 weeks after revascularization and decide then if there is a need for ICD implantation. In DINAMIT, the patients' slight improvement of LVEF from 0.28 at baseline to 0.30 by 68 weeks post-infarction may have been one of the explanations for their lower overall risk than patients with LVEF
0.25, as in MADIT, MUSTT, MADIT II, and SCD-Heft. We believe that waiting 46 weeks post-MI to re-evaluate the patients, as in MADIT, MADIT II, and MUSTT, allows them to achieve a more stable physiological and electrophysiological situation, which permits a more meaningful evaluation of their risk and need for therapy (in MADIT, MADIT II, and MUSTT, respectively, zero, and 17% of patients were enrolled <1 month of MI). This same observation was certainly taken into account by the Centers for Medicaid and Medicare Studies, in excluding ICD insurance coverage to patients who ... had an acute MI within the past 40 days.20
| Conclusions and clinical implications |
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It is important to emphasize that also these non-positive ICD trials have contributed to the overall knowledge base, which now helps select patients for whom ICDs provide substantial benefit: cohorts with relatively high risk of all-cause mortality and, in particular, with high risk of arrhythmic mortality. At the same time, we have to accept the lessons learned from randomized controlled trials such as CABG-Patch and DINAMIT that with regard to eventual ICD therapy, we might have to wait at least 6 weeks after a patient's myocardial infarction before evaluating such a patient for ICD implantation. A final implication of the overview of all the completed ICD trials is that it will be very difficult to visualize other populations for future ICD trials. It is not that all the questions have been answered, but repeating trials in high-risk populations will be ethically difficult, and in lower-risk populations (e.g. long QT syndrome), would require such large sample size and long follow-up that they might be practically impossible.
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