Editorials |
From the Veterans Affairs Palo Alto Health Care System (P.H.), Palo Alto, Calif; and the Stanford University School of Medicine (P.H., V.T.), Stanford, Calif.
Correspondence to Paul Heidenreich, MD, MS, 111C Cardiology, VA Palo Alto Health Care System, 3801 Miranda Ave, Palo Alto, CA 94304. E-mail heiden{at}stanford.edu
Key Words: editorials cost-benefit analysis defibrillation heart failure aged defibrillators implantable heart failure
Implantable cardioverter-defibrillators (ICDs) are one of the few interventions where we can be reasonably confident that a patient did or did not benefit from the treatment. If one is to benefit from an ICD, then the person must survive long enough to have an arrhythmic event and receive therapy from the device. Thus, the patients who benefit the most are those with a high rate of arrhythmic death and a low rate of nonarrhythmic death. Indeed the enrollment criteria for clinical trials of ICDs were designed to optimize these 2 rates. Accordingly, the patients enrolled in the primary prevention ICD trials were much younger and had less comorbidity than the community heart failure population.1
Article see p 16
On the basis of trial results, we now have guidelines for ICDs that limit them to patients with an ejection fraction below 35% if symptomatic (New York Heart Association Class II or III) or <30% if asymptomatic (New York Heart Association Class I) and expected survival of at least one year.2 However, the clinician is frequently confronted with a patient who meets the primary prevention ICD criteria yet has other characteristics (advanced age or multiple comorbidities) that create legitimate concern that the patient will not benefit from the device. Payers, policy makers, and society warn that even if there is a benefit in these patients, it may be too small to justify the cost. In other words, they question whether an ICD has value in the elderly and those with multiple comorbidities. Although no threshold for value has been widely accepted, many consider a cost per life year (or quality-adjusted life year) gained below $50 000 to $100 000 to be cost-effective. Past economic analyses of the populations enrolled in the ICD clinical trials found the devices to be of reasonable value ($34 000 to $72 000 per quality-adjusted life year gained).3
What about the patients in the community not represented in these trials? The question of ICD value in older patients and those with comorbidities was addressed by Chan et al4 in this issue. Although it would have been ideal to enroll large numbers of the very elderly and those with multiple comorbidities in clinical trials, that has not occurred and is unlikely to happen in the foreseeable future. Thus, Chan et al relied on a registry of patients who were candidates for primary prevention with an ICD. Although these patients had to provide informed consent which may have limited the population to a somewhat healthier cohort, the investigators were able to evaluate the association of ICD placement and survival for a large number of elderly patients and those with comorbidities. They found that as age increased the absolute benefit of an ICD in terms of life-years gained increased with their top age category being 75 years or higher. Thus, implanting an ICD in those at least 75 years of age was a better value than implanting one in those younger than 65. As comorbidities increased the value of implanting an ICD decreased but was still acceptable if we assume society is willing to pay at least $50 000 to gain 1 year of life. The findings by Chan et al confirm a MADIT-II substudy of the elderly where the hazard ratio for mortality with an ICD (0.56) for those 75 years of age and higher was slightly better than the hazard ratio (0.63) for those less than 75 years.5
If patients in their upper 70s are good candidates for ICDs, where is the limit? Is anyone too old for an ICD? The article by Chan et al enrolled few patients 80 years and older to make precise estimates. However, we can use prior studies and models of outcome to get at the answer. A prior model of ICD outcome by Sanders et al3 based on clinical trials was used to determine how the different rates of arrhythmic and nonarrhythmic death impact the value (cost-effectiveness) of an ICD.6 This is shown graphically in the Figure.
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But how can we predict who will and will not have an arrhythmic death? A recent study examined the relationship between arrhythmic death rate and age.7 Using an analysis of clinical trials of patients with heart failure or myocardial infarction Krahn found that arrhythmic and nonarrhythmic death rate both increase in absolute terms as one ages, with nonarrhythmic death rates increasing faster (Table). Using the Figure, we can estimate cost-effectiveness for the different age groups. First, we see that these estimates of value show a similar pattern to those by Chan et al. Both models agree that ICDs for patients in their 70s appears to be a reasonable value, though we project that beyond 80 years of age that is less likely to be the case. Most of these patients in the >80 years group from the Krahn analysis (Table) were in their early 80s, and the value of an ICD in those 85 years and higher is likely to be much smaller.
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The purpose of this exercise was to show the importance of both total mortality and the ratio of arrhythmic to nonarrhythmic death in determining the value of an ICD. The estimates of cost-effectiveness for an individual patient will depend on many factors not considered here including preference for length and quality of life which has been show to be highly variable and often changes markedly following an acute episode of heart failure.9
What can we conclude from this? First, it is not simple to predict the relative rates of arrhythmic and nonarrhythmic causes of death with currently available data. Perhaps future markers will help. Second, as patients with heart failure age the increase in total mortality is somewhat offset by a slower increase in arrhythmic death rate making the cost-effectiveness of ICDs relatively stable until patients are into their mid 80s. Is there an age limit beyond which there is poor value from an ICD? Yes, but we will need additional well-designed outcome studies like Chans to determine what age this might be and to fill in the many other knowledge gaps not addressed by clinical trials.
| Acknowledgments |
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Dr. Heidenreich has the following potential conflict of interest: Consultant to the ALTITUDE Clinical Science Initiative, Sponsored by Boston Scientific, less than $5000.
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| References |
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2. Epstein AE, DiMarco JP, Ellenbogen KA, Estes NA III, Freedman RA, Gettes LS, Gillinov AM, Gregoratos G, Hammill SC, Hayes DL, Hlatky MA, Newby LK, Page RL, Schoenfeld MH, Silka MJ, Stevenson LW, Sweeney MO, Smith SC Jr, Jacobs AK, Adams CD, Anderson JL, Buller CE, Creager MA, Ettinger SM, Faxon DP, Halperin JL, Hiratzka LF, Hunt SA, Krumholz HM, Kushner FG, Lytle BW, Nishimura RA, Ornato JP, Page RL, Riegel B, Tarkington LG, Yancy CW. ACC/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities. Circulation. 2008; 117: e350–e408.
3. Sanders GD, Hlatky MA, Owens DK. Cost-effectiveness of implantable cardioverter-defibrillators. N Engl J Med. 2005; 353: 1471–1480.
4. Chan PS, Nallamothu BK, Spertus JA, Masoudi FA, Bartone C, Keriakes DJ, Chow T. Impact of age and medical co-morbidity on the effectiveness of implantable cardioverter-defibrillators for primary prevention. Circ Cardiovasc Qual Outcomes. 2009; 2: 16–24.
5. Owens DK, Sanders GD, Heidenreich PA, McDonald KM, Hlatky MA. Effect of risk stratification on cost-effectiveness of the implantable cardioverter defibrillator. Am Heart J. 2002; 144: 440–448.[CrossRef][Medline]
6. Huang DT, Sesselberg HW, McNitt S, Noyes K, Andrews ML, Hall WJ, Dick A Daubert JP, Zareba W, Moss AJ; MADIT-II Research Group. Improved survival associated with prophylactic implantable defibrillators in elderly patients with prior myocardial infarction and depressed ventricular function: a MADIT-II substudy. J Cardiovasc Electrophysiol. 2007; 18: 833–838.[CrossRef][Medline]
7. Krahn AD, Connolly SJ, Roberts RS, Gent M; ATMA Investigators. Diminishing proportional risk of sudden death with advancing age: implications for prevention of sudden death. Am Heart J. 2004; 147: 837–840.[CrossRef][Medline]
8. Mozaffarian D, Anker SD, Anand I, Linker DT, Sullivan MD, Cleland JG, Carson PE, Maggioni AP, Mann DL, Pitt B, Poole-Wilson PA, Levy WC. Prediction of mode of death in heart failure: the Seattle Heart Failure Model. Circulation. 2007; 116: 392–398.
9. Stevenson LW, Hellkamp AS, Leier CV, Sopko G, Koelling T, Warnica JW, Abraham WT, Kasper EK, Rogers JG, Califf RM, Schramm EE, O'Connor CM. Changing preferences for survival after hospitalization with advanced heart failure. J Am Coll Cardiol. 2008; 52: 1702–1708.
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Circ Cardiovasc Qual Outcomes 2009 2: 16-24.
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