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J Am Coll Cardiol, 2007; 49:1427-1433, doi:10.1016/j.jacc.2006.11.042 (Published online 20 March 2007).
© 2007 by the American College of Cardiology Foundation
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CLINICAL RESEARCH: CORONARY ARTERY DISEASE

Inverse Relationship of Blood Pressure Levels to Sudden Cardiac Mortality and Benefit of the Implantable Cardioverter-Defibrillator in Patients With Ischemic Left Ventricular Dysfunction

Ilan Goldenberg, MD*,*, Arthur J. Moss, MD*, Scott McNitt, MS*, Wojciech Zareba, MD, PhD*, W. Jackson Hall, PhD{dagger}, Mark L. Andrews, BBS* for the MADIT-II Investigators

* Cardiology Unit of the Department of Medicine, University of Rochester Medical Center, Rochester, New York
{dagger} Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York.

Manuscript received September 21, 2006; revised manuscript received October 20, 2006, accepted November 1, 2006.

* Reprint requests and correspondence: Dr. Ilan Goldenberg, Heart Research Follow-Up Program, Box 653, University of Rochester Medical Center, Rochester, New York 14642. (Email: Ilan.Goldenberg{at}heart.rochester.edu).


    Abstract
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 Abstract
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 Results
 Discussion
 Conclusions
 References
 
Objectives: This study was designed to evaluate the relationship among blood pressure (BP) levels, risk of sudden cardiac death (SCD), and benefit of the implantable cardioverter-defibrillator (ICD) in patients with ischemic left ventricular (LV) dysfunction.

Background: Low BP has been shown to be associated with increased mortality in patients with LV dysfunction and heart failure. We hypothesized that increasing BP levels are associated with a reduction in the risk of SCD in this population, thereby limiting ICD efficacy in a lower-risk subset.

Methods: The independent contribution of systolic blood pressure (SBP) and diastolic blood pressure (DBP) to outcome was analyzed in 1,231 patients enrolled in the prospective MADIT-II (Multicenter Automatic Defibrillator Implantation Trial II).

Results: Multivariate analysis showed that in the conventional therapy arm of the trial, 10-mm Hg increments in systolic BP were independently associated with a respective 14% (p = 0.01) and 16% (p = 0.04) reduction in the risk of cardiac mortality and SCD; similar trends were shown for DBP. Defibrillator therapy provided the least survival benefit to patients in the lower-risk, upper SBP (>130 mm Hg) and DBP (≥80 mm Hg) quartiles (hazard ratio 1.04 [p = 0.89] and 1.05 [p = 0.88], respectively), whereas a respective 39% and 38% (p = 0.002) reduction in the risk of death with ICD therapy was observed among patients with lower BP values.

Conclusions: In patients with ischemic LV dysfunction, SBP and DBP levels show an inverse correlation with sudden cardiac mortality. These noninvasive hemodynamic parameters may be useful for identifying lower-risk patients, in whom the benefit of primary defibrillator implantation is more limited.

Abbreviations and Acronyms
  ACE = angiotensin-converting enzyme
  DBP = diastolic blood pressure
  EF = ejection fraction
  ICD = implantable cardioverter-defibrillator
  LV = left ventricular
  MADIT-II = Multicenter Automatic Defibrillator Implantation Trial II
  MI = myocardial infarction
  NYHA = New York Heart Association
  SBP = systolic blood pressure
  SCD = sudden cardiac death


Formula Patients with a low ejection fraction (EF) and heart failure have been shown to be at a high risk for arrhythmic mortality and to obtain a survival benefit with the implantable cardioverter-defibrillator (ICD) (1–4). However, only about one-third of the patients in whom an ICD is implanted for the primary prevention of sudden cardiac death (SCD) require device therapy for ventricular tachyarrhythmias during long-term follow-up (5). Thus, the benefit of the ICD may be more limited in a lower-risk subset of low EF patients.

Previous studies that have evaluated patients with left ventricular (LV) dysfunction and heart failure have shown an inverse correlation between blood pressure (BP) levels and the risk of all-cause mortality (6–13). However, the relationship between BP levels and the risk of arrhythmic mortality in this population has not been assessed. We hypothesized that in patients with ischemic LV dysfunction enrolled in the prospective MADIT-II (Multicenter Automatic Defibrillator Implantation Trial II) study, BP levels would show a similar inverse correlation with SCD risk, and that this relationship may provide a useful risk stratification parameter for primary ICD implantation.


    Methods
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 Abstract
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 Discussion
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 References
 
MADIT-II.   The design and results of MADIT-II have been reported elsewhere (4). Briefly, 1,232 patients with documented previous myocardial infarction (MI), EF ≤30%, and New York Heart Association (NYHA) functional class I to III were randomized to receive a prophylactic ICD or conventional medical therapy in a 3:2 ratio and were followed up over a mean period of 20 months. Screened patients were excluded from enrollment if they had class IV congestive heart failure, coronary revascularization within the previous 3 months, elapsed interval from most recent MI of <1 month, or advanced medical comorbidity. Baseline BP values were recorded during enrollment, and were not available for 1 patient. The remaining 1,231 patients were included in the present study, of whom 742 patients were allocated to the ICD arm and 489 patients were allocated to the conventional therapy arm of the trial.

Definitions and outcome.   The BP indexes evaluated in the current study included systolic blood pressure (SBP) and diastolic blood pressure (DBP). Blood pressure values were analyzed by: 1) dividing BP indexes into approximate quartiles (SBP: <100, 100 to 119, 120 to 130, and ≥130 mm Hg; DBP: ≤60, 61 to 69, 70 to 79, and ≥80 mm Hg; with somewhat unequal numbers per quartile because of a high concentration of subjects at the decile values) and 2) including BP indexes as continuous measures in the multivariate models. The effect of BP on the end points of all-cause mortality, cardiac death, and SCD was examined in the conventional therapy arm, and the efficacy of ICD therapy in reducing the risk of death was analyzed within the prespecified BP quartiles. A modified Hinkle-Thaler system was used to classify deaths as previously described (14).

Statistical analysis.   Baseline characteristics by BP quartiles were compared and contrasted using the chi-square test. Kaplan-Meier estimates, stratified by BP quartiles, for all-cause mortality in each treatment group were determined and statistically evaluated with the log-rank test. The Cox proportional hazards regression model was used to evaluate the independent contribution of baseline clinical factors to the development of end points. The baseline variables that had differences among the 4 SBP and DBP quartile groups, using a p value <0.10, were evaluated in the proportional hazards stepwise selection model. Covariates with a p value <0.05 in the proportional hazards model were included in the final model. In an alternative analysis, gender, NYHA functional class, QRS duration >0.12 s, heart rate ≥80 beats/min, and medical therapy with beta-blockers and angiotensin-converting enzyme (ACE) inhibitors were forced into the multivariate models as additional covariates. The effect of BP on the end points of all-cause mortality, cardiac death, and SCD in the conventional therapy arm, and ICD efficacy by BP subgroups was examined in a total population model by including a treatment x BP interaction term. All p values were 2-sided, and a value of p < 0.05 was considered significant. Analyses were performed using SAS software (version 9.13, SAS Institute Inc., Cary, North Carolina).


    Results
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 Discussion
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Baseline BP indexes were normally distributed among study patients and were similar in the ICD and conventional therapy groups. The mean (± SD) SBP and DBP among study patients was 122 ± 18 mm Hg and 71 ± 11 mm Hg, respectively.

Baseline laboratory and clinical characteristics of study patients by SBP quartile categories are shown in Table 1. The mean DBP correlated with SBP quartiles. The proportion of patients with an older age, a history of hypertension, and diabetes mellitus increased with increasing SBP quartiles, whereas the proportion of patients with a lower EF and higher baseline blood urea creatinine levels was inversely correlated with SBP. Medical therapies with ACE inhibitors, beta-blockers, and lipid-lowering agents were administered to a similar proportion of patients among SBP quartiles, whereas therapy with digitalis was administered to a higher proportion of patients with low SBP. Baseline clinical characteristics and medical therapies were similarly distributed among DBP quartiles (not shown).


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Table 1 Baseline Characteristics of Study Patients by SBP Quartiles
 
Blood pressure indexes and mortality in the conventional therapy group.   Baseline variables that showed differences among the 4 SBP and DBP quartiles and were significantly associated with each outcome measure included age >65 years, EF <25%, and blood urea nitrogen >25 mg/dl (Table 2). The effect of SBP and DBP on outcome in the conventional therapy group, after adjustment for these baselines covariates, is presented in Table 2.


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Table 2 Multivariate Analysis: Predictors of Outcome in the Baseline Model and Effect of Blood Pressure Levels on Outcome in the Conventional Therapy Group
 
The risk of cardiac and SCD declined by 14% and 16%, respectively, for every 10-mm Hg increment in SBP, and by 18% and 20%, respectively, for every 10-mm Hg increment in DBP. Quartile analysis showed a significant reduction in the risk of all-cause mortality and cardiac death with increasing BP quartiles, whereas the decline in the risk of SCD was apparent mainly among patients with upper-quartile SBP (59% reduction) and DBP (67% reduction) values (Table 2). Consistently, the relationship between SBP and DBP and mortality (Figs. 1A and 1B) showed a linear reduction in the rates of all-cause and cardiac mortality with increasing SBP (>2-fold decrease) and DBP quartiles (>3-fold decrease), whereas the decline in the rate of SCD with increasing SBP and DBP quartiles was nonlinear, and was prominent mainly among patients in the upper BP quartiles.


Figure 1
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Figure 1 Mortality Rates by Systolic and Diastolic Blood Pressure

All-cause (solid diamonds, solid lines), cardiac (solid squares, dashed lines) and sudden cardiac (solid circles, dotted lines) mortality rates per 100 person-years by (A) systolic blood pressure quartiles and (B) diastolic blood pressure quartiles.

 
Relationship of BP indexes to ICD benefit.   In multivariate analysis, defibrillator therapy was associated with an overall significant 32% reduction in the risk of death in the total study population (Table 2). When ICD efficacy was analyzed within BP subgroups (Table 3), no survival benefit was shown among patients with SBP >130 mm Hg and DBP ≥80 mm Hg (hazard ratio [HR] 1.04 [p = 0.89] and 1.05 [p = 0.88], respectively), whereas among patients with SBP ≤130 mm Hg and DBP <80 mm Hg, defibrillator therapy was associated with a respective 39% (p = 0.002) and 38% (p = 0.002) reduction in mortality risk. The benefit of the ICD was consistent within the individual lower 3 SBP and DBP quartiles (Table 3), whereas no ICD benefit was consistently shown when narrower ranges within the SBP >130 mm Hg quartile (131 to 140 mm Hg: HR 1.05 [p = 0.87]; >140 mm Hg: HR 1.02 [p = 0.69]) and the DBP ≥80 mm Hg quartile (80 to 85 mm Hg: HR 1.18 [p = 0.64]; >85 mm Hg: HR 0.97 [p = 0.94]) were analyzed. Accordingly, Kaplan-Meier survival curves in the 2 treatment groups among patients with SBP <130 mm Hg and DBP ≤80 mm Hg (Figs. 2A and 3A, respectively) showed a significantly lower 2-year mortality rate in the ICD group (17%) compared with the conventional therapy group (25%), whereas the 2-year probability of death was similar in the ICD and conventional therapy groups among patients with SBP >130 mm Hg (13% and 12%, respectively) (Fig. 2B) and DBP ≥80 mm Hg (11% and 12%, respectively) (Fig. 3B).


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Table 3 Survival Benefit of ICD by SBP and DBP Quartiles*
 

Figure 2
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Figure 2 ICD Benefit by SBP

Kaplan-Meier estimates of probability of all-cause mortality by treatment group among patients with (A) systolic blood pressure (SBP) quartiles 1 to 3 and (B) SBP quartile 4. ICD = implantable cardioverter-defibrillator.

 

Figure 3
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Figure 3 ICD Benefit by DBP

Kaplan-Meier estimates of probability of all-cause mortality by treatment group among patients with (A) diastolic blood pressure (DBP) quartiles 1 to 3 and (B) DBP quartile 4. ICD = implantable cardioverter-defibrillator.

 
In a further exploratory analysis, ICD efficacy among patients in whom both SBP and DBP levels were elevated at the upper quartile (n = 172) was compared with the benefit of device therapy among all other study patients (in whom either SBP or DBP levels [or both] were below the respective upper quartile value [n = 1,059]). In the former subgroup of lower-risk patients, no ICD benefit was observed (HR 2.43 [95% confidence interval 0.70 to 8.48]; p = 0.16), whereas in the latter subgroup defibrillator therapy was associated with a significant survival benefit (HR 0.62 [95% confidence interval 0.46 to 0.82]; p = 0.001). Notably, a significant ICD x BP interaction was shown for the comparison of ICD benefit between the 2 subgroups (p = 0.03), suggesting a significant reduction in ICD efficacy among patients who maintained elevated levels of both SBP and DBP.


    Discussion
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
The main finding of this study is that patients with ischemic LV dysfunction who maintain elevated SBP and DBP have a lower risk of SCD, and that these noninvasive hemodynamic indexes may be useful for identifying higher-risk and lower-risk subgroups within the low EF population when primary ICD implantation is considered.

Abundant data from major trials have consistently shown the detrimental cardiovascular effects of hypertension and the established benefit of treating hypertension in reducing the risk of heart failure and cardiovascular mortality (15–17). These studies, however, have focused on younger hypertensive patients, mostly with preserved cardiac function. Our finding that high, not low, BP is predictive of favorable survival in patients with reduced LV function (≤30%) and a compensated heart failure functional class is consistent with previous published data in this population (6–13). However, in the current study we extended these observations, and have shown that increased systolic and diastolic pressures are also associated with a reduction in the risk of sudden cardiac mortality.

Low EF had been identified as a risk factor for subsequent cardiac mortality and SCD (18), and has become the major criterion for primary prevention with ICD therapy (19). However, data from MADIT-II have shown that only approximately one-third of patients received appropriate ICD therapy for ventricular tachycardia or fibrillation throughout the course of the trial (5). Therefore, it is important to identify low-risk patients within the low EF group. To date, suggested risk factors, including QRS duration or advanced NYHA functional class, were not shown to stratify patients with LV dysfunction into high-risk and low-risk groups (4). Furthermore, inducibility with electrophysiological testing was not shown to be clinically useful in identifying patients who should receive primary ICD implantation for the prevention of SCD (20). In the current study we have shown that noninvasive BP indexes identify patients with a lower risk of SCD, and therefore may be useful in risk stratification for primary ICD therapy in patients with advanced LV dysfunction. The decline in the rate of SCD with increasing BP values was nonlinear, and was prominent mainly among patients in the upper SBP and DBP quartiles. Accordingly, these lower-risk subgroups received the least benefit from primary ICD implantation. Moreover, a significant interaction effect was shown between ICD therapy and the BP category comprising patients who maintained elevated levels of both SBP and DBP, suggesting that the benefit of the ICD is significantly attenuated in this subset of patients.

Notably, the relationship between ICD efficacy and BP persisted after multivariate adjustment for EF, NYHA functional class, heart rate, or concurrent therapies with BP-lowering medications. Therefore, our findings regarding the effect of BP on outcome seem to be independent of other markers of health in this population. The ability to maintain elevated systolic and diastolic pressures despite a low EF may indicate better myocardial reserve, which possibly may be associated with improved survival and reduced risk of cardiac and SCD. It is also possible that in patients with LV dysfunction who have lower BP levels, there is maladaptive activation of catecholamine and other neurohormonal counter-regulatory systems that potentially contribute to increased risk for arrhythmias and death.

Study limitations.   Several limitations of this study should be noted. No conclusions on the benefit of antihypertensive treatment or current medical therapy recommendation for patients with heart failure can be drawn on the basis of this study. Beta-blockers and ACE inhibitors have been shown to prolong life in this high-risk population, and should be administered to every patient with advanced LV dysfunction without contraindications.

The power of this subanalysis of MADIT-II to detect a statistically significant ICD survival benefit within individual BP quartiles was limited because of a relatively small sample size. However, within each of the lower 3 SBP and DBP quartiles we observed similar trends for ICD efficacy, whereas among the upper SBP and DBP quartiles no ICD benefit was shown after multivariate adjustment. Furthermore, despite a relatively small sample size, we observed a marginally significant treatment x BP interaction when the upper SBP and DBP quartiles were compared with the respective lower 3 BP quartiles, and a statistically significant reduction in ICD efficacy among patients who maintained elevated levels of both SBP and DBP.

Beta-blockers were administered to approximately two-thirds of study patients. Therefore, the current results may not represent the effect of BP on outcome in patients who are receiving full medical therapy for heart failure. However, our findings regarding ICD efficacy within the BP subgroups persisted after multivariate adjustment for medical therapies, and no interaction was shown between the effects of beta-blockers or ACE inhibitors on outcome and ICD efficacy, suggesting that the findings regarding the relationship among BP, risk of SCD, and ICD benefit are independent of adjunctive medical therapies.

The present study results are only applicable to the MADIT-II study population, which is composed of patients with coronary heart disease and LV dysfunction. Therefore, data on the relationship between BP and ICD benefit in patients with nonischemic cardiomyopathy cannot be derived from the current analysis. In addition, follow-up data on BP levels were not consistently collected in MADIT-II, precluding a comprehensive analysis of the effect of time-dependent changes in BP on outcome.


    Conclusions
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
We have shown that patients with ischemic LV dysfunction who maintain elevated SBP and DBP have a lower risk of SCD, and may therefore derive less benefit from primary ICD implantation. Validation of these findings in subanalyses of major randomized ICD trials and the ongoing MADIT-II ICD Registry would provide important prognostic data in this high-risk population. At present, our findings suggest that follow-up of BP levels should be an important component of risk assessment in patients considered for primary ICD implantation.


    Footnotes
 
The MADIT-II study was supported by a research grant from Guidant Corp., St. Paul, Minnesota, to the University of Rochester School of Medicine and Dentistry.


    References
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1. Moss AJ, Hall WJ, Cannom DS, et al. Improved survival with an implanted defibrillator in patients with coronary disease at high risk for ventricular arrhythmia N Engl J Med 1996;335:1933-1940.[Abstract/Free Full Text]

2. The Antiarrhythmics Versus Implantable Defibrillators (AVID) Investigators A comparison of antiarrhythmic-drug therapy with implantable defibrillators in patients resuscitated from near-fatal ventricular arrhythmias N Engl J Med 1997;337:1576-1584.[Abstract/Free Full Text]

3. Buxton AE, Lee KL, Fisher JD, Josephson ME, Prystowsky EN, Hafley G, the Multicenter Unsustained Tachycardia Trial Investigators A randomized study of the prevention of sudden death in patients with coronary artery disease N Engl J Med 1999;341:1882-1890.[Abstract/Free Full Text]

4. Moss AJ, Zareba W, Hall WJ, et al. Multicenter Automatic Defibrillator Implantation Trial II Investigators Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction N Engl J Med 2002;346:877-883.[Abstract/Free Full Text]

5. Singh JP, Hall WJ, McNitt S, et al. Multicenter Automatic Defibrillator Implantation Trial II Investigators Factors influencing appropriate firing of the implanted defibrillator for ventricular tachycardia/fibrillation: findings from the Multicenter Automatic Defibrillator Implantation Trial II (MADIT-II) J Am Coll Cardiol 2005;46:1712-1720.[Abstract/Free Full Text]

6. Aaronson KD, Schwartz JS, Chen TM, Wong KL, Goin JE, Mancini DM. Development and prospective validation of a clinical index to predict survival in ambulatory patients referred for cardiac transplant evaluation Circulation 1997;95:2660-2667.[Abstract/Free Full Text]

7. Rouleau JL, Roecker EB, Tendera M, et al. Influence of pretreatment systolic blood pressure on the effect of carvedilol in patients with severe chronic heart failure: the Carvedilol Prospective Randomized Cumulative Survival (COPERNICUS) study J Am Coll Cardiol 2004;43:1423-1429.[Abstract/Free Full Text]

8. Pocock SJ, Wang D, Pfeffer MA, et al. Predictors of mortality and morbidity in patients with chronic heart failure Eur Heart J 2006;27:65-75.[Abstract/Free Full Text]

9. Okumiya K, Matsubayashi K, Wada T, et al. A U-shaped association between home systolic blood pressure and four-year mortality in community-dwelling older men J Am Geriatr Soc 1999;47:1415-1421.[Web of Science][Medline]

10. Brophy JM, Dagenais GR, McSherry F, Williford W, Yusuf S. A multivariate model for predicting mortality in patients with heart failure and systolic dysfunction Am J Med 2004;116:300-304.[CrossRef][Web of Science][Medline]

11. Campana C, Gavazzi A, Berzuini C, et al. Predictors of prognosis in patients awaiting heart transplantation J Heart Lung Transplant 1993;12:756-765.[Web of Science][Medline]

12. Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model JAMA 2003;290:2581-2587.[Abstract/Free Full Text]

13. Levy WC, Mozaffarian D, Linker DT, et al. The Seattle Heart Failure Model: prediction of survival in heart failure Circulation 2006;113:1424-1433.[Abstract/Free Full Text]

14. Greenberg H, Case RB, Moss AJ, Brown MW, Carroll ER, Andrews ML. Analysis of mortality events in the Multicenter Automatic Defibrillator Implantation Trial (MADIT-II) J Am Coll Cardiol 2004;43:1459-1465.[Abstract/Free Full Text]

15. Chobanian AV, Bakris GL, Black HR, et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure Hypertension 2003;42:1206-1252.[Abstract/Free Full Text]

16. Hansson L, Zanchetti A, Carruthers SG, et al. HOT Study Group Effects of intensive blood-pressure lowering and low-dose aspirin in patients with hypertension: principal results of the Hypertension Optimal Treatment (HOT) randomised trial Lancet 1998;351:1755-1762.[CrossRef][Web of Science][Medline]

17. UK Prospective Diabetes Study Group Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes BMJ 1998;317:703-713.[Abstract/Free Full Text]

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19. Abraham WT, Chin MH, Feldman AM, et al. Chronic heart failure in the adult: ACC/AHA 2005 guideline update for the diagnosis and management of heart failure in the adult J Am Coll Cardiol 2005;46:1116-1143.[Free Full Text]

20. Daubert JP, Zareba W, Hall WJ, et al. MADIT II Study Investigators Predictive value of ventricular arrhythmia inducibility for subsequent ventricular tachycardia or ventricular fibrillation in Multicenter Automatic Defibrillator Implantation Trial (MADIT) II patients J Am Coll Cardiol 2006;47:98-107.[Abstract/Free Full Text]


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