Angiology: Open Access

Angiology: Open Access
Open Access

ISSN: 2329-9495

+44 1478 350008

Review Article - (2013) Volume 1, Issue 1

Heart Rate as a Therapeutic Target for the Prevention of Cardiovascular Disease

Taku Inoue*
Center of Residency and Fellowship Program, University Hospital of the Ryukyus, 207 Uehara, Nishihara, 903-0215 Okinawa, Japan
*Corresponding Author: Taku Inoue, Center of Residency and Fellowship Program, University Hospital of the Ryukyus, 207 Uehara, Nishihara, 903-0215 Okinawa, Japan Email:

Abstract

Evidence from epidemiologic studies demonstrates that resting Heart Rate (HR) is an independent risk factor for Cardiovascular (CV) event. In addition, recent studies indicate that follow-up HR adds prognostic information over and above baseline HR. Elevated resting HR represents sympathetic over-activation leading to cardiometabolic deterioration and is also associated with subclinical inflammation and target organ damage. In addition, elevated resting HR might modify the local hemodynamic environment and contribute to atherosclerosis formation. A pure HR-lowering drug, Ivabradine, reduces CV event in patients with coronary artery disease and chronic heart failure. These findings indicate that elevated resting HR is not just as an epiphenomenon representing “poor conditioning” but a therapeutic target. The potential role of HR and its modulation should be considered in the future guidance documents.

Keywords: Heart rate, Beta-blocker, Cardiovascular disease

Introduction

Based on extensive evidence from epidemiologic studies and clinical trials designed for other purposes, elevated resting Heart Rate (HR) is an undesirable prognostic sign. The BEAUTIFUL [1] and the SHIFT [2] studies, however prospectively evaluated the prognostic significance of lowering resting HR and demonstrated that resting HR should be a therapeutic target for patients with CAD and chronic heart failure. However, physicians have considered elevated resting HR to be an epiphenomenon representing “poor conditioning”. In this review article, we summaries the clinical significance of elevated resting HR and discuss the clinical applications of follow–up HR for the improvement of patient prognosis.

Resting HR as a Prognostic Factor

That elevated HR is a risk factor of all–cause and CV mortality within a wide spectrum of subjects is supported by numerous epidemiological studies [3]. Elevated resting HR has been considered as a risk factor for undesirable prognosis independent of confounding factors. Elevated resting HR is a common feature among patients with hypertension. The Framingham study [4] demonstrated that each increment in resting HR of 40 bpm doubled the risk of death both hypertensive men and women. In the placebo arm of the Syst–Eur trial [5], patients with resting HR>79 bpm had approximately twice greater risk of all–cause mortality and a 1.6 times greater risk of CV mortality than the subjects with HR below that level.

Recent studies indicate that follow–up HR adds prognostic information over and above baseline HR (Table 1). In the general population and male healthy workers, an increase in follow–up HR increased mortality risk [6,7]. Among these studies, the Paris Prospective Study 1 [6] demonstrated the valuable findings. They followed a total of 5,139 healthy working men and showed increase in follow–up HR had a 19% increased mortality risk (95%CI 1.04–1.37). They also demonstrated that decrease in follow–up HR of at least 4 bpm had a 14% lower mortality risk (95% CI: 0.74–1.00). The association between follow–up HR and adverse outcome is also demonstrated in hypertensive patients [812]. The Glasgow Blood Pressure Clinic Study [8] demonstrated developing or persistent resting HR>80 bpm increased the risk of all–cause (hazard ratio: 1.78, 95% CI: 1.31–2.41) and CV mortality risk (hazard ratio: 1.92, 95% CI: 1.24–2.99). In the LIFE study [9], a 10 bpm HR increase was associated with a 25% increased risk of CV mortality, and persistence or development of a follow–up HR>84 bpm was associated with an 89% greater risk of CV mortality. The association between follow–up HR and CV events was also found in other hypertensive studies regardless of the β–blocker use [1012]. In patients with stable CAD, the increased CV event risk was apparent in patients with a mean follow–up HR>75 bpm, and the relationship between follow–up HR and event risk was not linear but J–shaped with a nadir at 59 bpm [13] (Figure 1). The follow–up HR may represent altered subjects’ risk status such as cardiometabolic risks and overall hemodynamic stress on the arterial trees over time. Accordingly, clinical significance of follow–up HR is more evident than measured HR at baseline.

        HR    
Study name Patients No. Follow Baseline In-treatment Results
INVEST [16] CAD with HT 22,576 2.7 y 75.7
75.7
69.2
72.8
CV event risk was apparent in patients with HR >75 bpm.
J-shape HR and events relation was observed.
ASCOT-BPLA [45] HT without CAD 12,759 3.8 y At 73.8
Am 73.8
-12.0
-1.3
HR at 6 weeks was associated with the nonfatal MI and fatal CHD outcome.
Paris Prospective Study 1 [9] Male healthy workers 5,139 23 y N/A N/A Total mortality
HR decrease vs. no change: RR 0.86 (95% CI 0.74-1.00)
HR increase vs. no change: RR 1.19 (95% CI1.04-1.37)
VALUE [15] High risk HT 15,245 4.2 y Val 72.3
Am 72.5
N/A
N/A
CV event
Highest HR quintile vs. 4 lower HR quintiles: HzR 1.52 (95% CI: 1.36–1.69)
LIFE [12] HT 9,190 4.8 y At
Los
-4.1
-0.5
Every 10 bpm increase
CV mortality: HzR 1.16 (95% CI 1.06–1.27)
Total mortality: HzR 1.25, 95% CI 1.17–1.33
Developing or persist ±84bpm
CV mortality; HzR 1.55 (95% CI 1.16–2.05)
Total mortality; HzR 1.79 (95% CI 1.46–2.21)
ONTARGET / TRANSCEDENT [14]         High risk HT 31,531 5 y 68.0 N/A Every 10bpm increase
Total mortality: HzR 1.35 (95% CI 1.30-1.40)
CV mortality: HzR 1.36 (95% CI 1.32-1.45)
MCE: HzR 1.26 (95% CI 1.22-1.30)
MI: HzR 1.03 (95% CI 0.97-1.03)
Stroke: HzR 1.17 (95% CI 1.10-1.25)
Glasgow BP Clinic study [11] Outpatient HT 4,065 2.5 y 77 74 Total mortality 
Persistent >80bpm vs. persistent <60bpm: HzR 1.78 (95% CI 1.31-2.41)
CV mortality
Persistent >80bpm vs. persistent <60bpm: HzR 1.92 (95% CI: 1.24-2.99)
Nord-Trøndelag County Health Study [10] General population 29,325 12 y N/A N/A Total mortality
>85 vs. <70bpm: HzR 1.9 (95% CI 1.0-3.6)
>85 vs. 70-85bpm: HzR 1.8 (95% CI 1.2-2.8)
BPM: Beats Per Minute; BP: Blood Pressure; CAD: Coronary Artery Disease; HzR: Hazard Ratio; RR: Relative Risk; CI: Confidence Interval; CV: Cardiovascular; HR: Heart Rate; HT: Hypertension; MI: Myocardial Infarction; MCE: Major Cardiovascular Events; N/A: Not Available; Y: years; At: Atenorol; Los: Losaltan; Am: Amlodipine

Table 1: Studies demonstrating the association between in-treatment HR or serial HR change and adverse outcome.

 

angiology-Relationship-between-in-treatment-HR-INVEST-patients

Figure 1: Relationship between in-treatment HR for INVEST patients and incidence of adverse outcomes (left axis, bars) and risk (right axis -●-, hazard ratio) derived from a stepwise Cox proportional hazards model. The nadir for in-treatment HR was 59 bpm. Reprinted with permission from Kolloch et al. (13).

Resting HR and Comorbid Risk Factors

Individuals with tachycardia often have characteristic features of insulin resistance syndrome, including high blood pressure, obesity, increased blood glucose and insulin levels, and an abnormal lipid profile [14,15]. Moreover, an increase in the resting HR may predispose to these cardiometabolic abnormalities [1618], suggesting that an early rise in sympathetic drive may promote these metabolic changes. Accordingly, elevated resting HR is not just an epiphenomenon of a subject’s present cardiovascular risk. We examined the relationship between resting HR and cardiometabolic risks of approximately 10,000 healthy individuals. Elevated resting HR was associated with the number of cardiometabolic risks [15] and developing metabolic syndrome [18]. Elevated resting HR and sympathetic over activation found in masked hypertension and white coat hypertension are also consistent with this finding [19,20].

Elevated resting HR is also associated with subclinical inflammation. In the subjects without apparent coronary artery disease, resting HR and/or HR variability were associated with an increased CRP level and white blood cell count [2123]. The RISC study [22] showed that white blood cell count and erythrocyte sedimentation rate were positively associated with an elevated resting HR, even after adjusting for confounding factors. Elevated resting HR is also associated with target organ damage such as microalbuminuria, chronic kidney disease, microvascular complication, and arterial stiffness [2427] suggesting that resting HR is associated with all stages of cardiovascular continuum.

Cause and Pathophysiological Mechanism

Heart rate is genetically transmitted and the hereditability of HR is estimated to be approximately 21to 26% [28,29]. Heart rate was associated with a Ser49–to–gly (S49G) polymorphism in the beta–1 adrenergic receptor independent of other variables [30]. Of course resting HR is affected by numerous environmental factors, including psychological stress, fever (18 beats per degree Celsius), anemia, dehydration, and dietary pattern. Excessive intake of high–calorie diet rich in processed carbohydrates and saturated fat can lead to transient postprandial spikes in blood glucose, free fatty acids and triglycerides [31,32]. These conditions generate free radicals and trigger biochemical cascades of nitric oxide degeneration, inflammation, endothelial dysfunction, sympathoexcitation, parasympathetic depression, and a concurrent HR elevation [3337]. These findings indicate that a lifestyle–induced increase in sympathetic drive may promote these cardiometabolic changes. It is plausible that elevated resting HR coexists with cardio–metabolic deterioration such as insulin resistance [38], blood pressure elevation [39] and risk accumulation [14,18]. In addition, elevated resting HR is also derived from blunted sensitivity of baroreceptor. Sympathetic overactivation that characterizes the heart failure syndrome can be found in the early phase of this condition. It is usually coupled to an impairment of the normal inhibitory baroreceptor modulation of central sympathetic outflow [35,36].

Elevated resting HR increases myocardial oxygen demand resulting in myocardial ischemia [40], and triggers serious ventricular arrhythmia [41]. In addition, elevated resting HR might modify the local hemodynamic environment and contribute to the development of atherosclerosis. In regions of the vasculature where flow reversal or shear oscillation is dominant, elevated resting HR is associated with expanded periods of low shear stress, potentially facilitating atherosclerotic lesion formation [42]. The inflammatory transcripts of endothelium is suppressed under physiological, but reversed at higher frequency of pulsatile flow, most pronounced under reversing and oscillatory shear [43]. Whereas, ivabradine improves endothelial function, reduces vascular oxidative stress and developing atherosclerosis in apolipoprotein E deficient mice [44]. The rate limiting by sino–atrial node ablation also retards atherosclerosis formation in cynomolgus monkeys [45,46].

Pharmacologic HR Lowering and Outcome

It is logically plausible that HR reduction leads to a better prognosis [6,8]. Non–pharmacologic HR lowering, such as dietary supplementation with omega 3 fatty acids [47], docosahexaenoic acid [48], exercise training [49], body weight reduction [50,51], and lipid lowering by HMG–CoA reductase inhibitors [52] also reduces HR and leads to favorable outcomes. In patients with heart failure and myocardial infarction, mortality reduction is evident with HR lowering [53,54]. The meta–regression analysis revealed that larger resting HR reduction was associated with a greater mortality reduction for cardiac death, all–cause death and sudden death in patients with post–myocardial infarction regardless of the therapeutic strategies (Figure 2). However, there are few evidences that demonstrated the clinical advantage of HR lowering in patients with stable CAD [13,5559] (Table 2). Although none of these studies was designed for HR lowering as a therapeutic target, HR lowering with β–blocker reduced CV event rate. Although the APSIS [59] and the INVEST [13] did not show the prognostic significance between the therapeutic strategies, follow–up HR was associated with patients’ prognosis regardless of therapeutic strategies [13]. In the INVEST, CV event risk was apparent in patients with resting HR>75 bpm [13]. Whereas, Bangalore et al. demonstrated in their meta–regression analysis that β–blocker–associated HR reduction increased the risk of CV events and death for hypertensive patients [60]. Their results, however, should be cautiously interpreted. The blood pressure of patients assigned to β–blocker was at most 9.2mmHg higher than control group in five out of seven active control studies. The CAFÉ study also suggested that an increase in central aortic pressure due to HR lowering might be the cause of increased CV event in β–blocker based strategy [61]. In the ASCOT–BPLA study, however, resting HR at 6 weeks was associated with the nonfatal myocardial infarction and fatal CHD outcome [10]. Accordingly, these results simply indicated that β–blocker was inferior to other drugs for blood pressure lowering, but not the deleterious effect of HR lowering. We have to pay attention to the rate of HR change and the dosage of β–blocker, because acute administration of higher–dose β–blocker for achieving HR and BP lowering result in greater risk than benefit [62,63].

          HR  
Study name Patients No. Follow Drug Baseline In-treatment Results
ASIST [34] Silent ischemia 306 0.9 y Ate
Pla
75
75
63
75
All-cause death and CV events: RR 0.55, 95% CI 0.22-1.33
Aggravation of angina: RR 0.35, 95% CI 0.17-0.72
Adverse outcome: RR 0.44, 95% CI 0.26-0.75
BIP [35] DM with CAD 2,723 3 y BB
Non BB
70
75
N/A
N/A
Total mortality: RR 0.58, 95% CI 0.44-0.77
Cardiac mortality: RR 0.66, 95% CI 0.46-0.94
TIBBs [36] Stable CAD 317 1 y Bis
Nif
74.2
74.0
N/A
N/A
CV events rate: Bis 22.1% vs. Nif 33.1%, p=0.033
TIBET [37] Stable CAD 682 2 y Ate
Nif
Com
N/A
N/A
N/A
-15.4
+2.9
-13.5
No difference in adverse outcome among the strategies
APSIS [38] Stable CAD 809 3.4 yrs Met
Ver
N/A
N/A
N/A
N/A
All-cause death: OR 0.94, 95% CI 0.53-1.67
All-cause death and CV events: OR 1.22, 95% CI 0.95-1.56
INVEST [16] Stable CAD 22,576 2.7 y Ate
Ver
75.6
75.5
69.2
72.8
No adverse outcome difference between the drugs.
CV event risk was apparent in patients with HR >75 bpm.
J-shape HR and event relation was observed.
Ate: Atenolol; BB: β-blocker; Bis: Bisoprolol; CAD: Coronary Artery Disease; CI: confidence interval; Com: Combination; CV: Cardiovascular; DM: diabetes Mellitus; IHD: Ischemic Heart Disease; Met: Metoprolol; MI: Myocardial Infarction; N/A: Not Available; Nif: Nifedipine; NS: Not Significant; Pla: Placebo; RR: Elative Risk; Ver: Verapamil

Table 2: Studies demonstrating the association between rate-limiting therapy using β-blocking agents and the prognosis of patients with stable CAD. The effect of risk reduction using β-blocking agents are shown in the table.

 

angiology-Relationship-between-absolute-heart-rate-reduction-cardiac-death

Figure 2: Relationship between absolute heart rate reduction and cardiac death in patients with post myocardial infarction. Reprinted with permission from Cucherat (54).

The sympathetic inhibition has been identified as a potential effect of β–blocker, thereby, confounding factor for the association between resting HR and CV event reduction. Studies using ivabradine, which acts specifically on the sino–atrial node by inhibiting the If current of cardiac pacemaker cells, reinforced the clinical significance of lowering HR. The BEAUTIFUL trial [1] evaluated the stable CAD patients with reduced cardiac function with appropriate medical treatment including β–blocker and demonstrated HR lowering, but not ivabradine use itself, improved the coronary event in a subgroup of patients with a resting HR>70 bpm. This result shows the prognostic significance of HR reduction even in patients with stable CAD. Another ivabradine study, the SHIFT trial [2], evaluated the symptomatic chronic heart failure patients with guideline–recommended medical treatment and indicated that patients with achieved HR<60 bpm on treatment had fewer CV events than patients with an elevated resting HR. These results showed the clinical benefit of HR lowering in addition to appropriately treated patients and indicated that resting HR is a therapeutic target.

Resting HR is an established index for predicting the risk of patients with acute coronary syndromes and several risk scales have been developed [6468]. In the long–term therapeutic strategy of stable CAD patients, however, most physicians ignore the significance of resting HR in spite of numerous evidences. CLARIFY [69], a real–world large international prospective observational registry of stable CAD patients, has been carried out to determine the long–term prognostic determinants in CAD, including resting HR. Moreover, “Heart rate Guide” is due to be published preceding the guidance documentation for HR [70] The “optimal resting HR level” might be a therapeutic option and contribute to reducing residual risk [71]. HR–guided patient care in addition to modification of the other cardiometabolic risks contribute to a better prognosis for the prevention of CV events [72].

Conclusion

As resting HR is a target for the prevention of CV events, the clinical importance of resting HR should be emphasized. HR–guided patient care allows ready–to use and cost–effective CV risk reduction.

References

  1. Fox K, Ford I, Steg PG, Tendera M, Ferrari R (2008) Ivabradine for patients with stable coronary artery disease and left-ventricular systolic dysfunction (BEAUTIFUL): a randomised, double-blind, placebo-controlled trial. Lancet 372: 807-816.
  2. Böhm M, Swedberg K, Komajda M, Borer JS, Ford I, et al. (2010) Heart rate as a risk factor in chronic heart failure (SHIFT): the association between heart rate and outcomes in a randomised placebo-controlled trial. Lancet 376: 886-894.
  3. Fox K, Borer JS, Camm AJ, Danchin N, Ferrari R, et al. (2007) Resting heart rate in cardiovascular disease. J Am Coll Cardiol 50: 823-830.
  4. Gillman MW, Kannel WB, Belanger A, D'Agostino RB (1993) Influence of heart rate on mortality among persons with hypertension: the Framingham Study. Am Heart J 125: 1148-1154.
  5. Palatini P, Thijs L, Staessen JA, Fagard RH, Bulpitt CJ, et al. (2002) Predictive value of clinic and ambulatory heart rate for mortality in elderly subjects with systolic hypertension. Arch Intern Med 162: 2313-2321.
  6. Jouven X, Empana JP, Escolano S, Buyck JF, Tafflet M, et al. (2009) Relation of heart rate at rest and long-term (>20 years) death rate in initially healthy middle-aged men. Am J Cardiol 103: 279-283.
  7. Nauman J, Janszky I, Vatten LJ, Wisløff U (2011) Temporal changes in resting heart rate and deaths from ischemic heart disease. JAMA 306: 2579-2587.
  8. Paul L, Hastie CE, Li WS, Harrow C, Muir S, et al. (2010) Resting heart rate pattern during follow-up and mortality in hypertensive patients. Hypertension 55: 567-574.
  9. Okin PM, Kjeldsen SE, Julius S, Hille DA, Dahlöf B, et al. (2010) All-cause and cardiovascular mortality in relation to changing heart rate during treatment of hypertensive patients with electrocardiographic left ventricular hypertrophy. Eur Heart J 31: 2271-2279.
  10. Poulter NR, Dobson JE, Sever PS, Dahlöf B, Wedel H, et al. (2009) Baseline heart rate, antihypertensive treatment, and prevention of cardiovascular outcomes in ASCOT (Anglo-Scandinavian Cardiac Outcomes Trial). J Am Coll Cardiol 54: 1154-1161.
  11. Rambihar S, Gao P, Teo K, Bohm M, Yusuf S, etal. (2010) Heart Rate is associated with Increased Risk of Major Cardiovascular Events, Cardiovascular and All-Cause Death in Patients with Stable Chronic Cardiovascular Disease - An Analysis of ONTARGET/ TRANSCEND. In: Circulation p. A12667.
  12. Julius S, Palatini P, Kjeldsen S, Zanchetti A, Weber M, et al. (2010)TAchycardia Predicts Cardiovascular Events In The Value Trial. J Clin Hypertens 12: 529.
  13. Kolloch R, Legler UF, Champion A, Cooper-Dehoff RM, Handberg E, et al. (2008) Impact of resting heart rate on outcomes in hypertensive patients with coronary artery disease: findings from the INternational VErapamil-SR/trandolapril STudy (INVEST). Eur Heart J 29: 1327-1334.
  14. Palatini P, Julius S (1997) Heart rate and the cardiovascular risk. J Hypertens 15: 3-17.
  15. Inoue T, Oshiro S, Iseki K, Tozawa M, Touma T, et al. (2001) High heart rate relates to clustering of cardiovascular risk factors in a screened cohort. Jpn Circ J 65: 969-973.
  16. Shigetoh Y, Adachi H, Yamagishi S, Enomoto M, Fukami A, et al. (2009) Higher heart rate may predispose to obesity and diabetes mellitus: 20-year prospective study in a general population. Am J Hypertens 22: 151-155.
  17. Esler M, Straznicky N, Eikelis N, Masuo K, Lambert G, et al. (2006) Mechanisms of sympathetic activation in obesity-related hypertension. Hypertension 48: 787-796.
  18. Inoue T, Iseki K, Iseki C, Ohya Y, Kinjo K, et al. (2009) Effect of heart rate on the risk of developing metabolic syndrome. Hypertens Res 32: 801-806.
  19. Ben-Dov IZ, Ben-Arie L, Mekler J, Bursztyn M (2005) In clinical practice, masked hypertension is as common as isolated clinic hypertension: predominance of younger men. Am J Hypertens 18: 589-593.
  20. Grassi G, Seravalle G, Trevano FQ, Dell'oro R, Bolla G, et al. (2007) Neurogenic abnormalities in masked hypertension. Hypertension 50: 537-542.
  21. Sajadieh A, Nielsen OW, Rasmussen V, Hein HO, Abedini S, et al. (2004) Increased heart rate and reduced heart-rate variability are associated with subclinical inflammation in middle-aged and elderly subjects with no apparent heart disease. Eur Heart J 25: 363-370.
  22. De Rooij SR, Nijpels G, Nilsson PM, Nolan JJ, Gabriel R, Bobbioni-Harsch E, et al. Low-grade chronic inflammation in the relationship between insulin sensitivity and cardiovascular disease (RISC) population: associations with insulin resistance and cardiometabolic risk profile. Diabetes Care 2009; 32(7):1295-301.
  23. Inoue T, Iseki K, Iseki C, Kinjo K (2012) Elevated resting heart rate is associated with white blood cell count in middle-aged and elderly individuals without apparent cardiovascular disease. Angiology 63: 541-546.
  24. Inoue T, Iseki K, Iseki C, Ohya Y, Kinjo K, et al. (2009) Heart rate as a risk factor for developing chronic kidney disease: longitudinal analysis of a screened cohort. Clin Exp Nephrol 13: 487-493.
  25. Böhm M, Reil JC, Danchin N, Thoenes M, Bramlage P, et al. (2008) Association of heart rate with microalbuminuria in cardiovascular risk patients: data from I-SEARCH. J Hypertens 26: 18-25.
  26. Hillis GS, Hata J, Woodward M, Perkovic V, Arima H, et al. (2012) Resting heart rate and the risk of microvascular complications in patients with type 2 diabetes mellitus. J Am Heart Assoc 1: e002832.
  27. Benetos A, Adamopoulos C, Bureau JM, Temmar M, Labat C, et al. (2002) Determinants of accelerated progression of arterial stiffness in normotensive subjects and in treated hypertensive subjects over a 6-year period. Circulation 105: 1202-1207.
  28. Singh JP, Larson MG, O'Donnell CJ, Tsuji H, Evans JC, et al. (1999) Heritability of heart rate variability: the Framingham Heart Study. Circulation 99: 2251-2254.
  29. Martin LJ, Comuzzie AG, Sonnenberg GE, Myklebust J, James R, et al. (2004) Major quantitative trait locus for resting heart rate maps to a region on chromosome 4. Hypertension 43: 1146-1151.
  30. Ranade K, Jorgenson E, Sheu WH, Pei D, Hsiung CA, et al. (2002) A polymorphism in the beta1 adrenergic receptor is associated with resting heart rate. Am J Hum Genet 70: 935-942.
  31. Ceriello A, Assaloni R, Da Ros R, Maier A, Piconi L, et al. (2005) Effect of atorvastatin and irbesartan, alone and in combination, on postprandial endothelial dysfunction, oxidative stress, and inflammation in type 2 diabetic patients. Circulation 111: 2518-2524.
  32. O'Keefe JH, Bell DS (2007) Postprandial hyperglycemia/hyperlipidemia (postprandial dysmetabolism) is a cardiovascular risk factor. Am J Cardiol 100: 899-904.
  33. Danson EJ, Li D, Wang L, Dawson TA, Paterson DJ (2009) Targeting cardiac sympatho-vagal imbalance using gene transfer of nitric oxide synthase. J Mol Cell Cardiol 46: 482-489.
  34. Weissman A, Lowenstein L, Peleg A, Thaler I, Zimmer EZ (2006) Power spectral analysis of heart rate variability during the 100-g oral glucose tolerance test in pregnant women. Diabetes Care 29: 571-574.
  35. Leimbach WN Jr, Wallin BG, Victor RG, Aylward PE, Sundlöf G, et al. (1986) Direct evidence from intraneural recordings for increased central sympathetic outflow in patients with heart failure. Circulation 73: 913-919.
  36. Grassi G, Seravalle G, Cattaneo BM, Lanfranchi A, Vailati S, et al. (1995) Sympathetic activation and loss of reflex sympathetic control in mild congestive heart failure. Circulation 92: 3206-3211.
  37. Grassi G, Vailati S, Bertinieri G, Seravalle G, Stella ML, et al. (1998) Heart rate as marker of sympathetic activity. J Hypertens 16: 1635-1639.
  38. Palatini P, Casiglia E, Pauletto P, Staessen J, Kaciroti N, et al. (1997) Relationship of tachycardia with high blood pressure and metabolic abnormalities: a study with mixture analysis in three populations. Hypertension 30: 1267-1273.
  39. Inoue T, Iseki K, Iseki C, Kinjo K, Ohya Y, et al. (2007) Higher heart rate predicts the risk of developing hypertension in a normotensive screened cohort. Circ J 71: 1755-1760.
  40. Tanaka N, Nozawa T, Yasumura Y, Futaki S, Hiramori K, et al. (1990) Heart-rate-proportional oxygen consumption for constant cardiac work in dog heart. Jpn J Physiol 40: 503-521.
  41. Reynolds RD, Calzadilla SV, Lee RJ (1978) Spontaneous heart rate, propranolol, and ischaemia-induced ventricular fibrillation in the dog. Cardiovasc Res 12: 653-658.
  42. Bassiouny HS, Zarins CK, Kadowaki MH, Glagov S (1994) Hemodynamic stress and experimental aortoiliac atherosclerosis. J Vasc Surg 19: 426-434.
  43. Himburg HA, Dowd SE, Friedman MH (2007) Frequency-dependent response of the vascular endothelium to pulsatile shear stress. Am J Physiol Heart Circ Physiol 293: H645-653.
  44. Custodis F, Baumhäkel M, Schlimmer N, List F, Gensch C, et al. (2008) Heart rate reduction by ivabradine reduces oxidative stress, improves endothelial function, and prevents atherosclerosis in apolipoprotein E-deficient mice. Circulation 117: 2377-2387.
  45. Beere PA, Glagov S, Zarins CK (1984) Retarding effect of lowered heart rate on coronary atherosclerosis. Science 226: 180-182.
  46. Beere PA, Glagov S, Zarins CK (1992) Experimental atherosclerosis at the carotid bifurcation of the cynomolgus monkey. Localization, compensatory enlargement, and the sparing effect of lowered heart rate. Arterioscler Thromb 12: 1245-1253.
  47. Marik PE, Varon J (2009) Omega-3 dietary supplements and the risk of cardiovascular events: a systematic review. Clin Cardiol 32: 365-372.
  48. Mori TA, Bao DQ, Burke V, Puddey IB, Beilin LJ (1999) Docosahexaenoic acid but not eicosapentaenoic acid lowers ambulatory blood pressure and heart rate in humans. Hypertension 34: 253-260.
  49. Hambrecht R, Walther C, Möbius-Winkler S, Gielen S, Linke A, et al. (2004) Percutaneous coronary angioplasty compared with exercise training in patients with stable coronary artery disease: a randomized trial. Circulation 109: 1371-1378.
  50. Grassi G, Seravalle G, Colombo M, Bolla G, Cattaneo BM, et al. (1998) Body weight reduction, sympathetic nerve traffic, and arterial baroreflex in obese normotensive humans. Circulation 97: 2037-2042.
  51. Straznicky NE, Lambert GW, McGrane MT, Masuo K, Dawood T, et al. (2009) Weight loss may reverse blunted sympathetic neural responsiveness to glucose ingestion in obese subjects with metabolic syndrome. Diabetes 58: 1126-1132.
  52. Welzig CM, Shin DG, Park HJ, Kim YJ, Saul JP, et al. (2003) Lipid lowering by pravastatin increases parasympathetic modulation of heart rate: Galpha(i2), a possible molecular marker for parasympathetic responsiveness. Circulation 108: 2743-2746.
  53. Kjekshus J, Gullestad L (1999) Heart rate as a therapeutic target in heart failure. Eur Heart J Suppl 1(Suppl H):H64-H69.
  54. Cucherat M (2007) Quantitative relationship between resting heart rate reduction and magnitude of clinical benefits in post-myocardial infarction: a meta-regression of randomized clinical trials. Eur Heart J 28: 3012-3019.
  55. Pepine CJ, Cohn PF, Deedwania PC, Gibson RS, Handberg E, et al. (1994) Effects of treatment on outcome in mildly symptomatic patients with ischemia during daily life. The Atenolol Silent Ischemia Study (ASIST) Circulation 90: 762-768.
  56. Jonas M, Reicher-Reiss H, Boyko V, Shotan A, Mandelzweig L, et al. (1996) Usefulness of beta-blocker therapy in patients with non-insulin-dependent diabetes mellitus and coronary artery disease. Bezafibrate Infarction Prevention (BIP) Study Group. Am J Cardiol 77: 1273-1277.
  57. Von Arnim T (1996) Prognostic significance of transient ischemic episodes: response to treatment shows improved prognosis. Results of the Total Ischemic Burden Bisoprolol Study (TIBBs) follow-up. J Am Coll Cardiol 28: 20-24.
  58. Dargie HJ, Ford I, Fox KM (1996) Total Ischaemic Burden European Trial (TIBET). Effects of ischaemia and treatment with atenolol, nifedipine SR and their combination on outcome in patients with chronic stable angina. The TIBET Study Group. Eur Heart J 17: 104-112.
  59. Rehnqvist N, Hjemdahl P, Billing E, Björkander I, Eriksson SV, et al. (1996) Effects of metoprolol vs verapamil in patients with stable angina pectoris. The Angina Prognosis Study in Stockholm (APSIS) Eur Heart J 17: 76-81.
  60. Bangalore S, Sawhney S, Messerli FH (2008) Relation of beta-blocker-induced heart rate lowering and cardioprotection in hypertension. J Am Coll Cardiol 52: 1482-1489.
  61. Williams B, Lacy PS, Thom SM, Cruickshank K, Stanton A, et al. (2006) Differential impact of blood pressure-lowering drugs on central aortic pressure and clinical outcomes: principal results of the Conduit Artery Function Evaluation (CAFE) study. Circulation 113: 1213-1225.
  62. Poldermans D, Boersma E, Bax JJ, Thomson IR, van de Ven LL, et al. (1994) The effect of bisoprolol on perioperative mortality and myocardial infarction in high-risk patients undergoing vascular surgery. Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography Study Group. N Engl J Med 341: 1789-1794.
  63. Poise Study Group, Devereaux PJ, Yang H, Yusuf S, Guyatt G, et al. (2008) Effects of extended-release metoprolol succinate in patients undergoing non-cardiac surgery (POISE trial): a randomised controlled trial. Lancet 371: 1839-1847.
  64. Eagle KA, Lim MJ, Dabbous OH, Pieper KS, Goldberg RJ, et al. (2004) A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry. JAMA 291: 2727-2733.
  65. Marchioli R, Avanzini F, Barzi F, Chieffo C, Di Castelnuovo A, et al. (2001) Assessment of absolute risk of death after myocardial infarction by use of multiple-risk-factor assessment equations: GISSI-Prevenzione mortality risk chart. Eur Heart J 22: 2085-2103.
  66. Morrow DA, Antman EM, Charlesworth A, Cairns R, Murphy SA, et al. (2000) TIMI risk score for ST-elevation myocardial infarction: A convenient, bedside, clinical score for risk assessment at presentation: An intravenous nPA for treatment of infarcting myocardium early II trial substudy. Circulation 102: 2031-2037.
  67. Morrow DA, Antman EM, Giugliano RP, Cairns R, Charlesworth A, et al. (2001) A simple risk index for rapid initial triage of patients with ST-elevation myocardial infarction: an InTIME II substudy. Lancet 358: 1571-1575.
  68. Wiviott SD, Morrow DA, Frederick PD, Giugliano RP, Gibson CM, et al. (2004) Performance of the thrombolysis in myocardial infarction risk index in the National Registry of Myocardial Infarction-3 and -4: a simple index that predicts mortality in ST-segment elevation myocardial infarction. J Am Coll Cardiol 44: 783-789.
  69. Steg PG, Ferrari R, Ford I, Greenlaw N, Tardif JC, et al. (2012) Heart rate and use of beta-blockers in stable outpatients with coronary artery disease. PLoS One 7: e36284.
  70. Fruchart JC, Sacks FM, Hermans MP, Assmann G, Brown WV, et al. (2008) The Residual Risk Reduction Initiative: a call to action to reduce residual vascular risk in dyslipidaemic patient. Diab Vasc Dis Res 5: 319-335.
  71. Turnbull F; Blood Pressure Lowering Treatment Trialists' Collaboration (2003) Effects of different blood-pressure-lowering regimens on major cardiovascular events: results of prospectively-designed overviews of randomised trials. Lancet 362: 1527-1535.
Citation: Inoue T (2013) Heart Rate as a Therapeutic Target for the Prevention of Cardiovascular Disease. Angiol 1:104.

Copyright: © 2013 Inoue T. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Top