Chronotropic incompetence and coronary artery disease

Associations among cardiorespiratory fitness, C-reactive protein, and all-cause mortality in men and women

We examined individual and joint associations among high-sensitivity C-reactive protein (CRP), cardiorespiratory fitness (fitness), and mortality in healthy men and women. Between January 1, 2000 and December 31, 2016, 30,077 adults (31.3% women) received a comprehensive physical examination. Fitness was determined from maximal treadmill exercise test duration. Participants were categorized as unfit (Quintile 1) and fit (Quintiles 2-5), and by normal (<2 mg/L) and elevated (≥2 mg/L) CRP categories. Adjusted hazard ratios (HRs) with 95% confidence interval (CI) for all-cause mortality were computed with Cox regression. During an average of 10.1 years of follow-up, 576 deaths occurred. Following adjustment for age, smoking status, sex, exam year, body mass index, systolic blood pressure, total cholesterol, triglyceride:high-density lipoprotein ratio, and fasting glucose, HR (95% CI) for all-cause mortality were 1.0 (referent) and 1.52 (1.14-2.02) for fit and unfit categories, respectively. Corresponding values for normal and elevated CRP categories were 1.0 and 1.50 (1.20-1.89), respectively. When grouped by fitness and CRP category, there was significantly greater mortality risk in the unfit than the fit category within the elevated CRP category (HR = 1.77 (1.14-2.75)), but not in the normal CRP category (HR = 1.38 (0.96-1.98)). Each 1 metabolic equivalent increment in fitness and 1 mg/L increment in CRP were associated with 10.0% (95% CI: 5.1-14.8%) decreased and 7.3% (95% CI: 2.0%-12.9%) increased mortality hazard, respectively. Compared to the unfit, fit individuals have an attenuated mortality risk within each CRP category. Thus, higher fitness appears to provide some protection against all-cause mortality, particularly among those with elevated levels of inflammation.

Effects of αβ-Blocker Versus β1-Blocker Treatment on Heart Rate Response During Incremental Cardiopulmonary Exercise in Japanese Male Patients with Subacute Myocardial Infarction

A simplified substitute for heart rate (HR) at the anaerobic threshold (AT), i.e., resting HR plus 30 beats per minute or a percentage of predicted maximum HR, is used as a way to determine exercise intensity without cardiopulmonary exercise testing (CPX) data. However, difficulties arise when using this method in subacute myocardial infarction (MI) patients undergoing beta-blocker therapy. This study compared the effects of αβ-blocker and β1-blocker treatment to clarify how different beta blockers affect HR response during incremental exercise. MI patients were divided into αβ-blocker (n = 67), β1-blocker (n = 17), and no-β-blocker (n = 47) groups. All patients underwent CPX one month after MI onset. The metabolic chronotropic relationship (MCR) was calculated as an indicator of HR response from the ratio of estimated HR to measured HR at AT (MCR-AT) and peak exercise (MCR-peak). MCR-AT and MCR-peak were significantly higher in the αβ-blocker group than in the β1-blocker group (p < 0.001, respectively). Multiple regression analysis revealed that β1-blocker but not αβ-blocker treatment significantly predicted lower MCR-AT and MCR-peak (β = -0.432, p < 0.001; β = -0.473, p < 0.001, respectively). Based on these results, when using the simplified method, exercise intensity should be prescribed according to the type of beta blocker used.

Chronotropic Incompetence and Risk of Atrial Fibrillation: The Henry Ford ExercIse Testing (FIT) Project

OBJECTIVES

To examine the association between chronotropic incompetence and incident atrial fibrillation (AF).

BACKGROUND

Patients with inadequate heart rate response during exercise may have abnormalities in sinus node function or autonomic tone that predispose to the development of AF.

METHODS

We examined the association between heart rate response and incident AF in 57,402 (mean age=54±13 years, 47% female, 64% white) patients free of baseline AF who underwent exercise-treadmill stress testing from the Henry Ford ExercIse Testing (FIT) Project. Age-predicted maximum heart rate (pMHR) values <85% and chronotropic index values <80% were used to define chronotropic incompetence. Cox regression, adjusting for demographics, cardiovascular risk factors, medications, coronary heart disease, heart failure, and metabolic equivalent of task achieved, was used to compute hazard ratios (HR) and 95% confidence intervals (CI) for the association between chronotropic incompetence and incident AF.

RESULTS

Over a median follow-up of 5.0 years (25^th-75^th percentiles=2.6, 7.8), a total of 3,395 (5.9%) participants developed AF. pMHR values <85% were associated with an increased risk for AF development (HR=1.33, 95%CI=1.22, 1.44). Chronotropic index values <80% also were associated with an increased risk of AF (HR=1.28, 95%CI=1.19, 1.38). The associations of pMHR and chronotropic index with AF remained significant with varying cut-off points to define chronotropic incompetence.

CONCLUSIONS

Our analysis suggests that patients with inadequate heart rate response during exercise have an increased risk for developing AF.

Does the aging process significantly modify the Mean Heart Rate?

Background

The Mean Heart Rate (MHR) tends to decrease with age. When adjusted for gender and diseases, the magnitude of this effect is unclear.

Objective

To analyze the MHR in a stratified sample of active and functionally independent individuals.

Methods

A total of 1,172 patients aged ≥ 40 years underwent Holter monitoring and were stratified by age group: 1 = 40-49, 2 = 50-59, 3 = 60-69, 4 = 70-79, 5 = ≥ 80 years. The MHR was evaluated according to age and gender, adjusted for Hypertension (SAH), dyslipidemia and non-insulin dependent diabetes mellitus (NIDDM). Several models of ANOVA, correlation and linear regression were employed. A two-tailed p value <0.05 was considered significant (95% CI).

Results

The MHR tended to decrease with the age range: 1 = 77.20 ± 7.10; 2 = 76.66 ± 7.07; 3 = 74.02 ± 7.46; 4 = 72.93 ± 7.35; 5 = 73.41 ± 7.98 (p < 0.001). Women showed a correlation with higher MHR (p <0.001). In the ANOVA and regression models, age and gender were predictors (p < 0.001). However, R² and ETA² < 0.10, as well as discrete standardized beta coefficients indicated reduced effect. Dyslipidemia, hypertension and DM did not influence the findings.

Conclusion

The MHR decreased with age. Women had higher values of MHR, regardless of the age group. Correlations between MHR and age or gender, albeit significant, showed the effect magnitude had little statistical relevance. The prevalence of SAH, dyslipidemia and diabetes mellitus did not influence the results.