Time-of-day variation in cardiovascular response to maximal exercise testing in coronary heart disease patients taking a beta-blocker

Adherence to High-Intensity Interval Training in Cardiac Rehabilitation: A REVIEW AND RECOMMENDATIONS

PURPOSE

High-intensity interval training (HIIT) is gaining popularity as a training approach for patients attending cardiac rehabilitation (CR). While the literature has focused on the efficacy of HIIT for improving cardiorespiratory fitness (CRF), particularly when compared with moderate intensity exercise, less emphasis has been placed on adherence to HIIT. The aim of this review was to summarize the current literature regarding adherence to HIIT in CR patients with coronary artery disease.

REVIEW METHODS

A review identified 36 studies investigating HIIT in CR patients with coronary artery disease. Methods and data were extracted for exercise or training adherence (to attendance, intensity, and duration), feasibility of protocols, and CRF. The review summarizes reporting of adherence; adherence to HIIT and comparator/s; the influence of adherence on changes in CRF; and feasibility of HIIT.

SUMMARY

Adherence to the attendance of HIIT sessions was high and comparable with moderate-intensity exercise. However, adherence to the intensity and duration of HIIT was variable and underreported, which has implications for determining the treatment effect of the exercise interventions being compared. Furthermore, additional research is needed to investigate the utility of home-based HIIT and long-term adherence to HIIT following supervised programs. This review provides recommendations for researchers in the measurement and reporting of adherence to HIIT and other exercise interventions to facilitate a sufficient and consistent approach for future studies. This article also highlights strategies for clinicians to improve adherence, feasibility, and enjoyment of HIIT for their patients.

Effects of β-Blockers on Maximal Heart Rate Prediction Equations in a Cardiac Population

PURPOSE

To derive specific maximal heart rate (HRmax) prediction equations for a coronary artery disease (CAD) population based upon status of β-blocker (BB) therapy and to compare these to prior HRmax equations (Fox and Brawner-specific for CAD).

METHODS

We retrospectively reviewed stress echocardiogram treadmill tests in patients with CAD, dividing subjects into 3 groups based upon BB use on test day: not prescribed BB therapy (no BB group; n = 110); held for 12 to 24 hr prior (held BB group; n = 155); and continued taking (took BB group; n = 72).

RESULTS

Derived HRmax equations for our CAD population were no BB = 200 - 0.79 × age; held BB = 193 - 0.71 × age; and took BB = 168 - 0.51 × age. Achieved HRmax mean was not significantly different between held BB and no BB groups; however, HRmax in the took BB group was significantly lower. Fox and Brawner (no BB)-HRmax equations significantly overestimated (+6 and +9 mean bias) and underestimated (-8 and -6 mean bias) achieved HRmax in no BB and held BB groups, respectively. The Brawner (no BB) equation intercept and slope were not significantly different from our CAD-held BB and no BB equations. The Brawner (on BB) equation intercept and slope were similar to our took BB equation, but greatly underestimated achieved HRmax (-17 mean bias).

CONCLUSION

For patients holding BB therapy on test day, a similar CAD HRmax estimation equation to those patients never on BB can be used, comparable to the Brawner (no BB) equation. Further research is needed to determine when patients should take their BB therapy in conjunction with exercise testing.

A study of the 200-metre fast walk test as a possible new assessment tool to predict maximal heart rate and define target heart rate for exercise training of coronary heart disease patients

Objective:

To develop a new predictive model of maximal heart rate based on two walking tests at different speeds (comfortable and brisk walking) as an alternative to a cardiopulmonary exercise test during cardiac rehabilitation.

Design:

Evaluation of a clinical assessment tool.

Setting:

A Cardiac Rehabilitation Department in France.

Subjects:

A total of 148 patients (133 men), mean age of 59 ±9 years, at the end of an outpatient cardiac rehabilitation programme.

Main measures:

Patients successively performed a 6-minute walk test, a 200 m fast-walk test (200mFWT), and a cardiopulmonary exercise test, with measure of heart rate at the end of each test. An all-possible regression procedure was used to determine the best predictive regression models of maximal heart rate. The best model was compared with the Fox equation in term of predictive error of maximal heart rate using the paired t-test.

Results:

Results of the two walking tests correlated significantly with maximal heart rate determined during the cardiopulmonary exercise test, whereas anthropometric parameters and resting heart rate did not. The simplified predictive model with the most acceptable mean error was: maximal heart rate = 130 − 0.6 × age + 0.3 × HR200mFWT (R2 = 0.24). This model was superior to the Fox formula (R2 = 0.138). The relationship between training target heart rate calculated from measured reserve heart rate and that established using this predictive model was statistically significant ( r = 0.528, p < 10−6).

Conclusions:

A formula combining heart rate measured during a safe simple fast walk test and age is more efficient than an equation only including age to predict maximal heart rate and training target heart rate.

Morning and evening exercise

A growing body of evidence suggests that exercise may contribute to preventing pathological changes, treating multiple chronic diseases, and reducing mortality and morbidity ratios. Scientific evidence moreover shows that exercise plays a key role in improving health-related physical fitness components and hormone function. Regular exercise training is one of the few strategies that has been strictly adapted in healthy individuals and in athletes. However, time-dependent exercise has different outcomes, based on the exercise type, duration, and hormone adaptation. In the present review, we therefore briefly describe the type, duration, and adaptation of exercise performed in the morning and evening. In addition, we discuss the clinical considerations and indications for exercise training.

Endurance exercise intensity determination in the rehabilitation of coronary artery disease patients: a critical re-appraisal of current evidence

In the care of coronary artery disease (CAD) patients, the benefits of exercise therapy are generally established. Even though the selected endurance exercise intensity might affect medical safety, therapy adherence and effectiveness in the rehabilitation of CAD patients in how to determine endurance exercise intensity properly remains difficult. The aim of this review is to describe the available methods for endurance exercise intensity determination in the rehabilitation of CAD patients, accompanied with their (dis)advantages, validity and reproducibility. In general, endurance exercise intensity can objectively be determined in CAD patients by calculating a fraction of maximal exercise tolerance and/or determining ventilatory threshold after execution of a cardiopulmonary exercise test with ergospirometry. This can be translated to a corresponding training heart rate (HR) or workload. In the absence of ergospirometry equipment, target exercise HR can be calculated directly by different ways (fraction of maximal HR and/or Karvonen formula), and/or anaerobic threshold can be determined. However, the use of HR for determining exercise intensity during training sessions seems complicated, because many factors/conditions affect the HR. In this regard, proper standardization of the exercise sessions, as well as exercise testing, might be required to improve the accuracy of exercise intensity determination. Alternatively, subjective methods for the determination of endurance exercise intensity in CAD patients, such as the Borg ratings of perceived exertion and the talk test, have been developed. However, these methods lack proper validity and reliability to determine endurance exercise intensity in CAD patients. In conclusion, a practical and systematic approach for the determination of endurance exercise intensity in CAD patients is presented in this article.

QT restitution properties of middle-aged women with different exercise capacities

BACKGROUND

Framingham Study data indicate an incremental risk of cardiovascular death in relation to low exercise capacity in women. The reason for death is still not clear.

METHODS

QT restitution properties in 80 middle-aged women were investigated to confirm whether the cardiac restitution property was affected by the exercise capacity. Exercise tests were performed according to the Bruce protocol. Seventy cases were divided into the low-exercise capacity group (LEC group) and high-exercise capacity group (HEC group) by median exercise capacities. Sequential QT intervals and their preceding TQ intervals were measured, and the QT restitution curve (QTRC) was constructed. Two exponential equations were used to match the data and calculate the maximum slope (Smax) of QTRC, respectively.

RESULTS

With elevation in the exercise level, the women in the LEC group had a higher change rate of QT intervals (41 ± 10 vs 29 ± 3 ms/Met, P = .001) and TQ intervals (46 ± 12 vs 41 ± 7 ms/Met, P = .046); and the ratio of QT interval alterations to TQ interval alterations increased (0.41 ± 0.09 vs 0.36 ± 0.07, P = .003). The Smax of the QTRC in the LEC group was higher than that in the HEC group (1.43 ± 0.44 vs 1.13 ± 0.34, P = .002). There was an inverse relationship between Smax and exercise capacity (r = -0.43, P = .001).

CONCLUSION

Middle-aged women with low exercise capacity have steeper QTRCs than those with high exercise capacity, denoting a more unstable alternation of QT interval with elevation in exercise level.