Exercise Prescription Methods and Attitudes in Cardiac Rehabilitation: A NATIONAL SURVEY

Effect of Masking Secondary to the COVID-19 Pandemic on Functional Capacity Improvement in Cardiac Rehabilitation

PURPOSE

Given the difficulty to perform exercise training wearing a mask, we examined differences in functional capacity improvement between masking during the coronavirus disease 2019 (COVID-19) pandemic and non-masking prior to the pandemic for patients undergoing cardiac rehabilitation (CR).

METHODS

Records of 660 patients who underwent and completed ≥ 18 sessions of CR in 2018 (n = 318, non-masking) and in 2022 (n = 342, masking) at an academic health system were analyzed. The primary outcome was post-CR change in functional capacity in metabolic equivalents (MET) measured by exercise stress test. Sessions of CR participation and changes in depression, anxiety, and quality of life scores were secondary outcomes. We used multivariable linear regression to adjust for differences in baseline CR outcome measures, demographics, American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR) risk, and comorbid conditions.

RESULTS

Baseline age (64.6 ± 0.46 yr), sex (28% female), and racial distribution (85% white) were similar between the masking and non-masking groups. Non-masking patients were more likely to be classified in the AACVPR high risk category and had lower anxiety scores at baseline compared to masking patients. After CR, both groups had similar and significant improvements in depression, anxiety, and quality of life scores, but the improvement in functional capacity was lower in the masking group (-0.62 ± 0.12 MET, P < .001) compared to the non-masking group. Results remained significant after multivariable adjustment.

CONCLUSIONS

Cardiac rehabilitation patients requiring masking during the COVID-19 pandemic had less improvement in functional capacity than patients who did not wear masks during CR prior to the pandemic. Interventions to mitigate the potential side effects of masking for CR patients may require further exploration.

Cardiac rehabilitation: the gateway for secondary prevention

Cardiac rehabilitation (CR) is a multidisciplinary supervised programme which typically consists of tailored exercise and education on lifestyle management and risk factor modification in cardiac patients. Participation in CR reduces morbidity and mortality, while improving quality of life following major cardiovascular events. Despite the benefits of CR, it is underutilised, generally in the 20%-30% range for eligible patients. Participation and adherence rates are particularly suboptimal in vulnerable populations, such as those of lower socioeconomic status and women. Interventions such as automated referral to CR or hybrid/virtual programmes can increase enrolment to CR. This review summarises the components of CR and provides recommendations for providers regarding participation and adherence. To better engage a larger proportion of CR-eligible patients, CR programmes may need to expand or adjust ways to deliver secondary prevention.

Association between endothelin-1, nitric oxide, and Gensini score in chronic coronary syndrome

BACKGROUND

Chronic coronary syndrome (CCS) is a major public health burden; its pathogenesis involves atherosclerosis and endothelial dysfunction. Endothelin-1 (ET-1) and nitric oxide (NO) are vasoactive substances synthesized by endothelial cells that play a crucial role in CCS development. The Gensini score (GS) is used for evaluating CCS severity based on lumen segment changes, stenosis degree, and coronary stenosis site.

METHODS

This prospective study included 71 patients with CCS; we evaluated the relationships between GS and ET-1 and NO serum levels were evaluated in these patients. The GS was calculated for all patients. Serum ET-1 & NO levels among other laboratory parameters were measured.

RESULTS

The high GS group had higher ET-1 and relatively NO expressions in the than the low GS group. GS was positively correlated with ET-1 and negatively correlated with NO, T4, and TSH levels. The results of the multiple linear regression analysis showed that ET-1 had the most significant effect on GS.

CONCLUSIONS

We found a strong association between ET-1, NO, and CCS severity. A combination of ET-1, NO, and GS is an essential predictor of CCS disease severity.

Among Patients Taking Beta-Adrenergic Blockade Therapy, Use Measured (Not Predicted) Maximal Heart Rate to Calculate a Target Heart Rate for Cardiac Rehabilitation

PURPOSE

Among patients in cardiac rehabilitation (CR) on beta-adrenergic blockade (βB) therapy, this study describes the frequency for which target heart rate (THR) values computed using a predicted maximal heart rate (HR max ), correspond to a THR computed using a measured HR max in the guideline-based heart rate reserve (HR reserve ) method.

METHODS

Before CR, patients completed a cardiopulmonary exercise test to measure HR max , with the data used to determine THR via the HR reserve method. Additionally, predicted HR max was computed for all patients using the 220 - age equation and two disease-specific equations, with the predicted values used to calculate THR via the straight percent and HR reserve methods. The THR was also computed using resting heart rate (HR) +20 and +30 bpm.

RESULTS

Mean predicted HR max using the 220 - age equation (161 ± 11 bpm) and the disease-specific equations (123 ± 9 bpm) differed ( P < .001) from measured HR max (133 ± 21 bpm). Also, THR computed using predicted HR max resulted in values that were infrequently within the guideline-based HR reserve range calculated using measured HR max . Specifically, 0 to ≤61% of patients would have had an exercise training HR that fell within the guideline-based range of 50-80% of measured HR reserve . Use of standing resting HR +20 or +30 bpm would have resulted in 100% and 48%, respectively, of patients exercising below 50% of HR reserve .

CONCLUSIONS

A THR computed using either predicted HR max or resting HR +20 or +30 bpm seldom results in a prescribed exercise intensity that is consistent with guideline recommendations for patients in CR.

Cluster Sets to Prescribe Interval Resistance Training: A Potential Method to Optimise Resistance Training Safety, Feasibility and Efficacy in Cardiac Patients

The integration of resistance training for cardiac patients leads to important health outcomes that are not optimally obtained with aerobic exercise; these include an increase in muscle mass, maintenance of bone mineral density, and improvements in muscular fitness parameters. Despite the proliferation of evidence supporting resistance exercise in recent decades, the implementation of resistance training is underutilised, and prescription is often sub-optimal in cardiac patients. This is frequently associated with safety concerns and inadequate methods of practical exercise prescription. This review discusses the potential application of cluster sets to prescribe interval resistance training in cardiac populations. The addition of planned, regular passive intra-set rest periods (cluster sets) in resistance training (i.e., interval resistance training) may be a practical solution for reducing the magnitude of haemodynamic responses observed with traditional resistance training. This interval resistance training approach may be a more suitable option for cardiac patients. Additionally, many cardiac patients present with impaired exercise tolerance; this model of interval resistance training may be a more suitable option to reduce fatigue, increase patient tolerance and enhance performance to these workloads. Practical strategies to implement interval resistance training for cardiac patients are also discussed. Preliminary evidence suggests that interval resistance training may lead to safer acute haemodynamic responses in cardiac patients. Future research is needed to determine the efficacy and feasibility of interval resistance training for health outcomes in this population.

Consistency evaluation of exercise target heart rate determined by resting heart rate and anaerobic threshold in chronic heart failure patients

PURPOSE

To evaluate the consistency on the target heart rate for exercise determined by simple target heart rate (sTHR) based on resting heart rate (HRrest) and heart rate at anaerobic threshold (HRAT) in cardiopulmonary exercise test (CPET) for patients with chronic heart failure.

METHODS

This is a retrospective cohort study, in which CHF patients who underwent CPET in Tongji Hospital Cardiac Rehabilitation Center Affiliated to Tongji University from March 2007 to December 2018 were enrolled. The clinical data of the patients from the electronic medical record system, HRrest and HRAT measured by CPET were collected. Patients were further divided into subgroups according to gender, age (<60 years group and ≥ 60 years group), with or without beta-blocker therapy and subgroup of heart failure (heart failure with reduced, mid-range and preserved ejection fraction). The sTHR (HRrest plus 10, 15, 20, 25 and 30 bpm) and HRAT were all calculated in each patient. Paired t-test was used for the difference between the two methods, correlation analysis was shown by pearson analysis and intraclass correlation coefficient (ICC) was calculated for consistency test.

RESULTS

A total of 547 CHF patients were enrolled, including 447 males (81.7%), aged 63 (56,69) years, with BMI of 25.2 (23.5,26.4) kg/m² and LVEF of 45.0 (36.0, 52.0) %. The target heart rate determined by HRAT method was (93.59 ± 13.95) bpm, and its counterpart determined by HRrest plus 20 bpm (HRrest₊₂₀) was (93.16 ± 7.69) bpm. There was no significant difference between the two methods (P>0.05). However, it was statistically different between HRrest plus 10, 15, 25, 30 bpm and HRAT respectively (P<0.001). And HRrest₊₂₀ was positively correlated with HRAT (r = 0.418, P<0.001). Therefore, HRrest₊₂₀ below was regarded as sTHR. The ICC of the consistency test between sTHR and HRAT was 0.523,95%CI 0.435-0.596 (P < 0.001) in all patients (n = 547). In patients with beta-blocker therapy (n = 464), the ICC of sTHR and HRAT consistency test was 0.534,95%CI 0.441-0.612, P < 0.001; The ICC of the consistency test between sTHR and HRAT of patients without beta-blocker therapy (n = 83) was 0.407,95%CI 0.083-0.616, P < 0.05. In the sinus rhythm group (n = 466), the ICC of sTHR and HRAT consistency test was 0.527,95%CI 0.433-0.606, P < 0.001; The ICC of the consistency test between sTHR and HRAT of atrial fibrillation patients in group (n = 81) was 0.482,95%CI 0.195-0.667, P < 0.05.The ICC of the consistency test between sTHR and HRAT was 0.501,95%CI 0.338-0.623 (P < 0.001) in patients under 60 years old (n = 195); The ICC of the consistency test between sTHR and HRAT in patients ≥60 years old (n = 352) was 0.533,95%CI 0.424-0.621, P < 0.001. In the male group (n = 447), the ICC of sTHR and HRAT consistency test was 0.577,95%CI 0.491-0.649, P < 0.001; The ICC of the consistency test between sTHR and HRAT of female patients in group (n = 100) was 0.344,95%CI 0.025-0.559, P < 0.05. The ICC of sTHR and HRAT consistency test in HFrEF group (n = 170) was 0.395,95%CI 0.181-0.553, P < 0.01; The ICC values of the consistency test between sTHR and HRAT was 0.543, 95%CI 0.405-0.649 (P < 0.001) in patients with HFmrEF (n = 222); In HFpEF group (n = 155), the ICC of sTHR and HRAT consistency test was 0.620,95%CI 0.478-0.723, P < 0.001.

CONCLUSION

The exercise target heart rate calculated by HRrest is consistent with that determined by HRAT in patients with CHF. For primary hospitals without CPET, exercise prescription equivalent to AT intensity for patients with CHF can be determined by HRrest. However, the target heart rate calculated by HRrest can't replace that determined by HRAT in this patient cohort completely.

An evaluation of the role of the exercise training dose for changes in exercise capacity following a standard cardiac rehabilitation program

BACKGROUND

To retrospectively characterize and compare the dose of exercise training (ET) within a large cohort of patients demonstrating different levels of improvement in exercise capacity following a cardiac rehabilitation (CR) program.

METHODS

A total of 2310 patients who completed a 12-week, center-based, guidelines-informed CR program between January 2018 and December 2019 were included in the analysis. Peak metabolic equivalents (MET_peak) were determined pre- and post-CR during which total duration (ET time) and intensity [percent of heart rate peak (%HR_peak)] of supervised ET were also obtained. Training responsiveness was quantified on the basis of changes in MET_peak from pre- to post-CR. A cluster analysis was performed to identity clusters demonstrating discrete levels of responsiveness (i.e., negative, low, moderate, high, and very-high). These were compared for several baseline and ET-derived variables which were also included in a multivariable linear regression model.

RESULTS

At pre-CR, baseline MET_peak was progressively lower with greater training responsiveness (F_(4,2305) = 44.2, P < 0.01, η²_p = 0.71). Likewise, average training duration (F_(4,2305) = 10.7 P < 0.01, η²_p = 0.02) and %HR_peak (F_(4,2305) = 25.1 P < 0.01, η²_p = 0.042) quantified during onsite ET sessions were progressively greater with greater training responsiveness. The multivariable linear regression model confirmed that baseline MET_peak, training duration and intensity during ET, BMI, and age (P < 0.001) were significant predictors of MET_peak post-CR.

CONCLUSIONS

Along with baseline MET_peak, delta BMI, and age, the dose of ET (i.e., training duration and intensity) predicts MET_peak at the conclusion of CR. A re-evaluation of current approaches for exercise intensity prescription is recommended to extend the benefits of completing CR to all patients.

Relation of a Maximal Exercise Test to Change in Exercise Tolerance During Cardiac Rehabilitation

The purpose of this study was to test the hypothesis that an individualized exercise training target heart rate (HR) based on a maximal graded exercise test (GXT) is associated with greater improvements in exercise tolerance during cardiac rehabilitation (CR) compared with no GXT. In this retrospective study, we identified patients who completed 9 to 36 visits of CR between 2001 and 2016, with a length of stay ≤18 weeks and a visit frequency of 1 to 3 days per week. Patients were grouped based on whether their exercise was guided by a target HR determined from a GXT. To assess the relation between GXT and change in exercise training metabolic equivalents of task (METs), we used generalized linear models adjusted for age, gender, race, referral reason, CR visits, CR frequency, METs at start, CR location, and year of participation. Out of 4,455 patients (37% female, 48% White, median age = 62 years), 53% were prescribed a target HR based on a GXT. Compared with no GXT, a GXT was associated with a significantly greater increase in covariate-adjusted METs during CR and percentage change from start (+0.44 METs [95% confidence interval [CI] 0.38 to 0.51] and +17% [95% CI 14% to 19%], respectively). In a sensitivity analysis limited to patients with 24 to 36 visits at ≥2 days per week (n = 1,319), a GXT was associated with a significantly greater increase in covariate-adjusted exercise training METs (+0.51 [95% CI 0.36 to 0.66]; +19% [95% CI 13% to 24%]). In conclusion, to maximize the potential increase in exercise capacity during CR, patients should undergo a GXT to determine an individualized exercise training target HR.