Trends and Predictors of Cardiac Rehabilitation Referral Following Percutaneous Coronary Intervention: A Prospective, Multi-Site Study of 41,739 Patients From the Victorian Cardiac Outcomes Registry (2017-2020)

Predictors of Cardiac Rehabilitation Attendance and Completion: Analysis of 33,055 Patients from the Queensland Cardiac Outcomes Registry (2020-2022)

AIM

Cardiac rehabilitation (CR) under-attendance presents a global challenge. The Queensland Cardiac Outcomes Registry is a comprehensive clinical registry that routinely collects point-of-care CR data. We aimed to determine whether demographic, clinical, psychosocial, and behavioural characteristics of the population vary between those who (i) declined, (ii) commenced but did not complete, and (iii) completed CR.

METHODS

The cohort comprised 33,055 patients referred to one of 56 Queensland CR services extracted from the Queensland Cardiac Outcomes Registry (2020-2022). Bivariate and multivariable logistic regression analyses were used to identify factors associated with CR non-attendance and non-completion.

RESULTS

Over the study period, 12,152 patients (37%) declined CR, 11,621 (35%) initiated but did not complete CR, and 9,282 (28%) completed CR. Significant predictors of CR non-attendance were aged ≥75 years (adjusted odds ratio [aOR] 1.51; 95% confidence interval [CI] 1.42-1.61), Indigenous status (aOR 1.65; 95% CI 1.50-1.81), living regionally (aOR 1.76; 95% CI 1.65-1.87) or remotely (aOR 2.33; 95% CI 1.92-2.82), and having arrhythmia (aOR 2.38; 95% CI 2.07-2.73), heart failure (aOR 1.54; 95% CI 1.37-1.74), non-ST-elevation myocardial infarction (aOR 1.30; 95% CI 1.21-1.40) or unstable angina (aOR 1.24; 95% CI 1.1.13-1.37). Significant predictors of CR non-completion were age <55 years (aOR 1.55; 95% CI 1.37-1.75), Indigenous status (aOR 1.60; 95% CI 1.29-1.98), living regionally (aOR 1.29; 95% CI 1.12-1.48), obesity (aOR 1.14; 95% CI 1.01-1.28), being a current (aOR 1.97; 95% CI 1.70-2.27) or former smoker (aOR:1.22, 95% CI 1.11-1.33) and having low social support (aOR 1.58; 95% CI 1.24-2.02).

CONCLUSION

As one of the largest studies of CR participation to date, these findings can now be applied to develop targeted, co-designed initiatives to enhance CR participation, especially among First Nations populations, smokers, those with limited social support, people living regionally/remotely, patients with arrhythmia and heart failure, and those in varying age groups.

Temporal Trends in Cardiac Rehabilitation Participation and Its Core Components: A Nationwide Cohort Study From the Netherlands

PURPOSE

Patient- and disease-specific data on cardiac rehabilitation (CR) participation and changes over time are limited. The objective of this study was to describe time trends in CR participation between 2013 and 2019 and provides insights into the utilization of CR components.

METHODS

Patients with cardiovascular disease (CVD) with an indication for CR were enrolled between 2013 and 2019. Dutch health insurance claims data were used to identify CR participation and its components.

RESULTS

In total, 106 212 patients with CVD were included of which 37% participated in CR. Participation significantly increased from 28% in 2013 to 41% in 2016 but remained unchanged thereafter. Participation was highest in the youngest age groups (<50 yrs 52%; 50-65 yrs 50%), men (48%), patients with ST-segment elevation myocardial infarction (73%), non-ST-segment elevation myocardial infarction (59%), and coronary artery bypass grafting (82%). In contrast, it was the lowest in the oldest age group (≥85 yrs 8%), women (30%), and in patients with heart failure (11%). Most participants in CR received referral plus an admission session (97%) and exercise training (82%), whereas complementary services related to dietary (14%) and mental health counseling (10%) had a low utilization.

CONCLUSIONS

CR participation rates increased to 41% in 2016 but remained unchanged thereafter. Participation modulators included age, sex, CVD diagnosis, and undergoing a cardiothoracic procedure. Education and exercise sessions were frequently adopted, but dietary and mental health counseling had a low utilization rate. These findings suggest the need for reinvigorated referral and novel enrollment strategies in specific CVD subgroups to further promote CR participation and its associated underutilized adjunctive services.

Temporal trends in admission for cardiac rehabilitation after an acute coronary syndrome in France from 2009 to 2021: Persistent sex, age and social disparities

BACKGROUND

Cardiac rehabilitation after an acute coronary syndrome is recommended to decrease patient morbidity and mortality and to improve quality of life.

AIMS

To describe time trends in the rates of patients undergoing cardiac rehabilitation after an acute coronary syndrome in France from 2009 to 2021, and to identify possible disparities.

METHODS

All patients hospitalized for acute coronary syndrome in France between January 2009 and June 2021 were identified from the national health insurance database. Cardiac rehabilitation attendance was identified within 6 months of acute coronary syndrome hospital discharge. Age-standardized cardiac rehabilitation rates were computed and stratified for sex and acute coronary syndrome subtypes (ST-segment elevation and non-ST-segment elevation). Patient characteristics and outcomes were described and compared. Factors independently associated with cardiac rehabilitation attendance were identified.

RESULTS

In 2019, among 134,846 patients with an acute coronary syndrome, 22.3% underwent cardiac rehabilitation within 6 months of acute coronary syndrome hospital discharge. The mean age of patients receiving cardiac rehabilitation was 62 years. The median delay between acute coronary syndrome hospitalization and cardiac rehabilitation was 32 days, with about 60% receiving outpatient cardiac rehabilitation. Factors significantly associated with higher cardiac rehabilitation rates were male sex, younger age (35-64 years), least socially disadvantaged group, ST-segment elevation, percutaneous coronary intervention and coronary artery bypass graft. Between 2009 and 2019, cardiac rehabilitation rates increased by 40% from 15.9% to 22.3%. Despite greater upward trends in women, their cardiac rehabilitation rate was significantly lower than that for men (14.8% vs. 25.8%). In 2020, cardiac rehabilitation attendance dropped because of the coronavirus disease 2019 pandemic.

CONCLUSIONS

Despite the health benefits of cardiac rehabilitation, current cardiac rehabilitation attendance after acute coronary syndrome remains insufficient in France, particularly among the elderly, women and socially disadvantaged people.

No effect of remoteness on clinical outcomes following myocardial infarction: An analysis of 43,729 myocardial infarctions in Victoria, Australia

BACKGROUND

Remoteness has been shown to predict poor clinical outcomes following myocardial infarction (MI). This study investigated 1-year clinical outcomes following MI by remoteness in Victoria, Australia.

METHODS

We included all admissions for people discharged from hospital following MI between July 2012 and June 2017 (n = 43,729). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). The relationship between remoteness and major adverse cardiovascular events (MACE) and all-cause mortality over 1-year was evaluated using adjusted Poisson regression, stratified by type STEMI and NSTEMI.

RESULTS

For NSTEMI, adjusted rates of MACE were 77.5[95% confidence interval 65.1-92.1] for the most remote area versus 83.4[65.5-106.3] for the least remote area per 1000 person-years. For STEMI, rates of MACE were 28.5[18.3-44.6] for the most versus 33.5[18.9-59.4] for the least remote areas per 1000 person-years. With respect to all-cause mortality, NSTEMI mortality rates were 82.2[67.0-100.9] for the most versus 100.8[75.2-135.1] for the least remote areas per 1000 person-years. For STEMI, mortality rates were 24.7[13.7-44.7] for the most versus 22.3[9.8-50.8] for the least remote per 1000 person-years.

CONCLUSIONS

Rates of MACE and all-cause mortality were similar in regardless of degree of remoteness, suggesting that initiatives to increase access to cardiology care in more remote areas succeeded in reducing previous disparities.

Use of secondary prevention medications in metropolitan and non-metropolitan areas: an analysis of 41,925 myocardial infarctions in Australia

BACKGROUND

People in remote areas may have more difficulty accessing healthcare following myocardial infarction (MI) than people in metropolitan areas. We determined whether remoteness was associated with initial and 12-month use of secondary prevention medications following MI in Victoria, Australia.

METHOD

We included all people alive at least 90 days post-discharge following MI between July 2012 and June 2017 in Victoria, Australia (n=41,925). We investigated dispensing of P2Y12 inhibitors (P2Y12i), statins, ACE-inhibitors or angiotensin receptor blockers (ACEI/ARBs), and beta-blockers within 90 days post-discharge. We estimated 12-month medication use using proportion of days covered (PDC). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). Data were analyzed using adjusted parametric regression models stratified by STEMI and NSTEMI.

RESULTS

There were 10,819 STEMI admissions and 31,106 NSTEMI admissions. Following adjustment across NSTEMI and STEMI, there were no medication classes dispensed in the 90-days post-discharge that differed in a clinically significant way from the least remote (ARIA=0) to the most remote (ARIA=4.8) areas. The largest difference for NSTEMI were ACEi/ARB, with 71%(95%CI 70-72%) versus 80%(76%-83%). For STEMI, it was statins with 89%(88-90%) versus 95%(91-97%). Predicted PDC for STEMI and NSTEMI were not clinically significant across remoteness, with the largest difference in NSTEMI being P2Y12i with 48%(47-50%) versus 55%(51-59%), and in STEMI it was ACEi/ARB with 68%(67-69%) versus 76%(70-80%).

CONCLUSION

Remoteness does not appear to be a clinically significant driver for medication use following MI. Possible differences in cardiovascular outcomes in metropolitan and non-metropolitan areas are not likely to be explained by access to secondary prevention medications.