Poor quality of life in patients with and without frailty: co-prevalence and prognostic implications in patients undergoing percutaneous coronary interventions and cardiac catheterization

Chronological vs Biological Age in Interventional Cardiology: A Comprehensive Approach to Care for Older Adults: JACC Family Series

Aging is the gradual decline in physical and physiological functioning leading to increased susceptibility to stressors and chronic illnesses, including cardiovascular disease. With an aging global population, in which 1 in 6 individuals will be older than 60 years by 2030, interventional cardiologists are increasingly involved in providing complex care for older individuals. Although procedural aspects remain their main clinical focus, interventionalists frequently encounter age-associated risks that influence eligibility for invasive care, decision making during the intervention, procedural adverse events, and long-term management decisions. The unprecedented growth in transcatheter interventions, especially for structural heart diseases at extremes of age, have pushed age-related risks and implications for cardiovascular care to the forefront. In this JACC state-of-the-art review, the authors provide a comprehensive overview of the aging process as it relates to cardiovascular interventions, with special emphasis on the difference between chronological and biological aging. The authors also address key considerations to improve health outcomes for older patients during and after their invasive cardiovascular care. The role of "gerotherapeutics" in interventional cardiology, technological innovation in measuring biological aging, and the integration of patient-centered outcomes in the older adult population are also discussed.

Predictors of major adverse cardiac and cerebrovascular events after percutaneous coronary intervention in older adults: a systematic review and meta-analysis

AIM

We systematically reviewed and meta-analyzed the predictors of major adverse cardiac and cerebrovascular events (MACE/MACCE) in older adults who underwent PCI.

METHODS

Three databases, PubMed, Embase, and Scopus, were searched for observational studies considering the out-of-hospital MACE/MACCE in adults ≥ 60 years old with coronary artery disease (acute or chronic) who underwent PCI. Studies were eligible if they had determined at least two statistically significant predictors of MACE/MACCE by multivariable analysis. We used the QUIPS tool to evaluate the risk of bias in the studies. Random-effects meta-analysis was utilized to pool the hazard ratios (HRs) of the most reported predictors.

RESULTS

A total of 34 studies were included in the review. Older age (HR = 1.04, 95% Confidence Interval (CI): 1.03-1.06, P-value < 0.001), diabetes (HR = 1.36, 95% CI: 1.22-1.53, P < 0.001), history of myocardial infarction (MI) (HR = 1.88, 95% CI: 1.37-2.57, P < 0.001), ST-elevation MI (STEMI) at presentation (HR = 1.72, 95% CI: 1.37-2.18, P < 0.001), reduced left ventricular ejection fraction (LVEF) (HR = 2.01, 95% CI: 1.52-2.65, P < 0.001), successful PCI (HR = 0.35, 95% CI: 0.27-0.47, P < 0.001), eGFR (HR = 0.99, 95% CI: 0.97-1.00; P-value = 0.04) and left main coronary artery (LMCA) disease (HR = 2.07, 95% CI: 1.52-2.84, P < 0.001) were identified as predictors of MACE.

CONCLUSION

We identified older age, diabetes, history of MI, STEMI presentation, lower LVEF, and LMCA disease increased the risk of MACE/MACCE after PCI in older adults. Meanwhile, higher eGFR and successful PCI predicted lower adverse events risk. Future studies should focus on a more robust methodology and a precise definition of MACE.

REGISTRATION

PROSPERO (CRD42023480332).

Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients

Objective: To develop a risk score model for the occurrence of composite cardiovascular events (CVE) in patients with stable angina pectoris (SA) combined with coronary heart disease (CHD) by comparing the modeling effects of various machine learning (ML) algorithms. Methods: In this prospective study, 690 patients with SA combined with CHD attending the Department of Integrative Cardiology, China-Japan Friendship Hospital, from October 2020 to October 2021 were included. The data set was randomly divided into a training group and a testing group in a 7:3 ratio in the per-protocol set (PPS). Model variables were screened using the least absolute shrinkage selection operator (LASSO) regression, univariate analysis, and multifactor logistic regression. Then, nine ML algorithms are integrated to build the model and compare the model effects. Individualized risk assessment was performed using the SHapley Additive exPlanation (SHAP) and nomograms, respectively. The model discrimination was evaluated by receiver operating characteristic curve (ROC), the calibration ability of the model was evaluated by calibration plot, and the clinical applicability of the model was evaluated by decision curve analysis (DCA). This study was approved by the Clinical Research Ethics Committee of China-Japan Friendship Hospital (2020-114-K73). Results: 690 patients were eligible to finish the complete follow-up in the PPS. After LASSO screening and multifactorial logistic regression analysis, physical activity level, taking antiplatelets, Traditional Chinese medicine treatment, Gensini score, Seattle Angina Questionnaire (SAQ)-exercise capacity score, and SAQ-anginal stability score were found to be predictors of the occurrence of CVE. The above predictors are modeled, and a comprehensive comparison of the modeling effectiveness of multiple ML algorithms is performed. The results show that the Light Gradient Boosting Machine (LightGBM) model is the best model, with an area under the curve (AUC) of 0.95 (95% CI = 0.91-1.00) for the test set, Accuracy: 0.90, Sensitivity: 0.87, and Specificity: 0.96. Interpretation of the model using SHAP highlighted the Gensini score as the most important predictor. Based on the multifactorial logistic regression modeling, a nomogram, and online calculators have been developed for clinical applications. Conclusion: We developed the LightGBM optimization model and the multifactor logistic regression model, respectively. The model is interpreted using SHAP and nomogram. This provides an option for early prediction of CVE in patients with SA combined with CHD.

Impact of frailty on outcomes of elderly patients undergoing percutaneous coronary intervention: A systematic review and meta-analysis

BACKGROUND

Frailty is a common condition in elderly patients who receive percutaneous coronary intervention (PCI). However, how frailty affects clinical outcomes in this group is unclear.

AIM

To assess the link between frailty and the outcomes, such as in-hospital complications, post-procedural complications, and mortality, in elderly patients post-PCI.

METHODS

The PubMed/MEDLINE, EMBASE, Cochrane Library, and Web of Science databases were screened for publications up to August 2023. The primary outcomes assessed were in-hospital and all-cause mortality, major adverse cardiovascular events (MACEs), and major bleeding. The Newcastle-Ottawa Scale was used for quality assessment.

RESULTS

Twenty-one studies with 739693 elderly patients undergoing PCI were included. Frailty was consistently associated with adverse outcomes. Frail patients had significantly higher risks of in-hospital mortality [risk ratio: 3.45, 95% confidence interval (95%CI): 1.90-6.25], all-cause mortality [hazard ratio (HR): 2.08, 95%CI: 1.78-2.43], MACEs (HR: 2.92, 95%CI: 1.85-4.60), and major bleeding (HR: 4.60, 95%CI: 2.89-7.32) compared to non-frail patients.

CONCLUSION

Frailty is a pivotal determinant in the prediction of risk of mortality, development of MACEs, and major bleeding in elderly individuals undergoing percutaneous coronary intervention.

Clinical Significance of Biological Age in Patients Undergoing Percutaneous Coronary Intervention

OBJECTIVE

To test whether biological age calculated using deficits, functional impairments, or their combination will provide improved estimation of long-term mortality among older adults undergoing percutaneous coronary intervention.

PATIENTS AND METHODS

Cardiovascular deficits, noncardiovascular deficits, and functional impairments were prospectively studied in 535 patients aged 55 years or older from August 1, 2014, to March 31, 2018. Models for biological age included deficits (acquired, increase with age, associated with worse prognosis, did not saturate early), functional impairments (subjective-help with daily activities, difficulty with sensory input, continence, weight, balance, mobility; or objective-timed up and go, functional reach), or their combination.

RESULTS

The mean ± SD age of the study patients was 72.1±9.5 years. For every 5-year increase in chronological age, the mean number of cardiovascular deficits increased from 2.36 among patients younger than 70 years to 3.44 in nonagenarians. The mean number of functional impairments increased from 2.15 for those younger than 70 years to 6.74 for nonagenarians. During a median follow-up of 2.05 years, 99 patients died. Significant improvement in the Harrell concordance index (C index) for prediction of long-term all-cause mortality was noted with biological age calculated from deficits and impairments compared with chronological age (0.77 vs 0.65; P<.001) and when estimating biological age via functional impairments alone vs chronological age (0.75 vs 0.65; P<.001) but not via deficits alone (0.71 vs 0.65; P=.08). Biological age estimates from subjective functional impairments captured most of the prognostic information related to all-cause and noncardiac mortality, whereas deficit-based estimation favored cardiovascular mortality.

CONCLUSION

The derivation of biological age from deficits and functional impairments provides a major improvement in the estimation of survival as estimated by chronological age.

Assessment and Management of Older Adults Undergoing PCI, Part 1: A JACC: Advances Expert Panel

As the population ages, older adults represent an increasing proportion of patients referred to the cardiac catheterization laboratory. Older adults are the highest-risk group for morbidity and mortality, particularly after complex, high-risk percutaneous coronary interventions. Structured risk assessment plays a key role in differentiating patients who are likely to derive net benefit vs those who have disproportionate risks for harm. Conventional risk assessment tools from national cardiovascular societies typically rely on 3 pillars: 1) cardiovascular risk; 2) physiologic and hemodynamic risk; and 3) anatomic and procedural risks. We propose adding a fourth pillar: geriatric syndromes, as geriatric domains can supersede all other aspects of risk.

Impact of frailty on disease-specific health status in cardiovascular disease

Frailty is a syndrome of older age that reflects an impaired physiological reserve and decreased ability to recover from medical stressors. While the impact of frailty on mortality in cardiovascular disease has been well described, its impact on cardiovascular disease-specific health status-cardiac symptoms, physical functioning and quality of life-has been less well studied. In this review, we summarise the impact of frailty on health status outcomes across different cardiovascular conditions. In heart failure, frail patients have markedly impaired disease-specific health status and are at risk for subsequent health status deteriorations. However, frail patients have similar or even greater health status improvements with interventions for heart failure, such as cardiac rehabilitation or guideline-directed medical therapy. In valvular heart disease, the impact of frailty on disease-specific health status is of even greater concern since management involves physiologically taxing procedures that can worsen health status. Frailty increases the risk of poor health status outcomes after transcatheter aortic valve intervention or surgical aortic valve replacement for aortic stenosis, but there is no evidence that frail patients benefit more from one procedure versus another. In both heart failure and valvular heart disease, health status improvements may reverse frailty, highlighting the overlap between cardiovascular disease and frailty and emphasising that treatment should typically not be withheld based on the presence of frailty alone. Meanwhile, data are limited on the impact of frailty on health status outcomes in the treatment of coronary artery disease, peripheral artery disease and atrial fibrillation, and requires further research.

Multiple mediating effects of self-efficacy and physical activity on the relationship between frailty and health-related quality of life in adults with CVD

AIMS

Poor health-related quality of life is prevalent among individuals with cardiovascular disease (CVD) and may be associated with frailty as well as low levels of self-efficacy and physical activity. This study aimed to identify the multiple mediating effects of exercise self-efficacy and physical activity on the relationship between frailty and health-related quality of life among community-dwelling adults with CVD.

METHODS AND RESULTS

This cross-sectional study included 489 Korean patients aged >20 years diagnosed with CVD. Data were collected through an online survey conducted in June, 2021. The mediation hypothesis was tested using a serial multiple mediation model and the bootstrapping method. Approximately 39.5% of patients in this study were in a frail state. Our main finding revealed that frailty had an indirect effect on health-related quality of life through all three different pathways: each single mediation of exercise self-efficacy and physical activity, and the serial multiple mediation of exercise self-efficacy and physical activity as the first and second mediators, respectively. The direct effect of frailty on the health-related quality of life was also significant.

CONCLUSION

Frail adults with CVD tended to have lower levels of self-efficacy, physical activity, and poor health-related quality of life. Thus, early identification of frailty and interventions targeting the promotion of self-efficacy and physical activity may improve health-related quality of life in adults with CVD. Longitudinal studies are necessary to further refine our findings across other samples and to address the limitations of the current study.

Validation of the PROMIS-29v2 Health-Related Quality-of-Life Questionnaire in Patients With Coronary Heart Disease Participating in Remote Cardiac Rehabilitation

PURPOSE

The aim of this study was to validate the 29-item Patient-Reported Outcomes Measurement Information System version 2.0 (PROMIS-29v2) health-related quality-of-life (HRQL) questionnaire for use in patients with coronary heart disease (CHD) participating in remotely delivered cardiac rehabilitation (CR).

METHODS

Patients commencing remote CR across four sites in New South Wales, Australia, answered the PROMIS-29v2 and 12-item Short Form Health Survey version 2.0 (SF-12v2) questionnaires at CR entry and completion (6 wk). The data were analyzed for validity, reliability, and responsiveness to change.

RESULTS

Patients (N = 89) had a mean age of 66.9 ± 9.3 yr; 83% were male and were referred to CR for elective percutaneous coronary intervention (PCI) (42%), myocardial infarction (36%), and coronary artery bypass grafting (22%). Internal consistency reliability was adequate, with the Cronbach α ranging from 0.78-0.98. Convergent validity between the PROMIS-29v2 and SF-12v2 summary scores showed significantly strong correlations for physical (r = 0.62) and moderate for mental (r = 0.36) health. Discriminant validity was confirmed for sex (women reported lower physical and mental health) and referral diagnosis (patients who had elective PCI reported better physical health). Effect size (ES) comparisons confirmed responsiveness to change from CR entry to completion in physical health (ES = 0.51) and demonstrated evidence of more responsiveness than SF-12v2 for mental health (ES = 0.70).

CONCLUSION

The PROMIS-29v2 is reliable, valid, and responsive to changes in patients with CHD attending remotely delivered CR and allows for baseline HRQL assessment, between-diagnosis comparisons, and evaluation of changes over time.