Predictors of gain in exercise capacity through cardiac rehabilitation: Sex and age matter

Fuentes Artiles, Rubén; Euler, Sebastian; Auschra, Bianca; da Silva, Hadassa Brito; Niederseer, David; Schmied, Christian; von Känel, Roland; Jellestad, Lena

doi:10.1016/j.hrtlng.2023.08.003

Cited by 3 publications

(1 citation statement)

References 51 publications

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“…Physical activity positively impacts HRQoL [ 50 ], with women benefiting particularly from tailored CR programs [ 51 ]. Concurrently, women and younger participants especially benefit from CR by improving their exercise capacity [ 52 ]. Physical inactivity at the same time represents a recognized cardiovascular risk factor [ 53 ]; furthermore, the positive effects of physical activity on CVD [ 54 ] have already been documented and should be properly addressed, improving secondary as well as primary cardiac prevention.…”

Section: Discussionmentioning

confidence: 99%

Differential associations of sex and age with changes in HRQoL during outpatient cardiac rehabilitation

Lanini,

Euler,

Zuccarella-Hackl

et al. 2024

J Patient Rep Outcomes

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Introduction Cardiovascular diseases (CVD) represent the world’s leading cause of death. Health-related quality of life (HRQoL) is a widely applied concept of patients’ perceived health and is directly linked to CVD morbidity, mortality, and re-hospitalization rates. Cardiac rehabilitation (CR) improves both cardiovascular outcomes and HRQoL. Regrettably, CR is still underutilized, especially in subgroups like women and elderly patients. The aim of our study was to investigate the predictive potential of sex and age on change of HRQoL throughout outpatient CR. Methods 497 patients of outpatient CR were retrospectively assessed from August 2015 to September 2019 at the University Hospital Zurich. A final sample of 153 individuals with full HRQoL data both at CR entry and discharge was analyzed. HRQoL was measured using the 36-Item Short Form Survey (SF-36) with its physical (PCS) and mental (MCS) component scale. In two-factorial analyses of variance, we analyzed sex- and age-specific changes in HRQoL scores throughout CR, adjusting for psychosocial and clinical characteristics. Age was grouped into participants over and under the age of 65. Results In both sexes, mean scores of physical HRQoL improved significantly during CR (p <.001), while mean scores of mental HRQoL improved significantly in men only (p =.003). Women under the age of 65 had significantly greater physical HRQoL improvements throughout CR, compared with men under 65 (p =.043) and women over 65 years of age (p =.014). Sex and age did not predict changes in mental HRQoL throughout CR. Conclusions Younger women in particular benefit from CR with regard to their physical HRQoL. Among older participants, women report equal improvements of physical HRQoL than men. Our results indicate that sex- and age-related aspects of HRQoL outcomes should be considered in CR.

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Section: Discussionmentioning

confidence: 99%

Differential associations of sex and age with changes in HRQoL during outpatient cardiac rehabilitation

Lanini,

Euler,

Zuccarella-Hackl

et al. 2024

J Patient Rep Outcomes

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Geschlechterspezifische Aspekte kardiovaskulärer Erkrankungen

Baessler,

Bauer,

Becker

et al. 2024

Kardiologie

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Predicting peak cardiorespiratory fitness in patients with cardiovascular disease using machine learning

Suh,

Kim,

Kim

et al. 2024

Preprint

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Objective This study aimed to develop machine learning (ML) models to predict peak cardiorespiratory fitness (CRF) before and after cardiac rehabilitation (CR). Methods and Results Data from 162 patients with cardiovascular disease were analyzed. Two predictive tasks were employed: Task 1 estimated peak oxygen consumption (VO2 peak) using baseline clinical and functional data and Task 2 predicted changes in VO2 peak after CR by additionally considering inter-visit exercise quantities and pre-CR cardiopulmonary exercise test (CPET) results. Four linear regression models and six ML models were trained and validated through 5-fold cross-validation technique. Both tasks demonstrated that the CatBoost and XGBoost models exhibited the highest predictive performance, effectively forecasting VO2 peak values before and after CR. Task 1 highlighted the importance of the six-minute walk distance (6MWD), Korean Activity Scale Index (KASI), and hand grip strength (HGS) in predicting the initial VO2 peak. Task 2 suggested a ceiling effect in the recovery of VO2 peak following CR and emphasized the importance of resistance exercise. Conclusion The application of ML models provides a powerful tool for predicting the peak CRF in patients with CVD undergoing CR, both at the initial assessment and after completing rehabilitation programs.

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Predictors of gain in exercise capacity through cardiac rehabilitation: Sex and age matter

Cited by 3 publications

References 51 publications

Differential associations of sex and age with changes in HRQoL during outpatient cardiac rehabilitation

Differential associations of sex and age with changes in HRQoL during outpatient cardiac rehabilitation

Geschlechterspezifische Aspekte kardiovaskulärer Erkrankungen

Predicting peak cardiorespiratory fitness in patients with cardiovascular disease using machine learning

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