2025/01/01 by Yasuhide Mochizuki, Yui Kuroki, Mina Shibakai +8 · 1 voice
Medicine · #Cardiovascular Effects of Exercise #Cardiovascular Function and Risk Factors #Cardiovascular and exercise physiology
paper · pdf · doi:10.1093/ehjimp/qyaf030
openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Abstract Aims Exercise stress echocardiography (ESE) is becoming increasingly important in assessing heart failure and valvular diseases; however, determining optimal exercise intensity remains challenging, particularly in patients with physical disorders. Methods and results A total of 94 patients scheduled for ESE were enrolled in the study. Physical capability was assessed using the five times sit-to-stand test (5-STS), Clinical Frailty Scale, acronyms of the five components, namely strength, assistance with walking, rising from a chair, climbing stairs, and falls (SARC-F) questionnaire, grip strength test, and bioelectrical impedance analysis. In the derivation cohort (n = 43), we determined the 5-STS cut-off value to achieving a 25 W load. The effectiveness of this cut-off value was prospectively evaluated in a validation cohort (n = 51). In the derivation cohort, the 5-STS predicted achieving a 25 W load using a cut-off of 11.7 s with 91% sensitivity and 70% specificity. In the validation cohort, using 12.0 s as the cut-off demonstrated 98% sensitivity and 88% specificity. The multivariate analysis identified age, sex (female), brain natriuretic peptide, SARC-F, and 5-STS as independent predictors of maximum achieved load. In a multivariate model including bioelectrical impedance parameters, lower limb muscle mass independently influenced maximum achievable load, regardless of age. Patients with optimized 5-STS-based load selection achieved significantly higher peak heart rates and maximum loads than those without. Conclusion Sarcopenia-related indices, particularly the 5-STS, effectively and simply predicted achievable exercise intensity during ESE, independent of age and sex. The use of these indices to determine the initial load may help optimize ESE protocols for individual patients.