Validation of a new simple scale to measure symptoms in heart failure from traditional Chinese medicine view: a cross-sectional questionnaire study.

BACKGROUND: Current clinical practices used to functionally classify heart failure (HF) are time-consuming, expensive, or require complex calculations. This study aimed to design an inquiry list from the perspective of traditional Chinese medicine (TCM) that could be used in routine clinical practice to resolve these problems. METHODS: The severity of documented HF in 115 patients was classified according to their performance in maximal exercise tests into New York Heart Association (NYHA) functional classification (FC) II or NYHA FC III. Concomitantly, the patients were assessed using the new TCM inquiry list and two validated quality of life questionnaires, namely, the Short Form 36 (SF-36) generic scale and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Factor analysis was applied to extract the core factors from the responses to the items in TCM inquiry list; logistic regression analysis was then used to predict the severity of HF according to the extracted factors. RESULTS: The TCM inquiry list showed moderate levels of correlation with the physical and emotional components of the SF-36 and the MLHFQ, and predicted the functional class of HF patients reliably using logistic regression analysis, with a correct prediction rate with 64.3 %. Factor analysis of the TCM inquiry list extracted five core factors, namely, Qi Depression, Heart Qi Vacuity and Blood Stasis, Heart Blood Vacuity, Dual Qi-Blood Vacuity, and Yang Vacuity, from the list, which aligned with the perspective of TCM as it relates to the pattern of HF. The correct prediction rate rose to 70.4 % when Dual Qi-Blood Vacuity was combined with the MLHFQ. The excessive false-negative rate is a problem associated with the TCM inquiry list. CONCLUSIONS: The TCM inquiry list is a simple scale and similar to patient-reported subjective measures of quality of life in HF, and may help to classify patients into NYHA FC II or NYHA FC III. Factor 4 addresses dizziness, dizzy vision and general weakness, which are critical parameters that distinguish between NYHA FC II and NYHA FC III. Incorporating these three items into the management of HF may help to classify patients from a functional perspective.

Factors Associated With Participation Rate and Predictive of Improvement After Cardiac Rehabilitation in Patients With Heart Failure.

PURPOSE: Patients with heart failure (HF) are often limited in their ability to perform exercise. Cardiac rehabilitation (CR) improves aerobic capacity and quality of life (QOL) and is recommended for patients with clinically stable HF; however, it is underutilized. The aim of this study was to investigate the factors associated with participation and completion rates and predictive of improvement after phase II CR in patients with HF. METHODS: Participation and completion rates were calculated for all patients with HF enrolled in a multidisciplinary management program from October 2008 to December 2018. Functional capacity and QOL were estimated. In patients undergoing CR, changes in peak oxygen uptake (V˙ o2peak ) were measured. RESULTS: Of 662 patients enrolled, 448 (68%) completed the cardiopulmonary exercise test (CPX). Phase II CR was recommended in 411 patients, of whom 291 (71%) participated in CR. Participation was significantly related to sex and the time interval in days between hospital discharge and the CPX. Overall, 171 patients completed 36 sessions of CR (with a completion rate of 59%). During CR, there were 18 (6%) adverse events. Cardiac rehabilitation was associated with improvement in V˙ o2peak from 1153 ± 393 to 1342 ± 470 mL/min (a 16% improvement; P < .001) and in QOL. The independent predictors of increase in V˙ o2peak included sex, age, diabetes mellitus, and entry V˙ o2peak . CONCLUSIONS: In patients with HF, factors associated with CR participation rate included sex and days between hospital discharge and the CPX. Participation in CR improved V˙ o2peak and QOL. The improvement was related to male sex, younger age, no diabetes mellitus, and higher entry V˙ o2peak .