ArticleBMC complementary and alternative medicine2016
Validation of a new simple scale to measure symptoms in heart failure from traditional Chinese medicine view: a cross-sectional questionnaire study.
Article in BMC complementary and alternative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Effectiveness of a PRECEDE-based education intervention on quality of life in elderly patients with chronic heart failure.BMC cardiovascular disorders · 2017Trial
- Assessing the diversity and determinants of health-related quality of life measures in patients with acute heart failure.ESC heart failure · 2024Article
- Disease-related compound identification based on deeping learning method.Scientific reports · 2022Article
- Yang-xin-xue keli exerts therapeutic effectsFrontiers in pharmacology · 2022Article
- Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: systematic review on measurement properties.Integrative medicine research · 2021Review
- Association of long-chain non-coding RNA MHRT gene single nucleotide polymorphism with risk and prognosis of chronic heart failure.Medicine · 2020Article
- Mapping the Minnesota living with heart failure questionnaire (MLHFQ) to EQ-5D-5L in patients with heart failure.Health and quality of life outcomes · 2020Article
- A scoping review and mapping exercise comparing the content of patient-reported outcome measures (PROMs) across heart disease-specific scales.Journal of patient-reported outcomes · 2020Article
- Study on the Differences between Traditional Chinese Medicine Syndromes in NYHA I-IV Classification of Chronic Heart Failure.Evidence-based complementary and alternative medicine : eCAM · 2019Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrent 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.
methodsThe 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.
resultsThe 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.
conclusionsThe 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.
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