File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Validation of evidence-based questionnaire for TCM syndrome differentiation of heart failure and evaluation of expert consensus

TitleValidation of evidence-based questionnaire for TCM syndrome differentiation of heart failure and evaluation of expert consensus
Authors
KeywordsEvidence-based questionnaire
Expert consensus
Heart failure
Syndrome differentiation
Syndrome element
TCM syndromes
Tongue analysis
Traditional Chinese Medicine
Issue Date9-Jun-2023
PublisherBioMed Central
Citation
Chinese Medicine, 2023, v. 18, n. 1 How to Cite?
Abstract

Background

Traditional Chinese Medicine (TCM) is widely used to treat heart failure (HF). Syndrome differentiation is a unique and crucial component in TCM practice for guiding disease diagnosis and treatment strategies as well as clinical research. The major bottlenecks in TCM syndrome differentiation are the diversity of the syndrome differentiation criteria and the broad spectrum of syndrome patterns, hindering evidence-based studies for clinical research. In the present study, we aim to develop an evidence-based questionnaire for the diagnosis of HF and establish a definitive set of criteria for syndrome differentiation.

Methods

We designed a TCM syndrome differentiation questionnaire for heart failure (SDQHF) based on the "TCM expert consensus for diagnosis and treatment of heart failure" (expert consensus), literature review, and various clinical guidelines. To test the reliability and efficiency of the questionnaire, we performed a large-scale multiple-center clinical trial with the recruitment of 661 HF patients. Cronbach's alpha was used to assess the internal consistency of the SDQHF. Content validity was conducted through expert review. Principal component analysis (PCA) was applied to evaluate the construct validity. We constructed a proposed model for syndrome differentiation for HF based on the PCA results. Tongue analysis was performed to verify the accuracy of syndromes derived from the proposed model and the expert consensus. An evidence-based practical questionnaire for TCM syndrome differentiation patients was developed and validated with the data from 661 HF patients.

Results

The syndrome differentiation criteria were constructed with five syndrome elements (qi-deficiency, yang-deficiency, yin-deficiency, blood stasis, and phlegm retention). The results revealed good convergent and discriminant validity, satisfactory internal consistency, and feasibility. The significant discoveries include: (1) A total of 91% of the derived TCM syndromes from the proposed model matched with the characterized tongue images of the syndrome patterns; (2) Qi Deficiency Syndrome is the dominant syndrome pattern for HF patients, followed by Yang-Qi Deficiency Syndrome and Qi-yin deficiency Syndrome, and finally, Yin-Yang Dual Deficiency Syndrome; (3) The majority of the HF patients had the combination of Blood Stasis and Phlegm Retention Syndromes; (4) The "Yin-Yang Dual Deficiency" Syndrome was a valid syndrome for HF, suggesting that this syndrome pattern should be included in the criteria for syndrome differentiation; and (5) Through the validation of the expert consensus, several recommendations were proposed to improve the accuracy of syndrome differentiation of HF.

Conclusions

The proposed SDQHF and the criteria could be a reliable and valid tool for syndrome differentiation of heart failure with high accuracy. It is recommended to use the proposed model for evidence-based study on Chinese Medicine to diagnose and treat HF.


Persistent Identifierhttp://hdl.handle.net/10722/339708
ISSN
2021 Impact Factor: 4.546
2020 SCImago Journal Rankings: 0.972

 

DC FieldValueLanguage
dc.contributor.authorLeung, AYL-
dc.contributor.authorZhang, J-
dc.contributor.authorChan, CY-
dc.contributor.authorChen, X-
dc.contributor.authorMao, J-
dc.contributor.authorJia, Z-
dc.contributor.authorLi, X-
dc.contributor.authorShen, J-
dc.date.accessioned2024-03-11T10:38:45Z-
dc.date.available2024-03-11T10:38:45Z-
dc.date.issued2023-06-09-
dc.identifier.citationChinese Medicine, 2023, v. 18, n. 1-
dc.identifier.issn1749-8546-
dc.identifier.urihttp://hdl.handle.net/10722/339708-
dc.description.abstract<h3>Background</h3><p>Traditional Chinese Medicine (TCM) is widely used to treat heart failure (HF). Syndrome differentiation is a unique and crucial component in TCM practice for guiding disease diagnosis and treatment strategies as well as clinical research. The major bottlenecks in TCM syndrome differentiation are the diversity of the syndrome differentiation criteria and the broad spectrum of syndrome patterns, hindering evidence-based studies for clinical research. In the present study, we aim to develop an evidence-based questionnaire for the diagnosis of HF and establish a definitive set of criteria for syndrome differentiation.</p><h3>Methods</h3><p>We designed a TCM syndrome differentiation questionnaire for heart failure (SDQHF) based on the "TCM expert consensus for diagnosis and treatment of heart failure" (expert consensus), literature review, and various clinical guidelines. To test the reliability and efficiency of the questionnaire, we performed a large-scale multiple-center clinical trial with the recruitment of 661 HF patients. Cronbach's alpha was used to assess the internal consistency of the SDQHF. Content validity was conducted through expert review. Principal component analysis (PCA) was applied to evaluate the construct validity. We constructed a proposed model for syndrome differentiation for HF based on the PCA results. Tongue analysis was performed to verify the accuracy of syndromes derived from the proposed model and the expert consensus. An evidence-based practical questionnaire for TCM syndrome differentiation patients was developed and validated with the data from 661 HF patients.</p><h3>Results</h3><p>The syndrome differentiation criteria were constructed with five syndrome elements (qi-deficiency, yang-deficiency, yin-deficiency, blood stasis, and phlegm retention). The results revealed good convergent and discriminant validity, satisfactory internal consistency, and feasibility. The significant discoveries include: (1) A total of 91% of the derived TCM syndromes from the proposed model matched with the characterized tongue images of the syndrome patterns; (2) Qi Deficiency Syndrome is the dominant syndrome pattern for HF patients, followed by Yang-Qi Deficiency Syndrome and Qi-yin deficiency Syndrome, and finally, Yin-Yang Dual Deficiency Syndrome; (3) The majority of the HF patients had the combination of Blood Stasis and Phlegm Retention Syndromes; (4) The "Yin-Yang Dual Deficiency" Syndrome was a valid syndrome for HF, suggesting that this syndrome pattern should be included in the criteria for syndrome differentiation; and (5) Through the validation of the expert consensus, several recommendations were proposed to improve the accuracy of syndrome differentiation of HF.</p><h3>Conclusions</h3><p>The proposed SDQHF and the criteria could be a reliable and valid tool for syndrome differentiation of heart failure with high accuracy. It is recommended to use the proposed model for evidence-based study on Chinese Medicine to diagnose and treat HF.</p>-
dc.languageeng-
dc.publisherBioMed Central-
dc.relation.ispartofChinese Medicine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectEvidence-based questionnaire-
dc.subjectExpert consensus-
dc.subjectHeart failure-
dc.subjectSyndrome differentiation-
dc.subjectSyndrome element-
dc.subjectTCM syndromes-
dc.subjectTongue analysis-
dc.subjectTraditional Chinese Medicine-
dc.titleValidation of evidence-based questionnaire for TCM syndrome differentiation of heart failure and evaluation of expert consensus-
dc.typeArticle-
dc.identifier.doi10.1186/s13020-023-00757-1-
dc.identifier.scopuseid_2-s2.0-85163087227-
dc.identifier.volume18-
dc.identifier.issue1-
dc.identifier.eissn1749-8546-
dc.identifier.issnl1749-8546-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats