Quantitative Diagnosis Research of Dampness-Heat Syndrome with Diabetic Coronary Heart Disease
Objective To establish quantitative diagnostic criteria for the dampness-heat syndrome with diabetic coronary heart disease,providing a basis for clinical practice and syndrome diagnosis.Methods By searching various literature databases,including China CNKI,Wanfang data,VIP database,and China biomedical literature service system(SinoMed),as well as supplementing with standard publications and monographs in book form,relevant to the dampness-heat syndrome with diabetic coronary heart disease.Literature was extracted and analyzed to establish a pool of symptom entries.A Delphi questionnaire was constructed to conduct expert surveys using the Delphi method,selecting key items for the diagnosis of diabetic coronary heart disease and determining their weight values.The multicenter cross-sectional survey was conducted,to determine the diagnostic threshold using diagnostic tests.Results A total of 24 articles were included,and after extracting,splitting,and merging terms,a symptom item pool containing 52 symptoms and 13 tongue-pulse manifestations was established.After two rounds of Delphi expert surveys,17 core items were determined,and different average ranges were assigned weights of 3,2,and 1 points.Clinical data of 376 patients with diabetic coronary heart disease were collected from hospitals in Guangdong and Shaanxi provinces.By calculating the Youden index,a diagnostic threshold of 16 points was determined as the optimal cutoff value for this standard,with a sensitivity of 0.809,specificity of 0.958,and an area under the receiver operating characteristic curve(ROC)of 0.943.Conclusion This study established the first quantitative diagnostic standard for the dampness-heat syndrome with diabetic coronary heart disease.It provided a basis for the clinical diagnosis of this syndrome and the development process had reference significance for the traditional Chinese medicine syndrome specification.
Diabetic coronary heart diseaseDampness-heat syndromeDiagnostic criteriaDelphi methodCross-sectional study
NETL
NSTL
万方数据
维普
