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慢性胃炎中医湿证证候诊断标准研究
引用本文:王忆勤,郎庆波,李果刚,何新慧,何建成,颜新,庄燕鸿,叶进,郭永洁,陆雄,李福凤,赵立宇,燕海霞,徐贵华,王惠芳.慢性胃炎中医湿证证候诊断标准研究[J].中国中西医结合杂志,2005,25(11):975-979.
作者姓名:王忆勤  郎庆波  李果刚  何新慧  何建成  颜新  庄燕鸿  叶进  郭永洁  陆雄  李福凤  赵立宇  燕海霞  徐贵华  王惠芳
作者单位:上海中医药大学基础医学院,上海,201203
基金项目:国家中医药管理局重点实验室基金,上海市科委资助项目
摘    要:目的 以中医诊断学辨证要素为基础,结合多元数理统计方法,完善传统的慢性胃炎中医湿证宏观辨证标准,探讨建立中医证候辨证标准的方法和手段.方法 运用临床流行病学方法对慢性胃炎患者进行临床流行病学调查.结果 (1)对确立脾胃湿热证有意义的症状排序为:舌红苔黄、苔腻、口黏腻、小便黄、大便秘或干结、面色红、肢体困重.(2)对确立脾虚湿阻证有意义的症状排序为:苔腻、口黏腻、小便黄、胖大舌、齿痕舌、口淡、纳少.结论 通过中医学理论与多元统计方法的结合可筛选出对中医湿证诊断有意义的辨证要素.

关 键 词:慢性胃炎  湿证  辨证标准  临床流行病学调查  多元统计
收稿时间:2005-01-08
修稿时间:2005-07-20

Study on Diagnostic Standard for Dampness Syndrome in Patients with Chronic Gastritis
Authors:WANG Yi-qin  LANG Qing-bo  LI Guo-gang
Institution:Shanghai University of Traditional Chinese Medicine, Shanghai ,201203
Abstract:ObjectiveTo consummate the standard of macroscopic syndrome differentiation for diagnosis of dampness syndrome in patients with chronic gastritis (CG), based on the essentials of syndrome differentiation in TCM diagnostics and combined with the multivariant mathematical statistic method. And try to find out the methods and approaches for establishing standard for TCM syndrome differentiation. MethodsClinical investigation on CG patients was carried out adopting clinical epidemiological method.ResultsThe meaningful symptoms formaking diagnosis of Pi-Wei damp-heat syndrome in frequency order, were red tongue with yellow and greasy fur, sticky and greasy sensation in mouth, brown urine, constipation, dry stool, flushed face and ponderous extremities. Those for Pi deficiency with damp retention syndrome were swollen tongue with teeth-print, greasyfur, sticky and greasy sensation in mouth, tastelessness, and poor appetite. Conclusion By combining the integrative medical theory with multivariant statistic method, the meaningful essentials for diagnosis of dampness syndrome can be screened out.
Keywords:chronic gastritis  dampness syndrome  standard for syndrome differentiation  clinical epidemiological investigation  multivariant statistics
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