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作 者:万廷信 戴恩来[2] 王文革[3] 刘天喜[4] 李银霞 路新强 徐成亮 陈明 杨百泉
机构地区:[1]甘肃省武威市人民医院,武威733000 [2]甘肃省中医学院,兰州730000 [3]兰州大学第二医院,兰州730030 [4]兰州大学第一医院,兰州730000 [5]甘肃省武威市凉州医院,武威733000
出 处:《中华中医药杂志》2014年第12期3988-3991,共4页China Journal of Traditional Chinese Medicine and Pharmacy
基 金:甘肃卫生行业科研计划项目(No.GSWST2010-12);甘肃省中医药科学技术研究课题(No.GZK-2012-54)~~
摘 要:目的:探索免疫球蛋白A(Ig A)肾病中医证候分布规律及其与微观表现的关系。方法:采用前瞻性研究方法,多中心收集Ig A肾病患者354例中医四诊、体格检查、实验室检查及肾脏病理资料,应用频数分析、因子分析、聚类分析等统计学方法,依据因子综合得分判别患者证候归属,分析中医证候分布情况及宏观微观信息构成。结果:宏观信息出现频率最高的为肢倦乏力,占86.16%;实验室检测结果异常信息出现频率最高者为尿潜血≥3+,占53.39%,其次为尿蛋白1.0-3.5g/d;病理信息出现频率最高的为系膜细胞增生(M1),占66.95%,其次为节段肾小球硬化/粘连(S1)与细胞和细胞纤维新月体。常见的中医证候类型5个,气阴两虚湿热证比例最高(29.7%)、其后依次为肝肾阴虚证、脾肾阳虚瘀血证、脾气虚痰湿证及肺气虚风热证(P<0.01)。微观信息在5类中医证候类型中的构成分布各有侧重。结论:Ig A肾病中医证候分布具有一定规律,证候分布与微观信息具有一定相关性,证候的微观信息构成对Ig A肾病中医微观辨证具有参考意义。Objective: To explore traditional Chinese medicine (TCM) syndrome distribution of IgA nephropathy and its relationship with microcosmic index. Methods: A prospective study was used to Collect data on information for the four diagnostic methods in TCM, physical examination, laboratory examination and renal pathology data in multi clinical centers: The methods of frequency analysis, factor analysis and cluster analysis were used to analyze the TCM syndrome distribution and microcosmic index of IgA nephropathy. TCM syndrome distribution was discriminated according to factors scores. Results: The highest frequency of the macro information was limb weakness, accounted for 86.16%. The highest frequency in laboratory testing was ERY (≥3+), accounted for 53.39%, followed by urinary protein 1.0-3.5g/d. The highest frequency of pathological information was mesangial cell hyperplasia (M1), accounted for 66.95%, and followed by segmental glomerular sclerosis/adhesion (S1) and cell/fiber crescents, The common TCM syndromes were divided into 5 types, the highest percentage was qi-yin deficiency and damp-heat syndrome (29.7%), followed by liver and kidney-yin deficiency syndrome, spleen and kidney-yang deficiency and blood stasis syndrome, spleen-qi deficiency and phlegm dampness syndrome, and lung-qi deficiency and wind-heat syndrome (P〈0.01). The microcosmic information was different distribution in 5 TCM syndrome types. Conclusion: There is Some regularity in TCM syndrome distribution, and TCM syndrome distribution has some relationship with microcosmic information in IgA nephropathy. The distribution of microcosmic information in TCM syndrome would provide some references for TCM microcosmic syndrome differentiation of IgA nephropathy.
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