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基于因子分析和聚类分析的重症加强护理病房患者谵妄的证候研究 被引量:3

Study on syndromes of delirium in ICU patients with critical illness based on factor analysis and cluster analysis
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摘要 目的分析重症加强护理病房重症患者谵妄的中医证候特点。方法采用回顾性研究方法,收集192例患者,采集纳入病历资料的中医四诊信息,根据症状的出现率筛选出37个四诊信息,运用因子分析和聚类分析进行统计。结果经因子分析共提取12个公因子,累计贡献率为64.01%,经分析涉及病性类证候要素为气脱、痰湿、火热、阴虚、阳虚、血瘀、气虚、血虚、气滞;病位类证素为肺、脾、肾、心、肝。经聚类分析共得出7类证候:气脱、痰热扰神、阳虚痰湿、心脉瘀阻、阴虚痰热、痰瘀阻窍、气血两虚。结论利用因子分析和聚类分析在一定程度上揭示了重症谵妄中医证候的分布特点。 Objective To analyze the characteristics of TCM syndrome of delirium in ICU patients with critical illness.Methods Retrospective study method was used to collect 192 patients,and the information of TCM four diagnoses included in medical records was collected.According to the occurrence rate of symptoms,37 information of four diagnoses were screened and analyzed by factor analysis and cluster analysis.Results 12 common factors were extracted by the factor analysis,and the cumulative contribution rate was 64.01%.Through analysis,the disease nature syndrome element are qi debilitating,phlegm dampness,fire heat,yin deficiency,yang deficiency,blood stasis,qi deficiency,blood deficiency and qi stagnation.The disease’s location syndrome elements are lung,spleen,kidney,heart and liver.By cluster analysis,7 syndromes were obtained,including qi debilitation,phlegm-heat disturbing mind,yang deficiency and phlegm dampness,blockade of heart vessel,yin deficiency and phlegm-heat,phlegm and blood stasis blocking orifices,deficiency both qi and blood.Conclusion Factor analysis and cluster analysis were used to reveal the distribution characteristics of delirium of TCM critical illness at a certain degree.
作者 于淼 郭蓉娟 王志程 吴疆 张莉莉 刘欣 江其敏 徐红日 YU Miao;GUO Rongjuan;WANG Zhicheng;WU Jiang;ZHANG Lili;LIU Xin;JIANG Qimin;XU Hongri(Department of ICU,Beijing University of Chinese Medicine Third Affiliated Hospital,Beijing 100029,China)
出处 《环球中医药》 CAS 2021年第5期830-834,共5页 Global Traditional Chinese Medicine
基金 北京中医药大学青年教师项目(2018-JYBZZ-JS184)。
关键词 重症 谵妄 因子分析 聚类分析 证候 重症相关性谵妄 Critical illness Delirium Factor analysis Cluster analysis Syndrome
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