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基于五运六气理论建立肺系疾病列线图预测评分体系
引用本文:徐方易,苏颖,蔡佳丽,张乐,沈奡龙,王利锋. 基于五运六气理论建立肺系疾病列线图预测评分体系[J]. 中华中医药杂志, 2021, 0(1): 135-138
作者姓名:徐方易  苏颖  蔡佳丽  张乐  沈奡龙  王利锋
作者单位:长春中医药大学;长春中医药大学五运六气研究所
基金项目:吉林省中医药科技项目(No.2016047)。
摘    要:目的:研究人体出生、受孕时的运气禀赋对肺系疾病发病倾向的影响,探索依据先天运气禀赋预测人体罹患肺系疾病发作风险的列线图模型.方法:建立吉林省中医院2014年1月1日-2018年12月31日共5年间五脏病日入院患者的疾病资料数据库.其中患肺系疾病患者1400例,患非肺系疾病患者27 447例,从中随机抽取1 394例作为...

关 键 词:五运六气  禀赋  肺系疾病  列线图

Study on the establishment of nomogram predictive scoring system for lung diseases based on the five evolutive phases and six climatic factors
XU Fang-yi,SU Ying,CAI Jia-li,ZHANG Le,SHEN Ao-long,WANG Li-feng. Study on the establishment of nomogram predictive scoring system for lung diseases based on the five evolutive phases and six climatic factors[J]. China Journal of Traditional Chinese Medicine and Pharmacy, 2021, 0(1): 135-138
Authors:XU Fang-yi  SU Ying  CAI Jia-li  ZHANG Le  SHEN Ao-long  WANG Li-feng
Affiliation:(Changchun University of Chinese Medicine.Changchun 130117,China)
Abstract:Objective:To study the influence of five evolutive phases and six climatic factors endowment at birth and conception on the incidence tendency of lung diseases and explore a nomogram model for predicting the risk of lung diseases based on innate five evolutive phases and six climatic factors endowment.Methods:The disease data database of patients admitted to Jilin Provincial Hospital of Traditional Chinese Medicine from January 1,2014 to December 31,2018 was established.There were 1400 patients with lung diseases and 27447 patients with non-lung diseases,among which 1394 were randomly selected as the control group.The risk factor coefficients were obtained by Logistic regression method,and the nomogram model was established accordingly.Results:Ke-qi at birth,Zhu-qi at conception and Ke-qi at conception were independent risk factors for lung diseases(P<0.05).Conclusion:The nomogram model can be applied to predict lung diseases in Changchun,it can also predict the risk of lung diseases.
Keywords:Five evolutive phases and six climatic factors  Natural endowment  Lung diseases  Nomogram
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