摘要
目的:运用Logistic回归分析探讨中医《伤寒论》中厥阴寒厥患者红外热图特征,确定该病的红外热成像模型。方法:回顾性选取2021年7月-8月期间就诊于柳州市中医医院治未病中心及体检中心的330人为研究对象,根据四诊合参将研究对象分为厥阴寒厥组和非寒厥组。基于西医结构学理论和中医学理论确定定位方法,将研究对象划定红外中医身体区域分界并命名,测量区域内温度值以定量分析。综合运用线性、非线性数据处理方法,构建厥阴寒厥证的医用红外诊断模型,分析厥阴寒厥证的主要影响因素,评价厥阴寒厥证的医用红外诊断模型的预测能力。结果:(1)采用斯皮尔曼相关系数法探究各身体表面温度变量与厥阴寒厥证的相关关系,发现厥阴寒厥证和“双手掌-督脉”“双手掌-大椎穴”“双手掌-双胁肋”“双脚面-督脉”“双脚面-大椎穴”“双脚面-双胁肋”“双腋窝-双手掌”“双腋窝-双脚面”“脸部-双手掌”“脸部-双脚面”的温度相关性较高;之后运用多因素间共线性分析,得出“双腋窝-双手掌”和“双腋窝-双脚面”这两组自变量是其中的关键因素;(2)以“双腋窝-双手掌”和“双腋窝-双脚面”为主要影响因素,建立的二元Logistic逐步回归模型,训练样本准确率为88.5%,预测样本诊断准确率为100%,准确率较高。结论:医用红外热成像技术能客观诊断厥阴寒厥证,丰富中医诊断的方式,同时也能为中医的诊断体系提供一些科研思路。
Objective:The characteristics of infrared thermography in patients with Jueyin(厥阴)cold syncope syndrome in Shanghan Lun(《伤寒论》)was analyzed by Logistic regression analysis,in order to determine the infrared thermal imaging model of the disease.Methods:A total of 330 cases who visited the treatment center and physical examination center of Liuzhou Hospital of traditional Chinese medicine from July to August 2021 were retrospectively selected as study objects,and were divided into the Jueyin cold syncope group and non-cold Jueyin group.Based on the structural theory of Western medicine and the theory of traditional Chinese medicine(TCM),the positioning method was determined.The boundary of infrared TCM body region of the study objects was delimited and named,and the temperature value in the region was measured for a quantitative analysis.Through the linear and nonlinear data processing methods,the medical infrared diagnostic model of Jueyin cold syncope syndrome was established,and the main influencing factors of the syndrome were analyzed,so as to evaluate the predictive ability of the medical infrared diagnostic model for Jueyin cold syncope syndrome.Results:(1)The Spearman correlation coefficient method was used to explore the correlation between body surface temperature variables and Jueyin cold syncope syndrome,it was found that there was a high temperature correlation between Jueyin cold syncope syndrome and palms-Du channel(督脉),palms-great vertebra,palms-double lateral thorax,insteps-Du channel,insteps-great vertebra,insteps-double lateral thorax,axillas-palms,axillas-insteps,face-palms,face-insteps,etc..After the use of multi-factor analysis of collinearity,it was concluded that the two groups of independent variables of axillas-palms,axillas-insteps were the key factors.(2)The binary Logistic stepwise regression model with axillas-palms and axillas-insteps as the main influencing factors showed that the accuracy rate of training samples was 88.5%,and the diagnostic accuracy rate of predict
出处
《中医临床研究》
2024年第13期102-108,共7页
Clinical Journal Of Chinese Medicine
基金
广西科技大学校级课题:红外热成像技术在代谢性相关性脂肪肝病的治未病诊疗模式中的应用(2021MS049)
广西中管局自筹课题:代谢相关脂肪性肝病的中医医用红外热成像模型构建(CXZYZ20210190)。
关键词
LOGISTIC回归分析
伤寒厥阴寒厥证
医用红外热成像技术
Logistic regression analysis
Typhoid fever of the Jueyin cold syncope syndrome
Medical infrared thermal imaging technology
