1.河南中医药大学第一附属医院,河南省郑州市金水区人民路19号,45000
2.河南中医药大学 第一临床医学院/呼吸疾病中医药防治省部共建协同创新中心/河南省中医药防治呼吸病重点实验室
zhiwan_w@163.com
收稿:2024-08-09,
修回:2025-01-15,
纸质出版:2025-04-02
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李伟珂,伊明洋,倪园园等.基于潜在类别结合隐结构模型的慢性阻塞性肺疾病肺气虚证分级量化诊断研究[J].中医杂志,2025,66(07):710-716.
LI Weike,YI Mingyang,NI Yuanyuan,et al.Study on Graded Quantitative Diagnosis of Lung Qi Deficiency Syndrome in Chronic Obstructive Pulmonary Disease Based on Latent Class Analysis Combined with Hidden Structure Model[J].Journal of Traditional Chinese Medicine,2025,66(07):710-716.
李伟珂,伊明洋,倪园园等.基于潜在类别结合隐结构模型的慢性阻塞性肺疾病肺气虚证分级量化诊断研究[J].中医杂志,2025,66(07):710-716. DOI: 10.13288/j.11-2166/r.2025.07.010.
LI Weike,YI Mingyang,NI Yuanyuan,et al.Study on Graded Quantitative Diagnosis of Lung Qi Deficiency Syndrome in Chronic Obstructive Pulmonary Disease Based on Latent Class Analysis Combined with Hidden Structure Model[J].Journal of Traditional Chinese Medicine,2025,66(07):710-716. DOI: 10.13288/j.11-2166/r.2025.07.010.
目的
2
基于潜在类别结合隐结构模型明确慢性阻塞性肺疾病(COPD)肺气虚证的分级量化诊断特征。
方法
2
采集745例COPD肺气虚证患者中医四诊信息等临床资料,应用R 4.1.2软件建立潜在类别模型,通过概率参数化、参数估计与模型拟合等过程明确每位患者所属的轻、中、重度三类肺气虚证程度类别,构建轻、中、重度不同分级肺气虚证数据库。在此基础上采用Lantern 5.0软件,构建轻、中、重度不同分级肺气虚证隐结构模型,通过综合聚类并建立辨证规则。
结果
2
选择频率>10%的28个症状、体征构建潜在类别模型,综合中医理论以及模型简洁程度等因素,最终判定潜在类别数为3时为最优模型,根据潜类别模型的条件概率将肺气虚证划分为轻度(298例)、中度(164例)、重度(283例)。分别构建轻、中、重度肺气虚证隐结构模型并进行综合聚类,建立辨证规则;对轻、中度肺气虚证辨证规则的共性症状比较,各症状的辨证赋值及诊断权重差异均无统计学意义(
P
>0.05),因此将轻、中度肺气虚证患者作为整体进行分析,构建轻中度肺气虚证辨证规则。轻中度肺气虚证量化诊断赋值与权重:气短(赋值、诊断权重:9.3,86.92%)、动则喘甚(8.2,76.64%)、少气懒言(6.7,62.62%)、纳呆(4.0,37.38%)、便溏(4.0,37.38%)、咳声无力(2.9,27.10%)、喘息(2.3,21.50%)、乏力(1.8,16.82%)、自汗(1.7,15.89%)、易感冒(1.6,14.95%)、舌体胖(1.4,13.08%)、舌边有齿痕(1.2,11.21%)、脉沉(1.6,14.95%),诊断阈值为10.3。重度肺气虚证量化诊断:咳声无力(15.1,61.13%)、腰膝酸软(12.6,51.01%)、气短(11.1,44.94%)、少气懒言(8.3,33.60%)、夜尿多(6.1,24.70%)、自汗(3.7,14.98%)、易感冒(3.5,14.17%)、舌边有齿痕(7.8,31.58%)、舌质淡(1.9,7.69%)、舌苔白(5.5,22.27%)、脉细(1.5,6.07%),诊断阈值为23.7。
结论
2
采用潜在类别结合隐结构模型明确了肺气虚证分级量化的诊断特征,可为其他基础证候量化诊断研究提供借鉴。
Objective
2
To clarify the graded quantitative diagnostic characteristics of lung
qi
deficiency syndrome in chronic obstructive pulmonary disease (COPD) based on latent class analysis combined with a hidden structure model.
Methods
2
Clinical data, including the four diagnostic methods of traditional Chinese medicine (TCM), were collected from 745 COPD patients with lung
qi
deficiency syndrome. Latent class modeling was performed using R 4.1.2 software, and each patient was classified into one of three severity categories (mild, moderate, or severe) based on probabilist
ic parameterization, parameter estimation, and model fitting. A database was established for different severity levels of lung
qi
deficiency syndrome. Based on this, Lantern 5.0 software was used to construct hidden structure models for mild, moderate, and severe lung
qi
deficiency syndrome, and syndrome differentiation rules were developed through comprehensive clustering.
Results
2
A latent class model was constructed using 28 symptoms and signs with a frequency greater than 10%. Considering TCM theory and model simplicity, the optimal model was determined when the number of latent classes was three, categorizing lung
qi
deficiency syndrome into mild (298 cases), moderate (164 cases), and severe (283 cases). Hidden structure models were separately developed for each severity level, and syndrome differentiation rules were established. A comparison of common symptoms in the syndrome differentiation rules for mild and moderate lung
qi
deficiency syndrome showed no statistically significant differences in diagnostic values and weights (
P
>0.05), leading to their combined analysis and the development of a unified syndrome differentiation rule. Value and weight of quantitative diagnosis of mild-to-moderate lung
qi
deficiency syndrome were as followed: shortness of breath (diagnostic value 9.3, diagnostic weight 86.92%), dyspnea on exertion (8.2, 76.64%), low voice and reluctance to speak (6.7, 62.62%), poor appetite (4.0, 37.38%), loose stools (4.0, 37.38%), weak cough sound (2.9, 27.10%), wheezing (2.3, 21.50%), fatigue (1.8, 16.82%), spontaneous sweating (1.7, 15.89%), susceptibility to colds (1.6, 14.95%), swollen tongue (1.4, 13.08%), teeth marks on the tongue edge (1.2, 11.21%), deep pulse (1.6, 14.95%), with a diagnostic threshold of 10.3. Value and weight of quantitative diagnosis of severe lung
qi
deficiency syndrome were as followed: weak cough sound (15.1, 61.13%
), soreness and weakness of the waist and knees (12.6, 51.01%), shortness of breath (11.1, 44.94%), low voice and reluctance to speak (8.3, 33.60%), frequent nocturia (6.1, 24.70%), spontaneous sweating (3.7, 14.98%), susceptibility to colds (3.5, 14.17%), teeth marks on the tongue edge (7.8, 31.58%), pale tongue body (1.9, 7.69%), white tongue coating (5.5, 22.27%), thin pulse (1.5, 6.07%), with a diagnostic threshold of 23.7.
Conclusion
2
The combination of latent class analysis and a hideen structure model effectively clarified the graded quantitative diagnostic characteristics of lung
qi
deficiency syndrome, providing a reference for the quantitative diagnosis of other fundamental syndromes in TCM.
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