HE Wei1, GUO Shuren3, LIU Pinglan3, et al. Latent Structure Model Evaluation on Pattern Factor Characteristics in Mixed Hyperlipidemia[J]. Journal of Traditional Chinese Medicine2013, 54(14): 1217-1220.
HE Wei1, GUO Shuren3, LIU Pinglan3, et al. Latent Structure Model Evaluation on Pattern Factor Characteristics in Mixed Hyperlipidemia[J]. Journal of Traditional Chinese Medicine2013, 54(14): 1217-1220.DOI: 10.13288/j.11-2166/r.2013.14.028.
Objective To evaluate the pattern factor characteristics of mixed hyperlipidemia with latent structure model. Methods The symptom items of dyslipidemia were screened by experienced clinical experts based on guideline and literature. The implicit tree structure in 634 cases of mixed hyperlipidemia was established with latent structure model. The symptom or pattern quantitative data such as hidden category probability
conditional probability
mutual information and accumulated information coverage was analyzed. The pattern factor characteristics of mixed hyperlipidemia were analyzed with manual interpretation method. Results The implicit tree structure in 634 cases of mixed hyperlipidemia was established with 41 symptoms as significant variables. There were 2 hidden categories in 634 cases of mixed hyperlipidemia. The probability value of Y0=S0 and Y0=S1 was P=0.41 and P=0.59 respectively. The moderate to severe symptom or pattern was shown in 634 cases of mixed hyperlipidemia. The top 3 symptoms that mutual information associated with Y0 from big to small were upset (0.19)
irritable (0.12) and backache (0.12). The common pattern factors of mixed hyperlipidemia were qi deficiency
qi stagnation
fire heat and yin deficiency
especially yin deficiency. The common pattern factor targets were heart
liver and kidney. Conclusion The mixed hyperlipidemia manifests as moderate to severe symptom or pattern. The common pattern factors of mixed hyperlipidemia are qi deficiency
qi stagnation
fire heat and yin deficiency. The result of pattern factor characteristics of mixed hyperlipidemia with latent structure model is consistent with traditional understanding of Chinese medicine.