ABSTRACT
ObjectiveTo explore the common syndromes of patients with cerebral infarction in rural areas of eastern Henan based on latent structure model and factor analysis，and provide reference for clinical differentiation of cerebral infarction. MethodThe data samples of patients with cerebral infarction in rural areas in eastern Henan were preprocessed. With Lantern 5.0 of latent structure method and LTM-EAST algorithm of two-step latent tree analysis， the manifest variable latent structure model of related symptoms was built to interpret different latent nodes， and common syndromes of cerebral infarction were obtained via comprehensive cluster analysis. SPSS 20.0 was used for factor analysis and cluster analysis of related symptoms to infer the distribution of syndrome types. ResultThe data of 888 patients with cerebral infarction were included， involving symptoms， tongue and pulse （88 in total）. The 65 symptoms with a frequency of ≥5% were constructed into a latent structure model， and 31 latent variables were obtained. The Bayesian information criterion （BIC） score was -15 367.17. Based on professional knowledge， s6 common syndrome types were found， namely， syndrome of upward disturbance of wind-fire， Qi deficiency and blood stasis syndrome， syndrome of phlegm and blood stasis blocking collaterals， syndrome of phlegm-heat and fu-organ excess， syndrome of wind phlegm obstructing collaterals， and syndrome of stirring wind due to yin deficiency. In factor analysis， the symptoms with a frequency of >10% were selected， and 13 common factors were obtained and used for systematic cluster analysis. And 5 syndrome types were inferred： syndrome of wind phlegm obstructing collaterals， syndrome of phlegm-heat and fu-organ excess， Qi deficiency and blood stasis syndrome， syndrome of combined phlegm and blood stasis， and syndrome of yin deficiency and internal heat. According to the determination criteria of syndrome types in traditional Chinese medicine （TCM）， 6 common syndrome types of cerebral infarction were finally determined. ConclusionAccording to the severity of the disease， the common syndromes of patients with cerebral infarction in rural areas of Eastern Henan were divided into the following categories： apoplexy involving channel and collateral： syndrome of upward disturbance of wind fire， syndrome of wind phlegm obstructing collaterals， and syndrome of stirring wind due to yin deficiency. Apoplexy involving zang and fu-viscera： syndrome of phlegm-heat and fu-organ excess， and syndrome of phlegm and blood stasis blocking collaterals. Recovery period： Qi deficiency and blood stasis syndrome. This study was basically consistent with the syndrome law in TCM theory， and provided reference for further establishing syndrome diagnostic criteria of cerebral infarction.
ABSTRACT
Objective:To explore the syndrome distribution of cough cases in ancient Chinese medical books. Method:A total of 9 323 cough cases in the database of lung diseases in ancient Chinese medical books were extracted. Lantern 5.0 was used to construct the latent structure model for the 100 manifest variables based on the first 50 symptoms and 50 Chinese herbal medicines， and different latent nodes were interpreted. The syndrome differentiation patterns of syndromes with symptoms and Chinese herbal medicine （formula） were quantitatively revealed by the comprehensive clustering weights of latent structure. The correlation of diseases with syndromes was fitted through the binary Logistic regression analysis. Result:There were 204 syndromes involved in 9 323 cough cases with 18 syndromes showing a frequency higher than 100. As demonstrated by the model established on the first 50 symptoms and 50 Chinese herbal medicines， 35 latent variables， 98 latent classes， and 10 comprehensive clustering models were obtained， where <italic>Z</italic>5<italic> </italic>was the highest in the threshold value （6.7）， <italic>Z</italic>6 in the information coverage of productive cough （52%）， and <italic>Z</italic>7 in the score （19）. The binary Logistic regression model fitted the correlation between different disease types and five syndromes， where the dominance ratio of external wind to the syndrome of wind-heat invading lung reaching up to 88.919， those of syndrome of phlegm-heat accumulating in lung to diseased heat and sputum 51.594 and 15.861， and those of the syndrome of phlegm-dampness obstructing lung to dampness， phlegm， and fluid retention 31.415， 34.370， and 4.936， respectively. Conclusion:The newly discovered cough syndromes included lung heat and yin deficiency， external cold and internal fluid retention， weakness of spleen and stomach， and phlegm and blood stasis in lung. In most cases， multiple syndromes were observed clinically， such as syndrome of deficiency of both Qi and Yin in lung combined with yin deficiency in lung and kidney. Since differentiation of traditional Chinese medicine （TCM） syndrome is subjective， the weight can indicate the difference in the contributions of different symptoms to the syndrome， which is of guiding significance for syndrome inference. The latent structure model combined with Logistic regression analysis can solve the problem of quantification in TCM syndrome differentiation and can be used to explore the syndrome distribution of diseases.
ABSTRACT
Objective:To explore cough cases recorded in ancient traditional Chinese medicine (TCM) books based on the Rules of Latent Structure Differentiation. Method:The 9 323 cough cases in the database of ancient TCM books and pulmonary diseases were extracted. At first, Lantern 5.0 software was used to construct the top 120 TCM hidden structure model with the frequency>100. Then, the obtained hidden variables were comprehensively clustered and interpreted. Result:The 46 hidden variables and 114 hidden classes were obtained through the modeling of 120 traditional Chinese medicines. According to the bayesian information measure (BIC) score, the model score was -161 242.92. The model diagram was formed with Y0, Y5, Y7, Y13, Y35 and Y38 as the cores, and Y36, Y38, Y24, Y19 and Y17 involved 4 hidden classes. Ten comprehensive clustering models were summarized according to the hidden structure flow chart, among which the highest score of Z5 external cold and internal decoction syndrome was 8.4, indicating that the result of syndrome differentiation rules of Z5 had a high degree of support, and the highest mutual information degree and information coverage of Pinellia sinensis were 0.31 and 63%. Z2 had a low score for the syndrome of deficiency of lung qi and Yin, which was -2， and Schisandra had the lowest score of -15, indicating that the syndrome differentiation rules of Z2 was less supportive. Forsythia and Notopterygium both had the highest score of Z6 wind-heat attack lung syndrome and Z10 phlegm and blood-stasis pulmonary syndrome, which was 19.1, indicating that these two TCMs had a great contribution to it. According to the test, the common syndromes of cough were cold and dryness attacking the lung, kidney-Yin deficiency, kidney-Yin deficiency of the lung, cold and internal decoction, wind heat invading the lung, liver fire invading the lung, lung heat burning, phlegm-dampness blocking the lung, phlegm-stasis blocking the lung. The newly discovered cough syndromes were external cold and internal rheum syndrome and phlegm-stasis blocking the lung syndrome. Conclusion:Based on the syndrome differentiation rules of hidden structure, the improved classification of cough syndromes provides ideas for the demonstration of tacit knowledge of TCM and methodological reference for the improvement of syndromes of other diseases, and is conducive to the development of valuable new prescriptions.
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<p><b>OBJECTIVE</b>To explore the acupoint selection pattern of chronic atrophic gastritis and provide reference for clinical treatment of chronic atrophic gastritis.</p><p><b>METHODS</b>The literature regarding acupuncture for chronic atrophic gastritis published before September 5th of 2016 was searched in the databases of CNKI, CBM, PubMed, etc. The information of symptoms and acupoint selection was extracted to establish medical database of chronic atrophic gastritis. The data mining methods of latent structure model and frequency item set were applied to analyze the acupoint selection pattern of chronic atrophic gastritis.</p><p><b>RESULTS</b>A total of 42 papers were collected in preliminary screening, and 32 papers were included, involving 604 medical cases. The data mining indicated 215 symptoms were involved in medical cases, including 16 high-frequency symptoms (stomach pain, stomach distension and hiccup, etc.), and the latent structure model of chronic atrophic gastritis symptoms was established. Fifty-two acupoints were identified, and high-frequency acupoints included Zusanli (ST 36), Zhongwan (CV 12), Neiguan (PC 6) and Weishu (BL 21), etc. Five frequency item sets of symptom-acupoint were identified, including stomach pain+stomach distension+Zusanli (ST 36)+Zhongwan (CV 12), etc. Six frequency item sets of symptom-syndrome-acupoint were identified, including stomach distension+dry mouth+dry defecation+insufficiency of stomach +Sanyinjiao (SP 6).</p><p><b>CONCLUSION</b>Acupuncture for chronic atrophic gastritis selected Zusanli (ST 36), Zhongwan (CV 12) and Neiguan (PC 6) as main acupoints, and selected other acupoints based on clinical symptoms. This could provide reference for clinical treatment of chronic atrophic gastritis.</p>