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ObjectiveTo construct a quantitative differentiation model of traditional Chinese medicine （TCM） syndromes by taking primary osteoporosis （POP） with kidney yang deficiency syndrome as an example， and to provide methodological reference for the standardization of syndrome differentiation. MethodsHigh-frequency clinical features of POP were screened by descriptive statistical analysis， and strong association features of POP were obtained by association rule algorithm. On this basis， a latent structure （latent tree） model was established through latent structure analysis， and the implicit and explicit variables （features） related to POP with kidney yang deficiency syndrome were comprehensively clustered， and the clustering results were interpreted by the indexes of mutual information and cumulative information coverage， to explore the primary and secondary symptoms， and to deduce the categories of POP with kidney yang deficiency syndrome based on the probability of the features appearing in the various latent categories. Based on the categories， the clinical feature scores and identification thresholds were calculated， and the syndrome differentiation model of POP with kidney yang deficiency was initially constructed by combining the comprehensive judgment rules. Finally， the results of TCM professionals' judgment were used as the gold standard to further evaluate the effectiveness of the model in assisting the syndrome differentiation. ResultsThe 32 features strongly associated with POP were obtained， and the Bayes information critedon score of the further constructed latent tree model was -15291.93. Based on the mutual information and the cumulative information coverage， the main symptoms of POP with kidney yang deficiency syndrome were bone weakness， fatigue， pale tongue， clear urine， frequent nocturnal urination， cold limbs， thin pulse， white coating， and secondary symptoms were weakness， loss of libido， loose stool， frequent urination， lumbar and knee weakness， and fear of cold. From the probability of the occurrence of each clinical feature in different latent categories of POP with kidney yang deficiency syndrome， the state was introduced as S0 category （none/mild kidney yang syndrome）/ S1 category （moderate kidney yang syndrome）/ S2 category （severe kidney yang syndrome）. Optimizing the preliminary rules of state identification and refining the state of S1 category， the results showed that among 970 patients with POP， there were 520 patients having no/mild kidney yang deficiency syndrome， 224 patients with moderate to mild kidney yang deficiency syndrome， 81 patients with moderate to severe kidney yang deficiency syndrome， and 145 patients with severe kidney yang deficiency syndrome. During the evaluation and validation process， the correct rate of the model assessment index was 0.8835， while the sensitivity was 0.7181， and the specificity was 0.9437. ConclusionCombined with the latent structure analysis of the association rule， the syndrome differentiation model for POP with kidney yang deficiency could be constructed， and the model shows a good quantitative identification effect， which can provide methodological supports for clinicians to improve the efficiency and accuracy of TCM diagnosis.
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ObjectiveTo investigate the identification of kidney Yang deficiency syndrome of patients with osteoporosis（OP）， and to form the clinical syndrome identification rules of traditional Chinese medicine（TCM）. MethodBasic information， etiology， clinical symptoms and other characteristics of 982 OP patients were included， and statistical tests were used to screen the variables associated with kidney Yang deficiency syndrome. Taking the decision tree as the base model， bootstrap aggregation algorithm（Bagging algorithm） was utilized to establish the classification model of kidney Yang deficiency syndrome in OP， generating numerous rules and removing redundancy. Combining least absolute shrinkage and selection operator（LASSO） regression to screen key rules and integrate them to construct an identification model， achieving the identification of kidney Yang deficiency syndrome in OP patients. ResultEighteen key identification rules were screened out， and of these， where 11 rules with regression coefficients>0 correlated positively with the kidney Yang deficiency syndrome， the rule with the highest coefficient was chilliness（present）&feverish sensation over the palm and sole（absent）. The other 7 rules with regression coefficients<0 correlated negatively with the syndrome， the rule with the lowest coefficient was reddish tongue（present）&diarrhea（absent）&deficiency of endowment（absent）. According to the regression coefficients of each key rule， variables with importance>0.2 were ranked as chilliness， reddish tongue， feverish sensation over the palm and sole， cold limbs， clear urine， diarrhea， deficiency of endowment， prolonged illness. The results of the partial dependence analysis of the identification model showed that compared to OP patients without chilliness， those with chilliness（present） had a 0.266 8 higher probability of being identified as having kidney Yang deficiency syndrome， indicating that this variable had the highest impact on identification of the syndrome. Similarly， compared to OP patients without reddish tongue， those with reddish tongue had a 0.141 9 lower probability of being identified as having kidney Yang deficiency syndrome， indicating that this variable had the highest impact on identifying non-kidney Yang deficiency syndrome. The accuracy， sensitivity， specificity and area under receiver operating characteristic curve（AUC） of the established kidney Yang deficiency syndrome identification model in the test set were 0.865 9， 0.853 7， 0.872 0 and 0.931 5， respectively. ConclusionA precise identification model of OP kidney Yang deficiency syndrome is conducted basing on the rule ensemble method of Bagging combining LASSO regression， and the screened key rules can explain the identification process of kidney Yang deficiency syndrome. In this research， according to the regression coefficients of rules， the importance and partial dependence of variables， combined with the thinking of TCM， the influence of patient characteristics on the identification of syndromes is described， so as to reveal the primary and secondary syndromes of identification and assist the clinical identification of kidney Yang deficiency syndrome.
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Alzheimer’s disease (AD) has become one of the worldwide critical diseases which seriously threaten the health of the elderly. Exploring and developing medicine with high efficiency and low toxicity for AD patients is one of the vital medicine issues. Traditional Chinese medicine has high research and development value in the prevention and treatment of AD. Currently, increasing researches have proved that Ginseng Radix et Rhizoma, as a kind of traditional and valuable Chinese herbal medicine, shows effects on improving learning and memorizing ability and prevention and treatment of AD. This article reviewed Ginseng Radix et Rhizoma extract improving symptoms of AD and its mechanism of action in detail, with a purpose to provide references for Ginseng Radix et Rhizoma extract improving learning and memorizing ability and prevention and treatment of AD in clinic.
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Objective To observe the best compatibility proportion and action mode of protective effects of combined baicalin and taurine in Alzheimer’s disease (AD) model.Methods Aβ1-42 was injected through lateral ventricles to establish AD rat models. SD rats were randomly divided into sham-operation group, model group, aricept group, combined baicalin and taurine in different proportions group. Administration groups were treated with different medicines, while sham-operation group and model group were treated with the same amount of normal saline for 40 days. The step-through latency and the times of mistakes were detected through step-through test;the escape latent and the times of crossing target quadrant were detected through Morris water maze. Furthermore, the human neuroblastoma SH-SY5Y cells were induced by 5 μmol/L Aβ1-42 for establishing a cellular AD model. The AD cellular model was treated with baicalin and taurine compatibility in different proportions for 48 hours. Then the rate of cell viability was detected by MTT assay, and the median effective concentration (EC50) and combination index were calculated. Results Baicalin and taurine in 2∶1 and 1∶1 proportion groups can significantly improve learning and memory ability in AD rats (P<0.05,P<0.01). The EC50 were 2.110 μmol/L and 0.422 μmol/L, respectively. The combination index was 0.308.Conclusion Baicalin combined with taurine exhibit synergetic protective effects in AD rats induced by Aβ1-42. The optimal compatibility proportion of baicalin and taurine is 2∶1, and EC50 is 0.279 μmol/L.
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The development, application and revision of the clinical practice guideline (CPG) in traditional Chinese medicine (TCM) are a whole thing. However, the development and revision of TCM CPGs have been influenced due to lack of TCM CPGs reporting and feedback channel. Therefore, during the TCM standardization network establish-ment, we studied the application model of TCM CPGs with spontaneous reporting network, in order to provide the ba-sis for further TCM CPGs development and revision.
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This study was based on the project prophase of expert consultation and literature consult, and aimed to analyze the medicine establishment from the perspective of traditional Chinese medicine (TCM) doctors, in order to further study the influence of medical insurance on the development of TCM. Detailed suggestions were made in or-der to promote the benign development trend of TCM and medical insurance. Questionnaire survey was used in the investigation on perceptions of TCM related with medical insurance among 253 TCM doctors in appointed medical institution of medical insurance. Data was processed with frequency statistics. The results showed that after becoming the appointed medical institution of medical insurance, the medical insurance patients have become the main service group (73.5%) of hospitals (68.4%) and incomes of TCM doctors (41.9%) have increased, which contribute to TCM hospitals of becoming bigger and stronger (63.6%). The medical insurance patients have chosen TCM treatment main-ly for its curative effect (37.9%) and safety (24.1%). The influence of reimbursement ratio in medical insurance was relatively low (1.2%). The reimbursement range of TCM medical insurance needs to be further expanded, such as Chinese medicine nosocomial preparation (90.5%), decoction preparation fee (78.3%), and etc. It was concluded that under the background of universal health coverage, medical insurance plays a more and more important role in the development of TCM. And TCM should ensure its safety and improve its curative effect through the standardization of TCM and other measures. Meanwhile, the formulation of medical security policy and medical insurance management service standards should also consider the characteristics of TCM, and encourage the service of TCM.