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Objective:To study the evolution of Traditional Chinese Medicine (TCM) syndromes of 171 cases of Kawasaki disease (KD) under the intervention of gamma globulin therapy based on factor analysis.Methods:A cross-sectional study. 171 cases of KD children hospitalized in the Department of Cardiology of Guangzhou Women's and Children's Medical Center from July 2019 to December 2020 were collected. All patients were treated with intravenous gamma globulin (2 g/kg) for 1 week. According to the results of the treatment with C-ball, 171 children with C-ball sensitive KD were selected to collect the four diagnostic data, and the representative syndromes of defensive level, qi level, yin level, and nutritive level were observed. Factor analysis was used to analyze the evolution of syndrome in 171 children with KD c-ball sensitivity.Results:The result of factor analysis showed that the KMO statistics of 171 children with c-ball sensitivity before treatment was 0.792, and Bartley test was significant ( P<0.01). 16 common factors were extracted, and 23 syndromes were screened, mainly including defensive level disorder, qi level disorder,nutritive level disorder,yin level disorder, heat stagnation and blood stasis syndrome. One week after treatment, the statistic of KMO test was 0.787, and Bartley test was significant ( P<0.01). 9 common factors were extracted, and 10 syndromes were screened, mainly including qi deficiency syndrome, yin deficiency syndrome and blood stasis syndrome. Conclusion:Before treatment, the TCM syndromes in KD C-cell sensitive children are mainly nutritive level disorder, defensive level disorder, qi level disorder yin level disorder, and heat stagnation and blood stasis syndrome; after treatment, the main TCM syndromes are mainly qi deficiency syndrome, yin deficiency syndrome and blood stasis syndrome.
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@#[Objective] To construct a Nomogram model for the prediction of essential hypertension (EH) risks with the use of traditional Chinese medicine (TCM) syndrome elements principles in conjunction with cutting-edge biochemical detection technologies. [Methods] A case-control study was conducted, involving 301 patients with essential hypertension in the hypertensive group and 314 without in the control group. Comprehensive data, including the information on the four TCM diagnoses, general data, and blood biochemical indicators of participants in both groups, were collected separately for analysis. The differentiation principles of syndrome elements were used to discern the location and nature of hypertension. One-way analysis was carried out to screen for potential risk factors of the disease. Least absolute shrinkage and selection operator (LASSO) regression was used to identify factors that contribute significantly to the model, and eliminate possible collinearity problems. At last, multivariate logistic regression analysis was used to both screen and quantify independent risk factors essential for the prediction model. The “rms” package in the R Studio was used to construct the Nomogram model, creating line segments of varying lengths based on the contribution of each risk factor to aid in the prediction of risks of hypertension. For internal model validation, the Bootstrap program package was utilized to perform 1000 repetitions of sampling and generate calibration curves. [Results] The results of the multivariate logistic regression analysis revealed that the risk factors of EH included age, heart rate (HR), waist-to-hip ratio (WHR), uric acid (UA) levels, family medical history, sleep patterns (early awakening and light sleep), water intake, and psychological traits (depression and anger). Additionally, TCM syndrome elements such as phlegm, Yin deficiency, and Yang hyperactivity contributed to the risk of EH onset as well. TCM syndrome elements liver, spleen, and kidney were also considered the risk factors of EH. Next, the Nomogram model was constructed using the aforementioned 14 risk predictors, with an area under the curve (AUC) of 0.868 and a 95% confidence interval (CI) ranging from 0.840 to 0.895. The diagnostic sensitivity and specificity were found to be 80.7% and 85.0%, respectively. Internal validation confirmed the model’s robust predictive performance, with aconsistency index (C-index) of 0.879, underscoring the model’s strong predictive ability. [Conclusion] By integrating TCM syndrome elements, the Nomogram model has realized the objective, qualitative, and quantitative selection of early warning factors for developing EH, resulting in the creation of a more comprehensive and precise prediction model for EH risks.
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Objective To investigate the effect of Yishen-Daotan decoction on TCM syndrome elements of infertility caused by kidney deficiency and phlegm stagnant type polycystic ovary syndrome.Methods 60 patients of kidney deficiency and phlegm stagnant type polycystic ovarian syndrome infertilities were administrated with modified Yishen-Daotan decoction for 3 months and the changes of TCM syndrome elements,menstrual cycle and serum sex hormone were compared before and after the treatment.Results ① TCM syndrome elements had a statistical changes after the treatment compared with those before the treatment(t=62.79,P＜0.01).②menstrual cycle showed statistical difference after the treatment compared with that before the treatment,(x2=21.64,P＜0.01).③Serum FSH,E2 were increased,while LH,LH/FSH and T were decreased after the treatment,showing a significant difference compared with those before the treatment (t=2.67,P＜0.05).④The total effective rate was 91.67％ and pregnancy rate was 30％.Conclusion Yishen-Daotan decoction significantly improve clinical symptoms in patients with kidney deficiency and phlegm stagnant type PCOS infertility.