1.The curative effects of using oxygen treatment combined mixture to bedsore
Aihua JIAN ; Guoquan LUO ; Biqiang SHEN ; Minxi HUANG
Chinese Journal of Practical Nursing 2006;0(18):-
ObjectiveTo study the curative effects of using oxygen treatment combined mixture to Ⅲ-Ⅳ bedsore. Methods Divided 63 patients into the observation group (32 cases) and the traditional group (31 cases) randomly. Oxygen treatment combined mixture was used in the observation group and the traditional nursing measures were used in the traditional group. Compared the curative effects of bedsore between the 2 groups.Results The cure rate of Ⅲ-Ⅳ bedsore in the observation group was significant higher than that of in the traditional group,P
2.Construction of a therapeutic effect prediction model for bronchial asthma
Qidong HUANG ; Minxi LI ; Yilong LI ; Wanqi SHAO ; Shumei ZHAO ; Xiaoyan GONG ; Lindu ZHAO ; Lanying LIU
Journal of Beijing University of Traditional Chinese Medicine 2024;47(5):729-740
Objective We aimed to investigate the feasibility and method of constructing a traditional Chinese medicine(TCM)curative effect prediction model based on the data of Kechuanting acupoint plastering therapy in the treatment of bronchial asthma(asthma).Methods Data from the Chronic Disease Management Research Platform of 303 patients with asthma who were treated with Kechuanting acupoint plastering therapy for 6 weeks in the Department of Acupuncture and Rehabilitation of Jiangsu Hospital of Traditional Chinese Medicine from June to August 2018 to 2021 were selected.We used Phyton 3.10 for statistical analysis.After data preprocessing,the influencing factors were used to build models by Logistic regression,support vector machine,K-means clustering algorithm,Bayes algorithm,random forest method and Light gradient boosting machine(LightGBM)respectively,with the improvement of asthma control test score(ACT),forced expiratory volume in one second(FEV1)and exhaled nitric oxide(FeNO)as the outcome indicators.Then,the models were compared and analyzed.Subsequently,the superior model was used to establish the efficacy prediction model and verify its stability to obtain the accuracy rate and eliminate the relatively important factors.Results The accuracy rate of the Kechuanting acupoint plastering therapy curative effect prediction model established by the LightGBM model was more than 70%.Five important factors were selected,including allergic history,tabacco and alcohol abuse,plastering duration,ACT before treatment,and FeNO before treatment.According to the classification analysis and the relationship between the important factors and the outcome indicators,Kechuanting acupoint plastering therapy significantly improved the ACT of patients with no history of allergy,no tabacco and alcohol abuse,and poor ACT:5-15 points(P<0.05).Furthermore,Kechuanting acupoint plastering therapy improved FeNO more significantly in patients with more than 3 years of treatment than those with no more than 3 years(P<0.05).However,Kechuanting acupoint plastering therapy only improved FeNO in a few patients with poor asthma control levels(P<0.05)and severe airway inflammation(FeNO>50×10-9)(P>0.05).Conclusion Acupoint plastering application has a significant effect on improving the control level of asthma,but its effect on improving airway inflammation is limited.It is feasible to use data from the chronic disease management research platform to construct the prediction model.After optimization and testing,the predictive model established based on the data of this study may provide an effective evaluation tool for targeted clinical treatment.
3.Anti-arthritic-related metal bioavailability for optimal compatibility ratio of Aconiti Radix Cocta and Paeoniae Radix Alba.
Lu-Xiu LIN ; Feng-Ying ZHENG ; Gui-Zhen HUANG ; Shun-Xing LI ; Feng-Jiao LIU ; Shan MAN ; Ji-Ru WU ; Ying-Ying LI
China Journal of Chinese Materia Medica 2020;45(23):5770-5776
Trace metals deficiency or excess are associated with the etiology and pathogenesis of rheumatoid arthritis(RA). Aconiti Radix Cocta(A) and Paeoniae Radix Alba(B) are commonly used together for the treatment of RA. In this study, we aim to determine anti-arthritic-related metal bioavailability in the compatibility of herb A and B for avoiding metal deficiency or excess, and optimize the combination ratio of herb A and B, accordingly. Anti-arthritic-related metal bioaccessibility were evaluated by in vitro simulator of all gastrointestinal tract(including mouth, stomach, small and large intestines), and the roles of gastrointestinal digestive enzymes and intestinal microflora were investigated. Anti-arthritic-related metal bioavailability was assessed by the affinity adsorption with liposomes. The results indicated that compatibility proportion of corresponding herbal plants, gastrointestinal digestion and microbial metabolic, which could affect metal digestion and absorption. The optimal compatibility proportion of 1 A∶1 B is recommended, according to the dose of anti-arthritic-related metal bioavailability, which is often chosen for clinical practice of RA therapy. Thus, anti-arthritic-related metal bioavailability might be the key active substances for RA treatment.
Aconitum
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Biological Availability
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Drugs, Chinese Herbal
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Paeonia