Objective:To establish a practical patient-based internal quality control method for valproic acid drug concentration monitoring.Methods:Observational Study. A PBRTQC model based on the exponentially weighted moving average (EWMA) method was established using Python. All results of a total of 28, 757 valproic acid concentration data from February 1, 2023 to January 31, 2024 were collected and split into training set and validation set at a ratio of 80% and 20% respectively. The truncation limit (TL) was optimized by using the winsorized mean method and the trimmed mean method. Different weighting coefficients λ were set. Different TL and different λ were combined with the EWMA algorithm into different patient-based real-time quality control (PBRTQC) models. The optimized models were verified by introducing simulated constant errors (CE) and proportional errors (PE) respectively. The false positive alarm rate (FAR) was used to evaluate specificity, and the average number of patients before error detection (ANPed) was used to evaluate sensitivity. According to the daily test volume and quality target requirements, we comprehensively judged whether the performance evaluation indicators of FAR and ANPed meet the laboratory requirements. Bias detection curve was used for determination of the best model.Results:The parameters of the best PBRTQC model for valproic acid drug concentration monitoring are: trimmed mean method with 1.5 standard deviations (i.e., truncating data outside 1.5 standard deviations of the data mean), λ=0.01. The performance verification result shows that ANPed of CE and PE of this model are both less than 100. The comparison between the EQA results and the EWMA results show that the EWMA method results are comparable to the EQA results.Conclusion:A PBRTQC model for the valproic acid drug concentration monitoring project based on the EWMA method has been successfully established. It is comparable with both IQC and EQA results, which means PBRTQC may be used as a supplement to the quality control of daily quality control products.

Objective:To establish a practical patient-based internal quality control method for valproic acid drug concentration monitoring.Methods:Observational Study. A PBRTQC model based on the exponentially weighted moving average (EWMA) method was established using Python. All results of a total of 28, 757 valproic acid concentration data from February 1, 2023 to January 31, 2024 were collected and split into training set and validation set at a ratio of 80% and 20% respectively. The truncation limit (TL) was optimized by using the winsorized mean method and the trimmed mean method. Different weighting coefficients λ were set. Different TL and different λ were combined with the EWMA algorithm into different patient-based real-time quality control (PBRTQC) models. The optimized models were verified by introducing simulated constant errors (CE) and proportional errors (PE) respectively. The false positive alarm rate (FAR) was used to evaluate specificity, and the average number of patients before error detection (ANPed) was used to evaluate sensitivity. According to the daily test volume and quality target requirements, we comprehensively judged whether the performance evaluation indicators of FAR and ANPed meet the laboratory requirements. Bias detection curve was used for determination of the best model.Results:The parameters of the best PBRTQC model for valproic acid drug concentration monitoring are: trimmed mean method with 1.5 standard deviations (i.e., truncating data outside 1.5 standard deviations of the data mean), λ=0.01. The performance verification result shows that ANPed of CE and PE of this model are both less than 100. The comparison between the EQA results and the EWMA results show that the EWMA method results are comparable to the EQA results.Conclusion:A PBRTQC model for the valproic acid drug concentration monitoring project based on the EWMA method has been successfully established. It is comparable with both IQC and EQA results, which means PBRTQC may be used as a supplement to the quality control of daily quality control products.

Objective To verify the genetic characteristics associated with gastric cancer,and to propose a hybrid feature selection method for identifying target genes,further analyzing their significance and establishing a new diagnostic prediction model.Methods Analysis of variance in bioinformatics was performed on the original gastric cancer data,and then machine learning methods such as random forest,recursive feature elimination of support vector machine,and LASSO algorithm were used to screen gastric cancer associated genes,and the intersection of results was taken as the key gene set.The key genes were identified and verified through enrichment analysis.The diagnosis and prediction models based on 8 kinds of machine learning classification algorithms such as multi-layer perceptron,logistic regression and decision tree,were constructed using the key genes.Results The key genes selected by the hybrid feature selection method were closely related to the tumorigenesis and development.Eight key genes(TXNDC5,BMP8A,ONECUT2,COL10A1,JCHAIN,INHBA,LCTL and TRIM59)were identified as potential markers of good diagnostic efficacy in gastric cancer.The ROC curve and accuracy results demonstrated that among the 8 classification models,MLP is the best gastric cancer prediction model,with an accuracy of 97.77%,which was 3.83%higher than that of Xgboost gastric cancer prediction model.Conclusion The study identifies 8 key genes for the diagnosis and prevention of gastric cancer,and establishes the optimal prognosis model.

Tumors are serious diseases threatening human health,and the early diagnosis is essential to improve treatment success and patient survival.The study of tumor gene expression data has become a major tool for revealing tumor disease mechanisms,in which artificial intelligence plays an important role.The potential advantages of supervised learning,unsupervised learning and deep learning in tumor prediction and classification are explored from the perspective of machine learning methods.Special attention is paid to the impact of feature selection algorithms on gene screening and their importance in high-dimensional gene expression data.By providing a comprehensive overview of the application and development of artificial intelligence in the analysis of tumor gene expression data,the study aims to provide an outlook for future research directions and promote further development.

Objective:To observe the clinical efficacy of Qigui Tangtongning Granules in the treatment of diabetic peripheral neuropathy (DPN) with qi deficiency and blood stasis.Methods:Prospective cohort study. A total of 80 DPN patients with Qi deficiency and blood stasis in Endocrinology Department of the First Affiliated Hospital of Anhui University of Chinese Medicine from May 2021 to May 2022 who met the inclusion criteria were divided into 2 groups by random number table method, with 40 cases in each group. The control group was treated with epalrestat on the basis of routine hypoglycemia, and the treatment group was treated with Qigui Tangtongning Granules on the basis of control group. Both groups were treated for 8 weeks. TCM syndromes were scored before and after treatment. Disease severity was assessed using the Toronto Clinical Scoring System (TCSS). The motor nerve conduction velocity (MNCV) and sensory nerve conduction velocity (SNCV) of median nerve and common peroneal nerve were detected by electromyography/induced potentiometer. Serum CRP, TNF-α and IL-6 were detected by ELISA, fasting blood glucose (FPG) and two hours post-meal blood glucose (2 hPG) were detected by automatic biochemical analyzer, and glycosylated hemoglobin (HbA1c) was detected by automatic HBA1C analyzer. Adverse reactions were recorded and clinical efficacy was evaluated.Results:The total effective rate was 95.0% (38/40) in the treatment group and 77.5% (31/40) in the control group, the difference between the two groups was statistically significant ( χ2=5.17, P=0.023). After treatment, the TCM syndrome score and TCSS score of the treatment group were significantly lower than those in the control group ( t=-3.19 and -7.63, P<0.01); Median nerve SNCV [(47.90±4.51) m/s vs. (44.76±3.72) m/s, t=3.40], MNCV [(53.79±3.65) m/s vs. (51.32±4.25) m/s, t=2.79] and common peroneal nerve SNCV [(44.21±2.08) m/s vs. (40.51±2.49) m/s, t=7.23], MNCV [(44.63±4.72) m/s vs. (41.36±4.87) m/s, t=3.05] were significantly higher than those in the control group ( P<0.01); FPG [(5.05±0.63) mmol/L vs. (7.05±1.23) mmol/L, t=-9.17], 2 hPG [(9.10±1.64) mmol/L vs. (12.19±2.61) mmol/L, t=-6.35], HbA1c [(6.79±0.90) % vs. (7.22±1.02) %, t=-2.02] were significantly lower than those in the control group ( P<0.01 or P<0.05); TNF-α [(15.75±5.44) ng/L vs. (32.01±5.33) ng/L, t=-13.51], hs-CRP [(2.58±0.80) mg/L vs. (3.79±1.04) mg/L, t=-5.83], IL-6 [(18.20±4.92) ng/L vs. (29.97±5.18) ng/L, t=-10.41] were significantly lower than those in the control group ( P<0.01). No obvious adverse reactions were observed in 2 groups during treatment. Conclusion:Qigui Tangtongning Granules combined with conventional Western medicine can improve nerve conduction velocity, reduce inflammation and improve clinical efficacy in DPN patients with Qi-deficiency and blood-stasis syndrome.

Objective To compare the prognosis and life quality of patients with early-stage breast cancer(stage I or II)undergoing breast-conserving surgery or modified radical mastectomy.Methods 180 cases with early-stage breast cancer were divided into 2 groups:breast-conserving surgery group(BCS)and modified radical mastcctomy group(MRM),with 90 cases in each group.The 2 groups were all given radiotherapy,chemotherapy and endocrine therapy according to indications.The prognosis and life quality in the 2 groups were compared.Results The 5-year-postoperative follow-up showed there was no significant difference in duration of disease-free survival(DFS)of the 2 groups.However,life quality of BCS patients was significantly better than that of MRM patients in terms of general health,physical function,pain,vitality,social functioning,emotion and mental health.Conclusion Breast-conserving surgery is highly recommended for patients with early-stage breast cancer.

Objective: To explore the reasonable compatibility of anesthetics in painless small intestinal endoscopy by comparing the influence of different target plasma propofol concentrations combined with remifentanil on anesthesia effects and respiratory and circulatory functions.Methods: Two hundred patients requiring small intestinal endoscopy were randomly divided into 4 groups,Group Ⅰ given 1% propofol only,with the target plasma propofol concentration set at 4.5 ?g/ml,and Group Ⅱ,Ⅲ and Ⅳ receiving 30-second injection of remifentanil(0.3 ?g/kg) 1 min before target-controlled infusion(TCI) of propofol,with the target plasma propofol concentration set at 3.0,3.5 and 4.0 ?g/ml,respectively.The mean arterial pressure(MAP),heart rate(HR),pulse oxygenation(SpO2),induction time,awakening time,orientation recovery time and the incidence of patients' body motion were observed before anesthesia,at the vanishment of the eyelash reflex,while the small intestine endoscope passing through the Treitz ligament or ileoceal valve and after endoscopy.Results: Compared with baseline values,MAP and HR were significantly decreased in all groups when the eyelash reflex vanished,markedly increased in Group Ⅰ,although not so obvious in Groups Ⅱ and Ⅲ,when the small intestinal endoscope passed through the Treitz ligament or ileoceal valve,and greatly reduced at all time points in Group Ⅳ,with difficult entrance of the small intestine endoscope due to low tension of the intestinal cavity.Comparatively,the induction time was shorter and the awakening time and orientation recovery time were longer in Group Ⅰ,the total dose of propofol and the incidence of body motion notably decreased in Groups Ⅱand Ⅲ,and the incidence of respiratory depression obviously increased in Group Ⅳ.Conclusion: Propofol TCI combined with remifentanil can be used safely and effectively in painless small intestinal endoscopy.Target plasma propofol concentration(3.5 ?g/ml) in combination with remifentanil(0.3 ?g/kg) gives more efficient anesthesia,lower incidence of body motion and respiratory suppression and better recovery.Therefore,it is the suitable anesthetic compatibility in painless small intestinal endoscopy.

The educational evaluation of humanistic quality of medical universities and colleges has many characteristics, that the content is abundant, the methods are various, the mechanism is intructive, the objects are self-disciplined, the effects are obscure and the indication is diverse and ambiguous The study of the content, the purpose, the function and the principle of the educational evaluation of humanistic quality of medical universities and colleges is vital important to establishing operable system of the educational evaluation. The study also plays an important role in enhancing full-scale, coordinative, sustained development of the evaluation.