Based on the teaching practice of BME in higher Medical University for years,this article expounded the features,the teaching intension,the moving mechanism,etc.It is expected taht this article will improve the development greatly of BME in higher Medical University.

Objective:To investigate the influencing factors of postoperative surgical margin, warm ischemia time and severe postoperative complication (MIC) comprehensive outcome in patients with stage T 1b renal cell carcinoma treated with nephron sparing surgery (NSS) and to establish a predictive model. Methods:One hundred and seventy-four patients with stage T 1b renal cell carcinoma treated with NSS were retrospectively chosen in the period from January 2017 to January 2022 in 3201 Hospital. All patients were divided into MIC group ( n=66) and non-MIC group ( n=108) according to whether MIC was achieved after surgery or not. Univariate and multivariate analysis were used to evaluate the independent influencing factors of postoperative MIC comprehensive outcome, and a nomogram prediction model was constructed according to the influencing factors and its predictive value was evaluated using receiver operating characteristic (ROC) curve. Results:There were statistically significant differences in the body mass index ( t=2.81, P=0.006), lesion morphology ( χ2=41.41, P<0.001), hot ischemia time ( t=16.92, P<0.001), creatinine increase within 24 h after surgery ( t=16.79, P<0.001), hemoglobin (Hb) decreased within 24 h after surgery ( t=9.33, P<0.001), perioperative complications ( χ2=21.31, P<0.001), R.E.N.A.L. score ( t=4.74, P<0.001), PADUA score ( t=3.21, P=0.002) and Mayo perirenal adhesion index ( t=22.28, P<0.001) in MIC group and non-MIC group. Multivariate analysis showed that body mass index ( OR=0.31, 95% CI: 0.13-0.74, P=0.007), lesion morphology ( OR=0.36, 95% CI: 0.22-0.59, P<0.001), PADUA score ( OR=0.37, 95% CI: 0.17-0.81, P=0.013) and Mayo perirenal adhesion index ( OR=0.43, 95% CI: 0.24-0.70, P=0.004) were all independent factors of postoperative MIC comprehensive outcomes in patients with stage T 1b renal cell carcinoma treated with NSS. The C-index of the nomogram model built according to the selected variables was 0.89 with high prediction accuracy; area under the curve (AUC) was 0.84 (95% CI: 0.77-0.91), and it had good predictive performance. Conclusion:Body mass index, lesion morphology, PADUA score and Mayo perirenal adhesion index are independent influencing factors for the MIC comprehensive outcome of patients with stage T 1b renal cell carcinoma after NSS treatment. The nomogram model based on the above indicators has better predictive performance.

OBJECTIVE: To analyze the indications of the therapies for rheumatoid arthritis (RA) with neural network model analysis. METHODS: Three hundred and ninety-seven patients were included in the clinical trial from 9 clinical centers. They were randomly divided into Western medicine (WM) treated group, 194 cases; and traditional Chinese herbal medicine (CM) treated group, 203 cases. A complete physical examination and 18 common clinical manifestations were prepared before the randomization and after the treatment. The WM therapy included voltaren extended action tablet, methotrexate and sulfasalazine. The CM therapy included Glucosidorum Tripterygii Totorum Tablet and syndrome differentiation treatment. The American College of Rheumatology 20 (ACR20) was taken as efficacy evaluation. All data were analyzed on SAS 8.2 statistical package. The relationships between each variable and efficacy were analyzed, and the variables with P<0.2 were included for the data mining analysis with neural network model. All data were classified into training set (75%) and verification set (25%) for further verification on the data-mining model. RESULTS: Eighteen variables in CM and 24 variables in WM were included in the data-mining model. In CM, morning stiffness, swollen joint number, peripheral immunoglobulin M (IgM) level, tenderness joint number, tenderness, rheumatoid factor (RF), C-reactive protein (CRP) and joint pain were positively related to the efficacy, and disease duration and more urination at night negatively related to the efficacy. In WM, erythrocyte sedimentation rate (ESR), weak waist, white fur in tongue, joint pain, joint stiffness and swollen joint were positively related to the efficacy, and yellow fur in tongue, red tongue, white blood negatively related to the efficacy. In the analysis with the neural network model in the patients of verification set, the predictive response rates of 20% patients would be 100% and 90% in the treatment with CM and WM, respectively. CONCLUSION: Neural network model analysis, based on the full clinical trial data with collection of both traditional Chinese medicine and modern medicine diagnostic information, shows a good predictive role for the information in the efficacy in rheumatoid arthritis.

OBJECTIVE: To evaluate the correlations between clinical symptoms and treatment efficacy in patients with rheumatoid arthritis (RA). METHODS: Four hundred and thirteen patients were included in the clinical trial from 9 clinical centers. They were randomly divided into Western medicine-treated group with 204 cases and Chinese herbal drug-treated group with 209 cases. Eighteen clinical symptoms were evaluated before and after treatment. The Western medicine therapy included voltaren extended release tablets, methotrexate and sulfasalazine. The Chinese herbal drug therapy included glucosidorum Tripterygii totorum tablets and Yishen Juanbi Tablets combined with treatment based on syndrome differentiation. The American College of Rheumatology 20 (ACR20) was used as efficacy evaluation criteria. RESULTS: In the Chinese herbal drug-treated group, clinical symptoms such as arthralgia and tenderness of joints were positively correlated with the efficacy after 12-week treatment, while frequent urination at night was negatively correlated. In the same group, tenderness of joints and fever were positively correlated with the efficacy after 24-week treatment, while deep-colored and turbid urine was negatively correlated. In the Western medicine-treated group, tenderness of joints and thirst were positively correlated with the efficacy after 12-week treatment, while vertigo was negatively correlated. And in the same group, tenderness of joints was positively correlated with the efficacy after 24-week treatment, while heaviness of limbs was negatively correlated to the efficacy. The statistical results showed that the treatment efficacy was improved when the correlated symptoms were included in the indications. CONCLUSION: The treatment efficacy of RA is correlated with some symptoms, so further studies should proceed on these correlations in order to achieve better treatment outcome.