OBJECTIVE To establish a multi-index quantitative detection method， and to evaluate the quality difference of Gleditsia sinensis from different producing areas. METHODS The contents of protocatechuic acid， vanillic acid， isoscopoletin， scoparone， isovitexin， fustin， taxifolin， fisetin， quercetin， kaempferol， echinocystic acid， betulinic acid， β -sitosterol and stigmasterol were detected by high performance liquid chromatography-quantitative analysis of multi-components by single marker （HPLC-QAMS）. The chromatographic column was Kromasil C18， the mobile phase was 0.2% phosphoric acid-acetonitrile solution （gradient elution）， the detection wavelengths were 254， 360， 210 nm for different index components， the column temperature was 30 ℃ ， the flow rate was 1.0 mL/min， and the sample injection volume was 10 μL. The contents of extract and total ash were detected according to the method of Chinese Pharmacopoeia. The quality differences of 30 batches of G. sinensis （No. S1-S30） from different producing areas were evaluated by chemometrics， weighted technique for order preference by similarity to an ideal solution （TOPSIS） analysis and Logistic regression model. RESULTS The linear ranges of 14 components were 1.55-77.50， 0.71- 35.50， 0.28-14.00， 0.96-48.00， 1.77-88.50， 0.09-4.50， 4.65-232.50， 1.49-74.50， 0.37-18.50， 1.18-59.00， 7.35-367.50， 3.58- 179.00， 0.49-24.50 and 0.21-10.50 μg/mL， respectively （all r＞0.999）. The RSDs of precision， stability （24 h） and repeatability were less than 2.00%； the average recoveries were 96.99%-100.13% （all RSDs＜2.00%）， and the relative correction factor had good repeatability. The contents of extract and total ash were Δ 基金项目 湖北省中医药科研立项青年人才项目 （No. 4.2%-12.5% and 0.5%-2.3%， respectively. There was no ZY2019Q014） significant difference in the content of 14 components measured by QAMS method and external standard method （P＞0.05）. The results of chemometrics showed that 30 batches of samples were clustered into 3 categories： S1 to S11 form one category， S12 to S20 form another category， and S21 to S30 constitute the third category. Echinocystic acid， betulinic acid， taxifolin， kaempferol， isovitexin， scoparone and protocatechuic acid may be the differential components affecting the quality of G. sinensis from different producing areas. The analysis results of the weighted TOPSIS method revealed that relative closeness （Jb） for 30 batches of G. sinensis ranged from 0.144 5 to 0.721 8， with S27 achieving the highest value （Jb） of 0.721 8. The analysis results of the Logistic regression model showed that S21-S30 batches of samples were of superior grade， S1-S11 were of intermediate grade， and S12-S20 were of inferior grade. CONCLUSIONS The established HPLC-QAMS method is simple and accurate. The comprehensive evaluation method is objective and comprehensive， and can be used to evaluate the quality difference of G. sinensis from different producing areas.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective To analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.

OBJECTIVE To comprehensively evaluate the quality of Yifei qinghua ointment by multi-component quantitative analysis combined with chemometrics and entropy weight-technique for order preference by similarity to ideal solution （TOPSIS） method. METHODS The contents of lobetyolin， syringin， calycosin 7-O-β-D-glucopyranoside， ononin， astraisoflavan-7-O-β-D- glucoside， isomucronulatol 7-O-glucoside， astragaloside Ⅳ ， deapi-platycoside E， platycoside E， platycodin D3， feretoside， asperulosidic acid， asperuloside， methylophiopogonanone A and methylophiopogonanone B in 14 batches of Yifei qinghua ointment （S1-S14） were determined by high-performance liquid chromatography method. Then， the quality of 14 batches of Yifei qinghua ointment was analyzed by chemometrics （principal component analysis and orthogonal partial least-squares discriminant analysis） and entropy weight TOPSIS method. RESULTS The results of chemometrics showed that 14 batches of Yifei qinghua ointment could be clustered into three categories， S1-S6 as the first category， S7-S10 as the second category， and S11-S14 as the third category. The values of variable importance for projection of calycosin 7-O-β-D-glucopyranoside， ononin， feretoside， astragaloside Ⅳ， astraisoflavan-7-O-β-D-glucoside， lobetyolin， methylophiopogonanone A and platycoside E were higher than 1. The results of the entropy weight TOPSIS method showed that the Euclidean closeness of the optimal solution of 14 batches of Yifei qinghua ointment were between 0.152 9 and 0.736 6， and that of sample S14 was the highest （0.736 6）. CONCLUSIONS Among 14 batches of Yifei qinghua ointment， sample S14 has the best quality， and 8 components such as calycosin 7-O-β-D-glucopyranoside and ononin may be differential markers affecting the quality of Yifei qinghua ointment.

Objective To investigate the effects of volumetric modulated arc therapy (VMAT) with 6 MV and 10 MV X-ray photon energies in patients with cervical cancer. Methods From March 2019 to May 2020, 24 patients with cervical cancer who underwent radiation therapy in the Oncology Radiotherapy Department of our hospital were selected. VMAT plans with 6 MV and 10 MV photon energies were re-designed for each patient. The target parameters (D_98%, D_2%, D_mean), conformal index, and homogeneity index of the two groups were compared. The radiation doses received by the bladder, rectum, small intestine, left femoral head, right femoral head, and normal tissue other than planning target volume (Body-PTV), as well as monitor units and estimated total delivery time, were also compared. Results D_2%, D_mean, homogeneity index, and monitor units were significantly lower in the 10 MV group than in the 6 MV group (50.78 ± 0.33 Gy vs. 50.35 ± 0.29 Gy; 49.05 ± 0.2 Gy vs. 48.93 ± 0.17 Gy; 0.08 ± 0.01 vs. 0.07 ± 0.01; 1179.26 ± 110.55 vs. 1099.3 ± 80.9). Comparison of organs at risk showed that compared with the 10 MV group, the 6 MV group demonstrated significantly lower V_40Gy of the bladder, D_5% of the right femoral head, and D_2% and V_5Gy of Body-PTV (60.37 ± 13.66 vs. 60.84 ± 13.88; 37.09 ± 5.43 Gy vs. 38.03 ± 5.68 Gy; 41.71 ± 1.39 Gy vs. 42.16 ± 1.31 Gy; 47.88 ± 9.75 vs. 48.23 ± 9.74). There were no significant differences in other parameters between the two groups. Conclusion The VMAT plans with 6 MV and 10 MV X-ray photon energies both meet the clinical needs of cervical cancer radiotherapy. The cervical cancer VMAT plan with 6 MV photon energy is recommended due to better protection of the organs at risk.

Objective To investigate the effects of volumetric modulated arc therapy (VMAT) with 6 MV and 10 MV X-ray photon energies in patients with cervical cancer. Methods From March 2019 to May 2020, 24 patients with cervical cancer who underwent radiation therapy in the Oncology Radiotherapy Department of our hospital were selected. VMAT plans with 6 MV and 10 MV photon energies were re-designed for each patient. The target parameters (D_98%, D_2%, D_mean), conformal index, and homogeneity index of the two groups were compared. The radiation doses received by the bladder, rectum, small intestine, left femoral head, right femoral head, and normal tissue other than planning target volume (Body-PTV), as well as monitor units and estimated total delivery time, were also compared. Results D_2%, D_mean, homogeneity index, and monitor units were significantly lower in the 10 MV group than in the 6 MV group (50.78 ± 0.33 Gy vs. 50.35 ± 0.29 Gy; 49.05 ± 0.2 Gy vs. 48.93 ± 0.17 Gy; 0.08 ± 0.01 vs. 0.07 ± 0.01; 1179.26 ± 110.55 vs. 1099.3 ± 80.9). Comparison of organs at risk showed that compared with the 10 MV group, the 6 MV group demonstrated significantly lower V_40Gy of the bladder, D_5% of the right femoral head, and D_2% and V_5Gy of Body-PTV (60.37 ± 13.66 vs. 60.84 ± 13.88; 37.09 ± 5.43 Gy vs. 38.03 ± 5.68 Gy; 41.71 ± 1.39 Gy vs. 42.16 ± 1.31 Gy; 47.88 ± 9.75 vs. 48.23 ± 9.74). There were no significant differences in other parameters between the two groups. Conclusion The VMAT plans with 6 MV and 10 MV X-ray photon energies both meet the clinical needs of cervical cancer radiotherapy. The cervical cancer VMAT plan with 6 MV photon energy is recommended due to better protection of the organs at risk.

Objective To elucidate the prediction ability of monocyte monolayer assay(MMA)used in hemolytic dis-ease of fetus and newborn(HDFN)caused by IgG anti-M.Methods Plasma from eight pregnant women containing IgG an-ti-M were collected,and were divided into two groups(4 cases with HDFN,with severe clinical symptoms such as fetal hy-drops,and 4 cases without HDFN)according to the clinical outcomes.M antigen positive cells were sensitized with dithioth-reitol(DTT)treated plasma from eight pregnant women respectively.MMA was performed by coincubation with monocytes and sensitized M cells,along with negative and positive control set up.T-test was conducted to compare the difference in phagocytic efficiency between two groups.Results The phagocytic efficiency in group with HDFN were 15.37%,13.05%,9.17%and 24.50%respectively,with the mean value of 15.52%,while the group without HDFN were 8.74%,11.07%,5.12%and 6.23%respectively,with the mean value of 7.79%.There was no significant difference in phagocytic efficiency between two groups(P>0.05).The mean values of both groups were not significantly different from the negative control(P>0.05),but both were significantly lower than positive control(P<0.05).Conclusion The low phagocytic efficiency couldn't convince that the MMA is an effective predictor for the HDFN caused by IgG anti-M,indicating that another mech-anism might be responsible for it rather than monocyte phagocytosis.The assessment of the peak systolic velocity in middle cerebral artery of the fetal should be considered in the management for pregnant women who produce IgG anti-M to estimate the situation of fetal anemia.

Objective To evaluate the relationship between perioperative myocardial injury(PMI)and serum N/OFQ levels in elderly patients with coronary heart disease.Methods Totally 120 elderly patients who underwent hip fracture surgery under general anesthesia from January 2022 to May 2023 were included,including 60 patients with coronary heart disease(CHD group)and 60 patients without coronary heart disease(control group).The venous blood of patients was collected 10 minutes before anesthesia induction(T0),12 hours after surgery(T1)and 24 hours after surgery(T2)to detect the content of N/OFQ and high-sensitivity myocardial troponin I(hs-cTnI)in serum.Record perioperative adverse cardiovascular events(PACE)and the use of vasoactive drugs during surgery.Results Compared with the control group,the N/OFQ and hs cTnI levels at T0 and T1 in the CHD group were significantly increased(P<0.05).There was a positive correlation between N/OFQ and hs-cTnI levels at T1 and T2 in CHD and control group(P<0.05).The use of PACE and intraoperative vasoactive drugs in the CHD group was higher than that in the control group(P<0.05).Conclusion There is a correlation between the increased N/OFQ content and PMI in elderly patients with coronary heart disease after surgery,which may become an early predictive indicator of PMI.

Objective This study aims to assess the clinical value of sputum and bronchoalveolar lavage fluid examination combined with acid-fast bacilli detection to provide a reference for the diagnosis and treatment of pulmonary tuberculosis.Methods We collected and analyzed relevant test data from patients who underwent smear and/or isolation of sputum and bronchoalveolar lavage fluid for acid-fast bacilli or Mycobacterium detection within the same week from January 2021 to July 2021.The test results'similarities and differences were analyzed.Results Of the 272 patients,the positive rates of sputum smear,alveolar lavage fluid smear,sputum isolation,alveolar lavage fluid isolation(hereinafter referred to as"A""B""C"and"D")were 14.71％(40/272),19.49％(53/272),25.00％(67/268)and 31.90％(74/232),respectively.The positive rate of the four tests as parallel tests was 37.50％(102/272).The result modes of A+C+,A-C+,A+C-,A-C-and A-CN(the"+""-"and"N"in the super-script stood for"positive""negative"and"undetected")accounted for 14.71％(40/272),13.97％(38/272),0,69.85％(190/272),1.47％(4/272)respectively,and the result modes of B+D+,B-D+,B+D-,B-D-and B-DN accounted for 19.12％(52/272),8.82％(24/272),0.37％(1/272),56.99％(155/272),14.71％(40/272).The percentages of these re-sult modes of A+B+,A+B-,A-B+and A-B-were 14.71％(40/272),0,4.78％(13/272),80.51％(219/272),respec-tively.The percentages of these result modes of A+D+,A+D-,A+DN,A-D+,A-D-,A-DN,AND+,AND-and ANDN were 19.12％(52/272),5.51％(15/272),4.04(11/272),8.09％(22/272),51.74％(140/272),10.29％(28/272),0.74％(2/272),0.37％(1/272),and 0.37％(1/272),respectively.Conclusion Compared with more common sputum tes-ting,for acid-fast bacteria,performing bronchoalveolar lavage fluid testing for acid-fast bacteria in alveolar lavage fluid can signifi-cantly improve etiological diagnostic performance for tuberculosis,which is worth promoting extensively in clinical practice.

Objective:To design an electronic nose that can detect and identify urinary volatile organic compounds (VOCs) as marker gases for bladder cancer.Methods:Isopropyl alcohol, ethylbenzene, acetic acid, and ammonia were selected as target gases, and 8 metal oxide gas sensors were used to construct sensor arrays for testing and collecting experimental data, and different characteristics were normalized. Recursive feature elimination (RFE) was used to select the best feature subset, and principal component analysis (PCA) and linear discriminant analysis (LDA) were further introduced to reduce the data dimension and facilitate visual analysis. In addition, three machine learning algorithms, including support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN), were combined to train and verify the model.Results:When the feature number was 12, the accuracy of the model classification had the best performance. The feature subset consisted of 5 differences, 5 sensitivities, and 2 integrals, and the data was reduced to 12 dimensions. Only PCA couldn’t distinguish the four gases. The LDA classification performance was significantly better than that of PCA, except that isopropyl alcohol and acetic acid had a small overlap area. LDA could distinguish ethylbenzene and ammonia from isopropyl alcohol and acetic acid; the sample points were gathered, which means the clustering performance was also better. The prediction accuracy of SVM, RF, and KNN was 0.85, 0.56, and 0.79, respectively. After model verification, the classification accuracy of PCA+SVM, LDA+RF, and LDA+KNN was 0.97, 0.94, and 0.97, respectively.Conclusions:An electronic nose was designed to detect and identify urinary VOCs marker gases for bladder cancer.