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 analyze the clinical significance of molecular classification and hereditary phenotype in endometrial carcinoma (EC) based on high throughput sequencing (NGS).Methods:97 EC samples were collected retrospectively from December 2019 to October 2022 in China-Japan Friendship Hospital. NGS technique was used to analyze the molecular classification, POLE hypermutation, microsatellite high Instability/mismatch repair dysfunction (MSI-H/MMRd), P53 protein abnormality (P53 abn), and non-specific molecular profile (NSMP). Lynch syndrome related genes and BRCA1/2 genes were detected by NGS and their genetic characteristics were analyzed. Results:Of the 97 EC cases, 77 were endometrial adenocarcinoma and 20 were other pathological subtypes. The proportions of the four molecular subtypes were 9.3% (9/97) POLE hypermutation, 16.5% (16/97) MSI-H, 17.5% (17/97) P53 abn and 56.7% (55/97) NSMP, respectively. There were significant differences in age, histological type, lymph node metastasis, pathological stage and other parameters among the four molecular types ( P＜0.05). 8.2% (8/97) were multiple molecular typing and four multiple molecular typings detected, including POLEmut-MSI-H, POLEmut-P53abn, MSI-H-P53abn, P53abn-P53abn, which accounted for 1.0% (1/97), 3.1% (3/97), 1.0% (1/97) and 3.1% (3/97), respectively. The consistent rate of MSI-H and MMR protein expression was 92.9% ( Kappa=0.818, P＜0.001). The coincidence rate between TP53 gene sequencing and P53 protein expression was 88.9% ( Kappa=0.661, P＜0.001). In MSI-H type, 25.0% (4/16) were diagnosed as Lynch syndrome, and 75.0% (12/16) were diagnosed as Lynch like syndrome. 7.2% (7/97) BRCA2 somatic variation was detected, while BRCA1/2 germline variation was not detected in 97 cases. Conclusions:EC molecular classification has feasibility and clinical value. High throughput sequencing can detect low frequency mutations of TP53 gene, suggesting that it can provide more accurate molecular information and more accurate molecular typing effect. It is suggested to further detect Lynch syndrome related genes in patients with MSI-H, so as to carry out genetic management for patients and their families and achieve better therapeutic effect.

Objective:To analyze the clinical significance of molecular classification and hereditary phenotype in endometrial carcinoma (EC) based on high throughput sequencing (NGS).Methods:97 EC samples were collected retrospectively from December 2019 to October 2022 in China-Japan Friendship Hospital. NGS technique was used to analyze the molecular classification, POLE hypermutation, microsatellite high Instability/mismatch repair dysfunction (MSI-H/MMRd), P53 protein abnormality (P53 abn), and non-specific molecular profile (NSMP). Lynch syndrome related genes and BRCA1/2 genes were detected by NGS and their genetic characteristics were analyzed. Results:Of the 97 EC cases, 77 were endometrial adenocarcinoma and 20 were other pathological subtypes. The proportions of the four molecular subtypes were 9.3% (9/97) POLE hypermutation, 16.5% (16/97) MSI-H, 17.5% (17/97) P53 abn and 56.7% (55/97) NSMP, respectively. There were significant differences in age, histological type, lymph node metastasis, pathological stage and other parameters among the four molecular types ( P＜0.05). 8.2% (8/97) were multiple molecular typing and four multiple molecular typings detected, including POLEmut-MSI-H, POLEmut-P53abn, MSI-H-P53abn, P53abn-P53abn, which accounted for 1.0% (1/97), 3.1% (3/97), 1.0% (1/97) and 3.1% (3/97), respectively. The consistent rate of MSI-H and MMR protein expression was 92.9% ( Kappa=0.818, P＜0.001). The coincidence rate between TP53 gene sequencing and P53 protein expression was 88.9% ( Kappa=0.661, P＜0.001). In MSI-H type, 25.0% (4/16) were diagnosed as Lynch syndrome, and 75.0% (12/16) were diagnosed as Lynch like syndrome. 7.2% (7/97) BRCA2 somatic variation was detected, while BRCA1/2 germline variation was not detected in 97 cases. Conclusions:EC molecular classification has feasibility and clinical value. High throughput sequencing can detect low frequency mutations of TP53 gene, suggesting that it can provide more accurate molecular information and more accurate molecular typing effect. It is suggested to further detect Lynch syndrome related genes in patients with MSI-H, so as to carry out genetic management for patients and their families and achieve better therapeutic effect.

Objective:To investigate the early recognition of coronary artery lesions(CAL)in Kawasaki disease(KD)and its relationship with monocyte/high-density lipoprotein cholesterol(HDL-C)ratio(MHR).Methods:A total of 216 children with KD who were hospitalized in Affiliated Hospital of Nantong University from June 2019 to June 2022 were selected as the research subjects,and divided into training set(162 cases)and test set(54 cases).The clinical data of the children were collected,and the children in the training set were divided into the CAL group(45 cases)and the NCAL group(117 cases)according to the diagnostic results of echo-cardiography,and the differences in clinical data and laboratory test results were compared between the two groups;Logistic regres-sion analysis was used to analyze the risk factors of CAL in children with KD;Pearson was used to analyze the correlation between MHR and CAL in children with KD.According to the MHR quantile,the children in the CAL group were divided into low MHR group(≤0.28),medium MHR group(0.29～0.42)and high MHR group(≥0.43),and they were analyzed and compared.Cox regression model was used to analyze the relationship between MHR and CAL risk in children with KD,and a predictive model was constructed based on the independent risk factors of CAL in children with KD.Results:There were 162 KD children with fever,and summer was a high incidence period;compared with the NCAL group,the CAL group had statistically significant differences in age,gender,fever time,KD type,MHR,WBC,PLT,NLR,and CRP(all P<0.05);Pearson correlation analysis showed that MHR was positively cor-related with the degree of coronary artery dilatation in children with CAL(r=0.743,P=0.001).and the risk of CAL in the KD children in the high MHR group was significantly higher than that in the low MHR group(HR=2.857,95%CI:1.329～6.431,P=0.003);Logis-tic regression analysis showed that gender,fever time,MHR,WBC,NLR and CRP were independent risk factors for CAL in children with KD.A prediction model was constructed based on the independent risk factors of CAL:Logit(P)=1.342+0.359×gender+0.181×ever time+1.064×MHR+0.459×WBC+0.146×NLR+0.211×CRP,P=e logit(P)/1+e logit(P),the AUC of this model was 0.874(95%CI:0.799～0.892),compared with the test set(AUC was 0.881,95%CI:0.785～0.913),the difference was not statistically sig-nificant(P>0.05);the AUC of MHR for predicting CAL in children with KD was 0.796,the sensitivity was 0.896,and the specificity was 0.824,which could be used as an early predictor of CAL in children with KD.Conclusion:MHR has a certain predictive value in the diagnosis of CAL in children with KD,and can reflect the degree of CAL in children with KD to a certain extent.Therefore,it is necessary to pay attention to the changes of MHR in children with KD in clinical practice.

Objective:To investigate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with maintenance hemodialysis (MHD) in Jiangsu province during SARS-CoV-2 pandemic in China from December 7, 2022 to January 27, 2023, and to analyze the influencing factors of all-cause death.Methods:It was a multi-center cross-sectional investigation. Structured questionnaire was used to collect patient information by medical staff of each hemodialysis center (room) as investigators. Part of the demography data and laboratory examination data came from the Jiangsu Province Hemodialysis Data Information System. MHD patients from hemodialysis centers (rooms) at all levels of medical institutions and independent hemodialysis institutions in Jiangsu province during the outbreak of SARS-CoV-2 infection were included, and the clinical characteristics and all-cause mortality of confirmed and suspected cases of SARS-CoV-2 infection were analyzed.Results:Questionnaire surveys and data analysis on 57 278 patients in 407 hemodialysis centers (rooms) were completed, accounting for 90.41% of the total number of MHD patients (63 357 cases) in Jiangsu province during the same period. There were 24 038 cases (41.97%) of SARS-CoV-2 infection and 14 805 cases (25.85%) of suspected infection, which were widely distributed in all dialysis centers in Jiangsu province. After clinical classification of 38 843 confirmed and suspected SARS-CoV-2 infection cases, 3 662 cases were severe and critical cases, accounting for 9.43% of the infected and suspected cases. Among the patients who had completed the questionnaires, there were 1 812 all-cause deaths, with an all-cause mortality rate of 3.16%. Multivariate logistic regression analysis showed that elderly (taking ≤50 years as a reference, 51-59 years: OR=1.583, 95% CI 1.279-1.933, P=0.001; 60-69 years: OR=3.972, 95% CI 3.271-4.858, P<0.001; 70-79 years: OR=7.236, 95% CI 5.917-8.698, P<0.001; ≥80 years: OR=11.738, 95% CI 9.459-14.663, P<0.001), male ( OR=1.371, 95% CI 1.229-1.529, P<0.001), and co-infection with hepatitis B virus (HBV) (positive serum HBV surface antigen, OR=0.629, 95% CI 0.484-0.817, P<0.001) were independent influencing factors for all cause mortality. Receiver-operating characteristic curve analysis showed that the area under the curve for male, age and current HBV infection prediction of all-cause death was 0.529 ( P<0.001), 0.724 ( P<0.001) and 0.514 ( P=0.042), respectively, and the cut-off value for age prediction of all-cause death was 65.5 years old. Compared with patients without HBV infection, MHD patients with HBV infection significantly reduced the proportion of severe and critically ill patients, all-cause hospitalizations and all cause deaths when infected with SARS-CoV-2 (4.99% vs. 6.41%, χ2=6.136, P=0.013; 8.90% vs. 11.44%, χ2=11.662, P<0.001; 2.01% vs. 3.37%, χ2=10.713, P=0.001, respectively). Conclusion:The MHD patients in Jiangsu province are susceptible to SARS-CoV-2. Elderly age and male gender are independent risk factors for death in MHD patients during the epidemic, while the HBV infection may be a protective factor for death of MHD patients infected with SARS-CoV-2.

The potential medicinal value of Ma bamboo (Dendrocalamus latiflorus), one of the most popular and economically important bamboo species in China, has been underestimated. In the present study, we found that D. latiflorus leaf extract (DLE) reduced fasting blood glucose levels, body weight, and low-density lipoprotein cholesterol with low liver toxicity in db/db mice. In addition, gene expression profiling was performed and pathway enrichment analysis showed that DLE affected metabolic pathways. Importantly, DLE activated the AKT signaling pathway and reduced glucose production by downregulating glucose-6-phosphatase (G6PC) and phosphoenolpyruvate carboxykinase 1 (PCK1) expression. Moreover, network pharmacology analysis identified rutin as an active component in DLE through targeting insulin growth factor 1 receptor (IGF1R), an upstream signaling transducer of AKT. Due to its hypoglycemic effects and low toxicity, DLE may be considered an adjuvant treatment option for type 2 diabetes patients.

The study is designed to explore new methods of evaluation for teachers′ comprehensive ability in general medicine. In the whole education process of resident aiming at general practitioner (GP) residency post competency, the authors made comprehensive evaluation of GP faculty, and created a comprehensive GP faculty evaluation model of result orientation. The efforts aim at exploring and introducing faculty evaluation methods and promoting education quality, in order to develop outstanding GP residents of strong post competency.

Objective:To explore the value of plasma soluble leukocyte differentiation antigen 14 subtype(Presepsin) combined with neutrophil gelatinase associated lipocalin(NGAL) in the early diagnosis and prognosis of sepsis in children.Methods:A total of 94 children with sepsis admitted to our hospital from June 2017 to October 2020 were selected, 41 children with shock were classified as septic shock group, and 53 children without shock were classified as sepsis group.Another 41 healthy children in our hospital during the same period were selected as the control group.The plasma levels of Presepsin, NGAL, procalcitonin(PCT) and C-reactive protein(CRP)were detected in three groups.The pediatric critical illness score and sequential organ failure(SOFA)score of children with sepsis were recorded.According to the mortality of the children within 28 days of admission, they were divided into survival group( n=75)and death group( n=19). The plasma levels of Presepsin, NGAL, PCT and CRP, pediatric critical illness score and SOFA score were compared between the survival group and the death group.Pearson test and receiver operating characteristic curve were used to analyze the correlation between plasma Presepsin, NGAL and pediatric critical illness score, SOFA score, and the predictive value of early diagnosis and prognosis of sepsis in children. Results:The levels of plasma Presepsin, NGAL, PCT and CRP in sepsis group and septic shock group were higher than those in control group, and those in septic shock group were higher than those in sepsis group( P<0.05). The plasma levels of Presepsin, NGAL, PCT, CRP and SOFA scores in death group were higher than those in survival group, and the pediatric critical illness score in death group was lower than that in survival group( P<0.05). Plasma Presepsin and NGAL were negatively correlated with pediatric critical illness score( r=-0.676, P<0.001; r=-0.664, P<0.001), and positively correlated with SOFA score( r=0.781, P<0.001; r=0.749, P<0.001). When the plasma Presepsin level was 468.91 ng/L, the sensitivity of area under curve(AUC) for sepsis diagnosis was 85.6% and the specificity was 77.5%.When the plasma NGAL level was 38.94 ng/mL, the sensitivity of AUC for sepsis diagnosis was 82.4%, and the specificity was 65.8%.The AUC of plasma Presepsin combined with NGAL for early diagnosis of sepsis was 0.912(95% CI 0.865 to 0.959), which was higher than of plasma Presepsin of 0.857(95% CI 0.785 to 0.928) and the AUC of NGAL of 0.761(95% CI 0.680 to 0.841). When the plasma Presepsin level was 816.92 ng/L, the sensitivity for predicting the prognosis of sepsis was 73.2% and the specificity was 76.1%.When the plasma NGAL level was 51.27 ng/mL, the sensitivity for predicting the prognosis of sepsis was 67.4% and the specificity was 68.0%.The AUC of plasma Presepsin combined with NGAL to predict the prognosis of sepsis was 0.891(95% CI 0.816 to 0.966), which was higher than the AUC of plasma Presepsin of 0.795(95% CI 0.698 to 0.892) and NGAL of AUC 0.714(95% CI 0.577 to 0.851). Conclusion:Clinical detection of plasma Presepsin and NGAL levels is helpful to early diagnosis of sepsis and judge the severity of the disease in children, which has guiding significance in evaluating the prognosis, and is beneficial to improve the prognosis.

Objective: To investigate the feasibility and efficacy of percutaneous closure of paravalvuar leak (PVL) in patients after heart valve replacement surgery using Amplatzer vascular plug Ⅲ (AVP Ⅲ). Methods: In this retrospective study, consecutive PVL patients after heart valve replacement surgery receiving percutaneous closure with AVP Ⅲ in Beijing Anzhen hospital between March 2017 and October 2018 (n=21) were enrolled.The preoperative and intraoperative data and short-and mid-term outcome results were analyzed. Results: Theage of patients in this cohort was (54.9±11.7) years, and there were 12 (57.1%) male patients. There were 8 patients (38.1%) post mitral valve replacement, 4 patients (19.0%) post aortic valve replacement and 9 patients (42.9%) post double valves replacements.There were 14 cases (66.7%) of mitral valve PVL,6 cases (28.6%) of aortic valve PVL, and 1 case (4.8%) of double valves PVL.Successful device deployment was accomplished in 18 defects from 17 PVL patients. Technical successful rate of mitral valve PVL closure and aortic valve PVL closure was 12/15 and 6/7,respectively. One patient received surgical repair due to procedure-induced femoral pseudoaneurysm.There were 17 cases of severe PVL and 1 case of moderate PVL before procedure, and there were 2 cases of moderate PVL, 6 cases mild PVL, and PVL disappeared in 10 cases after procedure (P<0.01 vs. pre-procedure). The follow-up time was (8.3±4.7) months. There were 10 cases (58.8%) of New York Heart Association (NYHA) function grade Ⅲ and 7 cases (41.2%) of NYHA function grade Ⅳ before procedure, and there were 12 cases of NYHA function grade Ⅰ(70.6%) and 5 cases (29.4%) of NYHA function grade Ⅱ post procedure (P<0.01). Post procedure, there was no displacement of the occluder and heart valve movement was not affected,and there was no new hemolysis or hemolysis worsening. Conclusion Percutaneous closure of PVL in patients after heart valve replacement surgery with AVP Ⅲ is feasible, and associated with favorable short-and mid-term clinical outcomes.