Objective To search for independent predictive factors of diabetic kidney disease(DKD)in patients with type 2 diabetes mellitus(T2DM),construct and validate an optional machine learning(ML)model for the risk of DKD.Methods A total of 528 patients with T2DM,hospitalized in the Endocrinology Department of Chengde Central Hospital from October 2019 to September 2020,were selected as the study objects,and patients were randomly divided into a training set(370 cases),and a validation set(158 cases).The training set was divided into the DKD group(89 cases)and the non-DKD group(281 cases)according to whether DKD existed.The general data and diagnostic examination of patients were performed by univariate analysis,in which variables with statistical differences were used to screen the best predictors by least absolute shrinkage and selection operator(LASSO)regression analysis.The best predictors were used to establish eight ML algorithms by three cross-validation methods,including Logistic regression(LR),K-nearest neighbor(KNN),support vector machine(SVM),decision tree(DT),random forest(RF),naive Bayes(NB),artificial neural network(ANN),and extreme gradient lift(XGBoost).The optimal prediction model was selected by receiver operating characteristic(ROC)curve,Delong test and GiViTI calibration curve.Decision curve analysis(DCA)was used to evaluate the clinical practicability of the model.Results Age,alanine aminotransferase,creatinine,triglyceride,cystatin C,25-hydroxy vitamin D and monocyte count were independent predictive factors of DKD.Eight ML models were established based on the above 7 predictors,and the ANN model performed best in the 8 ML models.The GiViTiI calibration curve indicated that the model had good accuracy(P＞0.05),and the DCA showed that the prediction model curve had clinical practical value in the threshold probability range of 0.027-0.612.Conclusion In this study,the ANN model constructed in this study to predict the risk of DKD is helpful for early discrimination of high-risk T2DM patients with DKD.

Objective To explore the effects and influencing factors of traditional occupational health training on occupational health literacy (OHL) of employees in micro-, small- and medium-sized enterprises. Methods A total of 540 employees from 154 micro-, small- and medium-sized enterprises, who participated (347 employees) and not-participated (193 employees) in traditional occupational health training, and 171 community residents/students (not-participated in occupational health training) were selected as the research subjects using the convenient sampling method. The OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of employees was 43.3% (234/540). Among them, the overall OHL level of untrained and trained employees was 38.9% and 45.8%, respectively, and the overall OHL level of community residents/students was 43.3%. The results of multivariate logistic regression analysis showed that the higher the educational level, the higher the OHL level (all P<0.01). The OHL level of untrained and trained employees was higher than that of untrained community residents/students (all P<0.05). The interaction of education level and training status had no statistical difference on the OHL level of the research subjects (P>0.05). The results of factorial design analysis of variance showed that the overall OHL score rate of untrained employees and trained employees was higher than that of untrained community residents/students (all P<0.05). However, there was no significant difference in overall OHL score rate between untrained and trained employees (P>0.05). Conclusion The role of traditional occupational health training in improving the OHL level of employees in micro-, small- and medium-sized enterprises needs to be improved. The responsibility of enterprise occupational health training should be implemented, and multiple measures should be taken to enrich the ways and approaches of occupational health education for enterprise employees, to effectively improve the OHL of workers.

General Biology is basic discipline in Environmental Science and Engineering, which lays a basis for the specialized courses in this major. As the course involves a wide range of knowledge, traditional "cramming education" cannot attract the interest of students. To meet the needs of talents against the backdrop of "double world-class project", our teaching team applied the "double-cycle teaching mode" of blended teaching in the first class along with ideological education, professional education, innovation and entrepreneurship education in the second class of this course. With this method, major headway has been made in this course. This study is expected to serve as a reference for reform in other relevant courses.
Biology ; Curriculum ; Humans ; Students ; Universities

Objective:To observe the efficacy and safety of decitabine combined with chemotherapy in treatment of relapsed/refractory T lymphoblastic lymphoma/leukemia (T-LBL/ALL) with TP53 mutation.Methods:The clinical data of a T-LBL/ALL patient with TP53 mutation who had recurrence after allogeneic hematopoietic stem cell transplantation (allo-HSCT) treated with decitabine combined with chemotherapy in the First Affiliated Hospital of Soochow University in June 2018 were retrospectively analyzed and the relevant literature was reviewed.Results:The patient, a 42-year-old male, diagnosed as T-LBL/ALL with TP53 mutation by comprehensive examination underwent sibling-matched donor allo-HSCT after a second complete remission. The patient relapsed 8 months later and was treated with decitabine combined with CLAG regimen to achieve complete remission again. And then, he had leukemia-free survival until now through maintenance treatment with decitabine.Conclusion:Decitabine combined with chemotherapy may be a safe and effective treatment option for relapsed T-LBL/ALL patients with TP53 mutation after allo-HSCT.

Objective:To establish a speech recognition system based on adaptive technology and to evaluate its value in pathological grossing processes.Methods:A total of 600 tissue specimens were collected at the Zhejiang Provincial People's Hospital affiliated to Hangzhou Medical College between October 1, 2020 and December 31, 2020. A speech recognition system based on adaptive technology was used in the pathological grossing processes, and the pathological examination reports were generated and extracted.Results:The speech recognition system based on adaptive technology showed a good recognition rate (overall recognition rate = 77.87%) and helped achieve rapid input and output of pathological examination data.Conclusions:The speech recognition system can reduce the labor costs, improve the work efficiency of pathologists and increase the quality of medical services, which may be valuable for building next-generation smart hospitals.

Emerging and re-emerging RNA viruses occasionally cause epidemics and pandemics worldwide, such as the on-going outbreak of the novel coronavirus SARS-CoV-2. Herein, we identified two potent inhibitors of human DHODH, S312 and S416, with favorable drug-likeness and pharmacokinetic profiles, which all showed broad-spectrum antiviral effects against various RNA viruses, including influenza A virus, Zika virus, Ebola virus, and particularly against SARS-CoV-2. Notably, S416 is reported to be the most potent inhibitor so far with an EC of 17 nmol/L and an SI value of 10,505.88 in infected cells. Our results are the first to validate that DHODH is an attractive host target through high antiviral efficacy in vivo and low virus replication in DHODH knock-out cells. This work demonstrates that both S312/S416 and old drugs (Leflunomide/Teriflunomide) with dual actions of antiviral and immuno-regulation may have clinical potentials to cure SARS-CoV-2 or other RNA viruses circulating worldwide, no matter such viruses are mutated or not.
Animals ; Antiviral Agents ; pharmacology ; therapeutic use ; Betacoronavirus ; drug effects ; physiology ; Binding Sites ; drug effects ; Cell Line ; Coronavirus Infections ; drug therapy ; virology ; Crotonates ; pharmacology ; Cytokine Release Syndrome ; drug therapy ; Drug Evaluation, Preclinical ; Gene Knockout Techniques ; Humans ; Influenza A virus ; drug effects ; Leflunomide ; pharmacology ; Mice ; Mice, Inbred BALB C ; Orthomyxoviridae Infections ; drug therapy ; Oseltamivir ; therapeutic use ; Oxidoreductases ; antagonists & inhibitors ; metabolism ; Pandemics ; Pneumonia, Viral ; drug therapy ; virology ; Protein Binding ; drug effects ; Pyrimidines ; biosynthesis ; RNA Viruses ; drug effects ; physiology ; Structure-Activity Relationship ; Toluidines ; pharmacology ; Ubiquinone ; metabolism ; Virus Replication ; drug effects

Objective Using Wisconsin Stone Quality of Life questionnaire (WISQOL) to compare standard percutaneous nephrolithotomy(PCNL) and tubeless PCNL.Methods From January 2017 to June 2017,patients who met the criteria (no urinary tract infection,stones between 1-3 cm,hydronephrosis larger than 3cm,renal cortex thickness ＞ 2 cm and without serious heart,lung,liver and kidney dysfunction and coagulation dysfunction) and underwent PCNL were prospectively enrolled and randomized into 2 groups,standard PCNL group and tubeless PCNL group.Diclofenac sodium suppositories were used to relieve pain in all patients with obvious pain.The quality of life of these patients were estimated and compared by using WISQOL.Safety and efficacy were also estimated.Result At the end of the study,a total of 50 patients were included in the analysis.There were 24 patients in the standard PCNL group and 26 patients in the tubeless PCNL group.There were 9 male patients in the standard PCNL group and 17 male patients in the tubeless PCNL group.There was no significant difference in gender between the two groups.The differences between the standard PCNL group and tubeless PCNL group in mean age (yrs.) [(53.21 ±13.35) vs.(51.1 ± 11.5),P =0.55],stone diameter (mm) [(18.46 ± 5.58) vs.(18.75 ± 5.39),P =0.85],stone-free rate (23/24 vs.24/26,P =0.60),mean hemoglobin decline (g/L) [(11.87 ± 9.20)vs.(10.43 ± 8.49),P =0.56] were not significant.Mean dosage of acesodyne(pcs) in tubeless PCNL group (4.07 ± 1.49) was significantly less than that in standard PCNL group (7.54 ± 2.23).There were no patient need transfusion or postoperative fever management.The influence of perioperative quality of life of patients treated with tubeless PCNL is significantly better than those treated with standard PCNL in 16 items which includ energy,sleep,work and family,physical symptoms,concerns related to intimacy and travel,and general emotional well-being.Conclusion Tubeless PCNL can improve patients' quality of life compared with standard PCNL.

Objective To explore the role of graph-text-combined health education in dieting health education for patients with hematologic diseases. Methods About 56 patients with hematologic diseases hospitalized in February 2015 were assigned as the control group and another 57 patients with the same diseases during March to April 2015 as the experiment group. In the control group, routine dieting health education was done and in the latter the graph-text-combined health education was used for the dieting health education. The two groups were compared in view of recognition on dieting knowledge, dieting compliance and patient's satisfaction level. Result The recognition on dieting knowledge, dieting compliance and patient's satisfaction level were all higher those of that the control group (P<0.05). Conclusions The graph-text-combined health education can improve the recognition on dieting knowledge, dieting compliance and patient's satisfaction level when it is used in the health education for the patients with hematologic diseases. Therefore, it is worth clinically popularizing.