Objective:To construct a biosafety evaluation index system for major emergency public health events in medical institutions.Methods:Based on previous laboratory biosafety evaluation work, relevant regulations and standards on biosafety in China were collected through literature research and expert consultations. Candidate indicators for constructing the biosafety evaluation system for major emergency public health events in medical institutions were selected, and a framework was established. Two rounds of expert questionnaires were conducted to determine the content of the index system based on experts′ evaluation, and each indicator′s relevance and importance were scored. Finally, two rounds of Delphi consultations were carried out, and the Analytic Hierarchy Process (AHP) was applied to calculate the weights of indicators.Results:The response rates for the total four rounds of questionnaire surveys were all 100%. The first two rounds focused on determining the framework, while the latter two focused on determining the weights for each indicator. The authority coefficients of the expert consultations for the two rounds of weights were 0.65 and 0.70, respectively, indicating the reliability of the research results. In the final round of survey, the Kendall′s coefficients of concordance at each level were all greater than 0.1. Through statistical testing, the P-values were all less than 0.05, indicating good coordination of expert opinions. Ultimately, we established an operational biosafety evaluation system for major emergency public health events in medical institutions, consisting of 4 primary indicators, 26 secondary indicators, and 119 tertiary indicators, with additional deduction items, bonus items, unacceptable items, and monitoring indicators.Conclusions:Based on scientific theory, a biosafety evaluation system for major emergency public health events in medical institutions was constructed, achieving the integration of routine and emergency measures. This system can be used for self-assessment of laboratory biosafety during emergency public health events, addressing the lack of unified standards in biosafety evaluation. Through regular self-assessment, it can enhance the level of biosafety management in medical institution laboratories, to realize the value of application and dissemination.

Objective:To construct a biosafety evaluation index system for major emergency public health events in medical institutions.Methods:Based on previous laboratory biosafety evaluation work, relevant regulations and standards on biosafety in China were collected through literature research and expert consultations. Candidate indicators for constructing the biosafety evaluation system for major emergency public health events in medical institutions were selected, and a framework was established. Two rounds of expert questionnaires were conducted to determine the content of the index system based on experts′ evaluation, and each indicator′s relevance and importance were scored. Finally, two rounds of Delphi consultations were carried out, and the Analytic Hierarchy Process (AHP) was applied to calculate the weights of indicators.Results:The response rates for the total four rounds of questionnaire surveys were all 100%. The first two rounds focused on determining the framework, while the latter two focused on determining the weights for each indicator. The authority coefficients of the expert consultations for the two rounds of weights were 0.65 and 0.70, respectively, indicating the reliability of the research results. In the final round of survey, the Kendall′s coefficients of concordance at each level were all greater than 0.1. Through statistical testing, the P-values were all less than 0.05, indicating good coordination of expert opinions. Ultimately, we established an operational biosafety evaluation system for major emergency public health events in medical institutions, consisting of 4 primary indicators, 26 secondary indicators, and 119 tertiary indicators, with additional deduction items, bonus items, unacceptable items, and monitoring indicators.Conclusions:Based on scientific theory, a biosafety evaluation system for major emergency public health events in medical institutions was constructed, achieving the integration of routine and emergency measures. This system can be used for self-assessment of laboratory biosafety during emergency public health events, addressing the lack of unified standards in biosafety evaluation. Through regular self-assessment, it can enhance the level of biosafety management in medical institution laboratories, to realize the value of application and dissemination.

Objective::To determine whether deep learning algorithms are suitable for predicting preterm birth.Methods::A retrospective study was conducted at Peking University Third Hospital from January 2018 to June 2023. Birth data were divided into two parts based on the date of delivery: the first part was used for model training and validation, while real world viability was evaluated using the second part. Four machine learning algorithms (logistic regression, random forest, support vector machine, and transformer) were employed to predict preterm birth. Receiver operating characteristic curves were plotted, and the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated.Results::This research included data on 30,965 births, where 24,770 comprised the first part, and included 3164 (12.77%) in the preterm birth group, with 6195 in the second part, including 795 (12.83%) in the preterm birth group. Significant differences in various factors were observed between the preterm and full-term birth groups. The transformer model (AUC = 79.20%, sensitivity = 73.67%, specificity = 72.48%, PPV = 28.21%, NPV = 94.95%, and accuracy = 72.61 % in the test dataset) demonstrated superior performance relative to logistic regression (AUC = 77.96% in the test dataset), support vector machine (AUC = 71.70% in the test dataset), and random forest (AUC = 75.09% in the test dataset) approaches.Conclusion::This study highlights the promise of deep learning algorithms, specifically the transformer algorithm, for predicting preterm birth.

Objective::To determine whether deep learning algorithms are suitable for predicting preterm birth.Methods::A retrospective study was conducted at Peking University Third Hospital from January 2018 to June 2023. Birth data were divided into two parts based on the date of delivery: the first part was used for model training and validation, while real world viability was evaluated using the second part. Four machine learning algorithms (logistic regression, random forest, support vector machine, and transformer) were employed to predict preterm birth. Receiver operating characteristic curves were plotted, and the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated.Results::This research included data on 30,965 births, where 24,770 comprised the first part, and included 3164 (12.77%) in the preterm birth group, with 6195 in the second part, including 795 (12.83%) in the preterm birth group. Significant differences in various factors were observed between the preterm and full-term birth groups. The transformer model (AUC = 79.20%, sensitivity = 73.67%, specificity = 72.48%, PPV = 28.21%, NPV = 94.95%, and accuracy = 72.61 % in the test dataset) demonstrated superior performance relative to logistic regression (AUC = 77.96% in the test dataset), support vector machine (AUC = 71.70% in the test dataset), and random forest (AUC = 75.09% in the test dataset) approaches.Conclusion::This study highlights the promise of deep learning algorithms, specifically the transformer algorithm, for predicting preterm birth.

Objective To observe the changes of tissue morphology and ultrastructure of kidney in the rat model of acute necrotizing pancreatitis (ANP),and to investigate the protein expression of glycogen synthase kinase-3β(GSK-3β) and phosphorylated GSK-3βin renal tissue.Methods Sixty SPF male SD rats were randomly divided into 5 groups (n =12 for each group) according to random number method,including control group,ANP 3 h,6 h,12 h,24 h groups.ANP model was established by retrograde infusion of 5％ sodium taurocholate solution into the biliopancreatic duct.Rats were sacrificed at corresponding time points to collect pancreatic and left renal tissue.Serum amylase (AMY),lipase (LIPA),creatinine (Cr) and urea nitrogen (BUN) levels were detected.Pancreatic and renal tissues were routinely pathologically examined.Rephrocytes' ultrastructure changes were observed by projection electron microscope.GSK-3β protein expression and phosphorylated GSK-3β(p-GSK-3β) in kidney tissue were quantified by Western-blot.Results Serum AMY,LIPA,Cr,Bun and pathological scores for pancreatic and renal tissues in ANP groups were obviously higher than those in control group,which increased gradually with the progress of pancreatitis.In ANP rats,it was observed that the microvilli on the surface of the epithelial cells of renal tubules were swelling and irregularly arranged,the nucleus was condensed and broken,the nuclear chromatin was condensed and separated from the nuclear membrane,the mitochondria was condensed,swelling and vacuolated.The expression levels of GSK-3β protein in the renal tissue of the control group and ANP 3 h,6 h,12 h,24 h groups were 0.702± 0.044,0.876± 0.017,0.872± 0.034,0.855± 0.035 and 0.852± 0.032,respectively.The expression levels of p-GSK-3β were 0.626 ± 0.029,0.790 ± 0.029,0.616 ± 0.021,0.448 ±0.028 and 0.439 ± 0.017.GSK-3β protein expression was higher in ANP group than in control group,and the difference was statistically significant (all P ＜ 0.05).But there was no statistically significant difference at different time points in ANP group.p-GSK-3β protein expression increased at 3 h after modeling,and then gradually decreased.p-GSK-3β protein expression was higher in ANP 3 h group than control group and other ANP groups,which in ANP 12 h,24 h group was obviously lower than control group and ANP 3 h,6 h group,and the difference was statistically significant (P ＜ 0.05).Conclusions GSK-3β expression in the kidney of ANP rats began to increase at 3 h after modeling and maintain a high level.p-GSK-3β was transiently increased at 3 h after modeling and then gradually decreased to a level obviously lower than control group.It indicated that these changes may play a crucial role in ANP associated kidney injury.

Objective To investigate the characteristics of common causes of acute pancreatitis (AP) in China and to evaluate the association of the aetiology with the severity of disease.Methods The relevant literature was searched from the China National Knowledge Infrastructure (CNKI) database (1989.1-2015.3),WANFANG database (1999.1-2015.3),VIP database (1994.1-2015.3),and China Academic Journal Network Publishing Database (CAJD).To collect related literature about aetiology and the severity of acute pancreatitis,Meta analysis was performed for gallstone,alcohol,hyperlipidemia and other AP from the aspects of the severity of disease in the literature which reaches the criteria.Results The Meta analysis included 24 clinical articles which were accordance with the criteria,totally 17359 patients,including 8673 cases of biliary AP [6690 cases of mild acute pancreatitis (MAP),1983 cases of acute necrotizing pancreatitis (ANP)],1408 cases of alcoholic AP (1022 cases of MAP,386 cases of ANP),1753 cases of hyperlipidemia AP (1107 cases of MAP,646 cases of ANP),and 5525 cases of other aetiology (4179 cases of MAP,1346 cases of ANP).The Meta analysis showed that among the common causes which was developed to AP,there was significant difference between biliary AP and alcohol AP (OR =0.65,95％ CI:0.45 ～0.93,P ＜ 0.05).There was significant difference between biliary AP and hyperlipidemia AP (OR =0.51,95％ CI:0.33 ～0.79,P ＜0.05).However,there was no significant difference between alcoholic AP with hyperlipidemia AP (OR =0.70,OR =0.70,95％ CI:0.46 ～ 1.05,P ＞ 0.05).Conclusions There is difference in the severity of AP caused by different reasons in China.There is more likely that hyperlipidemia AP and alcohol AP easily developed into ANP than biliary AP.However,further investigation and large-scale clinical trials will be needed to confirm this conclusion.

Objective:To optimize the extraction technology of radix scutellariae. Methods: The extraction of radix scutellariae was scanned by ultraviolet spectrophotometry from 200 to 400nm. The content of baicalin was determined by HPLC. The ultraviolet ab-sorption, baicalin content and extraction rate were used as the indices, and the optimal extraction conditions were investigated by single factor experiments and orthogonal design tests. Results: The optimal extraction conditions were as follows: the ethanol concentration was 60%, the solid-liquid ratio was 1∶40, ultrasound extraction time and temperature was 40 min and 60℃, respectively. Conclusion:The extraction of radix scutellariae has good sunscreen with promising ultraviolet absorption in UVB. Ultrasound extraction has high ex-traction yield with short time, which can be used to extract sun-screening constituents from radix scutellariae.

Objective To evaluate the curative effect of relaxing music applied in complex wisdom teeth extraction.Methods A total of 200 patients with complex wisdom teeth were selected and divided into A,B groups,relaxing music was applied in group A 30 minutes before and during teeth extraction,while group B underwent teeth extraction directly.Beck Anxiety Inventory (BAI) and Visual Analogue Scale (VAS) were selected as the measuring tools of anxiety and pain intensity.Parameters including blood pressure (BP),heart rate (HR) and respiratory rate (RR) were measured before relaxing music application and after.Results After informed their disease condition,the score of BAI of group A and B was (52.18 ± 10.75),(52.41 ± 14.08),respectively,and no significant difference was found (t =0.13,P ＞ 0.05).While 30 minutes after they listened to relaxing music,the score of BAI of group A and B was (38.24 ±6.59) and (54.12 ±9.95),and group A was better than group B,and the difference was statistically significant (t =13.31,P ＜ 0.05).After the operation,the score of VAS in group A was significantly better than that in group B [(1.96 ± 0.84) vs (3.42 ±0.91) ;t=11.79,P＜0.05)].Conclusions Relaxing music could effectively relieve the anxiety and uncomfortable from complex wisdom teeth extraction.