Objective:To investigate the factors influencing the decision to delivery interval (DDI) in emergency cesarean section in Guangzhou and the impact of DDI on maternal-infant outcomes.Methods:A retrospective study was conducted on clinical data of pregnant women who underwent emergency cesarean section at municipal and district maternal and child health hospitals in Guangzhou city in 2021. Per the classification method of emergency cesarean section and recommendations for DDI provided by National Institute for Health and Clinical Excellence guidelines, these subjects were classified into Category Ⅰ and Category Ⅱ cesarean sections. Each category was further divided into two subgroups based on DDI: the Category Ⅰ group into >30 min and ≤30 min subgroups, and the Category Ⅱ group into >75 min and ≤75 min subgroups. Chi-square test or Fisher's exact test, two independent samples t-test, Mann-Whitney U test, and logistic regression were used to analyze the potential factors influencing DDI and the impact of DDI on maternal-infant outcomes. Results:(1) Totally 502 women underwent urgent cesarean section, including 304 (60.6%) Category Ⅰ and 198 (39.4%) Category Ⅱ, were analyzed. Among the Category Ⅰ group, 30.3% (92/304) achieved a DDI of ≤30 min, while 37.4% (74/198) of Category Ⅱ cases had a DDI of ≤75 min. (2) For the Category Ⅰ cases, multivariate logistic regression showed that more patients under intravertebral anesthesia, than those under general anesthesia, had a DDI >30 min ( OR=14.04, 95% CI: 6.14-32.10) as well as more with ward-based emergencies than those with delivery room emergencies ( OR=3.21, 95% CI: 1.72-6.00, both P=0.001). Among the Category Ⅱ cases, logistic regression revealed that cesarean section during routine working hours was more likely to achieve DDI >75 min than that during resting hours ( OR=3.93, 95% CI: 2.03-7.63, P=0.001). The risk of DDI >75 min was higher in tertiary maternal and child health hospitals compared with secondary maternal and child health hospitals ( OR=2.45, 95% CI: 1.06-5.70, P=0.037). (3) Among the Category Ⅰ cases, compared with the DDI ≤30 min group, the DDI >30 min group had a lower risk of neonatal Apgar score ≤7 at 1 min ( OR=0.31, 95% CI: 0.14-0.69, P=0.004), but there was no significant difference in the risk of neonatal Apgar score ≤7 at 5 min ( OR=0.21, 95% CI: 0.04-1.17) or neonatal asphyxia ( OR=0.32, 95% CI: 0.07-1.44) between the two subgroups. In cases of Category Ⅱ cesarean sections, there was no significant difference in any maternal-infant outcomes between DDI ≤75 min and DDI >75 min subgroups. Conclusions:The location of emergency and types of anesthesia are the influencing factors of DDI for Category Ⅰ cesarean sections, while the operation time and level of maternal and child health hospital are the influencing factors of DDI for Category Ⅱ cesarean sections. We did not find any impact of DDI on maternal or infant outcome.

Objective:To explore the value of machine-learning models based on magnetic resonance imaging(MRI)radiomics features for the preoperative prediction of the blood supply in pituitary neuroendocrine tumors.Methods:A retrospective analysis was performed on the clinical and imaging data of 136 patients with pathologically confirmed pituitary neuroendocrine tumors(diameter>10 mm)from April 2013 to April 2023 at Yi Jishan Hospital of Wannan Medical College.Based on the intraoperative findings,the patients were assigned into richly vascularized(n=50)and normally vascularized(n=86)groups.All patients were allocated randomly in a 7:3 ratio into a training(n=96)or a validation group(n=40).Three machine-learning algorithms,multivariate Logistic regression(LR),random forest(RF),and support vec-tor machine(SVM),were used to establish radiomics prediction models.Receiver operating characteristic(ROC)curves were plotted to eval-uate the diagnostic performance of the models;decision curve analysis(DCA)was used to assess the net clinical benefit of the models.Res-ults:The clinical model achieved areas under the ROC curve(AUC)of 0.74 and 0.82 in the training and validation groups,respectively.The radiomics models using T1-weighted imaging(WI),T2WI,T1WI-enhanced,and combined sequences achieved AUCs of 0.80,0.84,0.82,and 0.84 in the training group and 0.82,0.80,0.85,and 0.83 in the validation group,respectively.The LR,RF,and SVM models had AUCs of 0.85,0.87,and 0.84 in the training group and 0.85,0.85,and 0.83 in the validation group,respectively.All radiomics models demonstrated great-er diagnostic efficacy than the clinical model.DCA indicated that the LR,SVM,and combined-sequence models achieved good net clinical be-nefits;the LR model showed the best results.Conclusions:Machine-learning models based on MRI radiomics exhibit high predictive value,surpassing the clinical judgment of radiologists based on MRI images alone,and offer a favorable net clinical benefit.

Objective: Investigation on the quality control method of bacterial endotoxin in betahistine hydrochloride injection.
Methods: The method of bacterial endotoxin gel test of 23 batches of betahistine hydrochloride injection from 5 manufacturers was studied.
Results: The limit value of endotoxin in this product was 3 EU·mg^-1, which was suitable for the bacterial endotoxin test of China Pharmacopoeia 2020.
Conclusion: The quality of betahistine hydrochloride injection can be controlled by bacterial endotoxin test, and the limit of bacterial endotoxin can be set as follows: the content of endotoxin in every 1mg of betahistine hydrochloride should not exceed 3 EU.

Objective:To investigate the effects of cannabidiol(CBD)on the NOD-like receptor protein 3(NLRP3)inflammasome in the brains of rats with multiple cerebral concussions(MCC).Methods:Rats were subjec-ted to the MCC model and divided into Sham,MCC,vehicle(MCC+TW),CBD-L(10 mg/kg),and CBD-H(40 mg/kg)groups.Immunofluorescence double staining was used to observe changes in NLRP3 and microglial cells in the brain,and Western Blot was performed to detect the expression changes of the NLRP3 inflammasome.Results:A sig-nificant increase in lectin-positive microglial cells of the cortex with enlarged cell bodies and elevated immunofluores-cence intensity of NLRP3 in the activated microglial cells was revealed by immunofluorescence double staining following MCC(P＜0.05).The immunofluorescence intensity of NLRP3 in the activated microglial cells was downregulated by the administration of CBD,with a more pronounced effect observed in the CBD-H group compared to the CBD-L group(P＜0.05).The expression of NLRP3,caspase-1,and apoptosis-associated speck-like protein(ASC)in the cortex,hippocampus,and basal ganglia of rats following MCC was significantly increased,as shown by Western Blot analysis(P＜0.05),and cortical areas are more elevated.The expression of these proteins in different brain regions was reduced by CBD-10 and CBD-40 intervention(P＜0.05).Conclusion:Cannabidiol can reduce the inflammatory response of multiple cerebral concussions rats through NLRP3 inflammasome and protect nerve tissue.

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009—2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

Objective It evaluates the high-quality development policies of public hospitals at the provincial level in China,and provides theoretical basis and countermeasures for formulating and optimizing the high-quality develop-ment policies of public hospitals.Methods The ROST CM 6.0 software was used to conduct text mining for 11 sample policies,and the Policy Modeling Consistency(PMC)index model was constructed to evaluate the sample policies quantitatively.Results The average PMC index of 11 sample policies included in the study was 7.16 points,of which 8 were excellent grades and 3 were qualified grades.The first-level variables X5 service system(0.82),X8 Party leadership(0.91)and X6 organization and operation(0.94)scored higher;X2 policy timeliness(0.52),X7 cultural construction(0.68)and X4 service capability(0.71)scored low.Conclusion The content of the high-quality develop-ment policy of public hospitals at the provincial level is basically in line with the national policy,and is relatively excel-lent in the aspects of organization and operation,service system and party leadership,etc.,but there are some weaknesses in the aspects of policy timeliness,cultural construction and service capacity,etc.,which can be op-timized and improved from the aspects of improving service capacity,supplementing long-term policies and strengthening hospital cultural construction.

Objective To explore the high-quality development path of tertiary public hospitals and provide scientific reference for deepening the reform of public hospitals.Methods Based on SPO theory,it constructed an analytical framework for the high-quality development of tertiary public hospitals,collected data of a quarterly monitoring in-dex for the performance assessment and high-quality development of tertiary public hospitals in a certain province in 2023,and analysed 73 tertiary public hospitals participating in the performance assessment as the object of analy-sis,and adopted the fuzzy-set Qualitative Comparative Analysis to explore different condition sets of high-quality de-velopment of tertiary public hospitals and reveal the path of high-quality development of public hospitals.Results High-quality development is the result of multi-factor interaction.Four configurations were identified to promote the high-quality development of tertiary public hospitals:service quality-technology-driven path,service quality-driven path,comprehensive service-driven path,and service quality-benefit-driven path.Quality safety and functional orientation were found to be the core elements in promoting high-quality development of public hospitals.Conclusion Hospitals at all levels should strengthen the guidance of party building,combine with the actual functional positioning,take quality and safety as the core,and optimize the combination conditions of technical level,personnel structure,service process,and cost control.It is essential to clarify the development strategy of hospitals,implement the dynamic concept,and realize the high-quality development of public hospitals.

Objective To empirically analyze the status quo of high-quality development of public hospitals in S Province,provides reference for promoting high-quality development of public hospitals.Methods SPSS 26.0 soft-ware and text analysis method were used to process the high-quality development monitoring data of tertiary public hospitals in S Province,and the qualitative interview results obtained by field investigation were comprehensively ana-lyzed.Results In terms of capacity improvement,public hospitals actively take measures such as the construction of medical union and the reform of payment methods to improve their capacity.Specialized hospitals and maternity and child care hospitals need to be improved in some indicators.In terms of structural optimization,the quality of medi-cal services is high in all regions.The proportion of medical service revenue and the proportion of high-grade surgery still need to be increased.In terms of innovation and efficiency improvement,the application level of electronic medi-cal records has made remarkable progress in various regions.There are differences in the funding of scientific re-search projects.In terms of cultural cohesion,patient satisfaction was higher.There is improvement room in the satisfaction of medical staff.Conclusion Third-level public hospitals in S province have achieved certain results in high-quality de-velopment,but there are still problems,such as the need to further integrate party building work with hospital busi-ness work,the lack of connection between performance incentive and performance evaluation index system,and the need to improve the satisfaction of medical staff.It is necessary to solve the problem and improve the quality and efficiency of medical service.

Objective To sort out and quantitatively evaluate the policies of"Internet+Nursing Service",and provide reference for the formulation and improvement of policies.Methods It uses ROST CM 6.0 software to mine the text data of 6"Internet+Nursing service"policies,constructs Policy Modeling Consistency(PMC)index model,and uses 9 first-class variables and 43 second-class variables to quantitatively evaluate the"Internet+Nursing service"policies.Results Among the 6 policies,1 policies were of good grade,5 policies were of acceptable grade,and the mean value of PMC index was 6.40,which was at the level of qualified or above,with higher scores on the primary variables X7 policy tools(0.95),X1 policy nature(0.92)and X9 policy evaluation(0.83),and lower scores on X8 incentive methods(0.63),X2 issuing organizations(0.58),and X5 policy timeliness(0.25).Conclusion The construction of the policy framework of"Internet+Nursing Service"in China is in the exploratory stage,and there is still room for improvement.It is recommended to improve the continuity and standardization of"Internet+Nursing Service"through rational planning of policy timing,comprehensive implementation of division of labour and coordination,and adoption of diversified incentives,etc.,so as to facilitate the high-quality development of public hospitals.

Objective It evaluates the high-quality development policies of public hospitals at the provincial level in China,and provides theoretical basis and countermeasures for formulating and optimizing the high-quality develop-ment policies of public hospitals.Methods The ROST CM 6.0 software was used to conduct text mining for 11 sample policies,and the Policy Modeling Consistency(PMC)index model was constructed to evaluate the sample policies quantitatively.Results The average PMC index of 11 sample policies included in the study was 7.16 points,of which 8 were excellent grades and 3 were qualified grades.The first-level variables X5 service system(0.82),X8 Party leadership(0.91)and X6 organization and operation(0.94)scored higher;X2 policy timeliness(0.52),X7 cultural construction(0.68)and X4 service capability(0.71)scored low.Conclusion The content of the high-quality develop-ment policy of public hospitals at the provincial level is basically in line with the national policy,and is relatively excel-lent in the aspects of organization and operation,service system and party leadership,etc.,but there are some weaknesses in the aspects of policy timeliness,cultural construction and service capacity,etc.,which can be op-timized and improved from the aspects of improving service capacity,supplementing long-term policies and strengthening hospital cultural construction.