This review introduces the daily management practices related to laboratory animal licensing in Hubei Province and the supervision processes during and after licensing.We consider the current status of laboratory animal license management,achievements,problems,and countermeasures in Hubei Province,with a focus on analyzing the legislative situation for laboratory animals,the issuance and distribution of permits,the scale of facilities,and the composition of employees.The number of laboratory animal licenses issued in Hubei Province has recently been increasing year by year,and the numbers of animals produced and used by licensed units have also continued to rise.Although the related industries are flourishing however,there are some regulatory deficiencies.This paper considers the perspective of biosafety,combined with the problems encountered in license management,and proposes relevant safety supervision countermeasures and suggestions to promote the development of the laboratory animal industry in Hubei Province.

Objective:To evaluate the effect of preemptive analgesia with ibuprofen on postoperative pain following single posterior tooth implantation, aiming to provide a clinical reference for its application.Methods:A multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted. A total of 82 participants were included in the trial, meeting the eligibility criteria from April 2022 to April 2024 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), Beijing Chao-Yang Hospital, Capital Medical University (20 cases). Participants were randomly assigned in a 1∶1 ratio to either the ibuprofen group or the control group, with each group comprising 41 individuals. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups received the same postoperative analgesic regimen for 3 days. Pain scores were assessed using the numerical rating scale at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h postoperatively, and the additional use of analgesic medication was recorded from days 4 to 6 postoperatively.Results:A total of 82 participants were initially enrolled in the study, with 7 dropouts (4 from the control group and 3 from the ibuprofen group), resulting in 75 participants (37 in the control group and 38 in the ibuprofen group) completing the trial. There were no reports of adverse events such as nausea or vomiting among the participants. The ibuprofen group exhibited significantly lower pain scores at 4 h, 6 h and 8 h [1.0 (0.0, 2.0), 1.0 (0.0, 2.0), 1.5 (0.0, 3.0) ] postoperatively compared to the control group 4 h, 6 h and 8 h [2.0 (1.0, 3.0), 3.0 (1.5, 4.0), 2.0 (1.0, 4.0)] ( Z=-1.99, P=0.047; Z=-3.01, P=0.003; Z=-2.10, P=0.036). The proportions of patients requiring additional analgesic medication between days 4 and 6 post-surgery were 18.4% (7/38) in the ibuprofen group and 27.0% (10/37) in the control group, with no significant difference (χ 2=0.79, P=0.373). The median additional medication usage postoperatively was [0.0 (0.0, 0.0) pills] in the ibuprofen group and [0.0 (0.0, 1.0) pills] in the control group, with no significant difference ( Z=-0.78, P=0.439). Conclusions:Preemptive analgesia with ibuprofen effectively reduces postoperative pain following tooth implantation, representing a safe and effective perioperative pain management strategy.

Objective To construct evaluation indicators for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels and conduct preliminary verification,providing references for evaluating the level of construction of key specialties in traditional Chinese medicine nursing.Methods From December 2022 to March 2023,based on the Wuli-Shili-Renli system methodology,the content and weight of the evaluation indicators for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels were determined through literature review,semi-structured interviews,Delphi method,and analytic hierarchy process.Opinion consultation and satisfaction survey were conducted on 46 nursing managers of secondary and above traditional Chinese medicine hospitals in Chongqing in April 2023 to preliminarily verify the application effect of the indicators.Results After 2 rounds of consultation with 16 experts,the questionnaire response rates were 100％and 100％,respectively.The expert authority coefficients were 0.963 and 0.950,respectively,and the coordination coefficients were 0.216～0.307,0.134～0.144,respectively(P＜0.05).Ultimately,an evaluation index for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels was formed,which includes 3 primary indicators,17 secondary indicators,and 76 tertiary indicators.97.83％nursing managers of hospitals are satisfied with the constructed indicators,believing that the indicator content is clear,comprehensive,professional,and has good practicality.Conclusion The evaluation indicators for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels are scientific,reliable,which can provide references for the construction of key specialties in traditional Chinese medicine nursing and promote the development of traditional Chinese medicine nursing.

Objective To construct evaluation indicators for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels and conduct preliminary verification,providing references for evaluating the level of construction of key specialties in traditional Chinese medicine nursing.Methods From December 2022 to March 2023,based on the Wuli-Shili-Renli system methodology,the content and weight of the evaluation indicators for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels were determined through literature review,semi-structured interviews,Delphi method,and analytic hierarchy process.Opinion consultation and satisfaction survey were conducted on 46 nursing managers of secondary and above traditional Chinese medicine hospitals in Chongqing in April 2023 to preliminarily verify the application effect of the indicators.Results After 2 rounds of consultation with 16 experts,the questionnaire response rates were 100％and 100％,respectively.The expert authority coefficients were 0.963 and 0.950,respectively,and the coordination coefficients were 0.216～0.307,0.134～0.144,respectively(P＜0.05).Ultimately,an evaluation index for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels was formed,which includes 3 primary indicators,17 secondary indicators,and 76 tertiary indicators.97.83％nursing managers of hospitals are satisfied with the constructed indicators,believing that the indicator content is clear,comprehensive,professional,and has good practicality.Conclusion The evaluation indicators for the construction of key specialties in traditional Chinese medicine nursing at the provincial and municipal levels are scientific,reliable,which can provide references for the construction of key specialties in traditional Chinese medicine nursing and promote the development of traditional Chinese medicine nursing.

Objective To establish an individualized prediction model for medication compli-ance in epilepsy adult patients and verify its predictive effect.Methods A total of 192 epilepsy pa-tients were selected as study objects,the Morisky Medication Adherence Scale(MMAS)was applied to assess patients'medication compliance,and patients were divided into compliance group(MMAS score of 6 to 8 points)and control group(MMAS score＜6 points)based on their compliance status.The general information,disease information,medication information,and social support of patients were analyzed.Multiple Logistic regression analysis was applied to analyze the influencing factors of pa-tients'medication compliance,the rms program package in R software was applied to establish a column chart model for predicting medication adherence,and the area(AUC)under the receiver operating characteristic(ROC)curve and the calibration curve were used to test its discrimination and accuracy.Results Among the 192 patients,119(61.98％)had good medication adherence and 73(38.02％)had poor medication adherence.The main influencing factors of medication compliance in epilepsy patients included educational background,antiepileptic drug medication type,side effects of drugs,frequency of medication knowledge education,and social support(P＜0.05);a column chart model for medication compliance in epilepsy patients was constructed based on five predictive indicators,the results showed that the AUC was 0.830(95％CI,0.772 to 0.888),and the calibration curve and ideal curve trends were similar,the goodness of fit Hosmer-Lemeshow test showed that thechi-square value was 9.970 and P value was 0.267,indicating that the model had high discrimination and accu-racy.Conclusion The nomogram established based on educational background,administration of antiepileptic drug type,side effects of drugs,frequency of medication knowledge education,and social support has a good predictive value in medication compliance in epilepsy patients.

Objective To establish an individualized prediction model for medication compli-ance in epilepsy adult patients and verify its predictive effect.Methods A total of 192 epilepsy pa-tients were selected as study objects,the Morisky Medication Adherence Scale(MMAS)was applied to assess patients'medication compliance,and patients were divided into compliance group(MMAS score of 6 to 8 points)and control group(MMAS score＜6 points)based on their compliance status.The general information,disease information,medication information,and social support of patients were analyzed.Multiple Logistic regression analysis was applied to analyze the influencing factors of pa-tients'medication compliance,the rms program package in R software was applied to establish a column chart model for predicting medication adherence,and the area(AUC)under the receiver operating characteristic(ROC)curve and the calibration curve were used to test its discrimination and accuracy.Results Among the 192 patients,119(61.98％)had good medication adherence and 73(38.02％)had poor medication adherence.The main influencing factors of medication compliance in epilepsy patients included educational background,antiepileptic drug medication type,side effects of drugs,frequency of medication knowledge education,and social support(P＜0.05);a column chart model for medication compliance in epilepsy patients was constructed based on five predictive indicators,the results showed that the AUC was 0.830(95％CI,0.772 to 0.888),and the calibration curve and ideal curve trends were similar,the goodness of fit Hosmer-Lemeshow test showed that thechi-square value was 9.970 and P value was 0.267,indicating that the model had high discrimination and accu-racy.Conclusion The nomogram established based on educational background,administration of antiepileptic drug type,side effects of drugs,frequency of medication knowledge education,and social support has a good predictive value in medication compliance in epilepsy patients.