Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

Objective To develop the Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre and provide a scientific and practical guidance for improving the quality of nursing in operating theatre.Methods The writing team established by the Operating Room Nursing Professional Committee of Guangdong Nursing Association conducted systematic literature retrieval and screening,and used the updated clinical Guidelines for Research and Evaluation Ⅱ in UK 2017.AGREE Ⅱ and the evidence evaluation system of the Australian JBI(Joanna Briggs Institute,JBI)Evidence-Based Health Care Center evidence level system(2016 Edition)comprehensively analyzed the evidence related to the sensitive indicators for evaluating the quality of operating room nursing and the suggestions of the writing group members.The first draft was formed based on the three-dimensional quality evaluation theoretical framework of"structure-process-result".Through the Delphi method,after two rounds of expert consultations and members'votes,the first draft was deeply revised and improved.Results Based on the three-dimensional quality evaluation theoretical framework of"structure-process-outcome"proposed by American scholar Donabedian,the expert consensus finally included five primary indicators:basic nursing quality,quality indicators of patient safety,quality indicators of hospital infection control,quality indicators of medication and safety management,and quality indicators of specialised nursing in operating theatre.The secondary indicators consisted of one structural indicator(management of commonly used instrument and equipment in operating theatre)and 17 process indicators(e.g.,infusion and blood transfusion management,body temperature management,etc.).The tertiary indicators included 26 process indicators and 11 outcome indicators(e.g.,incidence of adverse reactions of infusion during surgery,incidence of intra-operative hypothermia,etc.).Conclusion The evidence-and guideline-based Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre based on eviclence and guidelines was established through rigorous evidence-based methods.It is operational and practical,and offers theoretical support and practical guidance for the managers of operating theatre to improve the quality of nursing.

Tuberculosis (TB) remains a major global public health threat. The World Health Organization (WHO) 2020–2024 global TB reports provide a comprehensive overview of the TB situation from 2019 to 2023. In 2023, TB re-emerged as the world's leading infectious killer, with an estimated 10.8 million new cases. While the growth in the incidence rate slowed, the number of deaths decreased to 1.25 million. The COVID-19 pandemic significantly disrupted TB control efforts in 2020–2021. As control measures are gradually restored, a positive trend in TB control is emerging. However, significant regional disparities in incidence persist, with eight high-burden countries, including India and China, accounting for over two-thirds of the global total. In 2023, global treatment coverage for drug-resistant TB (DR-TB) was 44.00% with a treatment success rate of 68.00%; yet, with 400 000 new drug-resistant cases, the control situation remains severe. China has achieved remarkable progress in TB control: new cases fell to 741 000 in 2023 (an incidence of 52 per 100 000); mortality decreased significantly; its share of the global DR-TB burden dropped from 14.00% to 7.30%; and the TB/HIV co-infection rate declined from 1.68% in 2019 to 0.66% in 2023, outperforming the global average. Globally, control measures continue to be optimized: treatment coverage increased from 70.00% in 2019 to 75.00% in 2023, the number of people receiving preventive therapy grew to 4.7 million, and rapid diagnostic coverage reached 48.00%. In China, the number of patients treated recovered to 565 000 in 2023, and rapid diagnostic coverage rose to 74.00%. Although technological innovations have enhanced the efficiency of prevention, screening, diagnosis, treatment, and management, achieving the 2030 End TB Strategy goals will require strengthening TB management, building primary healthcare capacity, and targeting interventions for high-risk populations, while balancing resource allocation with technological innovation to address the challenges of a heterogeneous global epidemic.

Objective To investigate the value of serum long noncoding RNA small nucleolar RNA host gene 7(lncRNA SNHG7)and microRNA(miR)-34a-5p expression in the diagnosis and prognostic evaluation of bloodstream infection(BSI).Methods A total of 193 suspected BSI patients admitted to the emergency department of Guangxi Wuzhou Red Cross Hospital from March 2022 to March 2023 were collected as the study subjects.After diagnosis,BSI patients were included as the infection group(n=100),and non BSI patients were included as the non infection group(n=93).After 28 days of treatment,BSI patients were separated into a death group(n=32)and a survival group(n=68)based on their prognosis.The real time fluorgenic quantitative PCR(qRT-PCR)method was applied to detect the expression levels of serum lncRNA SNHG7 and miR-34a-5p.The Target Scan Human website was applied to predict the targeting relationship between miR-34a-5p and lncRNA SNHG7.Pearson method was applied to analyze the correlation between serum lncRNA SNHG7 level and miR-34a-5p level.Multivariate Logistic regression was applied to analyze the influencing factors of prognosis in patients with BSI.Receiver operating characteristic(ROC)curve was applied to analyze the prognostic value of serum lncRNA SNHG7 and miR-34a-5p.Results The serum lncRNA SNHG7 level(1.47±0.35)in the infection group was obviously higher than that in the non infection group(1.03±0.15),and the miR-34a-5p level(0.85±0.21)was obviously lower than that in the non infection group(1.02±0.13),and the differences were statistically significant(t=11.203,6.703,all P<0.05).Compared with survival group,the serum lncRNA SNHG(1.68±0.21 vs 1.37±0.19),C-reactive protein(CRP)(85.74±9.16mg/L vs 63.18±7.68mg/L),procalcitonin(PCT)levels(56.37±8.72ng/ml vs 34.69±5.54ng/ml),albumin(92.51±10.18g/L vs 65.27±7.24g/L),Acute Physiological and Chronic Health Evaluation(APACHE II)scores(28.15±5.12scores vs 16.35±4.31scores)of the death group were obviously higher,and serum miR-34a-5p level(0.67±0.14 vs 0.93±0.16)was obviously lower,the differences were statistically significant.(t=7.357～15.340,all P<0.05).LncRNA SNHG7 had a targeted binding site with miR-34a-5p,and lncRNA SNHG7 was negatively correlated with miR-34a-5p(r=-0.568,P<0.05).Serum lncRNA SNHG7 and miR-34a-5p were prognostic factors for BSI patients(all P<0.05).The area under the curve(AUC)of serum lncRNA SNHG7,miR-34a-5p,and their combined evaluation of prognosis in BSI patients was better than that of serum lncRNA SNHG7 and miR-34a-5p detected sepatately(Z=0.001,2.304,all P<0.05),with sensitivity and specificity of 78.12%and 97.06%,respectively.Conclusion The serum lncRNA SNHG7 level in BSI patients is obviously elevated,while the serum miR-34a-5p level is obviously reduced.The two are closely related to the prognosis of BSI patients,and the combination of the two has good evaluation value for the prognosis of BSI patients.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

Objective To develop the Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre and provide a scientific and practical guidance for improving the quality of nursing in operating theatre.Methods The writing team established by the Operating Room Nursing Professional Committee of Guangdong Nursing Association conducted systematic literature retrieval and screening,and used the updated clinical Guidelines for Research and Evaluation Ⅱ in UK 2017.AGREE Ⅱ and the evidence evaluation system of the Australian JBI(Joanna Briggs Institute,JBI)Evidence-Based Health Care Center evidence level system(2016 Edition)comprehensively analyzed the evidence related to the sensitive indicators for evaluating the quality of operating room nursing and the suggestions of the writing group members.The first draft was formed based on the three-dimensional quality evaluation theoretical framework of"structure-process-result".Through the Delphi method,after two rounds of expert consultations and members'votes,the first draft was deeply revised and improved.Results Based on the three-dimensional quality evaluation theoretical framework of"structure-process-outcome"proposed by American scholar Donabedian,the expert consensus finally included five primary indicators:basic nursing quality,quality indicators of patient safety,quality indicators of hospital infection control,quality indicators of medication and safety management,and quality indicators of specialised nursing in operating theatre.The secondary indicators consisted of one structural indicator(management of commonly used instrument and equipment in operating theatre)and 17 process indicators(e.g.,infusion and blood transfusion management,body temperature management,etc.).The tertiary indicators included 26 process indicators and 11 outcome indicators(e.g.,incidence of adverse reactions of infusion during surgery,incidence of intra-operative hypothermia,etc.).Conclusion The evidence-and guideline-based Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre based on eviclence and guidelines was established through rigorous evidence-based methods.It is operational and practical,and offers theoretical support and practical guidance for the managers of operating theatre to improve the quality of nursing.

Objective To investigate the value of serum long noncoding RNA small nucleolar RNA host gene 7(lncRNA SNHG7)and microRNA(miR)-34a-5p expression in the diagnosis and prognostic evaluation of bloodstream infection(BSI).Methods A total of 193 suspected BSI patients admitted to the emergency department of Guangxi Wuzhou Red Cross Hospital from March 2022 to March 2023 were collected as the study subjects.After diagnosis,BSI patients were included as the infection group(n=100),and non BSI patients were included as the non infection group(n=93).After 28 days of treatment,BSI patients were separated into a death group(n=32)and a survival group(n=68)based on their prognosis.The real time fluorgenic quantitative PCR(qRT-PCR)method was applied to detect the expression levels of serum lncRNA SNHG7 and miR-34a-5p.The Target Scan Human website was applied to predict the targeting relationship between miR-34a-5p and lncRNA SNHG7.Pearson method was applied to analyze the correlation between serum lncRNA SNHG7 level and miR-34a-5p level.Multivariate Logistic regression was applied to analyze the influencing factors of prognosis in patients with BSI.Receiver operating characteristic(ROC)curve was applied to analyze the prognostic value of serum lncRNA SNHG7 and miR-34a-5p.Results The serum lncRNA SNHG7 level(1.47±0.35)in the infection group was obviously higher than that in the non infection group(1.03±0.15),and the miR-34a-5p level(0.85±0.21)was obviously lower than that in the non infection group(1.02±0.13),and the differences were statistically significant(t=11.203,6.703,all P<0.05).Compared with survival group,the serum lncRNA SNHG(1.68±0.21 vs 1.37±0.19),C-reactive protein(CRP)(85.74±9.16mg/L vs 63.18±7.68mg/L),procalcitonin(PCT)levels(56.37±8.72ng/ml vs 34.69±5.54ng/ml),albumin(92.51±10.18g/L vs 65.27±7.24g/L),Acute Physiological and Chronic Health Evaluation(APACHE II)scores(28.15±5.12scores vs 16.35±4.31scores)of the death group were obviously higher,and serum miR-34a-5p level(0.67±0.14 vs 0.93±0.16)was obviously lower,the differences were statistically significant.(t=7.357～15.340,all P<0.05).LncRNA SNHG7 had a targeted binding site with miR-34a-5p,and lncRNA SNHG7 was negatively correlated with miR-34a-5p(r=-0.568,P<0.05).Serum lncRNA SNHG7 and miR-34a-5p were prognostic factors for BSI patients(all P<0.05).The area under the curve(AUC)of serum lncRNA SNHG7,miR-34a-5p,and their combined evaluation of prognosis in BSI patients was better than that of serum lncRNA SNHG7 and miR-34a-5p detected sepatately(Z=0.001,2.304,all P<0.05),with sensitivity and specificity of 78.12%and 97.06%,respectively.Conclusion The serum lncRNA SNHG7 level in BSI patients is obviously elevated,while the serum miR-34a-5p level is obviously reduced.The two are closely related to the prognosis of BSI patients,and the combination of the two has good evaluation value for the prognosis of BSI patients.

ObjectiveTo investigate the effect of Shugan Quyu Jiedu prescription （SGQYJDF） on inducing ferroptosis in hepatocellular carcinoma cells based on the tumor protein 53 （p53）/solute carrier family 7 member 11 （SLC7A11）/glutathione peroxidase 4 （GPX4） pathway. MethodMHCC97H cells were divided into the blank serum group （10% blank serum medium）， SGQYJDF-containing serum low concentration group （5% SGQYJDF-containing serum and 5% blank serum medium）， SGQYJDF-containing serum medium concentration group （7.5% SGQYJDF-containing serum and 2.5% blank serum medium）， SGQYJDF-containing serum high concentration group （10% SGQYJDF-containing serum medium） and sorafenib group （sorafenib concentration of 10 μmol·L^-1 in 10% blank serum medium）. After 24 hours of intervention， the cell survival rate was detected by cell counting kit-8 （CCK-8） assay. The cell proliferation ability was detected by 5-ethynyl-2′-deoxyuridine （EdU） staining. The intracellular ferrous ion （Fe²⁺） level was detected by ferrous ion fluorescent probe （FerroOrange） staining. The intracellular malondialdehyde （MDA） and glutathione （GSH） levels were detected by colorimetric assays. The ultrastructure of mitochondria was observed by transmission electron microscopy. The expression levels of ferroptosis-related proteins p53， SLC7A11 and GPX4 were detected by Western blot. ResultIn terms of cell viability， compared with the blank serum group， the SGQYJDF group showed a dose-dependent decrease in the survival rate of MHCC97H cells. Effect of the medium and high concentrations of SGQYJDF on the survival rate of MHCC97H cells were significantly decreased （P<0.01）. Additionally， the results of the EdU assay showed that both the medium and high concentrations of SGQYJDF were able to inhibit the proliferation ability of MHCC97H cells （P<0.05， P<0.01）. Regarding the biochemical indicators of ferroptosis， compared to the blank serum group， the medium and high concentrations of SGQYJDF were able to dose-dependently increase the intracellular Fe²⁺ level （P<0.01）. The low， medium， and high concentrations of SGQYJDF were able to dose-dependently decrease the level of GSH in MHCC97H cells （P<0.01） and increase the level of MDA in the cells （P<0.05， P<0.01）. In terms of pathway-related protein expression， compared to the blank serum group， the medium and high concentrations of SGQYJDF could significantly increase the expression of p53 （P<0.01）. The low， medium， and high concentrations of SGQYJDF could significantly decrease the expression of GPX4 （P<0.01）. The high concentration of SGQYJDF could decrease the expression of SLC7A11 （P<0.01）. In terms of the cell morphology of ferroptosis， compared with the blank serum group， transmission electron microscopy revealed that the low concentration of SGQYJDF caused mitochondrial deformation， while the medium and high concentrations of SGQYJDF resulted in reduced mitochondrial volume， increased double-layer membrane density， and decreased mitochondrial cristae. These features were similar to those of sorafenib-induced ferroptosis. Furthermore， compared with the sorafenib group， the high concentration of SGQYJDF showed no statistically significant differences in cell survival rate， proliferation ability， Fe²⁺ level， MDA level， and GSH level. ConclusionThe results suggest that SGQYJDF may induce ferroptosis and inhibit proliferation in hepatocellular carcinoma MHCC97H cells by upregulating the expression of p53， suppressing the expressions of GPX4 and SLC7A11， downregulating the level of GSH， and leading to the accumulation of intracellular Fe²⁺ and MDA.

Objective To investigate the effectiveness of team-based learning(TBL)combined with research-based learning(RBL)in enhancing evidence-based nursing practice skills of undergraduate nursing interns.Methods A total of 114 undergraduate nursing students who interned in the operating room of a ⅢA hospital in Guangzhou from July 2021 to April 2022 were selected as study subjects.A randomized cluster sampling method based on a random number table was used to divide the students into a control group and a trial group.The control group received traditional teaching methods,while the trial group was taught using a combination of TBL and RBL.The two groups were compared in terms of evidence-based practice skills,critical thinking abilities,and their evaluations on the teaching methods.Results The differences in evidence-based practice skills and critical thinking abilities before and after the internship were significantly higher in the observation group compared to the control group(t=35.108,35.897;both P<0.05).Additionally,post-internship evaluation scores for the teaching methods in the trial group were significantly higher than those in the control group(t=-17.580,P<0.05).Conclusion TBL combined with RBL effectively enhances the evidence-based nursing practice skills and critical thinking abilities of undergraduate nursing interns.This approach also improves students'evaluations on the teaching methods and fosters the cultivation of excellent clinical evidence-based nursing professionals.

Objective To explore the value of quantitative CT(QCT)for assessing complications of type 2 diabetes mellitus(T2DM).Methods Totally 220 T2DM patients were included and divided into uncomplicated group(n=40),mono-complicated group(n=84)and multi-complicated group(n=96).Bone mineral density(BMD)of L2—L4,as well as visceral adipose tissue(VAT)and subcutaneous adipose tissue(SAT)area were collected using QCT and compared among groups.The operator characteristic curves were drawn,and the area under the curves(AUC)were calculated to observe the value of QCT indicators and comprehensive model based on clinical indicators and QCT indicators for evaluating complications of T2DM.Decision curve analysis(DCA)and clinical impact curve(CIC)analysis were used to analyze the clinical application value of the comprehensive model.Results Significant differences of patients’age,lumbar BMDs and areas of VAT were found among 3 groups(all P＜0.05).The AUC of comprehensive model for differentiating uncomplicated group from mono-complicated group,uncomplicated group from multi-complicated group and mono-complicated group from multi-complicated group was 0.753,0.865,and 0.761,respectively,higher than that of BMD,VAT and SAT area(all P＜0.05).DCA and CIC analyses showed that comprehensive model yielded clinical benefits and had good clinical applicability for assessing complications of T2DM.Conclusion QCT was valuable for assessing complications of T2DM.