ObjectiveTo find out whether there is any difference in the monitoring results of mosq-ovitraps placed in different orientations in multi-storey residential areas, so as to provide a scientific basis for routine and emergency monitoring of Aedes albopictus with mosq-ovitraps in residential areas. MethodsFrom July 6th to October 26th 2023, one mosquito ovitrap was set up in each of the 4 orientations of east, south, west and north around the buildings in a multi-storey residential area in Jinhui Town, Fengxian District, Shanghai. Data was collected and recorded 72 hours after placement. The chi-square test was used to compare the mosquito ovitrap indices (MOIs) of two independent samples, and the Kruskal⁃Wallis H test was used to compare the MOIs of multiple independent samples. ResultsAfter 16 weeks of surveillance, 997 mosquito ovitraps were recovered, of which 211 were positive, with the mosquito ovitrap index (MOI) of 21.16% and the Aedes albopictus density index of 1.03 mosquitoes·ovitrap^-1. The MOIs were higher in September (24.22%) and October (23.96%), and the MOIs in the west, south and north within the two months were all above 20.00%. From July to October, the MOIs in the east, west, south and north were 20.70%, 22.20%, 25.50% and 16.20%, respectively, and the difference in MOIs among the 4 orientations was not statistically significant (χ²=6.647, P=0.084). Stratified analysis by month showed that in August, the south side of the multi-storey residential areas had the highest MOI (31.30%), the north side had the lowest MOI (1.30%), and there was a statistically significant difference in MOI in the east, west, south and north (χ²=25.986, P<0.001). In October, the MOI in the west was the highest (33.30%) and the MOI in the east was the lowest (6.30%), the difference in MOIs of the 4 orientations was statistically significant (χ²=12.007, P=0.007). The MOIs in the south side of the building in the outskirts of the residential area from the 1st week in July to the 4th week in October was lower (19.20%) than that in the south side of the inner building (31.70%), and the difference in MOI was statistically significant (χ²=5.118, P=0.024). ConclusionThe study of MOI in different orientations in a multi-storey residential area is a preliminary exploration based on field work, and the results show that there is a difference in MOIs in different orientations during the peak breeding period of mosquitoes. Further indicators such as temperature, humidity and wind speed in different orientations can be collected to explore the influencing factors of MOIs.

Nuclear factor κB(NF-κB),the activation of signaling pathways is closely related to the development of chronic inflammation.Multiple pro-inflammatory factors activate NF-κB kinase inhibitor ε/TANK binding kinase 1(IKKε/TBK1),pancreatic islets β cellular dysfunction or loss leads to type 2 diabetes mellitus(T2DM).Inhibiting or blocking IKKε/TBK1 can reduce the production of inflammatory factors,lower insuin resistance,improve insulin sensitivity,and reduce the occurrence of T2DM.This article reviews the action mechanism based on inflammatory response ε/research progress on the mechanism of action IKKε/TBK1 pathway in T2DM.

Objective To develop a core outcome set(COS)for clinical effectiveness trials of heart failure with preserved ejection fraction(HFpEF).Methods Outcome measures were collected through database literatures search,clinical experts questionnaire survey and semi-structured patients interview.Then,the outcome measures pool was constructed and domains were divided.Candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,a consensus meeting was held to determine COS and reach a consensus.Results A total of 317 outcome measures which could be divided into 6 domains were collected through literature research,questionnaire survey and semi-structured interview.15 candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,the consensus meeting reached consensus on a COS with 6 entries.Conclusion In this study,a COS for clinical effectiveness trials of HFpEF was developed,which is conducive to the standardization of efficacy evaluation.

Objective To develop an automatic segmentation network for thyroid nodules by integrating wavelet transform and CNN-Transformer in order to improve the efficiency and accuracy of ultrasound image segmentation.Methods A total of 1 371 sets of ultrasound images of thyroid nodules were collected from Department of Ultrasonography of Second Affiliated Hospital of Army Medical University between May 2023 and February 2024.After preprocessing and normalization,the data were divided into training,validation,and testing sets in a ratio of 8∶1∶1.Based on UNet,CNN and Swin-Transformer were used in parallel as the encoder,with a wavelet transform module inserted between the encoder and decoder to construct a thyroid nodule segmentation network.The performance of the segmentation model was evaluated on the collected internal dataset using accuracy,IoU,and Dice coefficient metrics.Results The finally verified 1 371 sets of ultrasonic thyroid nodules had an average Dice coefficient of 79.63%and an IoU of 67.30%.Compared with UNet,the segmentation accuracy was improved by 1.02%.The segmentation model obtained accurate location and smooth edges of thyroid nodules,and the segmentation was more consistent in thyroid nodule edge and morphology with those marked by doctors manually when compared with other segmentations.Compared with UNet,this segmentation method can learn the texture of nodules more fully and avoid the situation that nodules had been incorrectly divided into surrounding tissues.Conclusion Our developed segmentation model based on wavelet transform and CNN-Transformer demonstrates better segmentation accuracy in comparison to conventional UNet variants,such as UNet,Attention-UNet,and UNetv2,and medical segment anything models like SAM Med2D.This segmentation method enables accurate segmentation of ultrasound thyroid nodules,thereby enhancing clinical workflow efficiency through automated precise delineation.

Objective:To establish a quality and safety evaluation index system for the daytime chemotherapy in the Day Medical Management Quality Control Center of Fujian Province, providing references for objectively evaluating the quality of day chemotherapy.Methods:From December 2023 to August 2024, this study screened the initial indexes of the quality and safety evaluation index system for daytime chemotherapy through literature search and expert discussions. An index system and its weights were determined by using two rounds of Delphi method and precedence chart method. The quality of daytime chemotherapy services in 8 hospitals was evaluated by using a thousand point scale checklist based on this index system.Results:The expert motivation of both rounds of Delphi method was 100%, and the expert authority coefficient was 0.92. The quality and safety evaluation index system for daytime chemotherapy included 3 first-level indicators, 13 second-level indicators, and 54 third-level indicators; Among them, the weights of the first-level indicator included structure quality, process quality, and result quality were 0.334, 0.556, and 0.110, respectively. The quality and safety scores of daytime chemotherapy in 8 hospitals ranged from 812 to 980 points, with an average of 933 points.Conclusions:The quality and safety evaluation index system for daytime chemotherapy could objectively and comprehensively evaluate the quality and safety of hospital daytime chemotherapy.

To enhance hospital operational management capability,the sample hospital initiated a financial talent development program aligned with current development needs and policy directions.This program established a talent development framework encompassing hierarchical training,employment mechanisms,and digital empowerment,forming a three-tier financial talent echelon comprising senior,intermediate,and junior professionals.It effectively facilitated the transformation of financial functions toward"strategic support,business service,risk prevention and control,and value creation".It analyzes the hospital's practical experience in financial talent development,aiming to offer insights for financial workforce development in public hospitals.These efforts synergize with the modernization of governance systems and capabilities in health economics,driving high-quality development in public healthcare institutions.

Objective:Mendelian randomization analysis (MR) was used to investigate the causal association between nine cathepsins and cholelithiasis.Methods:Single nucleotide polymorphism (SNP) sites closely associated and mutually independent with nine cathepsins and cholelithiasis were screened out from the Genome-Wide Association Study database and the FinnGen Biobank database, respectively. SNP corresponding to exposure factors were selected as instrumental variables. Two-sample bidirectional MR analysis was conducted with methods of inverse variance weighted (IVW), weighted median and MR-Egger regression. Additionally, multivariable Mendelian randomization (MVMR) was conducted to estimate the direct effect of cathepsins on cholelithiasis. Cochran's Q test, MR-PRESSO method and MR Egger regression were used to evaluate the levels of heterogeneity and pleiotropy. And the leave-one-out method was performed for the sensitivity analysis. Results:The univariable Mendelian randomization analysis results indicated that elevated cathepsin B levels increased the overall risk of cholelithiasis (IVW: OR=1.054, 95% CI: 1.025-1.083, P<0.001). The reverse MR analyses did not support a causal effect of cholelithiasis on cathepsin B (IVW: OR=0.998, 95% CI: 0.920-1.083, P=0.969). A multivariable analysis showed that elevated cathepsin B levels were still strongly associated with an increased risk of cholelithiasis (IVW: OR=1.038, 95% CI: 1.003-1.073, P=0.031). None evidence of significant pleiotropy and heterogeneity was observed, which was verified by sensitivity analysis. Conclusion:Cathepsin B may serve as a marker for cholelithiasis, and has important guiding significance in cholelithiasis treatment.

Objective:To investigate the current status of subjective well-being among stroke patients, and to explore the pathways and effects of influencing factors using structural equation model, so as to provide reference for improving subjective well-being among stroke patients.Methods:From July to November 2024, the stroke patients admitted to the First Affiliated Hospital of Bengbu Medical University, the Second Affiliated Hospital of Bengbu Medical University, Hefei First People′s Hospital were selected by convenience sampling method. A cross-sectional survey was conducted using a general demographic questionnaire, General Well-Being Scale, Cognitive Reserve Index questionnaire, Social Support Rating Scale, Stroke Symptom Cluster Scale, and FRAIL Scale, and AMOS 26.0 was used to analyse the pathways and effects of influencing factors of subjective well-being.Results:A total of 435 questionnaires were collected, 410 were valid.Among 410 cases, 266 case were males, 144 were females, with an age of (65.96 ± 12.15) years. The subjective well-being scores of stroke patients were (72.58 ± 11.66) points. Cognitive reserve and social support were positively correlated with subjective well-being ( r = 0.517, 0.554, both P<0.01), while symptom burden and frailty were negatively correlated with subjective well-being ( r = -0.687, -0.670, both P<0.01). Path analysis showed that symptom burden, frailty, cognitive reserve, and social support had a direct impact on subjective well-being (path coefficients were -0.500, -0.266, 0.148, and 0.144, respectively, all P<0.05), while cognitive reserve, social support, and symptom burden had an indirect impact on subjective well-being (path coefficients were 0.287, 0.249, and 0.108, respectively, all P<0.05). Conclusions:The subjective well-being of stroke patients is influenced by multiple factors, with symptom burden being an important factor affecting subjective well-being. Intervention strategies such as improving cognitive reserve, strengthening social support systems, and preventing frailty can improve the subjective well-being of patients.

Objective To investigate the efficacy and safety of Linggui Qihua No.2 Prescription(LGQH2)in patients with heart failure with preserved ejection fraction(HFpEF).Methods Totally 60 HFpEF patients were randomly divided into experimental group and control group according to random number table method,with 30 patients in each group.On the basis of standardized treatment for heart failure,the experimental group was given LGQH2 granules,13 g/time,twice a day,orally;the control group was given placebo granules of LGQH2,with the same administration method as the experimental group.The treatment course for both groups was 4 weeks.6-minute walking distance(6MWD),Kansas City Cardiomyopathy Questionnaire(KCCQ)score,TCM syndrome score and serum NT-proBNP levels.Echocardiography was used to detect the ratio of early diastolic blood flow velocity(E)at the mitral valve to early diastolic myocardial motion velocity(e')at the mitral annulus,left atrial diameter(LAD),left ventricular end-diastolic diameter(LVEDD)and interventricular septal thickness(IVST).Adverse reactions and events were also recorded.Results Compared with before treatment,both groups showed significant improvement in 6MWD,KCCQ score,TCM syndrome score,serum NT proBNP,and E/e'after treatment(P<0.05),and there was no statistical significance in LAD,LVEDD and IVST between the two groups(P>0.05);after treatment,the experimental group showed better improvement in 6MWD,KCCQ score,TCM syndrome score and E/e'compared to the control group(P<0.05).During the research process,neither group of patients experienced any adverse reactions or events.Conclusion LGQH2 Prescription can effectively enhance exercise tolerance and cardiac function of HFpEF patients,alleviate symptoms,improve quality of life,and inhibit diastolic dysfunction of the heart,without notable adverse reactions.

Objective To construct an XGBoost predictive model using clinical characteristic data from patients with chronic obstructive pulmonary disease(COPD)and evaluate the efficacy of the predictive model in early risk prediction of lung cancer occurrence in COPD patients.Methods In this retrospective cross-sectional study,cluster sampling was used.We selected clinically diagnosed COPD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2018,to December 31,2022.A total of 4 008 patients with complete data were included.First,the baseline of each characteristic was analyzed,and then XGBoost was used to construct the lung cancer risk prediction model for COPD patients,and SHAP(SHapley Additive exPlanation)value was used to quantify and attribute the importance of each characteristic.DC A curve was used to evaluate the clinical application value.Results After constructing a lung cancer risk model for COPD patients using 28 variables,eight variables were selected according to the importance of the variables and clinical experience,and the prediction model was reconstructed.The model efficacy in the training set and the test set was 0.948(0.938,0.958)and 0.797(0.738,0.856),respectively.SHAP diagram showed that elevated CEA,CA125,FIB,eosinophils,PLT and D-dimer and reduced TT all contributed to an increased risk of lung cancer in COPD patients.DCA curve showed that the prediction model had clinical application value,which could help doctors make more accurate prognosis prediction and treatment decisions.Conclusion The successful establishment of an XGBoost predictive model,utilizing a subset of features,enables early prediction of lung cancer occurrence in COPD patients.