Objective To investigate the correlation of human epididymis protein 4(HE4)with proteinuria in patients with type 2 diabetes mellitus(T2DM).Methods A total of 147 T2DM patients from January 2020 to July 2023 in Jiujiang NO.l People's Hospital were enrolled in observation group.According to the severity of proteinuria,observation group was divided into three groups:Normal albuminuria group(101 cases),microalbuminuria group(25 cases),and massive albuminuria group(21 cases).50 healthy examinees with gender and age matching during the same period were selected as control group.HE4 levels and clinical indicators in each group were compared and analyzed.Correlation between HE4 and proteinuria was analyzed by using univariate and multivariate linear regression.Results The correlation network diagram reveals that HE4 functions was a pivotal node linking serum albumin,urinary microalbumin,urinary microalbumin-to-creatinine ratio(UACR),and renal function biomarkers.Compared to control group,HE4 levels significantly elevated in observation group(P＜0.01).Both univariate and multivariate linear regression analysis demonstrate a positive correlation between HE4 and UACR.Logistic regression analysis shew that after adjusting for confounding factors including age,gender,estimated glomerular filtration rate(eGFR),albumin(ALB),blood urea nitrogen(BUN),serum creatinine(SCr),uric acid(UA),lactate dehydrogenase(LDH)etc.elevated HE4 levels was a risk factor for proteinuria(OR=1.110,95％CI:1.005-1.226).Conclusion Elevated HE4 levels in patients with T2DM is positivly correlated with UACR.Increase its level increases the risk of proteinuria in T2DM patients.

Objective:To develop a deep learning model based on multimodal data for glaucoma diagnosis and severity assessment.Methods:A diagnostic test was conducted.A total of 145 normal eyes from 86 participants and 507 eyes with primary open-angle glaucoma from 314 participants were collected at the First Affiliated Hospital of Kunming Medical University from June to December in 2023.Fundus photographs and visual field data were obtained, and glaucoma eyes were divided into three groups based on the mean deviation value of the visual field, namely mild group (154 eyes), moderate group (113 eyes), and severe group (240 eyes).Three convolutional neural network (CNN) models, including DenseNet 121, ResNet 50 and VGG 19, were used to build an artificial intelligence (AI) model.The impact of single-modal and multimodal data on the classification results was evaluated, and the most appropriate CNN network architecture for multimodal data was identified.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of The First Affiliated Hospital of Kunming Medical University (No.2023L93).Written informed consent was obtained from each subject.Results:A total of 652 eyes had both fundus photographs and visual field test results.Images were randomly assigned to training and test datasets in a 4∶1 ratio by using computer random number method.AI models built with different CNN models showed high accuracy, with DenseNet 121 outperforming ResNet 50 and VGG 19 on various effectiveness measures.In the single-modal algorithm using fundus photographs, single-modal algorithm using visual field tests, and multimodal algorithm combining fundus photographs and visual field data, the area under the curve for early glaucoma detection was 0.87, 0.93 and 0.95, respectively.Conclusions:The use of multimodal data enables the development of a highly accurate tool for the glaucoma diagnosis and severity grading.

Objective:To evaluate the application effect of intelligent digital technology combined with quality control index system management mode in the management of large medical imaging equipment.Methods:Based on the composition and operation of medical imaging equipment,the intelligent digital technology and quality control parameter system architecture were integrated,and the joint management mechanism was used to manage large medical imaging equipment.A total of 26 medical imaging equipment in clinical use in Wuhan First Hospital from 2022-2023 were selected.According to different equipment management methods,conventional management method(13 units)and intelligent digital technology combined with the quality control index system mode(referred to as intelligent mode)(13 units)were adopted for management.The clinical effectiveness,management quality,management level and recognition scores of management personnel involved in the use of medical imaging equipment were compared between the two management methods.Results:The average start-up rate,operation rate,and turnover rate of the equipment managed by intelligent mode were(90.56±4.69)％,(12.36±2.45)％and(15.69±3.65)％,respectively,which were higher than those of conventional management method,the difference was statistically significant(t=13.366,15.637,9.082,P＜0.05).The average scores of clinical operation,information data,quality control and maintenance of the equipment managed by intelligent mode were(93.65±4.21)points,(94.65±4.36)points,(95.36±6.56)points and(94.26±5.63)points,respectively,which were higher than those of conventional management method,the difference was statistically significant(t=7.794,6.818,6.918,10.136,P＜0.05).The reasonable placement rate,standardized recording rate and equipment serviceability rate of equipment managed by intelligent mode were 76.92％(10/13),84.61％(11/13)and 84.61％(11/13),respectively,which were higher than those of conventional management method,the difference was statistically significant(x2=8.714,12.462,9.905,P＜0.05).The recognition scores of engineers,operators,medical staff and managers involved in the management and use of equipment were(93.54±3.65)points,(92.58±4.58)points,(90.78±3.14)points and(92.65±3.41)points,respectively,which were higher than those of conventional management method,the differences was statistically significant(t=3.333,4.142,6.424,7.278,P＜0.05).Conclusion:The application of intelligent digital technology combined with quality control index system management mode in the management of large medical imaging equipment can improve the quality of clinical use of equipment,enhance equipment technical support capabilities,and reduce equipment failure rate.

Objective:To retrieve, evaluate and integrate the evidence related to the preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital, so as to provide reference for clinical implementation of extracorporeal cardiopulmonary resuscitation.Methods:According to the evidence-based nursing method and the 6S evidence model, guidelines, clinical decisions, expert consensus, systematic review and other literatures related to the preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital were searched from National Guideline Clearinghouse, Scottish Intercollegiate Guidelines Network, National Institute for Health and Care Excellence, and other websites, UpToDate, The Cochrane Library, PubMed, Embase, CNKI, Wanfang and other databases. The retrieval date limit was from the establishment of the database to May 20, 2023. Researchers assessed the quality of the included articles, and extracted and summarized the evidence that met the quality standards.Results:A total of 11 articles were included, including 2 guidelines, 6 expert consensuses, 1 systematic review and 2 quasi-experimental studies. A total of 18 pieces of evidences were summarized from 6 aspects, including medical conditions, team building, materials management, operation mechanism, pre-initiating treatment and initiating judgment.Conclusions:This study summarizes the evidence of preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital, which can provide reference for promoting the implementation of extracorporeal cardiopulmonary resuscitation. Future studies still need to focus on team building, personnel training and assessment, and optimisation of the management system, so as to improve the efficiency and readiness of treatment.

BACKGROUND:At present,measurement osteotomy technique and gap balance technique are the two main surgical methods in total knee arthroplasty.Both methods have their advantages and disadvantages.By adjusting the osteotomy angle,the gap balance technique can reduce the release of soft tissue and obtain a more balanced flexion and extension space.The clinical efficacy of gap balance technique is superior,but this surgical method lacks tools and is easily influenced by the surgeon's surgical experience and subjective judgment,with more errors.Measurement osteotomy technique has a short learning curve,but it relies on anatomic markers and is prone to many complications due to inaccurate positioning.In recent years,many instrument companies have successively developed and launched tools that can improve the quality of surgery.However,there are still few reports about the tool. OBJECTIVE:To compare the clinical efficacy of gap balance technique and measurement osteotomy technique under Offset Repo-Tensor in total knee arthroplasty,and explore the value of Offset Repo-Tensor in total knee arthroplasty. METHODS:The medical records of 85 patients with total knee arthroplasty were collected and divided into two groups according to the operation method.Group A consisted of 44 patients who underwent total knee arthroplasty using a gap balance technique combined with Offset Repo-Tensor.Group B consisted of 41 patients who underwent total knee arthroplasty using measurement osteotomy technique.Surgical time,American Knee Society Score,knee range of motion,changes in lower limb alignment,and postoperative complications were compared between the two groups to evaluate the clinical efficacy of gap balance technique combined with Offset Repo-Tensors in total knee arthroplasty. RESULTS AND CONCLUSION:(1)All 85 patients were followed up.(2)Postoperative knee range of motion in both groups was higher than that before surgery(P<0.05),and the improvement in group A was more significant than that in group B(P<0.05).(3)American Knee Society Score in both groups after surgery was higher than that before surgery(P<0.05),and the American Knee Society Score in group A was higher than that in group B at 2 weeks,1,3 months,and the last follow-up(P<0.05).(4)The operation time of group A was slightly shorter than that of group B,but the difference was not significant(P>0.05).(5)The lower limb alignment in both groups was improved after operation,but there was no significant difference between the two groups(P>0.05).(6)The complication rate of group A(2%)was lower than that of group B(7%),but there was no significant difference between the two groups(P>0.05).(7)It is indicated that compared with the measurement osteotomy technique,the combination of Offset Repo-Tensor and gap balance technique can elevate the clinical effect and improve the function and motion range of the knee joint.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

Objective To analyze the interaction between voriconazole(VRC)and immunosuppressants such as tacrolimus and cyclosporine and the effect of CYP2C19 gene polymorphism on the interaction and adverse reactions(ADR)based on the results of CYP2C19 gene polymorphism and therapeutic drug monitoring,so as to provide a basis for the development of individualized VRC combined with immunosuppressants.Methods Two-dimensional liquid chromatography and pyrosequencing was used to detect the concentration of VRC and the CYP2C19 gene pol-ymorphism,respectively.And the concentration of immunosuppressants was detected at the same time.The rela-tionship among CYP2C19 gene polymorphism,the concentration of VRC and immunosuppressant and ADR was an-alyzed.Results A total of 61 patients were enrolled in this study,and the mutation rates of CYP2C19*2 and CYP2C19*3 were 54.1％(33/61)and 9.84％(6/61),respectively.The concentrations of VRC in patients with extensive metabolism(EMs),intermediate metabolism(IMs)and poor metabolism(PMs)were(4.44±3.46),(3.62±3.02)and(10.05±1.46)μg/ml(P＜0.05),respectively.The concentration of tacrolimus af-ter combined with VRC significantly increased compared to tacrolimus alone[(13.4±9.2)ng/ml vs(6.5±3.6)ng/ml;P=0.002],and the concentration of tacrolimus increased along with an increasing of VRC concentration.The concentration of VRC in patients combined with tacrolimus was lower than that in patients without immunosup-pressants[(3.81±3.48)μg/ml vs(5.84±3.71)μg/ml;P=0.032].The concentration of VRC inpatients with cyclosporine significantly decreased(P＜0.01),while tacrolimus and mycophenolate mofetil had no signifi-cant effect on the concentration of VRC.45.90％(28/61)of the patients had adverse reactions,the concentration of VRC in patients with ADR was significantly higher than that in patients without ADR[(7.07±3.43)μg/ml vs(3.06±2.90)μg/ml;P＜0.001].And the concentration of VRC in patients with ADR was higher than patients without ADR with based on CYP2C19 genotype.Conclusion CYP2C19 gene polymorphism can significantly affect the concentration and adverse reactions of VRC,and VRC has significant interaction with immunosuppressants such as tacrolimus.CYP2C19 gene polymorphism combined with therapeutic drug monitoring can improve the individual-ized treatment of tacrolimus and voriconazole,and is expected to minimize toxicity and improve treatment effects.

Reducing the mother-to-child transmission of hepatitis B virus(HBV)is crucial for achieving HBV elimination.Launched in July 2015 at the Great Hall of the People in Beijing,China,the"Zero Hepatitis B Mother-to-Child Transmission Project"(Shield Project)is a public welfare initiative integrating scientific prevention and applied research and aims to perform standardized management of pregnant women with hepatitis B using the mobile application of"Shield Project",in order to further reduce or eliminate the mother-to-child transmission of HBV.At present,the Shield Project has expanded nationwide,offering detailed implementation strategies,successful practices,and reliable data to support the global effort to eliminate the mother-to-child transmission of HBV.This article introduces the implementation strategies and outcomes of the Shield Project in four representative cases,in order to provide strong evidence for further understanding and preventing the mother-to-child transmission of HBV.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.