Objective To analyze whether there are any gender differences in clinical features of acute type 1 diabetes mellitus.Methods Clinical data of 193 patients with acute type 1 diabetes mellitus were collected in our hospital from 2002 to 2007,and subjected to statistical analysis by SPSS.Results The ratio of male to female in all the subjects was 1.6:1.There was no significant gender difference in such clinical aspects as age,fasting blood glucose level,HbAlc concentration,positive percentage of serum autoantibodies against pancreatic islet or morbidity of diabetic neuropathy.In contrast to the males,the onset age was significantly younger,the diabetic duration longer,fasting serum C peptide level lower and the incidence of ketotic acidosis higher in female patients.The patients with onset age less than 14 years (puberty) did not show any significant gender differences in the above-mentioned clinical aspects.Among those with onset age more than 14 years,the females had significantly longer duration and lower fasting serum C peptide level than males.The male patients with onset age more than 14 years had significantly higher fasting serum C peptide level than those less than 14,whereas it was the same for total positive percentages of pancreatic islet autoantibodies and morbidity of diabetic neuropathy in females.Conclusion Gender differences may exist in some clinical features of type 1 diabetic patients with acute onset after puberty, which may partially result from the effects of sex hormones.

OBJECTIVE:To establish a method for simultaneous determination of sodium valproate(VPA)and its metabo-lite 2-propyl-2-pentenoic acid (2-ene-VPA) in human plasma. METHODS:Plasma sample was extracted with cyclohexane and experienced derivatization with 2,4′-dibromoacetophenone using n-octanoic acid as an internal standard. RP-HPLC method was adopted. The determination was performed on Zorbax SB-C18 column with mobile phase consisted of acetonitrile-water(65∶35,V/V)at the flow rate of 1 mL/min. The column temperature was set at 35 ℃,and UV dectection wavelenth was set at 258 nm. The sample size was 20 μL. RESULTS:The linear range of VPA and 2-ene-VPA were 5.0-200.0,0.5-20.0 μg/mL(r=0.999 9, n=5). The limits of quantification were 5.0,0.5 μg/mL. RSDs of inter-day and intra-day were all lower than 5%. Method recov-eries were 95.99%-98.80%and 97.40%-98.17%,and extraction recoveries were 80.46%-86.23%and 80.45%-85.61%. The plas-ma concentrations of VPA in 10 epileptic children were 27.4-93.2 μg/mL,and those of 2-ene-VPA were 0.85-3.94 μg/mL,respec-tively. CONCLUSIONS:The method is simple,specific and suitable for plasma concentration determination and pharmacokinet-ic study of VPA.

Objective To investigate the mechanism of venous reverse-flow flap in the differentperiod after operation.Methods The rabbits wero randomly allocated into 3 groups.In group A,including saphenous artery and venae commutante.In group B,saphenous artery without venae commutante.In group C,surface seeping and saphenous artery and venae commutante.Flap appearance,intravenous pressure,vessel diameter,mierocircular and histological examination were mea8ured.Results The difference of introvenous pressure between group A.B and C was obvious.Reverse flow WaS found in group A and C group through microcirculation observation 2 hours post-operation.Venous valve lose efficacy while the vessel diameter wes at maximum just after the pressure peak.Conclusion Venous retrograde return in reverse-flow island flaps can be achieved more easily through"incompetent valves route"than through "communicating and collaterall by pass route".By pass route is a supplementary way.Surface seeping Can slighfly relieve the venous pressure but can cause infection.

Objective To explore the status of healthcare-associated infection(HAI)in hospitals in Buyi autono-mous prefecture of Guizhou Povince,and provide basis for formulating HAI control measures.Methods A survey was conducted by combined methods of bed-side survey and medical record reviewing,prevalence rates of secondary and above hospitals in Buyi autonomous prefecture in Guizhou Province between September 10 and October 5,2014 were surveyed.Results 6 577 hospitalized patients should be investigated,6 541(99.45%)were actually investiga-ted.The prevalence rate and case prevalence rate of HAI were 1 .83% (n=120)and 1 .94%(n=127)respectively. The top three departments of HAI distribution were intensive care unit (26.32%),neurosurgery (6.10%),and neonatal intensive care unit(5.13%);the main infection site was lower respiratory tract(n=39,30.71 %),followed by skin-soft tissue (n=24,18.90%)and superficial incision (n=23,18.11 %).58 pathogenic isolates were detec-ted,gram-negative bacteria were the major pathogens (n=44),gram-positive bacteria and fungi were 10 and 3 iso-lates respectively.Antimicrobial usage rate at survey day was 42.12%,64.75% of which were for therapeutic, 26.83% for prophylactic,and 8.42% for therapeutic+prophylactic use;the percentage of mono-drug,two drugs combination,and three or more drugs combination use were 79.53%,19.89%,and 0.58% respectively;bacterial detection rate in patients receiving therapeutic as well as therapeutic+prophylactic antimicrobial use was 13.76%. Conclusion Survey on prevalence of HAI is helpful for understanding the current status of HAI,monitoring on HAI in key departments of hospital and key sites of patients should be strengthened to reduce the occurrence HAI effectively.

Objective To investigate the current situation of healthcare-associated infection(HAI)in hospitals of Miao and Dong Autonomous Prefecture of Guizhou Province,and provide basis for formulating prevention and con-trol measures of HAI.Methods According to the unified plan of the National HAI Surveillance Network,26 hospi-tals in Miao and Dong Autonomous Prefecture of Guizhou Province were performed cross-sectional survey on HAI prevalence rate,antimicrobial use,and specimen bacterial culture rate.Results A total of 3 tertiary and 23 seconda-ry hospitals were investigated,7 799 inpatients were included,the prevalence rate of HAI was 2.54%(n =198), and case prevalence rate was 2.65% (n=205).HAI mainly distributed in intensive care unit (29.63%);the main infection site was lower respiratory tract (44.44%);HAI mainly caused by gram-negative bacteria,the major pathogens were Escherichia coli ,Pseudomonas aeruginosa ,and Klebsiella pneumoniae .The usage rate of antimi-crobial agents was 45.66%,secondary hospitals was higher than tertiary hospitals (53.65% vs 31 .14%,χ2 =148.53,P <0.001 ).74.02% of antimicrobial agents were for therapeutic purpose,19.77% for prophylaxis,and 6.21 % for both prophylactic and therapeutic application;81 .02% of patients received one agent,17.21 % received two,and 1 .77% received three and more agents;among patients who received antimicrobials for therapeutic as well as for both therapeutic and prophylactic purpose,only 29.37% were sent specimens for pathogenic detection.Conclusion The prevalence rate in this region is lower than national average level,antimicrobial usage rate is lower than national standard,management of key departments and key sites should be strengthened,antimicrobial agents,especially used in secondary hospitals should be used rationally.

ObjectiveTo systematically analyze the global policy framework, standard systems and application technology models of digital rehabilitation within the framework of the World Health Organization (WHO) Global Digital Health Strategy and propose policy recommendations for the future development of digital rehabilitation. MethodsBased on the policies on digital health and rehabilitation development issued by the WHO, focusing on the Global Digital Health Strategy, Rehabilitation 2030 Initiative, Rehabilitation in Health Systems, Rehabilitation in Health Systems: A Guide for Action, and World Report on Disability, a systematic review was conducted, to explore the policy architecture and core content of digital rehabilitation, the standard system for digitalizing rehabilitation, and key technological models for the development of digital rehabilitation. ResultsIn the context of global health and digital transformation, the development of digital rehabilitation services was an essential component of the global digital health strategy. Building a comprehensive policy framework and content system for digital rehabilitation was critical for strengthening rehabilitation data governance, enhancing data utilization efficiency, and ensuring data privacy and security. Empowering rehabilitation with digital technology was vital for improving the standardization, effectiveness, coverage, quality and safety of rehabilitation services. International digital rehabilitation policies primarily involved the following areas: policy and governance, digital standard systems, data privacy, security and ethics, digital talent cultivation and capacity building, and monitoring, evaluation and continuous improvement of digitally empowered rehabilitation services. The standard system for rehabilitation digitization covered the three major reference classifications of the WHO Family of International Classifications, including International Classification of Diseases Eleventh Revision (ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI), especially ICF. It also included international data interoperability standards, data security and privacy protection standards, data quality and certification standards, and health information standards, etc. The application technology models of digital rehabilitation primarily included data-driven service models, artificial intelligence -enabled models, and remote rehabilitation models combined with virtual reality, augmented reality technologies, and Internet of Things support. ConclusionThe establishment and implementation of comprehensive policies, standards and technological models for digital rehabilitation are crucial for driving the digital transformation and development of global rehabilitation services. Under the framework of the WHO Global Digital Health Strategy, it is necessary to build adaptive digital rehabilitation policy frameworks, and enhance digital governance capabilities and levels, establishing and improving digital rehabilitation standard systems, and promoting the interoperability and integration of rehabilitation data with other health big data. Meanwhile, it is essential to actively develop data-driven technological models for rehabilitation services to comprehensively improve the accessibility, availability, quality and safety of rehabilitation services.

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.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.