ObjectiveTo investigate the correlation of serum high-mobility group box 1 (HMGB1) level with hepatic inflammatory activity, liver fibrosis degree, and liver function parameters in chronic hepatitis B patients. MethodsA total of 73 patients with chronic hepatitis B and liver cirrhosis were enrolled as subjects. Liver biopsy was performed to determine inflammatory activity and liver fibrosis degree, liver function parameters and serum HMGB1 level were measured, and the correlation between HMGB1 level and other indices was analyzed. The t-test was used for comparison between two groups, and a linear correlation analysis was performed to investigate the correlation between two indices. ResultsThe patients with chronic hepatitis B and liver cirrhosis had a significantly higher HMGB1 level than the healthy control group (29.46±7.54 ng/ml vs 16.86±3.48 ng/ml, t=5.668, P＜0.01). The G3-G4 group had a significantly higher HMGB1 level than the G1-G2 group (t=4.441, P＜0.01), while there was no significant difference in HMGB1 level between the S1-S2 group and the S3-S4 group (t=0.658, P＞0.05). Serum HMGB1 level was positively correlated with alanine aminotransferase (r=0.256 6, P=0028 4) and aspartate aminotransferase (r=0.471 9, P＜0.000 1), while it was not correlated with albumin or total bilirubin (both P＞005). ConclusionSerum HMGB1 level is closely correlated with hepatic inflammatory activity.

STUDY DESIGN: A prospective cross-sectional study. PURPOSE: To evaluate the risk factors associated with the severity of pain intensity in patients with non-specific low back pain (NSLBP) in Southern China. OVERVIEW OF LITERATURE: Low back pain (LBP) is the leading cause of activity limitation and work absence throughout the world, so a firm understanding of the risk factor associated with NSLBP can provide early and prompt interventions that are aimed at attaining long-term results. METHODS: Participants were recruited from January 2014 to January 2016 and were surveyed using a self-designed questionnaire. Anonymous assessments included Short Form 36-Item Health Survey (SF-36) and Visual Analogue Scale (VAS). The association between the severity of NSLBP and these potential risk factors were evaluated. RESULTS: A total of 1,046 NSLBP patients were enrolled. The patients with primary school education, high body mass index (BMI), those exposed to sustained durations of driving and sitting, smoking, recurrent LBP had increased VAS and Oswestry Disability Index (ODI) scores with lower SF-36 scores (p<0.01). Workers and drivers compared with waiters and patients who lifted >10 kg objects in a quarter of their work time for >10 years had higher VAS and ODI scores with lower SF-36 scores (p<0.01). Multiple logistic regression showed lower levels of education, LBP for 1–7 days, long-lasting LBP in last year, smoking, long duration driving, and higher BMI were associated with more severe VAS score. CONCLUSIONS: The severity of NSLBP is associated with lower levels of education, poor standards of living, heavy physical labor, long duration driving, and sedentary lifestyle. Patients with recurrent NSLBP have more severe pain. Reducing rates of obesity, the duration of heavy physical work, driving or riding, and attenuating the prevalence of sedentary lifestyles and smoking may reduce the prevalence of NSLBP.
Anonyms and Pseudonyms ; Body Mass Index ; China ; Cross-Sectional Studies ; Education ; Health Surveys ; Humans ; Logistic Models ; Low Back Pain ; Obesity ; Prevalence ; Prospective Studies ; Risk Factors ; Sedentary Lifestyle ; Smoke ; Smoking

Objective To investigate the lifestyles for young and middle-aged stroke patients (aged 18 to 59). Methods From October, 2020 to March, 2021, 268 young adult stroke inpatients in Beijing Bo'ai Hospital and 363 healthy controls for healthy examination were collected the basic information (gender, age, marital status and educational level). The lifestyles were investigated with questionnaire based on Activity-Interest-Opinion (AIO) scale and Health Education and Health Advocacy in China, including 26 items in five dimensions of smoking, drinking, sleep, diet and exercise (before the onset for patients). The lifestyles were compared between the two groups, and analyzed with Logistic regression. Results Frequent smoking (OR = 1.383, P = 0.048), frequent passive smoking (OR = 1.511, P < 0.001), less sleeping time (OR = 0.582, P = 0.018), staying up later (OR = 0.400, P < 0.001), irregular meal time (OR = 0.454, P < 0.001), less weekly breakfast (OR = 0.752, P = 0.012), more oil intake (OR = 0.623, P < 0.001), more barbecue and fried food intake (OR = 0.440, P < 0.001), frequent takeaway or catering (OR = 0.716, P < 0.001), more alcohol consumption (OR = 1.502, P < 0.001) and less aerobic exercise (OR = 1.540, P < 0.001) were the risk factors for stroke in young and middle-aged persons. Conclusion Adverse lifestyle affects the occurrence of stroke in young and middle-aged people.

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.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.