Objective:To investigate the association of malnutrition based on Global Leadership Initiative on Malnutrition (GLIM) criteria with the disease activity and clinical outcomes in hospitalized ulcerative colitis (UC) patients.Methods:Clinical data of 115 patients with UC hospitalized in the Affiliated Hospital of Qingdao University from September 2019 to March 2023 were prospectively analyzed. GLIM and European Society for Clinical Nutrition and Metabolism (ESPEN) 2015 criteria were used for the diagnosis of malnutrition, allowing the analysis of consistency between two diagnostic criteria for malnutrition. The relationship between malnutrition based on GLIM criteria and disease activity and clinical outcome was further investigated. The risk factors of adverse clinical outcomes in UC patients were analyzed using binary logistic regression.Results:GLIM and ESPEN 2015 diagnostic criteria showed high correlation and consistency (AUC=0.875, P<0.001; K=0.809, P<0.001). According to GLIM criteria, the prevalence of malnutrition among hospitalized UC patients was 32.17% (37 cases). Compared with non-malnourished UC patients, the modified Mayo score and C-reactive protein level of malnutrition patients were higher ( P<0.005), and the proportion of patients with severe disease activity was higher ( P=0.005). UC patients in the malnourished group had longer hospital stay ( P<0.001), higher hospitalization costs ( P<0.001), and higher rates of drug escalation/conversion therapy, re-admission and surgery at 12 weeks and 54 weeks ( P<0.05). Binary logistic regression analysis showed that a high Mayo score ( OR=3.606, P=0.016), a high modified Mayo score ( OR=1.346, P=0.009) and malnutrition ( OR=1.430, P=0.012) were independent risk factors for adverse clinical outcomes of hospitalized UC patients at 12 weeks. A high modified Mayo score ( OR=6.491, P=0.011) and malnutrition as per GLIM criteria ( OR=6.693, P=0.033) were independent risk factors for adverse clinical outcomes of hospitalized UC patients at 54 weeks. Conclusions:GLIM and ESPEN 2015 diagnostic criteria show high consistency in the diagnosis of malnutrition in hospitalized UC inpatients. Malnutrition may imply adverse clinical outcomes of hospitalized UC patients, which is an independent risk factor for the adverse clinical outcome of hospitalized UC patients.

‍ ObjectiveTo investigate the serum level of HBV RNA in untreated or treatment-experienced patients with chronic hepatitis B （CHB） and the correlation between serum HBV RNA level and the duration of antiviral therapy with nucleos（t）ide analogues （NAs）. MethodsA total of 300 patients with CHB who attended Department of Infectious Diseases in The First Affiliated Hospital of Shihezi University School of Medicine from February to July， 2022， were enrolled as subjects. Related clinical data were collected， and according to the duration of antiviral therapy， they were divided into untreated group with 73 patients， treatment duration ≤1 year group with 91 patients， and treatment duration >1 year group with 136 patients. Serum HBV RNA load， HBV DNA load， and HBsAg concentration were measured for all patients. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups， further pairwise comparison using Bonferroni method； the chi-square test was used for comparison of categorical data； a Spearman correlation analysis was used to investigate the degree of correlation between various indicators. ResultsThe positive rate of HBeAg was 18.3%， and among the patients with negative HBV DNA， the patients with positive HBV RNA accounted for 44.1% （86/195）. There was a significant difference in the distribution of the serum levels of HBV RNA， HBV DNA， and HBsAg between the positive HBeAg group and the negative HBeAg group （Z=10.740， 6.300， and 7.280， all P<0.05）. There was a significant difference in the distribution of DNA level between the untreated group and the treatment duration ≤1 year group （P<0.05）； there was a significant difference in the distribution of HBV RNA and HBV DNA levels between the untreated group and the treatment duration >1 year group （P<0.05）； there was a significant difference in the distribution of HBV RNA， HBV DNA， and HBsAg levels between the treatment duration ≤1 year group and the treatment duration >1 year group （P<0.05）. The correlation analysis between the duration of antiviral therapy and the levels of HBV RNA， HBV DNA， and HBsAg showed that the duration of antiviral therapy had an extremely weak negative correlation with the levels of HBV RNA and HBsAg （r=-0.247 and -0.138， both P<0.05） and a strong negative correlation with the level of HBV DNA （r=-0.771， P<0.001）. There was a low degree of correlation between the serum level of HBV RNA and the serum levels of HBV DNA and HBsAg （r=0.360 and 0.442， both P<0.001）. Further stratified analysis showed that in the untreated group， there was a strong positive correlation between HBV RNA and HBV DNA （r=0.752， P<0.001） and a moderate positive correlation between HBV RNA and HBsAg （r=0.559， P<0.001）； in the treatment duration ≤1 year group， there was a low degree of positive correlation between HBV RNA and HBV DNA/HBsAg （r=0.396 and r=0.388， both P<0.001）； in the treatment duration >1 year group， there was a low degree of positive correlation between HBV RNA and HBsAg （r=0.352， P<0.001）. ConclusionSerum HBV RNA is negatively correlated with the duration of treatment with NAs， and the correlation of HBV RNA with HBV DNA and HBsAg gradually decreases with the increase in the duration of treatment. Therefore， it can be used as a supplementary indicator for monitoring the level of virologic response in CHB patients to a certain extent， with a relatively high accuracy in reflecting the level of viral replication in untreated patients.

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 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.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Background::Endoscopic resection is increasingly used in the treatment for early gastric cancer (EGC); however, about 15% of endoscopic submucosal dissection (ESD) cases report non-curative resection. The efficacy of different remedial interventions after non-curative ESD for EGC remains controversial. This meta-analysis aimed to compare the long-term outcomes of additional surgery and non-gastrectomy treatment for EGC patients who underwent non-curative ESD.Methods::All relevant studies published up to October 2021 were systematically searched in the PubMed, Web of Science, and Embase databases. The medical subject headings terms "early gastric cancer," "gastrectomy," "endoscopic submucosal dissection," and their related free keywords were used to search relevant articles without restrictions on regions, publication types, or languages. The Newcastle–Ottawa Quality Assessment Scale was used to evaluate the quality of the included studies. Odds ratios (ORs) with 95% confidence intervals (CIs) of 5-year overall survival (OS), disease-specific survival (DSS), disease-free survival (DFS) and hazard ratios (HRs) with 95% CIs of OS were calculated using a random- or fixed-effects model.Results::This meta-analysis included 17 retrospective cohort studies with 5880 patients, of whom 3167 underwent additional surgery and 2713 underwent non-gastrectomy. We found that patients receiving additional gastrectomy had better 5-year OS (OR = 3.63, 95% CI = 3.05–4.31), DSS (OR = 3.22, 95% CI = 2.22–4.66), and DFS (OR = 4.39, 95% CI = 1.78–10.82) outcomes than those receiving non-gastrectomy treatments. The pooled HR also showed that gastrectomy following non-curative ESD significantly improved OS (HR = 0.40, 95% CI = 0.33–0.48). In addition, elderly patients benefited from additional surgery in consideration of the 5-year OS (HR = 0.54, 95% CI= 0.41–0.72).Conclusions::Compared with non-gastrectomy treatments, additional surgery offered better long-term survival outcomes for patients with EGC who underwent non-curative ESD.

The awake prone position plays an important role in the treatment of hypoxemia and the improvement of respiratory distress symptoms in non-intubated patients. It is widely used in clinical practice because of its simple operation, safety, and economy. To enable clinical medical staff to scientifically and normatively implement prone position for awake patients without intubation, the committees of consensus formulation, guided by evidence-based methodology and Delphi method, conducted literature search, literature quality evaluation and evidence synthesis around seven topics, including indications and contraindications, evaluation, implementation, monitoring and safety management, termination time, complication prevention and health education of awake prone position. After two rounds of expert letter consultation, Expert consensus on implementation strategy of awake prone positioning for non-intubated patients in China (2023) was formulated, and provide guidance for clinical medical staff.
Humans ; Consensus ; Prone Position ; Wakefulness ; China ; Dyspnea

BACKGROUND: Given the general unavailability, common adverse effects, and complicated administration of tetracycline, the clinical application of classic bismuth quadruple therapy (BQT) is greatly limited. Whether minocycline can replace tetracycline for Helicobacter pylori ( H . pylori ) eradication is unknown. We aimed to compare the eradication rate, safety, and compliance between minocycline- and tetracycline-containing BQT as first-line regimens. METHODS: This randomized controlled trial was conducted on 434 naïve patients with H . pylori infection. The participants were randomly assigned to 14-day minocycline-containing BQT group (bismuth potassium citrate 110 mg q.i.d., esomeprazole 20 mg b.i.d., metronidazole 400 mg q.i.d., and minocycline 100 mg b.i.d.) and tetracycline-containing BQT group (bismuth potassium citrate/esomeprazole/metronidazole with doses same as above and tetracycline 500 mg q.i.d.). Safety and compliance were assessed within 3 days after eradication. Urea breath test was performed at 4-8 weeks after eradication to evaluate outcome. We used a noninferiority test to compare the eradication rates of the two groups. The intergroup differences were evaluated using Pearson chi-squared or Fisher's exact test for categorical variables and Student's t -test for continuous variables. RESULTS: As for the eradication rates of minocycline- and tetracycline-containing BQT, the results of both intention-to-treat (ITT) and per-protocol (PP) analyses showed that the difference rate of lower limit of 95% confidence interval (CI) was >-10.0% (ITT analysis: 181/217 [83.4%] vs . 180/217 [82.9%], with a rate difference of 0.5% [-6.9% to 7.9%]; PP analysis: 177/193 [91.7%] vs . 176/191 [92.1%], with a rate difference of -0.4% [-5.6% to 6.4%]). Except for dizziness more common (35/215 [16.3%] vs . 13/214 [6.1%], P = 0.001) in minocycline-containing therapy groups, the incidences of adverse events (75/215 [34.9%] vs . 88/214 [41.1%]) and compliance (195/215 [90.7%] vs . 192/214 [89.7%]) were similar between the two groups. CONCLUSION: The eradication efficacy of minocycline-containing BQT was noninferior to tetracycline-containing BQT as first-line regimen for H . pylori eradication with similar safety and compliance. TRIAL REGISTRATION ClinicalTrials.gov, ChiCTR 1900023646.
Humans ; Bismuth/therapeutic use* ; Metronidazole/therapeutic use* ; Esomeprazole/pharmacology* ; Minocycline/pharmacology* ; Helicobacter pylori ; Potassium Citrate/therapeutic use* ; Anti-Bacterial Agents ; Tetracycline/adverse effects* ; Helicobacter Infections/drug therapy* ; Drug Therapy, Combination ; Amoxicillin

Objective:To investigate the prevalence of malnutrition in hospitalized patients with ulcerative colitis (UC) using the Global Leadership Initiative on Malnutrition (GLIM) criteria, compare the body composition, clinical indicators, and occurrence of poor UC outcomes between the malnutrition group and the non-malnutrition group, and analyze the risk factors of malnutrition.Methods:A total of 104 UC patients hospitalized in the Affiliated Hospital of Qingdao University during 2019 to 2021 and with relevant data collected through UC-sarcopenia Prospective Study were included. Data including nutritional risk screening 2002 (NRS 2002) scores, diagnosis of malnutrition per GLIM criteria, body composition data, clinical data and occurrence of poor outcomes were extracted. All patients were screened for nutritional risk using NRS 2002 at admission, and those at nutritional risk were further evaluated for malnutrition diagnosis per GLIM criteria. The prevalence of malnutrition in UC inpatients, the differences in indicators between malnutrition and non-malnutrition groups, and the risk factors of malnutrition were analyzed.Results:Among the enrolled UC patients , 35 (33.7%) were at nutritional risk, and 30 (28.8%) were diagnosed as malnutrition by GLIM criteria. Compared with the non-malnutrition group, the body composition indexes, including body fat mass, protein, skeletal muscle mass, segmental muscle mass, body water, waist circumference, arm circumference, visceral fat area, basal metabolic rate and body cell mass, all decreased to some extent in the malnutrition group ( P < 0.05). Prealbumin and albumin levels were lower ( P < 0.01). The modified Mayo endoscopic score (MMES), C-reactive protein level and erythrocyte sedimentation rate were higher ( P < 0.01). The rates of re-admission and surgery due to disease activity at 90 days were higher ( P < 0.05). High MMES ( OR =1.534, P = 0.044) and low albumin level ( OR =0.781, P = 0.013) were risk factors for malnutrition in UC patients. Conclusions:GLIM criteria is suitable for the diagnosis of malnutrition in hospitalized UC patients, and malnutrition patients are more likely to experience poor outcomes such as short-term re-admission and surgery. UC patients with higher MMES and lower albumin level are more likely to suffer from malnutrition.

Objective:To investigate the predictive role of dynamic changes of plasma biomarkers in patients with viral and mycoplasma community-acquired pneumonia (CAP).Methods:From January 2020 to June 2020, 141 patients with viral and mycoplasma CAP in People's Hospital of Ningxia Hui Autonomous Region were enrolled. Pneumonia severity index (PSI) scores [grade Ⅰ-Ⅱ(PSI score ≤ 70), grade Ⅲ (PSI score 71-90) and grade Ⅳ-Ⅴ(PSI score ≥ 91)], serum amyloid A (SAA), hypersensitive C-reactive protein (hs-CRP), procalcitonin (PCT), erythrocyte sedimentation rate (ESR) and white blood cell (WBC) on the 1 day after admission were compared between the different pathogens (viral and mycoplasma) or different disease severity. The change in level of SAA, hs-CRP on the third day (Δ 3 d = 1 d-3 d) were compared among different disease outcome groups (patients were divided into improved group, stable group and exacerbation group based on PSI scores or lung CT images on the third day). The change in the level of SAA, hs-CRP on the seventh day (Δ 7 d = 1 d-7 d) were compared among different disease prognosis groups (patients were divided into survival group and death group based on 28-day survival data). The receiver operating characteristic curve (ROC) were drawn to evaluate the value of SAA in the evaluation of disease and prediction prognosis. Results:The level of SAA in mycoplasma group (43 cases) was significantly higher than that in virus group (98 cases) on the 1 day after admission. There were no significant differences in other plasma biomarkers between the two groups. The more severe the illness, the higher the SAA level on the 1 day after admission. The trends of other plasma biomarkers in the two groups were consistent with SAA. The levels of SAA in the patients with exacerbation of the virus group and mycoplasma group (12 cases, 9 cases) were significantly higher than those of the improved group (57 cases, 26 cases) and the stable group (29 cases, 8 cases). SAA increased gradually in the exacerbation group, decreased gradually in the improved group, and slightly increased in the stable group. ΔSAA 3 d were differences among three groups. The change trend of hs-CPR was consistent with SAA. The level of SAA in the death group was higher than that in the survival group on the seventh day. SAA increased in the death group and decreased in survival group with time from hospital admission. There were differences according to ΔSAA 7 d between death group and survival group. The change trend of hs-CPR was consistent with SAA. ROC curve showed that the value of SAA was better than hs-CRP in assessing the severity of patients on admission day, and the area under ROC curve (AUC) was respectively 0.777 [95% confidence interval (95% CI) was 0.669-0.886], 0.729 (95% CI was 0.628-0.830). The value of ΔSAA 3 d was better than SAA on the third day predicting disease trends, and AUC was respectively 0.979 (95% CI was 0.921-1.000), 0.850 (95% CI was 0.660-1.000). hs-CRP on the third day and Δhs-CRP 3 d had no predictive value. Both SAA on the seventh day and ΔSAA 7 d have predictive value for prognosis. AUC was respectively 0.954 (95% CI was 0.898-0.993) and 0.890 (95% CI was 0.689-1.000). SAA on the seventh day and ΔSAA 7 d were better than hs-CRP on the seventh day. Δhs-CRP 7 d have no predictive value. Conclusions:SAA is a sensitive and valuable indicator for CAP patients with viruses and mycoplasma. Dynamic monitoring of SAA can evaluate the patient's progression, prognosis, and assist diagnosis and treatment.