Objective:To explore the significance of any correlation between the cost of the rehabilitation provided to stroke survivors during their hospitalization and the functional levels attained, and to analyze factors influencing that correlation.Methods:The International Classification of Functioning, Disability and Health Rehabilitation Set (ICF-RS) was used to evaluate the functioning of 304 stroke survivors on their days of hospital admission and discharge, as well as on their 10th day in hospital. The cost of their rehabilitation was computed, and demographic and clinical data were collected. A generalized estimation equation was used to analyze the changes in dysfunction with time and its risk factors. The relationship between functional levels and rehabilitation cost and its influencing factors were analyzed.Results:Length of stay, age≥60 and hemorrhagic stroke were significant risk factors for greater dysfunction among the stroke survivors. On the 10th day in hospital and the day before discharge (the 18th day), the frequency of severe dysfunction had decreased. The significant predictors of increased cost were severe or moderate dysfunction, the stage of stroke (sub-acute stage), and non-first rehabilitation.Conclusion:Functional level is a useful predictor of rehabilitation cost. It is influenced by the stage of stroke and non-first rehabilitation.

Objective:To evaluate the effectiveness of an integrated management model involving the Centers for Disease Control and Prevention (CDC), general hospitals, and community health service centers in improving outcomes for community-dwelling patients with chronic obstructive pulmonary disease (COPD), with the aim of optimizing existing COPD management strategies.Methods:This study was a cluster randomized controlled trial. From January to March 2022, a total of 236 patients with COPD were recruited from four communities in Chibi City, Hubei Province. Ultimately, 223 patients completed follow-up and participated in the intervention evaluation. The participants were cluster-randomized into an intervention group ( n=121) and a control group ( n=102). The intervention group received a one-year "trinity" integrated community management model, while the control group received only basic follow-up. Face-to-face questionnaires were administered before and after the intervention to collect data on demographics, disease awareness, risk factors, respiratory symptoms, medication use, and disease management. Quality of life scores and pulmonary function tests were also assessed. Pre-and post-intervention outcomes were compared using t-tests or chi-square tests. Results:The intervention group demonstrated significantly higher rates of COPD awareness and disease-related knowledge compared to the control group (94.12% vs 77.78% and 78.15% vs 49.49%; both P<0.05), along with lower overall smoking rate and current smoking rate (57.14% vs 70.71% and 29.41% vs 47.47%; both P<0.05). The intervention group showed reduced household polluting fuel use for heating (17.65% vs 28.93%; P<0.05), while the control group exhibited no significant change. Significant improvements were observed in the intervention group for inhaler medication usage (14.05% vs 2.94%), exercise training, and respiratory muscle training (22.31% vs 2.94% and 26.45% vs 0.98%)(all P<0.05). Additionally, the intervention group reported lower prevalence of chronic sputum production, wheezing, and dyspnea (12.40%, 0.83%, 27.27% vs 24.51%, 9.80%, 41.18%; all P<0.05) compared to controls. Pulmonary function tests revealed that the percentage of forced expiratory volume in one second (FEV 1%predicted) was significantly higher in the intervention group than in the control group [(69.53±18.01)% vs (54.90±12.39)%; both P<0.05]. Conclusions:The "trinity" integrated management model effectively enhances health literacy, self-management capabilities, and quality of life among COPD patients, while reducing behavioral risk factors. This model aligns with the long-term and individualized management needs of COPD patients.

Objective:To explore the significance of any correlation between the cost of the rehabilitation provided to stroke survivors during their hospitalization and the functional levels attained, and to analyze factors influencing that correlation.Methods:The International Classification of Functioning, Disability and Health Rehabilitation Set (ICF-RS) was used to evaluate the functioning of 304 stroke survivors on their days of hospital admission and discharge, as well as on their 10th day in hospital. The cost of their rehabilitation was computed, and demographic and clinical data were collected. A generalized estimation equation was used to analyze the changes in dysfunction with time and its risk factors. The relationship between functional levels and rehabilitation cost and its influencing factors were analyzed.Results:Length of stay, age≥60 and hemorrhagic stroke were significant risk factors for greater dysfunction among the stroke survivors. On the 10th day in hospital and the day before discharge (the 18th day), the frequency of severe dysfunction had decreased. The significant predictors of increased cost were severe or moderate dysfunction, the stage of stroke (sub-acute stage), and non-first rehabilitation.Conclusion:Functional level is a useful predictor of rehabilitation cost. It is influenced by the stage of stroke and non-first rehabilitation.

Objective:To evaluate the effectiveness of an integrated management model involving the Centers for Disease Control and Prevention (CDC), general hospitals, and community health service centers in improving outcomes for community-dwelling patients with chronic obstructive pulmonary disease (COPD), with the aim of optimizing existing COPD management strategies.Methods:This study was a cluster randomized controlled trial. From January to March 2022, a total of 236 patients with COPD were recruited from four communities in Chibi City, Hubei Province. Ultimately, 223 patients completed follow-up and participated in the intervention evaluation. The participants were cluster-randomized into an intervention group ( n=121) and a control group ( n=102). The intervention group received a one-year "trinity" integrated community management model, while the control group received only basic follow-up. Face-to-face questionnaires were administered before and after the intervention to collect data on demographics, disease awareness, risk factors, respiratory symptoms, medication use, and disease management. Quality of life scores and pulmonary function tests were also assessed. Pre-and post-intervention outcomes were compared using t-tests or chi-square tests. Results:The intervention group demonstrated significantly higher rates of COPD awareness and disease-related knowledge compared to the control group (94.12% vs 77.78% and 78.15% vs 49.49%; both P<0.05), along with lower overall smoking rate and current smoking rate (57.14% vs 70.71% and 29.41% vs 47.47%; both P<0.05). The intervention group showed reduced household polluting fuel use for heating (17.65% vs 28.93%; P<0.05), while the control group exhibited no significant change. Significant improvements were observed in the intervention group for inhaler medication usage (14.05% vs 2.94%), exercise training, and respiratory muscle training (22.31% vs 2.94% and 26.45% vs 0.98%)(all P<0.05). Additionally, the intervention group reported lower prevalence of chronic sputum production, wheezing, and dyspnea (12.40%, 0.83%, 27.27% vs 24.51%, 9.80%, 41.18%; all P<0.05) compared to controls. Pulmonary function tests revealed that the percentage of forced expiratory volume in one second (FEV 1%predicted) was significantly higher in the intervention group than in the control group [(69.53±18.01)% vs (54.90±12.39)%; both P<0.05]. Conclusions:The "trinity" integrated management model effectively enhances health literacy, self-management capabilities, and quality of life among COPD patients, while reducing behavioral risk factors. This model aligns with the long-term and individualized management needs of COPD patients.

ObjectiveTaking Shengxuebao as the model traditional Chinese medicine（TCM）， this study aims to explore the methodologies and transfer patterns in the composition changes of TCM compound preparations from liquid to solid dosage forms. MethodBased on the previously established ultra-high performance liquid chromatography（UPLC） qualitative and quantitative methods for Shengxuebao， the fingerprint profiles of three preparations of Shengxuebao（homemade decoction， commercially available granules and mixtures） were established， and nineteen components were quantitatively analyzed. The similarities of fingerprint profiles among these three preparations were assessed using the Similarity Evaluation System for Chromatographic Fingerprint of TCM（2012 edition） and the total quantum statistical moment similarity method， respectively. The molecular connectivity index （MCI） and the average molar MCI of the chemical components in the three preparations were calculated. Seventy-two MCI values across 0-8 orders， including 8 subclasses， were calculated. The average molar MCI of 0-3 orders was used to study the "imprint template" structural characteristics and transfer patterns of the medicinal component groups. ResultThe similarities of the fingerprint profile of the decoction with those of the control， granules， and mixtures were 0.971， 0.888 and 0.799， respectively， indicating that the chemical composition of the granules and mixtures differed from that of the decoction， and that the 19 components were able to basically respond to the overall situation of the component group of Shengxuebao decoction. The total mass fractions of the detectable major components in Shengxuebao decoction， granules and mixtures was measured to be 5.498 6， 2.282 0， 1.416 6 mg·g^-1， respectively. The average molar MCI of 0-3 orders showed a gradual decrease across the three preparations， with the trend of decoction>granules>mixtures， indicating subtle changes in the overall structural characteristics of the chemical components in the samples of the three preparations. ConclusionAmong the three formulations of Shengxuebao， the traditional decoction contained the highest variety and quantity of components and carried the most substantial amount of component information， with a decreasing order observed in the granules and mixtures. This study further validates that traditional decoction is a reliable and fundamental dosage form， providing a reference for the modernization of TCM dosage forms and the quality consistency evaluation of compound preparations.

The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system.Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's insights on new quality productive forces and the directives from Third Plenary Session of Communist Party of China's 20th Central Committee,the high-quality development of the healthcare service system should focus on digital intelligence technologies such as cloud computing,big data,privacy computing,blockchain,Internet of Things(IoT),mobile computing,and AI.The key measures should include the optimization of production factors,services,and governance.Emphasis should be placed on enhancing the efficient and intensive development of the development model,ensuring the high-quality and continuous integration of the supply model,and transitioning to scientific and modern management methods.Herein,we analyzed the"factor optimization—service optimization—governance optimization"development mechanism driven by digital intelligence and proposed corresponding implementation pathways,intending to provide references for establishing a high-quality and efficient healthcare service system with Chinese characteristics.

Objective:To explore sex and rural-urban differences in the associations of different blood pressure levels with the risk of prediabetes.Methods:We used a multi-stage stratified cluster random sampling method to investigate 21 637 residents aged ≥18 years from 10 survey areas in Hubei province in 2020. The data on questionnaire, physical measurements, and laboratory indicators of the participants were collected. The associations of different blood pressure levels with risk of prediabetes by sex and regions were analyzed using multivariate logistic regressions after complex weighting.Results:A total of 16 111 subjects were included. The prevalence (95% CI) of prediabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and IFG complicated with IGT were 25.1% (14.4%-35.9%), 12.7% (3.2%-22.1%), 8.1% (6.3%-9.8%), and 4.4% (2.3%-6.5%), respectively. After multivariate adjustment, the risk of prediabetes, IFG, IGT, and IFG complicated with IGT increased with the increment of blood pressure (both P for trend <0.05). The positive dose-response relationships between blood pressure levels and risk of prediabetes were also significant among male, urban, and rural residents (both P for trend <0.05), and the interactions between sex and blood pressure showed significant associations for risk of prediabetes and IGT (both P for interaction <0.05). Conclusions:Higher blood pressure levels were associated with an increased risk of prediabetes. The association with prediabetes was stronger in males, but no significant difference was found between urban and rural residents. More distinctive and effective prevention and control strategies should be developed for different populations.

Objective To establish a mathematical prediction model for chronic obstructive pulmonary disease (COPD) by applying an artificial neural network (ANN) and logistic regression analysis method. Methods A cross-sectional survey was conducted in 2015 to collect epidemiological data of COPD of 2 400 residents from Hubei Province. Subjects were randomized into training group and test group at a ratio of 7:3. The prediction models of COPD were established using ANN and logistic multiple regression. The predictive performance of the two models was compared. Results Information from a total of 1 569 subjects was valid and analyzed, including 1,099 cases in the training group and 470 cases in the test group. The area under curve (AUC) of ANN for training group and test group was 0.80 and 0.78, respectively. The AUC of logistic regression for training group and test group was 0.75 and 0.74, respectively. Conclusion It is feasible to apply ANN and logistic regression models to predict COPD, which can provide scientific evidence for COPD prevention and treatment.

Personalized management of ischemic stroke prevention and treatment remains a top priority in the field of neurology. The purpose of this article is to elucidate the role of nontraditional lipid profile and traditional lipids in the pathogenesis and recurrence of acute ischemic stroke in order to provide new indicators for stroke prevention, risk grading and high-risk population screening, and attempt to discuss the potential predictive value of nontraditional lipid indicators.

Blood pressure management is an important and complex part of the treatment of acute ischemic stroke. There is no consensus on blood pressure management options for patients with acute ischemic stroke receiving intravenous thrombolysis. Blood pressure levels and blood pressure variability before and after thrombolysis, and timing of blood pressure interventions have significant effects on hemorrhagic transformation, functional outcome, and recurrence risk in patients with acute ischemic stroke. This article reviews the necessity, safety, goals of blood pressure management before and after thrombolysis, and its impact on the outcomes in acute ischemic stroke.