Driven by the accelerating aging of global population,the prevalence of chronic diseases has been increasing annually.A growing proportion of patients often suffer from multiple concurrent chronic diseases-a condition termed multimorbidi-ty.In China,the utilization of healthcare services by patients with chronic disease multimorbidity is significantly influenced by factors such as age,economic status,education and other social determinants,giving rise to notable disparities in healthcare eq-uity.This paper reviews the current status of chronic-disease multimorbidity,investigate healthcare service utilization among such patients,and evaluate the extent of inequity so as to provide scientific evidence and policy references for improving the equity of health service use for this population.

With the continuous rise in the incidence of chronic diseases,the traditional medical model has gradually shown limitations in coping with long-term and complex chronic disease management.In recent years,the rapid development of"Internet+"technologies,especially the deep integration of artificial intelligence,big data and other technologies,has opened up new paths for chronic disease management.This paper explores the application status and practical challenges of the"Internet+"chronic disease management model,and deeply analyzes its important role in improving the efficiency of chronic disease manage-ment,enhancing patients' health levels,and optimizing the allocation of medical resources.At the same time,it focuses on the prominent problems in technological progress and practical application,and puts forward targeted improvement measures accord-ingly,so as to provide suggestions and references for the high-quality development of"Internet+"chronic disease management in China.

With the continuous rise in the incidence of chronic diseases,the traditional medical model has gradually shown limitations in coping with long-term and complex chronic disease management.In recent years,the rapid development of"Internet+"technologies,especially the deep integration of artificial intelligence,big data and other technologies,has opened up new paths for chronic disease management.This paper explores the application status and practical challenges of the"Internet+"chronic disease management model,and deeply analyzes its important role in improving the efficiency of chronic disease manage-ment,enhancing patients' health levels,and optimizing the allocation of medical resources.At the same time,it focuses on the prominent problems in technological progress and practical application,and puts forward targeted improvement measures accord-ingly,so as to provide suggestions and references for the high-quality development of"Internet+"chronic disease management in China.

Driven by the accelerating aging of global population,the prevalence of chronic diseases has been increasing annually.A growing proportion of patients often suffer from multiple concurrent chronic diseases-a condition termed multimorbidi-ty.In China,the utilization of healthcare services by patients with chronic disease multimorbidity is significantly influenced by factors such as age,economic status,education and other social determinants,giving rise to notable disparities in healthcare eq-uity.This paper reviews the current status of chronic-disease multimorbidity,investigate healthcare service utilization among such patients,and evaluate the extent of inequity so as to provide scientific evidence and policy references for improving the equity of health service use for this population.

Objective:To investigate the current sedation level of patients with mechanical ventilation in ICU, and to explore the influence of early different sedation levels on clinical outcomes, so as to provide theoretical basis for better guidance of clinical sedation evaluation and implementation of sedation strategy management.Methods:This study was a retrospective longitudinal study. The 201 patients with invasive mechanical ventilation who underwent sedation in the Department of Intensive Care Medicine of the First Affiliated Hospital of Guangxi Medical University from January to December 2021 were selected by convenience sampling method. According to the results of Richmond Agitation-Sedation Scale(RASS), the patients were divided into deep sedation group (98 cases) and shallow sedation group (103 cases). The influencing factors of endotracheal intubation retention time and outcome were investigated by Cox multifactor analysis.Results:In the early sedation ≤48 h after the start of mechanical ventilation, 63.2%(2 143/3 389) of patients with invasive mechanical ventilation had a RASS score of shallow sedation, 35.2%(1 194/3 389) of patients with deep sedation, and 1.5%(52/3 389) of patients with insufficient sedation. Cox multivariate regression analysis showed that age, sedation level, duration of invasive mechanical ventilation and continuous renal replacement therapy were the factors influencing the indentation time of tracheal insertion ( χ2 values were 4.73 to 74.31, all P<0.05); early deep sedation was a risk factor for delayed extubation ( HR=0.499, 95% CI 0.276-0.903, P<0.05); gender, sedation level, invasive mechanical ventilation duration, acute physiology and chronic health evaluation Ⅱ scores, admission mode, continuous renal replacement therapywere the influencing factors of patient outcomes ( χ2 values were 4.41 to 26.20, all P<0.05). The deeper the sedation, the worse the patient outcomes ( HR=0.568, 95% CI 0.335-0.963 all P<0.05) . Conclusions:The early sedation level is related to the retention time and outcome of tracheal intubation in ICU patients with mechanical ventilation, and different sedation levels affect the clinical outcome of patients. The retention time of tracheal intubation in patients with shallow sedation was shortened, which was beneficial to the outcome of patients.Therefore, sedation evaluation should be strengthened in clinical work, and sedation methods should be selected according to the needs of patients. In the absence of contraindications, the shallow sedation strategy should be implemented as soon as possible. This study provides some reference and theoretical basis for the formulation and management of clinical sedation strategies.