Objective:To evaluate the medical service quality of psychiatric hospitals in Beijing based on diagnostic related group (DRG), analyze the evaluation effect, for refences to constructe a DRG performance evaluation system suitable for psychiatric hospitals.Methods:This study extracted data such as the number of DRG groups, etc. of hospitalized patients in 14 tertiary and secondary psychiatric hospitals in Beijing from 2018 to 2020 from the Beijing inpatient medical performance evaluation platform, and analyzed data on DRG performance evaluation indicators, as well as the average length of hospital stay and average cost of DRG enrolled cases. All data were analyzed using descriptive research methods, and inter group comparisons were conducted using the Mann Whitney U-test. Results:From 2018 to 2020, the average number of DRG groups in tertiary hospitals (28) was higher than that in secondary hospitals (10) ( P<0.05), and the average CMI values of both were the same(1.79); The average cost consumption index (1.15) of tertiary hospitals was higher than that of secondary hospitals (0.65) ( P<0.05), while the average time consumption index (1.11) was slightly lower than that of secondary hospitals (1.30); The mortality rate of the low-risk group in tertiary hospitals (0.01%) was generally lower than that in secondary hospitals (0.88%), and the average percentage of DRG admitted inpatients (82.8%) was significantly higher than that in secondary hospitals (27.3%) ( P>0.05). The average length of stay and cost per case for DRG enrolled inpatients in tertiary and secondary hospitals were lower than the overall hospital discharge cases ( P<0.05). Conclusions:The number of DRG groups, CMI value, and low-risk mortality rate could be used for evaluating the medical service capacity and safety of psychiatric hospitals, but the cost and time consumption index could not objectively reflect the efficiency of hospital medical services. DRG performance evaluation indicators are more suitable for evaluating short-term hospitalization of psychiatric patients. The proportion of DRG enrolled cases might be a potential indicator for evaluating the service quality of psychiatric hospitals.

BACKGROUND: Advances in organoid culture technology have provided a greater understanding of disease pathogenesis, which has been rarely studied in sepsis before. We aim to establish a suitable organoids-based intestinal injury model for sepsis. METHODS: Stable passaged organoids were constructed and pre-treated with lipopolysaccharide (LPS) to mimic sepsis-induced intestinal injury. The LPS-induced sepsis model was used as a reference. We used quantitative real-time polymerase chain reaction to evaluate the RNA levels of inflammatory factors and antimicrobial peptides. Enzyme-linked immunosorbent assay was used to evaluate the protein levels, hematoxylin and eosin staining was used to evaluate the pathology of the small intestine of mice, and immunohistochemistry and immunofluorescence were used to evaluate the intestinal epithelial barrier function. Perkin Elmer Operetta™ was used to obtain high-resolution images of three-dimensional organoids. RESULTS: An LPS concentration >150 μg/mL after 24 h was identified to cause organoid growth restriction. The fluorescence intensity of zonula occludens-1 and occludins at LPS concentrations >100 μg/mL decreased significantly after 24 h. After LPS stimulation for 8 h, the RNA expression levels of interleukin (IL)-1α, tumor necrosis factor alpha, granulocyte-macrophage colony-stimulating factor, IL-6, and regenerating islet-derived protein 3 alpha, beta, and gamma increased. These results resembled those of intestinal epithelial layer alterations in a mouse sepsis model. For IL-10, the RNA expression level increased only when the LPS level >200 μg/mL for 24 h. CONCLUSIONS This study provides the primary intestinal in vitro model to study the effects of LPS-induced intestinal injury resembling sepsis. This model provides a platform for immune associated mechanism exploration and effective drug screening.
Mice ; Animals ; Lipopolysaccharides/toxicity* ; Sepsis ; Intestinal Diseases ; Tumor Necrosis Factor-alpha ; Disease Models, Animal ; Organoids ; RNA