ObjectiveThis study aims to explore risk factors for the development of major adverse cardiovascular and cerebrovascular events （MACCEs） in middle-aged and elderly patients with type 2 diabetes mellitus complicated with stable angina pectoris （T2DM-SAP） based on real-world clinical data in traditional Chinese medicine （TCM）， so as to develop a COX proportional risk prediction model and visualize the predicted results using a nomogram. MethodBased on the clinical scientific research information sharing system， the medical records of 586 T2DM-SAP patients （45-94 years old） were collected from January 2012 to December 2019， including age， gender， course of disease， major medical history， laboratory examination， tongue image， pulse image， TCM syndrome， and major treatment drugs. MACCE outcome indicators of patients were obtained by telephone follow-up and re-hospitalization records. The data was divided into a training set and a validation set according to 7∶3. In the training set， COX univariate analysis was used to determine the risk factors for MACCE in T2DM-SAP patients， and then variables were screened by forward-backward stepwise regression method， so as to establish a MACCE risk prediction model and construct a nomogram. The predictive efficacy of the model was reflected by the C-index， receiver operating characteristic （ROC） curve， calibration map， and clinical decision curve. ResultThe history of cerebrovascular disease ［Hazard ratio （HR）=1.983， 95% confidence interval （CI，1.314-2.993）］， low-density lipoprotein （LDL-C/mmol·L^-1）≥4.1［HR=2.683， 95%CI（1.461-4.925）］， dull red tongue ［HR=1.955， 95%CI（1.273-3.002）］， dull purple tongue ［HR=4.214， 95%CI（2.017-8.803）］， white thick coating ［HR=3.030， 95%CI（1.634-9.293）］， thin and weak pulse ［HR=2.233， 95%CI（1.283-3.888）］， and syndrome of wind-phlegm blocking collaterals ［HR=2.007， 95%CI（1.179-3.418）］ were found to be risk factors in middle-aged and elderly T2DM-SAP patients. Insulin ［HR=0.604， 95%CI（0.399-0.914）］， glycosidase inhibitor ［HR=0.627， 95%CI（0.409-0.962）］， and TCM treatment ［HR=0.328， 95%CI（0.214-0.503）］ were protective factors in middle-aged and elderly T2DM-SAP patients. The prediction model was constructed based on the above risk factors. The C-index of the model was 0.818 （95% CI 0.777 -0.859） in the training set and 0.814 （95% CI 0.773-0.855） in the validation set， and the change of C-index over time was plotted. The AUC of patients for 5， 10， 15 years in the training set was 0.71， 0.67， and 0.61. The AUC of patients for 5， 10， and 15 years in the validation set was 0.60， 0.68， and 0.63， respectively. The calibration map and clinical decision curves of 5， 10， 15 years were drawn in the training set and the validation set， respectively. The model was well calibrated and clinically effective. ConclusionThe history of cerebrovascular disease， LDL， dull red tongue， dull purple tongue， white thick coating， thin and weak pulse， and syndrome of wind-phlegm blocking collaterals are risk factors for MACCE in middle-aged and elderly T2DM-SAP patients， and insulin， glycosidase inhibitors， TCM treatment are protective factors for MACCE in middle-aged and elderly T2DM-SAP patients. A clinical prediction model is established accordingly. This model has good discrimination， calibration degree， and clinical effectiveness and provides a scientific basis for the prevention and treatment of MACCE in middle-aged and elderly T2DM-SAP patients.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27％.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

Objective The aim of this study was to assess the impact of bisphenol A (BPA) and its substitute, bisphenol F (BPF), on the colonic fecal community structure and function of mice.Methods We exposed 6-8-week-old male C57BL/6 mice to 5 mg/(kg·day) and 50 μg/(kg·day) of BPA or BPF for 14 days. Fecal samples from the colon were analyzed using 16S rRNA sequencing. Results Gut microbiome community richness and diversity, species composition, and function were significantly altered in mice exposed to BPA or BPF. This change was characterized by elevated levels of Ruminococcaceae UCG-010 and Oscillibacter and decreased levels of Prevotella 9 and Streptococcus. Additionally, pathways related to carbohydrate and amino acid metabolism showed substantial enrichment. Conclusion Mice exposed to different BP analogs exhibited distinct gut bacterial community richness, composition, and related metabolic pathways. Considering the essential role of gut bacteria in maintaining intestinal homeostasis, our study highlights the intestinal toxicity of BPs in vertebrates.