Objective To understand the influencing factors of chronic dyslipidemia in T2DM patients who signed a contract for diabetes point system management in Qingpu District, and to provide a basis for comprehensive intervention and prevention and control of dyslipidemia in T2DM patients and to optimize the management strategy of Qingpu District diabetes point system. Methods Among the T2DM patients who signed the diabetes point system from 2017 to 2023, patients with chronic dyslipidemia and normal blood lipids were selected and included in the case group and the control group, respectively. A case-control study was conducted with 1:1 matching by age and gender to analyze the factors influencing dyslipidemia. Results Multifactorial paired logistic regression analysis showed that overweight/obesity and central obesity and smoking in T2DM patients increased the risk of dyslipidemia by 1.93, 2.27, and 2.16 times, respectively. Long-term use of lipid-lowering drugs, duration of diabetes for 5 years or more, regular physical exercise, knowledge of blood lipid status, and married status could reduce the risk of dyslipidemia in T2DM patients (OR values were 0.547, 0.452, 0.685, 0.386 and 0.354, respectively). Current complications (history of stroke, coronary heart disease, and renal insufficiency) were also associated with dyslipidemia (OR=1.802, 95% CI:1.125-2.888). Conclusion The management of diabetes point system in Qingpu District should strengthen the feedback and interpretation of blood lipid monitoring results, improve patients’ health awareness of blood lipid management, and actively take comprehensive management of lifestyle intervention and drug treatment to effectively control blood lipid and reduce the occurrence of related complications.

OBJECTIVES: To investigate the therapeutic mechanism of Thesium chinense Turcz. (TCT) for antibiotic-associated diarrhea (AAD). METHODS: Network pharmacology, KEGG pathway enrichment analysis and molecular docking were used to identify the shared targets and genes of TCT and AAD, the key signaling pathways and the binding between the active components in TCT and the core protein targets. In a Kunming mouse model of AAD established by intragastric administration of lincomycin hydrochloride, the effects of daily gavage of 1% carboxymethyl cellulose sodium or TCT gel solutions at 1.5 g/kg and 3 g/kg (n=10) on body weight and diarrhea were observed. HE staining, ELISA, 16S rRNA sequencing, and Western blotting were used to examine pathologies, expression levels of IL-6 and TNF-α, changes in gut microbiota, and protein expressions of EGFR, p-EGFR, PI3K, p-PI3K, Akt, and p-Akt in the colon tissues of the mice. RESULTS: We identified a total of 66 active components of TCT and 68 core targets including EGFR, STAT3 and PIK3CA. KEGG pathway enrichment analysis suggested that the therapeutic effects of TCT was mediated primarily through the PI3K/Akt signaling pathway. Molecular docking showed that EGFR had the highest binding affinity with coniferin, and the EGFR-coniferin complex maintained a stable conformation at 10 ns, whose stability was also confirmed by Gibbs free energy analysis. In the mouse models of AAD, treatment with TCT significantly improved colonic tissue morphology, decreased colonic levels of TNF-α and IL-6, increased gut microbiota diversity, and modulated the relative abundances of the key genera including Lactobacillus and Bacteroides. TCT treatment also markedly reduced protein expressions of p-EGFR, p-PI3K and p-Akt in the colon tissues of the mice. CONCLUSIONS TCT can alleviate AAD in mice by modulating gut microbiota composition, regulating the EGFR/PI3K/Akt signaling pathway, and reducing TNF‑α and IL-6 expressions.
Animals ; Gastrointestinal Microbiome/drug effects* ; Signal Transduction/drug effects* ; Mice ; ErbB Receptors/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Diarrhea/drug therapy* ; Phosphatidylinositol 3-Kinases/metabolism* ; Anti-Bacterial Agents/adverse effects* ; Drugs, Chinese Herbal/therapeutic use* ; Molecular Docking Simulation

Objective:To construct a nomogram model for differentiating gastric schwannoma (GS) from gastric stromal tumor (GST) (diameters 2 to 5 cm) based on CT imaging features before surgery.Methods:The clinical and imaging data of 49 patients with GS and 240 patients with GST in the Affiliated Hospital of Jining Medical University from July 2009 to April 2023 and Guangdong Provincial People′s Hospital from June 2017 to September 2022 were analyzed retrospectively. The independent factors for differentiating GS from GST were obtained by multivariate Logistic regression analysis. The nomogram model was constructed by R4.3.1 software. The efficacy of the nomogram model for differentiating GS from GST was evaluated by the receiver operating characteristics (ROC) curve, and calibration curve and decision curve analysis were used to evaluate the predictive efficacy and clinical application value of the nomogram model.Results:There were no statistical differences in the clinical symptom rate, calcification rate, ulcer rate, tumor vessel rate, ratio of long diameter to short diameter and CT value difference during the arterial and nonenhanced phases (CTV A-N) between GS patients and GST patients ( P>0.05). The proportion of female, incidence of lesions located in central or lower part of stomach, extraluminal or mixed growth rate, tumor-associated lymph node rate, strong enhancement rate, CT value difference during the portal and nonenhanced phases (CTV P-N), CT value difference during the delayed and nonenhanced phases (CTV D-N), CT value difference during the portal and arterial phases (CTV P-A) and CT value difference during the delayed and portal phases (CTV D-P) in GS patients were significantly higher than those in GST patients: 75.51% (37/49) vs. 58.33% (140/240), 85.71% (42/49) vs. 54.17% (130/240), 75.51% (37/49) vs. 45.00% (108/240), 44.90% (22/49) vs. 5.42% (13/240), 51.02% (25/49) vs. 27.08% (65/240), 32.0 (26.0, 43.5) HU vs. 29.0 (22.0, 37.7) HU, (44.59 ± 13.46) HU vs. (32.94 ± 12.47) HU, 20.0 (11.5, 25.0) HU vs. 10.0 (5.0, 17.0) HU and 9.0 (6.0, 12.0) HU vs. 4.0 (-2.7, 7.0) HU, the age, irregular shape rate, cystic degeneration rate and heterogeneous enhancement rate were significantly lower than those in GST patients: (58.12 ± 12.59) years old vs. (62.05 ± 11.22) years old, 16.33% (8/49) vs. 38.33% (92/240), 18.37% (9/49) vs. 51.25% (123/240) and 34.69% (17/49) vs. 56.25% (135/240), and there were statistical differences ( P<0.05 or<0.01). Multivariate Logistic regression analysis result showed that location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P were the independent factors for differentiating GS from GST ( OR= 3.599, 0.201, 19.031, 1.124 and 1.160; 95% CI 1.184 to 10.938, 0.070 to 0.578, 6.159 to 58.809, 1.066 to 1.185 and 1.094 to 1.231; P<0.05 or<0.01). The nomogram model for differentiating GS from GST was constructed based on location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P. The area under curve of the nomogram model for differentiating GS from GST was 0.924 (95% CI 0.887 to 0.951). The calibration curve analysis result showed that there was a good agreement between the predicted GS curve and the actual GS curve (the mean absolute error was 0.033). The result of the Hosmer-Lemeshow goodness-of-fit test indicated that the calibration of the nomogram model was appropriate ( χ2 = 2.52, P = 0.961). The clinical decision curve analysis result showed that when the threshold for the nomogram model for differentiating the two tumors was>0.03, the nomogram yielded more net benefits than the "all patients treated as GS" or "all patients treated as GST" scenarios. Conclusions:The nomogram model based on CT imaging features can be used to differentiate GS from GST before surgery.

Objective To investigate the current status of frailty in patients on maintenance hemodialysis(MHD),and explore the correlation of frailty with anxiety and depression.Methods General information,clinical data and blood biochemical data of 101 cases who underwent MHD in Department of Nephrology,Shunde Hospital Affiliated to Jinan University from January 2023 to January 2024 were collected.FRAIL scale was applied to evaluate the frailty of the patients,and they were accordingly classified into frailty group and non-frailty group(including pre-frail and non-frail participants).Anxiety and depression were evaluated by GAD-7 and PHQ-9 scale.Univariate analysis and logistic regression were used to explore the association of frailty with anxiety,depression and other possible influencing factors.Results Among the 101 cases,29 cases(28.71%)were includedin frailty group and 72 cases(71.29%)in non-frailty group.There were 42 patients with depression(41.58%)and 25 with anxiety(24.75%).In the frailty group,the prevalence of depression was 65.52%and that of anxiety 55.17%.There were significant differences in age,grip strength,exercise,stroke and coronary heart disease,anxiety and depression,ferritin and CRP between the two groups(P＜0.01).Multivariate regression analysis showed that depression,anxi-ety,no exercise,stroke and high ferritin concentration were independent risk factors for frailty in MHD patients(P＜0.05).Conclusion In patients on MHD,frailty is closely associated with depression,anxiety,and lack of exercise,and stroke as well as high ferritin concentration are independent risk factors for frailty.

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Objective:To compare demographic characteristics,clinical characteristics,therapeutic characteris-tics and physiological indicators of patients with bipolar Ⅰ disorder and bipolar Ⅱ disorder.Methods:A total of 381 patients with bipolar disorder(BD)diagnosed by the Diagnostic and Statistical Manual of Mental Disorders 5 th Edi-tion(DSM-5)were selected,including 302 patients with BD-Ⅰ(79.27％),74 patients with BD-Ⅱ(19.42％)and 5 patients with other specific and related disorders(1.31％).Demographic and clinical characteristics were collected with self-designed clinical information questionnaire.Multivariate logistic regression and multivariate linear regres-sion analysis were used for analysis.Results:Compared with patients with BD-Ⅱ,patients with BD-Ⅰ had more risk to have psychotic features(OR=5.75,95％CI:2.82-11.76),longer disease duration,and more repeated transcra-nial magnetic therapy(OR=3.09,95％CI:1.02-9.35),higher uric acid,total cholesterol and high-density lipo-protein.BD-Ⅰ in Han nationality was more common(OR=11.50,95％CI:1.76-75.30),and had lower education level(OR=10.22,95％CI:1.16-89.77),and less family history of psychosis(OR=2.34,95％CI:1.01-5.42).Conclusion:There are significant differences between BD-Ⅰ and BD-Ⅱ in demographic and clinical charac-teristics,treatment status,and physiological indicators,which could provide clues for exploring the pathogenesis of bipolar disorder.

Objective:To compare clinical characteristics,treatment patterns and physiological indicators in bipolar disorder(BD)patients with different age of onset.Methods:Totally 380 patients with DSM-5 BD were se-lected in this study.Psychiatrists diagnosed the patients using the Mini International Neuropsychiatric Interview.The clinical information questionnaire and the Global Assessment of Functioning scale were utilized to collected clinical characteristics,treatment status,and physiological indicators.The onset age of BD was divided into 21 and 35 years as cut-off points.Multivariate logistic regression and linear regression were used to analyze related factors.Results:Among the 380 patients with BD,199 cases were early-onset group(52.4％),121 cases were middle-onset group(31.8％),and 60 cases were late-onset group(15.8％).There were 26.6％of patients in the early-onset group in-itially diagnosed as depression,23.1％in the middle-onset group,and 11.7％in the late-onset group.Multivariate analysis revealed that compared to the early-onset group of BD,the middle-onset(OR=2.22)and late-onset(OR=4.99)groups had more risk to experience depressive episodes,and the late-onset group(OR=6.74)had 6.74 times of risk to suffer from bipolar Ⅱ disorder.Additionally,patients in the middle-onset(β=-1.52)and late-on-set(β=-4.29)groups had shorter durations of delayed treatment,and those in the middle-onset(β=-1.62)and late-onset(β=-3.14)groups had fewer hospitalizations.Uric acid levels were lower in both the middle-onset(β=-28.39)and late-onset(β=-31.47)groups,and total cholesterol level was lower in the middle-onset group(β=-0.23).Conclusion:Patients with BD in different age of onset show significant differences in clinical charac-teristics,treatment conditions and physiological indicators.

ObjectiveTo explore the compliance related factors of repeated screening for colorectal cancer in Jiading District， and to provide a scientific basis for the prevention and control of colorectal cancer. MethodsBased on the natural population cohort in Jiading District， and the screening situation in 2017‒2019 and 2020‒2022， the study subjects were divided into the groups of never participating in screening and participating in screening. Subjects in the participating group were further divided into participating in one round of screening or having repeated screening. SPSS 21.0 software was used to analyze the demographic characteristics of each group. χ² test or Fisher precise probability test were used to conduct univariate analysis of the factors such as gender， age， education level， marital status， retirement status， and type of medical insurance. Factors with the significant difference （P<0.05） were selected for inclusion in multivariate analysis， and factors related to compliance with repeated screening were analyzed by multivariate logistic regression. ResultsA total of 8 179 subjects were included in the study， including 3 323 males （40.6%） and 4 856 females （59.4%）. The average age of the subjects was （61.26±6.06） years old. A total of2 652 （32.4%） had educated in primary school or below， 4 242 （51.9%） in secondary school， and 1 285 （15.7%） in higher secondary school. Mostly， 7 579 （92.7%） were married. Among the participants， 4 062 people had never participated in screening， 4 117 people had participated in screening， and 1 485 of them had repeated screening， with a repeated screening rate of 18.2%. Multivariate logistic regression analysis showed that women had better compliance with repeated screening than men （OR=1.31， 95%CI： 1.14‒1.50）. Compared with the population aged 50 to 54 years， the population aged 55‒59 years （OR=1.57， 95%CI： 1.19‒2.08）， 60-64 years （OR=2.77， 95%CI： 2.13‒3.61）， and 65-69 years （OR=3.31， 95%CI： 2.51‒4.36） had higher compliance with repeated screening. Compared with employees' medical insurance， residents' medical insurance group had worse compliance with repeated screening （OR=0.76， 95%CI： 0.66‒0.87）. People with a history of intestinal polyps were more likely to undergo repeat screening than those without （OR=2.07， 95%CI： 1.50‒2.87）. ConclusionCompliance with repeated screening for colorectal cancer still needs to be improved， and there are differences in compliance with repeated screening for different populations with different characteristics. Identifying groups that are unlikely to adhere to community-based colorectal cancer screening and taking targeted interventions can help improve the continued compliance of residents with colorectal cancer screening.

Objective:To assess the clinical value of nomogram based on high resolution magnetic resonance vessel wall imaging (HR-VWI) features in differentiating moyamoya disease (MMD) from atherosclerotic moyamoya syndrome (A-MMS).Methods:Eighty-four patients with digital subtraction angiography (DSA)-confirmed MMD and 73 patients with DSA-confirmed A-MMS were enrolled from Department of Medical Imaging, Affiliated Hospital of Jining Medical University from June 2020 to November 2023. All patients underwent HR-VWI. A retrospective analysis was performed on their imaging data. Univariate analysis was used to compare the differences in imaging characteristics between the two groups. Multivariate Logistic regression analysis was used to screen independent influencing factors for differentiating MMD from A-MMS and a nomogram was constructed accordingly. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the validity and calibration of the nomogram.Results:Univariate analysis showed that age, pattern of vessel wall thickening, maximum vessel wall thickness, enhancement degree of vessel wall, vessel external diameter, ipsilateral anterior cerebral artery involvement and dot sign were statistically different between the two groups ( P<0.05). Multivariate Logistic regression analysis showed that age ( OR=6.990, 95% CI: 2.340-20.360, P<0.001), pattern of vessel wall thickening ( OR=0.066, 95% CI: 0.014-0.307, P<0.001), vessel external diameter ( OR=5.224, 95% CI: 1.672-16.324, P=0.005), ipsilateral anterior cerebral artery involvement ( OR=0.160, 95% CI: 0.038-0.679, P=0.013) and dot sign ( OR=0.081, 95% CI: 0.018-0.364, P=0.001) were independent influencing factors for differentiating MMD from A-MMS. ROC curve showed that area under the curve (AUC) of this nomogram was 0.884 (95% CI: 0.821-0.947, P<0.001), and the calibration curve showed a good fit between the predicted probability and actual probability. Conclusion:Nomogram based on HR-VWI features can effectively differentiate MMD from A-MMS.

Objective:To describe the current situation of mental health service utilization of community pa-tients with five mental disorders in Inner Mongolia Autonomous Region and provide reference for health education and formulating relevant policies.Methods:The multistage stratified sampling method with unequal probability was used to select a total of 12 315 community residents aged 18 and over in Inner Mongolia Autonomous Region.Using Composite International Diagnostic Interview,mood disorders,anxiety disorders,substance use disorders,intermit-tent explosive disorders,and eating disorders,and health service utilization were investigated.Descriptive statistics was completed by single factor analysis method.Results:The lifetime rates of consultation and treatment of any mental disorder were 18.7％and 10.2％,respectively.The highest proportion of patients received treatment by non-medical professionals was 31.4％,followed by psychiatrists in psychiatric hospital or psychologists in general hospitals.Among the patients,1.1％of them received medication,and 2.5％received psychotherapy.Conclusion:The utilization rate of mental health services in community patients with five mental disorders is relatively low.It is necessary to conduct health education for medical help seeking properly.