OBJECTIVE To systematically evaluate the efficacy and safety of Insulin degludec and liraglutide injection （IDegLira） and Insulin glargine and lixisenatide injection（iGlarLixi） in the treatment of type 2 diabetes mellitus（T2DM）， and provide an evidence-based basis for the clinical treatment of T2DM. METHODS Computerized searches of PubMed， Embase， the Cochrane Library， CNKI， Wanfang data and VIP were conducted with a time frame from the inception to August 2024. Randomized controlled trials（RCTs） were rigorously screened according to inclusion and exclusion criteria， from which information was extracted and included studies were evaluated for risk of bias. Network meta-analysis was performed using Stata 14.0 software. RESULTS A total of 15 RCTs， including 9 513 patients， were included， involving four treatment regimens： IDegLira， iGlarLixi， insulin degludec（IDeg）， and insulin glargine（iGlar）. The differences between IDegLira and iGlarLixi were not statistically significant（P＞0.05） for the outcome indexes of glycosylated hemoglobin（HbA1c）， fasting blood glucose， body weight， and the incidence of adverse events（P＞0.05）； for the outcome index of the incidence of hypoglycemic events， IDegLira was significantly superior to iGlarLixi [OR＝0.41，95%CI（0.18，0.91），P＜0.05]. Surface under the cumulative ranking curve（SUCRA） results showed that iGlarLixi（84.5%）＞IDegLira（81.7%） in lowering HbA1c； IDegLira（71.3%）＞iGlarLixi（20.0%） in lowering fasting blood glucose； IDegLira（90.7%）＞iGlarLixi（61.8%） in lowering body weight； IDegLira（95.5%）＞iGlarLixi（9.7%） in reducing the incidence of hypoglycemic events； and IDegLira（27.1%）＞iGlarLixi（14.5%） in reducing the incidence of adverse events. CONCLUSIONS iGlarLixi has better therapeutic efficacy in reducing HbA1c； IDegLira has better therapeutic efficacy in reducing fasting blood glucose and body weight. IDegLira has the lowest risk of hypoglycemia.

BackgroundDementia seriously affects the quality of life and lifespan of elderly people， with Alzheimer's disease （AD） being the most common type of dementia. Previous studies have suggested that gout may reduce the risk of developing AD， but the causal relationship between the two still requires further research. ObjectiveTo investigate the potential causal relationship between gout and AD through a two-sample Mendelian randomization （MR） analysis， so as to provide references for the prevention and treatment of AD. MethodsData from Genome-Wide Association Studies （GWAS） extracted in 2024 were analyzed， using pooled data on gout （6 810 cases in the case group and 477 788 cases in the control group） published by UK Biobank in 2021 as the exposure variable， and data on AD （3 899 cases in the case group and 214 893 cases in the control group） published by FinnGen in the same year as the outcome variable. The inverse-variance weighted， MR-Egger regression， weighted median estimation， simple model and weighted model were used to analyze the potential causal relationship between gout and AD. Pleiotropic effects were assessed using MR-Egger regression. Heterogeneity assessment was conducted using Cochran's Q test. The leave-one-out analysis was carried out for sensitivity analysis. And a funnel plot was drawn to detect potential publication bias. ResultsThe inverse-variance weighted analysis demonstrated a negative causal relationship between gout and AD （OR=0.004， 95% CI： 0~0.700， P<0.05）. The plot resembled a symmetrical inversed funnel， indicating the absence of publication bias. No heterogeneity was detected by Cochran's Q test. The MR-Egger regression indicated no significant horizontal pleiotropy. Concerning the reverse directions， no significant associations between AD and gout were noted. ConclusionThere is a negative causal relationship between gout and AD， with gout potentially reducing the risk of developing AD. ［Funded by The Third Batch of Social Welfare and Basic Research Projects （Medical and Health） of Zhongshan City in 2022 （number， 2022B3017）］

Abstract Childhood hypertension is becoming a substantial public health challenge with profound implications for children s quality of life and long term health. The study analyzes the global prevalence of childhood hypertension and the relationship between macroecological factors, meso environmental factors, and micro individual factors based on the perspective of life course and childhood hypertension. And it further summarizes existing prevention and control strategies: systematic prevention and control based on policy and social support, health promotion based on behavioral science theory, and dynamic monitoring and management based on individualized prevention and control, to provide a reference for promoting the advancement of childhood hypertension prevention and control strategies.

Background Environmental metal exposure is closely associated with the onset and progression of mild cognitive impairment (MCI) in the elderly. Effectively identifying hazardous metal exposure and assessing their interaction effects have significant public health implications. Objective To explore the relationship between urinary single metal and metal mixture exposure and MCI in elderly compound residents. Methods This study included 391 elderly individuals aged 60 and above from residential compounds in Zhongshan City, Guangdong Province. Concentrations of iron (Fe), copper (Cu), selenium (Se), arsenic (As), cadmium (Cd), manganese (Mn), chromium (Cr), nickel (Ni), vanadium (V), cobalt (Co), antimony (Sb), thallium (Tl), zinc (Zn), calcium (Ca), and magnesium (Mg) in urine were measured using inductively coupled plasma mass spectrometry. Cognitive function in the elderly was assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Logistic regression was used to explore the relationship between single metal exposure level and MCI. LASSO regression and multi-metal logistic regression models were used to identify key metal ions associated with MCI. Bayesian kernel machine regression (BKMR) was employed to analyze the relationship between key metal ion mixtures and MCI, as well as the interactions between metals. Age, gender, education level, occupation, and body mass index were adjusted as covariates. Results A total of 78 among the 391 elderly individuals surveyed (19.94%) were diagnosed with MCI (MCI group), and the other 313 individuals were controls. The levels of Se, Cd, Mn, and As in the urine of the MCI group were significantly higher than those in the control group (P < 0.05). In the single-metal model, after adjusting for covariates and using the first quartile (Q₁) of each metal concentration as the reference, the OR for MCI in the elderly in the Q₄ group of Se was 2.190 (95%CI: 1.017, 4.716); for Cd, the OR was 2.345 (95%CI: 1.041, 5.283) in the Q₃ group and 2.371 (95%CI: 1.043, 5.393) in the Q₄ group; for Mn, the OR was 2.355 (95%CI: 1.038, 5.344) in the Q₂ group; for As, the OR was 3.377 (95%CI: 1.442, 7.908) in the Q₃ group and 2.886 (95%CI: 1.227, 6.788) in the Q₄ group; for Sb, the OR was 2.779 (95%CI: 1.234, 6.257) in the Q₂ group. When urinary metal concentrations were ln-transformed and included as continuous variables in the single-metal model, Cd concentration was positively correlated with MCI (OR=1.377; 95%CI: 1.008, 1.882; P=0.044). Cd, Se, Mg, Ca, Mn, As, Cr, Co, Tl, and Sb were selected by the LASSO regression model and included in the multi-metal model. In the multi-metal model, compared with Q₁, the OR for MCI in the elderly was 0.395 (95%CI: 0.164, 0.953) in the Q₂ group of Co and 0.390(95%CI: 0.167，0.911) in the Q₃ group of Co; for Mn, the OR in the Q₂ group was 2.636 (95%CI: 1.053, 6.596); for Sb, the OR in the Q₂ group was 2.640 (95%CI: 1.047, 6.658). As continuous variables, Mg (OR=0.472; 95%CI: 0.248, 0.899; P=0.022) and Co (OR=0.857; 95%CI: 0.737, 0.996; P=0.044) concentrations were negatively correlated with MCI. The BKMR mixture analysis suggested that Mg and Co exhibited a synergistic negative correlation with MCI, while Mn and Sb exhibited a synergistic positive correlation with MCI. Mg and Co attenuated the positive correlation of Mn and Sb with MCI, whereas Mn weakened the protective effects of Mg and Co. Conclusion Elevated levels of Se, Cd, As, Mn, and Sb in urine may increase the risk of MCI in the elderly, while Mg and Co have protective effects. Potential synergistic or antagonistic interactions may be found among Mn, Sb, Mg, and Co, which should not be overlooked in terms of their impact on the cognitive function of the elderly.

Abstract: Inflammatory bowel disease (IBD), whose pathogenesis remains elusive, is a group of autoimmune diseases characterized by chronic, progressive, and lifelong inflammation of the digestive tract. The pathogenesis of IBD remains elusive. Although a number of drugs have been developed to treat IBD, their effects are merely anti-inflammatory. In addition, current treatments for IBD are easily susceptible to resistance in clinical practice. Mesenchymal stem cells (MSCs) have been reported to have the ability to migrate to the site of inflammation, with potent immunoregulatory effects, and to rebalance the immune microenvironment and restore the integrity of the epithelial barrier with significant value of application, particularly for patients who are refractory to classic medicines. In this paper, we reviewed the clinical applications, mechanisms and engineerable properties of MSC products and their exosomes to provide some reference for the use of MSCs and their exosomes in the treatment of IBD.

Objective The performance characteristics of statistical quality control procedures in Westgard sigma rule are analyzed by using the power function graph.Methods According to the drawing principle of power function graph,the internal quality control program design software of clinical laboratory quantitative measurement was developed.and the Westgard sigma rule quality control procedures were simulated with power function graph.The performance of the quality control procedures recommended by Westgard sigma was analyzed by combining different sigma quality levels.Results The rules recommended by Westgard sigma were relatively simple rules that can meet the requirements of error detection probability and false rejection probability.Conclusion The internal quality control procedure design software for quantitative clinical testing has verified the performance of Westgard sigma recommendation rules.The Westgard sigma rule diagram is intuitive and convenient,the laboratory can use the Westgard sigma recommendation rules for internal quality control.

Objective To evaluate the change of cardiac structure and function in patients with hypertrophic obstructive cardiomyopathy(HOCM)after ultrasound-guided percutaneous intramyocardial septal radiofrequency ablation(PIMSRA)via cardiac magnetic resonance(CMR).Methods Patients with HOCM who underwent PIMSRA,echocardiography and CMR preoperative scanning and one year after surgery were analyzed retrospectively.Myocardial structural and functional parameters were measured by Circle cardiovascular imaging post-processing software.The changes of myocardial parameters before and after surgery were compared by using paired sample t-test and Chi-square test.Results Compared with the preoperative assessment,patients'clinical symptoms and the cardiac function were significantly improved one year after surgery.The left ventricular outflow tract pressure gradient(LVOT-PG)was significantly decreased and length of mitral regurgitation was shortened one year after surgery compared with before surgery via ultrasound(P<0.05).Compared with the preoperative assessment,CMR showed that patients with end-systolic volume of left atrium,minimum volume of left atrium,transverse diameter of left atrium,thickness of ventricular septum and free wall of left ventricular at end-systolic section were significantly reduced,and left ventricular mass(LVM)was significantly decreased one year after surgery,with statistical significance between before and after surgery(P<0.001).One year after surgery,the left atrium ejection fraction(LAEF)was significantly increased(P<0.05),the maximum slope and the maximum signal intensity of the ventricular septum and the left ventricular free wall of the papillary muscle were significantly increased(P<0.001),and the peak time was significantly decreased(P<0.001)compared with before surgery.Conclusion After PIMSRA treatment,the systolic function of left atrium in HOCM patients is improved,and the microcirculation perfusion of left ventricular is significantly improved.

BACKGROUND:Traditional 3D dental segmentation methods usually utilize predefined spatial geometric features,such as curvature and normal vectors,as the reference information for tooth segmentation. OBJECTIVE:To propose an algorithm for complex 3D dental segmentation and deeply explore the correlation between segmentation results and application scenarios. METHODS:A 3D dental segmentation algorithm based on dual stream extraction of structural features and spatial features was established,and the modular design of split flow was used to avoid feature confusion.Among them,the attention mechanism on the structural feature flow was used to capture the fine-grained semantic information required for tooth segmentation,and the Tran Net based on the spatial feature flow was used to ensure the robustness of the model to complex tooth and jaw segmentation.This algorithm verified its effectiveness and reliability based on clinical datasets including healthy dental jaws and complex dental jaws such as missing teeth,malocclusion and dentition crowding.The segmentation performance of the model was measured in terms of overall accuracy,mean intersection over union,and directional cut discrepancy. RESULTS AND CONCLUSION:The overall segmentation accuracy of this algorithm in the clinical data set is 97.08%,and the segmentation effect is superior to that of other competitive methods from the qualitative and quantitative perspectives.It is verified that the structural feature flow designed in this paper can extract more precise local details of tooth shape from coordinate and normal information by constructing an attention aggregation mechanism,and the spatial feature flow designed in this paper can ensure the robustness of the model to complex teeth such as missing teeth,dislocated teeth,and crowded dentition by constructing a transformation network(Tran Net).Therefore,this tooth segmentation algorithm is highly reliable for clinicians'practical reference.

Objective To explore the risk factors of apathy and correlations with cognitive function in patients with hypertension combined with cerebral small vessel disease(CSVD).Methods Totally 141 patients with hypertension combined with CSVD were prospectively enrolled and were divided into apathy group(n=43)and non-apathy group(n= 98)according to neuropsychiatric inventory-apathy scale(NPI-Apathy)scores.The general data,imaging marker scores and total imaging burden scores were compared between groups.In hypertension combined with CSVD patients,multivariate logistic regression analysis was performed to screen the independent risk factors of apathy,and Spearman correlation analysis was also performed to observe the correlation of apathy and cognitive function.Results The patients'age,high density lipoprotein cholesterol(HDL-C),Fazekas scores of lateral periventricular white matter hyper-intensity(WMH),cerebral microbleed of depth/infratentorial and total imaging burden scores of apathy group were all higher,while mini-mental state examination(MMSE)and Montreal cognitive assessment(MoCA)scores were both lower than those of non-apathy group(all P＜0.05).HDL-C and Fazekas scores of lateral periventricular WMH were both independent risk factors for apathy(both P＜0.05),while NPI-Apathy scores were moderately negatively correlated with cognitive function in patients with hypertension combined with CSVD(r=-0.543,-0.484,both P＜0.001).Conclusion HDL-C and Fazekas scores of lateral periventricular WMH were both independent risk factors for apathy in patients with hypertension combined with CSVD.The more severe the apathy,the lower the cognitive function.

Objective:To explore the predictive value of lipoproteins on the progression of critically ill patients to chronic critical illness (CCI).Methods:A retrospective cohort study was conducted to analyze clinical data of patients admitted to the intensive care unit (ICU) of Nanjing Drum Tower Hospital from January 1, 2020, to December 31, 2022. The levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) and apolipoproteins (ApoA-Ⅰ, ApoB) at 1, 3, 7, 14 and 21 days after admission to ICU were collected. The progression to CCI was recorded. CCI was defined as the length of ICU stay ≥14 days with sustained organ dysfunction [sequential organ failure assessment (SOFA) score ≥2]. Differences in lipoprotein levels between the patients with and without CCI were compared. Multivariate Logistic regression was used to analyze risk factors for critically ill patients progressing to CCI. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of lipoproteins on critically ill patients progressing to CCI.Results:A total of 200 patients were enrolled in the final analysis. 137 patients (68.5%) progressed to CCI, and 63 patients (31.5%) did not. The lipoprotein indicators in the CCI group showed a decrease after the acute phase, while the lipoprotein indicators in the non-CCI group showed an increase. The levels of HDL, LDL, ApoA-Ⅰ, and ApoB at various time points in the CCI group were significantly lower than those in the non-CCI group. HDL at 7 days in the CCI group was significantly lower than that in the non-CCI group [mmol/L: 0.44 (0.31, 0.61) vs. 0.67 (0.49, 0.75), P < 0.01]. Multivariate Logistic regression analysis showed that 7-day HDL was an independent risk factor for critically ill patients progressing to CCI [odds ratio ( OR) = 0.033, 95% confidence interval (95% CI) was 0.004-0.282, P = 0.002]. ROC curve analysis showed that the area under the ROC curve (AUC) of 7-day HDL for predicting critically ill patients progressing to CCI was 0.702, with a 95% CI of 0.625-0.779, P < 0.001. When the optimal cut-off value was 0.59 mmol/L, the sensitivity was 69.8%, and the specificity was 72.4%. Conclusions:The low level of lipoproteins is closely related to the progression of critically ill patients, and 7-day HDL has a certain predictive value for critically ill patients progressing to CCI. Continuously observation of the change trend of lipoprotein level is helpful to judge the progression of CCI in critically ill patients.