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.

Objective: To investigate the trend in disease burden of injuries among children and adolescents in China from 1990 to 2021, so as to provide a basis for formulating prevention and control strategies and reducing this disease burden. Methods: Data on mortality, disability-adjusted life years (DALY) rate, incidence, and prevalence of injuries among children and adolescents aged <20 years in China from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. All rates were standardized using the GBD 2021 world standard population. The trend in incidence of disease burden of injuries among children and adolescents across differents genders and ages from 1990 to 2021 was evaluated using average annual percent change (AAPC). Results: From 1990 to 2021, the standardized mortality (AAPC=-5.435%), standardized DALY rate (AAPC=-5.311%), standardized incidence (AAPC=-0.466%), and standardized prevalence (AAPC=-0.810%) of injuries among children and adolescents in China showed downward trends (all P<0.05). Among these, the standardized mortality of animal contact (AAPC=-9.138%) and the standardized DALY rate of medical side effects (AAPC=-8.389%) decreased at a relatively fast pace, while the standardized incidence of falls (AAPC=0.083%) and the standardized prevalence of exposure to natural forces (AAPC=2.656%) showed upward trends (all P<0.05). The standardized mortality, standardized DALY rate, standardized incidence and standardized prevalence of injuries were higher in males than in females. The trend in males showed a downward trend (all P<0.05), consistent with the total population. The crude incidence of injuries in the group aged 15-<20 years showed an upward trend (AAPC=0.391%, P<0.05), while the trend in the group aged 10-<15 years was not statistically significant (P>0.05). The crude incidence of injuries in the groups aged 5-<10 years and <5 years showed downward trends (AAPC=-0.488% and -2.275%, both P<0.05). In 2021, the <5 years age group had the highest crude mortality and crude DALY rate of injuries, at 13.94/100 000 and 1 257.26/100 000, respectively. The 15-<20 years age group exhibited the highest crude incidence and crude prevalence, at 4 874.05/100 000and 4 050.35/100 000, respectively. Drowning and falls were major components of the disease burden across all age groups. Conclusions From 1990 to 2021, the disease burden of injuries among children and adolescents in China showed an overall downward trend. The disease burden was consistently higher in males than in females. Children aged <5 years face a high risk of fatality and disability, while adolescents aged 15-<20 years experience a high incidence and frequency of injuries. Drowning and falls were key priorities for prevention and control.

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 provide high-quality clinical evidence of the efficacy of Tibetan medicine Honghua Ruyi (HHRY) pills for endometriosis-associated dysmenorrhea. Methods: This study constitutes a multicenter, randomized, double-blind, placebo-controlled trial encompassing a three-menstrual cycle intervention followed by a three-menstrual cycle follow-up period. A total of 164 eligible females with endometriosis-associated dysmenorrhea were randomly divided into HHRY pills and placebo groups in a 1:1 ratio. The primary outcome included dysmenorrhea symptoms assessed using Visual Analog Scale (VAS) scores and quality of life, whereas the secondary outcome measures included the maximum VAS for non-menstrual pelvic pain, duration of pain episodes (in days), frequency and quantity of the consumption of ibuprofen sustained-release capsules (or other non-steroidal anti-inflammatory drugs), and days off work/study for staff/student due to dysmenorrhea, ovarian cyst, and/or pelvic nodule size. The safety was monitored throughout the treatment period. All the analyses were based on the intention-to-treat principle. For continuous outcomes, simple or multiple linear regressions were used to estimate the differences between the HHRY pills and placebo groups, with categorical data expressed as the number and percentage of occurrences. Differences were compared using the chi-square test or Fisher's exact test. The predefined analysis was adjusted for concomitant treatment, a variable considered to be associated with outcomes but unaffected by treatment allocation. Estimates of treatment effects were reported with 95% confidence intervals. Two-tailed P values ≤ .05 were considered statistically significant. Conclusion Positive results from this trial, upon completion would provide robust evidence for the efficacy and safety of HHRY pills in treating dysmenorrhea in patients with endometriosis.

Objective: To investigate the influencing factors of depressive symptoms and to construct and verify the prediction model of depressive symptoms in middle school students, so as to provide risk assessment tools for effectively screening depressive symptom. Methods: Physical examination and questionnaire survey were conducted among middle school students in one city in Guangdong Province from September to October in 2021 ( n =2 376) and from September to October in 2022 ( n =4 344) by a multistage cluster sampling method, and a nomographic prediction model of depressive symptoms in middle school student was constructed. The questionnaire survey was conducted using the student health status and influencing factors questionnaire (secondary school version) and the Center for Epidemiological Studies Depression Scale (CES-D) to measure the lifestyle and depressive symptom of middle school students. Results: The detection rate of depressive symptoms in 2021 was 23.3%. Multivariate Logistic regression analysis showed that irregular breakfast ( OR =2.64), school bullying ( OR =4.28), being beaten by parents ( OR =2.86), using mobile devices for a long time ( OR =1.08) and sitting for a long time ( OR =1.05) were positively related to depressive symptoms in middle school students ( P <0.05). Long sleep duration ( OR =0.78) and outdoor activity durations of 1-<2, 2-<3 and ≥3 h/d (compared with <1 h/d, OR =0.63, 0.61, 0.49) were negatively related to depressive symptoms in middle school students ( P < 0.05 ). Multivariate Logistic regression analysis showed that 7 statistically signifucant predictive factors constructed a nomogram, and the AUC of the nomogram was 0.77, which had been verified internally and externally with good differentiation and reliability. Conclusions The nomogram prediction model of depressive symptoms provides a convenient and effective risk assessment tool for depressive symptoms among middle school students. The life behavior, diet behavior and injury behavior of middle school students play an important role in the formation of depressive symptoms. It should pay attention to the impact of the behavioral factors on the mental health of middle school students.

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.

OBJECTIVE To provide reference for basic analysis of the pharmacodynamic substance in Stahlianthus involucratus. METHODS Overall 24 SD male rats were randomly divided into blank group （purified water）， and administration group （ethanol extract of S. involucratus， 15.75 g/kg， calculated by crude drug）， with 12 rats in each group. They were given drug liquid/purified water intragastrically， twice a day， every 6-8 h， for consecutive 3 days. After medication， the blood， urine and fecal samples were collected from two groups of rats. UPLC-Q-Exactive-MS technology was used to identify the chemical constituents in the ethanol extract of S. involucratus， and metabolites in the blood， urine and fecal of rats after intragastrical administration of the ethanol extract of S. involucratus. Multivariate statistical analysis was employed to screen various serum metabolites. Metabolic pathways were analyzed by MetaboAnalyst 5.0 platform. RESULTS A total of 38 chemical constituents were identified from the ethanol extract of S. involucratus， including fourteen prototype components and three metabolites identified from 5 urine samples， nine prototype components identified from fecal samples， and ten prototype components and one metabolite identified from serum samples. A total of 71 differential metabolites were screened from two groups of rat serum samples， of which 44 differential metabolites， such as ferulic acid， glycyrrhizin， were up-regulated and 27 differential metabolites， such as arachidonic acid， phenylacetylglutamine， were down-regulated. The 71 differential metabolites were mainly enriched in 11 metabolic pathways， including phenylalanine metabolism， linoleic acid metabolism， arachidonic acid metabolism， and tryptophan metabolism. CONCLUSIONS Ferulic acid， liquiritigenin， isofraxidin and formononetin may be the material basis that directly exert pharmacological effects of S. involucratus. S. involucratus may exert anti-inflammatory effects by affecting metabolic pathways， including arachidonic acid metabolism and tryptophan metabolism.