ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective To explore the expression differences of the docking protein 1(DOK1)gene in multiple tissues of mice during the development stage from prediabetes to type 2 diabetes mellitus(T2DM),as well as its correlation with blood lipid levels.Methods The mice were divided into the 0 d group(control),the 20 d group,the 40 d group,the 60 d group,the 80 d group and the T2DM group.The 0 d group was fed with normal diet,while the other four groups were fed with high-fat diet to establish the prediabetes model.On this basis,the T2DM group was given low-dose multiple intraperitoneal injections of streptozotocin(STZ)to establish the T2DM model.The fasting and intraperitoneal glucose tolerance test(IPGTT)and insulin tol-erance test(IPITT)blood glucose of mice in each group were detected,and the expression of the DOK1 gene in nine tissues(heart,liver,kidney,skeletal muscle,pancreas,adipose,spleen,lung and colon tissues)was de-tected by qPCR.The level of DOK1 in serum was determined by ELISA,and the lipid level in serum was measured by an automatic biochemical analyzer.The correlations between serum DOK1 and TG,TC,HDL-C,LDL-C,lipoprotein A[LP(a)],and free fatty acids(FFA)were analyzed by Spearman correlation analysis.Re-sults The prediabetic and T2DM model mice were successfully established.Compared with the 0 d group,the blood glucose and lipid levels in the 80 d group and the T2DM group were significantly increased(P<0.001).Compared with the 0 d group,the expression level of DOK1 mRNA in the T2DM group was significantly de-creased in heart,liver,kidney,skeletal muscle,pancreas and adipose tissue(P<0.05).Compared with the 0 d group,the expression level of DOK1 mRNA in the 80 d group was significantly decreased in heart,liver,kid-ney and skeletal muscle tissue(P<0.05).Compared with the 0 d group,the expression levels of DOK1 mR-NA in the 40 d group and the 60 d group was significantly decreased in the liver tissues(P<0.05).Compared with group 0 d,there was no statistically significant difference in the expression level of DOK1 mRNA in the spleen,lung and colon tissues among each group(P>0.05).DOK1 in the 80 d group and the T2DM group was negatively correlated with TG,TC,LDL-C,LP(a),and FFA(r=-0.787 8,-0.727 2,-0.763 7,-0.764 2,-0.892 5,P<0.001),while positively correlated with HDL-C(r=0.961 3,P<0.001).Conclu-sion The reduction of DOK is related to the mechanism of insulin resistance and may play a key role in lipid metabolism disorders associated with diabetes.

Objective To assess the global and Chinese disease burden of early-onset lung cancer(di-agnosed in patients aged 15-49 years)and its major risk factors.Methods Based on the GLOBOCAN 2022 and Global Burden of Disease(GBD)2021 datasets,we evaluated the disease burden and associated risk fac-tors of early-onset lung cancer globally and in China,stratified by age,sex,geographic location,and human development index(HDI).Key indicators included age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and disability adjusted life years(DALYs)attributable to risk factors.Results In 2022,there were 137 705 new cases and 72 646 deaths from early-onset lung cancer globally,with ASIR and ASMR of 3.43 per 100 000 and 1.82 per 100 000 population,respectively.The disease burden was higher in males than in females(ASIR:3.72 per 100 000 vs.3.14 per 100 000;ASMR:2.31 per 100 000 vs.1.33 per 100 000).High-HDI regions exhibited the highest ASIR(5.51 per 100 000)and ASMR(2.57 per 100 000),with health inequality analysis revealing a concentration of disease burden in higher-HDI areas.China bore the heaviest burden,accounting for 48.69%of global new cases and 35.77%of deaths.China's ASIR(8.21 per 100 000)and ASMR(3.17 per 100 000)exceeded global averages,with incidence higher in fe-males(8.78 per 100 000 vs.7.67 per 100 000)but mortality higher in males(4.01 per 100 000 vs.2.29 per 100 000).Smoking and ambient particulate matter pollution were the leading risk factors globally(DALYs contribution:42.01%and15.62%)and in China(DALYs contribution:46.78%and 20.84%).Globally,household air pollution ranked third,whereas in China,secondhand smoke replaced it as the third leading risk factor,with household air pollution dropping to fifth.Risk factor profiles varied significantly across age groups,with modifiable risks contributing less to disease burden in the 15-24 age group.Conclusions The burden of early-onset lung cancer varies markedly by sex,region,and HDI,with China facing a disproportionately high burden.Policymakers should prioritize equitable resource allocation and targeted interventions,particularly in tobacco control and air pollution mitigation,to enhance cancer prevention and control efforts.

Objective To investigate the correlation between serum uric acid(SUA),total bilirubin(TBil),monocyte/high-density lipoprotein cholesterol ratio(MHR)and carotid intima-media thickness(CIMT)in patients with type 2 diabetes mellitus(T2DM).Methods 212 T2DM patients treated from May 2020 to June 2023 were selected and divided into thickening(Thic,n=98)group and a simple T2DM(T2DM,n=114)group according to whether CIMT thickens.The general and clinical data of the two groups were compared.logistic regression was used to analyze the main factors affecting CIMT thickening.ROC was used to analyze the efficacy of SUA,TBil and MHR in diagnosing CIMT.Results The age,DM duration,SBP,DBP,FPG,HbA1c,HOMA-IR,TG,LDL-C,serum creatine,SUA,M,MHR and CIMT in Thic group were higher than those in T2DM group(P<0.05),while FIns and TBil were lower than those in T2DM group(P<0.05).Age,DM duration,SBP,DBP,FPG,HbA1c,HOMA-IR,LDL-C,SUA,M and MHR were positively correlated with CIMT(P<0.05).FIns,TBil were negatively correlated with CIMT(P<0.05).Logistic regression analysis showed that age,DM duration,SBP,HbA1c,SUA,TBil and MHR were the main factors affecting CIMT thickening.ROC analysis showed that the area under the curve values of SUA,TBil and MHR independently and jointly predicted CIMT thickening were 0.684,0.674,0.741 and 0.846.Conclusions SUA,TBil and MHR levels are independent risk factors for CIMT thickening in T2DM patients.The combined detection of SUA,TBiL and MHR has high efficacy in predicting CIMT thickening.

Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes. If not intervened in time, NAFLD may develop into liver fibrosis or liver cancer, and ultimately threatening life. NAFLD has complicated etiology and pathogenesis, and there are no effective therapeutic means and specific drugs. Currently, insulin sensitizers, lipid-lowering agents and hepatoprotective agents are often used for clinical intervention, but these drugs have obvious side effects, and their effectiveness and safety need to be further confirmed. Adenosine monophosphate (AMP)-activated protein kinase (AMPK) plays a central role in maintaining energy homeostasis. Activated AMPK can enhance lipid degradation, alleviate insulin resistance (IR), suppress oxidative stress and inflammatory response, and regulate autophagy, thereby alleviating NAFLD. Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects. In this article, we reviewed the biologically active natural herbal medicines (such as natural herbal medicine formulas, extracts, polysaccharides, and monomers) that reported in recent years to treat NAFLD via regulating AMPK, which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Objective To describe and analyze the epidemiological characteristics of scrub typhus in Huai'an, Jiangsu Province from 2006 to 2024 and explore the long-term incidence trend and distribution of high-risk areas, and to formulate targeted prevention and control strategies. Methods The scrub typhus case report data of Huai'an from 2006 to 2024 in the Chinese Disease Prevention and Control Information System were extracted for descriptive analysis. Results A total of 898 cases of scrub typhus were reported in Huai'an, with an average annual incidence rate of 0.96 per 100 000 from 2006 to 2024. There was a turning point in the incidence trend of scrub typhus in 2011. From 2006 to 2011, the annual percentage change (APC) was 47.09% (95% CI: 7.53 - 859.39), and the upward trend was statistically significant (P < 0.05). From 2012 to 2024, the APC was -2.12% (95% CI: -29.09 - 3.75), and the downward trend was not statistically significant. October and November were the high-incidence months, and the total concentration from 2006 to 2024 was 0.93, indicating that scrub typhus had strict seasonality. The circular distribution method estimated that the peak period of the epidemic was from October 11th to November 25th, and the peak day of incidence was November 3rd. Jinhu County was a high-incidence area. The ratio of male to female cases was 1.03. The age group with the highest reported incidence was 40 to < 80 years old. The occupation with the highest proportion was farmers, accounting for 78.03%. Conclusion From 2006 to 2024, scrub typhus in Huai'an shows a peak every 3 - 4 years. Middle-aged and elderly farmers are the key population at risk, and Jinhu County is a key area. In the future, targeted health education should be carried out to effectively control the prevalence of scrub typhus.

OBJECTIVE: To observe the clinical efficacy of Qihuang needle therapy for autism spectrum disorder (ASD) children with sleep disorder. METHODS: A total of 60 ASD children with sleep disorder were randomly divided into an observation group and a control group, 30 cases in each group. Both groups were treated with structured education intervention, 60 min each time, once a day, 6 times a week. Qihuang needle therapy was applied at Yintang (GV24⁺), Baihui (GV20) and bilateral Jueyinshu (BL14), Xinshu (BL15) in the observation group, multi-direction needling was delivered and without needle retaining. The treatment was given 2 times a week, each treatment was delivered at interval of 2 days at least. Behavioral intervention was adopted in the control group. Treatment for consecutive 12 weeks was required in both groups. Before and after treatment, the scores of children's sleep habits questionnaire (CSHQ), the autism behavior checklist (ABC), the childhood autism rating scale (CARS), and the childhood autism behavior scale (CABS) were observed in the two groups. RESULTS: After treatment, the scores of CSHQ, ABC, CARS and CABS were decreased compared with those before treatment (P<0.01), and the above scores in the observation group were lower than those in the control group (P<0.05). CONCLUSION Qihuang needle therapy can effectively treat ASD with sleep disorder, improve the core symptoms of ASD and the sleep quality.
Humans ; Autism Spectrum Disorder/physiopathology* ; Male ; Female ; Child ; Sleep Wake Disorders/physiopathology* ; Child, Preschool ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Sleep ; Needles

Accessory mitral valve（AMV）refers to the additional valvular structural components connected to the normal mitral valve. It is a rare congenital cardiovascular malformation with an incidence of approximately 1/26 000. Most patients have no obvious symptoms and are often accidentally detected during echocardiography due to the presence of other associated cardiac malformations. The combination of AMV with left ventricular outflow tract（LVOT）vegetations is extremely rare and may be related to infective endocarditis. In this case，a 48-year-old male patient was discovered to have a "cardiac mass" during treatment for a cerebral infarction at an external hospital and was admitted to China-Japan Union Hospital of Jilin University for further diagnosis and treatment. Over the past 3 months，the patient experienced intermittent fever，accompanied by chest tightness and pain during physical exertion. The patient had a history of gout and diabetes. Transthoracic echocardiography（TTE）and transesophageal echocardiography revealed left ventricular outflow tract obstruction，accessory mitral valve（membranous fixed type），and a space-occupying lesion on the ventricular septal side within the left ventricular outflow tract. The final diagnosis of vegetation in the left ventricular outflow tract and accessory mitral valve was confirmed through surgical resection and postoperative pathology. Postoperative TTE showed a significant reduction in the flow velocity and pressure gradient within the left ventricular outflow tract. Echocardiography，with its advantages of simplicity，non-invasiveness，and repeatability，allows for the direct observation of accessory mitral valve and other cardiac abnormalities，evaluation of valve function and hemodynamic changes，and assessment of the left ventricular outflow tract obstruction condition. It facilitates preoperative diagnosis and postoperative follow-up，serving as the gold standard for diagnosing accessory mitral valve.