Objective:To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus(DM),to construct a Bayesian network model to explore the network relationships among the influencing factors,and to predict the risk of angina pectoris in the patients with DM.Methods:Based on the UK Biobank(UKB)database,the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM.The taboo search algorithm was used for structure learning,and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results:A total of 22 712 DM patients were included.The influencing factors of angina pectoris in the patients with DM included 14 variables:gender,age,body mass index(BMI),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HbA1c),hypertension,maternal smoking around delivery,smoking status,alcohol consumption,regular exercise,insomnia,sleep duration,and childhood relative body size(P<0.05).A Bayesian network model was constructed with 15 nodes and 22 directed edges.Among them,age,HbA1c,hypertension,regular exercise,BMI,and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM,while gender,smoking status,alcohol consumption,TC,TG,insomnia,childhood relative body size,and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM.Conclusion:Age,HbA1c,hypertension,regular exercise,BMI,and sleep duration are direct influencing factors of angina pectoris in the patients with DM.Controlling HbA1c,blood pressure,and BMI levels,engaging in regular exercise,and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patients with DM.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Objective:To investigate the application value of a multi-dimensional digital moni-toring platform for perioperative period in gastric cancer patients.Methods:The retrospective cohort study was conducted. The clinical data of 50 patients who underwent laparoscopic radical gastrec-tomy in The Affiliated Hospital of Nanjing University of Chinese Medicine from July 2022 to January 2024 were collected. There were 35 males and 15 females, aged (64±12)years. All patients followed the concept of enhanced recovery after surgery, and the multi-dimensional digital monitoring platform based on wearable monitoring equipment was used to implement perioperative management measures. Observation indicators: (1) results of heart rate variability (HRV) monitoring; (2) results of blood glucose and blood oxygen monitoring; (3) results of exercise and sleep monitoring; (4) results of body composition monitoring. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(IQR). Repeated measurement data were analyzed using the repeated ANOVA. Measurement data with skewed distri-bution were transformed to normal distribution by SPSS transformation function before testing. For comparison between pre- and postoperation, paired sample t test was used for measurement data with normal distribution, and nonparametric Wilcoxon signed rank sum test was used for measure-ment data with skewed distribution. Results:(1) Results of HRV monitoring. From preoperation to the third day after surgery, the standard deviation normal to normal heart beat of 50 patients was changed from(103±26)ms to(101±36)ms, the mean of the standard deviations of normal to normal heart beat calculated per 5 min segment was changed from (45±16)ms to(33±12)ms, the number of pairs of adjacent NN intervals differing by more than 50 ms in the entire recording was changed from 6.02%(4.96%) to 5.79%(4.20%), the low frequency power was changed from 376.78(468.96)ms 2 to 742.79(525.20)ms 2, the high frequency power was changed from 273.61(273.58)ms 2 to 397.48(164.87)ms 2, the ratio of low frequency power to high frequency power was changed from 1.6±0.5 to 1.6±0.6, showing significant differences in above indicators before and after operation ( F=34.43, 26.15, 24.58, 5.51, 6.11, 6.02, P<0.05). (2) Results of blood glucose and blood oxygen monitoring. From preoperation to the third day after surgery, the blood glucose of 50 patients was changed from 6.75(2.05)mmol/L to 6.90(2.63)mmol/L, showng a significant difference before and after operation ( F=45.84, P<0.05). The blood oxygen was changed from 97.00%(5.00%) to 97.50%(3.00%), showing no significant difference before and after operation ( F=2.25, P>0.05). (3) Results of exercise and sleep monitoring. From preoperation to the third day after surgery, the number of steps fo 50 pati-ents was changed from 3 043(1 224) to 1 473(767), sleep duration was changed from(8.2±1.1)hours to(7.3±0.8)hours, sleep score was changed from 80±10 to 78±5,showing significant differences in above indicators before and after operation ( F=716.46, 29.02, 47.32, P<0.05).(4) Results of body composition monitoring. The body weight of 50 patients was changed from (63±8)kg to(61±8)kg before and after operation, body fat rate was changed from 24%±8% to 22%±9%, muscle mass was changed from 43 (12)kg to 41(17)kg, body mass index was changed from (23.0±2.6)kg/m 2 to(22.1±2.5)kg/m 2, showing significant differences in above indicators before and after operation ( t=8.19, 3.00, Z=-2.78, t=7.34, P<0.05), while there was no significant difference in basal metabolic indicators from (1 390±134)kcal to (1 379±139)kcal before and after operation ( t=1.02, P>0.05). Conclusion:The multi-dimensional digital monitoring platform for preoperative period can accurately monitor the perioperative stress level and evaluate the postoperative recovery of gastric cancer patients, which can present the visual results.

OBJECTIVE To research the effect and mechanism of fermentation of Astragalus membranaceus on endogenous metabolites in hyperuricemia model rats using serum UHPLC-HRMS. METHODS The SD rats were randomly divided into different groups, including blank group, model group, benzbromarone group(20 mg·kg-1), as well as fermentation of Astragalus membranaceus high-dose(3 g·kg-1) and low-dose group(1.5 g·kg-1). Model group and each treatment group were disposed with 300 mg·kg-1 oxonic acid potassium to establish hyperuricemia models. At the time of 1 h after modeling, rats in each treatment group were given corresponding drugs for intervention. Collected rat serum after 14 d. The serum of different groups were collected for endogenous metabolites research using UHPLC-HRMS. After multivariate statistical analysis, the different metabolites and metabolic pathways were selected. RESULTS The hyperuricemia rat modes were successfully established by oxonic acid potassium 14 d, and fermentation of Astragalus membranaceus showed good uric acid reducing effect. Compared with the blank group, 17 potential biomarkers associated with hyperuricemia were found in the model group. Among them, 9 potential biomarkers were significantly recalled by fermentation of Astragalus membranaceus. It mainly involved sphingolipid metabolism, pyrimidine metabolism, tryptophan metabolism, pantothenic acid and CoA biosynthesis, glycine, serine and threonine metabolism and other pathway. CONCLUSION This study can provide a basis for revealing the mechanism of reducing uric acid by fermentation of Astragalus membranaceus, and lay a foundation for the further development and utilization of Astragalus.

Objective    To investigate the clinical manifestations of patients with cardiac myxoma and the factors affecting the occurrence of embolic events. Methods     A retrospective study of 38 patients with cardiac myxoma diagnosed and surgically removed from January 2010 to December 2017 was performed. There were 11 males and 27 females at age of 32-75 (50.00±16.12) years. The patients were divided into a non-embolized group and an embolized group. The clinical manifestations of the patients were summarized and the factors leading to embolism were analyzed. Rseults    Of the 26 patients in the non-embolized group, 22 patients (84.62%) had dyspnea, 14 patients (53.85%) had palpitations, 4 patients (15.38%) had angina pectoris, and 1 patient (3.85%) had heart failure. Of the 12 patients in the embolized group, 4 patients (33.33%) had dyspnea, 3 patients (25%) had palpitations, and 1 patient (8.33%) had angina pectoris. The mean diameter of the non-embolized group was 5.71±1.63 cm, and the maximum diameter of the tumor in the embolized group was 4.52±1.88 cm. There was no significant difference between the maximum diameter of the tumor in the embolized group and the maximum diameter of the non-embolized group (P>0.05). Atrial fibrillation occurred in 2 patients in the non-embolized group before operation. Atrial fibrillation occurred in 5 patients in the embolized group. Atrial fibrillation was more likely to occur in the embolized group (P<0.05). Conclusion     Atrial fibrillation in the patients with cardiac myxoma is closely related to embolic events. The size of myxoma is not related to the occurrence of embolic events.

Objective     To evaluate efficacy of amiodarone in the prevention of atrial fibrillation after coronary artery bypass grafting. Methods     CBM (from January 1978 to August 2017), CNKI (from January 1987 to August 2017), VIP (from January 1989 to August 2017), Wanfang (from January 1998 to August 2017) and PubMed (from January 1989 to August 2017) databases were searched. The articles were selected based on the inclusion and exclusion criteria. Quality of articles was assessed by improved Jadad scale. Statistical analysis was performed using RevMan 5.3. Results     There were 19 articles meeting inclusion criteria including 2 817 patients and all were randomized controlled trial (RCT). There were 16 articles with high quality and 3 articles with low quality by improved Jadad scale. Compared with the placebo, amiodarone had a significant effect on reducing the incidence of atrial fibrillation after coronary artery bypass grafting (RR=0.37, 95% CI 0.28 to 0.50, P<0.000 01) and different administration models and time of amiodarone had effect on the atrial fibrillation after aterial bypass grafting (P<0.05). Conclusion    Compared with the placebo, amiodarone is effective in reducing the incidence of atrial fibrillation after coronary artery bypass grafting.

Objective : To study the distribution range of the color values of the upper anterior teeth of Uygur youth in the Kashi area of XinJiang as a reference for clinical applications. Methods: Based on the International Commission on Illumination (CIE) L*a*b* color system, the colorimetric values of the anterior teeth of 212 Uygur youths in Xinjiang, Kashi, were analyzed by digital camera colorimetry. There were 105 males and 107 females. The length of the neck to the cutting end of the tooth was measured, and the tooth was evenly divided into thirds. To determine the chromaticity values of the incisors, lateral incisors, cuspids, and middle teeth, 1/3 of the cervical, middle and incisal regions and 9 test areas were measured. Results : The color of the cervical, middle and incisal regions of the same tooth position in Uygur youth in the Kashi area showed the following trends: L* value: middle regions > cervical regions > incisal regions; a* value: cervical regions > incisal regions > middle regions; b* value: cervical regions > middle regions > incisal regions, and the differences were statistically significant (P < 0.05). The value of L* gradually decreased, and the value of a* gradually increased (P < 0.05). There were no significant differences in the a* value of male and female maxillary anterior teeth (P > 0.05). However, there was a significant difference in the b* value between the middle teeth and the incisors, the middle and the incisal regions of the upper maxillary incisors, and the cutting end of the upper maxillary incisors (P < 0.05). Conclusions There was a significant difference in the color of the cervical, middle and incisal of the same tooth. The upper jaw gradually reduced from the incisors to the sharp teeth, and the color gradually became reddish. The maxillary central incisor was brighter in males than in females, and the middle and incisal regions of the maxillary front teeth were more yellow than in males than in females.

OBJECTIVETo understand the epidemiological profiles of hand, foot and mouth disease (HFMD) and the major enteroviruses causing the epidemics of HFMD in Shanghai from 2010 to 2014.

METHODThe city-wide surveillance data between 2010 and 2014 were used to analyze the epidemiologic characteristics of the HFMD outbreaks in Shanghai. The annual incidence of HFMD was estimated based on the 2010 Shanghai Census data.

RESULTFrom 2010 to 2014, the reported HFMD cases were 41 080, 37 323, 51 172, 42 198, and 65 018, respectively; the severe cases (case-severity ratio) were 469 (1.14%), 456 (1.22%), 318 (0.62%), 104 (0.25%) and 248 (0.38%), respectively. Based on Shanghai census data by the end of 2010, the attack rates of HFMD in Shanghai were 0.16%-0.28% in the entire population. In terms of the proportion of HFMD cases and severe cases in the specific population, male accounted for 59.62%-61.48% and 62.26%-73.08%, migrant population accounted for 51.86%-62.40% and 72.01%-80.38%; children aged 1.0-1.9 years comprised the highest proportion, up to 22.70%-27.00% and 32.08%-36.40%. HFMD peaked from April to July, in parallel with the peak circulation of enterovirus (EV) 71, and a small peak usually occurred in autumn and winter. All the critically severe and fatal cases were caused by EV71. The detection rates of EV71 and Coxsackievirus A (CA) 16 were 73.08%-88.09% and 1.12%-2.90% in severe HFMD cases, 19.75%-48.74% and 2.02%-23.69% in uncomplicated inpatients, and 16.78%-40.08% and 8.36%-33.39% in mild community cases, respectively. The detection rates of CA6 and CA10 in the mild community cases in 2014 were 18.38% and 1.43%, respectively. In 2013 non-EV71 and non-CA16 enteroviruses comprised 74.86% in the community cases.

CONCLUSIONThe annual HFMD outbreaks occurred in Shanghai during 2010-2014. Children under 5 years of age, migrant population and male were the major susceptible population. EV71 and CA16 were the predominant pathogens causing the epidemics of HFMD except in 2013, and CA6 was prevalent in the community cases in 2014. The major peak season of HFMD usually overlapped with the peak of EV71 circulation and the majority of severe HFMD cases were associated with EV71 infection.

Child ; China ; epidemiology ; Disease Outbreaks ; Enterovirus A, Human ; Female ; Hand, Foot and Mouth Disease ; epidemiology ; Humans ; Incidence ; Male ; Prevalence ; Seasons