Objective To establish the functional constipated mouse model by compound diphenoxylate, and explore the anti-constipation effect of black garlic polysaccharide. Methods Mouse small intestine ink propulsion experiment and mouse defecation experiment were carried out respectively. The mice in each experiment were randomly divided into blank group, model group, positive group and black garlic polysaccharide （0.25, 0.5, 1 g/kg） groups. Mice in blank group and model group were given distilled water, and in positive group were given lactulose oral solution. Compound diphenoxylate （5 mg/kg） was intragastric administrated after 1 week of administration, and small intestine propulsion experiment and defecation experiment were conducted respectively. Results Compared with model group, intestinal propulsion rate of black garlic polysaccharide groups was significantly increased and first dejection time was significantly shorten, and the number, weight and fecal water content increased significantly at 6 h in middle and high dose groups. Conclusion Black garlic polysaccharide could promote intestinal propelling, shorten defecation time and increase fecal water content.

BACKGROUND: Stroke is the leading cause of death and long-term disability worldwide, including China. This study aimed to provide timely updates on stroke burden and stroke-related risk factors to help improve population-based prevention and control strategies. METHODS: Based on the Global Burden of Disease study 2021, incidence rate, prevalence rate, mortality rate, and disability-adjusted life-year (DALY) rate were used to estimate stroke burden trend from 1990 to 2021. RESULTS: In 2021, China had 4.1 million incident stroke cases, 26.3 million prevalent stroke cases, 2.6 million stroke related deaths, and 53.2 million stroke related DALYs, compared to 11.9 million incident stroke cases, 93.8 million prevalent stroke cases, 7.3 million stroke related deaths, and 160.5 million stroke-related DALYs worldwide. In 2021, the top six risk factors contributing to stroke burden were high blood pressure, air pollution, tobacco consumption, dietary risk factors, high low-density lipoprotein cholesterol, and high fasting plasma glucose, both in China and worldwide. From 1990 to 2021, China had significant increases of incidence rate, prevalence rate, mortality rate, and DALY rate for stroke, with estimates of 100.6 (95% uncertainty intervals [UI]: 87.2, 114.1)%, 102.9 (95% UI: 95.5, 110.9)%, 40.0 (95% UI: 14.9, 72.3)% and 15.7 (95% UI: -4.6, 41.2)%, respectively, while global incidence rate, prevalence rate, mortality rate and DALY rate for total stroke showed relatively moderate increases or even decreases, with estimates of 15.0 (95% UI: 12.1,18.0)%, 25.8 (95% UI: 23.7, 28.0)%, -2.6 (95% UI: -10.6, 5.5)%, and -10.7 (95% UI: -17.7, -3.6)%, respectively. CONCLUSION Stroke remains a huge disease burden worldwide and in China, and compared to the worldwide China has a significantly higher burden of stroke.
Humans ; Stroke/etiology* ; China/epidemiology* ; Risk Factors ; Global Burden of Disease ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Female ; Quality-Adjusted Life Years ; Male

Objectives:To evaluate the cost-effectiveness of typical pharmaceutical smoking cessation intervention strategies in China in the context of primary cancer prevention.Methods:Markov cohort simulation models were established to simulate the burden of 12 smoking caused cancer, including lung cancer, oral cancer, nasopharyngeal cancer, laryngeal cancer, esophageal cancer, gastric cancer, pancreatic cancer, liver cancer, kidney cancer, bladder cancer, cervical cancer, and acute myeloid leukemia. Taking incremental cost effectiveness ratio (ICER) as the main indicator, the model sets one year as the cycling period for 50 periods and simulates the cohort of 10 000 thirty-five-year-old current smokers with various smoking cessation strategies. To ensure the robustness of conclusion, univariate sensitivity analysis, probability sensitivity analysis, and age-group sensitivity analysis were conducted.Results:The results showed that varenicline intervention was the most cost-effective intervention. Compared to the next most effective option, incremental cost of each additional quality-adjusted life year is 11 140.28 yuan, which is below the threshold of willingness to pay (1 year GDP per capita). The value of ICER increased as the increasing age group of adopting intervention, but neither exceeded the threshold of willingness to pay. One-way sensitivity analysis showed that the value of discount rate, the hazard ratio and cost of intervention strategy had a greater impact on the result of ICER.Conclusion:In China, the use of varenicline to quit smoking is highly cost effective in the context of cancer primary prevention, especially for younger smokers.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.

Objective:To explore the application effect of early nursing intervention based on NNN-link in social disorders of children with autism spectrum disorders (ASD) .Methods:A total of 126 hospitalized children with ASD in the Rehabilitation Center of Henan Children's Hospital from January to May 2023 were selected as research subjects by convenience sampling. They were randomly divided into an intervention group ( n=63) and a control group ( n=63) using a random number table. The control group received routine care, while the intervention group received early nursing intervention based on NNN-link in addition to routine care. The Social Disorder-related Nursing Diagnosis Outcome Scales and the Childhood Autism Rating Scale (CARS) scores were compared between the two groups before and after intervention. Results:After the early nursing intervention, the scores for family atmosphere, participation in leisure activities, participation in play, social skills, and social participation were higher in the intervention group compared to the control group, the differences were statistically significant ( P<0.05). The CARS scores of the intervention group were also lower than those of the control group, the differences were statistically significant ( P<0.05) . Conclusions:Early nursing intervention based on NNN-link can effectively improve the social disorder conditions of children with ASD, reduce their autism symptoms, and promote recovery.

Objective:To establish the reference values and growth curves of skeletal muscle mass among children in the Nanjing area.Methods:A cross-sectional study was conducted with children who underwent physical examination at the Department of Child Health Care, Children′s Hospital of Nanjing Medical University from 2020 January to 2022 September. Their height, weight, body fat mass and skeletal muscle mass were measured. Body mass index, percentage of body fat mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat were calculated. The associations between skeletal muscle mass indices and physical measurements index were analyzed through the Spearman correlation test. The Mann-Kendall test was used to assess the trend for skeletal muscle mass. Generalized additive models for location, scale and shape were used to construct percentile reference values and growth curves of male and female skeletal muscle mass indices at different ages.Results:A total of 32 690 children aged 4-14 years were enrolled in this study, including 19 912 boys (60.91%). Skeletal muscle mass, percentage of skeletal muscle mass, relative skeletal muscle mass index and the ratio of skeletal muscle to body fat of boys and girls was 11.10 (8.40, 14.90) and 10.30 (7.90, 13.20) kg, 40.36% (37.01%, 43.13%) and 39.38% (36.43%, 41.88%), 6.70 (6.07, 7.52) and 6.33 (5.79, 7.00), 2.39 (1.46, 3.47) and 2.14 (1.45, 3.00) kg/m 2, respectively. Skeletal muscle mass of both boys and girls was all positively associated with weight ( r=0.97, 0.96), body mass index ( r=0.68, 0.63) and percentage of body fat mass ( r=0.40, 0.43) (all P<0.01). The reference values and growth curves showed that the percentage of skeletal muscle mass P50 ranged from 37.75%-44.61% in boys and from 36.22%-40.55% in girls. The relative skeletal muscle mass index P50 ranged from 5.80-9.68 kg/m 2 in boys and from 5.57-7.98 kg/m 2 in girls. The ratio of skeletal muscle to body fat P50 ranged from 1.86-2.67 in boys and from 1.29-2.41 in girls. There was an increasing trend with age for both boys and girls in the growth of skeletal muscle mass ( Z=4.20, 3.75, both Ptrend<0.01), and increased slightly before 9 years of age and then increased rapidly until 14 years of age in both boys and girls. Conclusions:The skeletal muscle mass indices change with age and gender during childhood. Percentile reference values for pediatric skeletal muscle mass indices can be used to evaluate the muscular growth and development in children in the Nanjing area.

Objective:To investigate the predictive value of neck circumference on cardiometabolic risk in children.Methods:This was a cross-sectional study of natural sources. As the prediction cohort, clinical data were collected from 3 443 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children′s Hospital of Nanjing Medical University from July 2021 to September 2022. As the validation cohort for external validation, clinical data were collected from 604 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children′s Hospital of Nanjing Medical University from October 2022 to March 2023. Height, weight, neck circumference, waist circumference and body composition were measured in both groups, and body mass index, neck circumference to height ratio (NHtR), waist circumference to height ratio, body fat percentage and skeletal muscle percentage were calculated. Systolic blood pressure, diastolic blood pressure, fasting blood glucose, blood lipid and uric acid and other cardiovascular and metabolic risk indicators were collected in both groups. The prediction cohort was further stratified into clustered and non-clustered groups based on the clustering of cardiometabolic risk factors (CCRF). Various variables between these 2 groups were compared using the Mann-Whitney U test. Pearson correlation and binary Logistic regression were conducted to investigate the correlations between neck circumference and cardiovascular metabolic risk factors. The accuracy of NHtR in predicting the CCRF was evaluated using the area under the curve (AUC) of receiver operating characteristic (ROC). The cutoff value was determined using the Youden index. The validation cohort was then divided into groups above and below the cutoff value, and the detection rate of CCRF between the 2 groups was compared using the χ2 test for validation .Results:In the prediction cohort of 3 443 children (2 316 boys and 1 127 girls), 1 395 (40.5%) children were overweight or obese, and 1 157 (33.6%) children had CCRF. Pearson correlation analysis revealed all significant positive correlations (all P<0.01) between neck circumference and systolic blood pressure ( r=0.47, 0.39), diastolic blood pressure ( r=0.27, 0.21), uric acid ( r=0.36, 0.30), and triglycerides ( r=0.20, 0.20) after adjusting for age in both males and females. Among both males and females, neck circumference both showed significant negative correlation (both P<0.01) with high-density lipoprotein cholesterol ( r=-0.27, -0.28), and no correlation with fasting glucose levels ( r=0.03, -0.03, both P>0.05). After adjusting for gender, age, and body fat percentage, increased body mass index, neck circumference, or waist circumference increased the risks of hypertension ( OR=1.23, 1.39, 1.07, all P<0.001), hyperuricemia ( OR=1.16, 1.23, 1.05, all P<0.001), hypertriglyceridemia ( OR=1.08, 1.16, 1.02, all P<0.01), low high-density lipoprotein cholesterol ( OR=1.10, 1.27, 1.03, all P<0.01), and the CCRF ( OR=1.51, 1.73, 1.15, all P<0.01). The areas under the ROC curves of NHtR in predicting CCRF was 0.73, with sensitivity and specificity at 0.66 and 0.71, respectively. The corresponding optimal cut-off value was 0.21. Validation with 604 children confirmed that the detection of CCRF in the NHtR≥0.21 group was 3.29 times (60.5% (112/185) vs. 18.7% (79/422), χ2=107.82, P<0.01) higher compared to the NHtR <0.21 group. Conclusions:Neck circumference is associated with cardiovascular metabolic risks such as hypertension, hyperlipidemia, hyperglycemia, and hyperuricemia in children. When the NHtR is ≥0.21, there is an increased likelihood of CCRF.

Objective To retrieve relevant literature on risk prediction model for methicillin-resistant Staphylococcus aureus (MRSA) infection among hospitalized patients from databases and evaluate the predictive model. Methods The literature on risk prediction models for MRSA infection among hospitalized patients was retrieved from PubMed, Embase, Scopus, Cochrane library, China National Knowledge Infrastructure (CNKI), WanFang data, and VIP database, with a time range from the inception of the database to January 1, 2024. Two researchers independently screened the literature, extracted data. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was applied to evaluate the risk of bias and applicability of the prediction model in the literature, and descriptive analysis was conducted. Results A total of 12 articles (15 prediction models) were included in this study, with significant differences in the total sample size, the number of MRSA infection events, sample size of modeling, and sample size of validation among the studies. Common predictors in the prediction models were admission to the intensive care unit, antibiotic use, history of residence in nursing facilities, age, chronic kidney disease, and previous hospitalization history. Nine articles conducted internal validation, and three articles conducted both internal and external validation. Nine articles reported the area under the receiver operating characteristic curve, and only three articles reported the calibration of the model based on the Hosmer-Lemeshow test. PROBAST analysis showed that 10 articles were assessed as high risk bias, mainly stemming from statistical analysis. Conclusion Most of the MRSA infection risk prediction models in the current literature have good predictive efficacy for MRSA infection, but they all have higher overall risk of bias, and only a few models have undergone external validation. Researchers should follow PROBAST standards to construct and externally validate models in the future so as to develop models suitable for clinical practice.

OBJECTIVE: To investigate ideal screw implant angle in reconstruction of tibiofibular syndesmosis injury by using a biomechanical test. METHODS: A total of 24 ankle specimens from adult cadavers were used as the tibiofibular syndesmosis injury model. According to the angle of screw placement, the tibiofibular syndesmosis injury models were randomly divided into groups A (0°), B (10°-15°), C (20°-25°), and D (30°-35°), and the screws were placed at a level 2 cm proximal to the ankle joint. The displacement of fibula was measured by biomechanical testing machine at neutral, dorsiflexion (10°), plantar flexion (15°), varus (10°), and valgus (15°) positions, with axial load of 0-700 N (pressure separation test). The displacement of fibula was also measured at neutral position by applying 0-5 N·m torque load during internal and external rotation (torsional separation test). RESULTS: In the pressure separation test, group C exhibited the smallest displacement under different positions and load conditions. At neutral position, significant differences were observed ( P<0.05) between group A and group C under load of 300-700 N, as well as between group B and group C under all load conditions. At dorsiflexion position, significant differences were observed ( P<0.05) between group A and group C under load of 500-700 N, as well as between groups B, D and group C under all load conditions, and the displacements under all load conditions were significantly smaller in group A than in group B ( P<0.05). At plantar flexion position, significant differences were observed ( P<0.05) between group D and group C under all load conditions. At valgus position, significant differences were observed ( P<0.05) between group A and group C under load of 400-700 N, as well as between groups B, D and group C under all load conditions. In the torsional separation test, group C exhibited the smallest displacement and group B had the largest displacement under different load conditions. During internal rotation, significant differences were observed ( P<0.05) between group B and group C under all load conditions, as well as between group D and group C at load of 3-5 N·m. During external rotation, significant differences were observed between groups B, D and group C under all load conditions ( P<0.05). No significant difference was detected between groups at the remaining load conditions ( P>0.05). CONCLUSION The ideal screw implant angle in reconstruction of tibiofibular syndesmosis injury was 20°-25°, which has a small displacement of fibula.
Humans ; Bone Screws ; Biomechanical Phenomena ; Fibula/injuries* ; Fracture Fixation, Internal/methods* ; Adult ; Ankle Joint/surgery* ; Ankle Injuries/surgery* ; Tibia/surgery* ; Male ; Range of Motion, Articular ; Weight-Bearing ; Female ; Cadaver ; Plastic Surgery Procedures/methods*

Humans ; Blood Pressure/physiology* ; Cohort Studies ; Patient Discharge ; Ischemic Stroke ; Stroke ; Brain Ischemia ; Diabetes Mellitus ; Hypertension