Objective To screen mutations in genes including ASXL1, TET2, IDH1, IDH2, SETBP1, MPL515, JAK2 exon 12 and JAK2V617 in 135 polycythemia vera (PV) patients. To assess progreasson and genomics characteristics post polycythemic myelofibrosis. Methods DNA sequencing of ASXL1(Exon12),TET2 (Exons 3-11),IDH1(Exon4),IDH2(Ex-on4),SEPBP1(Exon4),JAK2 exon 12 and MPL515 (Exon 10) genes were carried out using Sanger method. JAK2V617 muta-tion was detected by allele-specific PCR in patients with PV. In the mean time, the mutation load of JAK2V617F allele (V617F%) was evaluated by real-time PCR using Tagman MGB probe. Then, the significant of gene mutations and clinical outcomes of post-PV Myelofibrosis(PPMF)was analyzed. To study risk factors of PPMF, logistic regression were employed. Results ASXL1, TET2, IDH1, IDH2 were mutated in 7.69%(8/104), 5.26%(1/19) , 0.08%(1/120) and 0.08%(1/121) of all PV patient respectively. JAK2 was mutated in 82.22%(111/135) of PV patients with mutation rate of exon12 of 2.96%(4/135) and there were no mutation of MPL515 and SETBP1 in PV patients. ASXL1 mutation was found in 31.82%(7/22) PPMF patients. Spearman analysis showed that ASXL1 is correlated with JAK2V617F (V617F%) (rs=0.298,P=0.002). The hemo-globin was lower in patients with ASXL1 mutation than patient without mutation (wild type). Leukocyte count, V617F%>50%rate, thrombosis and PPMF were higher in patients with ASXL1 mutation than that of ASXL1 wild type(P＜0.05). ASXL1 mu-tation, V617F%>50% rate and splenomegaly were all risk factors of PPMF. Conclusion ASXL1 mutation is the risk-fac-tor of PPMF and may promote V617F%by some mechanism.

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 investigate the effect of pre-pregnancy weight and the increase of gestational weight on fetal growth restriction. Methods: From May 2013 to September 2014, a total of 3 474 pregnant women who took their first antenatal care and willing to undergo their prenatal care and delivery in Ma 'anshan Maternity and Child Care Centers were recruited in the cohort study. Excluding subjects without weight data before delivery (n=54), pregnancy termination (n=162), twins live births (n=39), without fetal birth weight data (n=7), 3 212 maternal-singleton pairs were enrolled for the final data analysis. Demographic information of pregnant woman, pregnancy history, disease history, height and weight were collected. In the 24^th-28^th, 32^nd-36^th gestational week and childbirth, three follow-up visits were undertaken to collect data of pregnancy weight, pregnancy vomiting, gestational hypertension, gestational diabetes mellitus, newborn gender and birth weight. χ² test was used to compare the detection rate of fetal growth restriction in different groups. Multivariate unconditional logistic regression model and spreadsheet were used to analyze the independent and interaction effect of pre-pregnancy weight and the increase of gestational weight on fetal growth restriction. Results: The incidence of fetal growth restriction was 9.7%(311/3 212). The incidence of fetal growth restriction in pre-pregnancy underweight group was 14.9% (90/603), higher than that in normal pre-pregnancy weight group (8.7% (194/2 226)) (χ²=24.37, P<0.001). The incidence of fetal growth restriction in inadequate increase of gestational weight group was 17.9% (50/279), higher than the appropriate increase of weight group (11.8% (110/932)) (χ²=36.89, P<0.001). Multivariate unconditional logistic regression analysis showed that compared with normal pre-pregnancy weight group, pre-pregnancy underweightwas a risk factor for fetal growth restriction, with RR (95%CI) at 1.76 (1.34-2.32); Compared with the appropriate increase of gestational weight group, inadequate weight increase during pregnancy was a risk factor for fetal growth restriction, with the RR (95%CI) at 1.70 (1.17-2.48). No additive model interaction [relative excess risk of interaction, attributable proportions of interaction, the synergy index and their 95%CI were 0.75 (-2.14-3.63), 0.21 (-0.43-0.86) and 1.43 (0.45-4.53), respectively] or multiplication model interaction (RR (95%CI): 1.00 (0.44-2.29)) existed between pre-pregnancy underweight and inadequate increase of gestational weight on fetal growth restriction. Conclusion Pre-pregnancy underweight and inadequate increase of gestational weight would increase the risk of fetal growth restriction without interaction.

Post-stroke depression (PSD) is one kind of the common mental diseases after stroke, and the prevention and treatment of PSD are very difficult. TREK-1, a two-pore domain potassium channel, is an important target in the pathogenesis of stroke and PSD, and it is closely related to neuroprotection and emotion regulation; inhibition of activity of TREK-1 channel can exert significant antidepressant effect. In recent years, TREK-1 channel blocker Spadin and Spadin analogs are discovered, and they have a relatively significant effect on ischemic stroke and PSD. In this paper, the research progress on the discovery, efficacy and therapeutic value of Spadin and Spadin analogs in PSD are summarized as follows.

Objective To retrieve relevant literature on risk prediction model for methicillin-re-sistant Staphylococcus aureus(MRSA)infection among hospitalized patients from databases and evalu-ate the predictive model.Methods The literature on risk prediction models for MRSA infection a-mong hospitalized patients was retrieved from PubMed,Embase,Scopus,Cochrane library,China Na-tional 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 litera-ture,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 a-nalysis 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,sam-ple size of modeling,and sample size of validation among the studies.Common predictors in the pre-diction 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 under-gone 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 retrieve relevant literature on risk prediction model for methicillin-re-sistant Staphylococcus aureus(MRSA)infection among hospitalized patients from databases and evalu-ate the predictive model.Methods The literature on risk prediction models for MRSA infection a-mong hospitalized patients was retrieved from PubMed,Embase,Scopus,Cochrane library,China Na-tional 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 litera-ture,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 a-nalysis 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,sam-ple size of modeling,and sample size of validation among the studies.Common predictors in the pre-diction 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 under-gone 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 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 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.

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.