Objective:To test the reliability and validity of Urban empty-nesters Home Safety Risk Factor Assessment Scale (Uen-HAS), in order to provide an instrument for assessing the safety risk factors of urban empty-nesters.Methods:Totally 530 urban empty-nesters from Fuzhou City, Fujian Province were employed by convenient sampling method for household survey, from August to October 2018. Item analysis and validity and reliability test were conducted.Results:The final version of urban empty nest elderly home safety risk factor assessment scale (Uen-HAS) contains 5 scales, 12 sub-scales and 55 items. The Cronbach α coefficient of the scale was 0.896. The content validity index (S-CVI) of the total scale was 0.881. The correlations of the scores between each item and the total scale ranged from 0.509 to 0.812 with statistical significance ( P<0.05). Conclusion:The scale has good reliability and validity. It could be an instrument to access safety risk factors of urban empty nesters.

Objective To investigate the application value of ultrasound combined with MRI in the diagnosis of fetal urinary system abnormalities.Methods The clinical data of 647 cases of fetal urinary system abnormalities suspected by prenatal ultrasound were ana-lyzed retrospectively.All pregnant women underwent MRI examination within 2 days after ultrasound examination.Using pathology and follow-up as the gold standard,the accuracy and imaging features of ultrasound and MRI in detecting fetal urinary system abnor-malities were analyzed.Results Among 600 cases confirmed by pathology and follow-up,the accuracy of MRI,ultrasound and com-bined diagnosis of fetal urinary system abnormalities were 96.50％,96.67％,97.00％,sensitivity were 95.28％,96.23％,98.11％,and specificity were 96.76％,96.76％,96.76％,respectively.There were no significant differences in accuracy,sensitivity,specificity,positive predictive value and negative predictive value between MRI,ultrasound and combined diagnosis(P＞0.05).The area under the curve(AUC)of MRI,ultrasound and combined diagnosis of fetal urinary system abnormalities were 0.960,0.965 and 0.974,respectively,with no statistical significance(P＞0.05).Conclusion Compared with prenatal ultrasound,MRI also has a higher accuracy(96.50％)in the diagnosis of fetal urinary system abnormalities,and can be used as an important supplement to prenatal ultrasound.

Objective To investigate the application of artificial intelligence-based follow-up plan for patients after percutaneous coronary intervention(PCI).Methods The follow-up plan of artificial intelligence after PCI was constructed through literature review and expert correspondence consultation.A total of 82 patients with coronary heart disease who underwent PCI in the Second Affiliated Hospital of Nanchang University from October 2022 to November 2023 were selected and divided into intervention group and control group according to random number table method,with 41 cases in each group.The control group was given routine nursing program,and the intervention group was added artificial intelligence-based follow-up program on the basis of control group.The incidence of major adverse cardiovascular event(MACE)within 6 months,30 days readmission rate,medication compliance and satisfaction score were compared between two groups.Results The incidence of MACE within 6 months and 30 days readmission rate in intervention group were significantly lower than those in control group(P＜0.05).After 6 months of intervention,Morisky scale score and satisfaction score of patients in two groups were significantly higher than before intervention(P＜0.05),and Morisky scale score and satisfaction score of patients in intervention group were significantly higher than those in control group(P＜0.05).Conclusion Follow-up program based on artificial intelligence technology can reduce the incidence of MACE and 30 days readmission rate of patients after PCI.

Objective:To explore the effects of short-term particulate matter(PM)exposure and the melatonin receptor 1B(MTNR1B)gene on triglyceride-glucose(TyG)index utilizing data from Fang-shan Family-based Ischemic Stroke Study in China(FISSIC).Methods:Probands and their relatives from 9 rural areas in Fangshan District,Beijing,were included in the study.PM data were obtained from fixed monitoring stations of the National Air Pollution Monitoring System.TyG index was calculated by fasting triglyceride and glucose concentrations.The associations of short-term PM exposure and rs10830963 polymorphism of the MTNR1B gene with the TyG index were assessed using mixed linear models,in which covariates such as age,sex,and lifestyles were adjusted for.Gene-environment inter-action analysis was furtherly performed using the maximum likelihood methods to explore the potential effect modifier role of rs10830963 polymorphism in the association of PM with TyG index.Results:A total of 4 395 participants from 2 084 families were included in the study,and the mean age of the study participants was(58.98±8.68)years,with 53.90％females.The results of association analyses showed that for every 10 μg/m3 increase in PM2.5 concentration,TyG index increased by 0.017(95％CI:0.007-0.027),while for per 10 μg/m3 increment in PM1o,TyG index increased by 0.010(95％CI:0.003-0.017).And the associations all had lagged effects.In addition,there was a positive association between the rs10830963 polymorphism and the TyG index.For per increase in risk allele G,TyG index was elevated by 0.040(95％CI:0.004-0.076).The TyG index was 0.079(95％CI:0.005-0.152)higher in carriers of the GG genotype compared with carriers of the CC genotype.The inter-action of rs10830963 polymorphism with PM exposure had not been found to be statistically significant in the present study.Conclusion:Short-term exposure to PM2.5 and PM10 were associated with higher TyG index.The G allele of rs10830963 polymorphism in the MTNR1B gene was associated with the elevated TyG index.