BackgroundModified electroconvulsive therapy （MECT） is a common front-line strategy widely used in psychiatric practice， and the optimal first stimulus dosage in MECT is usually estimated clinically based on the factors influencing the patient's initial seizure threshold （IST）. However， previous studies on the influencing factors of IST have mostly suffered from limitations such as small sample sizes and single-dimensional research perspectives. ObjectiveTo explore the factors influencing IST in MECT for patients with mental disorders， so as to provide references for stimulus dosing strategies in MECT for the patients. MethodsA retrospective study was used to include 1 446 inpatients fulfilling the diagnostic criteria for any specific mental disorder listed in the ICD-10 and receiving MECT at Shandong Daizhuang Hospital from January 1， 2021 to August 1， 2023. Their general and clinical data were collected， including IST， psychiatric diagnostic categories， gender， ethnicity， age， body weight， body mass index （BMI）， course of disease， family history of psychiatric disorders， first episode status， use of antiepileptic drugs the day before treatment， use of benzodiazepines the day before treatment， and previous MECT treatment history. Pearson correlation analysis was utilized to test the correlation of IST with age， height， body weight， BMI， and course of disease， and stepwise multivariate linear regression analysis was performed to identify the factors affecting IST. ResultsIST yielded statistical difference among patients in terms of gender， first episode status， use of antiepileptic drugs the day before treatment， and use of benzodiazepines the day before treatment （t=2.256， -3.059， -2.136， -3.006， P<0.05 or 0.01）. IST in patients of different ages and psychiatric diagnostic categories also demonstrated statistical difference （F=913.120， 6.212， P<0.01）. Within young population， IST varied significantly based on the psychiatric diagnostic categories （F=2.986， P<0.05）. Correlation analysis indicated that IST was positively correlated with age， body weight， BMI and course of disease （r=0.886， 0.055， 0.184， 0.456， P<0.05 or 0.01）， and negatively correlated with height （r=-0.183， P<0.01）. Stepwise multivariate linear regression analysis revealed that age， gender， and body weight were influencing factors of IST （β=0.888， -0.049， -0.035， P<0.01）. ConclusionsAge， gender and body weight may be factors influencing IST in MECT for patients with mental disorders. ［Funded by Key R&D Plan Projects of Jining City in 2024 (number, 2024YXNS202）］

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

Purpose To establish a nomogram based on conventional ultrasound combined with contrast-enhanced ultrasound(CEUS)for predicting the probability of cervical central lymph node metastasis(CLNM)in clinical lymph node-negative(CN0)papillary thyroid carcinoma(PTC)patients.Materials and Methods A retrospective study was performed on 359 patients with single CN0 PTC,all of whom underwent thyroid surgery and prophylactic central compartment neck dissection in the First Affiliated Hospital of Shihezi University from September 2015 to March 2022.According to the postoperative pathological results,there were 116 cases with CLNM(+)and other 243 cases with CLNM(-).The indicators of gender,age,conventional ultrasound and CEUS were recorded,and multivariate stepwise Logistic regression was performed to screen out risk predictors to construct prediction models for CLNM in CN0 PTC.The receiver operating characteristic curves of prediction models were drawn,and the area under the curve(AUC)was further compared.The preferable prediction model was selected to establish the risk probability nomogram,and the prediction performance and clinical applicability of the nomogram model were assessed.Results Multivariate analysis showed that gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS were risk factors for CLNM in CN0 PTC(all P<0.05).The AUC of prediction model 1 including the above five indicators was 0.753,and the AUC of prediction model 2 excluding CEUS indicator was 0.704.There were statistically significant difference in AUCs between the two models(Z=2.473,P=0.013).Prediction model 1 was selected to construct a risk probability nomogram for predicting CLNM in CN0 PTC.The nomogram had a C-index of 0.753 and showed well consistency on the calibration curve.Clinical decision curve analysis indicated that the nomogram could achieve ideal net benefit when the threshold probability was between 10.7%to 81.5%.Conclusion Gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS may be the risk predictors for CLNM in CN0 PTC.The nomogram model based on the above indicators can predict the probability of CLNM effectively,and the CEUS indicators can substantially improve the prediction performance of the model.

Objective: To study the impact of sleep characteristics on myopia, among lower primary school students in Shanghai, so as to provide foundation for the prevention of the onset and development of myopia. Methods: A total of 636 students from the first and second grades of two primary schools in Jiading District, Shanghai, were selected through cluster random sampling for questionnaire surveys and ophthalmological examinations in October 2022. The Childrens Sleep Habits Questionnaire (CSHQ) was used to assess sleep quality at baseline. Ophthalmological examinations were conducted in October 2023(479), during which the students study time, screen time and outdoor activity time were monitored for twoweek, repeated twice. Generalized multivariable Logistic regression models and linear regression models were employed to examine the association between sleeprelated factors and myopia, as well as the strength of this association. Results: The baseline survey indicated a myopia prevalence of 18.58%, with 17.18% at followup. The average CSHQ total score was (51.58±4.44), and the average daily sleep duration was (9.43±4.84)h/d, with only 11.6% of participants meeting the recommended sleep sufficiency. Multivariable regression models indicated that insufficient sleep showed positive association with myopia (OR=1.64, 95%CI=1.05-2.56), while bedtime duration was significantly negative associated with myopia (OR=0.74, 95%CI=0.63-0.91, P＜0.05), adjusting for confounding factors. Inconsistency in bed rest time was a risk factor for myopia (OR=1.07, P<0.05), and the consistency of bed rest time, and wakeup time showed statistically significant correlations with SE (P<0.05). There was also statistically significant correlations between consistency in sleep time, bed rest time, and wakeup time with AL (P<0.05). Conclusions Insufficient sleep and bedtime duration are correlated with the onset and progression of myopia. It is critical to ensure sufficient sleep duration and regular sleep habits for children to reduce the occurrence of myopia in the primary school students.

ObjectiveUltra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS/MS） was used to investigate the metabolism and distribution of nardosinone in rats， then metabolic pathways were speculated. MethodRats were administered with 30 mg·kg^-1 of nardosinone suspension by gavage for 3 consecutive days， and plasma， urine， feces， and tissues of heart， liver， spleen， lung， kidney， brain， stomach， and intestine were collected at predetermined time points. After treatment， the samples were processed for UPLC-Q-Exactive Orbitrap MS/MS， and the MS data were analyzed using Xcalibur 2.2 software. The metabolites were searched by comparing the base peak chromatogram and extracted ion chromatogram between the treated group and blank group， and based on the relative retention time（t_R）， quasi-molecular ion peak， precise molecular mass， and fragment ions of MS/MS， the elemental composition were searched using databases such as SciFinder and PubChem， as well as referring to relevant literature， the possible metabolites were identified and the metabolic pathways were inferred. ResultA total of 30 metabolites of nardosinone were identified， including 15， 19， 12， 7， 4， 11， 8， 13， 13， 8 and 12 metabolites in urine， feces， plasma， brain， heart， liver， spleen， lung， kidney， stomach and intestine， respectively. The main metabolic pathways of nardosinone in rats were hydroxylation， dehydroxylation， reduction， dehydrogenation， hydration， dehydration， carboxylation， glucuronidation， and dehydroxy-isopropyl. ConclusionNardosinone can be metabolized by phase Ⅰ and phase Ⅱ metabolism in rats， and the metabolites are widely distributed in the major organs. The results of this study can provide a basis for further research on the pharmacodynamic material basis， pharmacological mechanism and clinical application of nardosinone.

Objective:To investigate dietary patterns of individuals aged ≥50 in Shanghai and analyze their association with frailty.Methods:Using data from the third wave of the Study on Global Ageing and Adult Health in Shanghai conducted between 2018 and 2019. We collected the frequency and average intake of food by the food frequency questionnaire. Factor analysis was used to extract dietary patterns, and a frailty index was constructed using the ratio of the cumulative total score of health deficits to 35 health-related variables considered. We used an ordinal multinomial logistic regression model to analyze the association between dietary patterns and frailty.Results:A total of 3 274 participants aged (67.9±9.2) years were included in the study, including 1 971 (60.2%) men and 1 303 (39.8%) women. We extracted four dietary patterns: high-protein-nuts pattern, potato-bean-vegetable-fruit pattern, poultry-meat pattern, and high-oil-salt pattern. After adjusting for confounding factors, the logistic regression analysis showed that compared with the high-oil-salt pattern, the high-protein-nuts pattern was negatively associated with the risk of higher frailty ( OR=0.743, 95% CI: 0.580-0.951). We did not find an association between dietary patterns and frailty between the different gender groups. In the age group 50-64, the high-protein-nuts and potato-bean-vegetable-fruit patterns were negatively correlated with a higher degree of frailty than the high-oil-salt pattern. In the low-level physical activity group, the high-protein-nuts pattern was negatively correlated with a higher degree of frailty than the high-oil-salt pattern ( OR=0.509, 95% CI: 0.361-0.720). However, we found no significant effect of the high-protein nuts pattern, potato-bean-vegetable-fruit pattern, and poultry-meat pattern on the risk of higher frailty compared to the high-oil-salt pattern in the moderate to high level of physical activity group. Conclusions:Compared to the high-oil-salt pattern, dietary patterns with a higher intake of high-protein nuts, potatoes, legumes, and fruits and vegetables might be associated with a lower risk of higher frailty in residents aged 50-64 years of age than with a high oil and salt pattern. At the same time, it may have a more significant protective effect in people with lower physical activity levels. It is suggested that a diet rich in high-protein foods, nuts, potatoes, beans, vegetables, and fruits may help reduce and delay the risk of frailty.

Objective:To understand the association between vitamin D level and grip strength in people aged ≥50 years in Shanghai.Methods:Data were obtained from the WHO's Study on Global Ageing and Adult Health in Shanghai during 2018-2019. Logistic regression model was used to analyze the association between vitamin D level and grip strength, and a stratified analysis was conducted for different gender, age and dairy product intake groups. Restricted cubic spline was used to evaluate the dose-response association between vitamin D level and low grip strength.Results:A total of 4 391 participants were included in the study, including 2 054 men (46.8%), with an average age of (67.02±8.81) years. And 1 421 individuals (32.4%) had low grip strength; 1 533 individuals (34.9%) had vitamin D deficiency, and 401 individuals (9.1%) had vitamin D deficiency. After adjusted for confounding factors, the logistic regression results analysis showed that individuals with vitamin D deficiency had a higher risk for low grip strength ( OR=1.41, 95% CI: 1.09-1.83). In men, after adjusting for confounding factors, vitamin D deficiency was positively associated with the risk for low grip strength ( OR=1.67, 95% CI: 1.12-2.50), but there was no significant association between vitamin D level and grip strength in women ( OR=1.30, 95% CI: 0.97-1.74). In age group 60-69 years and ≥80 years, there was significant association between vitamin D deficiency and low grip strength after adjusting for confounding factors ( OR=1.57, 95% CI: 1.05-2.35; OR=2.40, 95% CI: 1.08-5.31). In people who had daily intake of dairy product <250 ml, there was positive association between vitamin D deficiency and low grip strength, but there was no significant association in people who had daily dairy product ≥250 ml after adjusting for confounding factors. The restrictive cubic spline demonstrated that risk of low grip strength might decreased with the increase of vitamin D levels, however, the difference was not significant ( P>0.05). Conclusions:This study demonstrated that there is association between vitamin D level and grip strength. People with vitamin D deficiency have higher risk for low grip strength.

Purpose To explore the application value of clinical-ultrasound parameter model in secondary hyperparathyroidism(SHPT).Materials and Methods A total of 86 patients(134 lesions)with renal insufficiency who underwent maintenance hemodialysis in the First Affiliated Hospital of Shihezi University from October 2020 to August 2022 were included and divided into group 1 according to the level of parathyroid hormone(iPTH)(iPTH＜300 pg/ml),group 2(iPTH 300-800 pg/ml)and group 3(iPTH≥800 pg/ml),all patients underwent gray-scale parathyroid ultrasound and acoustic palpation tissue quantitative imaging examinations.The characteristics of glandular gray-scale ultrasound and virtual touch tissue imaging quantification parameters between different groups,combined with relevant clinical indicators,established a clinical-ultrasound parameter model,used multiple linear regression to analyze the correlation between the model and iPTH,explored the independent risk factors of iPTH,and evaluated this model to evaluate SHPT the value of.Results There were significant differences in dialysis age,phosphorus,alkaline phosphatase,serum creatinine,corrected calcium and phosphorus product,lesion size,number,echo,shear wave velocity(SWV)max,SWVcen,and SWVmean among the three groups(F/x2/H=6.396-53.524,all P＜0.05).Dialysis age,phosphorus,alkaline phosphatase,and SWVratio were independent influencing factors of iPTH level(β=0.514,0.422,0.226,-0.368,all P＜0.005).The area under the curve,sensitivity,specificity and accuracy of the model for diagnosing SHPT and predicting surgical treatment with iPTH levels of 300 pg/ml and 800 pg/ml were 0.967,95.00％,100.00％,97.73％and 0.824,77.42％,71.43％and 90.00％,respectively.Conclusion Dialysis age,phosphorus,alkaline phosphatase and SWVratio are independent influencing factors of iPTH level,and the clinical-ultrasound parameter model is of great value in accurately assessing the severity of SHPT.

Objective:To explore the research status of artificial intelligence in nursing in China, so as to provide reference for conducting research domestically.Methods:The relevant literature collected from January 1, 2003 to May 1, 2023 was searched on China National Knowledge Infrastructure, WanFang Data, and VIP. CiteSpace and VOS viewer were used to visually analyze the research status, hotspots, and frontiers of artificial intelligence in nursing in China from the aspects of annual publication volume, region, institution, author, high-frequency keywords, and emerging words.Results:A total of 494 articles were included. In terms of publication volume, domestic research showed an overall upward trend, with publishing institutions mostly concentrated in economically developed and medically advanced regions. The authors of the articles often collaborated with research groups, with a co-authorship rate of 81.17% (401/494), but there was relatively little collaboration between groups. Research hotspots were focused on the application of artificial intelligence in geriatric nursing, rehabilitation nursing, Operating Rooms, and drug formulation, with a majority of research related to robots.Conclusions:The research enthusiasm in related fields in China is currently on the rise. Research on artificial intelligence in nursing management, nursing education, and psychological nursing can be strengthened, and the application of artificial intelligence can be enriched. At the same time, research institutions and personnel should strengthen mutual cooperation, and relevant national departments should improve laws and regulations to promote the vigorous development of this research field.

ObjectiveTo analyze the effect of frailty status on the risk of mortality in a community-based population aged 45 years and above in Shanghai with different characteristics， and to provide further basis for population-based interventions for frailty and prevention of adverse outcomes. MethodsData were derived from baseline data from the Shanghai prospective study on AGEing and adult health （2009-2010） and cohort follow-up of causes of death up to October 30， 2021. Frailty index （FI） scores were constructed from 40 variables. Those with frailty index FI≥0.2 were judged to be in a frail state， and a multifactorial Cox regression model was used to calculate the hazard ratio （HR） to evaluate the effect of frailty status on the risk of death in different age groups by gender. Socioeconomic characteristics （age， residence， marital status， education and family economic level， etc.） and health-related behaviors （smoking， alcohol consumption， fruit and vegetable intake， social participation， etc.） were included as control variables. ResultsThe study included 7 978 subjects， 777 （9.7%） of whom were in a frail state. After （11.3±1.8） years of follow-up， 1 043 （13.1%） individuals were dead， including 214 （27.5%） who were frail. The results of the multifactorial Cox regression analysis showed that the effect of frailty on the risk of death in each subgroup was in descending order of men in the middle-aged group （45‒ years） （HR=2.92， 95%CI： 1.38-6.19）， women in the low-aged elderly group （60‒ years） （HR=1.68， 95% CI： 1.08-2.60）， and women in the old-aged elderly group （≥75 years and older） （HR=1.59， 95%CI： 1.22‒2.06）. ConclusionFrailty is associated with the risk of death， and we should focus on the frailty status of men aged 45~59 years and women aged 60 years and above. Early screening and assessment of frailty status and taking appropriate preventive interventions may reduce the occurrence of adverse outcomes and premature death.