Abstract Adverse childhood experiences (ACEs) exposure is a pressing and severe global public health issue. Children and adolescents exposed to multiple ACEs are highly susceptible to toxic stress and impaired physiological functioning, which significantly jeopardize their physical and mental health. Effective prevention and intervention strategies can reduce the prevalence of ACEs and mitigate their severe impacts, thereby minimizing the long term detrimental consequences on future outcomes. The review provides a comprehensive review of intervention strategies across four dimensions: individual, family, school, and public services/policy, so as to establish a theoretical foundation for implementing effective interventions for children and adolescents exposed to adverse childhood experiences.

Objective To investigate the therapeutic mechanism of Dingkun Dan(DKD)in polycystic ovary syndrome(PCOS)by examining the effects of microRNA-30d-5p on ovarian granulosa cells(GCs).Methods A PCOS rat model was established using dehydroepiandrosterone(DHEA).Normal rat GCs and PCOS rat GCs were cultured in vitro and divided into four groups:blank control group,model group,low-dose DKD group,and high-dose DKD group.After grouping,GCs viability was assessed using the methyl thiazolyl tetrazolium(MTT)assay,GCs apoptosis was analyzed by flow cytometry,and the gene expression of transforming growth factor β1(TGF-β1),Smad2,Smad3,and microRNA-30d-5p in GCs was measured by real-time polymerase chain reaction(RT-PCR),protein expression of TGF-β1,Smad2,and Smad3 in GCs was detected by Western Blot.Results Compared with the blank control group,the model group exhibited significantly decreased GCs viability,increased GCs apoptosis,upregulated mRNA and protein expression of TGF-β1,Smad2,and Smad3,and downregulated microRNA-30d-5p expression,the differences were statistically significant(P＜0.01).Compared with the model group,both low-and high-dose DKD groups showed increased GCs viability,reduced GCs apoptosis,downregulated mRNA and protein levels of TGF-β1 Smad2 and Smad3,elevated microRNA-30d-5p expression,and the differences were statistically significant(P＜0.05 or P＜0.01).Conclusion DKD promotes GCs proliferation by targeting Smad2 via microRNA-30d-5p,suggesting a potential therapeutic role in PCOS-related ovulatory dysfunction.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Objective:To evaluate the clinical efficacy, safety and treatment persistence of upadacitinib in Crohn's disease (CD) patients.Methods:The single-center retrospective cohort study was conducted. The patients with moderate-to-severe active CD initiating upadacitinib therapy from November 2023 to November 2024 in Nanjing Drum Tower Hospital were collected through searching the electronic medical records and paper-based patient databases. The primary outcome was the clinical remission rate at week 12. Secondary outcomes included the clinical response rate at week 12; clinical response and remission rates at weeks 4, 24 and 48; biomarker (fecal calprotectin or C-reactive protein) remission rates at all time points; as well as endoscopic remission and response rates, treatment persistence and safety evaluation.Results:A total of 44 CD patients were included, comprising 24 males (54.5%) and 20 females (45.5%). The median age was 33 (25, 40) years. The baseline Crohn's disease activity index (CDAI) score was 260.5 (225.9, 550.0) points. Patients had previously received a median of 2 (1, 2) biologic treatments. All 44 patients completed the 12-week induction therapy. With a median follow-up of 30.00 (16.25, 46.25) weeks, the clinical remission rate was 50.0% (22/44) at week 12. The clinical remission rate, clinical response rate, and biomarker remission rate were 52.3% (23/44), 88.6% (39/44) and 72.7% (32/44) respectively at week 4, and the clinical response rate and biomarker remission rate were 88.6% (39/44) and 77.2% (34/44) respectively at week 12. The clinical remission rates, clinical response rates and biomarker remission rates evolved to 43.3% (13/30), 86.7% (26/30) and 80.0% (24/30) at week 24, and further to 44.4% (4/9), 77.8% (7/9) and 77.8% (7/9) at week 48. During the follow-up period, 13 CD patients completing endoscopic evaluation, endoscopic remission and response rates were 30.8% and 23.1% respectively. CD-related surgery rate was 4.5% (2/44). Safety analysis demonstrated that the overall adverse events rate was 56.8% (25/44) including 7 patients with serious adverse events. A total of 8 patients discontinued treatment, among which 3 were due to primary loss of response, 1 due to secondary loss of response, 2 due to drug-related adverse events alone, and 2 due to concurrent primary loss of response and adverse events. The Kaplan-Meier curve for treatment persistence showed that among 39 CD patients who achieved clinical response at week 12, the continued treatment rates were 90.3% at week 12 and 85.3% at week 24 of follow-up. Two patients (5.6%) received dose escalation of upadacitinib, both of whom achieved clinical remission.Conclusion:Real-world research data demonstrate that upadacitinib exhibits significant clinical efficacy and a favorable safety profile in the treatment of moderate-to-severe active CD patients with prior biologic exposure, and no new unexpected adverse events are identified.

Objective:The study investigated the full-time Clinical Research Coordinators (CRCs) working in hospitals on their current working situation and explored affecting factors to provide suggestions for a professional and systemic clinical research workforce establishment in municipal medical institutions.Methods:A questionnaire survey was designed for CRCs in municipal hospitals in Shanghai, descriptive and one-way cross-tabulation analysis were conducted, using t-test for continuous numerical variables, rank-sum test for count variables and chi-square test for categorical variables.Results:Totaling 177 CRCs in 9 municipal hospitals in Shanghai answered the questionnaire. The average age of the respondents was 28.56±7.299 years old. Their professional background was mainly nursing and pharmacy (139/177, 87.53%), and bachelor degree (114/177, 64.41%). Averagely worked 2.50±1.632 years, the average number of research projects undertaken by CRC was 3.45±2.179, and the average number of cumulative projects involved was 8.72±9.341. The CRCs employed by hospitals mainly undertook Investigator-Initiated clinical Trial/Research projects (IITs) (26/36, 72.22%), while the CRCs employed by SMO companies mainly undertook Industry-Sponsored Clinical Trial (IST) projects (96/141, 68.09%). 85.88% (152/117) of CRCs held GCP certificates valid within three years, and the proportion of CRCs employed by hospitals held GCP certificates was lower than that of SMO companies ( P<0.05). Among the CRCs employed by hospitals, 23 (63.89%) said they had no position or were not clear about their position; The CRCs in SMO companies were mainly primary and intermediate (χ 2=84.119, P<0.05). The average number of research projects undertaken by CRC was 3.45±2.179, and the average number of cumulative projects involved was 8.72±9.341. Conclusions:With the development of clinical research, the full-time specialized CRCs in medical institutions mainly have 2 sources: from SMO/CRO companies or self-employment by medical institutions. In general, there are still problems in the CRC talent team as unclear entry standards, insufficient, lack career positioning planning, large mobility, imperfect training system, and imperfect promotion mechanism. It is suggested to unify occupational access standards and set specialty in colleges or universities. Strengthen post-service education and training system, establish multi-party collaborative training mechanism, standardize the assessment and evaluation, improve the job title promotion system, to promote the rapid development of CRC team.

Objective:To explore the influencing factors for skin pruritus and to construct a nomogram prediction model in peritoneal dialysis (PD) patients.Methods:It was a retrospective cross-sectional investigation study. The PD patients who were regularly followed up between July, 2023 and April, 2024 in PD center of the First Affiliated Hospital of Sun Yat-sen University were enrolled in this study. The pruritus status was evaluated by the 14-Item UP-Dial Scale. The general demographic data and clinical data were collected. The patients were divided into pruritus group and non-pruritus group according to the presence or absence of skin itching. The differences of clinical data and laboratory results were compared between the two groups. Logistic regression was used to analyze the associated factors for pruritus in PD patients. The nomogram model was constructed by R software. The receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow goodness-of-fit test were used to evaluate the performance of the model, and its clinical effectiveness was evaluated using the calibration curve.Results:A total of 315 PD patients were enrolled in this study, with age of (48.0±12.9) years, including 134 females (42.5%). Among them, 161 patients (51.1%) experienced skin pruritus. Of whom, 111 patients (68.9%) had mild pruritus, 34 patients (21.1%) had moderate pruritus, 16 patients (9.9%) had severe pruritus. The age ( t=-2.266, P=0.024), proportion of diabetes mellitus ( χ2=3.910, P=0.048), Charson comorbidity index ( Z=-2.458, P=0.014), blood eosinophil percentage ( Z=-2.385, P=0.017), C-reactive protein ( Z=-2.590, P=0.010), serum phosphorus ( Z=-3.233, P=0.001) and β2 microglobulin ( Z=-2.756, P=0.006) level in the pruritus group were higher than those in the non-pruritus group, and the measured glomerular filtration rate (mGFR) level ( Z=-3.708, P<0.001) of patients in the pruritus group was lower than that in the non-pruritus group. There were 262 patients in the training set and 53 patients in the validation set. The multivariate logistic regression analysis in the training set revealed that advanced age ( OR=1.032, 95% CI 1.010-1.054, P=0.004), lower mGFR ( OR=0.758, 95% CI 0.648-0.886, P<0.001), higher serum phosphorus ( OR=2.761, 95% CI 1.282-6.024, P=0.010), and elevated blood eosinophil percentage ( OR=1.098, 95% CI 1.012-1.191, P=0.025) were independent factors associated with pruritus in PD patients. The nomogram model constructed based on these indicators demonstrated good discrimination and calibration. In the training set, the area under the ROC curve ( AUC) was 0.757 (95% CI 0.699-0.816), with Hosmer-Lemeshow test χ2=4.979, P=0.760. In the validation set, the AUC was 0.779 (95% CI 0.651-0.907), and Hosmer-Lemeshow test χ2=12.938, P=0.114. Conclusions:The prevalence of skin pruritus is 51.1% in PD patient. Advanced age, lower mGFR, higher serum phosphorus and higher blood eosinophil percentage are the independent influencing factors for pruritus in PD patients. The nomogram model constructed based on these indicators shows excellent predictive performance for skin pruritus in PD patients.

The nursing experience of buttonhole cannulation for an autogenous arteriovenous fistula with an Eluvia drug-eluting stent in a patient undergoing maintenance hemodialysis was summarized.Key nursing points included:developing a scientific and rational buttonhole cannulation plan for the autogenous arteriovenous fistula stent based on its characteristics post-stent implantation;conducting preoperative ultrasonic evaluations of the arteriovenous fistula and stent;establishing and maintaining a buttonhole tunnel at the stent site;regularly monitoring and following up on the cannulation site and the condition of the autogenous arteriovenous fistula;strengthening the observation and prevention of potential complications.Through rigorous and standardized assessments,procedures,and nursing care,the patient maintained good autogenous arteriovenous fistula function without stent-related complications such as fracture,stenosis,or infection over a 14-month follow-up period.

OBJECTIVE To explore the isolation rates,drug resistance and molecular epidemiological characteristics of carbapenem-resistant gram-negative bacilli(CRGNB)isolated from intensive care units(ICU)of a tertiary hos-pital so as to provide bases for prevention and control of the nosocomial infections caused by CRGNB.METHODS The environmental surfaces that were high frequently contacted by the patients with CRGNB infections[carbapen-em-resistant Klebsiella pneumoniae(CRKP),carbapenem-resistant Acinetobacter baumannii(CRAB),carbap-enem-resistant Pseudomonas aeruginosa(CRPA)]and their hands were randomly sampled from the ICU of a ter-tiary three-A hospital from Apr.2024 to Aug.2024.Multilocus sequence typing(MLST)and detection of drug re-sistance genes were performed by means of complete genome sequencing technique and bioinformatics,and the ho-mology between the CRGNB strains isolated from the patients and the strains isolated from their surrounding was observed.RESULTS Totally 30(7.85％)strains of CRGNB were isolated,23(6.02％)of which were CRKP,7(1.83％)were CRAB,and no strain of CRPA was detected.The molecular subtyping showed that ST 11(93.33％)was dominant among the CRKP strains,and ST2(69.23％)was dominant among the CRAB strains.The phylogenetic analysis indicated that there were clonal transmission tendencies of CRKP-ST11 and CRAB-ST2.The analysis of drug resistance genes showed that the CRAB strains mainly carried ant(3")-lla(100％),blaOXA-23(92.31％)and amvA(92.31％);blaOXA-23 and blaOXA-66 were the major carbapenems resistance genes;the CRKP strains mainly carried the drug resistance genes emrDh,rmtB1,fosA and kdeA(all were 96.67％),followed by the carbapenems resistance gene blaKPC-2(90.00％).CONCLUSIONS ST11 is the predomi-nant molecular subtype for CRGNB among the CRKP strains isolated from the ICU,anf ST2 predominant among the CRAB strains;the carrying rates of drug resistance genes are high.There is risk of clonal transmission.It is necessary to strengthen the monitoring and take comprehensive infection control measures so as to reduce the incidence of nosocomial infections.

Objective:To establish a practical patient-based internal quality control method for valproic acid drug concentration monitoring.Methods:Observational Study. A PBRTQC model based on the exponentially weighted moving average (EWMA) method was established using Python. All results of a total of 28, 757 valproic acid concentration data from February 1, 2023 to January 31, 2024 were collected and split into training set and validation set at a ratio of 80% and 20% respectively. The truncation limit (TL) was optimized by using the winsorized mean method and the trimmed mean method. Different weighting coefficients λ were set. Different TL and different λ were combined with the EWMA algorithm into different patient-based real-time quality control (PBRTQC) models. The optimized models were verified by introducing simulated constant errors (CE) and proportional errors (PE) respectively. The false positive alarm rate (FAR) was used to evaluate specificity, and the average number of patients before error detection (ANPed) was used to evaluate sensitivity. According to the daily test volume and quality target requirements, we comprehensively judged whether the performance evaluation indicators of FAR and ANPed meet the laboratory requirements. Bias detection curve was used for determination of the best model.Results:The parameters of the best PBRTQC model for valproic acid drug concentration monitoring are: trimmed mean method with 1.5 standard deviations (i.e., truncating data outside 1.5 standard deviations of the data mean), λ=0.01. The performance verification result shows that ANPed of CE and PE of this model are both less than 100. The comparison between the EQA results and the EWMA results show that the EWMA method results are comparable to the EQA results.Conclusion:A PBRTQC model for the valproic acid drug concentration monitoring project based on the EWMA method has been successfully established. It is comparable with both IQC and EQA results, which means PBRTQC may be used as a supplement to the quality control of daily quality control products.