ObjectiveTo analyze the trend and influencing factors of low birth weight (LBW) among newborns in Chongming District of Shanghai from 2008 to 2022, so as to provide references for the development of intervention measures reducing the rate of LBW. MethodsBirth surveillance data of Chongming District of Shanghai from 2008 to 2022 were collected and organized, and the annual percentage change (APC) of LBW was calculated by using Joinpoint 5.0.2 software for trend change analysis. Logistic regression analysis was used to analyze the influencing factors of LBW. ResultsThe overall incidence of LBW was 3.71% in Chongming District, Shanghai from 2008 to 2022. Joinpoint trend analysis showed that the incidence of LBW in Chongming District had an upward trend (APC=5.49%, 95%CI: 3.31%‒7.72%, P<0.001).Multivariate logistic regression analysis showed that preterm birth, multiple births, female infants, birth defects, first pregnancy, primiparity, and a young father age (<20 years) were risk factors for LBW in Chongming District. Among the term infants, female infants, birth defects, and first pregnancy were risk factors for LBW (P<0.05). Female infants, birth defects, first pregnancy, primiparity, advanced maternal age (≥35 years), and a young father age (<20 years) were risk factors in singleton neonates. ConclusionThe incidence of LBW among newborns is on the rise in Chongming District of Shanghai. Therefore, high risk groups need to be identified, and prenatal check-ups and pregnancy care should be strengthened to reduce the risk of neonatal LBW.

Ferroptosis of chondrocytes is a significant contributor to osteoarthritis (OA), for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis. Here, we screen for anti-ferroptotic drugs in Food and Drug Administration (FDA)-approved drug library via a high-throughput manner in chondrocytes. We identified a group of FDA-approved anti-ferroptotic drugs, among which vitamin K showed the most powerful protective effect. Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix (ECM) degradation in chondrocytes. Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus (DMM) mouse model. Mechanistically, transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6 (Gas6). Furthermore, exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase (AXL)/phosphatidylinositol 3-kinase (PI3K)/AKT serine/threonine kinase (AKT) axis. Together, we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis, indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.

Objective:To analyze the factors influencing the theoretical score of graduation examination of standardized residency training in a class-A tertiary general hospital in Shanghai from 2018 to 2021, and establish prediction models, and to provide a reference for further improving the quality of residency training.Methods:We collected the data of 556 residents who participated in the residency training graduation examination at the hospital from 2018 to 2021. Binary regression and logistic regression analyses were used to determine the association of residents' basic information, their routine assessment results at the bases, and the base performance assessment score (indicating the bases' training quality) with theoretical graduation examination results; and prediction models for the theoretical graduation examination score were established, using binary regression and logistic regression methods to construct model datasets. SPSS 26.0 was used for statistical analysis.Results:From 2018 to 2021, a total of 556 people participated in the residency training graduation examination at the hospital. The first-time pass rate of the first station theoretical examination station was 97.48% (542/556). Trainees graduating from double first-class schools had the highest first-time pass rate of 98.09% (359/366); doctoral students had the highest first-time pass rate of 98.59% (140/142); and residents of the two-year training program had the highest first-time pass rate of 98.34% (297/302). According to the binary regression analysis of categorical variables such as residents' basic information, the base level was associated with whether residents passed the theoretical examination ( P<0.05). According to the logistic regression analysis of residents' routine assessment scores and the base performance assessment score, the annual theoretical assessment score, the first-time theoretical score of the national medical licensing examination, the annual professional performance test score, and the base performance assessment score were key factors affecting the theoretical graduation examination score ( P<0.05). In the regression analysis associated with the theoretical graduation examination score, the annual professional performance test score showed the highest regression coefficient and the highest variance inflation factor, indicating strong multicollinearity. Therefore, the annual professional performance test score was important in predicting the theoretical score of the graduation examination. Conclusions:This study used binary regression and logistic regression models to analyze the possible factors affecting the theoretical graduation examination score and the degree of association, and also established two prediction models of the theoretical graduation examination score to predict trainees at risk. Through implementing the concept of hierarchical progression, adding personalized tutoring, realizing information management for residency training, and providing intelligent early intervention, the pass rate of residency training graduation examination is expected to be further improved, ultimately achieving the purpose of improving the quality of residency training.

Objective:To analyze the clinical characteristics of eosinophilic lung diseases(ELD) in children to enhance pediatricians′ understanding of ELD.Methods:In this retrospective cross-sectional study, a total of 149 children with ELD were recruited from Beijing Children′s Hospital, Capital Medical University between April 1, 2007 and March 31, 2022.Chi-square test, Fisher′s exact test, Mann-Whitney U test and Kruskal-Wallis test were used to analyze data and conclude clinical characteristics.Spearman correlation was used to analyze the correlation between eosinophils in peripheral blood and bronchoalveolar lavage fluid.Chi-square test and Kappa consistency test were used to compare the differences and consistency in diagnostic results between bronchoalveolar lavage fluid or lung biopsy and eosinophil elevation with chest imaging abnormalities. Results:(1)The isolated lung involvement was mostly caused by allergic bronchopulmonary aspergillosis(9 patients), and other system involvement by idiopathic hypereosinophilic syndrome(89 patients).(2)The main respiratory manifestations included coughing(90 cases, 60.4%) and expectoration(41 cases, 27.5%), while 23.5%(35 cases) of patients had no respiratory symptoms; 50.3% had digestive system involvement, and 40.9% had skin involvement.These were the two most commonly affected organs.(3)Spearman correlation was performed between eosinophils in peripheral blood and bronchoalveolar lavage fluid( r=0.3, P<0.05).Chi-square test was performed to compare ELD diagnosed by bronchoalveolar lavage fluid or lung biopsy with peripheral blood eosinophilia accompanied by abnormal chest imaging( P<0.05).Kappa consistency test(Kappa<0.2) showed poor consistency between the two diagnostic methods. Conclusions:ELD are present in children, and multiple etiologies may be pathogenic.Among children with ELD, the isolated lung involvement is mainly caused by allergic bronchopulmonary aspergillosis.The digestive system and skin are the most commonly affected organs, except for lungs.The correlation between eosinophil levels in peripheral blood and bronchoalveolar lavage fluid is poor.

Objective:To investigate the value of multi-parameter MRI habitat imaging in differentiating human epidermal growth factor receptor 2 (HER2) expression in breast cancer.Methods:This study was cross-sectional. A retrospective analysis was conducted on the clinical and imaging data of 86 cases of primary invasive breast cancer confirmed by pathology at the Second Affiliated Hospital of Shantou University from August 2018 to July 2023. All patients were female, aged 33 to 74 (51±10) years. All patients underwent breast MRI examinations, including T 1WI, T 2WI, diffusion-weighted imaging and dynamic contrast-enhanced MRI. The fuzzy C-means clustering algorithm was applied to cluster analysis of the volume ratio of the extracellular extravascular space (V e), the rate constant (K ep), the volume transfer constant (K trans), and the apparent diffusion coefficient (ADC) for all lesions. Different habitat subregions were segmented based on breast cancer. Blood perfusion of the lesion was quantified through mean values of K trans and K ep, and cell proliferation was evaluated by the mean values of ADC and V e in each subregion. Additionally, the percentage of each subregion′s volume in relation to the total lesion volume was calculated. The Mann-Whitney U test was used to compare the differences in the volume percentages of various habitat subregions between different HER2 expression status. The diagnostic performance of statistically significant parameters in determining HER2 status was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:Among the 86 patients with invasive breast cancer, 27 were HER2 positive and 59 were HER2 negative. Among the HER2 negative patients, 37 had low and 22 had zero HER2 expression. The volume percentages of habitat subregions 1, 2, and 3 showed statistically significant differences between HER2 positive and HER2 negative patients ( Z=2.90, P=0.004; Z=-2.04, P=0.042; Z=-2.19, P=0.029), with AUC values of 0.696, 0.638, and 0.648, respectively, for predicting HER2 positive expression. The volume percentage of habitat subregion 2 showed a statistically significant difference between low and zero HER2 expression patients ( Z=2.85, P=0.004), with an AUC value of 0.724 for predicting low versus zero HER2 expression. Conclusions:The volume percentage of habitat subregion 1 effectively distinguishes HER2 status, and the volume percentage of habitat subregion 2 effectively distinguishes between low and zero HER2 expression patients. It has significant clinical implications for identifying potential candidates for HER2-targeted therapy.

Skin modeling of transdermal drug delivery system refers to experimental models that mimic the structure and function of human skin to explore and evaluate absorption,penetration,and efficacy of medicines in transdermal drug delivery.It provides an alternative to traditional human skin experiments and reduces the use of human skin in medical research,which is convenient,controllable,and cost effective.For skin models of transdermal drug delivery systems,this article introduces commonly used animal skin models,artificial skin models,and recombinant human skin models from the perspective of the transdermal absorption pathway of medicines,and analyzes their advantages,disadvantages,and applications so provide references the research and development of transdermal formulations and topical therapies.

ObjectiveTo investigate the status, characteristics of population distribution and trends of chronic obstructive pulmonary disease (COPD) deaths among the registered residents in Chongming District, Shanghai from 2002 to 2022, and to provide a scientific basis for precise prevention and control of COPD. MethodsCOPD death data were obtained from the Shanghai Chongming District Death Surveillance System, and indicators such as crude mortality rate, standardized mortality rate, mortality rate by age group, and probability of premature death were calculated for the registered residents with COPD. Joinpoint 5.0.2 software was adopted to analyze the annual percent change (APC) and average annual percent change (AAPC), followed by an analysis of trend changes. ResultsFrom 2002 to 2022, the average annual crude mortality rate and average annual standardized mortality rate of COPD among the residents of Chongming District were 73.49/100 000 and 34.00/100 000, respectively, and both were higher in males than those in females. The crude mortality rate of COPD among the residents aged ≤69 years in Chongming District was 6.78/100 000, followed by 218.28/100 000 in the age group of ≥70 years and 1 042.77/100 000 in the age group of ≥80 years, respectively. The standardized mortality rates for the whole population (AAPC=-9.75%), males (AAPC=-9.06%) , and females (AAPC=-12.25%) all showed a downward trend (all P<0.001). In addition, there was a decreasing trend in the crude mortality rates for the residents aged ≤69 years (AAPC=-7.51%), aged ≥70 years (AAPC=-9.89%), and aged ≥80 years (AAPC=-8.85%) (all P<0.001). Furthermore, the probability of premature death of COPD decreased from 1.45% in 2002 to 0.08% in 2022. ConclusionThe mortality rate and probability of early premature death of COPD among the registered residents in Chongming District, Shanghai from 2002 to 2022 show a downward trend, and the mortality rate of declining in males is slower than that in females. The elderly with advanced age account for the highest number of deaths. Therefore, targeted intervention measures should be taken for key groups to reduce the mortality rate of COPD.

The dual-core system is an innovative concept in the development of narrative therapy in China,that is,the client has the inner state of the original model and the developmental model at the same time.This paper constructs the concept of a dual-core system,which relocates the relationship between problems and resources,em-phasizes the experience of problems,and assists counselors in locating the"nearest development area"of clients.It makes the client's problems and healing both opposed and unified,forming a dynamic,binary self-identity system that ultimately empowers the client's life.

Objective To establish the energy expenditure(EE)prediction models of health Qigong Wuqinxi based on heart rate combined with accelerometer counts in different body parts,so to provide a reference for monitoring EE of Wuqinxi.Methods Seventy-four healthy college students aged 18-30 were selected as the research objects.They were divided into a skilled group of 39(21 males and 18 females)and a primary group of 35(17 males and 18 females)according to their level of practice,with 55 in the model group and 19 in the validation group.When performing a set of Wuqinxi,all subjects were recorded heart rate(HR),accelerometer counts[the average counts of X-axis,Y-axis,Z-axis and vector magnitude(VM)],and EE-related indicators by wearing the Polar heart rate moni-tor,ActiGraph-GT3X+accelerometers(9 parts:waist,both arms,both wrists,both thighs,and both ankles)and CORTEX Meta Max3B-R2 portable indirect calorimeter.Based on the accurate EE mea-sured by the gas metabolism meter,linear regression models of only HR,only accelerometer counts,or HR combined accelerometer counts were established,and their accuracy was analyzed and com-pared.Results The EE of Wuqinxi was significantly correlated with gender,height,weight,muscle mass,HR-related indicators,and accelerometer counts in different parts(X-axis counts of the waist,VM values of the left thigh and counts of the X-axis and Y-axis,VM values of the right thigh and the Y-axis,Z-axis count value,left ankle VM value and Y-axis count value,right ankle VM value and Y-axis,Z-axis count value)(P<0.05).Moreover,the adjusted R2 of the prediction model of only HR,only accelerometer counts,and the both were 0.582,0.508 and 0.678,respectively(P<0.05).The correlation between the predicted and measured values ranged between 0.706 and 0.817.Accord-ing to the Bland-Altman analysis,for each model,all except one error value fell outside the 95%confidence interval.That is,all models had an excellent fitting effect and high accuracy.Among them,the combined model was of the best prediction effect:EE(kcal)=-20.089+0.279×body weight(kg)+0.243×ΔHR(exercise HR-quiet HR,bpm)+0.001×Right thigh Y-axis count value+0.181×exer-cise HR(bpm)-4.202×gender(male=0,female=1).Conclusion The EE prediction model of Wuqinxi es-tablished on HR combined with accelerometer counts has the best effect and can calculate the EE more accurately.

Background: and Purpose Performing the differential diagnosis of Parkinson’s disease (PD) and multiple-system atrophy of parkinsonian type (MSA-P) is challenging. The oculomotor performances of patients with PD and MSA-P were investigated to explore their potential role as a biomarker for this differentiation. Methods: Reflexive saccades and smooth pursuit were examined in 56 patients with PD and 34 with MSA-P in the off-medication state. Results: Patients with PD and MSA-P had similar oculomotor abnormalities of prolonged and hypometric reflexive saccades. The incidence rates of decreased reflexive saccadic velocity and saccadic smooth pursuit were significantly higher in MSA-P than in PD (p<0.05 for both). Multiple logistic regression analysis indicated that slowed reflexive saccades (odds ratio [OR]=8.14, 95% confidence interval [CI]=1.45–45.5) and saccadic smooth pursuit (OR=5.27, 95% CI=1.24–22.43) were significantly related to MSA-P. Conclusions The distinctive oculomotor abnormalities of saccadic smooth pursuit and slowed reflexive saccades in MSA-P may serve as useful biomarkers for discriminating MSA-P from PD.