Objective: To explore the relationship between socio ecological risk factors (SERF), physical activity (PA) developmental trajectories, and depressive symptoms among junior and senior high school students in Tianjin, in order to provide theoretical support for comprehensive interventions for adolescent depression. Methods: A longitudinal follow up design was adopted. In September 2022, a baseline survey was conducted using a stratified cluster random sampling method in two junior high schools and two senior high schools in Tianjin, collecting data on students basic information, SERF, PA, and depressive symptoms. Two follow up surveys were conducted in September 2023 and 2024, yielding 588 valid participants. Latent class growth analysis (LCGA) was used to identify PA developmental trajectory categories among junior and senior high school students. Logistic regression was applied to examine the associations between depressive symptoms and SERF as well as PA trajectories. Results: The detection rates of depressive symptoms among Tianjin junior and senior high school students over the three years were 26.53%, 20.24%, and 21.26 %, respectively. Depressive symptoms were positively correlated with SERF ( OR=1.04, 95%CI=1.03-1.05, P <0.05). The highest risks were observed in the individual dimension and family dimension ( OR =1.28, 1.21, both P <0.05). LCGA identified three PA trajectory groups:persistently low level (80.65%), persistently high level (4.58%), and slowly increasing group ( 14.77 %). Multivariate regression analysis showed that compared with the persistently low level PA, the slowly increasing PA significantly reduced the risk of depressive symptoms ( OR=0.44, 95%CI =0.20-0.88), while SERF still increased the risk of depressive symptoms ( OR=1.04, 95%CI =1.03-1.05) (both P <0.05). Conclusion SERF are risk factors for depression symptoms among junior and senior high school students, whereas slowly increasing PA development trajectory demonstrates a protective effect.

Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.

Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P＜0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.

Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.

Objective:To analyze the current situation and potential profile of self-disgust in peritoneal dialysis patients and explore the influencing factors of different categories of hemodialysis patients.Methods:Using convenient sampling method, 466 patients with peritoneal dialysis from 3 tertiary hospitals of Cangzhou People′s Hospital, Cangzhou Integrated Traditional Chinese and Western Medicine Hospital, Cangzhou Central Hospital were selected as the survey object from April to June 2023. A cross-sectional survey was conducted using the general data questionnaire, Questionnaire for the Assessment of Self-Disgust, Social Avoidance and Distress Scale and Perceived Social Support Scale. The potential profile of self-disgust in peritoneal dialysis patients was analyzed, and the influencing factors of different potential categories were analyzed by multiple Logistic regression.Results:Finally, 458 patients were included, with 283 males and 175 females, aged (48.68 ± 13.85) years old. The Questionnaire for the Assessment of Self-Disgust was scored (38.24 ± 5.25) points, the Social Avoidance and Distress Scale was scored (22.32 ± 3.78) points, the Perceived Social Support Scale was scored (53.59 ± 8.64) points in peritoneal dialysis patients. The level of self-disgust in peritoneal dialysis patients could be divided into 3 sections: self-pity (28.38%, 130/458), self-reflection (52.18%, 239/458) and self-acceptance (19.44%, 89/458). The results of multiple Logistic regression analysis showed that age, number of comorbidities, dialysis age, Social Avoidance and Distress Scale and Perceived Social Support Scale scores were the influencing factors of self-disgust in peritoneal dialysis patients ( OR values were 0.804-2.019, all P<0.05). Conclusions:The self-disgust in peritoneal dialysis patients was at a high level and somewhat heterogeneous. Clinical workers should focus on self-pity and self-reflective peritoneal dialysis patients, and provide targeted interventions to reduce the level of patient self-disgust according to the influencing factors of different potential categories of patients.

OBJECTIVE To observe the effect of acupuncture combined with a modified Zhengan Xifeng Decoction on the early clinical symptoms and oxidative stress status of patients with hypertensive intracerebral hemorrhage(HICH)of liver-kidney yin defi-ciency syndrome.METHODS A total of 60 patients with hypertensive intracerebral hemorrhage(liver-kidney yin deficiency syn-drome)who successfully received 24-hour acute-phase treatment at the Department of Neurosurgery,Acupuncture and Rehabilitation Department,and wards of Kunshan Hospital Affiliated to Nanjing University of Chinese Medicine(Kunshan Traditional Chinese Medi-cine Hospital)from July 2021 to January 2023 were recruited.A randomization table generated by SPSS 22.0 software was used to di-vide the patients into a control group and an observation group,with 30 patients in each group.The control group received symptomatic treatment,conventional rehabilitation training,and modified Zhengan Xifeng Decoction,while the observation group received additional acupuncture treatment on the basis of the control group.The treatment course was 1 month for both groups.Clinical effective rate,TCM syndrome scores,motor and neurological function scores[Activity of Daily Living(ADL)scale,National Institutes of Health Stroke Scale(NIHSS),Modified Ashworth Scale(MAS),Simplified Fugl-Meyer Assessment(FMA)scale],improvement in hematoma lesions,Fraction anisotropy(FA)ratio(rFA),and serum levels of antioxidant stress response factors Kelch-like ECH-associated protein 1(Keap1)and nuclear factor-E2-related factor 2(Nrf2)were observed before and after treatment in both groups.RESULTS After treat-ment,the clinical effective rate in the observation group was significantly higher than that in the control group(P<0.05);the TCM syn-drome scores in both groups decreased significantly(P<0.05),with the observation group showing better results than the control group(P<0.05);the ADL and FMA scores in both groups reduced significantly(P<0.05,P<0.01),while the NIHSS and Ashworth Scale scores increased significantly(P<0.05,P<0.01),with the observation group showing better improvement than the control group(P<0.05);serum Keap1 levels decreased significantly in both groups(P<0.01),while Nrf2 levels enhanced significantly(P<0.05,P<0.01),with the observation group showing better improvement than the control group(P<0.05);imaging studies showed that after treat-ment,the residual hematoma volume decreased significantly in both groups(P<0.05,P<0.01),and the rFA value increased signifi-cantly(P<0.05,P<0.01),with the observation group showing better results than the control group(P<0.01).CONCLUSION On the basis of standard treatment for the acute phase,acupuncture combined with Zhengan Xifeng Decoction can significantly improve the early clinical symptoms of HICH patients with liver-kidney yin deficiency,reduce oxidative stress levels,and promote the recovery of nerve and motor functions.

Purpose To investigate the independent risk factors for early recurrence of solitary hepatocellular carcinoma after radiofrequency ablation based on gadoxetic acid disodium(Gd-EOB-DTPA)-enhanced MRI combined with clinical features.Materials and Methods Clinical and imaging data of hepatocellular carcinoma patients who underwent radiofrequency ablation at the First Affiliated Hospital of Henan University of Chinese Medicine from January 2019 to June 2022 were retrospectively collected.All patients underwent preoperative Gd-EOB-DTPA-enhanced MRI and were followed up for up to two years post-surgery.Univariate and multivariate Cox proportional hazards regression were performed to identify independent risk factors for recurrence after radiofrequency ablation.Results A total of 58 patients were finally included,including early recurrence group(n=22)and non-early recurrence group(n=36).Multivariate Cox regression analysis revealed that preoperative alpha-fetoprotein(AFP)levels(HR=1.103,95%CI 1.008-1.206,P=0.033),arterial-phase irregular margin enhancement(HR=4.647,95%CI 1.527-14.110,P=0.007),peritumoral arterial-phase enhancement(HR=11.575,95%CI 3.575-37.478,P=0.001)and peritumoral hepatobiliary phase hypointensity(HR=5.058,95%CI 1.129-22.668,P=0.034)were independent risk factors for early recurrence.The area under the curve for AFP combined with arterial-phase irregular margin enhancement,peritumoral arterial-phase enhancement and peritumoral hepatobiliary phase hypointensity were 0.896,0.842 and 0.860,with accuracy rates of 81.0%,84.5%and 82.8%,respectively.Conclusion Preoperative serum AFP levels,arterial-phase irregular margin enhancement,peritumoral arterial-phase enhancement and peritumoral hepatobiliary phase hypointensity are independent risk factors for early recurrence after radiofrequency ablation in hepatocellular carcinoma patients.The combination of AFP and any of these MRI features significantly improves predictive efficacy.

Objective:To analyse the clinical characteristics of 214 cases of paediatric high altitude pulmonary edema（HAPE）and the efficacy of dexamethasone in adjunctive therapy.Methods:This retrospective study analyzed 214 pediatric cases of HAPE admitted to the Department of Paediatrics of the General Hospital of Tibetan Military between June 2015 to June 2017 and June 2019 to June 2021.Patients were divided into dexamethasone-treated group and dexamethasone-untreated group.Baseline data，clinical characteristics were collected to evaluate the treatment efficacy and drug side effects.Results:There were 107 children in each of the two groups with a median age of 8（5，11）years. The median age of the dexamethasone-treated group was 9（6，12）years and the mean age of the dexamethasone-untreated group was 7（3，10）years. The proportion of male children was 69.60%（149/214）；the onset of illness was mostly concentrated within 72 hours，accounting for 97.20%（208/214）of the cases；83.18%（178/214）of the cases had symptoms of combined upper respiratory tract infection before entering the plateau. The most important clinical symptoms of the children were cough（86.92%，186/214），cyanosis（70.09%，150/214），and shortness of breath（66.36%，142/214）. The proportion of auscultatory rhonchi was 83.18%（178/214），and all cases showed positive findings on chest radiography. After the dexamethasone regimen，the overall cure rate of the children was 94.39%，the average disappearance time of the symptoms and signs was（40.52±7.85）h，and the average hospital stay was（3.60±1.90）d. After treatment with the dexamethasone-free regimen，the overall cure rate was 92.52%，the mean time to disappearance of symptoms and signs was（42.10±7.62）h，and the mean length of stay in the hospital was(3.84±2.08)d. There was no significant difference in the cure rate，the disappearance time of symptoms and signs，and the average hospitalisation days between the two groups（ P>0.05），but a total of 11 children in the dexamethasone-treated group experienced adverse drug reactions，and no children in the dexamethasone-untreated group experienced adverse drug reactions. Conclusion:Han Chinese male children，particularly those with upper respiratory infections，should be closely monitored for HAPE risk within three days of ascending to high altitudes. This study does not recommend the use of dexamethasone for pediatric HAPE due to the lack of therapeutic benefits and potential adverse effects.

Objective:To investigate the feasibility and safety of high-speed railway (HSR) transport for critically ill pediatric patients.Methods:A single-center retrospective analysis was conducted.A total of 39 children transported via HSR (HSR group) and 420 children transported via ambulance (ambulance group) from May 2019 to December 2024 at the Seventh Medical Center of the PLA General Hospital were included.Demographic data,disease types,transport distances,and outcomes were compared between the two groups,and the vital signs,blood gas analysis,mechanical ventilation parameters,and vasoactive drug usage before and after HSR transport were also compared.Results:Over the five-year period,39 HSR transports and 420 ambulance transports were completed.No significant differences were observed in gender,age,or weight between HSR group and ambulance group( P>0.05).The proportion of circulatory system diseases was significantly higher in the HSR group (74.4% vs.55.1%, P = 0.020).HSR transports covered longer distances [855(855,1 075)km vs.84(23,273) km, P<0.001] and achieved faster speeds [150(150,216) vs.80(79,80)km/h, P<0.001].No significant differences were found in heart rate,body temperature,or diastolic pressure before and after HSR transport ( P>0.05).However,systolic blood pressure and partial pressure of oxygen increased slightly post-HSR transport [(82.97±15.44) vs.(85.15 ± 14.82)mmHg, P=0.003；(84.22±25.45)mmHg vs.(88.95±28.70)mmHg, P=0.029].Mechanical ventilation parameters remained stable during HSR transport ( P>0.05). Conclusion:HSR transport is feasible and safe for critically ill children and represents a promising option for long-distance interhospital transfers of pediatric patients.