Objective: To analyze the independent and interaction effects of daytime outdoor light exposure and moderate to vigorous physical activity (MVPA) duration on sleep quality of primary school students, so as to provide scientific evidence for interventions on children s sleep health. Methods: From April to June 2024, a total of 444 students from grades 3 and 4 in 2 primary schools in Jiading District, Shanghai were selected using stratified random cluster sampling method for continuous 7 day monitoring. Wearable devices "Clouclip" were used to monitor daytime outdoor activity time (represented by time with light intensity ≥ 1 000 lx ), and accelerometers were used to monitor MVPA time and sleep quality related indicators. Multiple linear regression was used to analyze the associations of daytime outdoor activity and MVPA with sleep quality. Results: Both daytime outdoor light exposure and MVPA duration(longer actual sleep duration per night,longer time in bed,fewer awakening and shorter post sleep awakening shic) were independently associated with multiple sleep indicators( β =0.52, 0.46, -0.83, -2.19, all P <0.05), with no significant interaction between the associations ( P >0.05). After controlling for MVPA, more daytime outdoor light exposure was significantly and independently associated with longer actual sleep time ( β =0.50, 95% CI =0.21-0.79, P <0.05). After controlling for light exposure, longer MVPA duration was independently associated with shorter post-sleep awakening duration ( β=-4.15, 95% CI = -6.33 to -1.96, P <0.05). Conclusion Increased daytime outdoor activity and MVPA are both associated with better sleep quality in primary school students.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

As the accelerated population aging leads to a rising number of orthopedic surgeries, postoperative functional impairment and reduced quality of life in the patients have become increasingly prominent problems. Patients are demanding more efficient, individualized, and continuous rehabilitation services. In recent years, rapid development of digital technology and internet has promoted rise of telerehabilitation, which has shown broad application prospects in postoperative orthopedic rehabilitation. Depending on remote monitoring, online interventions, and personalized treatment strategies, telerehabilitation effectively overcomes the temporal and geographical limitations in traditional rehabilitation models, providing patients with more convenient, flexible, and sustainable rehabilitation pathways. This review systematically summarizes the current applications and research progress of telerehabilitation in postoperative orthopedic rehabilitation, expands on its advantages and limitations in enhancing functional recovery, rehabilitation compliance and care continuity, and discusses its future developments.

Objective To evaluate the relationship between nutritional parameters and the risk of venous thromboembolicism(VTE)in patients with tuberculosis so as to identify the risk factors and predictors of thrombosis and assist in the early identification of high-risk factors for VTE in patients with the pulmonary tuberculosis.Methods A total of 323 patients diagnosed with the pulmonary tuberculosis and hospitalized in Kunming Third People's Hospital from August 2021 to August 2023 were collected.According to the VTE risk assessment of non-operative patients,they were divided into the high-risk group and the low-risk group respectively with 116 and 207 in each group.The nutritional indicators with statistically significant differences between the two groups were screened by Lasso regression.Multivariate Logistic regression was used to screen the independent risk factors for high VTE risk in pulmonary tuberculosis patients,and a nomogram prediction model was constructed.The prediction model was evaluated by receiver operating characteristic curve(ROC),calibration curve,decision curve,and influence curve.Results Patients in the high-risk group were significantly older than those in the low-risk group(59 vs.41,P<0.001),hypertension,gender,and Type 2 diabetes did not differ significantly(P values were 0.084,0.724 and 0.488,respectively).9 variables were selected from the inter-group comparison and Lasso regression,including ALB,HCT,NRS2002 scores,HBDH,RDW-SD,RDW-CV,TG,CONUT scores,and NEFA.Multivariate Logistic regression analysis showed that ALB,NRS2002 scores,RDW-SD,and CONUT scores were independent influencing factors for the high risk of VTE scores in patients with tuberculosis(P<0.005).Area under the ROC curve showed that the AUC(0.892)for high-risk VTE scores in patients with the pulmonary tuberculosis was greater than that of ALB(0.803),NRS2002 score(0.735),RDW-SD(0.685),and CONUT score(0.774).Fitting prediction model:Logit(P):Y=0.433×NRS-0.136×ALB+0.411×CONUT score+0.072×RDW-SD-1.770,P=1/(1+e-Y)(Y:prediction index,P:prediction probability).Calibration curve showed that the model prediction tended to be consistent with the actual results(U:>0.05),and the decision curve and influence curve showed that the model can bring clinical benefits.Conclusion ALB,NRS2002 scores,RDW-SD,and CONUT scores are independent influencing factors for the high risk of VTE scores in patients with tuberculosis.They can guide the clinical practice,improve these indicators as soon as possible,reduce VTE scores,and reduce the thrombosis risk.At the same time,the prediction model performs well in the verification cohort,with its discrimination ability,calibration accuracy and clinical utility(decision curve analysis)all reaching a satisfactory level.

OBJECTIVES: To investigate the risk factors of overall postoperative complications in elderly patients undergoing gastrointestinal surgeries. METHODS: This study was conducted among a total of 1388 elderly patients, who underwent elective gastrointestinal surgeries at 17 centers across China between April, 2020 and April, 2022. The primary outcome was the incidence of postoperative complications within 30 days, including procedure-related, neuropsychiatric, respiratory, cardiovascular, and gastrointestinal complications as well as acute kidney injury. Baseline characteristics, preoperative psychological and functional status, intraoperative anesthesia and surgical factors, intraoperative medication, use of nerve block, and postoperative analgesia methods were compared between the patients experiencing one or more postoperative complications and those without complications. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors for postoperative complications. The relationship between postoperative acute pain and each type of complication were explored. RESULTS: The incidence of overall postoperative complications was 50.8% (705/1388) in these patients. Multivariate analysis showed that age (OR: 1.026; 95% CI: 1.006-1.046), prognostic nutritional index (OR: 0.998; 95% CI: 0.997-1.000), preoperative EuroQol-5 dimensions score (OR: 0.094; 95% CI: 0.018-0.500), blood loss (OR: 1.002; 95% CI: 1.001-1.003), and acute postoperative pain (OR: 1.308; 95% CI: 1.033-1.657) were significantly associated with the occurrence of postoperative complications. Specifically, patients experiencing severe postoperative pain had a significantly higher incidence of neuropsychiatric (27.2% vs 19.8%), procedure-related (17.3% vs 10.2%), and cardiovascular complications (3.6% vs 1.7%). CONCLUSIONS An advanced age, a low preoperative nutritional index, a poor quality of life score, a greater volume of intraoperative blood loss, and acute postoperative pain are independent risk factors for postoperative complications in elderly patients undergoing gastrointestinal surgeries. There is a significant association between acute postoperative pain and multi-system complications.
Humans ; Postoperative Complications/etiology* ; Aged ; Risk Factors ; Digestive System Surgical Procedures/adverse effects* ; Male ; Female ; China/epidemiology* ; Pain, Postoperative/epidemiology* ; Incidence ; Aged, 80 and over

Objective To review the application of user profiles in the health management of elderly patients with chronic diseases,and to provide references for nursing staff to apply this technology to manage chronic diseases in the elderly.Methods According to the scoping review methodology,a systematic search was conducted across 9 databases including Wanfang Database,CNKI,VIP,Chinese Biomedical Abstracted Database,PubMed,Embase,Web of Science,CINAHL and Cochrane Library.The search time was from the establishment of the database to January 2024.The literature was screened according to inclusion and exclusion criteria,and the information in the literature was independently extracted and summarized by 2 researchers.Results A total of 10 pieces of the literature were included in the study.The results showed that the process of constructing user profiles mainly includes data collection,user feature extraction,and profiles generation and visualization.User profiles are widely used in the health management of chronic diseases in the elderly,commonly used in the management of diabetes,heart failure and other chronic diseases in the elderly,including the formulation of personalised intervention plans,the provision of personalised health education and information,and the adjustment of health management strategies.User profiles significantly enhanced the accuracy of health information delivery and health services,improved user experience,enhanced patients'self-management ability and quality of life.Conclusion As an emerging health information integration tool,user profiles can merge and analyze multidimensional health data to provide personalized and precise health management for elderly patients with chronic diseases.This approach enhances remote monitoring,prevents and manages complications,improves treatment outcomes,and reduces medical costs,thereby demonstrating significant potential in the health management of elderly patients with chronic conditions.

Objective To investigate the clinical value of serum mast cell carboxypeptidase(MC-CP),C-C motif chemokine 26(CCL26),and decoy receptor 3(DcR3)in the diagnosis of obstructive sleep apnea syndrome(OSAS)in chronic obstructive pulmonary disease(COPD).Methods Ninety COPD patients who visited the First Affiliated Hospital of Hebei North University from January 2021 to January 2023 were collected.Among them,48 patients with simple COPD were included in the COPD group,and 42 patients with COPD combined with OSAS were included in the COPD-OSAS group.During the same period,48 healthy volunteers who underwent physical examination in that Hospital of Hebei North collected as the control group.Enzyme linked immunosorbent assay(ELISA)was applied to detect serum level of MC-CP,CCL26,and DcR3.Receiver operating characteristic(ROC)curve was applied to analyze the clinical value of serum level of MC-CP,CCL26,and DcR3 in the diag-nosis of COPD complicated with OSAS.Multivariate Logistic regression was applied to analyze the influencing fac-tors of COPD complicated with OSAS.Results Compared with the control group,the smoking index,C-reactive protein(CRP)and white blood cell count(WBC)in the COPD and COPD-OSAS groups increased obviously in sequence,the ratio of forced expiratory volume in first second to forced vital capacity(FEV1/FVC)decreased obviously in sequence(P<0.05);Compared with the control group,the level of MC-CP,CCL26,and DcR3 in patients with COPD and COPD-OSAS increased significantly in sequence(P<0.05);The combination of serum MC-CP,CCL26 and DcR3 had a higher area under the curve(AUC)for the diagnosis of COPD complicated with OSAS compared to the individual diagnosis(Z=4.066,P<0.001;Z=2.391,P<0.05;Z=2.353,P<0.05).Multivariate Logistic regression analysis showed that smoking index,serum level of MC-CP,CCL26 and DcR3 were influencing factors for COPD complicated with OSAS(P<0.05).Conclusions The simultane-ously increased expression of MC-CP,CCL26 and DcR3 in the serum of COPD may support clinical diagnostic of COPD patients with OSAS.

Objective To compare the efficacies of allogeneic hematopoietic stem cell transplantation(allo-HSCT)in the treatment of post-chronic aplastic anemia(CAA)myelodysplastic syndrome(MDS)and primary MDS.Methods A retrospective analysis was conducted on 32 patients who received allo-HSCT treatment in Department of Hematology,North China University of Science and Technology Affiliated Hospital between Feb.2012 and Feb.2022,including 12 patients with post-CAA MDS and 20 patients with primary MDS.The overall survival rate,cumulative incidence of relapse(CIR)rate,non-relapse mortality(NRM)rate,and event-free survival rate were compared between the 2 groups.Results The median follow-up time for CAA to progress to MDS was 120(72-180)months.All the patients were followed up for 36(3-79)months after allo-HSCT.The 3-year overall survival rate of the post-CAA MDS group was significantly higher than that of the primary MDS group(83.8%vs 45.0%,P=0.035).The 3-year CIR of the post-CAA MDS group was significantly lower than that of the primary MDS group(16.7%vs 55.0%,P=0.021).There was no significant difference in the event-free survival rates or NRM rates between the 2 groups(both P＞0.05).Conclusion The post-CAA MDS patients have better survival after allo-HSCT than the primary MDS patients.Early allo-HSCT treatment may improve the prognosis.

Non-small cell lung cancer (NSCLC), a leading cause of cancer-related deaths worldwide, remains a significant clinical challenge despite advances in immune checkpoint inhibitors therapy, with drug resistance persisting as a major obstacle. Palmitoylation, a critical post-translational modification (PTM) primarily catalyzed by palmitoyltransferases of the zinc finger DHHC-type (ZDHHC), has recently demonstrated important implications in NSCLC. This review aims to elucidate the mechanisms and clinical potential of ZDHHC-mediated protein palmitoylation in NSCLC progression and immune escape.
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Humans ; Lipoylation ; Lung Neoplasms/pathology* ; Acyltransferases/genetics* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Animals

Objective: To analyze the trajectory of dietary behaviors among middle school students in Jiading District, Shanghai, from 2021 to 2023, and longitudinally verify their association with anxiety and depression symptoms, aiming to provide scientific evidence for promoting the mental health of adolescents. Methods: The data were sourced from the National Monitoring and Intervention Project on Common Diseases and Health Impact Factors of students in Jiading District, Shanghai. A total of 1 217 middle school students who participated in at least two surveys from 2021 to 2023 were selected as the research objects, and group-based trajectory model was constructed to identify their dietary behavior scores trajectories. Modified Poisson regression was used to investigate the impact of dietary behavior scores trajectories on anxiety and depression, while Logistic regression was employed to explore the association between trajectories and changes in depression score levels. Results: The dietary behavior scores trajectories of middle school students were divided into three groups: Persistent Healthy Dietary Behavior (9.5%), Persistent Relatively Unhealthy Dietary Behavior (85.0%), and Persistent Very Unhealthy Dietary Behavior (5.5%). Students who perceived their academic performance as poor and whose parents had a cultural level of high school or below had a significantly lower proportion in the Persistent Healthy Dietary Behavior group compared to students with other characteristics ( χ 2=12.87, 8.69, 6.50, P <0.05). Compared with the Persistent Healthy Dietary Behavior group, the risk of anxiety symptoms in middle school students in the Persistent Very Unhealthy Dietary Behavior group was significantly increased ( aRR=3.04, 95%CI =1.15-8.02); Persistent Relatively Unhealthy Dietary Behavior and Persistent Very Unhealthy Dietary Behavior increased the risk of depressive symptoms ( aRR = 1.80 , 2.45, respectively), and were positively correlated with the increase in depression scores ( aOR =1.70, 2.24) ( P <0.05). Conclusions The dietary behavior of middle school students have not changed significantly in the past three years, with persistent unhealthy dietary behavior being the most common. Unhealthy dietary behaviors are positively correlated with the risk of anxiety and depressive symptoms and an increase in depression scores.