Objective: To construct a quality control evaluation indicator system for the surveillance of common diseases among students, so as to provide a reference for the quality control of surveillance projects. Methods: Based on literature review and expert interviews, a preliminary framework and candidate indicators were developed from June to August in 2024. Twenty domain experts participated in two rounds of Delphi consultations conducted via email, providing importance ratings, judgment basis, familiarity levels, and feasibility assessments for each indicator. And a quality control evaluation indicator system for the surveillance of common diseases among students was ultimately constructed. Results: The consulted experts aged 33-53, with an average age of (45.25±5.03) years, were from government health administration departments( n =1), centers for disease control and prevention at different levels( n =16), academic and research institutions( n =3). Their work experience in school health related fields ranged from 6 to 33 years, with an average of (16.70±8.25) years. The activeness of experts in both rounds of consultation was 100%, the mean expert authority coefficient was 0.90, and the mean feasibility evaluation was 0.75. Kendall s W test showed that the expert coordination coefficient for the first round was 0.26, and for the second round, it was 0.33 ( P <0.01). After two rounds of expert consultation, a set of quality control evaluation indicators for the surveillance of common diseases among students was ultimately constructed, including 6 first level indicators, 19 second level indicators, and 37 third level indicators. Conclusion The scientifically developed evaluation indicator system facilitates high quality implementation of student common disease surveillance programs.

OBJECTIVE: To screen the population for acupuncture treatment of neck pain, using functional magnetic resonance imaging (fMRI) technology and based on machine learning algorithms. METHODS: Eighty patients with neck pain were recruited. Using FPX25 handheld pressure algometer, the tender points were detected in the areas with high-frequent onset of neck pain and high degree of acupoint sensitization. Acupuncture was delivered at 4 tender points with the lowest pain threshold, once every two days; and the treatment was given 3 times a week and for 2 consecutive weeks. The amplitude of low-frequency fluctuation (ALFF) of the brain before treatment was taken as a predictive feature to construct support vector machine (SVM), logistic regression (LR), and K-nearest neighbors (KNN) models to predict the responses of neck pain patients to acupuncture treatment. A longitudinal analysis of the ALFF features was performed before and after treatment to reveal the potential biological markers of the reactivity to the acupuncture therapy. RESULTS: The SVM model could successfully distinguish high responders (48 cases) and low responders (32 cases) to acupuncture treatment, and its accuracy rate reached 82.5%. Based on the SVM model, the ALFF values of 4 brain regions were identified as the consistent predictive features, including the right middle temporal gyrus, the right superior occipital gyrus, and the bilateral posterior cingulate gyrus. In the patients with high acupuncture response, the ALFF value in the left posterior cingulate gyrus decreased after treatment (P<0.05), whereas in the patients with low acupuncture response, the ALFF value in the right superior occipital gyrus increased after treatment (P<0.01). The longitudinal functional connectivity (FC) analysis found that compared with those before treatment, the high responders showed the enhanced FC after treatment between the left posterior cingulate gyrus and various regions, including the bilateral Crus1 of the cerebellum, the right insula, the bilateral angular gyrus, the left medial superior frontal gyrus, and the left middle cingulate gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). In contrast, the low responders exhibited the enhanced FC between the left posterior cingulate gyrus and the left Crus2 of the cerebellum, the left middle temporal gyrus, the right posterior cingulate gyrus, and the left angular gyrus; besides, FC was reduced in low responders between the left posterior cingulate gyrus and the right supramarginal gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). CONCLUSION This study validates the practicality of pre-treatment ALFF feature prediction for acupuncture efficacy on neck pain. The therapeutic effect of acupuncture on neck pain is potentially associated with its impact on the default mode network, and then, alter the pain perception and emotional regulation.
Humans ; Neck Pain/physiopathology* ; Acupuncture Therapy ; Female ; Male ; Adult ; Middle Aged ; Machine Learning ; Magnetic Resonance Imaging ; Young Adult ; Brain/physiopathology* ; Acupuncture Points ; Aged

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective To observe the application effect of magnetic resonance imaging technology in evaluating the brain structure and function of patients with type 2 diabetic painful neuropathy (PDN). Methods Forty patients with type 2 diabetes mellitus hospitalized in our hospital were selected as the study objects, and were divided into diabetes mellitus (DM) group (n=12), peripheral neuropathy (DPN) group (n=14) and PDN group (n=14). General clinical biochemical indexes of three groups were analyzed. The structural brain and function of brain area in three groups were compared. Results Age, duration of diabetes, systolic blood pressure, diastolic blood pressure, fasting blood glucose (FBG), glycosylated hemoglobin (HbA1c), free fatty acid (FFA), albumin (ALB), creatinine (Cr), uric acid (UA), estimated glomerular filtration rate (eGFR), cystatin C (Cys-C), total cholesterol (TC), triglyceride (TG) of the three groups were compared, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triiodothyronine (T3), thyroxine (T4), thyroid stimulating hormone (TSH), thyroglobulin antibody (TGAb), thyroid peroxidase antibody (TPO-Ab) and serum calcium (Ca) in the three groups showed no significant differences (P > 0.05). Compared with the DM group, the gray matter volume (GMV) in the DPN group was significantly decreased (P < 0.05). Compared with the DM group, amplitude of low frequency fluctuation (ALFF) and fractional amplitude of low frequency fluctuation (fALFF) of left medial superiorfrontal gyrus in the PDN group were significantly decreased (P < 0.05). Conclusion Abnormal GMV in the left angular gyrus in DPN patients may be associated with a higher risk of concomitant cognitive impairment. The decrease of ALFF in the right cerebellar vermis and fALFF in the left medial superior frontal gyrus in PDN patients may be related to the pathogenesis of pain.

Objective To systematically evaluate qualitative studies on the experience of transition from adolescent to adult medical care for patients with congenital heart disease(CHD),and to provide a reference for exploring CHD transition management options and developing intervention strategies.Methods A computerized search of PubMed,Embase,Web of Science,Cochrane Library,EBSCO,CINAHL,China Knowledge Network,Wanfang database,Vipshop database,and China Biomedical Literature Database for qualitative studies on the transition experience of CHD patients from adolescence to adult medical care was conducted for the period from the establishment of the database to April 2023.The quality of the literature was evaluated using the Joanna Briggs Institute(JBI)Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research(2016),and the results were integrated using meta-integration methods.Results A total of 9 studies were included,and 49 research results were extracted,and 11 categories were summarized.The final synthesis included 4 integrated results:①Complex attitudes towards healthcare transition,with both attachment and expectation:attachment to paediatric healthcare providers,expectation of transition to adult healthcare providers.(2)Facing multiple healthcare transition challenges:lack of adequate preparation for healthcare transition,parents withdrawing from the role of disease manager,large differences in services between paediatric and adult healthcare providers.③Expect to receive multiple supports:expect to receive comprehensive health education from healthcare personnel,expect healthcare institutions to set up healthcare transition counselling clinics and achieve handover of illness,expect to receive companionship and support from parents,expect to receive understanding and help from peers.④ Per-ceived benefits of medical transition:increased ability to manage illness,role change and personal growth.Conclusion Adolescents with CHD have a complex experience of transitioning to adult healthcare,and healthcare professionals should be attentive to their feelings,encourage them to deal with challenges positively,and provide adequate information and joint parental and peer support to facilitate a smooth transition to adult healthcare for adolescents.

Objective:To understand the monkeypox knowledge awareness, risk perception and vaccination intention in men who have sex with men (MSM) in five cities in northeast China.Methods:A cross-sectional study was conducted by using electronic questionnaire in MSM selected by convenience sampling in five cities in northeast China (Shenyang, Panjin, Changchun, Harbin and Jiamusi) from June 28 to July 8, 2023 by local centers for disease control and prevention and MSM communities. The sample size was estimated to be 220. Information about their demographics, monkeypox-related knowledge awareness, perceived concern about epidemic risk perception, and monkeypox vaccination intention were collected. Logistic regression model was used to analyze related factors for MSM's monkeypox vaccination intention.Results:In 355 MSM, 63.9% (227/355) had monkeypox vaccination intentions, and 55.5% (197/355) had high awareness of monkeypox related knowledge with a mean knowledge awareness score of 3.7±1.5. MSM with education level of high-school and above (a OR=1.93, 95% CI:1.01-3.69), higher knowledge awareness score (a OR=1.19, 95% CI:1.02-1.40) and higher risk perception of monkeypox infection (a OR=1.82, 95% CI:1.15-2.88), were more willing to receive monkeypox vaccination. The main reasons for willingness to receive monkeypox vaccine were preventing monkeypox (86.3%, 196/227) and worrying about appearance being affected (62.1%, 141/227). The main reasons for unwillingness for the vaccination included concerns about vaccine safety (53.1%, 68/128), clinical progression of AIDS being affected (46.1%, 59/128) and efficacy of antiretroviral therapy being affected (44.5%, 57/128). Conclusions:The levels of knowledge awareness and vaccine intentions still need to be improved among MSM in five cities of northeast China. It is necessary to improve the awareness of monkeypox and intention of monkeypox vaccination, promote protected sex behavior and self-assessment of infection risk, reduce vaccine hesitancy and increase monkeypox vaccination intention in MSM in 5 cities in northeast China.

Objective: To explore the association between digital devices usage and body weight overestimation in children and adolescents aged 7-18, in order to provide a scientific basis for body weight overestimation prevention in children and adolescents. Methods: Based on the data of the Research Special Project for Public Welfare Industry of Health using stratified cluster sampling method in 2012, a tatal of 40 073 children and adolescents from 7 provinces with complete information were chosen. Ordinal multivariable Logistic regression model estimated the association between digital devices usage and body weight overestimation. Results: A total of 4 276(11.8%) students with overestimation of body weight were detected, who spent >300 min/d time in digital devices(5.12%) than others (3.84%)( χ 2=19.14, P <0.01). Univariate analysis showed that students with time spent on digital devices >300 min/d had a higher risk in overestimation of body weight ( OR=1.36,95%CI=1.18-1.57,P <0.01) compared with students who spent on digital devices≤120 min/d. There was still a significant association after confounder adjustment ( OR=1.28, 95%CI= 1.10-1.48,P <0.05). Stratified analysis showed that the association between digital devices usage and overestimation of body weight were only observed in girls, 11-18 years old and non single child( P <0.05). Conclusion The time usage of digital devices is associated with overestimation of body weight in children and adolescents. It may helpful for children and adolescents to prevent overestimation of body weight by reducing time spent on digital devices.

Objective : To explore the association of time in range(TIR) and glucose management indicator ( GMI) with the risk of type 2 diabetic nephropathy (DN) ． Methods : The clinical data of 215 patients with type 2 diabetes mellitus (T2DM) were collected and analyzed．According to the results of estimated glomerular filtration rate (eGFR) and urinary albumin to creatinine ratio( UACR) ，they were divided into 117 patients with T2DM and 98 patients with DN．The clinical data，biochemical indicators and continuous glucose monitoring ( CGM) indicators of the two groups were compared．Logistic regression was used to analyze the influencing factors of DN risk．The predictive value of TIR and GMI on the risk of DN was evaluated by receiver operating characteristic (ROC) curve. Results: There were significant differences in age，duration of diabetes，systolic blood pressure，glycosylated hemoglobin ( HbA1c) ，fasting plasma glucose (FPG) ，2 hour postprandial plasma glucose (2hPG) ，creatinine( Cr) ，UACR, eGFR between the two groups(P＜0. 05) ．There were statistically significant differences between the two groups in the CGM indexes of GMI，mean absolute difference of mean of daily differences ( MODD) ，glucose above target range time(TAR) and TIR(P＜0. 05) ．The results of logistic regression analysis showed that TIR was a protective factor of DN．In the ROC curve analysis of TIR prediction DN，the area under the ROC curve was 0. 718 (95% CI = 0. 648 ～0. 789，P＜0. 001) ，and the Yoden index was 0. 38．At this time，the sensitivity was 66. 7% ，and the specificity was 71. 3%．In the ROC curve analysis of GMI prediction DN，the area under the ROC curve was 0. 701 (95% CI = 0. 629 ～0. 774，P＜0. 001) ，and the Yoden index was 0. 368．At this time，the sensitivity was 63. 3% ， and the specificity was 73. 5%． Conclusion Specifically，lower TIR and higher GMI increase the risk of DN.

Objective:To summarize the experience of personalized treatment of pediatric prepuce trauma.Methods:The clinical data of children with prepuce trauma treated in the Department of Pediatric Surgery of the First Affiliated Hospital of Zhengzhou University from January 2019 to March 2021 were analyzed retrospectively. First, pediatric prepuce trauma was classified and graded before treatment, and then the treatment plans were developed with the informed consent of the children’s parents. Mild injuries were treated conservatively. In moderate injuries, in situ suture repair and frenuloplasty were performed. In severe injuries, modified circumcision and prepuce flap prepuceplasty were performed. In extremely severe injuries, composite flap (scrotal and mons pubis flap combined with prepuce flap) prepuceplasty was performed. The children were followed up for penile appearance and urinary and erectile function postoperatively.Results:A total of 36 male children, aged 6 months to 10 years, were enrolled in the study. Type of foreskin trauma: 7 cases of foreskin tie injury, 7 cases of inner plate injury, 12 cases of outer plate injury, and 10 cases of combined inner and outer plate injury; degree of foreskin trauma: 9 cases of mild injury, 6 cases of moderate injury, 19 cases of severe injury, and 2 cases of extremely severe injury. 9 of the 36 cases were treated conservatively; 4 cases were treated with in situ suture repair; 5 cases were treated with in situ suture repair + circumcision; 12 cases were treated with modified circumcision; 4 cases were treated with foreskin flap penile circumcision, and composite flaps (scrotal and mons pubis flaps as advancement flap + prepuce flap) were applied in 2 cases. All the children were followed up for 3~6 months. The appearance of the penis and scrotum was good, and the urination and erectile function were normal after treatment. The parents of the children were satisfied with the treatment results.Conclusions:For the treatment of pediatric prepuce trauma, it is necessary to comprehensively consider the location of the prepuce involved and the degree of prepuce injury and adopt an appropriate personalized treatment plan, which can achieve better results.