Objective: To analyze the epidemiological characteristics of category C intestinal infectious diseases among children and adolescents in Shenzhen from 2012 to 2024 and the association with meteorological factors, so as to provide a scientific basis for the targeted prevention and control of infectious diseases for children and adolescents. Methods: Using data from the "Infectious Disease Reporting Information Management System" of the "China Disease Prevention and Control Information System" covering the period from January 1, 2012 to December 31, 2024, the study analyzed clinical and confirmed cases of hand, foot, and mouth disease, other infectious diarrhea, and acute hemorrhagic conjunctivitis among individuals aged 6-19 years old to describe demographic and temporal characteristics. It used Joinpoint regression to calculate the average annual percent change (AAPC) and annual percent change (APC) to analyze incidence trends, and Spearman s correlation was combined to generalize linear models so as to assess the association between category C intestinal infectious diseases and meteorological factors. Results: From 2012 to 2024, a cumulative total of 61 019 cases of hand, foot, and mouth disease among children and adolescents, 58 498 cases of other infectious diarrhea, and 6 377 cases of acute hemorrhagic conjunctivitis were reported. The AAPC in the incidence rates of these three diseases was 19.19%, 31.03% and 31.48 %, respectively(all P <0.05). Notably, the incidence of hand, foot, and mouth disease increased significantly after 2022 (APC= 133.66 %, P <0.01). The temporal distribution showed that hand,foot,and mouth disease was most prevalent in May,June and July (seasonal index of 2.39,3.64,1.97), other infectious diarrhea was most prevalent in February,March and December (seasonal index of 1.22,1.25,1.47), and acute hemorrhagic conjunctivitis peaked in September and October (seasonal index of 4.22,2.16). Monthly average temperature could increase the risk of hand,foot,and mouth disease( β = 0.18 ,95% CI =0.11-0.25); as monthly average wind speed increased, the incidence of other infectious diarrhea ( β =-0.86, 95% CI = -1.50 to -0.22) and acute hemorrhagic conjunctivitis ( β =-1.32, 95% CI =-2.60 to -0.05) both decreased (all P < 0.05 ). Conclusions Among children and adolescents in Shenzhen, category C intestinal infectious diseases remain prevalent throughout the year；the number of reported hand, foot, and mouth disease cases has shown an upward trend in recent years.Temperature and wind speed significantly affect the number of reported cases of three types with category C intestinal infectious diseases.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Objective:To investigate the clinical features and pregnancy outcomes of prolactin-secreting adenomas (PRLomas) complicating pregnancy.Methods:This retrospective study analyzed 53 pregnant women with PRLomas treated at Xuanwu Hospital, Capital Medical University between January 2013 and December 2023. Patients were stratified into microadenoma (<1 cm, n=46) and macroadenoma (≥1 cm, n=7) groups based on tumor size. Maternal complications, perinatal outcomes, and clinical characteristics of PRLomas diagnosed during pregnancy were evaluated. Statistical analysis was performed using independent samples t-test or Chi-square (or Fisher's exact) test. Results:(1) Among the 53 patients (mean age 31.9±7.1 years), 50 (94.3%) were primiparas and 48 (90.6%) were diagnosed before pregnancy, five (9.4%) during pregnancy. Maternal complications included hypothyroidism (14/53, 26.4%), gestational hyperglycemia (11/53, 20.7%), hypertensive disorders of pregnancy (7/53, 13.2%), pituitary apoplexy (6/53, 11.3%), postpartum hemorrhage (4/53, 7.5%), and fetal growth restriction (1/53, 1.9%). (2) Early pregnancy loss occurred in 7.5% (4/53) (<10 weeks' gestation), while 49 cases (92.5%) completed their pregnancies and delivered, including 18 vaginal deliveries (36.7%) and 31 cesarean deliveries (63.3%). The macroadenoma group had a higher preterm birth rate ≤34 weeks [2/7 vs. 2.2% (1/46), χ2=7.93, P=0.005] and shorter gestational age at delivery [(36±2) weeks vs. (38±6) weeks, t=3.03, P=0.003] compared to the microadenoma group. (3) Postpartum follow-up of 39 cases revealed 7.7% (3/39) required artificial feeding due to bromocriptine therapy, while 92.3% (36/39) breastfed for 12 (1-24) months. Postpartum MRI showed tumor resolution in 33.3% (13/39), though 66.7% (26/39) lacked imaging follow-up. (4) All five pregnancy-diagnosed PRLomas were >2 cm. One patient underwent surgical resection at 19 weeks with restored vision and term delivery, while four received postpartum surgery with improved visual deficits. Conclusions:Patients with pregnancy-associated PRLoma diagnosed during pregnancy all had tumors >2 cm in diameter. Management should be individualized based on tumor size, with intensified pregnancy monitoring and timely intervention to achieve favorable outcomes. Microadenoma cases demonstrated better pregnancy outcomes than macroadenoma cases.

BACKGROUND:Chronic rotator cuff injury is often companied by tendon degeneration and impaired function of tendon-derived stem cells.As am important cytokine,platelet-derived growth factor-DD has a regulatory effect on the proliferation and differentiation of tendon-derived stem cells.OBJECTIVE:To investigate the effect of platelet-derived growth factor-DD on the proliferation and multilineage differentiation of tendon-derived stem cells in human chronic rotator cuff injury.METHODS:Tendon-derived stem cells were isolated from human chronic rotator cuff injury tissue and cultured in vitro.Immunofluorescence staining was used to observe the cytoskeletal morphology of tendon-derived stem cells.Flow cytometry was used to identify the phenotype of tendon-derived stem cells.Tendon-derived stem cells were divided into two groups.The control group did not receive any intervention.The platelet-derived growth factor-DD group was treated with 5 μg/mL platelet-derived growth factor-DD.The effect of platelet-derived growth factor-DD on the proliferation and multilineage differentiation of tendon-derived stem cells was evaluated by cell proliferation assay and three-lineage differentiation assay.RESULTS AND CONCLUSION:(1)The number of EdU-positive cells in the platelet-derived growth factor-DD group was significantly increased compared with the control group(P＜0.05).Tendon-derived stem cells entered the rapid proliferation phase earlier,and the cell growth was logarithmic.(2)The positive areas of Oil Red O staining,Alcian Blue staining,and Alizarin Red staining in the platelet-derived growth factor-DD group were significantly larger than those in the control group(P＜0.05).(3)The above results show that platelet-derived growth factor-DD significantly promotes the proliferation and adipogenic,osteogenic,and chondrogenic differentiation of tendon-derived stem cells.

Objective:To explore the effect of combining ultrasound stimulation with continuous passive movement (CPM) on triceps crus spasms and the motor functioning of children with spastic cerebral palsy.Methods:Sixty children with spastic cerebral palsy were randomly divided into a control group, a CPM group, and a combined treatment group, each of 20. All received routine rehabilitation treatment (including exercise therapy, electrical stimulation and massage), while the CPM and combined groups were additionally provided with CPM and CPM + ultrasound stimulation, respectively. All of the children were treated once a day, 6 times a week, for 4 consecutive weeks. Before and after the treatment, the Tardieu scale (MTS) was used to assess the degree of triceps spasm, and the Berg Balance Scale (BBS), the Gross Motor Function Test (GMFM-88), and 10m walking speed (10MWT) were employed to assess motor function.Results:After the treatment, the average MTS scores, BBS scores and GMFM-88 scale scores in the D and E areas of all 3 groups had improved significantly compared with before the treatment, with those of the observation and CPM groups significantly better than among the control group. With the knee flexed and extended, the Tardiu scale R1, R2 and X values of the combined treatment group were significantly better than those of the CPM group, on average. The combined group′s average BBS score and its average score in the D-zone of the GMFM-88 were also significantly better than the CPM group′s averages.Conclusions:Ultrasound combined with continuous passive movement can effectively relieve triceps spasm in children with cerebral palsy, and improve their static posture control during squatting, sitting and standing.

Objective To investigate the predictive value of serum interferon regulatory factor 4 (IRF4) and receptor activator of nuclear factor-κB ligand (RANKL) levels for recurrence and correlation with other immunological indicators in children with recurrent oral ulcers after treatment. Methods Eighty children with recurrent oral ulcers admitted to Beijing Chaoyang Hospital,Capital Medical University from January 2019 to June 2022 were collected as the diseased group. They were separated into a nonrecurrent group (n=61) and a recurrent group (n=19) based on follow-up results. Additionally,49 oral health volunteers who underwent physical examinations were regarded as the control group. ELISA was applied to detect serum levels of IRF4 and RANKL. General clinical data of patients were collected and analyzed. Multivariate logistic regression was applied to analyze the factors affecting the recurrence of children with recurrent oral ulcers. The Pearson method was applied to analyze the correlation between IRF4,RANKL,and immunological indicators. The receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of serum IRF4 and RANKL levels for recurrence in children with recurrent oral ulcers after treatment. Results Compared with the control group,the levels of IRF4(9.67±1.03ng/ml,7.86±0.92ng/ml vs 6.19±0.71ng/ml) and RANK(192.95±19.86pg/ml,152.56±15.98pg/ml vs 83.96±9.85pg/ml) in the non recurrent group and the recurrent group,compared with the non recurrent group,the levels of IRF4 and RANKL in the recurrent group were increased,and the differences were statistically significant (F=121.514,487.250,all P<0.05). There were statistical difference between the two groups in terms of inflammatory factors such as IL-1β,TNF-α,IL-6 and CD4+,CD4+/CD8+(t=6.926～15.648,all P<0.05). Logistic regression analysis,IRF4[OR(95％CI):1.529(1.079～2.167)],RANKL[OR(95％CI):1.421(1.049～1.925)]and IL-1β[OR(95％CI):1.322(1.007～1.736)]were all risk factors for recurrence in children with recurrent oral ulcers ( all P<0.05),while CD4+[OR(95％CI):0.788(0.641～0.968)]was protective factor for recurrence in children with recurrentoral ulcers (P<0.05). Pearson correlation analysis,IRF4,RANKL were positively correlated with inflamnatory factors (r=0.453～0.533,all P<0.05). CD4+(r=-0.407,-0.409) and CD4+/CD8+(r=-0.425,-0.412) were positively correlated with inflammatory factors (P<0.05),ROC curve results revealed that the AUC(95％CI)of serum IRF4,RANK,and their combination in predicting recurrence in children with recurrent oral ulcers was 0.840(0.741～0.913),0.832(0.732～0.906) and 0.928(0.847～0.974) respectively. The combined prediction was better than that of IRF4 and RANKL alone prediction(Z=1.984,2.071,P=0.047,0.038). Conclusion The serum levels of IRF4 and RANKL in children with recurrent oral ulcers obviously increase,both of which are risk factors affecting recurrence in children after treatment,and have certain auxiliary predictive values for recurrence in children after treatment.

Objective To observe the effect of preoperative exercise on consciousness,lung function and recovery efficiency of patients undergoing ventriculoperitoneal shunt.Methods A total of 54 patients undergoing elective ventriculoperitoneal shunt in Beijing Bo'ai Hospital from October,2024 to March,2025 were randomly divided into control group(n=27)and prerehabilitation group(n=27).The control group received routine preoperative treatment and nursing,while the prerehabilitation group additionally received exercise for two weeks.They were assessed with Coma Recovery Scale-Revised(CRS-R),and observed diaphragm mobility with sonography,before and three days after operation;and the time to first ambulation after surgery and length of stay in hospital were compared between two groups.Results CRS-R scores improved in both groups after operation(|t|>5.451,P<0.001),and it was greater in the prehabilitation group than in the control group(t=2.812,P<0.01).CRS-R subscale scores improved in auditory and motor functions in the control group(|Z|>2.000,P<0.05),and they were improved in auditory,visual,motor,verbal and arousal functions in the prehabilitation group(|Z|>2.282,P<0.01).CRS-R subscale scores were greater in motor and arousal in the prehabilitation group than in the control group(|Z|>2.320,P<0.05).Diaphragmatic mobility improved in the prehabilitation group(t=-7.782,P<0.001),and it was better than in the control group(t=2.044,P<0.05).The time to first ambulation after surgery and length of stay in hospital were shorter in the prehabilitation group than in the control group(|t|>3.654,P<0.01).Conclusion Preoperative exercise for patients undergoing elective ventriculoperitoneal shunt can improve the consciousness after operation,especially the level of motor and arousal,as well as the lung function,and accelerate the recovery process.

Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

Objective:To investigate the knowledge, attitudes, practices (KAP), and demands of medical staff in family physician teams regarding the application of artificial intelligence (AI) in contracted services, and to analyze the influencing factors.Methods:A cross-sectional study was conducted from June to July 2023. A total of 602 medical staff members from family physician teams in Shanghai Minhang District were selected as subjects. Data on demographics (age, gender, institution, position, education, work experience, household registration, professional title, marital status, fertility status) and KAP/demand regarding AI application in contracted services were collected using a self-designed questionnaire. Intergroup differences were analyzed. Multiple stepwise linear regression was employed to identify the main factors influencing AI application demand.Results:Among the 602 participants, 484 (80.4%) were aged 30-49 years, 466 (77.40%) were females, 559 (92.9%) held a bachelor′s degree or higher, and 505 (83.9%) had intermediate or senior professional titles. The awareness rate for knowledge, positive attitude rate, and practice implementation rate regarding AI application were 47.2% (284/602), 73.1% (440/602), and 32.1% (193/602), respectively. The mean scores for knowledge, attitude, and practice were 15.72±3.40, 18.34±3.41, and 14.60±3.89, respectively. Significant differences were found among the items within each KAP dimension (knowledge: F=7.688, P<0.001; attitude: F=5.106, P<0.001; practice: F=6.763, P<0.001). Within knowledge, item K3 (awareness of intelligent elderly monitoring devices) scored lowest (3.00±0.79), differing significantly from K1, K2, K4, and K5 (all P<0.05). Within attitude, item A5 (willingness to fully trust AI′s accuracy and convenience in contracted services) scored lowest (3.57±0.75), differing significantly from A3 and A4 (all P<0.05). Within practice, item P3 (increasing reliance on AI in daily contracted services) scored lowest (2.79±0.93), differing significantly from P1 and P2 (all P<0.05). KAP scores differed significantly across demographic subgroups. Knowledge scores differed significantly by age, gender, and marital status (all P<0.05). Attitude scores differed significantly by gender, household registration, and fertility status (all P<0.05). Practice scores differed significantly by gender, position, and marital status (all P<0.05). Regarding demand, the most frequently selected areas were follow-up services (28.74%, 173/602), data management (26.25%, 158/602), and data collection (25.42%, 153/602). Univariate analysis identified age, gender, education, professional title, fertility status, and KAP scores as significant factors influencing AI application demand (all P<0.05). Multiple stepwise linear regression revealed that older age ( t=3.905, P<0.001), female gender ( t=3.548, P<0.001), and higher practice scores ( t=-3.044, P=0.002) were significant predictors of greater AI application demand. Conclusions:Significant variations exist in the KAP levels regarding AI application among family physician team members. Gender, age, and practice behavior significantly influence demand. Tailored strategies for different subgroups, coupled with timely targeted training and practical exercises, are recommended to enhance the effective and widespread adoption of AI technology in family physician contracted services.

The purpose of this investigation was to elucidate the clinical characteristics and genetic underpinnings of a pediatric patient with neurodevelopmental disorder with ataxic gait, absent speech, and decreased cortical white matter (NDAGSW, OMIM#617807). The affected individual, a 1-year-9-month-old male, displayed physical development retardation and distinctive facial features, notably periorbital puffiness, upward-gazing palpebral fissures, a shortened philtrum, a tented mouth, and conical-shaped digits. Clinically, the patient presented with profound global developmental retardation, marked language deficits, hypotonia, and an ataxic gait. Subtle, non-diagnostic alterations were identified in cranial magnetic resonance imaging and visual evoked potential assessments. The trio-whole exome sequencing analysis revealed a de novo heterozygous mutation, c.202G>A (p.A68T), within the RAB11B gene, a known pathogenic variant linked to NDAGSW. Neurodevelopmental disorders due to RAB11B gene variants are rare disorders with clinical manifestations of severe mental retardation, aphasia, motor retardation, gait abnormalities with peculiar phenotypical features, structural abnormalities of the brain, and reduced cerebral white matter, cerebellar hypoplasia, and hypoplasia of the corpus callosum as seen on cranial imaging. Based on the characteristics of the disease, the heterozygous missense mutation c.202G>A (p.Ala68Thr) in the RAB11B gene was identified as the genetic etiology of the child.