Objective: To explore the regulatory role of paternal involvement in parenting in the association between parental adverse childhood experiences (ACEs) and autism like behavioral problems in children aged 3-6, so as to provide a basis for intervention strategies targeting the intergenerational health effects of ACEs. Methods: A longitudinal study design was used to select 1 780 children aged 3-6 from 12 kindergartens in Wuhu City, Anhui Province in June 2021 as the subjects of the baseline survey by convenient sampling, and the follow up surveys were conducted once every six months, for a total of two follow ups. Pearson correlation analysis was used to examine the association of parental ACEs and paternal involvement in parenting with autism like behavioral problems in children. A binary Logistic regression model was used to explore the association between parental ACEs and autism like behavioral problems in children. Based on stratification, the potential role of paternal involvement in the association between parental ACEs and autism like behavioral problems in children aged 3-6 was explored. Results: Autism like behavioral problem score in children aged 3-6 was positively correlated with the total score ACEs of parents as well as scores of emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, community violence, peer bullying, and family dysfunction( r =0.18,0.16,0.18,0.14,0.06,0.05,0.12,0.18,0.09,all P <0.05). Autism like behavioral problem score in children was negatively correlated with score of paternal involvement in parenting( r =-0.16, P <0.01). After adjusting for covariates such as gender, age, and birth weight of children, binary Logistic regression analysis showed that children whose parents had experiences of childhood emotional abuse, physical abuse, sexual abuse, community violence, peer bullying, or family dysfunction had higher risks of developing autism like behavioral problems than those in the non exposed group ( OR =3.29, 3.28, 6.71, 2.34, 4.08, 2.02, all P <0.01). In the group with low paternal involvement in parenting, all dimensions of parental ACEs(emotional abuse, physical abuse, sexual abuse, community violence, peer bullying, and family dysfunction) were significantly associated with an increased risk of autism like behavioral problems in children ( OR =1.84-8.34, all P <0.05). In contrast, in the group with high paternal involvement in parenting, no statistically significant associations were found between any dimension of parental ACEs and children s autism like behavioral problems ( OR =0.57-1.82, all P >0.05). Conclusion A high level of paternal involvement in parenting can reduce the adverse effects of parental ACEs on the occurrence of autism like behaviors in preschool children.

Objective To apply an artificial intelligence (AI) -based pelvic floor optimization training system using human motion analysis technique in patients undergoing pelvic floor rehabilitation, so as to assist clinicians in providing guidance, improving clinical efficiency, and enhancing the efficacy of patients' independent training. Methods A total of 60 patients with overactive bladder (OAB) complicated with urgent urinary incontinence (UUI) treated in our hospital during Sep. 2024 and Dec. 2025 were enrolled and randomly divided into the routine guidance group (n=30) and AI guidance group (n=30). The routine guidance group received conventional pelvic floor optimization training under clinicians' instruction, while the AI guidance group underwent training with the AI-based pelvic floor optimization system using human motion analysis. After 6 weeks of intervention, outcomes were compared between the two groups, including the international consultation on incontinence questionnaire-short form (ICI-Q-SF), incontinence quality of life scale (I-QoL), overactive bladder symptom score (OABSS), patient's perception of bladder condition (PPBC) score, pelvic floor muscle function (myoelectric values in the preresting, post-resting, type Ⅰ muscle, type Ⅱ muscle, and endurance test phases), urine output, average flow rate (Qavg), and maximum flow rate (Qmax). Results After 6 weeks of treatment, the ICI-Q-SF, I-QoL, OABSS, PPBC score, type I muscle myoelectric value, Qavg and Qmax were significantly improved in both groups compared with baseline (P＜0.05). After 6 weeks of intervention, the I-QoL score was significantly higher in the AI guidance group than in the routine guidance group[81.82 (79.55, 84.38) vs.77.84 (75.00, 79.55) ], with significant difference (P＜0.05). Compared with the routine guidance group, the AI guidance group showed significant improvements in myoelectric values in the pre-resting, post-resting, type I muscle and endurance testing phases (P＜0.05). Conclusion The AI-based pelvic floor optimization training system can effectively assist clinicians in guiding patients to complete pelvic floor optimization training, improve rehabilitation efficiency and efficacy of independent exercise, and reduce dependence on specialized clinicians, which exhibits favorable safety.

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective To investigate the relationship between serum forkhead box F1(FOXF1)and Ape-lin-13 levels and carotid atherosclerosis(CAS)in elderly patients with type 2 diabetes mellitus(T2DM).Methods From January 2022 to March 2024,207 elderly T2DM patients admitted to the hospital(T2DM group)and 52 healthy elderly patients underwent physical examination(control group)were selected as the study objects.The elderly T2DM patients were divided into CAS group(128 cases)and non-CAS group(79 cases)according to the occurrence of CAS.Serum FOXF1 and Apelin-13 levels were detected by real-time flu-orescent quantitative PCR and enzyme-linked immunoadsorption assay.The influencing factors of CAS in eld-erly T2DM patients were determined by multivariate unconditional Logistic regression,and the predictive effi-cacy of serum FOXF1 and Apelin-13 levels was analyzed by receiver operating characteristic curve.Results The levels of FOXF1 and Apelin-13 in T2DM group were lower than those in control group(P＜0.05).The inci-dence of CAS in 207 elderly T2DM patients was 61.84％(128/207).The levels of serum FOXF1 and Apelin-13 in CAS group were lower than those in non-CAS group(P＜0.05).The independent risk factors of CAS in elderly T2DM patients were the duration of T2DM,glycosylated hemoglobin and low density lipoprotein cho-lesterol(P＜0.05),and the independent protective factors were FOXF1 and Apelin-13(P＜0.05).The com-bined prediction of serum FOXF1 and Apelin-13 levels for CAS in elderly T2DM patients was 0.882,which was larger than 0.782 and 0.791 predicted by serum FOXF1 and Apelin-13 levels alone(P＜0.05).Conclu-sion The decrease of serum FOXF1 and Apelin-13 levels in elderly T2DM patients is closely related to CAS,and the combined detection of serum FOXF1 and Apelin-13 levels has a high predictive effect on CAS in elder-ly T2DM patients.

A 70-year-old female patient presented with fatigue and edema for 3 months and was found to have elevated serum creatinine for 3 weeks. During the course of the disease, she had fever and cough. Examinations revealed multiple ground-glass opacities in both lungs and positivity for myeloperoxidase-anti-neutrophil cytoplasmic antibodies (ANCA), leading to a diagnosis of ANCA-associated vasculitis. The patient′s condition initially improved after pulse glucocorticoid therapy combined with cyclophosphamide. During treatment, however, the patient developed hematochezia, and colonoscopy revealed multiple colonic ulcers. Immunohistochemistry of colonic mucosal biopsy confirmed cytomegalovirus (CMV) positivity, establishing a diagnosis of CMV colitis. The patient was found to have concurrent Clostridioidesdifficile and pulmonary infections. During the disease course, the patient also developed deep vein thrombosis and roxadustat-associated central hypothyroidism. Given the presence of multiple comorbidities, rituximab was subsequently used for vasculitis treatment, resulting in sustained remission. This case highlights the importance of highly individualized treatment strategies for older patients with vasculitis, requiring adjustment of immunosuppressive therapy intensity based on disease progression.

Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective: To investigate the mediating role of children s sleep quality in the association between mother-child relationship and the executive function of preschool children, providing a reference for promoting the development of the executive function of preschool children. Methods: A stratified cluster sampling method was used to select 842 preschoolers from 12 kindergartens in Wuhu City, Anhui Province in December 2021 as the subjects of the first follow up study with follow up every six months thereafter. Finally, 746 children were included in the study after 3 follow up. Spearman correlation analysis was used to explore the associations among mother-child relationship, sleep quality and executive function in preschool children. Bootstrap program and PROCESS software were applied to test the mediating effect of sleep quality in the association between mother-child relationship and the executive function of preschool children. Results: Conflictual mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory, and organizational planning ( r=0.40, 0.37, 0.36, 0.41, 0.38 , 0.34, all P <0.05). Dependent mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory , and organizational planning ( r=0.23, 0.20, 0.21, 0.22 , 0.22, 0.19, all P <0.05). Sleep quality was positively correlated with the total executive function score ( r=0.27, P <0.01). After adjusting for confounding factors, sleep quality played a partial mediating role in the associations between dependent and conflictual mother-child relationships and executive function, the mediating effects were 19.40% and 11.22% respectively. Conclusions Sleep quality plays a mediating role in the association between mother-child relationship and the executive function of preschool children. Improving sleep quality in the early stage can promote the executive function of preschool children.

Objective To retrospective analysis summarized the effectiveness and safety of the"triple"conversion therapy regimen combining immune,targeted and local therapy.Methods From February 2019 to June 2023,52 patients with advanced liver cancer from February 2019 to June 2023 in XI,an Jiao Tong university medicine college affiliated 3201 hospital were admitted and received conversion treatment regimens combining sintilimab with bevacizumab and combined with local treatment,analyzed the surgical resection rate and pathological complete response rate(pCR),complete response rate(CR),partial response rate(PR),progression of disease(PD),stable disease(SD),objective response rate(ORR)and disease control rate(DCR).To evaluated the effect of conversion therapy and adverse reactions.Results 21 cases had recived operative resection in the 52 patients with primary liver cancer receiving sintilimab and bevacizumab.The postoperative resection rate was 40.4％(21/52),pCR 42.9％(9/21).The other 31 cases have complete response 5.8％(3/52),PR 25.0％(13/52),PD 11.5％(6/52),SD 17.3％(9/52).The overall objective response rate(ORR)was71.2％(37/52),and the disease control rate(DCR)was 88.5％(46/52).Adverse reactions manifest as Grade 1-2 skin-related damage primarily affecting the epidermis.Conclusions For patients with potentially resectable primary liver cancer in middle and advanced stage,the"triple"conversion therapy with sintilimab combined with bevacizumab as systematic treatment and combined with local therapy can achieve good conversion treatment effect with controllable safety.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.