OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease （CHD） patients with initial treatment， aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology （hereinafter referred to as “our hospital”） between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly， 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors， followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance， while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group （319 cases） and an internal validation group （143 cases）. In the modeling group， the medication deviation group （192 cases， 60.19%） and the non-medication deviation group （127 cases， 39.81%） were identified. Multivariate Logistic regression analysis revealed that age， medication type， medication adherence， and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment （ P ＜0.05）. The predictive model equation was logit P ＝ln[ P /（1－ P ） ] ＝1.321+1.732×age+4.091×medication type －4.360×medication adherence －3.081×self-efficacy in rational medication use. The model demonstrated good discrimination， with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439， an area under the receiver operating characteristic curve （AUC） of 0.870， sensitivity of 0.970， and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%， while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy， effectively identifying high-risk populations for medication deviations. Age （＞70 years）， number of drug types≥5， poor medication adherence， and poor self-efficacy in rational medication use are independent risk factors for medication deviations.

BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Objective To evaluate the effectiveness of schistosomiasis surveillance in Jiangsu Province during the stage moving from transmission control to transmission interruption, and to analyze the current risk and challenges, so as to provide the evidence for achieving the target of schistosomiasis elimination. Methods Schistosomiasis surveillance data were collected from Jiangsu Province from 2012 to 2024, and the endemic areas, Schistosoma japonicum infections in humans and livestock, Oncomelania hupensis snail distribution and implementation of integrated interventions were descriptively analyzed. In addition, the trends in areas with snails, seroprevalence of human S. japonicum infections and numbers of advanced schistosomiasis cases were assessed using a Joinpoint regression model. Results The endemic areas of schistosomiasis continued to shrink in Jiangsu Province from 2012 to 2024, with the number of schistosomiasis-eliminated counties (cities, districts) increasing from 53 (75.71%) to 63 (96.92%), and interruption of schistosomiasis transmission was achieved across the province. A total of 4 600 300 person-times were tested for serum antibodies against S. japonicum, with 28 719 person-times positive detected; and 616 500 person-times were tested S. japonicum infections among local residents in Jiangsu Province from 2012 to 2024, with only 3 egg-positives detected, and no egg-positives found since 2017. A total of 187 600 herd-times were tested for schistosomiasis in livestock, and no S. japonicum infections were found. O. hupensis snail survey was performed covering 1 018 408.97 hm², and a total of 35 556.35 hm² was found with snail-infested habitats, including 174.40 hm2 of emerging snail-infested habitats. A total of 1 102 800 O. hupensis snails were identified for S. japonicum infections, and no infections were found. The areas of snail-infested habitats appeared a tendency towards a rise in Jiangsu Province from 2019 to 2023 (APC = 23.67%, P < 0.05), and the actual areas of snail-infested habitats appeared a tendency towards a decline from 2012 to 2015 (APC = −22.77%, P < 0.05), and towards a rise from 2015 to 2023 (APC = 9.76%, P < 0.01). The seroprevalence of anti-S. japonicum antibodies appeared a tendency towards a decline among residents in Jiangsu Province from 2017 to 2023 (APC = −14.92%, P < 0.01). In addition, the number of newly diagnosed advanced schistosomiasis cases appeared a tendency towards a decline from 2012 to 2024 (APC = −12.02%, P < 0.01), and the numbers of advanced schistosomiasis patients requiring treatment showed a tendency towards a decline from 2012 to 2021 (APC = −10.56%, P < 0.01) and from 2021 to 2023 (APC = −20.06%, P < 0.01). Conclusions Great progresses had been achieved in schistosomiasis control in Jiangsu Province following transmission control, and transmission interruption had been achieved; however, there are still snail-infested habitats. High-intensity surveillance and integrated control are required to be maintained to advance the achievement of the target of schistosomiasis elimination in Jiangsu Province.

ObjectiveTo investigate the molecular mechanisms related to angiogenesis during the development and progression of diabetic retinopathy （DR）. MethodsAngiogenesis-related genes were obtained from the Gencard website and intersected with differentially expressed genes from DR datasets （GSE60436 and GSE94019）. Functional enrichment and protein-protein interaction （PPI） networks were then used to screen candidate genes and evaluate their diagnostic value. Gene set enrichment analysis （GSEA） was used to explore potential pathways underlying candidate genes， and immune infiltration analysis revealed associations between candidate genes and immune cells. Cellular experiments were conducted to validate the role of fibronectin 1 （FN1） in human retinal microvascular endothelial cells （HRMECs） under high glucose （HG） conditions. ResultsA total of 237 differentially expressed genes related to angiogenesis were identified， enriched in pathways such as phosphoinositide 3-kinase/protein kinase B signaling pathway （PI3K-Akt）， tumor suppressor protein 53 （P53）， tumor necrosis factor （TNF）， and Janus kinase （JAK）/signal transducer and activator of transcription signaling pathway （STAT）. Among them， collagen type I alpha 1 chain （COL1A1）， COL1A2， FN1， TNF， and tumor protein p53 （TP53） were key genes with high diagnostic value. GSEA indicated that these genes were involved in multiple signaling pathways， including P53. CIBERSORTx analysis revealed significant associations with the infiltration of multiple immune cells. HG treatment led to the upregulation of FN1. In HG-induced HRMECs， compared with the si-NC control group， si-FN1 significantly reduced cell proliferation， migration， and tube formation， while P53 protein expression was increased. ConclusionThis study reveals the important role of FN1 in angiogenesis in DR and suggests that it may be a potential diagnostic and therapeutic target.

BACKGROUND:Currently,there have been studies on three-dimensional digitalization and visualization systems for adult acupoints,but there are not many reports on the visualization of pediatric acupoints based on real pediatric digital sectional anatomical datasets. OBJECTIVE:To design and develop a digital three-dimensional visualization system for children's neck acupoints,to provide a basis for acupuncture and moxibustion,meridian and acupoint science teaching,clinical practice,acupuncture manipulation practice,and acupuncture safety research,and to provide a basis for the development of children's acupoint simulation system. METHODS:Based on a real cross-sectional anatomical dataset of pre-school boys,a three-dimensional digital virtual anatomical model of the neck region of children and internal multi-organ three-dimensional reconstruction were completed using PhotoShop 2021 and Digihuman Reconstruction System software.A database of 11 acupoints was compiled,including Fengfu and Fengchi,using the Unity database language.A three-dimensional model of children's neck anatomy,acupoint database,and writing acupuncture operation codes were integrated in Unity3D software.A three-dimensional digital visualization system for children's neck acupoints was successfully created,which integrated simulation acupoint positioning,three-dimensional acupoint anatomy,acupuncture training,clinical teaching,and acupuncture safety research. RESULTS AND CONCLUSION:(1)This study was based on real child specimens.Manual layer by layer segmentation of cross-sectional images was used to ensure the accuracy of the three-dimensional model to the greatest extent possible.The 3D software Digihuman Reconstruction System was utilized to extract and save independent segmentation data.PhotoShop 2021 software was collaborated with to complete dozens of three-dimensional reconstruction anatomical models of the outer skin of the neck and its internal bone structure,cervical spinal cord,blood vessels and nerves,muscles,and ligaments in children.The basic morphology and overall contour integrity verification of each independent structure were completed in MeshLab software.The 3-material research 13.0 software was applied for final fine tuning and anatomical position confirmation,successfully simulating and restoring the true anatomical morphology of the neck of preschool children.(2)Based on and referring to the national standards of the People's Republic of China,a database of commonly used acupoints in children's neck region was collected and organized,including their names,meridians,positioning,local anatomy,needle insertion levels,acupuncture methods,acupuncture accidents and prevention,acupoint indications,and two-dimensional anatomical sectional images.(3)Unity3D software was employed to integrate the three-dimensional model of children's neck,acupuncture simulation operation,and acupoint database,and a three-dimensional digital children's neck acupoint acupuncture visualization system was successfully constructed.The system displayed information on children's neck acupoints,two-dimensional and three-dimensional anatomical structures,and achieved two-dimensional and three-dimensional acupuncture simulation functions and acupuncture safety research functions for children's neck acupoints.Based on the ultra-thin sectional anatomical dataset of real child specimens,the first three-dimensional digital and visualization system for acupoints in the neck region of children had been constructed.Compared with previous acupoint acupuncture systems,it is more in line with the anatomical and morphological development characteristics of Asian children and has high application value in the fields of acupuncture safety research,clinical teaching,and acupuncture simulation training.

Objective To evaluate the diagnostic efficacy of sound touch viscoelastography(STVi)and shear wave elastography(SWE)in distinguishing between benign and malignant breast nodules.Methods A total of 104 breast nodules(52 benign and 52 malignant)from 102 patients scheduled for surgical treatment at Binzhou Medical University Hospital between October 2024 and February 2025 were prospectively enrolled.All nodules were pathologically confirmed through surgical excision or core needle biopsy.The viscosity coefficient and Young's modulus of both intranodular and perinodular tissues within a 2-mm range were measured using the Mindray Resona A20S ultrasound system.The diagnostic performance of each parameter,the correlation between elastic parameter values and the maximum nodule diameter,as well as the inter-correlation between the two parameters were systematically analyzed.Results The elasticity parameters were significantly higher in malignant nodules[maximum intranodular Viscosity coefficient(Vimax):5.93(4.33,8.47)Pa·s,maximum Young's modulus(Emax):81.18(58.31,120.33)kPa;maximum Viscosity coefficient of the surrounding 2-mm tissue(Vi2max):7.57(5.40,10.16)Pa·s,maximum Young's modulus(E2max):117.21(65.66,170.66)kPa]compared to benign nodules[Vimax:3.70(2.69,5.32)Pa·s,Emax:41.42(28.29,64.25)kPa;Vi2max:4.30(3.63,5.65)Pa·s,E2max:47.23(36.42,74.67)kPa](P<0.05).The diagnostic performance of the 2-mm perinodular tissue(Vi2max:0.78,E2max:0.81)surpassed that of intranodular tissue(Vimax:0.72,Emax:0.77)(P<0.05).The combined diagnostic model(Vi2+E2,Vi+E)achieved AUC values of 0.82 and 0.77,respectively,which outperformed STVi alone(P<0.05)and showed marginally better performance than SWE alone,although the difference was not statistically significant(P>0.05).The maximum nodule diameter showed a moderate correlation with the elasticity parameters,with E2max exhibiting the strongest correlation(r=0.510,P<0.05).Conclusions Both STVi and SWE show clinical value in distinguishing between benign and malignant breast nodules.Particularly,elasticity parameters obtained from the 2-mm perinodular tissue demonstrate better diagnostic performance than those measured within the nodule itself,and combining these parameters enhances the overall diagnostic accuracy of STVi.

Objective To explore the role of miR-1260b targeting activating transcription factor 6β(ATF6β)in osteogenic differentia-tion of human periodontal ligament stem cells(hPDLSCs).Methods The periodontal ligament tissue was scraped from the third molar extracted from the patient with periodontitis,and hPDLSCs were isolated and cultured.The proportions of positive cells of CD34,CD45,CD29,CD90 and CD105 were detected by flow cytometry,and the expression of vimentin and pan-cytokeratin were detected by immunofluo-rescence staining.The cellular luciferase activities of ATF6β-WT and ATF6β-MUT in the miR-1260b mimic+WT/MUT group(transfected with miR-1260b mimic and ATF6β-WT/MUT)and the mimic-NC group(transfected with miR-NC and ATF6β-WT/MUT)were analyzed by the dual luciferase reporter gene assay.In addition,the cells were divided into the miR-1260b mimic group(transfected with miR-1260b mimic alone),the ATF6β-OE group(transfected with the ATF6β overexpression vector alone),the combined group(transfected with miR-1260b mimic and ATF6β overexpression vector simultaneously),and the NC group(transfected with empty vector).Alizarin red S staining and alkaline phosphatase staining were performed on hPDLSCs in the NC group,the miR-1260b mimic group,the ATF6β-OE group and the combined group.Meanwhile,the mRNA expression levels of miR-1260b,ATF6β,Runt-related transcription factor 2(Runx2),osteocalcin(OCN),and osteopontin(OPN)in each group of cells were detected by qRT-PCR.The protein expressions of glucose-regulated protein 78(GRP78),C/EBP homologous protein(CHOP),and protein kinase R-like endoplasmic reticulum kinase(PERK)in each group of cells were detected by Western blot.Results The flow cytometry detection showed that CD29,CD90 and CD105 on the surface of the isolated and cultured cells were positive,while CD34 and CD45 were negative.Immunofluorescence staining showed that vimentin in the cells was positive and pan-cytokeratin was negative,which was in line with the characteristics of hPDLSCs.Luciferase assay showed that miR-1260b mimic could significantly reduce the luciferase activity of ATF6β-WT(P<0.05),but had no significant effect on the luciferase activity of ATF6β-MUT(P>0.05).After alizarin red S staining,the staining of hPDLSCs gradually deepened after 3 days,5 days and 7 days of culture,suggesting an enhanced osteogenic differentiation ability.With the enhancement of osteogenic differentiation ability of hPDLSCs,the expression of miR-1260b in the cells showed a gradually increasing trend,while the mRNA and protein expression levels of ATF6β showed a gradually decreasing trend(P<0.05).The results of alizarin red S staining and alkaline phosphatase staining showed that the proportions of positive area in the miR-1260b mimic group were higher than those in the NC group(P<0.05),while the proportions of positive area in the ATF6β-OE group and the combined group were lower than those in the NC group(P<0.05).The mRNA and protein levels of ATF6β in the miR-1260b mimic group were lower than those in the NC group(P<0.05),while the mRNA and protein levels of ATF6β in the ATF6β-OE group and the combined group were higher than those in the NC group(P<0.05).The mRNA levels of Runx2,OCN and OPN in the miR-1260b mimic group were significantly higher than those in the NC group(P<0.05).The mRNA levels of Runx2,OCN and OPN in the ATF6β-OE group and the combined group were significantly lower than those in the NC group(P<0.05).The protein expression levels of GRP78,CHOP and PERK in the miR-1260b mimic group were significantly lower than those in the NC group(P<0.05).The protein expression levels of GRP78,CHOP and PERK in the ATF6β-OE group and the combined group were significantly higher than those in the NC group(P<0.05).Conclusion miR-1260b can inhibit endoplasmic reticulum stress level and promote osteogenic differentiation of hPDLSCs by targeting ATF6β.

Objective This study aimed to investigate the efficacy of modified endoscopic autologous cartilage eustachian tube pharyngeal orifice tuboplasty(MEACETT)in patients with patulous eustachian tube(PET).Meth-ods A retrospective analysis was conducted on the clinical data of 27 patients(30 ears)diagnosed with PET who underwent MEACETT.Autologous cartilage was used through the incision at the posterior end of the inferior turbi-nate and filled into the lateral wall of the pharyngeal orifice of the eustachian tube.Without affecting the movement function of the eustachian tube during swallowing,the collapse of the pharyngeal orifice was fully filled.Before and after the surgery,the visual analogue scale(VAS),the eustachian tube dysfunction questionnaire-7(ETDQ-7)and hospital anxiety and depression scale(HADS)was used for assessment to evaluate the surgical efficacy.Results There was no significant difference in depression scores before and after surgery(P＞0.05).However,postopera-tive anxiety scores,ETDQ-7 scores,and VAS scores were significantly lower than preoperative scores(P＜0.05).Among the 27 patients,9 showed significant symptom relief,13 exhibited partial relief,and 5 had no significant change compared to preoperative symptoms.The overall response rate of the treatment(significant relief and partial relief)was 81.48％(22/27).All surgeries were successfully performed.Except for secretory otitis media occurring in 2 cases,no major complications were observed.Conclusion MEACETT demonstrates significant symptom relief in PET patients,with high surgical safety and low complication rates,making it worthy of clinical promotion.

Objective To evaluate the diagnostic efficacy of the R value in tubomanometry(TMM)for the di-agnosis of patulous eustachian tube(PET).Methods The clinical data of 58 patients with PET and 65 controls were retrospectively analyzed.TMM was performed on both groups under nasopharyngeal pressures of 30,40,and 50 mbar respectively.The diagnostic efficacy of the R value for PET was evaluated through receiver operating char-acteristic(ROC)curves.Results In the control group,the average R values under nasopharyngeal pressures of 30,40,and 50 mbar were 0.86±0.50,0.76±0.41,and 0.68±0.34 respectively.In contrast,the corresponding R values in the PET group were significantly lower,which were 0.56±0.38,0.50±0.36,and 0.46±0.38 respec-tively.According to the ROC curve analysis,the areas under the curve(AUC)at these pressures were 0.62,0.74,and 0.74 respectively.The specificity and sensitivity of the R value under nasopharyngeal pressures of 30,40,and 50 mbar were 76.90％and 54.30％,74.60％and 68.10％,86.90％and 54.30％,respectively.Under pressures of 30,40,and 50 mbar,the incidence rates of R＞1 in the control group and the PET group were 29.23％(38/130)and 12.77％(12/94)(x2=8.69,P=0.003),20.00％(26/130)and 6.38％(6/94)(x2=7.20,P=0.007),10.00％(13/130)and 3.19％(3/94)(x2=2.87,P=0.09)respectively.Conclusion Although the low R value in TMM reflects the presence of PET to some extent,it does not provide adequate sensitivity and specificity to serve as an independent diagnostic criterion for PET.