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）］

ObjectiveTo evaluate the efficacy and possible mechanism of Wei's Huoxue Tongluo Formula （韦氏活血通络方，WHTF） in treating atrophic-stage non-arteritic anterior ischemic optic neuropathy （NAION） with qi deficiency and blood stasis. MethodsA total of 82 atrophic-stage NAION patients with qi deficiency and blood stasis were randomly divided into a treatment group and a control group， with 41 cases in each group. The treatment group was given oral administration of WHTF twice a day plus acupoint injection of distilled water 2 ml at Taiyang （EX-HN5） once daily， while the control group received injection of compound anisodine injection 2 ml at Taiyang （EX-HN5） once daily and oral administration of WHTF placebo twice a day. Both groups received treatment for a course of 14 days. The best-corrected visual acuity （BCVA）， optic disc perfusion density （PD）， flux index （FI）， macular superficial PD， vascular density （VD）， and traditional Chinese medicine （TCM） syndrome scores were compared between groups before treatment and on day 7 and day 14 of treatment. Additionally， mean defect （MD） and mean sensitivity （MS） of visual fields were measured before treatment and on day 14， along with safety evaluation. ResultsAfter treatment， both groups showed significant improvement in BCVA， visual field MD and MS， and TCM syndrome scores （P＜0.05 or P＜0.01）. On day 14 of treatment， the TCM syndrome score in the treatment group was significantly lower than that in the control group （P＜0.05）. There was no significant improvement in optic disc PD and FI， and macular superficial PD and VD after treatment in either group （P＞0.05） except that on day 7 the macular superficial foveal PD in the control group was significantly better than that in the treatment group （P＜0.05）. During the treatment period， no serious adverse events occurred in either group. ConclusionWHTF can improve the visual function indicators including visual acuity and visual field， as well as TCM syndrome scores in atrophic-stage NAION patients with qi deficiency and blood stasis. It shows clinical safety， although it does not appear to have a significant effect on optic disc or macular blood flow.

ObjectiveTo analyze the output and efficiency of chronic disease management services for hypertension and diabetes in community health service institutions in Shanghai, to evaluate the allocation and efficiency of chronic disease management resources, and to provide references for improving the efficiency of chronic disease management in Shanghai’s communities. MethodsA total of 73 community health institutions from 15 districts of Shanghai were selected. Based on the chronic disease management resource data of community health institutions in 2019, 2021, and 2023, descriptive methods and the BCC model in Data Envelopment Analysis (DEA) were used to analyze the resource allocation, service output, and the efficiency of chronic disease management services in community health institutions in Shanghai. ResultsFrom 2019 to 2023, the indicators of resource allocation and service output of community health service institutions in Shanghai all showed upward trends. In terms of service efficiency, the average number of chronic disease patients managed by each health technician decreased from 237 to 231, and the number of patients served per 1 000 working hours decreased from 54 to 44. DEA efficiency analyses showed that the average overall efficiency increased from 0.867 in 2019 to 0.886 in 2021 and then decreased to 0.811 in 2023. The average technical efficiency decreased from 0.901 to 0.847, which was the main reason for the decline in overall efficiency. The average scale efficiency showed an initial increase followed by a decrease, rising from 0.961 in 2019 to 0.977 in 2021 and dropping back to 0.955 in 2023. The number of strong effective districts (overall efficiency=1.000) decreased from 6 in 2019 to 3 in 2023, and the efficiency differences between districts expanded. The range of overall efficiency widened from 0.622‒1.000 to 0.513‒1.000, indicating a decline in overall efficiency and an increase in inter-district heterogeneity. ConclusionFrom 2019 to 2023, the total volume of resource allocation and service output for chronic disease management in community health service institutions in Shanghai increased continuously. However, both the service output efficiency and the overall resource allocation efficiency declined, driven primarily by a decrease in technical efficiency, and accompanied by widening inter‑district disparities.

Objective: To investigate the longitudinal associations between dietary patterns in early childhood and myopia among children, so as to provide evidence for improving early childhood dietary patterns and promoting healthy ocular development among children. Methods: Participants were derived from the Ma-anshan Birth Cohort (MABC). A total of 1 432 children were included. Dietary patterns at 2.5 years of age were collected in 2017 using a food frequency questionnaire completed by parents. In 2022, cycloplegic refraction and ocular biometric parameters were measured in children aged 7-8 years. Food components were grouped into tertiles ( T1-T 3), and latent class analysis (LCA) was used to identify dietary pattern at the age of 2.5. Log-binomial regression and multiple linear regression model were applied to examine the associations of dietary patterns and their latent classes with myopia, spherical equivalent (SE), and axial length (AL). Results: The prevalence of myopia among children was 23.9%. After adjusting for covariates, the T 2 group of cereals and tubers was negatively associated with myopia rate ( RR=0.72, 95%CI =0.57-0.90) and AL ( β=-0.15, 95%CI =-0.24 to -0.05), and positively associated with SE ( β=0.21, 95%CI =0.06-0.35)(all P ＜0.05). Linear regression models showed that the T 2 group of fruits and vegetables was positively associated with AL ( β=0.09, 95%CI =0.00- 0.19 ); the T 3 group of high sugar foods ( β=0.11, 95%CI =0.00-0.21) and the T 3 group of processed foods ( β= 0.10 , 95%CI =0.00-0.19) were positively associated with AL; total scores for high sugar foods ( β=0.07, 95%CI =0.00-0.14) and processed foods ( β=0.09, 95%CI =0.01-0.17) were positively associated with AL (all P <0.05). After adjusting for sex, age, and parental myopia, the comprehensive high intake pattern was positively associated with AL ( β=0.12, 95%CI =0.00-0.23, P <0.05). After further adjusting for daily screen time and daily outdoor activity time, the association was no longer statistically significant ( β= 0.11 , 95%CI =-0.00-0.23, P >0.05). Conclusions Moderate consumption of cereals and tubers in early childhood may reduce the risk of myopia and delay AL growth. In contrast, high sugar and highly processed diets may promote AL and increase myopia risk. Establishing healthy dietary habits in early childhood and limiting intake of high sugar and processed foods is crucial for promoting ocular development in children.

ObjectiveTo observe the clinical efficacy and safety of Yanghe Xiaonang Decoction （阳和消囊汤， YXD） in the treatment of polycystic ovarian syndrome （PCOS）-related infertility with healthy qi deficiency and phlegm stasis syndrome. MethodsA total of 120 PCOS-related infertility participants with healthy qi deficiency and phlegm stasis syndrome were randomly divided into a treatment group and a control group in a 1∶1 ratio， with 60 cases in each group. The treatment group started taking YXD on the first day of the menstrual cycle， one dose daily， until the day of sexual intercourse when follicles matured and were released. Those without mature follicles or ovulation could take it until the 14th to 28th day. The control group was given oral letrozole at 2.5 mg daily starting on the 5th day of the menstrual cycle for 5 consecutive days. If the basal body temperature curve remained monophasic on the 28th day of the menstrual cycle， and no dominant follicle was detected by color Doppler ultrasound， estrogen plus progesterone or progesterone alone was administered for withdrawal bleeding， followed by a new treatment cycle. The treatment lasted for three consecutive menstrual cycles. Patients were followed up for 3 months upon confirmed pregnancy or after the completion of the 3rd treatment cycle. The clinical pregnancy rate， total effective rate， pregnancy rate， biochemical pregnancy rate， embryonic arrest rate， and ectopic pregnancy rate between the two groups were compared. Transvaginal color Doppler ultrasound was used for monitoring endometrial thickness， cyclic ovulation status， number of follicles between 2-9 mm， and the difference in transverse and longitudinal diameters of dominant follicles. The levels of endocrine hormone indicators including serum testosterone （T）， prolactin （PRL）， luteinizing hormone （LH）， follicle-stimulating hormone （FSH）， progesterone （P）， estradiol （E₂）， free testosterone （F-T）， androstenedione （ASD）， inhibin B （INH-B）， and anti-Müllerian hormone （AMH）， as well as the total traditional Chinese medicine （TCM） symptom scores before and after treatment were compared between the two groups. ResultsA total of 58 patients in each group were included in the statistical analysis. The clinical pregnancy rate in the treatment group was 39.66% （23/58）， higher than 22.41% （13/58） in the control group （P＜0.05）. The total effective rate in the treatment group was 96.55% （56/58）， higher than 79.31% （46/58） in the control group （P＜0.05）. The biochemical pregnancy rate and embryonic arrest rate in the treatment group were lower than those in the control group （P＜0.05）. The treatment group was superior to the control group in increasing endometrial thickness and reducing the number of 2-9 mm follicles at the 2nd and 3rd cycles， as well as in improving the cyclic ovulation status and the difference in transverse and longitudinal diameters of dominant follicles at the 3rd cycle （P＜0.05）. After treatment， the treatment group exhibited significant reductions in serum T， LH， F-T， ASD， INH-B， and AMH levels （P＜0.05）. The control group also showed significant decreases in LH， F-T， INH-B， and AMH levels （P＜0.05）. The levels of F-T， INH-B， and AMH in the treatment group after treatment were lower than those in the control group （P＜0.05）. The improvement of the total TCM symptom score in the treatment group was superior to that in the control group （P＜0.05）. ConclusionYXD can significantly improve the clinical pregnancy rate， reduce the rates of biochemical pregnancy and embryonic arrest， alleviate clinical symptoms， increase endometrial thickness， enhance dominant follicles， and improve endocrine hormone levels in PCOS-related infertility with healthy qi deficiency and phlegm stasis syndrome， showing good safety.

Objective To investigate the influencing factors of advanced bone age in early adolescence, and to provide a scientific basis for the early identification of children and adolescents with abnormal bone age development. Methods A prospective cohort study design was adopted. From July 2022 to September 2023, height, weight, and body composition data of children were collected, with the baseline age of the study participants being 8.42±0.50 years. Subsequently, from March 2024 to November 2025, these children in the cohort were followed up and their bone age development was monitored. In the end, a total of 1142 participants with complete data were included in the study. Results In early adolescence, there were 239 individuals (20.93%) with early bone age development and 103 (9.02%) with delayed development. The proportion of early bone age development was higher among individuals whose mothers had gestational hypertension during pregnancy, and the difference was statistically significant (χ²=8.90, P<0.05). The proportion of early bone age development was higher among boys, and the difference was statistically significant (χ²=41.69, P＜0.001). Disordered multiclass logistic regression analysis showed that after adjusting for demographic factors, overweight (OR=2.65, 95%CI:1.81-3.88), obesity (OR=6.51, 95%CI: 4.45-9.53), and excessive body fat percentage (OR=4.60, 95% CI: 3.01-7.03) were associated with an increased risk of early bone age development in children and adolescents. Conclusion Being overweight/obese and having an excessive body fat percentage can increase the risk of early bone age development in adolescents.

Enhancer-promoter communication is fundamental to the spatial and temporal control of gene expression. Cohesin-mediated loop extrusion has long been considered a major structural mechanism that brings distal regulatory elements into proximity with their target promoters. Recent findings from Aboreden et al. refine this view by showing that depletion of Nipped-B-like protein (NIPBL), a key regulator of cohesin loading and loop extrusion, markedly disrupts architectural chromatin loops, whereas many cis-regulatory contacts and broad post-mitotic transcriptional reactivation are only modestly affected. These observations suggest that loop extrusion is important, but not sufficient, for explaining productive regulatory communication. In this Comment, we discuss how transcriptional condensate-like assemblies may provide an additional biochemical and kinetic layer that helps convert regulatory proximity into transcriptional output. By locally enriching transcription factors, coactivators, mediator and RNA polymerase II(Pol II) around active loci, such regulatory hubs may stabilize productive enhancer-promoter encounters and modulate transcriptional activity. We further propose that transcriptional bursting provides a useful framework for understanding this conversion, because gene expression can be decomposed into burst frequency, burst duration and burst size. Integrating chromatin architecture, condensate organization and bursting dynamics may therefore provide a more complete view of how enhancer-promoter communication is re-established after mitosis and how regulatory proximity is converted into transcriptional output through mechanisms beyond loop extrusion.

ObjectiveTo develop and evaluate an O-RADSbased multiparametric model integratingcontrast-enhanced US （CEUS） and the z-score standardized risk of ovarian malignancy algorithm （ROMA z-score） to improve the diagnostic accuracy for differentiating benign， borderline， and malignant ovarian epithelial tumors （OETs）. MethodsThis retrospective study included 129 patients with pathologically confirmed OETs between May 2018 and December 2024. Clinical variables （age， menopausal status， BMI， HE4， CA125） and sonographic features （conventional US and CEUS） were collected. Tumors were classified as benign， borderline， or malignant according to pathological findings. A random forest algorithm was used to contruct the predictive model. Receiver operating characteristic （ROC） curves were generated tocompare the diagnostic performance of O-RADS， O-RADS+CEUS， O-RADS+ROMA z-score， and O-RADS+ CEUS+ROMA z-score. ResultsAmong the 129 patients， 63 had benign tumors， 25 had borderline tumors， and 41 had malignant tumors. Compared with O-RADS alone， the combined O-RADS+CEUS+ROMA z-score model demonstrated superior diagnostic performance， with an AUC of 0.87 （95% CI： 0.79-0.95） vs. 0.64 （95% CI： 0.51-0.76）， P＜0.001， for differentiating benign from borderline tumors， and 0.90 （95% CI： 0.83-0.97） vs. 0.64 （95% CI： 0.50-0.78）， P＜0.001， for differentiating borderline from malignant tumors. The random forest analysis identified HE4， CA125 and CEUS features as the most important predictors，contributing 11.02， 8.82， 18.1 points， respectively， to the total importance score of 51.94. In the test cohort， the model achieved an overall diagnostic accuracy of 72.97%， with an AUC of 0.89（95%CI：0.77-1.00）， sensitivity of 67.06%， and specificity of 85.01%. ConclusionsO-RADS+CEUS+ROMA z-score multiparametric model demonstrated the highest diagnostic performance for in differentiating benign from borderline and borderline from malignant OETs. HE4， CA125 and CEUS features were identified as key predictive risk factors， supporting the role of this model in improving preoperative risk stratification of OETs.

Objective To explore the diagnosis and treatment strategies for elderly patients with ground-glass opacity (GGO). Methods The imaging features and postoperative pathological findings of the elderly patients with pulmonary GGO receiving surgery in our hospital from 2017 to 2019 were retrospectively analyzed. The patients were divided into an elderly patient group and a non-elderly patient group based on their age. Results Finally 575 patients were included in the study. There were 281 elderly patients, including 83 males and 198 females, with an average age of (67.0±5.3) years. There were 294 non-elderly patients, including 88 males and 206 females, with an average age of (49.1±7.3) years. Compared with the non-elderly patients, elderly GGO patients showed the following distinct clinical features: long observation time for lesions (P=0.001), high proportion of rough edges of GGO (P<0.001), significant pleural signs (P＜0.001) and bronchial signs (P＜0.001), and high proportion of type Ⅱ-Ⅳ GGO (P<0.001), lobectomy type (P=0.013), and invasive lesions reported in postoperative pathology (P<0.001). There was no statistical difference in the average hospital stay between the two groups (P=0.106). Multivariate logistic regression analysis showed that GGO diameter and GGO type were the main factors affecting the operation. Observation time, GGO diameter, GGO type and pleural signs were the main influencing factors for postoperative pathological infiltrative lesions. The cut-off value of GGO diameter in predicting infiltrating lesions was 10.5 mm in the elderly patients group. Conclusion The size and type of GGO are important factors in predicting invasive lesions and selecting surgical methods. Elderly patients with radiographic manifestations of type Ⅱ-Ⅳ GGO lesions with a diameter greater than 10.5 mm should be closely followed up.