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.

Objective: To investigate the effect of phosphatase and tensin homolog(PTEN) overexpression on autophagy in mouse primary cardiac fibroblasts. Methods: Neonatal mice(1-3 days old) were purchased and subjected to cardiac tissue harvesting. Cardiac fibroblasts were isolated through enzymatic digestion and cultured. After cellular adhesion, rapamycin(Rapa)-treated cardiac fibroblasts were used to establish an autophagy model. Following successful model construction, cells were transfected with eitherPTEN-overexpressing plasmid(PTENoverexpression group) or empty vector(control group), followed by 24-48 h incubation. The molecular expressions of PTEN, autophagy-related proteins [microtubule-associated protein light chain 3(LC3Ⅱ/Ⅰ), Beclin1], and fibrotic marker collagen Ⅰ were detected by Western blot and RT-qPCR. Autophagic flux was assessed using mCherry-GFP-LC3 fluorescence staining to evaluate changes in autophagic activity. Transmission electron microscopy(TEM) was employed to observe autophagosome formation in cardiac fibroblasts. Results : In the Rapa-induced cardiac fibroblast autophagy model, compared with the control group, the protein and mRNA levels of PTEN significantly decreased(P<0.05), while the expression of autophagy-related proteins(LC3Ⅱ/Ⅰ, Beclin1) and fibrotic marker Collagen Ⅰ was upregulated at both protein and mRNA levels(P<0.05). Additionally, in PTEN-overexpressing cardiac fibroblasts, the expression levels of LC3Ⅱ/Ⅰ, Beclin1, and Collagen Ⅰ were markedly reduced compared to the empty vector group(P<0.05). mCherry-GFP-LC3 fluorescence staining demonstrated that autophagic activity was significantly attenuated in thePTENoverexpression group versus the empty vector group(P<0.05). TEM further revealed a decreased number of autophagosomes in PTEN-overexpressing cardiac fibroblasts(P<0.05). Conclusion The overexpression ofPTENsignificantly inhibits autophagy in cardiac fibroblasts, suggesting thatPTENmay be a key gene involved in regulating autophagy in cardiac fibroblasts.

Objective:To discuss the promotive effect of Shengji Yuhong Ointment extract(SYOE)on skin wound healing of zebrafish,and to clarify its mechanism.Methods:A total of 320 wild-type AB strain zebrafish were used to establish a wound model by making an incision on the lateral abdomen.The zebrafish were randomly divided into control group,low dose of SYOE group(raised in water containing 0.625 mg·L-1 SYOE),high dose of SYOE group(raised in water containing 1.250 mg·L-1 SYOE),and allantoin group(raised in water containing 1.000 mng·L-1 allantoin),and there were 80 zebrafish in each group.The wound areas were recorded by photographs on days 7,14,and 21 after injury,and the wound healing rates were calculated.The skin tissue samples from the wound sites of the zebrafish in various groups were collected at different time points to prepare histological sections.HE staining was used to observe the widths of skin wound edges of the zebrafish on days 0,7,14,and 21 in various groups;Sirius red staining was used to detect the collagen levels in the wound tissues of the zebrafish on days 2,4,6,and 8 after injury in various groups;enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of type Ⅰ collagen(Col Ⅰ)and α-smooth muscle actin(α-SMA)in the wound tissues on day 4 after injury;real-time quantitative PCR(RT-qPCR)was used to analyze the mRNA expression levels of Col Ⅰ-encoding genes(col1a1a,col1a1b,and col1a2)and α-SMA as wall as key factors of the transforming growth factor β(TGF-β)/Smad signaling pathway(tgfb1a,smad2,and smad3a)in the wound tissues of the zebrafish in various groups on day 4 after injury.Results:The wound healing assessment results showed that compared with control group,the wound healing rates of the zebrafish in low dose of SYOE group,high dose of SYOE group,and allantoin group were significantly increased on days 7,14,and 21 after injury(P＜0.05 or P＜0.01);the wound healing rate in high dose of SYOE group achieved 84％on day 21.The HE staining results showed that compared with control group,the widths of skin wound edges of the zebrafish in low dose of SYOE group,high dose of SYOE group,and allantoin group were significantly decreased on days 14 and 21 after injury(P＜0.05 or P＜0.01).The Sirius red staining results showed that compared with control group,the collagen levels in the skin wound tissue of the zebrafish in low dose of SYOE group,high dose of SYOE group,and allantoin group were significantly increased on days 6 and 8 after injury(P＜0.01).The ELISA results showed that on day 4 after injury,compared with control group,the levels of Col Ⅰ and α-SMA in the skin wound tissue of the zebrafish in low dose of SYOE group,high dose of SYOE group,and allantoin group were significantly increased(P＜0.05 or P＜0.01).The RT-qPCR results showed that on day 4 after injury,compared with control group,the expression levels of col1a1b,col1a2,α-SMA,tgfb1a,and smad2 mRNA in the skin wound tissue of the zebrafish in low dose of SYOE group were significantly increased(P＜0.05 or P＜0.01),while the expression levels of col1a1a,col1a1b,col1a2,α-SMA,tgfb1a,smad2,and smad3a mRNA in the skin wound tissue of the zebrafish in high dose of SYOE group and allantoin group were significantly increased(P＜0.01).Conclusion:SYOE can increase the collagen deposition in skin wound of zebrafish,promote wound healing,and upregulate the expression of genes related to the TGF-β/Smad signaling pathway.

Objective:To investigate the application value of 72-hour three-lead electrocardiogram(ECG)monitoring with adhesive patch(AP)in patients with palpitation.Methods:A retrospective analysis was performed for the medical history and ECG data of the patients who underwent 72-hour three-lead ECG monitoring with AP due to palpitation in The First Affiliated Hospital of Chongqing Medical University.The incidence rates of arrhythmia and transient ST-T changes were compared at 24 and 72 hours,as well as the rate difference between the detection rate of arrhythmia and transient ST-T changes at 72 hours and the detection rate at 24 hours in the context of various risk factors such as age,hypertension,hyperlipidemia,and coronary heart disease.Results:Among the 216 pa-tients with palpitation,the detection rates of various types of arrhythmia and transient ST-T changes at 72 hours were significantly higher than those at 24 hours(P<0.05).The rate difference of atrial premature beats in patients aged<60 years was significantly higher than that in patients aged≥60 years(P<0.01).The rate difference of atrial premature beats in hypertensive patients was lower than that in non-hypertensive patients(P<0.05).The rate difference of T-wave changes in patients without hypertension or coronary heart dis-ease was greater than that in patients with hypertension or coronary heart disease(P<0.01).Compared with 24-hour three-lead ECG monitoring,72-hour three-lead ECG monitoring with AP can significantly improve the detection rate of arrhythmia and transient ST-T changes.In patients with palpitation aged<60 years or without hypertension,72-hour three-lead ECG monitoring with AP is more sen-sitive to atrial premature beats which are consistent with self-perceived symptoms,and in patients with palpitation without hyperten-sion or coronary heart disease,72-hour three-lead ECG monitoring with AP is more sensitive to transient T-wave changes associated with symptoms.Conclusion:The technique of 72-hour three-lead ECG monitoring with AP greatly promotes the accuracy and timeli-ness of diagnosis,reduces the economic burden of patients with pal-pitations,and optimizes the allocation of medical resources.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Objective To assess the potential role of disulfidptosis-related genes (DRGs) in pan-cancer on prognosis and immunity on the basis of bioinformatics approaches. Methods Pan-cancer RNA-seq data, mutation profiles, clinical information, TMB, MSI, stemness scores, and tumor and immune microenvironment data contained in TCGA and various open-source online databases, and multi-group R-language algorithms were used for comprehensive analysis. The expression levels of DRGs at the cellular level were experimentally validated using qPCR. Results LRPPRC, NCKAP1, NDUFS1, and NUBPL had a better prognosis in renal clear cell carcinoma (P<0.001), whereas SLC7A11, NCKAP1, and SLC3A2 had a worse prognosis in hepatocellular carcinoma (P<0.001). TME analysis showed that LRPPRC was negatively correlated with immune cells, stromal cells, and estimated scores in all tumor types. TMB analysis revealed the potential research value of DRGs for PD-1/PD-L1 therapy in pan-cancer. Drug sensitivity analysis showed that SLC7A11 (r=0.454), SLC3A2 (r=0.366), and NCKAP1 (r=0.455) were significantly associated with Kahalide F (P<0.01). Experimental validation demonstrated the overall higher expression levels of GYS1 and NCKAP1 than normal cells in lung adenocarcinoma, colon adenocarcinoma, esophageal squamous carcinoma, and hepatocellular carcinoma (P<0.05). Conclusion Pan-cancer analysis of DRGs indicates that DRGs may serve as important biomarkers for the diagnosis and prognosis of renal clear-cell carcinoma, lung adenocarcinoma, and hepatocellular carcinoma.

Objective To systematically evaluate and integrate qualitative studies on perception of exercise behaviors in community-dwelling older adults with frailty,and to provide references for clinical development of targeted exercise intervention strategies.Methods A systematic search of PubMed,Medline,Embase,PsycINFO,the Cochrane Library,SinoMed,Wanfang Database,CNKI,and VIP Database for qualitative studies on perception of exercise behaviors in older adults with frailty in the community was conducted from the inception of the databases to June 2024.Literature quality was evaluated using the Australian Joanna Briggs Institute Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research(2016 edition),and Meta-synthesis was performed using the theme synthesis method.Results A total of 10 papers were included,grouped into 10 categories and integrated into the 3 domains of the capability,opportunity,and motivation-behavior model(COM-B model),i.e.Preparation for exercise behavior is influenced by capability factors(physical reserve,knowledge reserve,psychological preparation);stage-specific motivational evolution promotes the internalization of exercise behavior(guiding,focusing,stimulating,and maintaining);external conditions provide opportunities for exercise behavior(individual interaction,community environment,and social support).Conclusion Perceptions of exercise behavior among community-dwelling older adults with frailty or are complex and influenced by a variety of factors.Future exercise intervention strategies should consider modifiable factors,enhance knowledge education,stimulate intrinsic motivation,and solidify external conditions,while also accommodating individual differences and preferences,so as to promote exercise participation and health enhancement in this group.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

This paper comprehensively discusses the impact of obesity on female fertility, oocyte quality, early embryonic development, and assisted reproductive technology (ART), and evaluates the relationship between obesity and pregnancy complications, proposing corresponding prevention and treatment strategies. Studies have shown that obesity adversely affects oocyte quality through chronic inflammation, oxidative stress, and disruption of metabolic pathways, including meiotic defects, mitochondrial dysfunction, and epigenetic alterations. Obesity also affects early embryonic development, potentially leading to placental dysfunction and restricted fetal growth. In the field of ART, obese women face more challenges, such as increased risk of gestational diabetes and decreased success rates of in vitro fertilization. Additionally, obesity is associated with an increased risk of various pregnancy complications, including hypertensive disorders of pregnancy, gestational diabetes, preterm birth, and cesarean section. This paper emphasizes the importance of preconception and prenatal weight management and proposes strategies to improve the fertility of obese women through lifestyle changes, pharmacological treatment, and surgical intervention. Ultimately, this thesis provides personalized recommendations for the reproductive health of obese women to improve fertility and pregnancy outcomes, ensuring the health status of both mother and child.