1.Regulatory mechanisms of exosome secretion and its application prospects in biomedicine
Ruyue LYU ; Lulu GU ; Qian LIU ; Siyi ZHOU ; Beibei LI ; Letian XUE ; Peng SUN
Chinese Journal of Tissue Engineering Research 2026;30(1):184-193
BACKGROUND:Exosomes,as a type of extracellular vesicle,have become a key medium for cell-to-cell communication due to their nanoscale size and enrichment of various bioactive substances.The study of exosome secretion regulation not only has important scientific value,but also has broad application prospects in clinical practice,and is of great significance for promoting medical progress and improving human health.OBJECTIVE:To review the biological characteristics,biological functions,biogenesis process and biochemical regulation mechanism of exosomes,and to explore the application prospects of exosomes in disease diagnosis,treatment and vaccine development,so as to provide theoretical basis and reference for basic research and clinical transformation of exosomes.METHODS:The first author searched PubMed and CNKI databases in October 2024 for relevant literature published from January 2010 to October 2024.Key words were"exosomes,biological functions,biogenesis,secretion or release,regulatory mechanisms,application prospects"in Chinese and English.Finally,92 articles were included for analysis.RESULTS AND CONCLUSION:The secretion level of exosomes can be regulated through physical or biochemical means.Exosomes show broad application prospects in the fields of disease diagnosis,treatment,and vaccine development,and may play a key role in the treatment of cardiovascular and cerebrovascular diseases as well as cancer.This review provides valuable information for the clinical translation and application research of exosomes,helping to promote future progress in exosome research and application.
2.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
3.Regulatory mechanisms of exosome secretion and its application prospects in biomedicine
Ruyue LYU ; Lulu GU ; Qian LIU ; Siyi ZHOU ; Beibei LI ; Letian XUE ; Peng SUN
Chinese Journal of Tissue Engineering Research 2026;30(1):184-193
BACKGROUND:Exosomes,as a type of extracellular vesicle,have become a key medium for cell-to-cell communication due to their nanoscale size and enrichment of various bioactive substances.The study of exosome secretion regulation not only has important scientific value,but also has broad application prospects in clinical practice,and is of great significance for promoting medical progress and improving human health.OBJECTIVE:To review the biological characteristics,biological functions,biogenesis process and biochemical regulation mechanism of exosomes,and to explore the application prospects of exosomes in disease diagnosis,treatment and vaccine development,so as to provide theoretical basis and reference for basic research and clinical transformation of exosomes.METHODS:The first author searched PubMed and CNKI databases in October 2024 for relevant literature published from January 2010 to October 2024.Key words were"exosomes,biological functions,biogenesis,secretion or release,regulatory mechanisms,application prospects"in Chinese and English.Finally,92 articles were included for analysis.RESULTS AND CONCLUSION:The secretion level of exosomes can be regulated through physical or biochemical means.Exosomes show broad application prospects in the fields of disease diagnosis,treatment,and vaccine development,and may play a key role in the treatment of cardiovascular and cerebrovascular diseases as well as cancer.This review provides valuable information for the clinical translation and application research of exosomes,helping to promote future progress in exosome research and application.
4.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
5.Effect of repetitive peripheral magnetic stimulation combined with upper limb intelligent robot training on upper limb function in children with unilateral spastic cerebral palsy
Mingdi LI ; Yin WANG ; Hewei ZHANG ; Mei HE ; Hongliang HUO ; Qin GU ; Guanjun LIANG
Chinese Journal of Rehabilitation Theory and Practice 2026;32(5):588-596
ObjectiveTo investigate the effect of repetitive peripheral magnetic stimulation (rPMS) combined with upper limb intelligent robotic training on muscle tension, motor function and cortical excitability in children with unilateral spastic cerebral palsy (USCP). MethodsFrom March, 2023 to December, 2024, 90 children with USCP admitted to Children's Hospital of Soochow University were selected and randomly divided into control group (n = 30), rPMS group (n = 30) and combined group (n = 30). The control group received conventional occupational therapy. The rPMS group received rPMS intervention followed by conventional occupational therapy. The combined group received rPMS followed by upper limb intelligent robot training, for four weeks. Before and after treatment, muscle tension of biceps brachii was assessed using the modified Ashworth Scale (MAS); upper limb motor function was evaluated using the Fugl-Meyer Assessment-Upper Extremity (FMA-UE) and upper limb intelligent parameters; and cortical excitability was measured using transcranial magnetic stimulation (TMS), including resting motor threshold (RMT) and motor-evoked potential (MEP) amplitude of the affected hemisphere. ResultsAfter treatment, MAS grades improved in all groups (|Z| > 3.523, P < 0.001), and the improvement in the combined group was superior to that in the control group (P < 0.05). Significant intra-group (F > 65.21, P < 0.001), inter-group (F > 17.94, P < 0.001) and interaction effects (F > 5.36, P < 0.01) were observed in FMA-UE scores, upper limb intelligent parameters and TMS parameters. Post Hoc analysis showed that the combined group demonstrated significantly greater improvements in FMA-UE scores, upper limb intelligent parameters, and TMS parameters compared with both the control and rPMS groups (all P < 0.01). Except for FMA-UE scores, the rPMS group showed significantly greater improvements than the control group in upper limb intelligent parameters (mechanical feedback, trajectory, and range of motion) and TMS parameters (RMT and MEP amplitude) (P < 0.05). ConclusionrPMS combined with upper limb intelligent robotic training can reduce upper limb muscle tension, improve motor function, and enhance cortical excitability in children with USCP.
6.A study on the preparation of a BGN-loaded thermosensitive adhesive and its performance in barrier membrane fixation
WANG Yuzhu ; GU Junting ; LI Zhiting ; BAI Que ; DANG Gaopeng ; WANG Yifei ; SUN Xiaotang ; NIU Lina ; FANG Ming
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(1):41-53
Objective:
To investigate the barrier membrane fixation performance and enhanced guided bone regeneration (GBR) capability of a thermosensitive adhesive containing bioactive glass nanoparticles in order to provide a novel solution for membrane fixation during GBR procedures.
Methods:
M2NP@BGN (methoxyethyl acrylate-co-N-isopropylacrylamide-co-protocatechuic acid@Bioactive glass nanoparticle), a thermosensitive adhesive, was synthesized via free radical polymerization by compositing methoxyethyl acrylate, N-isopropylacrylamide, and protocatechuic acid into a basic adhesive that was modified with bioactive glass nanoparticle (BGN). The successful fabrication of basic adhesive M2NP was characterized by attenuated total reflection-Fourier transform infrared spectroscopy and nuclear magnetic resonance spectroscopy. The thermosensitive adhesive M2NP@BGN (BGN concentration of 1 mg/mL) was characterized by scanning electron microscopy and a rheometer. By adjusting the BGN concentration (0.1 mg/mL, 0.5 mg/mL, 1 mg/mL, and 2 mg/mL), the adhesive and mechanical strengths were investigated with a universal testing machine. Biocompatibility was evaluated with a cell counting kit-8 assay and hemolysis test to identify the optimal formulation. The optimal material’s extract was co-cultured with mouse bone marrow mesenchymal stem cells, and its osteogenic activity was examined in vitro by quantitative real-time PCR, alkaline phosphatase, and alizarin red S staining. The rat mandibular defect model was established, filled with bone graft, and divided into 3 groups based on membrane fixation method: M2NP@BGN (BGN concentration of 1 mg/mL) fixation group (M2NP@BGN), titanium nail fixation group (Nail), and unfixed control group (Negative). Bone regeneration was analyzed after 8 weeks by micro computed tomography and histological staining.
Results:
M2NP@BGN (BGN concentration of 1 mg/mL) was successfully synthesized and demonstrated rapid gelation under warm, humid conditions. The adhesive with a BGN concentration of 1 mg/mL exhibited the highest adhesive strength (P < 0.001) and significantly enhanced mechanical strength (P < 0.001) under 37℃ wet conditions. All formulations showed excellent biocompatibility, with cell viability > 80% and hemolysis ratio < 5%. M2NP@BGN (BGN concentration of 1 mg/mL) significantly upregulated the expression of Runx2 and Col I (P < 0.001) and enhanced the activity of osteogenic differentiation markers (P < 0.05). In the animal model, the M2NP@BGN group (BGN concentration of 1 mg/mL) achieved significantly higher bone volume fraction and better bone maturity compared to the negative and nail groups (P < 0.05).
Conclusion
M2NP@BGN (BGN concentration of 1 mg/mL) combines excellent wet adhesion with potent osteogenic activity, enhances the bone augmentation efficacy of membranes, and presents a novel fixation strategy with significant clinical translation potential for GBR therapy.
7.Mechanism of Yueju Wan in Treatment of Functional Dyspepsia Based on Regulation of 5-HT Signaling Pathway
Haoran SHEN ; Yaru GU ; Muqing ZHANG ; Zhikuo DONG ; Xingxing GAO ; Dantong LI ; Ying GU ; Yixin ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):20-28
ObjectiveTo investigate the effects of Yueju Wan on the 5-hydroxytryptamine (5-HT) signaling pathway in rats with functional dyspepsia (FD) and to explore its therapeutic mechanism in the treatment of FD. MethodsSixty Sprague-Dawley (SD) rats were randomly divided into a normal group, model group, mosapride group (1.575 mg·kg-1), and Yueju Wan low-, medium-, and high-dose groups (0.735, 1.47, and 2.94 g·kg-1, respectively). The FD rat model was established using GUO's tail-clamping stimulation combined with irregular feeding. After 14 days of modeling, rats were administered the corresponding drugs by gavage for 28 days. After treatment, gastric emptying rate and small intestinal propulsion rate were measured. Serum levels of 5-HT, tryptophan hydroxylase (TPH), and substance P (SP) were detected by enzyme-linked immunosorbent assay (ELISA), and acetylcholine (ACh) levels were determined by chemical methods. Histopathological changes in the gastric antrum were observed using hematoxylin-eosin (HE) staining. Real-time quantitative polymerase chain reaction (Real-time PCR) and Western blot were used to assess the mRNA and protein expression levels of 5-hydroxytryptamine 4 receptor (5-HT4R), SP, and acetylcholinesterase (AChE) in colon tissue, as well as 5-hydroxytryptamine 3 receptor (5-HT3R), SP, and AChE in hypothalamic tissue. Immunohistochemistry (IHC) was used to examine the expression of 5-HT and 5-HT4R in the colon and 5-HT and 5-HT3R in the hypothalamus. ResultsCompared with the normal group, the gastric emptying rate and small intestinal propulsion rate in the model group were significantly decreased (P<0.01). Serum levels of 5-HT, SP, ACh, and TPH were significantly reduced (P<0.01). Histopathological examination revealed irregular arrangement of glands in the gastric antrum, slight mucosal atrophy, and mild inflammatory cell infiltration. The mRNA and protein expression levels of 5-HT4R, SP, and AChE in colon tissue, as well as 5-HT3R, SP, and AChE in hypothalamic tissue, were significantly decreased (P<0.01), and 5-HT protein expression in both the colon and hypothalamus was also significantly reduced (P<0.01). Compared with the model group, all Yueju Wan groups showed significantly increased gastric emptying rate and small intestinal propulsion rate (P<0.01). The glands in the gastric antrum were more regularly arranged, with no inflammatory cell infiltration observed. Serum levels of 5-HT, SP, ACh, and TPH were significantly increased (P<0.01). The mRNA and protein expression levels of 5-HT4R, SP, and AChE in colon tissue and 5-HT3R, SP, and AChE in hypothalamic tissue were significantly upregulated (P<0.05, P<0.01), and 5-HT protein expression in both the colon and hypothalamus was significantly increased (P<0.01). ConclusionYueju Wan has preventive and therapeutic effects on FD, and its mechanism may be related to regulation of the 5-HT signaling pathway, promotion of brain-gut peptide secretion, and enhancement of gastric motility.
8.Mechanistic study on ITGA6 regulation of abdominal wall endometriosis via the PI3K/AKT signaling pathway
Rong GU ; Hailiang HUANG ; Xinrui WANG ; Hanlu LI ; Kaijiang LIU ; Ying ZHU
Acta Universitatis Medicinalis Anhui 2026;61(1):67-74
ObjectiveTo investigate the differential expression of integrin alpha-6(ITGA6) in abdominal wall endometriosis (AWE) tissues and its molecular mechanisms in regulating AWE. Methods36 AWE lesions were designated as the experimental group, while 36 cases of normal endometrial tissues served as the controls. Differential expression of ITGA6 between the two groups was assessed through immunohistochemical (IHC) staining. Human ITGA6 gene-specific interference sequences were designed, synthesized, and packaged into lentiviral vectors to establish the Ishikawa cell line with ITGA6-knockdown. Similarly, the ITGA6-overexpression cell line was constructed using the coding sequence (CDS) of the gene. Real-time PCR and Western blot were performed to detect changes in epithelial-mesenchymal transition(EMT)-related markers and angiogenesis-related indicators. Cell invasion and migration capabilities were assessed by Cell Scratch and Transwell assays. Furthermore, Western blot was conducted to profile PI3K/AKT pathway dynamics. ResultsEctopic endometrial tissues exhibited a marked increase in the number of ITGA6-positive cells and their expression intensity compared to eutopic endometrium (each P < 0.001). Compared with the NC group, the ITGA6-knockdown group showed significantly reduced expression of N-cadherin, VEGF, and TGF-β1 (all P < 0.01), while E-cadherin expression was markedly increased (P < 0.01). Concomitantly, the invasion and migration capacities of ITGA6-low expression were significantly impaired (P < 0.001 for both), accompanied by a marked reduction in AKT and phosphorylated AKT(p-AKT) levels (P < 0.001). Conversely, overexpressing ITGA6 resulted in opposite effects. ConclusionITGA6 modulates EMT and angiogenesis in Ishikawa cells via the PI3K/AKT signaling pathway, thereby enhancing cell invasion and migration capabilities, which contributes to the pathogenesis of AWE.
9.Legal issues and policy optimization suggestions for the surplus funds retention and utilization under centralized drug procurement
China Pharmacy 2026;37(4):420-424
OBJECTIVE To provide recommendations for improving the policy on retention and utilization of surplus funds from centralized drug procurement with China’s medical insurance system from a legal perspective. METHODS Policy texts and practical cases related to the surplus funds retention and utilization under national centralized procurement were reviewed. Then, these were compared with relevant legal norms, the legal issues in the policy were analyzed, and improvement suggestions were subsequently proposed. RESULTS &CONCLUSIONS The funds retention and utilization policy serves as an incentive measure that can motivate medical institutions and guide them to prioritize the use of selected drugs, thereby reducing patients’ medical costs. However, the policy is confronted with several legal issues, including the lack of unified superior legal norms, complex rules, uneven resource distribution, ambiguous rules and legal nature regarding the allocation and use of funds, and inadequate supervision, which constrain the full realization of the policy’s effects. It is recommended to optimize and improve the policy from aspects such as refining the legal norm system, standardizing accounting rules, establishing an equity-oriented allocation and adjustment mechanism, clarifying the nature of funds and detailed usage guidelines, and constructing multiple supervision and remedy channels, so as to ensure the long-term effective operation of the policy.
10.Construction and validation of a medication deviation prediction model for hospital-to-home transition period in coronary heart disease patients with initial treatment
Yushuang LI ; Shu LI ; Qianying ZHANG ; Yan HUANG ; Kun LIU ; Xiulin GU ; Huanhuan JIANG
China Pharmacy 2026;37(4):491-496
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.


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