OBJECTIVE To optimize the extraction process of flavonoids from Potentilla discolor .METHODS Deep eutectic solvents （DESs） were used as the extraction solvent to prepare test sample solutions. The contents of rutin， quercitrin， and kaempferol were determined by ultra-performance liquid chromatography. The analytic hierarchy process combined with the criteria importance through intercriteria correlation weighting method was employed to assign comprehensive weights to the contents of the three flavonoids， and calculate the comprehensive score. The optimal DESs were screened based on the comprehensive score.Mean while， using the comprehensive score as the response variable and the liquid-to-solid ratio， ultrasonic time， and urltrasonic temperature as the influencing factors， the extraction technology of flavonoids from P.discolor was optimized by Box-Behnken response surface methodology and subsequently validated.RESULTS The comprehensive weight coefficients of rutin， quercitrin， and kaempferol were 0.646 7， 0.207 5， and 0.145 8， respectively. The optimal DESs were choline chloride-lactic acid （molar ratio 1∶4） with a water content of 40%. The optimal extraction conditions were determined as follows： liquid-to-solid ratio of 25∶1， ultrasonic time of 40 min， and ultrasonic temperature of 50 ℃. The validation results showed that the average comprehensive score of three batches of samples was 99.28， with an RSD of 0.54% （ n ＝3）.CONCLUSIONS The optimal extraction technology of flavonoids from P. discolor based on DESs obtained in this study was stable and feasible.

Objective:To identify the key individual factors influencing intertemporal health decision-making and construct an interpretive structural model to analyze the logical relationships between these factors, providing intervention targets for making health-related intertemporal decisions.Methods:Through literature review and expert discussion, individual factors influencing health intertemporal decision-making were identified. The interpretive structural model and cross-impact matrix multiplication method were used to analyze the hierarchical relationships and category distribution among these factors.Results:A hierarchical structural model consisting of three levels and eight elements was established, with category distribution including independent, associated, and dependent groups. Education level and economic status were identified as fundamental factors at the bottom level, influencing each other and belonging to the independent group. Health cognition, health status, self-control, and emotional state were middle-level indirect factors. Self-control was influenced by health status and also affected emotional state and health cognition, while health cognition, in turn, influenced health status, placing these factors in the associated group. Future time perception and future situational expectations were direct factors at the top level, influencing each other and belonging to the dependent group.Conclusions:Education level, economic status, health cognition, health status, self-control, emotional state, future time perception, and future situational expectations are individual factors influencing intertemporal health decision-making, with an inherent relationship from bottom to top. Clarifying the pathways between these factors will help to provide targeted interventions based on individual conditions, promoting correct health intertemporal decision-making.

Objective:To investigate the association between dietary diversity and the risk of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD) .Methods:A total of 553 patients diagnosed with CHD and undergoing PCI in the Department of Cardiology at the Second Affiliated Hospital of Harbin Medical University between May and November 2023 were enrolled using a convenience sampling method. A Semi-Quantitative Food Frequency Questionnaire was used to assess patients' dietary intake after PCI, and the Dietary Diversity Score (DDS) was calculated. Patients were followed up for one year to determine the incidence of MACE.Results:History of hypertension, history of hyperlipidemia, body mass index, use of antiplatelet agents, use of diuretics, triglycerides, smoking index and DDS were identified as factors influencing the occurrence of MACE after PCI ( P<0.05) . Among these, higher dietary diversity had a protective effect against MACE. Conclusions:After PCI, patients with lower DDS experienced MACE more frequently than those with higher scores. Increased dietary diversity can effectively help prevent MACE in patients after PCI.

Objective:To investigate the independent and interactive effects of sleep quality and sleep chronotype on the severity of coronary artery lesions in patients with coronary heart disease.Methods:From September 2023 to January 2024, 322 inpatients with coronary heart disease diagnosed by coronary angiography in the Department of Cardiovascular Medicine of the Second Affiliated Hospital of Harbin Medical University were selected for the study using the convenience sampling method. Pittsburgh Sleep Quality Index and the Chinese version of the Munich Chronotype Questionnaire were used to investigate the sleep quality and sleep chronotype, and the Gensini score was used to evaluate the severity of coronary artery lesions. Multiple ordered Logistic regression was used to explore the factors influencing the severity of coronary artery lesions in patients with coronary heart disease.Results:Multiple ordered Logistic regression analysis showed that total cholesterol, history of diabetes mellitus, sleep quality, and sleep chronotype were influencing factors in the severity of coronary artery lesions in patients with coronary heart disease ( P<0.05) . There were statistically significant main and interaction effects of sleep quality and sleep chronotype on the severity of coronary artery lesions ( P<0.05) . Conclusions:Sleep quality and sleep chronotype in patients with coronary heart disease have not only independent but also interactive effects on the severity of coronary artery lesions. Nursing staff can provide guidance and interventions for sleep quality and sleep chronotype that may help control the progression of coronary artery lesions in patients with coronary heart disease.

Objective: To investigate whether syndecan-2(SDC2) can affect the proliferation, invasion and migration of cervical cancer cells by regulating ferroptosis and its possible mechanism. Methods : Normal cervical epithelial cells H8 and cervical squamous carcinoma cells C33A were cultured and divided into H8 group and C33A group. C33A cells were cultured and divided into control group, low SDC2 expression group, SDC2+ferroptosis inhibitor(ferrostation-1) group and SDC2 + ferroptosis inducer(erastin) group. Western blot was used to detect the protein levels of SDC2, solute carrier family 7 member 11(SLC7A11) and glutathione peroxidase 4(GPX4). RT-qPCR was used to detect the SDC2 mRNA level in C33A cells. ELISA kits were used to detect the levels of reactive oxygen species(ROS), glutathione(GSH) and ferrous ion(Fe2+) in C33A cells. The cloning ability of C33A cells was detected by plate cloning. The migration ability of C33A cells was detected by scratch test. Transwell assay was used to detect the invasion ability of C33A cells. Results : Compared with H8 group, the protein and mRNA expressions of SDC2, SLC7A11 and GPX4 in C33A group increased(P<0.05). Compared with the control group, the proliferation ability, migration ability and invasion ability of C33A cells in the low SDC2 group decreased(P<0.05), the protein and mRNA expressions of SLC7A11 and GPX4 in C33A cells decreased(P<0.05), and the GSH level decreased. ROS and Fe2+levels increased(P<0.05). Compared with the low SDC2 group, the protein and mRNA expressions of SLC7A11 and GPX4 increased(P<0.05), the GSH level increased, and the ROS and Fe2+levels decreased(P<0.05) in the low SDC2+ferrostation-1 group. Compared with the control group, the proliferation ability, migration ability and invasion ability of C33A cells with low SDC2+erastin expression decreased(P<0.05). Conclusion The expression of SDC2 increases in C33A cervical cancer cells. Low expression of SDC2 can activate SLC7A11/GPX4 pathway mediated ferroptosis, thereby reducing the proliferation, invasion and migration of C33A cells.

Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

Objective:To identify the key individual factors influencing intertemporal health decision-making and construct an interpretive structural model to analyze the logical relationships between these factors, providing intervention targets for making health-related intertemporal decisions.Methods:Through literature review and expert discussion, individual factors influencing health intertemporal decision-making were identified. The interpretive structural model and cross-impact matrix multiplication method were used to analyze the hierarchical relationships and category distribution among these factors.Results:A hierarchical structural model consisting of three levels and eight elements was established, with category distribution including independent, associated, and dependent groups. Education level and economic status were identified as fundamental factors at the bottom level, influencing each other and belonging to the independent group. Health cognition, health status, self-control, and emotional state were middle-level indirect factors. Self-control was influenced by health status and also affected emotional state and health cognition, while health cognition, in turn, influenced health status, placing these factors in the associated group. Future time perception and future situational expectations were direct factors at the top level, influencing each other and belonging to the dependent group.Conclusions:Education level, economic status, health cognition, health status, self-control, emotional state, future time perception, and future situational expectations are individual factors influencing intertemporal health decision-making, with an inherent relationship from bottom to top. Clarifying the pathways between these factors will help to provide targeted interventions based on individual conditions, promoting correct health intertemporal decision-making.

Objective:To investigate the association between dietary diversity and the risk of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD) .Methods:A total of 553 patients diagnosed with CHD and undergoing PCI in the Department of Cardiology at the Second Affiliated Hospital of Harbin Medical University between May and November 2023 were enrolled using a convenience sampling method. A Semi-Quantitative Food Frequency Questionnaire was used to assess patients' dietary intake after PCI, and the Dietary Diversity Score (DDS) was calculated. Patients were followed up for one year to determine the incidence of MACE.Results:History of hypertension, history of hyperlipidemia, body mass index, use of antiplatelet agents, use of diuretics, triglycerides, smoking index and DDS were identified as factors influencing the occurrence of MACE after PCI ( P<0.05) . Among these, higher dietary diversity had a protective effect against MACE. Conclusions:After PCI, patients with lower DDS experienced MACE more frequently than those with higher scores. Increased dietary diversity can effectively help prevent MACE in patients after PCI.

Objective:To investigate the independent and interactive effects of sleep quality and sleep chronotype on the severity of coronary artery lesions in patients with coronary heart disease.Methods:From September 2023 to January 2024, 322 inpatients with coronary heart disease diagnosed by coronary angiography in the Department of Cardiovascular Medicine of the Second Affiliated Hospital of Harbin Medical University were selected for the study using the convenience sampling method. Pittsburgh Sleep Quality Index and the Chinese version of the Munich Chronotype Questionnaire were used to investigate the sleep quality and sleep chronotype, and the Gensini score was used to evaluate the severity of coronary artery lesions. Multiple ordered Logistic regression was used to explore the factors influencing the severity of coronary artery lesions in patients with coronary heart disease.Results:Multiple ordered Logistic regression analysis showed that total cholesterol, history of diabetes mellitus, sleep quality, and sleep chronotype were influencing factors in the severity of coronary artery lesions in patients with coronary heart disease ( P<0.05) . There were statistically significant main and interaction effects of sleep quality and sleep chronotype on the severity of coronary artery lesions ( P<0.05) . Conclusions:Sleep quality and sleep chronotype in patients with coronary heart disease have not only independent but also interactive effects on the severity of coronary artery lesions. Nursing staff can provide guidance and interventions for sleep quality and sleep chronotype that may help control the progression of coronary artery lesions in patients with coronary heart disease.