Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective To analyze the differences in aging-related information between Chinese and American drug instruction for common chronic disease in the elderly,and to propose policy recommendations for the aging-related drug instruction in China.Methods Ten common chronic disease treatment drugs for elderly patients were selected,and through the random sampling method,the drug manuals of one domestic manufacturer were randomly selected for each drug by the random number method,and one American drug manual was selected as a sample from the dailymed website,and the information related to elderly people in the various items of the drug manuals was statistically analyzed by using Excel for comparative analysis.The average reading level of the patient version of the U.S.drug instructions was calculated using the Readability Formulas Scoring System;the readability of the Chinese drug instructions was assessed by the Health Education Text Material Suitability Scale.Results Compared with the U.S.drug instruction,the drug instruction for common chronic diseases of the elderly in China were updated less frequently and at a slower pace;the drug instruction with information on medication for elderly patients were fewer than those of the U.S.drug instruction,and the content of the drug instruction was not well documented;and the drug instruction were poorly readable,which was not conducive to the comprehension of the elderly patients.Conclusion China is in urgent need of reforming the aging of drug instructions,and it is recommended that,for chronic disease medications for elderly patients,we should increase the number of clinical trials conducted on the elderly,improve and complete the drug information for the elderly in the drug instructions,and produce"drug instructions for elderly patients"that are suitable for the elderly to read and understand.

Objective To evaluate the status of home medication safety among elderly patients with chronic diseases and analyze its influencing factors in urban and rural areas of Henan Province.Methods Convenient sampling method was adopted.Data was collected through a designed and optimized questionnaire.Pharmacists conducted in-home surveys.Excel and SPSS 26.0 software were used for data analysis.Results A total of 352 valid questionnaires were analyzed.Most respondents were aged 60～70 years,with a female proportion of 56.2%,and 52.0%of them had a junior high school education or lower.The top-ranked chronic diseases were hypertension(62.2%)and hyperlipidemia(33.2%),and 61.1%of patients suffered from multiple chronic diseases.Antipyretic and analgesic drugs were most common in home medicine cabinets(90.1%).The proportion of drugs being stored in accordance with the instructions(46.9%)was slightly low,and 93.8%of the elderly handled expired drugs improperly.Awareness of medication guidance services was low(34.9%).Logistic regression analysis showed that factors such as education level and monthly income had significant effects on the understanding of drug package insert,rational drug storage,proper disposal of expired drugs,and awareness of medication guidance services(P<0.05).Conclusion There are still some potential safety risks in the home medication use of elderly patients with chronic diseases in urban and rural areas of Henan Province.It is necessary to enhance education on drug storage and medication guidance,particularly for low-income and less-educated groups,to improve the safety of home medication use.

Objective To elucidate the causal relationship between high-density lipoprotein cholesterol(HDL-C)and colorectal cancer(CRC)through Mendelian randomization.Methods Mendelian randomi-zation analysis was conducted using genetic instrumental variables selected from a genome-wide association study dataset.The main methods included inverse variance weighted,MR-Egger,weighted median,simple mode,and weighted mode method;among which,inverse variance weighted method served as the primary analytical approach.Sensitivity analyses were performed to verify the robustness of results.Results A total of 41 genetic instrumental variables associated with HDL-C were identified.Inverse variance weighted method(OR=0.84,95% CI:0.73-0.96,P=0.01)and weighted median method(OR=0.82,95% CI:0.67-0.99,P=0.04)indicated a negative correlation between genetically-determined HDL-C and CRC risk.Sensitivity analyses confirmed the absence of heterogeneity and horizontal pleiotropy(P>0.05).Conclusion A causal relationship exists between HDL-C and CRC risk,with rs1077834 as a potential key determinant in the influence of HDL-C on CRC risk.

Diabetes, hypertension, and dyslipidemia, collectively referred to the " Three Highs, " represent increasingly prevalent metabolic risk factors in China. Many individuals experience all three conditions concurrently, significantly heightening the risk of cardiovascular disease and mortality. Although the National Metabolic Management Center(MMC) has been established for over eight years and has its unique features, the awareness, treatment, and control rates of these diseases in China remain low, and the efficiency of community management is insufficient. According to the previous two editions of management guidelines and the most recent domestic and international diagnostic and treatment guidelines, this paper conducts an in-depth analysis of the operational experience and management strategies of the MMC. Its aim is to improve the efficiency of grassroots MMC mode management for " Three Highs" patients and ensure that patients receive more standardized management.

Diabetes, hypertension, and dyslipidemia, collectively referred to the " Three Highs, " represent increasingly prevalent metabolic risk factors in China. Many individuals experience all three conditions concurrently, significantly heightening the risk of cardiovascular disease and mortality. Although the National Metabolic Management Center(MMC) has been established for over eight years and has its unique features, the awareness, treatment, and control rates of these diseases in China remain low, and the efficiency of community management is insufficient. According to the previous two editions of management guidelines and the most recent domestic and international diagnostic and treatment guidelines, this paper conducts an in-depth analysis of the operational experience and management strategies of the MMC. Its aim is to improve the efficiency of grassroots MMC mode management for " Three Highs" patients and ensure that patients receive more standardized management.

The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.

Colorectal cancer is one of the common malignant tumors with high morbidity， and changes in lifestyle， dietary structure and environment in China in recent decades have been associated with an increase in the incidence of colorectal cancer. A large number of studies have shown that traditional Chinese medicine（TCM） can be used as a complementary and alternative treatment for colorectal cancer after conventional western medicine treatment. TCM physicians have accumulated a lot of clinical experience in the treatment of patients with stage Ⅰ-Ⅲ colorectal cancer， and have proved that TCM has unique efficacy， but there is still a lack of relevant clinical practice guidelines to standardize and guide the diagnosis and treatment of TCM. Based on this， according to the guideline development process of the World Health Organization Handbook for Guideline Development and the Clinical Evidence Grading Criteria on TCM Based on Evidence Body， under the framework of relevant laws， regulations and technical guidance documents， combined with the evidence of relevant domestic and foreign clinical research in recent years for evidence grading and opinion recommendation， and then the Guidelines for TCM Intervention After Conventional Western Medicine Treatment for Stage Ⅰ-Ⅲ Colorectal Cancer were developed by expert consensus. This guideline introduces the etiology， pathogenesis， syndrome differentiation and treatment of TCM intervention for colorectal cancer， which can provide guiding opinions for TCM clinicians and clinicians of integrated traditional Chinese and western medicine engaged in the prevention and treatment of colorectal cancer.

Objective:To investigate the expression of IGF1R-Ras and RAGE-HMGB1 signaling pathways in colorectal cancer patients with type 2 diabetes mellitus and their significance.Methods:The resected cancer tissues were obtained from 59 patients with colorectal cancer (CRC), including 29 patients with type 2 diabetes mellitus (CRC/DM group) and 30 with CRC alone (CRC group). The expressions of IGF1R, Ras, RAGE and HMGB1 in cancer tissues were detected by immunohistochemistry. The differences between the two groups were compared and the relationship between the expression and clinicopathological characteristics was analyzed.Results:In CRC/DM group, the positive rates of IGF1R and Ras were both 65.5% (19/29), and 51.7% (15/29) patients had IGF1R+ Ras+ immunophenotype, which were significantly higher than those in CRC group [33.3% (10/30), 36.7% (11/30) and 20.0% (6/30); P=0.013, 0.027 and 0.011, respectively]. The expression of IGF1R and Ras in CRC / DM group was positively correlated ( r=0.479, P=0.017). The positive rate of RAGE expression in CRC group and CRC/DM group was 70.0% (21/30) and 72.4% (21/29) respectively, and the positive rate of HMGB1 expression was 46.7% (14/30) and 58.6% (17/29) respectively, neither was observed with significant difference ( P=0.358 and 0.838). However, the proportion of patients with RAGE+ HMGB1+ immunophenotype in CRC/DM group [55.2% (16/29)] was higher than that in CRC Group [26.7% (8/30)] which was statistically significant ( P=0.026), and the expression of both proteins was positively correlated in CRC/DM group ( r=0.578, P=0.003). The clinicopathological analysis showed that in both groups the expression of IGF1R, Ras, RAGE and HMGB1 had no correlation with the sex, age, differentiation degree, tumor length, T stage and lymph node metastasis ( P>0.05). Conclusion:Both IGF1R-Ras and RAGE-HMGB1 pathways may be involved in the oncogenesis of colorectal cancer in patients with type 2 diabetes.