Objective:This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method.Methods:Based on entries from the 2018 China Health and Retirement Longitudinal Study database, a sample of 5 954 elderly individuals was selected. Feature selection using Support Vector Machine Recursive Feature Elimination, Extreme Gradient Boosting (XGBoost) - Recursive Feature Elimination (RFE), and the Lasso algorithm, which was combined with five classifiers-logistic regression, decision trees, random forests, support vector machines, and XGBoost-to explore the classification effectiveness for depressive symptoms in the elderly. Finally, the SHAP method was used to interpret the analysis of the model with the highest receiver operating characteristic curve areas under the curve (AUC).Results:The accuracy of 15 prediction models ranged from 0.702 to 0.743, with AUC between 0.730 and 0.795. Sensitivity was reported at 0.546 to 0.588, while specificity ranges from 0.783 to 0.865. The model XGBoost-RFE-XGBoost presented the highest AUC. Based on SHAP values, the top four factors influencing depressive symptoms in older adults were life satisfaction, duration of nighttime sleep, disability status, and self-rated health.Conclusion:This study developed a highly efficient and interpretable risk prediction model for depressive symptoms in older adults, which could help identify high-risk older adults and give personalized interventions.

The microbial limit standards in the Chinese Pharmacopoeia 2020 edition primarily focus on total aerobic microbial count and specified objectionable microorganisms,which are insufficient for comprehensively assessing the potential risks posed by microbial contamination to drug efficacy and patient safety.With the increasing com-plexity of rising regulatory requirements,there is an urgent need to establish a scientific and systematic microbial risk assessment and control framework.In response,the Chinese Pharmacopoeia 2025 edition,introduces a new general guideline 9212 Risk Assessment and Control of Unacceptable Microorganisms for Non-sterile Products.This chapter systematically constructs a framework for the identification and control of risks associated with unacceptable microorganisms,filling a gap in the relevant field within international pharmacopoeias.This article systematically elaborates on its key elements based on its core framework and content.It covers the development background,core concepts,testing and identification strategies,evaluation of risk characterization factors,formulation of risk control measures,and implementation pathways.The aim is to provide pharmaceutical enterprises and regulatory agencies with systematic and clear practical guidance.

Whole Genome Sequencing(WGS)technology,leveraging its significant advantages in precise microbial identification and traceability analysis,has become a core tool in international pharmaceutical microbial quality control.The release and implementation of the Guideline 9110 for Microbial Whole Genome Sequencing Technology in the Chinese Pharmacopoeia 2025 Edition marks the official entry of China's pharmaceutical microbial quality con-trol into the genomic era.Guideline 9110 establishes universal technical specifications for the application of WGS technology in pharmaceutical microbial quality control,covering laboratory general requirements,key technical parameters,technical workflow,major factors affecting sequencing results,method validation,and application guidance.This article focuses on the background of the standard's development and its technical rationale,provi-ding a systematic interpretation of key technical indicators,the scope of application,and essential points for techni-cal implementation.It aims to offer theoretical guidance and practical references for the industry in applying WGS technology.

Objective:This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method.Methods:Based on entries from the 2018 China Health and Retirement Longitudinal Study database, a sample of 5 954 elderly individuals was selected. Feature selection using Support Vector Machine Recursive Feature Elimination, Extreme Gradient Boosting (XGBoost) - Recursive Feature Elimination (RFE), and the Lasso algorithm, which was combined with five classifiers-logistic regression, decision trees, random forests, support vector machines, and XGBoost-to explore the classification effectiveness for depressive symptoms in the elderly. Finally, the SHAP method was used to interpret the analysis of the model with the highest receiver operating characteristic curve areas under the curve (AUC).Results:The accuracy of 15 prediction models ranged from 0.702 to 0.743, with AUC between 0.730 and 0.795. Sensitivity was reported at 0.546 to 0.588, while specificity ranges from 0.783 to 0.865. The model XGBoost-RFE-XGBoost presented the highest AUC. Based on SHAP values, the top four factors influencing depressive symptoms in older adults were life satisfaction, duration of nighttime sleep, disability status, and self-rated health.Conclusion:This study developed a highly efficient and interpretable risk prediction model for depressive symptoms in older adults, which could help identify high-risk older adults and give personalized interventions.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

The microbial limit standards in the Chinese Pharmacopoeia 2020 edition primarily focus on total aerobic microbial count and specified objectionable microorganisms,which are insufficient for comprehensively assessing the potential risks posed by microbial contamination to drug efficacy and patient safety.With the increasing com-plexity of rising regulatory requirements,there is an urgent need to establish a scientific and systematic microbial risk assessment and control framework.In response,the Chinese Pharmacopoeia 2025 edition,introduces a new general guideline 9212 Risk Assessment and Control of Unacceptable Microorganisms for Non-sterile Products.This chapter systematically constructs a framework for the identification and control of risks associated with unacceptable microorganisms,filling a gap in the relevant field within international pharmacopoeias.This article systematically elaborates on its key elements based on its core framework and content.It covers the development background,core concepts,testing and identification strategies,evaluation of risk characterization factors,formulation of risk control measures,and implementation pathways.The aim is to provide pharmaceutical enterprises and regulatory agencies with systematic and clear practical guidance.

Whole Genome Sequencing(WGS)technology,leveraging its significant advantages in precise microbial identification and traceability analysis,has become a core tool in international pharmaceutical microbial quality control.The release and implementation of the Guideline 9110 for Microbial Whole Genome Sequencing Technology in the Chinese Pharmacopoeia 2025 Edition marks the official entry of China's pharmaceutical microbial quality con-trol into the genomic era.Guideline 9110 establishes universal technical specifications for the application of WGS technology in pharmaceutical microbial quality control,covering laboratory general requirements,key technical parameters,technical workflow,major factors affecting sequencing results,method validation,and application guidance.This article focuses on the background of the standard's development and its technical rationale,provi-ding a systematic interpretation of key technical indicators,the scope of application,and essential points for techni-cal implementation.It aims to offer theoretical guidance and practical references for the industry in applying WGS technology.

According to the work goals and tasks determined by edition outline of the Chinese Pharmacopoeia 2025 Edition, the standards system of Water for Pharmaceutical Purposes has been perfected. This article focuses on the Work Background, Overall Approach,Work Methodology,Standard Framework,Key Content and Significance on the standards system of Water for Pharmaceutical Purposes in the Chinese Pharmacopoeia 2025, which can contribute to accurately understand and utilize the standards in Chinese Pharmacopoeia.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.