AIM To evaluate the quality of benchmark sample of Zexie Decoction.METHODS HPLC fingerprints were established,after which the content determination of epoxy alisma ene,23-acetyl alisol B,23-acetyl alisol C,alisol A,alisol B,atractylenolide Ⅰ,atractylenolide Ⅱ and atractylenolide Ⅲ was performed,and the transfer rate and paste yield were calculated.RESULTS There were 20 common peaks in the fingerprints for 15 batches of benchmark samples with the similarities of more than 0.95.The average contents of various effective constituents were 180.86 μg/g for alisol B 23-acetate,18.65 μg/g for alisol C 23-acetate,34.74 μg/g for alismoxide,17.65 μg/g for alisol A,238.19 μg/g for alisol B,2.85 μg/g for atractylenolide Ⅰ,6.38 μg/g for atractylenolide Ⅱ,and 15.42 μg/g for atractylenolide Ⅲ,respectively.In the decoction piece-benchmark sample,alisol B 23-acetate,alisol C 23-acetate,atractylenolide Ⅰ,atractylenolide Ⅱ and atractylenolide Ⅲ demonstrated the average transfer rates of 12.09％,16.45％,3.93％,12.17％and 34.37％respectively.The paste yields in various batches of benchmark samples were 15.2％-20.2％.CONCLUSION HPLC fingerprints combined with content determination can be used for the quality control of benchmark sample of Zexie Decoction,thus provides a reference for the development of its compound preparations.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

AIM To evaluate the quality of benchmark sample of Zexie Decoction.METHODS HPLC fingerprints were established,after which the content determination of epoxy alisma ene,23-acetyl alisol B,23-acetyl alisol C,alisol A,alisol B,atractylenolide Ⅰ,atractylenolide Ⅱ and atractylenolide Ⅲ was performed,and the transfer rate and paste yield were calculated.RESULTS There were 20 common peaks in the fingerprints for 15 batches of benchmark samples with the similarities of more than 0.95.The average contents of various effective constituents were 180.86 μg/g for alisol B 23-acetate,18.65 μg/g for alisol C 23-acetate,34.74 μg/g for alismoxide,17.65 μg/g for alisol A,238.19 μg/g for alisol B,2.85 μg/g for atractylenolide Ⅰ,6.38 μg/g for atractylenolide Ⅱ,and 15.42 μg/g for atractylenolide Ⅲ,respectively.In the decoction piece-benchmark sample,alisol B 23-acetate,alisol C 23-acetate,atractylenolide Ⅰ,atractylenolide Ⅱ and atractylenolide Ⅲ demonstrated the average transfer rates of 12.09％,16.45％,3.93％,12.17％and 34.37％respectively.The paste yields in various batches of benchmark samples were 15.2％-20.2％.CONCLUSION HPLC fingerprints combined with content determination can be used for the quality control of benchmark sample of Zexie Decoction,thus provides a reference for the development of its compound preparations.

Tamoxifen(TAM)has been widely used for the treatment of ER+breast cancer.However,the inevitable emergence of resistance to tamoxifen obstructs the successful treatment of this cancer.The tumor suppressor gene N-myc downstream-regulated gene 2(NDRG2)plays a significant role in the de-velopment of ER+breast cancer.However,it is unclear whether NDRG2 participates in mediating TAM resistance in ER+breast cancer.Here,we investigate the expression of NDRG2 mRNA and protein in TAM-sensitive and TAM-resistant ER+breast cancer cells.The results of immunoblotting experiments re-vealed a negative correlation between NDRG2 expression and TAM resistance ability in ER+breast cancer cells(P＜0.001).CCK-8 cell viability assays and soft agar colony formation assays showed that NDRG2 overexpression in TAM resistant cells significantly reduced the TAM IC50 value and the soft agar colony formation rate(P＜0.001).For the mechanism,the ERAD reporter protein assays showed that NDRG2 overexpression upregulated the expression of the ERAD reporter protein CD3ε-YFP and increased the lev-els of spliced XBP1s mRNA,leading to severe endoplasmic reticulum stress in TAM resistant cells(P＜0.001).Immunoblot analysis confirmed that overexpression of NDRG2 significantly increased the level of phosphorylation of the endoplasmic reticulum stress sensor IRE 1α and the expression levels of its down-stream protein factors,including ERdj4,P58IPK,EDEM and PDIA5(P＜0.001).The in vivo xenograft tumor experiments in mice further verified that NDRG2 overexpression significantly inhibited the growth of resistant tumors,which enhanced the therapeutic effect of TAM(P＜0.001).These findings indicate that increasing NDRG2 expression and triggering severe endoplasmic reticulum stress upon TAM treatment can reverse the resistance of ER+breast cancer cells to TAM and inhibits the growth of ER+breast canc-er tumors.Our results provide valuable new insights and potential targets for improving the clinical man-agement of TAM-resistance and prognosis in ER+breast cancer.

Roasting is a characteristic traditional Chinese medicine(TCM)processing technology, which has a long history. A large number of ancient books recorded the varieties and processing methods of roasted TCM. However, with the evolution of the times, there are relatively few studies on this processing technology in modern times. By consulting works related to herbs of the past, this study collected a total of 119 kinds of TCM roasting methods recorded in 123 ancient books and systematically summarized the historical evolution and development of TCM roasting methods. At the same time, the inclusion of roasted varieties in Chinese Pharmacopoeia of different editions, National Traditional Chinese Medicine Processing Specification(1988 edition), and provincial TCM processing specifications was sorted out. This paper reviews the research progress of the process, quality control, chemical composition, pharmacological action, and clinical application of roasted TCM and analyzes the evolution of the roasting technology, in order to provide a literature basis for optimizing roasting process parameters, establishing the quality standard of roasted decoction pieces, explaining the processing theory of roasting, and promoting rational clinical application.
Drugs, Chinese Herbal/chemistry* ; Medicine, Chinese Traditional/history* ; Humans ; Quality Control ; History, Ancient ; Hot Temperature

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

The theory of "liver opens at the eyes" was first seen in Yellow Emperor's Internal Canon of Medicine， which is the ancient people's summary of the connection between the liver and the eyes. The theory of "liver opens at the eyes" suggests the characteristic of "co-damage and co-recover of liver and eyes". It has been found in clinical practice that liver diseases and eye diseases often occur together， and "liver and eyes co-recover" is an ideal choice. The key to achieving "liver and eyes co-recover" is to analyze its pharmacological material basis and mechanism. With the development of modern medicine， more and more evidence indicates that the liver and eyes have complex and close relationships in physiological and pathological aspects. In a pathological state， there is a phenomenon of "liver and eyes co-damage"， and after the intervention of traditional Chinese medicine， "liver and eyes co-recover" occurs. "Liver and eyes co-damage and co-recover" can be explained through the "co-material basis and co-action mechanism". On this basis， the research group tentatively proposed that the liver and eyes had "four common characteristics" （4CCs）， namely "co-damage， co-recover， co-material basis， and co-action mechanism" from the theoretical connotation of traditional Chinese medicine， clinical practice， and molecular biology. Additionally， the group also took the intervention of Prunella vulgaris， traditional Chinese medicine， for removing liver fire and improving eyesight on immune liver injury （ILI） and allergic conjunctivitis （AC） as examples to analyze 4CCs. This project aims to deeply analyze the scientific connotation of the theory of "liver opens at the eyes"， reveal the common characteristics and biological essence of liver and eyes， explore a new research paradigm of "liver and eyes co-recover"， and provide a reference for the study of common problems of multi-organ associated diseases.

OBJECTIVE: To investigate the spatial patterns of the prevalence, awareness, treatment, and control rates of dyslipidemia at the provincial level in China. METHODS: A national and provincial representative cross-sectional survey was conducted among 178,558 Chinese adults in 31 provinces in mainland China in 2018-2019, using a multi-stage, stratified, cluster-randomized sampling design. Subjects, as households, were selected, followed by a home visit to collect information. Both descriptive and linear regression procedures were applied in the analyses. RESULTS: The overall prevalence of dyslipidemia was 35.6%, and wide geographic variations of prevalence, treatment, and control rates of dyslipidemia were identified among 178,558 eligible participants with a mean age of 55.1 ± 13.8 years. The highest-lowest difference regarding the provincial level prevalence rates were 19.7% vs. 2.1% for high low-density lipoprotein cholesterol, 16.7% vs. 2.5% for high total cholesterol, 35.9% vs. 5.4% for high triglycerides, and 31.4% vs. 10.5% for low high-density lipoprotein cholesterol. The treatment rate of dyslipidemia was correlated with the socio-demographic index ( P < 0.001), urbanization rate ( P = 0.01), and affordable basic technologies and essential medicines ( P < 0.001). CONCLUSION Prevailing dyslipidemia among the Chinese population and its wide geographic variations in prevalence, treatment, and control suggest that China needs both integrated and localized public health strategies across provinces to improve lipid management.
Humans ; Adult ; Middle Aged ; Aged ; Cross-Sectional Studies ; Prevalence ; East Asian People ; Dyslipidemias/prevention & control* ; China/epidemiology* ; Cholesterol, HDL ; Risk Factors ; Triglycerides