1.Expert Consensus on Clinical Application of Qidong Yixin Oral Liquid
Changkuan FU ; Xiaochang MA ; Mingjun ZHU ; Yue DENG ; Hongxu LIU ; Mingxue ZHANG ; Ying CHEN ; Yan ZHOU ; Ling ZHANG ; Jianhua FU ; Wei YANG ; Yu'er HU ; Ming CHEN ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):147-158
The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis (VMC). It has the functions of tonifying Qi, nourishing the heart,calming the mind, and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However,the understanding of its efficacy evidence, advantageous aspects, dosage and administration, and medication safety remains insufficient in clinical practice. Therefore,the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid (hereinafter referred to as consensus) was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine,successively completing multiple tasks such as the consensus project initiation,determination of clinical problems,evidence search and evaluation,formation of recommendation opinions and consensus suggestions,solicitation of opinions,peer review, submission for review and release, and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions,clarifying the clinical positioning,efficacy advantages,syndrome differentiation,dosage and administration,combination therapy,timing of medication,adverse reactions,contraindications, and precautions of Qidong Yixin oral liquid,indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease,providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23, 2024. Standard number:GSCACM-376-2024.
2.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
3.Status of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023
ZHU Shu, GUO Hua, LI Hongbo, SHI Zhu, WU Shengnan, HUANG Yiyanwen, SUN Yan, LIU Yiya
Chinese Journal of School Health 2026;47(2):178-182
:
To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization.
Methods:
In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency.
Results:
The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05).
Conclusions
Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.
4.Traditional Chinese Medicine Treats Sepsis by Regulating PI3K/Akt Pathway: A Review
Zhu LIU ; Jiawei WANG ; Jing YAN ; Jinchan PENG ; Mingyao XU ; Liqun LI ; Sheng XIE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):314-322
Sepsis is a systemic inflammatory response syndrome caused by the invasion of pathogenic microorganisms such as bacteria. In addition to the manifestations of systemic inflammatory response syndrome and primary infection lesions, critical cases often have manifestations of organ hypoperfusion. The morbidity and mortality of sepsis have remained high in recent years, which seriously affect the quality of life of the patients. The pathogenesis of sepsis is complicated, in which uncontrollable inflammation is a key mechanism. The phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) signaling pathway plays a key role in mediating inflammation in sepsis. The available therapies of sepsis mainly include resuscitation, anti-infection, vasoactive drugs, intensive insulin therapy, and organ support, which show limited effects of reducing the mortality. Therefore, finding new therapeutic drugs is a key problem to be solved in the clinical treatment of sepsis. In recent years, studies have shown that traditional Chinese medicine (TCM) can regulate the PI3K/Akt pathway via multiple pathways, multiple effects, and multiple targets to inhibit inflammation and curb the occurrence and development of sepsis, which has gradually become a hot spot in the prevention and treatment of sepsis. Moreover, studies have suggested that TCM has unique advantages in the treatment of sepsis. TCM can regulate the PI3K/Akt signaling pathway to inhibit inflammation, reduce oxidative stress, and control apoptosis in the prevention and treatment of sepsis. Despite the research progress, a systematic review remains to be performed regarding the TCM treatment of sepsis by regulating the PI3K/Akt signaling pathway. After reviewing relevant papers published in recent years, this study systematically summarizes the relationship between PI3K/Akt pathway and sepsis and the role of TCM in the treatment of sepsis, aiming to provide new ideas for the potential treatment of sepsis and the development of new drugs.
5.Changes and Trends in the microbiological-related standards in the Chinese Pharmacopoeia 2025 Edition
FAN Yiling ; ZHU Ran ; YANG Yan ; JIANG Bo ; SONG Minghui ; WANG Jing ; LI Qiongqiong ; LI Gaomin ; WANG Shujuan ; SHAO Hong ; MA Shihong ; CAO Xiaoyun ; HU Changqin ; MA Shuangcheng, ; YANG Meicheng
Drug Standards of China 2025;26(1):093-098
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.
6.Research on the standardization of “Indications”in package inserts for Chinese patent medicines
Meiwei ZHANG ; Keqian LI ; Keyu YAO ; Yan ZHU
China Pharmacy 2025;36(5):513-518
OBJECTIVE To promote the standardization of the “Indications” section in package inserts for Chinese patent medicines and ensure rational clinical and patient use. METHODS The “Function and Indications” information of package inserts for Chinese patent medicines was retrieved and collected from the 2020 edition of the Chinese Pharmacopoeia (Volume Ⅰ) and various national and regional standards. Identification criteria were established for syndrome, pathogenesis, disease name, and symptom terminology in the “Indications” section. Microsoft Office Access 2021 was utilized to create query tables for manual extraction of terminological elements, followed by the construction of a three-tier classification system for “Indications” descriptions. A standardized template for “Indications” was developed through quantitative analysis. RESULTS & CONCLUSIONS A total of 9 851 valid package inserts for Chinese patent medicines were included. Among these, the majority (7 991) contained symptom terminology, followed by disease names (5 867) and pathogenesis descriptions (5 167). Within disease name terminology, Western medical disease names predominated (4 446), followed by traditional Chinese medicine disease names (2 018). The “Function and Indications” content of 6 962 package inserts complied with existing requirements. Notably, the secondary classifications of “disease name”, as well as the tertiary classification of “disease name+symptoms” and “symptoms”, failed to meet established standards. Two standardized templates for “Indications” were formulated based on pathogenesis and syndrome:“pathogenesis+disease name+symptoms” and “disease name+syndrome+symptoms”. The “Indications”section should provide complete and accurate information, adhere to standardized formatting, and employ appropriate conjunctions and punctuation. For non-prescription patent medicines, package inserts should be categorized into professional and patient versions. These measures will facilitate the standardization of “Indications” descriptions and advance the overall package inserts for Chinese patent medicines documentation.
7.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
8.Application and prospect of artificial intelligence and population pharmacokinetics in personalized medication after organ transplantation
Shuai HE ; Huiying ZONG ; An’an LI ; Penglin ZHOU ; Rui GAO ; Xichao WU ; Yanjiao ZHU ; Yan LI
China Pharmacy 2025;36(14):1813-1818
Artificial intelligence (AI) and population pharmacokinetics (PPK) technologies have demonstrated significant potential in the personalized medication of immunosuppressants after organ transplantation, enabling precise prediction of drug dosages. This article provides a comprehensive review of the application status of AI and PPK in the individualized administration of immunosuppressants after organ transplantation, focuses on monitoring blood drug concentration, predicting efficacy/adverse reactions, and establishing individualized dosing models for organ transplant recipients after immunosuppressant administration, and analyzes and compares the application characteristics of different methods in different organ transplant patients as well as the integration and future development of AI and PPK technologies. AI and PPK technologies can not only significantly reduce the dependence on human resources, but also greatly improve the level of individualized treatment of immunosuppressants after organ transplantation, and reduce the discomfort and burden caused by frequent blood concentration monitoring to patients.
9.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
10.Prescriptions and syndromes of Chaihu and Longgu Muli Decoction for treatment of tachyarrhythmia accompanied by anxiety state based on Delphi method.
Gang LIU ; Yan-Li LI ; Kui-Po YAN ; Hai-Feng YAN ; Lei ZHANG ; Ming-Yuan DU ; Yi-Zhuo LI ; Cui-Ling ZHU
China Journal of Chinese Materia Medica 2025;50(6):1680-1687
Chaihu and Longgu Muli Decoction has demonstrated significant efficacy in the treatment of tachyarrhythmia accompanied by anxiety and depression. However, there is a lack of standardized guidelines for its clinical application. In this study, the Chaihu and Longgu Muli Decoction was investigated through extensive research on ancient and modern literature, as well as a collection of clinical medical records. The basic information, medication details, and diagnostic information from medical records, personal experience literature, and clinical cases in the treatment of tachyarrhythmia accompanied by anxiety were extracted and analyzed to preliminarily identify the prescription characteristics and syndrome patterns. Subsequently, the Delphi method was employed to construct an item pool based on the data obtained in the first step. An expert questionnaire was prepared to collect scores and revision opinions from experts regarding these items. After statistical analysis and group discussions, a second round of questionnaires was formed by screening out certain items. This process was repeated until a final item set for the treatment of tachyarrhythmia accompanied by anxiety with Chaihu and Longgu Muli Decoction was determined. These findings provided guidance for clinical prescription practices. By extracting 71 syndromes and signs, as well as 33 tongue and pulse characteristics, the main syndrome features included palpitations, chest tightness, irritability, etc., which were basically consistent with the ancient syndromes. Through frequency analysis and group discussions, 71 items were screened out. After screening, modification, and primary and secondary division, 11 main diagnostic items and 10 secondary diagnostic items were determined. On this basis, the research team believes that Chaihu and Longgu Muli Decoction is mainly indicated for the following syndromes in the treatment of tachyarrhythmia accompanied by anxiety(palpitations, poor sleep, bitter taste, dry mouth, irritability/easily angered/anxiety/fearfulness/easily startled, red tongue with greasy yellow coating, rapid pulse, high work/life pressure, tachyarrhythmia on electrocardiogram/Holter monitor, and positive results on anxiety scale). Secondary syndromes include chest tightness, shortness of breath, feeling heavy and weak in the body, sweating, poor appetite, constipation, greasy white tongue coating, wiry pulse, slippery pulse, or knotted and intermittent pulse.
Drugs, Chinese Herbal/therapeutic use*
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Humans
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Delphi Technique
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Anxiety/complications*
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Tachycardia/psychology*
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Female
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Male
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Middle Aged
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Adult
;
Aged


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