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.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
3.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
4.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.
5.Clinical Application of Harmonizing and Regulating Pivot Method in Pulmonary Fibrosis:Based on the Characteristics of Essence-Attribute-Function
Mingsheng LYU ; Hongsheng CUI ; Jia ZHU ; Weibo BI ; Ruifeng JIN ; Zhijie ZHANG ; Qiuyi CHEN ; Siyang YU
Journal of Traditional Chinese Medicine 2026;67(4):381-385
Based on the theory of "shaoyang(少阳) resembling the pivot" and collateral diseases, this article proposes that pulmonary fibrosis (PF) can be divided into three stages including wind bi (痹), constraint bi, and atrophy bi. The core pathogenesis of PF is the obstruction of the pivot and pulmonary collateral obstruction. In terms of treatment, the basic principles are to harmonize and regulate the pivot, and to promote the circulation of the lung collaterals. Depending on the different characteristics of the "essence-attribute-function", treatment methods such as harmonizing and regulating the pivot, resolving phlegm and removing stasis, supplementing deficiency and harmonizing collaterals are suggested. This approach ensures the regulation of the pivot, smooth circulation of qi and blood, unblocking of the lung collaterals and nourishing the lung body, achieving the goals of balancing the ascending and descending of qi, removing phlegm and stasis, and relieving cough and wheezing.
6.Construction and characterization of recombinant human coagulation factor Ⅶ stable transfected cell lines
Xiaoxiao LI ; Jiabin CHEN ; Jiajun LIU ; Zhifei ZHANG ; Sen ZOU ; Lihua ZHU ; Zhaoyong YANG
Acta Universitatis Medicinalis Anhui 2026;61(1):16-22
ObjectiveTo construct a stable monoclonal human embryonic kidney 293 (HEK293) cell line expressing recombinant human coagulation factor Ⅶ (rhFⅦ) and evaluate the expression level and procoagulant bioactivity of rhFⅦ. MethodsThe plasmid pCDNA3.1-EGFP-FⅦ was transfected into HEK293 cells to verify the effectiveness of the transfection system. The plasmid pCDNA3.1-FⅦ was transfected into HEK293 cells, and monoclonal stable transfected cell lines were selected using geneticin (G418). The transcription of the FⅦ gene was identified by reverse transcription polymerase chain reaction (RT-PCR). The expression level of rhFⅦ in the supernatant of the monoclonal stable transfected cell line was detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and Western blot. The concentration of rhFⅦ was determined by enzyme-linked immunosorbent assay (ELISA), and the procoagulant activity of rhFⅦ was measured by human coagulation factor Ⅶ potency assay. ResultsHEK293 cells transfected with pcDNA3.1-EGFP-FⅦ showed green fluorescence, indicating that rhFⅦ was successfully expressed in the supernatant of HEK293 cells after transient transfection with pcDNA3.1-FⅦ. The monoclonal stable transfected cell line was obtained by G418 screening. RT-PCR identified that the FⅦ gene was integrated into the genome of the monoclonal stable transfected cell line. The cell viability was good as detected by Cell Counting Kit-8, and a single band of rhFⅦ was obtained by purification of the cell supernatant. The highest rhFⅦ expression was (1.27±0.09) mg/L, and the highest procoagulant activity was (380.29±13.80)%. ConclusionThe monoclonal HEK293 cell lines which can express rhFⅦ protein efficiently and stably with excellent procoagulant bioactivity is successfully screened.
7.Exploring on Quality Evaluation Methods of Clinical Case Reports in Traditional Chinese Medicine Based on China Clinical Cases Library of Traditional Chinese Medicine
Kaige ZHANG ; Feng ZHANG ; Bo ZHOU ; Haimin CHEN ; Yong ZHU ; Changcheng HOU ; Liangzhen YOU ; Weijun HUANG ; Jie YANG ; Guoshuang ZHU ; Shukun GONG ; Jianwen HE ; Yang YE ; Yuqiu AN ; Chunquan SUN ; Qingjie YUAN ; Buman LI ; Xingzhong FENG ; Kegang CAO ; Hongcai SHANG ; Jihua GUO ; Xiaoxiao ZHANG ; Zhining TIAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):271-276
As the core vehicle for preserving and transmitting traditional Chinese medicine(TCM) academic thought and clinical experience, the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine, this study conducted a comprehensive analysis of critical challenges, including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic, encompassing three dimensions of authenticity and standardization, characteristics and advantages, application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment, while aligning with modern scientific research standards, achieving a balance between individualized TCM experience and standardized evaluation. Concurrently, this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases, contributing significantly to the inheritance of TCM knowledge, evidence-based practice, and the reform of talent evaluation mechanisms.
8.Analysis of risk factors and construction of risk prediction model for batroxobin-related severe hypofibrinogenemia
Le CAI ; Yuqing ZHAO ; Jiazhu CUI ; Xiao WEN ; Daihong GUO ; Man ZHU
China Pharmacy 2026;37(4):462-467
OBJECTIVE To investigate the clinical characteristics and risk factors for batroxobin-related severe hypofibrinogenemia (HFIB) and construct a risk prediction model. METHODS A retrospective analysis was conducted on inpatients treated with batroxobin in the First Medical Center of a tertiary hospital from January 1, 2020, to December 31, 2024. Patients were categorized into non-severe HFIB group and severe HFIB group based on the severity of HFIB. Univariate and multivariate Logistic regression analyses were performed to identify the independent influencing factors for batroxobin-related severe HFIB. A nomogram was developed using the “rms” package in R 4.5 software. The predictive performance of the model was evaluated using the receiver operating characteristic curve. Calibration was assessed via the Bootstrap resampling method, and goodness-of-fit was evaluated with the Hosmer-Lemeshow test. RESULTS A total of 1 472 patients were included in this study. Of these, 1 445 developed HFIB, yi elding an incidence of 98.17%. Furthermore, 895 were classified as severe HFIB, accounting for 60.80% of the cohort. Multivariate Logistic regression analysis showed that increased age, high initial dose per 10 kg body weight, use of maintenance dose, and concomitant glucocorticoid use were independent risk factors for batroxobin-related severe HFIB, while high baseline fibrinogen (FIB) level was identified as a protective factor. The model demonstrated an area under the curve of 0.760 (95% CI: 0.735-0.785). The mean absolute error of the calibration curve was 0.006. The P value of the Hosmer-Lemeshow test was 0.609. CONCLUSIONS Batroxobin can rapidly and significantly reduce FIB levels and carries a risk of inducing severe HFIB. Patients with advanced age, high initial dose per 10 kg body weight, use of maintenance dose and concomitant glucocorticoid use had a higher risk of batroxobin-related severe HFIB, while high baseline FIB level had a lower risk of batroxobin-related severe HFIB. The risk prediction model developed based on these factors can be used to predict the likelihood of batroxobin-related severe HFIB.
9.Measurement and simulation of secondary neutron energy spectra and doses in proton therapy
Yang YAN ; Changsong HOU ; Zhen ZHANG ; Weiguo ZHU
Chinese Journal of Radiological Health 2026;35(1):23-28
Objective To evaluate the radiation dose levels induced by secondary neutrons at different locations inside proton therapy treatment rooms, and analyze the distribution characteristics of neutron energy spectra by combining experimental measurements with simulations, and to provide a theoretical basis and technical support for radiation protection design and management in proton therapy. Methods Multiple representative measurement points were established in the treatment rooms of two hospital-based proton therapy centers. The DIAMON neutron spectrometer was employed to perform in-situ measurements of secondary neutron doses and energy spectra. Three-dimensional simulation models of treatment rooms were constructed using the FLUKA code to simulate the generation and transport of secondary neutrons. Results Measurements showed that the neutron dose was highest near the target region, reaching up to
10.Effectiveness of electron linear accelerator in penetrating radiation sterilization of postal packages
Debang BAO ; Aijun CUI ; Guobao WANG ; Zhibin ZHU
Chinese Journal of Radiological Health 2026;35(1):91-96
Objective To investigate the microbial disinfection and sterilization effectiveness of an electron linear accelerator on the surface and interior of postal packages, and to design and conduct a penetrating radiation disinfection and sterilization experiment. Methods This experiment selected Bacillus pumilus E601 (ATCC 27142) as the indicator microbial strain for radiation. An experimental model of postal package was subjected to penetrating radiation with different dose gradients using high-energy electron beams generated by an S-band 10 MeV electron linear accelerator. The disinfection and sterilization effectiveness was assessed by culturing and counting B. pumilus after high-energy electron beam radiation treatment. A control group was established to analyze the influence of actual absorbed doses at different gradients on the disinfection and sterilization effectiveness of the electron linear accelerator. Results The actual absorbed doses of high-energy electron-beam radiation required to achieve 1-, 3-, and 6-log reductions of B. pumilus were 1.63, 5.07, and 10.22 kGy, respectively. Complete inactivation was achieved at an absorbed dose of 10.92 kGy, which met the processing requirements specified in the technical standard for ionizing-radiation disinfection. Conclusion The experimental data indicated that the actual absorbed dose for B. pumilus is linearly positively correlated with the log reduction of bacterial colonies killed by electron beam radiation. For disinfection and sterilization requirements in different scenarios, the required actual absorbed dose can be achieved by dynamically adjusting the operating speed of the under-beam transmission system.

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