1.A Comparative Study of Artificial Intelligence-based Classification Versus Manual Classification of Medical Adverse Events: Taking the DeepSeek Large Language Model As an Example
Rui WANG ; Xutong TAN ; Congpu ZHAO ; Shuchang WANG ; Zheng CHEN ; Xiaojun MA ; Zhiling CAI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):828-833
To analyze the application value of artificial intelligence (AI)-based classification in the categorization of medical adverse events. Medical adverse events reported to the Adverse Event Reporting System of Peking Union Medical College Hospital from September 1, 2023, to August 31, 2024, were retrospectively collected as the study subjects. After de-identification of adverse events meeting the inclusion criteria, conventional manual classification and AI-based classification using a large language model (DeepSeek-R1 Full-Context Internet Edition) were performed. The time required for classification using both methods was recorded, and the consistency and discrepancies between the two methods were compared. Using manual classification as the gold standard, the accuracy of AI-based classification was comprehensively evaluated. A total of 273 medical adverse events were analyzed. Manual classification took 38 838 seconds in total, with an average of 14.22 seconds per event. AI-based classification took 600 seconds in total, with an average of 2.19 seconds per event. The two methods showed consistent classification in 202 events and inconsistent classification in 71 events, yielding an overall agreement rate of 73.99% and a Kappa coefficient of 0.646 (95% CI: 0.575-0.717), with a standard error of 0.0362. Using manual classification as the gold standard, AI-based classification achieved accuracy ranging from 80% to 100%, precision from 30% to 100%, recall from 40% to 100%, F1 scores from 0.46 to 0.79, and specificity from 46% to 98%. Notably, AI-based classification demonstrated balanced and overall excellent performance in the categorization of device-related and drug-related adverse events. The DeepSeek large language model can assist in improving the efficiency of medical adverse event classification, showing promising application potential, particularly in the categorization of device-related and drug-related adverse events.
2.Clinical Decision-making for Anti-infective Therapy in Patients with Positive Blood Cultures
Medical Journal of Peking Union Medical College Hospital 2025;16(5):1096-1101
Bloodstream infections(BSIs) are associated with high morbidity and mortality. The widespread emergence of antimicrobial resistance has significantly increased the complexity of treating BSIs, making the development of precise antimicrobial treatment strategies based on positive blood culture results a critical clinical challenge. Additionally, it is imperative to systematically correct traditional misconceptions to optimize treatment outcomes and alleviate the pressure of antimicrobial selection. This article provides an in-depth exposition across the following dimensions, including bloodstream infection diagnosis, infection source identification, antimicrobial treatment regimen formulation, etc., to optimize the diagnostic and therapeutic process for patients with positive blood culture results.
3.Chinese expert consensus on integrated case management by a multidisciplinary team in CAR-T cell therapy for lymphoma.
Sanfang TU ; Ping LI ; Heng MEI ; Yang LIU ; Yongxian HU ; Peng LIU ; Dehui ZOU ; Ting NIU ; Kailin XU ; Li WANG ; Jianmin YANG ; Mingfeng ZHAO ; Xiaojun HUANG ; Jianxiang WANG ; Yu HU ; Weili ZHAO ; Depei WU ; Jun MA ; Wenbin QIAN ; Weidong HAN ; Yuhua LI ; Aibin LIANG
Chinese Medical Journal 2025;138(16):1894-1896
4.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
5.Molecular mechanisms of microbial mercury resistance and their prospective applications in remediation of mercury-contaminated soils.
Di WANG ; Huan LUO ; Xiaojun SHI ; Zhenlun LI ; Ying MA
Chinese Journal of Biotechnology 2025;41(4):1323-1339
Mercury (Hg)-contaminated soil poses a significant threat to the environment and human health. Hg-resistant microorganisms have the ability to survive under the stress of inorganic and organic Hg and effectively reduce Hg levels and toxicity. Compared to physical and chemical remediation methods, microbial remediation technologies have garnered increasing attention in recent years due to their lower cost, remarkable efficacy, and minimal environmental impact. This paper systematically elucidates the molecular mechanisms of Hg resistance in microbes, with a focus on their potential applications in phytoremediation of Hg-contaminated soils through plant-microbe interactions. Furthermore, it highlights the critical role of microbes in enhancing the effectiveness of transgenic plants for Hg remediation, aiming to provide a theoretical foundation and scientific basis for the bioremediation of Hg-contaminated soils.
Mercury/toxicity*
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Biodegradation, Environmental
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Soil Pollutants/isolation & purification*
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Soil Microbiology
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Plants, Genetically Modified/metabolism*
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Bacteria/genetics*
6.Recombinant yeast-cell microcapsules carrying the DNA vaccine against enterotoxigenic Escherichia coli.
Xiafang ZHAO ; Lihong DU ; Baoxia MA ; Shaona JIA ; Yufei LIU ; Yufei ZHU ; Xiaotao MA ; Xiaojun YANG ; Kun XU
Chinese Journal of Biotechnology 2025;41(6):2388-2404
The enterotoxigenic Escherichia coli (ETEC) infection is a major factor restricting the development of animal husbandry. However, the abuse of antibiotics will lead to the antibiotic residues and emergence of antibiotic-resistant bacteria. The existing vaccines face challenges in stimulating intestinal immunity, demonstrating limited prevention effects. Therefore, it is indispensable to develop a new vaccine that is safe and suitable as a feed additive to activate intestinal immunity. This study constructed yeast-cell microcapsules (YCM) carrying the DNA vaccine against ETEC by genetic engineering. Furthermore, animal experiments were carried out to explore the regulatory effects of feeding YCM on the intestinal immune system and intestinal microbiota. Saccharomyces cerevisiae was selected as the oral delivery vehicle (microcapsules) of the DNA vaccine. The codon-optimized nucleic acid sequence of K88, the main antigen of mammal-derived ETEC, was synthesized, and the yeast shuttle vector containing the corresponding DNA vaccine expression cassette was constructed by DNA recombination. The recombinant strain of YCM was prepared by transforming JMY1. Additionally, the characteristics of the YCM strain and its feasibility as an oral vaccine were comprehensively evaluated by the fluorescence reporter assay, gastrointestinal fluid tolerance assay, intestinal epithelial cell adhesion assay, intestinal retention assessment, antiserum detection, and intestinal microbiota detection. The experimental results showed that the DNA vaccine expression cassette was expressed in mammals, and the recombinant strain of YCM could tolerate up to 8 hours of gastrointestinal fluid digestion and had good adhesion to intestinal epithelial cells. The results of mouse feeding experiments indicated that the recombinant strain of YCM could stay in the intestinal tract for at least two weeks, and the DNA vaccine expression cassette carried by YCM entered the intestinal immune system and triggered an immune response to induce the production of specific antibodies. Moreover, feeding YCM recombinant bacteria also improved the abundance of gut microbiota in mice, demonstrating a positive effect in regulating intestinal flora. In summary, we prepared the recombinant strain of YCM carrying the DNA vaccine against ETEC and comprehensively evaluated its characteristics and feasibility as an oral vaccine. Feeding the recombinant YCM could induce specific immune responses and regulate intestinal microbiota. The findings provide a reference for the immunoprevention of ETEC-related animal diseases.
Animals
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Enterotoxigenic Escherichia coli/genetics*
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Saccharomyces cerevisiae/metabolism*
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Vaccines, DNA/genetics*
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Mice
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Escherichia coli Infections/immunology*
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Escherichia coli Vaccines/genetics*
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Capsules
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Mice, Inbred BALB C
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Female
7.Differences in inflammatory indicators and prognostic factors between pulmonary and extrapulmonary ARDS caused by sepsis
Honglei QI ; Xiaojuan YANG ; Xiaojun YANG ; Xigang MA ; Xiaohong WANG ; Huan DING ; Jinyuan ZHU
Chongqing Medicine 2025;54(6):1300-1306
Objective To investigate the influencing factors of pulmonary and extrapulmonary acute re-spiratory distress syndrome(ARDS)caused by sepsis.Methods A total of 126 patients with ARDS admitted to the Department of Critical Care Medicine,General Hospital of Ningxia Medical University,from January 2022 to June 2024 were selected.Patients were divided into pulmonary ARDS and extrapulmonary ARDS groups based on the etiology of ARDS.General data,inflammatory indicators,and prognostic outcomes were compared between the two groups.COX regression analysis was used to identify prognostic factors.Results A-mong the 126 patients,72 were diagnosed with pulmonary ARDS and 54 with extrapulmonary ARDS.The pulmonary ARDS group had significantly lower SOFA scores,fewer organ dysfunctions,a lower incidence of arrhythmia,shorter mechanical ventilation duration,higher Murray scores,and higher Charlson Comorbidity Index(CCI)compared to the extrapulmonary ARDS group(P<0.05).Inflammatory markers,including pro-calcitonin(PCT),C-reactive protein(CRP),interleukin(IL)-4,IL-6,IL-10,and tumor necrosis factor-α(TNF-α),were significantly lower in the pulmonary ARDS group,while interferon-γ(INF-γ)levels were higher(P<0.05).For pulmonary ARDS,CCI and TNF-α were identified as independent risk factors for prog-nosis(P<0.05),with the combination of CCI and TNF-α yielding the highest predictive accuracy(AUC=0.81,95%CI:0.71-0.91).For extrapulmonary ARDS,CCI and CRP were independent risk factors(P<0.05),and their combination achieved the highest predictive performance(AUC=0.91,95%CI:0.84-0.98).Conclusion Inflammatory profiles between pulmonary and extrapulmonary ARDS caused by sepsis are different.CCI and TNF-α are independent risk factors for mortality in pulmonary ARDS,while CCI and CRP are independent risk factors in extrapulmonary ARDS.
8.Targeting farnesoid X receptor as aging intervention therapy.
Lijun ZHANG ; Jing YU ; Xiaoyan GAO ; Yingxuan YAN ; Xinyi WANG ; Hang SHI ; Minglv FANG ; Ying LIU ; Young-Bum KIM ; Huanhu ZHU ; Xiaojun WU ; Cheng HUANG ; Shengjie FAN
Acta Pharmaceutica Sinica B 2025;15(3):1359-1382
Environmental toxicants have been linked to aging and age-related diseases. The emerging evidence has shown that the enhancement of detoxification gene expression is a common transcriptome marker of long-lived mice, Drosophila melanogaster, and Caenorhabditis elegans. Meanwhile, the resistance to toxicants was increased in long-lived animals. Here, we show that farnesoid X receptor (FXR) agonist obeticholic acid (OCA), a marketed drug for the treatment of cholestasis, may extend the lifespan and healthspan both in C. elegans and chemical-induced early senescent mice. Furthermore, OCA increased the resistance of worms to toxicants and activated the expression of detoxification genes in both mice and C. elegans. The longevity effects of OCA were attenuated in Fxr -/- mice and Fxr homologous nhr-8 and daf-12 mutant C. elegans. In addition, metabolome analysis revealed that OCA increased the endogenous agonist levels of the pregnane X receptor (PXR), a major nuclear receptor for detoxification regulation, in the liver of mice. Together, our findings suggest that OCA has the potential to lengthen lifespan and healthspan by activating nuclear receptor-mediated detoxification functions, thus, targeting FXR may offer to promote longevity.
9.Analysis of Inpatient Mortality Cases in a Tertiary General Hospital in Beijing Based on Diagnosis-related Groups
Yufei ZHANG ; Jiong ZHOU ; Xiaojun MA ; Xiaoran WANG
Medical Journal of Peking Union Medical College Hospital 2025;16(3):697-702
To analyze inpatient mortality cases in a tertiary general hospital in Beijing based on diagnosis-related groups (DRG), with the aim of providing references for healthcare quality management. We retrospectively collected DRG data of hospitalized patients admitted to a tertiary general hospital in Beijing from January 1, 2015, to December 31, 2023. Mortality cases were analyzed according to mortality risk stratification, with a focus on the temporal trends, departmental distribution, and DRG composition of low/medium-low mortality risk cases. Among 927 304 DRG-classified hospitalizations, 2346 cases resulted in death (stratified into 130 low-risk, 209 medium-low-risk, 411 medium-high-risk, and 1596 high-risk cases), yielding an overall mortality rate of 0.25%. The mortality rates were 0.02% (130/680 939) in the low-risk group and 0.16% (209/130 449) in the medium-low-risk group. From 2015 to 2023, the mortality rate showed a significant downward trend ( Critical care units accounted for the highest proportion of mortality cases, with surgical patients having complications/comorbidities representing the major DRG-related factors for low/medium-low-risk deaths. Hospitals should prioritize these findings by identifying areas for improvement, implementing multidisciplinary case reviews, and strengthening patient safety measures.
10.Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability
Wanhong YIN ; Xiaoting WANG ; Ran ZHOU ; Dawei LIU ; Yan KANG ; Yaoqing TANG ; Xiaochun MA ; Jianguo LI ; Zhenjie HU ; Haitao ZHANG ; Wei HE ; Lixia LIU ; Wenjin CHEN ; Ran ZHU ; Jun WU ; Hongmin ZHANG ; Lina ZHANG ; Wenzhao CHAI ; Shihong ZHU ; Wangbin XU ; Rongqing SUN ; Xiangyou YU ; Tianjiao SONG ; Ying ZHU ; Hong REN ; Ai SHANMU ; Qing ZHANG ; Wei FANG ; Xiuling SHANG ; Liwen LYU ; Shuhan CAI ; Xin DING ; Heng ZHANG ; Guang FENG ; Lipeng ZHANG ; Bo HU ; Dong ZHANG ; Weidong WU ; Feng SHEN ; Xiaojun YANG ; Zhenguo ZENG ; Qibing HUANG ; Xueying ZENG ; Tongjuan ZOU ; Milin PENG ; Yulong YAO ; Mingming CHEN ; Hui LIAN ; Jingmei WANG ; Yong LI ; Feng QU ; Gang YE ; Rongli YANG ; Xiukai CHEN ; Suwei LI ; Juxiang WANG ; Yangong CHAO
Chinese Journal of Internal Medicine 2025;64(2):101-109
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.

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