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.The effect of immobility on quality of life in older inpatients
Wanshu ZHANG ; Pan LIU ; Yu SONG ; Xiaojun LI ; Xiaxia LI ; Lina MA ; Yun LI
Chinese Journal of Geriatrics 2025;44(4):451-457
Objective:To explore the effect of immobility on the quality of life in older adults.Methods:This cross-sectional study included 244 consecutive elderly patients aged 60 years and older who were admitted to the Department of Geriatrics at Xuanwu Hospital of Capital Medical University from May 2022 to March 2023.Among the participants, 52.5%(128/244)were male and 47.5%(116/244)were female, with a mean age of 69.2±7.4 years.All participants underwent a series of assessments, including the Short Physical Performance Battery(SPPB), grip strength measurement, gait speed evaluation, and the Timed Up and Go test(TUG).The Barthel Index was employed to assess activities of daily living, while the Medical Outcomes Study 36-Item Short Form Health Survey(SF-36)was used to evaluate quality of life.A score of SPPB ≤ 9 was used to diagnose immobility.Results:A total of 60 older adults met the criteria for immobility.Compared to the non-immobility group, the quality-of-life scores for older adults in the immobility group were significantly lower across various dimensions, including physical functioning, role-physical, bodily pain, general health, vitality, social functioning, physical component summary, and the total SF-36 score(all P<0.05).Furthermore, a positive correlation was identified between the SPPB scores and the quality-of-life scores across the dimensions of physical functioning, bodily pain, general health, vitality, social functioning, mental health, reported health transition, physical component summary, and the total SF-36 score among patients in the immobility group(all P<0.05).Additionally, older adults in the immobility group exhibited lower grip strength, slower gait speed, and longer TUG times, as well as a higher incidence of emergencies and falls over the past year(all P<0.05). Conclusions:The poorer quality of life and physical function, along with higher rates of emergencies and falls among older adults with immobility, indicate the necessity of addressing the health consequences that immobility inflicts on this population.
3.Retrospective clinical analysis of eculizumab treatment for hematopoietic stem cell transplantation-associated thrombotic microangiopathy: a report of 11 cases
Xueyi LUO ; Rui MA ; Huifang WANG ; Lu BAI ; Yun HE ; Yuanyuan ZHANG ; Tingting HAN ; Daoxing DENG ; Yuhong CHEN ; Wei HAN ; Xiaohui ZHANG ; Lanping XU ; Yu WANG ; Xiaojun HUANG ; Yuqian SUN
Chinese Journal of Hematology 2025;46(5):431-436
Objective:To evaluate the efficacy of eculizumab in treating hematopoietic stem cell transplantation-associated thrombotic microangiopathy (TA-TMA) .Methods:This retrospective study included 11 patients who developed TA-TMA after allogeneic hematopoietic stem cell transplantation and subsequently received eculizumab treatment at Peking University People′s Hospital between June 2018 and May 2024. The incidence of TA-TMA, treatment details, and clinical outcomes were analyzed.Results:Among the 11 included patients [4 males, 7 females; median age: 29 years (range: 9-56) ], underlying diseases were severe aplastic anemia (SAA) in 5 patients, acute lymphoblastic leukemia (ALL) in 3 patients, and acute myeloid leukemia (AML) in 3 patients. The median time to TA-TMA diagnosis was 48 days post-transplantation (range: 4-213 days), and all patients met the diagnostic criteria for high-risk TA-TMA. The median interval from TA-TMA diagnosis to the initiation of eculizumab treatment was 12 days (range: 1-56 days). Patients received a median of 3 doses of eculizumab (range: 1-14). Ten of the 11 patients were assessed as having no response (NR) to eculizumab at the end of treatment or at death. One patient achieved a partial response (PR) but subsequently died after TA-TMA relapsed due to infection. At the last follow-up, all patients were either lost to follow-up or had died. The median follow-up duration was 88 days (range: 33-326 days), and the median time from TA-TMA diagnosis to the last follow-up was 31 days (range: 21-113 days) .Conclusion:Eculizumab demonstrated poor efficacy in this TA-TMA cohort. This might be attributable to the critical and complex condition of the patients, delayed initiation of eculizumab treatment, and insufficient dosage.
4.Diagnostic value of targeted next-generation sequencing for community-acquired respiratory virus infections in patients with hematological diseases
Xueyi LUO ; Yuchen YAO ; Rui MA ; Huifang WANG ; Lu BAI ; Wei HAN ; Yifei CHENG ; Feifei TANG ; Xiaojun HUANG ; Yuqian SUN
Chinese Journal of Hematology 2025;46(7):636-641
Objective:To evaluate the diagnostic value of targeted next-generation sequencing (tNGS) of throat swab samples for detecting community-acquired respiratory viruses (CARV) in patients with hematological diseases.Methods:Clinical and laboratory data from 64 episodes involving patients with hematological diseases and suspected infections—who underwent both pharyngeal swab tNGS and CARV polymerase chain reaction (PCR) testing concurrently—were retrospectively analyzed. The cases were drawn from the Department of Hematology, Peking University People’s Hospital, between September 2023 and April 2024. Concordance between tNGS and CARV PCR results, as well as the diagnostic performance of tNGS in detecting CARV, were evaluated.Results:Among the 64 episodes, 29 were clinically diagnosed with respiratory tract infections, including one case of cytomegalovirus pneumonia and 28 CARV-positive cases. The remaining 35 episodes involved patients with fever or respiratory symptoms attributed to other causes, including 14 with extrapulmonary infections and 21 with noninfectious etiologies. The median follow-up duration was 215.5 days (range: 7-271 days). PCR detected 24 strains of seven CARV types, whereas tNGS detected 25 strains of eight CARV types. Using PCR results as the reference standard, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of tNGS were 85.0%, 88.6%, 77.3%, 92.9%, and 87.5%, respectively. The two methods showed good concordance (Kappa=0.717, P<0.001) . Conclusion:Pharyngeal swab tNGS may serve as a viable alternative to PCR for diagnosing CARV infections in patients with hematological diseases.
5.Development and preliminary clinical evaluation of an optical digital border molding technique for soft tissue movement boundary in edentulous jaws
Xinkai XU ; Kehui DENG ; Sukun TIAN ; Hu CHEN ; Weiwei LI ; Xing SU ; Xiaobo ZHAO ; Xiaojun CHEN ; Chao MA ; Yongjie JIA ; Shujuan XIAO ; Yuchun SUN
Chinese Journal of Stomatology 2025;60(6):611-617
Objective:To address the critical issue of missing dynamic border molding information in edentulous direct digital impression technology, this study explores innovative digital solutions and conducts preliminary application validation.Methods:Based on the myostatic line theory, a methodology was established: intraoral scanner (IOS) high-frequency video was utilized to dynamically capture functional molding data of soft tissues, integrated with a self-developed mobility gradient recognition algorithm to achieve dynamic threshold segmentation between the muscle dynamic zone and myostatic zone, termed "optical digital molding technology". Ten edentulous patients with well-fitting complete dentures, treated at the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2024 to December 2024, were enrolled. The standard deviation between the muscle static line (generated by mobility gradient algorithm with thresholds of 0.3-0.7 mm) and the denture border curve was analyzed to optimize the dynamic threshold, followed by single-case clinical validation.Results:Among the mobility thresholds of 0.3-0.7 mm, the 0.5 mm threshold yielded the smallest standard deviation between the myostatic line and denture border. Clinical validation demonstrated that dentures designed with this threshold exhibited no displacement during dynamic functional tests, with marginal sealing meeting clinical standards.Conclusions:The optical digital border molding technique for edentulous soft tissue boundaries translates the myostatic line theory into quantifiable parameters for the first time. Based on data from 10 cases, a mobility threshold of 0.5 mm is recommended for clinical application.
6.Nomogram based on clinical and DCE-MRI characteristics for predicting the depth of myometrial invasion and grade of endometrioid endometrial carcinoma
Xiaoliang MA ; Songqi CAI ; Jinwei QIANG ; Guofu ZHANG ; Jianjun ZHOU ; Mengsu ZENG ; Xiaojun REN ; Rong JIANG ; Minhua SHEN
Chinese Journal of Obstetrics and Gynecology 2025;60(3):202-215
Objective:To investigate the feasibility and value of nomogram based on base line clinical and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) characteristics for pretreatment predicting the depth of myometrial invasion and tumor grade of endometrioid endometrial carcinoma (EEC).Methods:Preoperative baseline clinical characteristics and DCE-MRI characteristics of 194 EEC patients were prospectively collected at Obstetrics and Gynecology Hospital, Fudan University from October 2020 to January 2022 and used as a training set. Univariate analysis was conducted to compare baseline clinical characteristics and DCE-MRI quantitative parameters [including tumor volume, and mean, median, and standard deviation of volume transfer constant (K trans), rate constant (K ep), extravascular extracellular volume fraction (V e), and initial area under the enhancement curve (iAUC)] between patients with deep myometrial invasion (DMI) and those with superficial myometrial invasion (SMI), as well as between high-grade and low-grade EEC. Multivariate logistics regression analysis was used to identify independent predictors for the construction of nomogram. An independent external testing set comprising 127 EEC patients was retrospectively collected from Zhongshan Hospital, Fudan University and Zhongshan Hospital, Fudan University (Xiamen Branch). The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used for evaluating the model′s predictive performance and clinical net benefit, respectively. Results:(1) The depth of myometrial invasion: univariate analysis showed that in the training set, the EEC patients with DMI differed significantly from those with SMI in clinical characteristics including higher proportion of postmenopausal state and overweight [body mass index (BMI)≥25 kg/m2], and abnormal levels of serum cancer antigen (CA) 125, CA 199, and human epididymis protein 4 (HE4), and in DCE-MRI quantitative parameters including tumor volume, and median, mean, and standard deviation of K trans, median of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, CA 199, tumor volume, and mean of iAUC were independent predictors of the depth of myometrial invasion, and constructed the nomogram (recorded as Nomogram_1), achieving an AUC of 0.861 (95% CI: 0.803-0.919) in the training set. In the independent external testing set, the AUC was 0.876 (95% CI: 0.815-0.938), with corresponding sensitivity of 82.0%, specificity of 80.7%, accuracy of 81.1%, positive predictive value (PPV) of 65.3%, and negative predictive value (NPV) of 91.0% for predicting DMI. (2) The EEC grade: univariate analysis showed that in the training set, high-grade EEC patients differed significantly from low-grade EEC in clinical characteristics including patient′s age, the proportion of postmenopausal state and overweight, and abnormal levels of serum CA 125, and in DCE-MRI quantitative parameters including tumor volume, median, mean, and standard deviation of K trans, median and mean of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, tumor volume, and median of V e emerged as independent predictors of EEC grade, and constructed the nomogram (recorded as Nomogram_2), achieving an AUC of 0.845 (95% CI: 0.786-0.893) in the training set. While in the external testing set, the AUC was 0.819 (95% CI: 0.744-0.894), with corresponding sensitivity of 72.4%, specificity of 72.4%, accuracy of 72.4%, PPV of 43.8%, and NPV of 89.9% for predicting high-grade EEC. (3) The DCA curves demonstrated that both Nomogram_1 and Nomogram_2 yielded obvious positive clinical net benefits across a wide range of threshold probabilities. Conclusion:The nomogram based on pretreatment clinical and DCE-MRI characteristics has the potential to noninvasive predict the depth of myometrial invasion and grade of EEC, providing valuable reference information for clinical management decision-making.
7.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.
8.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.
9.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.
10.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

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