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.Predictive value of polygenic risk score combined with NIHSS score for ischemic stroke complicated with DVT
Zhiling HE ; Yanhong WEI ; Ning YANG ; Song LIU ; Yan ZHAO ; Haifeng WEI ; Guangmin YANG
International Journal of Laboratory Medicine 2025;46(12):1449-1454
Objective To investigate the predictive value of combining polygenic risk score(PRS)with the National Institutes of Health Stroke Scale(NIHSS)socre for the development of deep venous thrombosis(DVT)in patients with ischemic stroke.Methods A total of 150 patients with ischemic stroke who were hos-pitalized in Jilin Provincial People's Hospital from December 2023 to May 2024 were selected as study sub-jects.After excluding patients who did not meet the criteria,139 patients were successfully followed up and di-vided into two groups based on whether DVT occurred.PRS strategy and fluorescence in situ hybridization(FISH)technology were used to detect the mutation of the gene loci associated with the risk of venous throm-boembolism(VTE).Based on these genotype data and the effect size of single nucleotide polymorphism(SNP)loci,the PRS score of patients was calculated through the model formula.The degree of neurological impairment was evaluated by NIHSS score.Receiver operating characteristics(ROC)curve was used to ana-lyze the efficacy of PRS score,NIHSS score and their combination in predicting ischemic stroke with lower limb DVT,and clinical data related to VTE formation were collected.Results There were no statistically sig-nificant differences between the two groups in terms of gender,age,body mass index(BMI),smoking,alcohol consumption,hypertension,diabetes,D-dimer(D-D),total cholesterol(TC),triglycerides(TG),and lipopro-tein(a)[(LP(a)]levels(P>0.05).The PRS score,NIHSS score,and Barthel index in the DVT group were significantly higher than those in the non-DVT group,and the proportion of patients with bed rest exceeding 72 h and homocysteine(Hcy)levels were also relatively higher,with statistical significance(P<0.05).Logis-tic regression analysis showed that PRS score>2.55,NIHSS score ≥-3 and Barthel index<60 were inde-pendent risk factors for lower limb DVT after ischemic stroke(P<0.05).ROC curve analysis results showed that the area under the curve(AUC)of PRS score,NIHSS score and combined prediction of ischemic stroke combined with lower limb DVT were 0.655,0.747 and 0.763,respectively,and the AUC of combined predic-tion was higher than that of single prediction(P<0.05).Conclusion PRS score combined with NIHSS score has good predictive efficacy for ischemic stroke complicated with DVT.
3.Analysis of the safety of dinutuximab β for the treatment of neuroblastoma
Anle SHEN ; Yali HAN ; Liting YU ; An'an ZHANG ; Jie ZHAO ; Qiushi YANG ; Haonan LI ; Zhiling LI ; Yijin GAO
Journal of Chongqing Medical University 2025;50(8):1042-1046
Objective:To analyze the clinical characteristics of adverse reactions caused by dinutuximab β for the treatment of neuro-blastoma(NB)in China and to provide safety evidence for the rational use of dinutuximab β in clinical practice.Methods:Clinical data were retrospectively collected from 16 pediatric patients with NB who had been treated with dinutuximab β at Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine from January 2022 to November 2023,and the adverse reactions caused by dinutuximab β were summarized and analyzed.Results:The male-to-female ratio was 5:3 among the 16 children with NB.The retroperitoneum was the main initial site of involvement,accounting for 75%.Thirteen(81.25%)patients had high-risk NB.The adverse reactions caused by dinutuximab β mainly included decreased hemoglobin,fever,vomiting,and diarrhea.The inci-dence of adverse reactions was highest in the first course of treatment,and the median time of adverse reactions was 2-5 days.Conclu-sion:Targeted monitoring should be carried out at an early stage during dinutuximab β administration.Adverse reactions should be de-tected and managed early to ensure the safety of medication for children.
4.Role of macrophages in the pathogenesis of septic cardiomyopathy.
Linke ZHANG ; Zhiling ZHAO ; Tingcui LI ; Wen LI ; Yuxin LENG ; Qinggang GE
Chinese Critical Care Medicine 2025;37(3):305-309
Sepsis is a life-threatening organ dysfunction caused by the body's dysregulated response to infection. Reversible myocardial dysfunction caused by sepsis is known as septic cardiomyopathy. A thorough understanding of the pathogenesis of septic cardiomyopathy is crucial for early intervention to prevent its progression and improve the success rate of sepsis treatment. At present, the research on the pathogenesis of septic cardiomyopathy mainly focuses on two aspects: the systemic neuroimmune mechanism and the local changes of cardiomyocytes. The former mainly includes the autonomic nervous dysfunction mainly caused by sympathetic overactivation and the inflammatory storm induced by immune response disorder. The latter covers the dysregulation of calcium homeostasis, mitochondrial dysfunction and energy metabolism disorder of cardiomyocytes. Immune dysfunction is one of the key factors that cause the poor prognosis of patients with septic cardiomyopathy. Macrophages are sentinel cells of the body's innate immunity. Cardiac macrophages have been confirmed to be one of the most heterogeneous immune cells in the heart. According to their origin and differentiation, they can be divided into bone marrow-derived tissue infiltrating macrophages and cardiac resident macrophages, which have roles of polarization, phagocytosis, regulation of inflammatory response, and participate in innate and adaptive immunity. In the occurrence and development of septic cardiomyopathy, cardiac macrophages recruited from the blood participate in balancing the inflammation and repair of myocardial tissue through the conversion of pro-inflammatory phenotype and anti-inflammatory phenotype. Cardiac resident macrophages mediate immune phagocytosis to maintain the local homeostasis of cardiomyocytes, and the glycometabolic reprogramming of macrophages regulates the release of inflammatory factors, while macrophage metabolic reprogramming regulates the release of inflammatory factors. A deeper understanding of the biological behavior of macrophages, and regulating the polarization, metabolism and phagocytosis of cardiac macrophages, could serve as new target for the prevention and treatment of septic cardiomyopathy. Therefore, this article reviews the key pathogenesis of septic cardiomyopathy and the role of macrophages of different origins and differentiation, revealing the possibility of developing new strategies for the prevention and treatment of septic cardiomyopathy.
Humans
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Cardiomyopathies/pathology*
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Macrophages/immunology*
;
Sepsis/complications*
;
Myocytes, Cardiac
5.Explore the effectiveness of a tracheal intubation training system based on virtual reality technology in cultivating the clinical practice abilities of resident physicians
Qiang ZHANG ; Kuangjian XIONG ; Bin HAN ; Zhiling ZHAO ; Qinggang GE
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2025;32(4):476-480
Objective To explore the effectiveness of a tracheal intubation training system based on virtual reality(VR)technology in cultivating the clinical practice abilities of resident physicians.Methods Twenty-five first-year resident physicians who were enrolled in the residency programme at Peking University Third Hospital from August 2024 to February 2025 were recruited for this study.All participants completed a questionnaire after receiving VR-based intensive care unit(ICU)emergency tracheal intubation training,to share their experiences with the VR technology-based ICU emergency tracheal intubation training and the shortcomings encountered during the process.Results ① General information:a total of 25 resident physician questionnaires were distributed in this study and received 25 valid responses(response rate 100%).Among the 25 residents,there were 15 males(60%)and 10 females(40%),with an average age of(25.3±0.8)years.Clinical experience was categorised as≤1 year 4 residents(16%),>1-3 years 8 residents(32%),>3-<5 years 5 residents(20%)and≥5 years 8 residents(32%).Among them,3 residents(12%)had no prior tracheal intubation experience,while 11(44%)had performed>10 intubations.Prior to this training,3 residents(12%)had received other forms of virtual tracheal intubation training,whereas 22(88%)had not.During traditional tracheal intubation training,18 residents(72%)reported that they monitored heart rate and blood pressure,whereas 7(28%)did not.In real-world emergency tracheal intubation scenarios,21 residents(84%)experienced role confusion.Additionally,23 residents(92%)believed that opportunities for tracheal intubation practice were too limited,17(68%)thought traditional training provided more guidance from instructors,and 15(60%)valued practical operation opportunities more in tracheal intubation training.②VR-based ICU emergency tracheal intubation training experience:23 residents(92%)considered the VR-based ICU emergency tracheal intubation training effective,with 13(52%)believing it to be more effective than traditional training.Furthermore,23 residents(92%)felt that the VR-based training created a more relaxed learning atmosphere,heightened their interest in learning tracheal intubation,and had better future prospects;22 residents(88%)believed that VR technology facilitated a better understanding of the laryngeal structure;24 residents(96%)thought that VR-based training reduced practical operation risks and better simulated real-world conditions;16 residents(64%)were highly satisfied with the VR-based ICU emergency tracheal intubation operating system;24 residents(96%)considered the case scenarios in the VR-based training reasonable.17 residents(68%)believed that VR-based training offered more learning opportunities,and 19 residents(76%)thought it reduced anxiety during the intubation process.③ Disadvantages of VR-based ICU emergency tracheal intubation:9 residents(36%)tended to overlook obtaining family consent before emergency tracheal intubation prior to the training.Regarding interactivity,5 residents(20%)rated it as excellent,9(36%)as average,and 11 residents(44%)believe that the interactivity was poor;22 residents(88%)felt a lack of tactile feedback during practical operations;20 residents(80%)recommended adding more simulated scenarios;11 residents(44%)believed that,compared to traditional training,VR training lacked practical operation opportunities.Additionally,17 residents(68%)experienced discomfort such as dizziness during the operation.Conclusion VR-based intubation training effectively enhances technical proficiency and psychological preparedness in ICU clinicians,particularly in anatomical visualization and risk-controlled rehearsal.
6.Development of an intensive care unit emergency tracheal intubation training course for resident physicians in critical care medicine based on virtual simulation technology
Zhiling ZHAO ; Kuangjian XIONG ; Bin HAN ; Qiang ZHANG ; Qinggang GE
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2025;32(2):217-219
Tracheal intubation in emergency and complex scenarios is difficult for critical care medicine residents.Virtual reality(VR)technology has not been used in the training of tracheal intubation in critical care scenarios in China.This project team has developed an emergency tracheal intubation training system for the intensive care unit(ICU)based on virtual simulation technology,and has obtained the computer software copyright registration certificate from the National Copyright Administration(registration number:2024SR1139484).This system uses a case script of acute respiratory distress syndrome(ARDS)secondary to severe acute pancreatitis,sets the roles of patients,family members,nurses and residents,collects digital resources of ICU rescue scenes,computer-aided design(CAD)drawings,instrument models and equipment photos,models instruments and equipment,and uses PICO 4 Pro VR helmets to display the ICU environment in the virtual scene.The key points of skill assessment include tracheal intubation operation,the ability to interpret laboratory results,the ability to judge diseases and the ability to work in teams.The user center contains 3 submodules,namely,the score center,skill analysis and user management.There are 3 user roles in the system,namely,residents,teachers and administrators.The system can track and record the entire operation process,including video recording and playback,and score and comprehensively evaluate each step,thereby realizing an objective and quantitative training and assessment system.By simulating the three-dimensional clinical operation environment of the ICU,the entire process of real tracheal intubation is fully reproduced.Resident doctors are placed in the ICU rescue scene,focusing on training tracheal intubation skills,the ability of doctor-patient communication,on-the-spot response,and teamwork,which is expected to become an important type of standardized teaching in critical care medicine.
7.Predictive value of frailty in post-stroke depression among patients with acute ischemic stroke
Yan HE ; Shuqi SHI ; Yundi YIN ; Zhiling ZHAO ; Qiurong HAN ; Wenling CUI ; Haiya SUN ; Yan YANG
Chinese Journal of Modern Nursing 2025;31(20):2686-2692
Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.
8.Development of an intensive care unit emergency tracheal intubation training course for resident physicians in critical care medicine based on virtual simulation technology
Zhiling ZHAO ; Kuangjian XIONG ; Bin HAN ; Qiang ZHANG ; Qinggang GE
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2025;32(2):217-219
Tracheal intubation in emergency and complex scenarios is difficult for critical care medicine residents.Virtual reality(VR)technology has not been used in the training of tracheal intubation in critical care scenarios in China.This project team has developed an emergency tracheal intubation training system for the intensive care unit(ICU)based on virtual simulation technology,and has obtained the computer software copyright registration certificate from the National Copyright Administration(registration number:2024SR1139484).This system uses a case script of acute respiratory distress syndrome(ARDS)secondary to severe acute pancreatitis,sets the roles of patients,family members,nurses and residents,collects digital resources of ICU rescue scenes,computer-aided design(CAD)drawings,instrument models and equipment photos,models instruments and equipment,and uses PICO 4 Pro VR helmets to display the ICU environment in the virtual scene.The key points of skill assessment include tracheal intubation operation,the ability to interpret laboratory results,the ability to judge diseases and the ability to work in teams.The user center contains 3 submodules,namely,the score center,skill analysis and user management.There are 3 user roles in the system,namely,residents,teachers and administrators.The system can track and record the entire operation process,including video recording and playback,and score and comprehensively evaluate each step,thereby realizing an objective and quantitative training and assessment system.By simulating the three-dimensional clinical operation environment of the ICU,the entire process of real tracheal intubation is fully reproduced.Resident doctors are placed in the ICU rescue scene,focusing on training tracheal intubation skills,the ability of doctor-patient communication,on-the-spot response,and teamwork,which is expected to become an important type of standardized teaching in critical care medicine.
9.Predictive value of frailty in post-stroke depression among patients with acute ischemic stroke
Yan HE ; Shuqi SHI ; Yundi YIN ; Zhiling ZHAO ; Qiurong HAN ; Wenling CUI ; Haiya SUN ; Yan YANG
Chinese Journal of Modern Nursing 2025;31(20):2686-2692
Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.
10.Explore the effectiveness of a tracheal intubation training system based on virtual reality technology in cultivating the clinical practice abilities of resident physicians
Qiang ZHANG ; Kuangjian XIONG ; Bin HAN ; Zhiling ZHAO ; Qinggang GE
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2025;32(4):476-480
Objective To explore the effectiveness of a tracheal intubation training system based on virtual reality(VR)technology in cultivating the clinical practice abilities of resident physicians.Methods Twenty-five first-year resident physicians who were enrolled in the residency programme at Peking University Third Hospital from August 2024 to February 2025 were recruited for this study.All participants completed a questionnaire after receiving VR-based intensive care unit(ICU)emergency tracheal intubation training,to share their experiences with the VR technology-based ICU emergency tracheal intubation training and the shortcomings encountered during the process.Results ① General information:a total of 25 resident physician questionnaires were distributed in this study and received 25 valid responses(response rate 100%).Among the 25 residents,there were 15 males(60%)and 10 females(40%),with an average age of(25.3±0.8)years.Clinical experience was categorised as≤1 year 4 residents(16%),>1-3 years 8 residents(32%),>3-<5 years 5 residents(20%)and≥5 years 8 residents(32%).Among them,3 residents(12%)had no prior tracheal intubation experience,while 11(44%)had performed>10 intubations.Prior to this training,3 residents(12%)had received other forms of virtual tracheal intubation training,whereas 22(88%)had not.During traditional tracheal intubation training,18 residents(72%)reported that they monitored heart rate and blood pressure,whereas 7(28%)did not.In real-world emergency tracheal intubation scenarios,21 residents(84%)experienced role confusion.Additionally,23 residents(92%)believed that opportunities for tracheal intubation practice were too limited,17(68%)thought traditional training provided more guidance from instructors,and 15(60%)valued practical operation opportunities more in tracheal intubation training.②VR-based ICU emergency tracheal intubation training experience:23 residents(92%)considered the VR-based ICU emergency tracheal intubation training effective,with 13(52%)believing it to be more effective than traditional training.Furthermore,23 residents(92%)felt that the VR-based training created a more relaxed learning atmosphere,heightened their interest in learning tracheal intubation,and had better future prospects;22 residents(88%)believed that VR technology facilitated a better understanding of the laryngeal structure;24 residents(96%)thought that VR-based training reduced practical operation risks and better simulated real-world conditions;16 residents(64%)were highly satisfied with the VR-based ICU emergency tracheal intubation operating system;24 residents(96%)considered the case scenarios in the VR-based training reasonable.17 residents(68%)believed that VR-based training offered more learning opportunities,and 19 residents(76%)thought it reduced anxiety during the intubation process.③ Disadvantages of VR-based ICU emergency tracheal intubation:9 residents(36%)tended to overlook obtaining family consent before emergency tracheal intubation prior to the training.Regarding interactivity,5 residents(20%)rated it as excellent,9(36%)as average,and 11 residents(44%)believe that the interactivity was poor;22 residents(88%)felt a lack of tactile feedback during practical operations;20 residents(80%)recommended adding more simulated scenarios;11 residents(44%)believed that,compared to traditional training,VR training lacked practical operation opportunities.Additionally,17 residents(68%)experienced discomfort such as dizziness during the operation.Conclusion VR-based intubation training effectively enhances technical proficiency and psychological preparedness in ICU clinicians,particularly in anatomical visualization and risk-controlled rehearsal.

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