1.Single-center analysis of unplanned reoperation case after liver transplantation
Zhi CHEN ; Qingqing DAI ; Fan HUANG ; Guobin WANG ; Xiaojun YU ; Ruolin WU ; Liujin HOU ; Zhenghui YE ; Xinghua ZHANG ; Wei WANG ; Xiaoping GENG ; Hongchuan ZHAO
Organ Transplantation 2026;17(3):452-459
Objective To analyze the main causes and risk factors of unplanned reoperation after liver transplantation. Methods The clinical data of 242 liver transplant recipients in the First Affiliated Hospital of Anhui Medical University from January 2015 to December 2024 were retrospectively analyzed. According to whether unplanned reoperation was performed during the same hospitalization after surgery, the recipients were divided into the reoperation group (n=36) and the non-reoperation group (n=206). The preoperative, intraoperative and postoperative data of the two groups, as well as donor and graft-related data, were compared to analyze the risk factors of unplanned reoperation after liver transplantation and the survival status of the two groups. Results Among the 242 liver transplant recipients, 36 underwent unplanned reoperations, with a total of 54 procedures including various laparotomies, endoscopic and interventional surgeries, among which there were 20 laparotomies, 18 endoscopic surgeries and 16 interventional surgeries. The most common cause of unplanned reoperation was biliary complications (20 times), followed by vascular complications (17 times). Compared with the non-reoperation group, the reoperation group had longer graft cold ischemia time, higher postoperative fatality rate of recipients, longer length of stay in the intensive care unit and postoperative hospital stay, and higher total hospitalization costs (all P<0.05). The incidence of unplanned reoperation was higher in recipients who underwent split liver transplantation (P<0.05). Multivariate analysis showed that intraoperative blood loss ≥1 000 mL, positive culture of graft perfusate and split liver transplantation were independent risk factors for unplanned reoperation (all P<0.05). The postoperative 7-day, 1-month, 3-month and 6-month survival rates of recipients in the reoperation group and the non-reoperation group were 100% vs. 98.1%, 88.9% vs. 94.2%, 69.4% vs. 90.8% and 66.7% vs. 90.8%, respectively, and the postoperative survival rate of recipients in the reoperation group was lower than that in the non-reoperation group (P<0.05). Conclusions The main causes of unplanned reoperation after liver transplantation are biliary complications, vascular complications, abdominal incision infection and intra-abdominal hemorrhage. Intraoperative massive blood loss, positive culture of graft perfusate and split liver transplantation are the risk factors associated with unplanned reoperation after liver transplantation.
2.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.
3.Characteristics of imprinted differentially methylated regions in preeclampsia placenta
Huijun TANG ; Xiaojun JIA ; Xinzhi ZHAO ; Weiping YE
Chinese Journal of Clinical Medicine 2025;32(1):65-71
Objective To investigate the characteristics of imprinted differentially methylated regions (iDMRs) in placentas and their correlation with preeclampsia (PE). Methods A total of 43 healthy pregnant women (control group) and 33 pregnant women with PE (PE group) at Shanghai Putuo Maternity and Infant Hospital and International Peace Maternal and Child Health Hospital, Shanghai Jiao Tong University School of Medicine from September 2021 to September 2023 were selected. A total of 3 362 CpG sites in 62 iDMRs were analyzed in 76 placenta and 5 maternal blood samples using BisCap targeted bisulfite resequencing (BisCap-seq) assays. The CpG sites in the CpG islands of the iDMRs were assessed for their methylation levels and methylation linkage disequilibrium (MLD). Imprinted methylation haplotype blocks (iMHBs) were constructed based on MLD. The methylation levels and variablility of CpG sites and iMHBs were compared among the healthy placenta, PE placenta and blood samples. Results The CpG sites in the CpG islands of the iDMRs exhibited intermediate methylation, with adjacent sites displaying high MLD (methylation levels: 0.35-0.65, D’ > 0.8). A total of 185 iMHBs were constructed using these coupled CpG sites, 60 placenta-specific iMHBs and 38 somatic iMHBs were found to be differentially methylated in the placenta compared with maternal blood (Padj<0.05). Twenty-seven iMHBs were identified with differentially variable methylation patterns in the placenta. The iMHBs methylation was unchanged in the PE placentas compared to the healthy placentas. Twenty-seven differentially methylated cytosines (DMCs) were identified outside the iMHBs structure, among which the methylation levels of 19 CpG sites showed statistically significant differences between the PE group and the control group (Padj<0.05). The quantitative results of placental compositions of maternal plasma cell-free DNA (cfDNA) using placenta-specific haplotype (PSH) were highly correlated with those estimated by a deconvolution methodology (r=0.973, P<0.01). Conclusions The genomic imprinting features in the PE placentas were obvious, and PSH could be a potential marker of the placenta to quantify the placental compositions of maternal plasma cfDNA.
4.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
5.Long-term efficacy of CMV/EBV bivirus-specific T cells for viral co-reactivation after stem cell transplantation.
Xuying PEI ; Meng LV ; Xiaodong MO ; Yuqian SUN ; Yuhong CHEN ; Chenhua YAN ; Yuanyuan ZHANG ; Lanping XU ; Yu WANG ; Xiaohui ZHANG ; Xiaojun HUANG ; Xiangyu ZHAO
Chinese Medical Journal 2025;138(5):607-609
6.Preemptive immunotherapy for KMT2A rearranged acute leukemias post-allogeneic stem cell transplantation.
Jing LIU ; Shuang FAN ; Xiaohui ZHANG ; Lanping XU ; Yu WANG ; Yifei CHENG ; Chenhua YAN ; Yuhong CHEN ; Yuanyuan ZHANG ; Meng LV ; Yazhen QIN ; Xiaosu ZHAO ; Xiaojun HUANG ; Xiaodong MO
Chinese Medical Journal 2025;138(22):3034-3036
7.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
8.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
9.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
10.Therapeutic efficacy of wire-assisted dynamic traction with corrective device on congenital nipple inversion with long-term follow-up
Hairu CAO ; Zirong LI ; Ru ZHAO ; Lin ZHU ; Chenyu WANG ; Xiaojun WANG
Chinese Journal of Medical Aesthetics and Cosmetology 2025;31(4):394-397
Objective:To analyze the therapeutic efficacy and long-term outcomes of wire-assisted dynamic traction with corrective device for congenital nipple inversion.Methods:A retrospective study was conducted on 22 female patients (42 nipples) with congenital nipple inversion treated at the Department of Plastic Surgery, Peking Union Medical College Hospital from January to December 2017. The patients′ age was 18-54 (27.6±1.9) years. All patients underwent wire-assisted dynamic traction correction. Postoperative indicators including numerical rating scale (NRS) pain scores, nipple skin microcirculatory disorders, and traction duration were recorded. Follow-up assessments via telephone interviews were completed by September 20, 2022; mean follow-up time was (63.68±3.73) months. Evaluating questions included nipple retraction, fertility status and breastfeeding outcomes.Results:Pain in the operative area was non-radiating, and the pain level decreased over time. Mean NRS were (5.4±1.5) scores on surgery day, decreasing to (4.4±1.2) scores at postoperative day 1 and (3.3±1.7) scores at day 2. Microcirculatory assessments revealed Grade 0-I (intact skin) in 78.6% (33/42), Grade II (skin ulceration) in 14.3% (6/42), and Grade III (partial necrosis) in 7.1% (3/42) of the nipples, with no Grade IV necrosis observed. Successful device placement was achieved in all cases (42/42), with traction duration ranging 6-15 (9.6±0.6) months. Follow-up data from 12 patients (23 nipples) showed mild retraction in 3 nipples. Three patients subsequently delivered infants and successfully achieved breastfeeding.Conclusion:The wire-assisted dynamic traction method with corrective device demonstrates satisfactory therapeutic outcomes for congenital nipple inversion patients with favorable long-term maintenance and breastfeeding compatibility.

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