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.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.
4.Value of CXC motif chemokine ligand 10 and CC motif chemokine ligand 11 in peripheral blood in predicting type 2 diabetic osteoporosis:a prospective cohort study and predictive model construction
Yu HOU ; Xiaojun ZHANG ; Jiachen WEI ; Yanbo WANG
Journal of Clinical Medicine in Practice 2025;29(19):65-72
Objective To investigate the relationships of CXC motif chemokine ligand 10(CXCL10)and CC motif chemokine ligand 11(CCL11)in the peripheral blood with type 2 diabetic osteoporosis(T2DOP),and to construct a predictive model.Methods A total of 260 patients with type 2 diabetes mellitus(T2DM)were prospectively selected as the T2DM group.They were divided into T2DOP group(n=82)and non-T2DOP group(n=178)according to the occurrence of T2DOP.Additionally,68 healthy volunteers with physical examinations in the same period were se-lected as control group.Enzyme-linked immunosorbent assay was used to detect the levels of CXCL10 and CCL11 in the peripheral blood as well as bone metabolism indicators[β-C-terminal te-lopeptide of type Ⅰ collagen(β-CTX),N-terminal propeptide of type Ⅰ procollagen(PⅠNP)].Pear-son correlation analysis was used to explore the correlation of CXCL10 and CCL11 in peripheral blood with bone metabolism indicator levels in patients with T2DM.Multifactor non-conditional Logistic regression analysis was used to explore the influencing factors of T2DOP and construct a pre-dictive model.The Hosmer-Lemeshow(H-L)test was used to assess the goodness of fit.The re-ceiver operating characteristic(ROC)curve analysis was used to evaluate the predictive value of each indicator and the predictive model for T2DOP,and decision curve analysis and Bootstrap resa-mpling were used for internal validation.Results Compared with the control group,the levels of CXCL10 and CCL11 in the peripheral blood as well as β-CTX in the T2DM group were significantly increased,while the level of P Ⅰ NP was significantly decreased(P<0.05).Pearson correlation a-nalysis showed that CXCL10 and CCL11 in the peripheral blood in patients with T2DM were posi-tively correlated with β-CTX level(r=0.786,0.816,P<0.001)and negatively correlated with P ⅠNP level(r=-0.675,-0.716,P<0.001).Compared with the non-T2DOP group,the T2DOP group had significantly increased age and the ratio of diabetic nephropathy,prolonged dura-tion of diabetes,decreased body mass index(BMI)and P ⅠNP levels,and increased fasting blood glucose,glycated hemoglobin(HbA1c),β-CTX,CXCL10,and CCL11 levels(P<0.05).Non-conditional Logistic regression analysis showed that advanced age,long duration of diabetes,high HbA1c,high CXCL10,and high CCL11 were independent risk factors for T2DOP(P<0.05),while high BMI was an independent protective factor(P<0.05).The ROC curve showed that the area under the curve(AUC)of the predictive model for predicting T2DOP was 0.919,which was significantly greater than the AUCs of 0.643,0.742,0.654,0.715,0.759 and 0.741 respectively for age,duration of diabetes,BMI,HbA1c,CXCL10 and CCL11 alone(Z=7.468,5.400,7.415,6.365,5.242,5.800,P<0.001).After internal validation,the decision curve of the predictive model was higher than the two extreme curves.After 1,000 times of Bootstrap resampling internal validations,the concordance index of the predictive model was 0.919(95%CI,0.914 to 0.923).Conclusion Increased levels of CXCL10 and CCL11 in the peripheral blood are associat-ed with T2DOP,and the predictive model constructed based on these factors has a high predictive value for T2DOP.
5.Analysis of Surgical Treatment Outcomes in 709 Cases of Infective Endocarditis
Chaoji ZHANG ; Zining WU ; Xingrong LIU ; Guotao MA ; Shangdong XU ; Jianzhou LIU ; Sheng YANG ; Yanxue ZHAO ; Xinpei LIU ; Xiaocui WANG ; Xiaojun MA ; Ligang FANG ; Chunhua YU ; Huaiwu HE ; Qi MIAO ; Jun ZHENG
Medical Journal of Peking Union Medical College Hospital 2025;17(1):197-203
To review the clinical characteristics, short-term outcomes, and risk factors of patients with infective endocarditis(IE) who underwent surgical treatment at a single center, and to summarize treatment experience. Consecutive patients diagnosed with IE who underwent cardiac surgery at the Department of Cardiac Surgery, Peking Union Medical College Hospital between May 2012 and June 2024 were enrolled. Statistical analyses were performed on their baseline characteristics, comorbidities, IE predisposing factors, surgical indications, pathogen distribution, surgical strategies, short-term outcomes, and associated risk factors. A total of 709 IE patients meeting the inclusion and exclusion criteria were included. IE involved left-sided valves in 85.3% of cases. The median age was 48(35, 58) years, and 68.0% were male. Prosthetic valve endocarditis accounted for 8.7%. Patients with left-sided IE had a higher prevalence of comorbidities. Streptococcus was the causative pathogen in 43.2% of patients, while right-sided IE was more frequently associated with Significant differences in pathogen distribution were observed between patients with left-sided and right-sided IE. Heart failure was identified as an independent risk factor for both perioperative mortality and adverse outcomes in surgically treated patients. Through strict timing of surgical intervention and optimized perioperative management, surgical treatment may effectively reduce mortality and improve prognosis in patients with IE.
6.Interpretation of WHO report 2020-2024: Global tuberculosis report and analysis of key data for China
Ning WANG ; Xixi FENG ; Sheng GONG ; Liangshuang JIANG ; Xiaojun YAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(09):1209-1215
Tuberculosis (TB) remains a major global public health threat. The World Health Organization (WHO) 2020–2024 global TB reports provide a comprehensive overview of the TB situation from 2019 to 2023. In 2023, TB re-emerged as the world's leading infectious killer, with an estimated 10.8 million new cases. While the growth in the incidence rate slowed, the number of deaths decreased to 1.25 million. The COVID-19 pandemic significantly disrupted TB control efforts in 2020–2021. As control measures are gradually restored, a positive trend in TB control is emerging. However, significant regional disparities in incidence persist, with eight high-burden countries, including India and China, accounting for over two-thirds of the global total. In 2023, global treatment coverage for drug-resistant TB (DR-TB) was 44.00% with a treatment success rate of 68.00%; yet, with 400 000 new drug-resistant cases, the control situation remains severe. China has achieved remarkable progress in TB control: new cases fell to 741 000 in 2023 (an incidence of 52 per 100 000); mortality decreased significantly; its share of the global DR-TB burden dropped from 14.00% to 7.30%; and the TB/HIV co-infection rate declined from 1.68% in 2019 to 0.66% in 2023, outperforming the global average. Globally, control measures continue to be optimized: treatment coverage increased from 70.00% in 2019 to 75.00% in 2023, the number of people receiving preventive therapy grew to 4.7 million, and rapid diagnostic coverage reached 48.00%. In China, the number of patients treated recovered to 565 000 in 2023, and rapid diagnostic coverage rose to 74.00%. Although technological innovations have enhanced the efficiency of prevention, screening, diagnosis, treatment, and management, achieving the 2030 End TB Strategy goals will require strengthening TB management, building primary healthcare capacity, and targeting interventions for high-risk populations, while balancing resource allocation with technological innovation to address the challenges of a heterogeneous global epidemic.
7.Epidemiological characteristics and immunization history of pertussis cases in Yichang City 2018 - 2023
Weiwei WANG ; Xiaojun LIU ; Yi YAN ; Jing JIANG ; Qiujing YU ; Wei JIANG ; Li GUO ; Jialian YU ; Guiwen LI ; Qiwei WANG
Journal of Public Health and Preventive Medicine 2025;36(6):86-89
Objective To analyze the epidemiological characteristics and immunization history of pertussis cases in Yichang City, Hubei Province from 2018 to 2023. Methods Data on the incidence and immunization history of pertussis cases were collected in Yichang City from 2018 to 2023, and the epidemiological characteristics was analyzed and described. Results A total of 109 cases of pertussis were reported in Yichang from 2018 to 2023, and the annual average reported incidence rate was 0.45/100,000. The incidence rate reported in each year was between 0~1.58/100,000. The area with the highest annual reported incidence rate was Xiling District (1.19/100,000). There was a statistically significant difference in the incidence rate between different years (χ2=208.26, P < 0.001). The annual reported incidence rate showed a significant increasing trend (χ2 trend =125.71, P < 0.001). The ratio of male to female cases was 1.22. There was no significant difference in the annual reported incidence rates between males and females (χ2=0.85, P=0.36). Children aged 3-9 years accounted for 60.55%. Students and scattered children accounted for 45.87% and 36.70%, respectively. Before the onset of the disease, 72.48% had a history of immunization with pertussis-containing vaccine, and 27.52% had no history of immunization. The shortest interval between the last dose of pertussis-containing vaccine and the onset of the disease was 8 days, the longest was 4057 days, and the median was 1882 days. Conclusion From 2018 to 2023, the reported incidence of pertussis in Yichang City has been on the rise, with the majority of cases occurring in children and students under the age of 9. It is recommended to strengthen pertussis disease monitoring.
8.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*
;
Biodegradation, Environmental
;
Soil Pollutants/isolation & purification*
;
Soil Microbiology
;
Plants, Genetically Modified/metabolism*
;
Bacteria/genetics*
9.Preparation of monoclonal antibodies with high specificity for glycated hemoglobin and establishment of a rapid detection method.
Chaofan YIN ; Yingfu ZHANG ; Kebei WANG ; Jichuang WANG ; Yongwei LI ; Xiaojun WANG ; Xudong WANG ; Panpan SHI ; Yunlong WANG
Chinese Journal of Biotechnology 2025;41(8):3165-3177
Hemoglobin A1c (HbA1c) has a unique structure that makes monoclonal antibody (mAb) preparation challenging. This study aims to develop a method for preparing HbA1c mAbs and establish a fluorescent immunochromatographic assay (FICA) for rapid detection of HbA1c. Three glycosylated peptides were synthesized and used to prepare complete antigens, which were identified by dot enzyme-linked immunosorbent assay (Dot-ELISA) and ultraviolet absorption spectroscopy. The complete antigens and natural HbA1c were used for cross-immunization of mice, and the optimal complete antigen was selected. The mouse with the highest serum titer was chosen for mAb preparation. The purity and specificity of the mAbs were verified, and a FICA method was developed. The optimal complete antigen, with a titer of 1:512 000, was successfully prepared and selected. Fusion with splenocytes resulted in four specific HbA1c antibodies (purity > 90%). The best antibody exhibited a binding constant (Ka) of 1.67×1010 L/mol with the antigen. Based on this antibody, a FICA method was successfully established, capable of producing results within 15 min. The method demonstrated a good linear range (3%-13% HbA1c, y=0.071 3x+0.005 6, R2=0.993 7), recovery rates of 98%-102%, precision < 10.00%, and no nonspecific reactions. Clinical testing of 210 samples showed positive agreement of 96.36%, negative agreement of 97.00%, and overall agreement of 96.68%. The receiver operating characteristic (ROC) curve analysis yielded an area under curve (AUC) of 0.980 9 [95% confidence interval (CI): 0.961 0-1.000 0], with high consistency verified in multicenter studies. We successfully developed a key technique for preparing HbA1c monoclonal antibodies and established a FICA method for rapid detection of HbA1c. It will provide an efficient and convenient detection method for the early diagnosis and long-term management of diabetes and its complications.
Antibodies, Monoclonal/biosynthesis*
;
Animals
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Mice
;
Glycated Hemoglobin/immunology*
;
Mice, Inbred BALB C
;
Humans
;
Antibody Specificity
;
Chromatography, Affinity/methods*
;
Enzyme-Linked Immunosorbent Assay/methods*
;
Female
10.Meta-integration of the experience of postpartum lifestyle changes in women with hypertensive disorders of pregnancy
Xiaojun LIU ; Lina WANG ; Jiaqi TIAN ; Ling ZHANG ; Yuanyuan LI ; Lijuan YANG
Chinese Journal of Practical Nursing 2025;41(23):1817-1825
Objective:To systematically assess qualitative studies exploring the experiences of postpartum lifestyle changes among women with hypertensive disorders of pregnancy, comprehensively integrate these experiences, and provide a foundational reference for the subsequent development of targeted healthy lifestyle interventions.Methods:A comprehensive computerized search was conducted across PubMed, Embase, Web of Science, Cochrane Library, Pro quest, CINAHL, China National Knowledge Infrastructure, Wanfang Database, VIP, and China Biomedical Database, encompassing all qualitative studies that met the inclusion criteria from the inception of the databases to June 21st 2024. The quality of the retrieved literature was evaluated using the Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research at the Joanna Briggs Institute, Australia. The results were integrated using the pooled integration method, and the quality of the integrated findings was rated using the ConQual method.Results:A total of 10 papers were included, and 23 findings were distilled and grouped into 9 new categories, resulting in 4 integrative findings: multiple dilemmas and challenges to postpartum lifestyle change, postpartum lifestyle change with the change of mother′s role, facilitators of postpartum lifestyle change, and impediments to postpartum lifestyle change.Conclusions:Postnatal lifestyle change in women with hypertensive disorders of pregnancy is crucial for improving prognosis. In the future, healthcare professionals should improve the social support system, promote postnatal role change to adapt to the new life, improve women′s awareness of risk and disease, maintain the continuity of postnatal follow-up, and incorporate a variety of behavioural change strategies to stimulate the motivation for lifestyle change, so as to promote the effective change of postnatal lifestyles.


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