1.Allogeneic lung transplantation in miniature pigs and postoperative monitoring
Yaobo ZHAO ; Ullah SALMAN ; Kaiyan BAO ; Hua KUI ; Taiyun WEI ; Hongfang ZHAO ; Xiaoting TAO ; Xinzhong NING ; Yong LIU ; Guimei ZHANG ; He XIAO ; Jiaoxiang WANG ; Chang YANG ; Feiyan ZHU ; Kaixiang XU ; Kun QIAO ; Hongjiang WEI
Organ Transplantation 2026;17(1):95-105
Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO2) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.
2.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
3.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
4.Consensus on Hemodynamic Management in Adult Veno-Arterial Extracorporeal Membrane Oxygenation (2026 Edition)
Wei CHENG ; Shuhan CAI ; Ying ZHU ; Zhongran CEN ; Hua ZHAO ; Huan CHEN ; Yangong CHAO ; Xiaoting WANG ; Xin DING
Medical Journal of Peking Union Medical College Hospital 2026;17(3):784-797
Despite significant advances in the field of critical care medicine over the past three decades, veno-arterial extracorporeal membrane oxygenation (V-A ECMO) remains the primary temporary mechanical circulatory support modality for patients with acute severe circulatory failure. With the accumulation of clinical experience and the increasing maturity of operational techniques in V-A ECMO, its technical management—particularly hemodynamic management—has become a key factor influencing patient outcomes. To further improve patient survival, the Chinese Critical Care Ultrasound Study Group, in collaboration with the Hemodynamic Therapy of Critical Care Collaborative Group and the Critical Care Medicine Branch of the China International Exchange and Promotive Association for Medical and Health Care, organized experts in critical care medicine to develop the
5.Application value of a joint prediction model based on lymph node imaging features in evalua-ting lymph node metastasis of locally advanced rectal cancer patients after neoadjuvant che-moradiotherapy
Haitao ZHU ; Huici ZHU ; Xiaoting LI ; Yingshi SUN ; Xiaoyan ZHANG
Chinese Journal of Digestive Surgery 2025;24(6):769-776
Objective:To investigate the application value of a joint prediction model based on lymph node imaging features in evaluating lymph node metastasis of locally advanced rectal cancer (LARC) patients after neoadjuvant chemoradiotherapy (nCRT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 215 LARC patients who were admitted to Peking University Cancer Hospital & Institute from July 2010 to June 2015 were collected. There were 131 males and 84 females, aged (56.7±10.1)years. All 215 patients were randomly divided into a training set of 143 cases and a testing set of 72 cases using a 2∶1 ratio of random seed numbers. The training set was used to construct the prediction model, and the testing set was used to validate the performance of prediction model. Observation indicators: (1) lymph node metastasis in LARC patients after nCRT; (2) imaging feature selection and model construction and evaluation. Com-parison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. Performance evaluation of prediction model was conducted using the receiver operating characteristic (ROC) curve. The area under the curve (AUC), accuracy, sensitivity, and specificity were calculated. Calibration curves and decision curves were used to evaluate the consistency and clinical application value of the prediction model. Results:(1) Lymph node metastasis in LARC patients after nCRT. Of the 215 LARC patients after nCRT, results of postoperative pathological examination showed that there were 162 cases with negative lymph node metastasis and 53 cases with positive lymph node metastasis, showing significant differences in age and maximum short-axis diameter of lymph node between them ( t=2.178, Z=-5.305, P<0.05). (2) Imaging feature selection and model construction and evaluation. Forty-one imaging features were extracted from the 215 LARC patients after nCRT, including 9 gray-level first-order features, 24 gray-level co-occurrence matrix features and 8 shape features. The score of lymph node (LNscore) in 162 cases with negative lymph node metastasis and 53 cases with positive lymph node metastasis were 0.18(0.10,0.33) and 0.39(0.23,0.54), respectively, showing a significant difference between them ( Z=-5.487, P<0.05). Results of multivariate analysis showed that maximum short-axis diameter of lymph node and LNscore were independent factors influencing lymph node metastasis of LARC patients after nCRT ( odds ratio=1.277, 25.514, 95% confidence interval as 1.010-1.614, 2.003-324.964, P<0.05). A Logistic regression joint prediction model was constructed by incorporating the maximum short-axis diameter of lymph node and LNscore. The ROC curves results showed that the AUC, accuracy, sensitivity, and specificity of the joint prediction model in the training set were 0.779 (95% confidence interval as 0.702-0.844), 72.7%, 71.4%, and 73.2%, respectively. The above indicators in the testing set were 0.805 (95% confidence interval as 0.694-0.889), 80.6%, 66.7%, and 85.2%, respectively. Calibration curves in both training set and test set showed good agreement with the ideal curve, indicating high calibration. Decision curves demonstrated the model′s clinical utility with a high net benefit. Conclusion:The maximum short-axis diameter of lymph node and LNscore are independent factors influencing lymph node metastasis of LARC patients after nCRT. The joint prediction model constructed based on the above indicators can be used to predict lymph node metastasis in LARC patients after nCRT.
6.Research progress of transcription factor EB and myocardial ischemic injury
Yuan ZHANG ; Hao LIN ; Xiaoting ZHU ; Yinghua CUI
Chinese Journal of Arteriosclerosis 2025;33(11):997-1003
Acute myocardial infarction is caused by continuous ischemia and hypoxia of myocardial cells,leading to myocardial cell necrosis.Reperfusion therapy is the standard strategy for reducing infarct size and improving the prognosis of myocardial infarction.However,myocardial injury caused by reperfusion therapy is accompanied by various pathophys-iological processes,such as oxidative stress,inflammatory response,myocardial fibrosis,extracellular matrix remodeling,etc.Transcription factor EB(TFEB)is a central regulatory factor in the autophagy-lysosome signaling pathway,involved in signaling pathways such as stress response,myocardial energy metabolism,autophagy,and lysosomal biogenesis.It is closely related to the repair of myocardial injury after myocardial infarction.This review aims to elucidate the mechanism of TFEB in myocardial ischemic injury.
7.Research progress of transcription factor EB and myocardial ischemic injury
Yuan ZHANG ; Hao LIN ; Xiaoting ZHU ; Yinghua CUI
Chinese Journal of Arteriosclerosis 2025;33(11):997-1003
Acute myocardial infarction is caused by continuous ischemia and hypoxia of myocardial cells,leading to myocardial cell necrosis.Reperfusion therapy is the standard strategy for reducing infarct size and improving the prognosis of myocardial infarction.However,myocardial injury caused by reperfusion therapy is accompanied by various pathophys-iological processes,such as oxidative stress,inflammatory response,myocardial fibrosis,extracellular matrix remodeling,etc.Transcription factor EB(TFEB)is a central regulatory factor in the autophagy-lysosome signaling pathway,involved in signaling pathways such as stress response,myocardial energy metabolism,autophagy,and lysosomal biogenesis.It is closely related to the repair of myocardial injury after myocardial infarction.This review aims to elucidate the mechanism of TFEB in myocardial ischemic injury.
8.Application value of a joint prediction model based on lymph node imaging features in evalua-ting lymph node metastasis of locally advanced rectal cancer patients after neoadjuvant che-moradiotherapy
Haitao ZHU ; Huici ZHU ; Xiaoting LI ; Yingshi SUN ; Xiaoyan ZHANG
Chinese Journal of Digestive Surgery 2025;24(6):769-776
Objective:To investigate the application value of a joint prediction model based on lymph node imaging features in evaluating lymph node metastasis of locally advanced rectal cancer (LARC) patients after neoadjuvant chemoradiotherapy (nCRT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 215 LARC patients who were admitted to Peking University Cancer Hospital & Institute from July 2010 to June 2015 were collected. There were 131 males and 84 females, aged (56.7±10.1)years. All 215 patients were randomly divided into a training set of 143 cases and a testing set of 72 cases using a 2∶1 ratio of random seed numbers. The training set was used to construct the prediction model, and the testing set was used to validate the performance of prediction model. Observation indicators: (1) lymph node metastasis in LARC patients after nCRT; (2) imaging feature selection and model construction and evaluation. Com-parison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. Performance evaluation of prediction model was conducted using the receiver operating characteristic (ROC) curve. The area under the curve (AUC), accuracy, sensitivity, and specificity were calculated. Calibration curves and decision curves were used to evaluate the consistency and clinical application value of the prediction model. Results:(1) Lymph node metastasis in LARC patients after nCRT. Of the 215 LARC patients after nCRT, results of postoperative pathological examination showed that there were 162 cases with negative lymph node metastasis and 53 cases with positive lymph node metastasis, showing significant differences in age and maximum short-axis diameter of lymph node between them ( t=2.178, Z=-5.305, P<0.05). (2) Imaging feature selection and model construction and evaluation. Forty-one imaging features were extracted from the 215 LARC patients after nCRT, including 9 gray-level first-order features, 24 gray-level co-occurrence matrix features and 8 shape features. The score of lymph node (LNscore) in 162 cases with negative lymph node metastasis and 53 cases with positive lymph node metastasis were 0.18(0.10,0.33) and 0.39(0.23,0.54), respectively, showing a significant difference between them ( Z=-5.487, P<0.05). Results of multivariate analysis showed that maximum short-axis diameter of lymph node and LNscore were independent factors influencing lymph node metastasis of LARC patients after nCRT ( odds ratio=1.277, 25.514, 95% confidence interval as 1.010-1.614, 2.003-324.964, P<0.05). A Logistic regression joint prediction model was constructed by incorporating the maximum short-axis diameter of lymph node and LNscore. The ROC curves results showed that the AUC, accuracy, sensitivity, and specificity of the joint prediction model in the training set were 0.779 (95% confidence interval as 0.702-0.844), 72.7%, 71.4%, and 73.2%, respectively. The above indicators in the testing set were 0.805 (95% confidence interval as 0.694-0.889), 80.6%, 66.7%, and 85.2%, respectively. Calibration curves in both training set and test set showed good agreement with the ideal curve, indicating high calibration. Decision curves demonstrated the model′s clinical utility with a high net benefit. Conclusion:The maximum short-axis diameter of lymph node and LNscore are independent factors influencing lymph node metastasis of LARC patients after nCRT. The joint prediction model constructed based on the above indicators can be used to predict lymph node metastasis in LARC patients after nCRT.
9.Relationship between depression and sexual drug use in men who have sex with men in Chengdu
Ruiwen LIU ; Yang ZHU ; Bo ZHANG ; Xiaoting CHEN ; Chun HAO ; Jing GU ; Jinghua LI ; Wangnan CAO ; Fengsu HOU
Chinese Journal of Epidemiology 2025;46(3):462-468
Objective:To investigate the prevalence of sexual drug use in men who have sex with men (MSM) in Chengdu and analyze the relationship between depression and sexual drug use.Methods:A total of 1 277 MSM were recruited between November 2021 and May 2022. Questionnaire was used to collect information about their demographic characteristics, depression status and sexual drug use behavior. Univariate and multivariate logistic regression models were used to analyze the relationship between depression and sexual drug use.Results:In the 1 277 MSM, assessment identified 503 mild depression cases (39.4%), 196 moderate depression cases (15.3%) and 171 severe depression cases (13.4%) and 444 MSM (34.8%) reported sexual drug use in the past 6 months. Multivariate logistic regression models showed that compared with non-depression, mild depression (a OR=1.67,95% CI:1.24-2.23), moderate depression (a OR=1.50,95% CI: 1.02-2.19) and severe depression (a OR=1.56,95% CI:1.04-2.32) were positively associated with sexual drug use. Conclusions:The prevalence of depression and sexual drug use were high in MSM in Chengdu. There was a positive correlation between depression and sexual drug use. It is necessary to pay close attention to depression and sexual drug use and conduct targeted intervention in MSM.
10.Application of high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation in premature infants after weaning from the ventilator
Xiaoting LUO ; Di LI ; Su LIN ; Xiaochun YE ; Wuye ZHU
China Modern Doctor 2025;63(25):28-31
Objective To explore the application value of high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation in very low birth weight infants after weaning from invasive mechanical ventilation.Methods From February 2022 to May 2024,80 cases of very low birth weight infants who were weaned from invasive mechanical ventilation in Second Affiliated Hospital of Wenzhou Medical University were selected and divided into single ventilation group and combined oxygen therapy group according to the random number table method,with 40 cases in each group.Single ventilation group was intervened with non-invasive positive pressure ventilation,while combined oxygen therapy group was intervened with high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation.The disappearance time of clinical symptoms,the score of neonatal behavioral neurological assessment(NBNA),vitamin D and blood gas indicators of two groups of premature infants were compared.And the degree of broncho pulmonary dysplasia(BPD)in premature infants was evaluated.Results The disappearance time of clinical symptoms,non-invasive positive pressure ventilation time and total oxygen requirement time of preterm infants in combined oxygen therapy group were significantly shorter than those in single ventilation group(P<0.05).After 14 days of intervention,the NBNA scores,vitamin D,oxygenation index and blood oxygen saturation of premature infants in both groups were significantly higher than those before intervention in this group(P<0.05).The NBNA score,vitamin D,oxygenation index and blood oxygen saturation of preterm infants in combined oxygen therapy group were significantly higher than those in single ventilation group(P<0.05).The degree of BPD in combined oxygen therapy group was significantly milder than that in single ventilation group(x2=8.571,P=0.003).Conclusion After weaning from invasive mechanical ventilation in very low birth weight infants,high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation intervention can help reduce inflammatory responses and brain damage,improve blood gas indicators,and lower the degree of BPD.

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