Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

Objective To explore the clinical efficacy of robot-assisted coronary artery bypass grafting through a small incision in the left intercostal space in the treatment of multivessel coronary disease. Methods A retrospective analysis was conducted on the clinical data of patients who underwent coronary artery bypass grafting through a small incision in the left intercostal space at Central China Fuwai Hospital of Zhengzhou University from January 1, 2023 to October 15, 2024. Patients were divided into a robotic group and a minimally invasive group based on whether the surgery was assisted by the Da Vinci robot. Results A total of 81 patients were included, with 57 in the minimally invasive group, including 41 males and 16 females, with a median age of 65.0 (57.5, 69.5) years; and 24 in the robotic group, including 17 males and 7 females, with a median age of 61.0 (56.0, 69.0) years. There was no statistically significant difference in baseline data between the two groups (P>0.05). The robotic group had less intraoperative bleeding [300 (200, 438) mL vs. 500 (375, 600) mL, P=0.006], shorter postoperative mechanical ventilation time [15.0 (13.3, 23.5) h vs. 22.0 (15.5, 39.5) h, P=0.037], and lower incidence of postoperative pain [8 (33.3%) vs. 33 (57.9%), P=0.043]. The hospitalization cost in the robotic group was higher than that in the minimally invasive group [130491 (123298, 135691) yuan vs. 123892 (115543, 133449) yuan, P=0.023]. There was no statistical difference in postoperative laboratory indicators between the two groups (P>0.05). There was also no statistical difference in the duration of surgery, postoperative 24 h drainage volume, ICU stay time, postoperative hospital stay or incidences of perioperative compications including pleural effusion, transfusion, new-onset atrial fibrillation, acute kidney injury, non-union of incision, major cardiovascular and cerebrovascular adverse events, and reoperation between the two groups (P>0.05). Conclusion Compared with the minimally invasive group, the robotic group shows satisfactory efficacy and can effectively reduce postoperative pain and intraoperative bleeding, and shorten postoperative mechanical ventilation time.

Objective To establish an acute rejection model of cervical heart transplantation in mice and evaluate the survival and dynamic rejection process post-transplantation. Methods Mice were randomly divided into sham operation group (n=10), syngeneic transplantation group (n=21), and allogeneic transplantation group (n=65). Sham operation, syngeneic cervical heart transplantation, and allogeneic cervical heart transplantation were performed respectively. The survival of recipient mice and grafts, histopathological changes of graft tissues, subpopulations of splenic lymphocytes, and expression of inflammatory factors in serum and grafts were observed. Results The survival rate and graft survival rate of the sham operation group and syngeneic transplantation group were 100% at 7 days after surgery. In the allogeneic transplantation group, 5 cases failed and died on the first day after surgery. The survival rate at 7 days after surgery was 86%, and all surviving mice had grafts that stopped beating at 7 days after surgery. The allogeneic transplantation group showed significant rejection at 7 days after surgery, accompanied by tissue damage and CD8⁺ T cell infiltration. The proportion of CD8⁺ T cells in the spleen continued to rise post-operation, while the proportion of CD4⁺ T cells showed a downward trend. The expression of interferon-γ in serum and grafts peaked at 5 days after surgery, while the expression of tumor necrosis factor-α showed no statistical significance. Conclusions Acute rejection following heart transplantation in mice intensifies between 5 to 7 days after surgery, which may be a critical time window for immunological intervention.

As a typical "double heart" disease, the incidence rate of coronary heart disease with anxiety and depression is increasing year by year, which affects the long-term prognosis of the disease and the quality of life of patients. Based on the holistic concept of TCM, the theory of "heart-gallbladder connection" holds that there is a physiological and pathological relationship between the heart and gallbladder. At the same time, the theory of "heart-gallbladder connection" combined with modern medicine points out that disturbances in bile acid metabolism, gallbladder heart reflex, and brain gut bile acid axis are the three key nodes in the development of anxiety and depression in coronary heart disease. Starting from the theory of "heart-gallbladder connection", coronary heart disease combined with anxiety and depression is divided into three syndromes: heart deficiency and timidity, heart gallbladder stagnation, and heart gallbladder fire hyperactivity. Taking the principle of heart gallbladder harmony, the treatment of nourishing the heart and warming the gallbladder, regulating the heart and clearing the gallbladder, and clearing the heart and promoting bile flow is applied to provide a new clinical diagnosis and treatment approach for coronary heart disease combined with anxiety and depression.

Objective This study aims to construct and evaluate a clinical decision support system for individualized frequency repositioning in ICU patients using big data and modern information technology,with the goal of improving ICU nursing quality.Methods From February to August 2023,a dedicated research team was established to construct a data model based on real-world data from 3,988 ICU patients,assessing the impact of different position change frequencies on the incidence of pressure injuries.Based on this model,a decision support system was designed and developed,incorporating modules for personalized patient characteristics input,data analysis and result queries,decision recording,and patient file management.From September to November 2023,ICU nurses at a tertiary hospital in Qingdao city was selected to use the system.A usability survey was conducted using the System Usability Scale(SUS)to evaluate the system's usability.Results The constructed decision support system can display the outcomes for patients under 7 different position change frequencies based on the input of personalized patient characteristics and the calculation results from the data model,providing precise decision support for nurses.A total of 85 nurses participated in the system usability evaluation,with the SUS score of 64.22±13.9.Conclusion The constructed individualized frequency of repositioning decision support system for ICU patients demonstrates good scientific validity and usability,providing clinical nurses with a valuable reference for implementing personalized position change frequencies for patients.

A multi-layer feature attention enhanced network is proposed to further improve the diagnostic accuracy of the severity of diabetic retinopathy.To address the inconsistent expression of global and local features when processing diabetic retinopathy images,a dual-branch parallel model combining ResNet-50 and DeiT-S is employed as the backbone architecture,and a feature fusion module is designed at the end of the network.Concurrently,a multi-scale location awareness enhancement module is developed to extract multi-scale information through dilated convolution with positional attention mechanism for enhancing the feature representation of lesions in fundus images,and a local feature enhancement module is constructed to strengthen the model's capability in extracting local information,thus improving model's capability to identify small lesions and minor changes.The experimental results show that the proposed multi-layer feature attention enhanced network achieves an accuracy of 87.61%,exhibiting excellent classification performance.This advancement provides a strong support for further development of diabetic retinopathy detection technology.

Objective This study aims to construct and evaluate a clinical decision support system for individualized frequency repositioning in ICU patients using big data and modern information technology,with the goal of improving ICU nursing quality.Methods From February to August 2023,a dedicated research team was established to construct a data model based on real-world data from 3,988 ICU patients,assessing the impact of different position change frequencies on the incidence of pressure injuries.Based on this model,a decision support system was designed and developed,incorporating modules for personalized patient characteristics input,data analysis and result queries,decision recording,and patient file management.From September to November 2023,ICU nurses at a tertiary hospital in Qingdao city was selected to use the system.A usability survey was conducted using the System Usability Scale(SUS)to evaluate the system's usability.Results The constructed decision support system can display the outcomes for patients under 7 different position change frequencies based on the input of personalized patient characteristics and the calculation results from the data model,providing precise decision support for nurses.A total of 85 nurses participated in the system usability evaluation,with the SUS score of 64.22±13.9.Conclusion The constructed individualized frequency of repositioning decision support system for ICU patients demonstrates good scientific validity and usability,providing clinical nurses with a valuable reference for implementing personalized position change frequencies for patients.

A multi-layer feature attention enhanced network is proposed to further improve the diagnostic accuracy of the severity of diabetic retinopathy.To address the inconsistent expression of global and local features when processing diabetic retinopathy images,a dual-branch parallel model combining ResNet-50 and DeiT-S is employed as the backbone architecture,and a feature fusion module is designed at the end of the network.Concurrently,a multi-scale location awareness enhancement module is developed to extract multi-scale information through dilated convolution with positional attention mechanism for enhancing the feature representation of lesions in fundus images,and a local feature enhancement module is constructed to strengthen the model's capability in extracting local information,thus improving model's capability to identify small lesions and minor changes.The experimental results show that the proposed multi-layer feature attention enhanced network achieves an accuracy of 87.61%,exhibiting excellent classification performance.This advancement provides a strong support for further development of diabetic retinopathy detection technology.

To explore the impact of an airway stepwise management strategy in the treatment of hospital acquired pneumonia (HAP) in the ultra elderly critically ill patients.

Background::Hepatic ischemia-reperfusion injury (HIRI) remains a common complication during liver transplantation (LT) in patients. As a key downstream effector of the Hippo pathway, Yes-associated protein (YAP) has been reported to be involved in various physiological and pathological processes. However, it remains elusive whether and how YAP may control autophagy activation during ischemia-reperfusion.Methods::Human liver tissues from patients who had undergone LT were obtained to evaluate the correlation between YAP and autophagy activation. Both an in vitro hepatocyte cell line and in vivo liver-specific YAP knockdown mice were used to establish the hepatic ischemia-reperfusion models to determine the role of YAP in the activation of autophagy and the mechanism of regulation. Results::Autophagy was activated in the post-perfusion liver grafts during LT in patients, and the expression of YAP positively correlated with the autophagic level of hepatocytes. Liver-specific knockdown of YAP inhibited hepatocytes autophagy upon hypoxia-reoxygenation and HIRI ( P <0.05). YAP deficiency aggravated HIRI by promoting the apoptosis of hepatocytes both in the in vitro and in vivo models ( P <0.05). Attenuated HIRI by overexpression of YAP was diminished after the inhibition of autophagy with 3-methyladenine. In addition, inhibiting autophagy activation by YAP knockdown exacerbated mitochondrial damage through increasing reactive oxygen species ( P <0.05). Moreover, the regulation of autophagy by YAP during HIRI was mediated by AP1 (c-Jun) N-terminal kinase (JNK) signaling through binding to the transcriptional enhanced associate domain (TEAD). Conclusions::YAP protects against HIRI by inducing autophagy via JNK signaling that suppresses the apoptosis of hepatocytes. Targeting Hippo (YAP)-JNK-autophagy axis may provide a novel strategy for the prevention and treatment of HIRI.