Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Objective To understand the awareness of the emergency physicians for thrombolytic thera-py recommended by ST-segment elevation myocardial infarction(STEMI)guidelines and implementation sit-uation,and to analyze the related influencing factors.Methods Relying on Chengdu Emergency Quality Con-trol Center,the questionnaires were distributed to the hospitals of expert group members and the hospitals of the medical union from April to July 2023 to investigate the awareness,implementation status and training status of the emergency doctors in Chengdu area on the STEMI thrombolytic therapy.The causes affecting thrombolysis decision-making were analyzed.Results A total of 137 hospitals participated in the survey.Whether the treatment system and type of chest pain,chest pain center,percutaneous coronary intervention(PCI)qualified hospitals or departments carrying out the training and hospital grade were correlated to whether STEMI patients were thrombolyzed within 12 h before transport(P＜0.05).Whether the PCI quali-fied hospital,chest pain center,chest pain treatment system and type,carrying training,hospital grade,geo-graphical location,transport duration,and thrombolytic indication understanding situation were not related to whether thrombolytic therapy was recommended for the duration from the first medical contact(FMC)to PCI(FMC-PCI)≥120 min(P＞0.05).The multivariate logistic regression analysis showed that whether the de-partment carrying out the training was an influential factor for whether thrombolytic therapy was carried out within 12 h before transport in STEMI onset(P＜0.05).The hospital grade was a influencing factor for whether thrombolysis in non-chest pain treatment system was carried before transport within 12 h of the onset of STEMI.The main reason for STEMI patients being directly transfered treatment without thrombolysis within 12 h of onset was because they knew that thrombolysis was needed but did not know how to do it(50.00％).The awareness rate of thrombolytic indication in non-main urban area was higher than that in main urban area(P＜0.05).The carrying out department training rate of PCI qualified hospitals was higher than that of non-PCI qualified hospitals(P＜0.05).The receiving superior hospital training rate also had difference among different hospital grades and geographical locations.Conclusion Conducting the thrombolysis training and enhancing the learning of treatment processes directly affect the emergency physicians'choice of reperfu-sion strategies for the patients with STEMI.Continuous promotion of the construction of chest pain center or chest pain treatment unit could further increase the early reperfusion rate of STEMI.

Objective:To explore the feasibility and safety of remote programming technology based on 5G cloud technology support platform in postoperative follow-up of cardiovascular implantable electronic devices(CIED).Methods:This study was a multicenter cross-sectional study. CIED patients from 12 hospitals lacking full-time follow-up specialists in Sichuan Province were enrolled from June 2021 to October 2021. All patients′ devices received remote inspecting and programming by the follow-up specialist of the remote follow-up center of the Third People′s Hospital of Chengdu through 5G cloud technology support platform. The baseline data, device alarm events, device reprogramming events, adverse reactions and satisfaction questionnaire survey results were collected.Results:A total of 195 CIED implantation patients were included, with an age of (72.5±11.3) years, including 103 males (52.6%). All patients completed remote inspecting and programming successfully, with a duration of (5.8±4.0) min. Ninety-one patients′ CIED were reprogrammed, with a total of 104 parameter adjustments. No abnormal communication or adverse events occurred. The satisfaction questionnaire showed that 97.9%(191/195) of the patients trusted or relatively trusted remote follow-up and 86.7%(169/195) of the patients were willing to choose remote follow-up mode for device management.Conclusion:The remote programming based on 5G cloud technology support platform may be feasible and safe for postoperative follow-up of CIED patients.

Mammals exhibit limited heart regeneration ability, which can lead to heart failure after myocardial infarction. In contrast, zebrafish exhibit remarkable cardiac regeneration capacity. Several cell types and signaling pathways have been reported to participate in this process. However, a comprehensive analysis of how different cells and signals interact and coordinate to regulate cardiac regeneration is unavailable. We collected major cardiac cell types from zebrafish and performed high-precision single-cell transcriptome analyses during both development and post-injury regeneration. We revealed the cellular heterogeneity as well as the molecular progress of cardiomyocytes during these processes, and identified a subtype of atrial cardiomyocyte exhibiting a stem-like state which may transdifferentiate into ventricular cardiomyocytes during regeneration. Furthermore, we identified a regeneration-induced cell (RIC) population in the epicardium-derived cells (EPDC), and demonstrated Angiopoietin 4 (Angpt4) as a specific regulator of heart regeneration. angpt4 expression is specifically and transiently activated in RIC, which initiates a signaling cascade from EPDC to endocardium through the Tie2-MAPK pathway, and further induces activation of cathepsin K in cardiomyocytes through RA signaling. Loss of angpt4 leads to defects in scar tissue resolution and cardiomyocyte proliferation, while overexpression of angpt4 accelerates regeneration. Furthermore, we found that ANGPT4 could enhance proliferation of neonatal rat cardiomyocytes, and promote cardiac repair in mice after myocardial infarction, indicating that the function of Angpt4 is conserved in mammals. Our study provides a mechanistic understanding of heart regeneration at single-cell precision, identifies Angpt4 as a key regulator of cardiomyocyte proliferation and regeneration, and offers a novel therapeutic target for improved recovery after human heart injuries.
Humans ; Mice ; Rats ; Cell Proliferation ; Heart/physiology* ; Mammals ; Myocardial Infarction/metabolism* ; Myocytes, Cardiac/metabolism* ; Pericardium/metabolism* ; Single-Cell Analysis ; Zebrafish/metabolism*

Objective:To explore if there is premature senescence of chondrocytes in patients with Kashin-Beck disease (KBD) and osteoarthritis.Methods:Five knee cartilage samples of KBD, osteoarthritis and control groups were collected, respectively, from the Second Affiliated Hospital of Xi'an Jiaotong University. DNA was then extracted from cartilage samples and DNA methylation was analyzed by Illumina Infinium HumanMethylation450 BeadChip. At the same time, based on genome-wide methylation data, the online DNA methylation aging clock calculator (https://dnamage.genetics.ucla.edu/home) was used to calculate the DNA methylation age (DNAm age) of samples, and the results were compared with their actual ages.Results:In the comparison between KBD group and control group, 1 212 differentially methylated CpG sites were found, including 497 hypermethylated CpG sites and 715 hypomethylated CpG sites, corresponding to 264 hypermethylated genes and 368 hypomethylated genes, respectively. In the comparison between osteoarthritis group and control group, 656 differentially methylated CpG sites were found, including 343 hypermethylated CpG sites and 313 hypomethylated CpG sites, corresponding to 177 hypermethylated genes and 174 hypomethylated genes, respectively. In the above comparison, 367 overlapped CpG sites (corresponding to 182 genes) were found, which were differentially methylated in both KBD and control groups and osteoarthritis and control groups. The results of DNA methylation aging clock showed that the average age acceleration differences between DNAm age and actual age of KBD, osteoarthritis and control groups were 2.549, 0.017, and - 5.364 years, respectively, the DNAm ages of KBD and osteoarthritis groups were greater than the actual ages.Conclusion:The chondrocytes show premature senescence in both KBD and osteoarthritis.

Objective:To compare the clinical efficacy between femoral neck system (FNS) and inverted cannulated compression screws (ICCS) in the fixation of adult femoral neck fracture.Methods:The clinical data were retrospectively analyzed of the 119 patients with femoral neck fracture who had received FNS or ICCS internal fixation at Department of Traumatic Orthopedics, West China Hospital from September 2019 to June 2020. They were divided into 2 groups according to their internal fixation methods. In the FNS group of 62 patients, there were 38 males and 24 females, with an age of (54.0±13.0) years, and 13 cases of type Ⅱ, 34 cases of type Ⅲ and 15 cases of type Ⅳ according to the Garden classification; in the ICCS group of 57 patients, there were 42 males and 15 females, with an age of (53.2±11.3) years, and 9 cases of type Ⅱ, 33 cases of type Ⅲ and 15 cases of type Ⅳ according to the Garden classification. The operation time, intraoperative blood loss, fluoroscopy frequency, hospitalization time, fracture healing time, Harris hip score and incidence of complications were compared between the 2 groups.Results:The 2 groups were comparable due to insignificant differences in their preoperative general data or follow-up duration ( P>0.05). There were significant differences between the FNS and ICCS groups in fluoroscopy frequency [(8.8±2.9) times versus (15.6±3.4) times], operation time [(45.2±10.1) min versus (51.8±11.7) min], fracture healing time [(3.2±0.4) months versus (4.0±0.6) months], Harris hip score at the last follow-up [(91.8±4.4) points versus (84.6±3.3) points], and femoral neck shortening at the last follow-up, favoring the FNS group (all P<0.05). There were no significant differences in follow-up time, hospitalization time, intraoperative blood loss or incidence of complications between the 2 groups ( P>0.05). Conclusions:In the fixation of adult femoral neck fractures, compared with ICCS, FNS can significantly reduce fluoroscopy frequency, shorten fracture healing and operation time, reduce risk of femoral neck shortening and hospitalization time, and promote functional recovery of the hip.

Objective To investigate CT in combination with MRI in diagnosing and differential diagnosing chondrosarcoma.Methods CT and MRI findings pathologically in 19 cases of chondrosarcoma proved were analyzed retrospectively.Results On CT,the tumors appeared as bony destruction in 15 cases,soft tissue masses in 14 cases,and with multiple calcifications in different shape.Postcontrast CT scan demonstrated peripheral and septal enhancement in 2 cases,and inhomogeneous enhancement in 3 cases.On MRI,the chondrosarcomas were hypointense or isointense on T1WI,heterogeneous hyperintense on T2WI.Postcontrast MRI demonstrated peripheral and septal enhancement with wreath-or honeycomb-like appearance in 9 cases,heterogeneous enhancement in 2 cases,obvious enhancement in 2 cases.On fat-suppression T2WI,the boundary and size of lesions were demonstrated clearly.The phylloid and cauliflower-like shape of tumors were displayed better on sagital and coronal position.Conclusion CT and MRI are both important in diagnosis and differetial diagnosis of chondrosarcoma,the combination of the two methods may improve the diagnosing accuracy of this tumor and minimize misdiagnosis.

Objective To investigate the diagnostic Value of multi-slice spiral CT 3-Dimensional reconstruction in intestinal obstruction.Methods 28 Patients with malignant lesions of colon underwent volume scanning using multislice helical CT.Four types of reconstruction included multiple planner reconstruction(MPR),CT virtual colonoscopy(CTVC),shaded surface display(SSD)and raysum.The results were compared with those of colonoscopy and patholog.Results CT diagnostic accurate rate was 100%,and the accurate rate of the cause was 96% in intestinal obstruction,including primary or secondary neoplasms(18/28),abhesions(2/28),bowel torsion(2/28)and external or internal hernias(3/28) and gallstone ileus(3/28).Conclusion There were advantages and disadvantages in diagnosis of mechanical intestinal obstruction with MPR,CTVC,SSD and Raysum respectively.The combined use of the four post-processing technigues can be more helpful to precise localizing and qualitative diagnosis of lesions.MPR should be the optimal post-processing technigues for the diagnosis of intestinal obstruction