In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

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.

Mesenchymal stem cells (MSCs) have been widely used in the treatment of various autoimmune and inflammation-related diseases due to their potent immunomodulatory properties. Several studies have demonstrated that MSC-mediated immunomodulation is complex and bidirectional, with the in vivo microenvironment influencing the direction of this modulation. Indoleamine-2,3-dioxygenase (IDO), an immunosuppressive factor, has been identified as a key "switch" in the immunomodulatory role of MSCs. In this review, we explore how IDO functions as a critical regulator of MSC immunoregulatory plasticity. We delve into the mechanisms by which changes in IDO expression affect the function of various immune cells, summarize relevant research and clinical advances regarding the role of IDO expression in MSC-based therapies for various diseases, and discuss potential therapeutic strategies that target IDO to enhance the stability of MSC therapeutic effects. This provides a theoretical foundation for optimizing MSCs as safer and more effective clinical therapeutic agents.

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 investigate the influencing factors of hospitals to carry out hospital-enterprise collabora-tive innovation and improve the level of hospital-enterprise collaborative innovation.Methods Based on the method of rooted theory,open coding,main axis coding and selective coding were carried out on the contents of 30 in-depth interviews with experts,and pass the theoretical saturation test.Results The influencing factor model of hospitals participating in hospital-enterprise collaborative innovation was summarized.It includes 6 main categories,including cooperative income guarantee,market two-wheel drive,organization and management level,cooperative object and mode,main body innovation ability and enterprise technical support,which are divided into 3 dimen-sions:incentive factors,process factors and demand factors.Conclusion The enthusiasm of hospitals to carry out hospital-enterprise collaborative innovation needs to be improved,and the development of hospital-enterprise col-laborative innovation can be promoted from three aspects:focusing on the incentive effect of reasonable returns,encouraging high clinical value innovation activities,and improving the management level of collaborative innovation.

Objective To investigate the influencing factors of hospitals to carry out hospital-enterprise collabora-tive innovation and improve the level of hospital-enterprise collaborative innovation.Methods Based on the method of rooted theory,open coding,main axis coding and selective coding were carried out on the contents of 30 in-depth interviews with experts,and pass the theoretical saturation test.Results The influencing factor model of hospitals participating in hospital-enterprise collaborative innovation was summarized.It includes 6 main categories,including cooperative income guarantee,market two-wheel drive,organization and management level,cooperative object and mode,main body innovation ability and enterprise technical support,which are divided into 3 dimen-sions:incentive factors,process factors and demand factors.Conclusion The enthusiasm of hospitals to carry out hospital-enterprise collaborative innovation needs to be improved,and the development of hospital-enterprise col-laborative innovation can be promoted from three aspects:focusing on the incentive effect of reasonable returns,encouraging high clinical value innovation activities,and improving the management level of collaborative innovation.

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 investigate the efficacy of acupuncture and rehabilitation therapy on lower limb motor function, and to explore a cortical mechanism using functional near infrared spectroscopy (fNIRS). Methods From December, 2020 to July, 2021, 24 stroke patients with lower limb motor dysfunction in our hospital were randomly divided into rehabilitation group (n = 12) and acupuncture-rehabilitation group (n = 12), and received routine rehabilitation training and acupuncture-rehabilitation intervention for four weeks, respectively. The control group included ten healthy subjects matched the patients. Before and after intervention, the lower limb motor function of the patients was assessed with Fugl-Meyer Assessment-Lower Extremities (FMA-LE), and all the subjects accepted fNIRS examination. The functional intensity and lateralization index (LI) of supplementary motor area (SMA), premotor cortex (PMC) and sensory motor cortex (SMC) were calculated based on oxygenated hemoglobin (HbO2). Results There was no significant difference in FMA-LE score between the rehabilitation group and the acupuncture-rehabilitation group before the intervention (P > 0.05). After four weeks of intervention, FMA-LE scores improved in both groups (t > 3.770, P < 0.001), and improved more in the acupuncture-rehabilitation group than in the rehabilitation group (t = 2.252, P < 0.05). Before intervention, the average functional connection was more intensitive in the control group than in the two patients groups (P < 0.05), and there was no significant difference between the later two groups (t = 0.458, P > 0.05). After intervention, the average functional connection increased in both groups (t > 2.178, P < 0.05), and the functional connection of the affected PMC of acupuncture-rehabilitation group increased (P < 0.05). The LI in SMC increased in the acupuncture-rehabilitation group (P < 0.05). There was a significant positive correlation between the change of functional connection of the affected PMC and the change of FMA-LE scores in the acupuncture-rehabilitation group (r = 0.579, P < 0.05). Conclusion Acupuncture with rehabilitation therapy can significantly improve the lower limb motor function and asymmetrical activation of SMC in stroke patients. The recovery of lower limb motor function may be related to the enhanced activation of affected PMC.

Objective:To build a performance appraisal index system for medical specialty alliances, as a reference for promoting the development of the alliances in a connotation-based, high quality and sustainable manner.Methods:An index system was initialized by means of policy literature review and brainstorming, which was followed by two rounds of expert consultations to finalize the index system. Each index in the system was weighted through the analytic hierarchy process.Results:A performance appraisal index system of specialist alliances so developed comprised the six level-1 indexes of organization and implementation, hierarchical healthcare, influence capacity, talent cultivation, clinical research and academic research, as well as 31 level-2 indexes. The average scoring of importance and operability of all the indexes was>3.50, while the weights of organization and implementation(0.205 3), talent cultivation(0.178 8)and clinical research indexes(0.165 1)were higher than the rest.Conclusions:The performance appraisal index system of specialty alliances proves highly reliable and scientific, serving a desirable vehicle for the leaders of the alliance to develop cross-regional development of medical specialties.

Objective:To study on the association between vasoactive-inotropic score(VIS) and mortality of total arch replacement in Stanford type A aortic dissection(TAAD) patients.Methods:Data of TAAD patients admitted from January 2018 to November 2018 were analyzed retrospectively. According to the inclusion and exclusion criteria, 187 patients were finally included in the analysis. 30-day mortality was calculated and the patients were divided into death group(18 cases) and non-death group(169 cases). The VIS at each time point and perioperative indexes of the two groups were compared. The value of VIS in predicting mortality was analyzed.Results:The 30-day mortality was 9.63%(18/187). The operation time, cardiopulmonary bypass time, ventilator assistance time, the incidence of tracheotomy and major postoperative complications in the death group were significantly higher than those in the non-death group( P<0.05). VIS of death group was significantly higher than that of non-death group( P<0.05). At each time point, the area under ROC curve(AUC) of VIS was greater than 0.500( P<0.05), among which AUC of ICU 48 h VIS was the largest(0.817), and the best cut-off point of ICU 48 h VIS was determined to be 9, sensitivity 61.1%, specificity 92.3%. Logistic regression analysis showed that ICU 48 h VIS was an independent risk factor for predicting the death of total arch replacement in TAAD patients( OR=1.465, 95% CI: 1.194-1.796, P<0.001). Conclusion:When ICU 48 h VIS≥9, the risk of death was increased in patients with total arch replacement of TAAD. VIS may be a useful reference index for predicting the mortality of total arch replacement in TAAD patients in the early postoperative period.