Objective To explore the latent classes and influencing factors of blood glucose trajectories after transplantation in lung transplantation patients,and provide references for identifying high-risk population of post-transplant diabetes mellitus.Methods 122 lung transplantation patients who were hospitalized in a tertiary A general hospital in Hangzhou from January 2022 to March 2023 were selected conveniently as survey subjects.Socio-demographic and disease-related data were collected,and fasting plasma glucose at 1 week before surgery(T0),1 week after surgery(T1),1 month after surgery(T2),3 months after surgery(T3),6 months after surgery(T4),1 year after surgery(T5)were collected.Growth mixture model was used to identify categories of blood glucose trajectories after lung transplantation,and binary Logistic regression analysis was used to explore the influencing factors.Results A total of 109 lung transplantation patients were enrolled in the study,and 2 latent classes of blood glucose trajectories were identified:high risk(23.85％)and low risk(76.15％)of post-transplant diabetes mellitus.BMI,drinking history,afternoon blood glucose and tacrolimus trough concentration were the influencing factors of latent classes of blood glucose trajectories after lung transplantation(all P＜0.05).Conclusion There are 2 latent classes of blood glucose trajectories after lung transplantation,namely high risk and low risk of post-transplant diabetes mellitus.Medical staff should pay attention to diabetes screening and assessment of lung transplantation patients who are overweight or obese,have a drinking history before transplantation,have high afternoon blood glucose in early stage of transplantation and have high tacrolimus trough concentration in stable stage of transplantation,so as to formulate a comprehensive and individualized blood glucose management program.

Objective To explore the latent classes and influencing factors of blood glucose trajectories after transplantation in lung transplantation patients,and provide references for identifying high-risk population of post-transplant diabetes mellitus.Methods 122 lung transplantation patients who were hospitalized in a tertiary A general hospital in Hangzhou from January 2022 to March 2023 were selected conveniently as survey subjects.Socio-demographic and disease-related data were collected,and fasting plasma glucose at 1 week before surgery(T0),1 week after surgery(T1),1 month after surgery(T2),3 months after surgery(T3),6 months after surgery(T4),1 year after surgery(T5)were collected.Growth mixture model was used to identify categories of blood glucose trajectories after lung transplantation,and binary Logistic regression analysis was used to explore the influencing factors.Results A total of 109 lung transplantation patients were enrolled in the study,and 2 latent classes of blood glucose trajectories were identified:high risk(23.85％)and low risk(76.15％)of post-transplant diabetes mellitus.BMI,drinking history,afternoon blood glucose and tacrolimus trough concentration were the influencing factors of latent classes of blood glucose trajectories after lung transplantation(all P＜0.05).Conclusion There are 2 latent classes of blood glucose trajectories after lung transplantation,namely high risk and low risk of post-transplant diabetes mellitus.Medical staff should pay attention to diabetes screening and assessment of lung transplantation patients who are overweight or obese,have a drinking history before transplantation,have high afternoon blood glucose in early stage of transplantation and have high tacrolimus trough concentration in stable stage of transplantation,so as to formulate a comprehensive and individualized blood glucose management program.

This paper summarizes the nursing experience of a pregnant woman with congenital heart disease who developed pulmonary artery hypertension crisis after cesarean section.Nursing key points:monitoring and management of inhaled nitric oxide therapy to reduce pulmonary hypertension;providing sequential respiratory support care and dynamically adjusting oxygen therapy regimen;precise volume regulation and alertness to serious complications;optimizing puerperal supervision strategy to reduce the risk of infection;preventing and controlling stress bleeding and implementing a stepped dietary management strategy;implementing phased rehabilitation training to accelerate the recovery process;carrying out personalized psychological care and health education.With comprehensive nursing care,the patient recovered well and was discharged smoothly after an 18-day hospital stay.

This paper summarizes the nursing experience of a pregnant woman with congenital heart disease who developed pulmonary artery hypertension crisis after cesarean section.Nursing key points:monitoring and management of inhaled nitric oxide therapy to reduce pulmonary hypertension;providing sequential respiratory support care and dynamically adjusting oxygen therapy regimen;precise volume regulation and alertness to serious complications;optimizing puerperal supervision strategy to reduce the risk of infection;preventing and controlling stress bleeding and implementing a stepped dietary management strategy;implementing phased rehabilitation training to accelerate the recovery process;carrying out personalized psychological care and health education.With comprehensive nursing care,the patient recovered well and was discharged smoothly after an 18-day hospital stay.

Objective:To investigate the effect of astragaloside IV (AS-IV) regulating the signal axis of stromal cell-derived factor-1α (SDF-1α)/CXC chemokine receptor 4 (CXCR4) on the mobilization of bone marrow endothelial progenitor cells (EPCs) to peripheral blood in diabetes skin ulcer (DSU) rats.Methods:Twenty four SPF grade male Sprague Dawley (SD) rats were selected to make the model of type 2 diabetes rats by intraperitoneal injection of 30 mg/kg 1% (plastid ratio) streptozotocin, and then round full-thickness skin with a diameter of 2 cm was cut on both sides of the waist and back to make the skin ulcer model of diabetes rats. After that, they were randomly divided into AS-IV group (50 mg/kg AS-IV), blocker group (50 mg/kg AS-IV+ 5 mg/kg AMD3100) and model group. At the same time, a blank group ( n=8) was set up, The drug was administered via intraperitoneal injection, and the model group and blank group were treated with 0.9% NaCl of equal volume. On the 10th day, peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats were collected. The number of EPCs in peripheral blood of each group of rats was measured by flow cytometry, and the protein expression of SDF-1α and CXCR4 in peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats was detected by enzyme-linked immunosorbent assay (ELISA); At the same time, the wound healing rates of each group were tested. Results:On the 10th and 21st day after modeling, the wound healing rate of each group of rats was compared. The blank group healed the fastest, while the model group healed the slowest. The AS-IV group had better healing than the model group and the blocker group, and the difference was statistically significant (all P<0.05). On the 10th day after modeling, the positive rates of peripheral blood EPCs in the white group, AS-IV group, and blocker group were significantly higher than those in the model group (all P<0.05), while the positive rates of peripheral blood EPCs in the blocker group were significantly lower than those in the AS-IV group (all P<0.05). On the 10th day after modeling, the protein expression of SDF-1α and CXCR4 in the wound, serum, and bone marrow of the model group was the lowest, while the protein expression in the blank group was the highest (all P<0.05). The protein expression of SDF-1α and CXCR4 in the wound, serum, bone marrow of the AS-IV group was significantly higher than that of the blocker group and model group, and the difference was statistically significant (all P<0.05). Conclusions:Astragaloside IV can promote the mobilization and migration of endothelial progenitor cells from bone marrow to peripheral blood in diabetes ulcer rats by regulating SDF-1α/CXCR4 signal axis, and can participate in angiogenesis of diabetes ulcer wounds as seed cells to promote the healing of diabetes skin ulcers.

Objective To retrieve,evaluate and summarize the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation,and to provide a reference for clinical practice.Methods UpToDate,BMJ Best Practice,Registered Nurses'Association of Ontario,National Guideline Clearinghouse,National Institute for Health and Care Excellence,Yimaitong,Joanna Briggs Institute Library,Cochrane Library,CINAHL,PubMed,SinoMed,CNKI,Wanfang Database,Vip Database and Extracorporeal Life Support Organization Website were researched to collect the literature,including clinical guidelines,expert consensuses,evidence summaries,systematic reviews,and well-designed original studies.The time limit for retrieval was until June 2023.The quality of literature and the level of evidence were evaluated by the evaluation criteria and evidence grading system of J BI Evidence-Based Health Care Center.Results 14 pieces of the literature were included,including 2 clinical guidelines,4 expert consensuses,5 systematic reviews,2 cohort studies and 1 case series.Totally 33 pieces of evidence were summarized,covering 7 aspects:adaptation conditions for the implementation of awake ECMO,team composition,comprehensive assessment,pre-mobilization preparation,mobilization content,prevention and control of adverse events,and effect evaluation.Conclusion The study summarizes the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation.It is suggested that medical institutions establish a professional team for the early mobilization of awake ECMO patients,apply the best evidence to standardize the early mobilization process,and formulate an individualized mobilization program.

Objective To identify the factors associated with frailty in lung transplant patients by a meta-analysis.Methods Computerized search was performed for studies on the influencing factors of frailty in lung transplant patients in the CNKI,WanFangData,VIP,CBM,PubMed,Web of Science,Embase,Elsevier ScienceDirect and CINAHL databases.The search was conducted from the time of database construction to November 2023.Literature screening,quality assessment,and data extraction were performed independently by 2 investigators,and Meta-analysis was performed using Stata 17.0 software.Results 10 cohort studies,including 1 999 patients,were finally included,and 13 influencing factors were extracted,including advanced age(OR=1.05),female(OR=2.50),BMI(OR=0.38),diagnosis of primary pulmonary disease(OR=2.90),6MWD(OR=0.34),and lung allocation score(OR=0.69),FVC(OR=0.60),pre-transplant frailty(OR=0.81),hypoproteinemia(OR=4.12),hemoglobin(OR=0.50),anemia(OR=4.37),length of ICU stay(OR=1.24),and total length of stay(OR=1.05).Short Physical Performance Battery is an assessment tool for frailty in lung transplant patients,with an incidence of frailty in 24％before transplantation and 50％in post-transplantation.Fried Frailty Phenotype is an assessment tool for frailty in lung transplant patients,with a pre-transplant frailty incidence of 30％.Conclusion There are many factors involved in the incidence of frailty in lung transplant patients,and nursing staff should dynamically evaluate the frailty of lung transplant patients,and give individualized and precise interventions in combination with a multidisciplinary model to improve or delay the progression of frailty.

Objective To evaluate the effect of remote interventions with digital health technologies in lung transplant patients.Methods Databases,including CKNI,Wangfang,VIP,CMB,Cochrane Library,PubMed,Embase,Web of Science,Scopus and BMJ Best Practice were searched from their inception to July 2023.There were 2 researchers who independently screened and extracted the literature,and then evaluated quality of the included studies.Meta-analysis was performed using RevMan 5.2.Results 10 studies with 1 262 patients were included.The results of meta-analysis showed that compared with conventional intervention,remote intervention based on digital health technology could improve self-monitoring compliance of lung transplant patients[0R=0.64,95％CI(0.46,0.88),P=0.006],improve quality of life including mental health status[OR=3.08,95％CI(0.41,5.74),P=0.020]and physical health status[OR=3.81,95％CI(1.19,6.43),P=0.004].In terms of the intervention forms,the application-based remote intervention had better self-monitoring compliance,and the difference was statistically significant(P=0.007).However,in terms of the comparison of readmission rate[OR=1.73,95％CI(0.98,3.04),P=0.060],anxiety[OR=-0.12,95％CI(-1.36,1.11),P=0.850],and depression[OR=0.62,95％CI(-0.80,2.03),P=0.390],the effect of intervention was unclear.Conclusion Remote intervention based on digital health technology can improve self-monitoring compliance and quality of life in lung transplant patients;applications are the optimal form of intervention.Limited by the quality and quantity of included studies and the heterogeneity of study results,more high-quality studies are needed to further verify the effects of digital health technology on readmission rates,anxiety and depression of lung transplant patients.

Objective To investigate the incidence and risk factors of post-transplant diabetes mellitus(PTDM)in adult lung transplant recipients.Methods Conducting a convenience sampling method,we retrospectively analyzed the clinical data of lung transplant recipients from January 2020 to December 2022 at a tertiary A hospital in Hangzhou,Zhejiang Province.According to the PTDM diagnostic criteria,lung transplant recipients are divided into a PTDM group and a non-PTDM group.The incidence rate of PTDM is calculated,and the influencing factors for PTDM occurrence are analyzed using both univariate and multivariate logistic regression methods.Results A total of 140 patients were included in this study,and 54 lung transplant recipients developed PTDM within 6 months,with an incidence of 38.57％.Univariate analysis showed that there were significant differences in age,gender,BMI,smoking history,pre-operative glycated albumin,pre-operative fasting blood glucose,early post-operative blood glucose and pre-operative creatinine between the 2 groups(P＜0.05).Multivariate Logistic analysis showed that gender(OR=5.283),BMI(OR=6.122),pre-operative glycated albumin(OR=1.330),and early post-operative blood glucose(0R=1.444)were the influencing factors.Conclusion Lung transplant recipients who were male,BMI ≥24.0,with high levels of glycated albumin before surgery,and high blood sugar early after surgery had a higher risk of developing PTDM.Clinical nurses can formulate relevant nursing measures according to the influencing factors to prevent the occurrence of PTDM.

Objective To analyze the influencing factors of postoperative subsyndromal delirium in elderly patients undergoing abdominal surgery,and to develop a nomogram risk prediction model.Methods A convenience sampling method was used to select 497 elderly patients who underwent abdominal surgery in a tertiary hospital in Sichuan Province from February to October 2022.The risk prediction model and nomograms model were constructed using Logistic regression analysis and R software.The area under the subject's working characteristic curve(AUC)and Hosmer-Lemshow test were used to evaluate the discrimination and calibration of the model.Results The results of Logistic regression showed that age(OR=1.066),functional activities(OR=1.143),patient controlled intravenous analgesia(OR=5.811),transanal drainage tube(OR=2.276)and postoperative blood transfusion(OR=4.322)were independent influences on the occurrence of postoperative subsyndromal delirium.The p-values of the prediction model in both the training and validation sets were greater than 0.05;the area under the ROC curves were 0.734 and 0.691;the model was presented in the form of nomogram.Conclusion The prediction model developed in this study has good discrimination and accuracy.It can be used to assist clinical staff in identifying patients at high risk of developing postoperative subsyndromal delirium and provide the reference for developing preventive and intervention measures.