Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

Objective To investigate the changes and significance of serum C reactive protein (CRP) and calcitonin (PCT) levels in the elderly patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods One hundred and twenty elderly patients with AECOPD in the respiration deplartment of our hospital from January 2013 to study One hundred and twenty elderly patients with AECOPD in our hospital from January 2013 to June 2015 were selected to conduct the study and performed the subgroup analysis according to the BODE index (body weight,dyspnea,airflow,motor function index),times of acute exacerbation within 1 year after treatment and recurrence time,and other 40 healthy subjects in the outpatient department were selected as the control group.The serum PCT and CRP levels were compared among various groups.Results Serum CRP and PCT levels in AECOPD patients with grade 1-4 of BODE index were significantly higher than those in the control group (P＜0.05),moreover in the intra-group comparison of serum CRP and PCT,the grade l＜grade 2＜grade 3＜grade 4,the differences were statistically significant (P＜0.05).Serum CRP and PCT had the significantly positive correlation with the grades of BODE index in AECOPD patients (r=0.482,0.317,P＜0.05).After treatment,serum CRP and PCT levels in AECOPD patients with recurrence occurred more than 3 months were significantly lower than those in the patients with recurrence occurred within 3 months,the difference was statistically significant (P＜0.05);serum CRP and PCT levels in the patients with more than once recurrence at 1 year after discharge from hospital were significantly higher than those in the patients with recurrence ≤once,the difference were statistically significant (P＜0.05).Conclusion The serum levels of CRP and PCT in the patients with AECOPD can reflect dyspnea,airflow limitation and motor function ability,and conducts the preliminary assessment on the patient's prognosis.

OBJECTIVE:To prepare folic acid(FA)-loaded vincristine(VCR)nano liposome(VCR-nLip-FA)and to study its effects on human liver and lung cancer cells. METHODS:VCR-nLip-FA was prepared by ammonium sulfate gradient method,and particle size,Zeta-potential,encapsulation rate and release rate were investigated. Taking human liver cancer HepG2 cells and lung cancer A549 cells as example,uptake rate and inhibitory effect in vitro (5-80 μg/ml) were compared between VCR-nLip-FA and VCR-nLip. RESULTS:The particle size distribution,average particle size,average Zeta-potential,average encapsulation rate and 24 h accumulative release rate of VCR-nLip-FA were 98.1-159.0 nm,132.2 nm,-40.1 mV,(86.6±3.5)%(n=4)and(42.2± 2.6)%. Compared with VCR-nLip,there was no statistical significance in uptake rate of A549 cells to VCR-nLip-FA and inhibitory effect of VCR-nLip-FA on A549 cell viability (P>0.05);uptake rate of HepG2 cells to VCR-nLip-FA and inhibitory effect of VCR-nLip-FA on HepG2 cell viability increased significantly (P<0.01),in dose-dependent manner. CONCLUSIONS:Prepared VCR-nLip-FA can target anti-tumor drug to HepG2 cells efficiently,and highly inhibit the growth of HepG2 cells. But it has no higher effects on A549 cells.