Objective To analyze the risk factors of tracheal reintubation after total aortic arch replace-ment and to provide evidence for the prevention of tracheal reintubation after total aortic arch replacement.Methods From January 1,2019 to June 31,2020,162 patients who underwent total aortic arch replacement in the Department of Cardiac Surgery of a tertiary grade-A hospital in Guangdong Province were randomly selected and divided into reintubation group(n=27)and control group(n=135)based on the occurrence of tracheal reintubation.The risk factors were analyzed by univariate and multivariate logistic regression.Results Among the 162 patients,27 cases(16.7%)had tracheal reintubation.Compared with those in the control group,the length of ICU stay and hospitalization cost in the reintubation group were significantly increased(P<0.001).Univariate analysis indicated that there were significant differences in terms of age,glomerular filtration rate,diabetes mellitus,venti-lator time,pulmonary infection,liver insufficiency,hypoxemia,delirium and cerebrovascular accident(P<0.05).Multivariate analysis showed age(OR=1.069,P=0.038),pulmonary infection(OR=5.227,P=0.047),delirium(OR=7.079,P=0.011),and ventilator use time(OR=1.006,P=0.001)were independent risk factors for tracheal reintubation after total arch replacement.A regression equation was established as follows:[Logit(P)=-8.885+0.066×age+1.654×pulmonary infection+1.957×delirium+0.006×time]of first ventilator use.The area under the ROC curve of the subjects in this model was 0.931(95%CI:0.884～0.979),P<0.001;The results of Hosmer-Lemeshow test(χ2=4.76 and P=0.782)indicated that the model had high accuracy.Conclusion Age,pulmonary infection,delirium and ventilator use time are independent risk factors for tracheal reintubation after total aortic arch replacement.

Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894～0.951)in the modeling group,0.886(95%CI:0.838～0.915)in the internal validation group,and 0.862(95%CI:0.784～0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.

Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894～0.951)in the modeling group,0.886(95%CI:0.838～0.915)in the internal validation group,and 0.862(95%CI:0.784～0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.

Objective To analyze the risk factors of tracheal reintubation after total aortic arch replace-ment and to provide evidence for the prevention of tracheal reintubation after total aortic arch replacement.Methods From January 1,2019 to June 31,2020,162 patients who underwent total aortic arch replacement in the Department of Cardiac Surgery of a tertiary grade-A hospital in Guangdong Province were randomly selected and divided into reintubation group(n=27)and control group(n=135)based on the occurrence of tracheal reintubation.The risk factors were analyzed by univariate and multivariate logistic regression.Results Among the 162 patients,27 cases(16.7%)had tracheal reintubation.Compared with those in the control group,the length of ICU stay and hospitalization cost in the reintubation group were significantly increased(P<0.001).Univariate analysis indicated that there were significant differences in terms of age,glomerular filtration rate,diabetes mellitus,venti-lator time,pulmonary infection,liver insufficiency,hypoxemia,delirium and cerebrovascular accident(P<0.05).Multivariate analysis showed age(OR=1.069,P=0.038),pulmonary infection(OR=5.227,P=0.047),delirium(OR=7.079,P=0.011),and ventilator use time(OR=1.006,P=0.001)were independent risk factors for tracheal reintubation after total arch replacement.A regression equation was established as follows:[Logit(P)=-8.885+0.066×age+1.654×pulmonary infection+1.957×delirium+0.006×time]of first ventilator use.The area under the ROC curve of the subjects in this model was 0.931(95%CI:0.884～0.979),P<0.001;The results of Hosmer-Lemeshow test(χ2=4.76 and P=0.782)indicated that the model had high accuracy.Conclusion Age,pulmonary infection,delirium and ventilator use time are independent risk factors for tracheal reintubation after total aortic arch replacement.

Objective: To explore the effect of caveolin-1 ( Cav-1 ) on lipopolysaccharide ( LPS )-induced airway mucous hypersecretion.Methods:16HBE human airway epithelial cells with Toll-like receptor 4(TLR4) inhibitor,nuclear factor-kappa B(NF-κB) inhibitor,Cav-1 siRNA or plasmid pr-treated,further stimulated with LPS.The cells were divided into 8 groups:the control group, the LPS group,the LPS+Cav-1 expression group,the LPS+Cav-1 siRNA group,the LPS +negative siRNA group,the LPS +empty vector group,the LPS +E5564 group, the LPS +PDTC group.Cell survival rate was detected by MTT assay.Transcription level of mucin(MUC)5AC was evaluated with RT-PCR.The level of MUC5AC protein was measured by ELISA.The expression of TLR4,Cav-1 and phosphorylated IκBα( p-IκBα) were measured by Western blot.MUC5AC protein changes were observed by immunofluorescence and confocal laser technology.Results:LPS remarkably increased MUC5AC,as well as TLR4,p-IκBα(P<0.05).These effects were prevented by E5564 and PDTC.We found that the overexpression of Cav-1 further enhanced the expression of TLR4, p-IκBαand MUC5AC.However,downregulation of Cav-1 inhibited the expression of TLR4,p-IκBα,MUC5AC.Conclusion: Cav-1 enhances LPS-induced MUC5AC hypersecretion through TLR4/NF-κB signaling pathway.