Objective:To explore the changes of serum histone deacetylase 2 (HDAC2), lonely G protein-coupled receptor ligand (Apelin) and B-type brain natriuretic peptide (BNP) in patients with chronic obstructive pulmonary disease (COPD) and the predictive value for prognosis.Methods:A retrospective selection was made of 100 COPD patients (COPD group) admitted to the Fourth People's Hospital of Langfang from May 2022 to May 2023 and 50 healthy individuals who underwent physical examinations during the same period (healthy control group) as the research subjects. The levels of serum HDAC2, Apelin and BNP in the two groups were compared. The levels of HDAC2, Apelin and BNP in COPD patients with different clinical characteristics were compared. The correlation among serum HDAC2, Apelin and BNP in COPD patients were analyzed by Spearman test. The predictive value of serum HDAC2, Apelin and BNP for the prognosis of patients with COPD was analyzed by the receiver operating characteristic (ROC) curve.Results:The level of HDAC2 in the COPD group was lower than that in the healthy control group, the levels of Apelin and BNP were higher than those in the healthy control group: (2.38 ± 0.56) U/L vs. (7.51 ± 1.33) U/L, (491.62 ± 53.82) ng/L vs. (337.19 ± 46.52) ng/L, (211.05 ± 23.46) ng/L vs. (37.52 ± 4.32) ng/L, there were statistical differences ( P<0.05). COPD patients with different clinical characteristics, including those in acute exacerbation and stable stages, mild, moderate and severe cases, COPD patients with pulmonary function grades Ⅱ, Ⅲ and Ⅳ, COPD patients with and without pulmonary hypertension, and patients with poor prognosis and good prognosis, there were statistically significant differences in the levels of HDAC2, Apelin and BNP ( P<0.05). The Spearman test results indicated that in COPD patients, serum HDAC2 was negatively correlated with Apelin ( r = - 0.469, P = 0.001), HDAC2 was negatively correlated with BNP ( r = - 0.435, P = 0.001), and Apelin was positively correlated with BNP ( r = 0.418, P = 0.001). The results of ROC curve analysis indicated that the combined detection of HDAC2, Apelin and BNP had the highest area under the curve for predicting the prognosis of COPD patients (0.954), with a sensitivity of 81.66%. Conclusions:COPD patients have lower HDAC2 and higher Apelin and BNP levels. The three indicators are correlated to a certain extent, and their levels are closely related to the clinical characteristics of patients. The combined detection of the three indicators can be used as important predictive indicators for the prognosis of COPD patients.

Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country，covering basic institutional information，training capacity and training faculty，training program funding，as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center，an online questionnaire was distributed，and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey，including 19 children's hospitals，14 general hospitals，6 maternal and child health hospitals，2 women and children’s hospitals，and 1 training institution.The distribution of training centers showed a concentration in coastal areas，with the top three provinces/municipalities being Guangdong（7/42，16.7%），Zhejiang（6/42，14.3%），and Shanghai（4/42，9.5%）.As of December 31 2023，the 42 institutions had an annual basic life support（BLS）training volume of 8 587 individuals，the median was 120 (100,200)，and an annual pediatric advanced life support（PALS）training volume of 2 448 individuals，the median was 30 (20,50).Among the 42 institutions，there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions，24（24/42，57.1%）reported BLS instructor teams comprising fewer than 10 members，and 33（33/42，78.6%）reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%）reported having dedicated funding support.The top three challenges were：training sessions occupying instructors’personal time（27/42，64.3%），low instructor compensation（16/42，38.1%），and issues with the data submission system（16/42，38.1%）.Conclusion:Pediatric life support training centers in China are primarily children’s hospitals，with a geographical concentration in coastal areas，which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity，with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.

Objective:To analyze the factors associated with long-term survival after radical resection of hepatitis B virus(HBV)-associated hepatocellular carcinoma(HCC),and to construct random forest and Cox regression models,to evaluate the two models.Methods:A total of 368 patients with HBV-infected HCC who underwent radical resection were selected retrospectively.These patients were categorized as having a good prognosis(n=266)or a poor prognosis(n=102)based on their survival and mortality status.Univariate and Cox regression analysis were used to identify fac-tors that predict poor prognosis in HCC patients after surgery,and Cox regression and random forest prediction models were constructed and evaluated.Results:There were significant differences in smoking history,Child-Pugh classifica-tion,cirrhosis,microvascular invasion,TNM staging,tumor capsule integrity,platelet-to-lymphocyte ratio(PLR),regular antiviral therapy,HBV-DNA load,alpha-fetoprotein(AFP),neutrophil-to-lymphocyte ratio(NLR),systemic immune in-flammatory index(SII),and albumin-to-globulin ratio(AGR)between the two groups(P<0.05);Cox regression showed that cirrhosis,microvascular invasion,regular antiviral treatment,HBV-DNA load,NLR,PLR,SII,and AGR were related factors that negatively affected the prognosis of patients with HBV-infected HCC after surgery(P<0.05),with an AUC of 0.870 for predicting prognosis;the importance ranking obtained by the random forest model was HBV-DNA load,cirrho-sis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII,with an AUC of 0.926 for predicting prog-nosis;the AUC predicted by the random forest model was greater than that predicted by the Cox regression model(Z=2.411,P=0.016).Conclusion:HBV-DNA load,cirrhosis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII are factors that affect the poor prognosis of patients with HBV-related HCC after surgery.The random for-est prediction model constructed based on these factors has high predictive value and is superior to the Cox regression prediction model.

Objectives:We evaluated the clinical significance of unipolar electrogram and bipolar electrogram in guiding radiofrequency ablation for outflow tract ventricular premature contractions(PVC).Methods:Data were collected from 78 patients who underwent successful radiofrequency ablation of PVC.Pre-procedure electrocardiogram showed a LBBB morphology on inferior leads.In the included patients,the right-side ablation was performed at first,and if the ablation failed,the left-side ablation was then performed.According to the location of the successful ablation target,they were divided into unilateral ablation successful group and bilateral ablation successful group.The differences in the earliest bipolar local activation to QRS(LATBi),unipolar-dV/dTmax to QRS(LATUni),and local activation time were compared between the two groups.Furthermore,the electrogram characteristics predicting bilateral ablation were explored.Results:Patients were divided into unilateral ablation group(n=57)and bilateral ablation group(n=21)according to the ablation site.There were statistically significant differences in LATBi(25[21,30]ms vs.14[10,24]ms),LATUni(7[0,17]ms vs.-23[-41,-11]ms),and ΔLATBi-Uni(15[11,25]ms vs.44[25,56]ms)between the unilateral ablation group and the bilateral ablation group(all P<0.05).Multivariate regression analysis suggested that LATBi,LATUni,and ΔLATBi-Uni were independent predictors of the need for bilateral ablation.There was no significant difference between left and right LATBi,LATUni and ΔLATBi-Uni in the bilateral ablation group.LATUni≤-1 was the most accurate parameter for predicting the need for bilateral ablation(AUC=0.941;specificity 80.7%;sensitivity 100%).Conclusions:LATUni≤-1ms is a useful indicator for predicting the need for bilateral PVC ablation in this patient cohort.

Objective:To analyze the factors associated with long-term survival after radical resection of hepatitis B virus(HBV)-associated hepatocellular carcinoma(HCC),and to construct random forest and Cox regression models,to evaluate the two models.Methods:A total of 368 patients with HBV-infected HCC who underwent radical resection were selected retrospectively.These patients were categorized as having a good prognosis(n=266)or a poor prognosis(n=102)based on their survival and mortality status.Univariate and Cox regression analysis were used to identify fac-tors that predict poor prognosis in HCC patients after surgery,and Cox regression and random forest prediction models were constructed and evaluated.Results:There were significant differences in smoking history,Child-Pugh classifica-tion,cirrhosis,microvascular invasion,TNM staging,tumor capsule integrity,platelet-to-lymphocyte ratio(PLR),regular antiviral therapy,HBV-DNA load,alpha-fetoprotein(AFP),neutrophil-to-lymphocyte ratio(NLR),systemic immune in-flammatory index(SII),and albumin-to-globulin ratio(AGR)between the two groups(P<0.05);Cox regression showed that cirrhosis,microvascular invasion,regular antiviral treatment,HBV-DNA load,NLR,PLR,SII,and AGR were related factors that negatively affected the prognosis of patients with HBV-infected HCC after surgery(P<0.05),with an AUC of 0.870 for predicting prognosis;the importance ranking obtained by the random forest model was HBV-DNA load,cirrho-sis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII,with an AUC of 0.926 for predicting prog-nosis;the AUC predicted by the random forest model was greater than that predicted by the Cox regression model(Z=2.411,P=0.016).Conclusion:HBV-DNA load,cirrhosis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII are factors that affect the poor prognosis of patients with HBV-related HCC after surgery.The random for-est prediction model constructed based on these factors has high predictive value and is superior to the Cox regression prediction model.

Objectives:We evaluated the clinical significance of unipolar electrogram and bipolar electrogram in guiding radiofrequency ablation for outflow tract ventricular premature contractions(PVC).Methods:Data were collected from 78 patients who underwent successful radiofrequency ablation of PVC.Pre-procedure electrocardiogram showed a LBBB morphology on inferior leads.In the included patients,the right-side ablation was performed at first,and if the ablation failed,the left-side ablation was then performed.According to the location of the successful ablation target,they were divided into unilateral ablation successful group and bilateral ablation successful group.The differences in the earliest bipolar local activation to QRS(LATBi),unipolar-dV/dTmax to QRS(LATUni),and local activation time were compared between the two groups.Furthermore,the electrogram characteristics predicting bilateral ablation were explored.Results:Patients were divided into unilateral ablation group(n=57)and bilateral ablation group(n=21)according to the ablation site.There were statistically significant differences in LATBi(25[21,30]ms vs.14[10,24]ms),LATUni(7[0,17]ms vs.-23[-41,-11]ms),and ΔLATBi-Uni(15[11,25]ms vs.44[25,56]ms)between the unilateral ablation group and the bilateral ablation group(all P<0.05).Multivariate regression analysis suggested that LATBi,LATUni,and ΔLATBi-Uni were independent predictors of the need for bilateral ablation.There was no significant difference between left and right LATBi,LATUni and ΔLATBi-Uni in the bilateral ablation group.LATUni≤-1 was the most accurate parameter for predicting the need for bilateral ablation(AUC=0.941;specificity 80.7%;sensitivity 100%).Conclusions:LATUni≤-1ms is a useful indicator for predicting the need for bilateral PVC ablation in this patient cohort.

Objective:To explore the changes of serum histone deacetylase 2 (HDAC2), lonely G protein-coupled receptor ligand (Apelin) and B-type brain natriuretic peptide (BNP) in patients with chronic obstructive pulmonary disease (COPD) and the predictive value for prognosis.Methods:A retrospective selection was made of 100 COPD patients (COPD group) admitted to the Fourth People's Hospital of Langfang from May 2022 to May 2023 and 50 healthy individuals who underwent physical examinations during the same period (healthy control group) as the research subjects. The levels of serum HDAC2, Apelin and BNP in the two groups were compared. The levels of HDAC2, Apelin and BNP in COPD patients with different clinical characteristics were compared. The correlation among serum HDAC2, Apelin and BNP in COPD patients were analyzed by Spearman test. The predictive value of serum HDAC2, Apelin and BNP for the prognosis of patients with COPD was analyzed by the receiver operating characteristic (ROC) curve.Results:The level of HDAC2 in the COPD group was lower than that in the healthy control group, the levels of Apelin and BNP were higher than those in the healthy control group: (2.38 ± 0.56) U/L vs. (7.51 ± 1.33) U/L, (491.62 ± 53.82) ng/L vs. (337.19 ± 46.52) ng/L, (211.05 ± 23.46) ng/L vs. (37.52 ± 4.32) ng/L, there were statistical differences ( P<0.05). COPD patients with different clinical characteristics, including those in acute exacerbation and stable stages, mild, moderate and severe cases, COPD patients with pulmonary function grades Ⅱ, Ⅲ and Ⅳ, COPD patients with and without pulmonary hypertension, and patients with poor prognosis and good prognosis, there were statistically significant differences in the levels of HDAC2, Apelin and BNP ( P<0.05). The Spearman test results indicated that in COPD patients, serum HDAC2 was negatively correlated with Apelin ( r = - 0.469, P = 0.001), HDAC2 was negatively correlated with BNP ( r = - 0.435, P = 0.001), and Apelin was positively correlated with BNP ( r = 0.418, P = 0.001). The results of ROC curve analysis indicated that the combined detection of HDAC2, Apelin and BNP had the highest area under the curve for predicting the prognosis of COPD patients (0.954), with a sensitivity of 81.66%. Conclusions:COPD patients have lower HDAC2 and higher Apelin and BNP levels. The three indicators are correlated to a certain extent, and their levels are closely related to the clinical characteristics of patients. The combined detection of the three indicators can be used as important predictive indicators for the prognosis of COPD patients.

Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country，covering basic institutional information，training capacity and training faculty，training program funding，as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center，an online questionnaire was distributed，and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey，including 19 children's hospitals，14 general hospitals，6 maternal and child health hospitals，2 women and children’s hospitals，and 1 training institution.The distribution of training centers showed a concentration in coastal areas，with the top three provinces/municipalities being Guangdong（7/42，16.7%），Zhejiang（6/42，14.3%），and Shanghai（4/42，9.5%）.As of December 31 2023，the 42 institutions had an annual basic life support（BLS）training volume of 8 587 individuals，the median was 120 (100,200)，and an annual pediatric advanced life support（PALS）training volume of 2 448 individuals，the median was 30 (20,50).Among the 42 institutions，there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions，24（24/42，57.1%）reported BLS instructor teams comprising fewer than 10 members，and 33（33/42，78.6%）reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%）reported having dedicated funding support.The top three challenges were：training sessions occupying instructors’personal time（27/42，64.3%），low instructor compensation（16/42，38.1%），and issues with the data submission system（16/42，38.1%）.Conclusion:Pediatric life support training centers in China are primarily children’s hospitals，with a geographical concentration in coastal areas，which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity，with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.

Objective To explore the value of radiomics model and deep learning model based on unenhanced MRI in predicting microvascular invasion(MVI)of hepatocellular carcinoma(HCC)preoperatively.Methods A total of 189 patients with postopera-tive pathologically confirmed HCC from two centers were retrospectively selected,of which 119 cases from Zhujiang Hospital of Southern Medical University were used as the training set[60 cases with negative MVI,59 cases with positive MVI],and 70 cases from Shenzhen People's Hospital were used as the external test set[38 cases with negative MVI and 32 cases with positive MVI].Clinical indicators were analyzed by univariate and multivariate logistic regression analysis and the independent predictors of positive MVI were screened.Deep transfer learning(DTL)and traditional radiomics methods were used to construct radiomics model and deep learning model based on unenhanced MRI.The predictive performances of each model were compared using receiver operating charac-teristic(ROC)curves and area under the curve(AUC).DeLong test was employed to compare statistical differences in performance of the models.Results Alkaline phosphatase(ALP)and prothrombin time(PT)were independent predictors of positive MVI(P<0.05).The deep learning model based on T2WI had the best predictive efficacy,with AUC of 0.779[95%confidence interval(CI)0.696-0.863]and 0.741(95%CI 0.620-0.861)in the training set and external test set,respectively,and there were statistically significant differences compared with the radiomics model and the clinical model based on T1WI(P<0.05).Conclusion Deep learning model based on T2WI has a certain application value in preoperative noninvasive prediction of MVI status in HCC patients.

Objective To investigate the prognostic value of thrombin-antithrombin III complex(TAT),plasmin-α2-plasmin inhibitor complex(PIC),thrombomodulin(TM)and tissue plasminogen activator-inhibitor complex(t-PAIC)in patients with myelodysplastic syndrome(MDS).Methods Selected 88 primary MDS patients diagnosed at the 521 Hospital of Ordnance Industry from January 2018 to January 2021.Plasma levels of TAT,PIC,TM,t-PAIC,fibrin degradation products(FDP)and D-dimer(D-D)were measured.A multivariate approach was used to analyze the association between overall survival(OS)and the levels of each coagulation marker.Coagulation markers significantly associated with OS were used to construct a coagulation prognostic scoring system.Based on the median coagulation marker score,MDS patients were divided into high and low score groups.Kaplan-Meier analysis was used to plot survival curves.Results TAT(OR=1.667),PIC(OR=0.734),TM(OR=1.294)and t-PAIC(OR=1.523)were independent factors influencing OS in MDS patients(Wald χ2=0.671～10.751,all P<0.05).The β-values were integrated as statistical weights to construct a coagulation marker score,calculated as follows:[TAT]×0.502-[PIC]×1.013+[TM]×0.181+[t-PAIC]×0.381.The OS(median 14.6 months)and leukemia free survival(LFS)(median 10.3 months)of patients in the high coagulation marker score group were significantly lower than those in the low score group(33.6 months,35.2 months)(Log rank=20.57,26.84,all P<0.001).Subgroup analysis indicated that in both the low-risk IPSS-R subgroup(very low,low,and intermediate risk)and the high-risk IPSS-R subgroup(high and very high risk),the OS(Log rank=9.12,4.30)and LFS(Log rank=4.54,8.51)of the high coagulation marker score group were lower than those of the low score group(all P<0.05).Bivariate analysis showed a moderate correlation between the coagulation marker score and Revise International Prognostic Scoring System(IPSS-R)(PCC=0.536,P<0.001).Multivariate analysis indicated that IPSS-R and high coagulation marker scores were independent risk factors for OS and LFS in MDS patients(P<0.05).Conclusion The coagulation marker score,based on TAT,PIC,TM and t-PAIC,can serve as an independent prognostic factor for OS and LFS in MDS patients.