Objectives:To systemically evaluate the efficacy and safety of His-Purkinje conduction system pacing(HPCSP,including His bundle pacing[HBP]and left bundle branch area pacing[LBBAP])combined with atrioventricular node ablation for the treatment of atrial fibrillation combined with heart failure.Methods:The PubMed,Cochrane Library,Web of Science,Embase,China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP,and Yiigle were searched for studies on HPCSP combined with atrioventricular node ablation for the treatment of atrial fibrillation combined with heart failure since the established until July 31,2024.Meta-analysis was performed using RevMan 5.4 and Stata 15.1.Results:A total of 13 studies were included with 1 071 patients,the success rate of HPCSP combined with atrioventricular node ablation was 93.1%.The meta-analysis results revealed that,in terms of effectiveness outcomes,compared with baseline,left ventricular end-diastolic diameter(mean difference[MD]=-3.11,95%CI:-4.16 to-2.06,P<0.000 01)was significantly reduced,New York Heart Association(NYHA)cardiac function classification(MD=-1.36,95%CI:-1.48 to-1.24,P<0.000 01)was significantly decreased,and left ventricular ejection fraction(MD=9.86,95%CI:7.02 to 12.69,P<0.000 01)was significantly increased during follow-up.The pacing QRS duration was prolonged from baseline after atrioventricular node ablation(MD=7.83,95%CI:2.79 to 12.87,P=0.002);In terms of safety outcomes,HPCSP pacing thresholds remained stable(MD=0.07,95%CI:-0.01 to 0.15,P=0.11)and impedance was decreased(MD=-78.84,95%CI:-120.21 to-37.47,P=0.000 2)during operation and follow-up.The complication rate was 7.9%,the heart failure rehospitalization rate was 4.5%and the mortality rate was 5.8%.Compared with biventricular pacing(BVP),HPCSP was correlated with shorter pacing QRS duration(MD=-39.08,95%CI:-62.35 to-15.80,P=0.001)and higher left ventricular ejection fraction(MD=4.38,95%CI:0.37 to 8.40,P=0.03),there was no significant difference in left ventricular end-diastolic diameter(MD=-9.11,95%CI:-19.93 to 1.72,P=0.100).During follow-up,LBBAP exhibited a lower pacing threshold than HBP(MD=0.61,95%CI:0.23 to 1.00,P=0.002);Endpoint event rates were similar between HBP and LBBP(RR=1.47,95%CI:0.83 to 2.60,P=0.190).Conclusions:Results of this meta-analysis demonstrate that HPCSP combined with atrioventricular node ablation for the treatment of atrial fibrillation combined with heart failure is effective and safe.HPCSP is associated with better ventricular electro-mechanical synchronization and cardiac function compared with BVP,and LBBAP pacing parameters are superior to HBP.

Objectives:To analyze the effects of prone position ventilation in patients receiving extracorporeal membrane oxygenation(ECMO).Methods:A systematic search was conducted in databases including CNKI,Wanfang Data,China Biomedical Literature Database,PubMed,Embase,Cochrane Library,and Web of Science,from the inception of each database to October 2024,to identify studies on prone position ventilation for ECMO patients.Two researchers independently screened the literature,extracted data,and assessed the quality of the studies.Meta-analysis was performed using RevMan 5.4 software.Results:A total of 10 studies were included in this analysis,comprising 2 randomized controlled trials and 8 cohort studies.A total of 1 513 patients were included,674 were in the prone position ventilation group and 839 were in the supine position ventilation group.Analysis results of 6 studies showed that compared with supine position ventilation,prone position ventilation could increase the successful weaning rate of ECMO(OR=1.47,95%CI:1.07-2.01,P=0.02).Analysis results of 8 studies showed that compared with supine position ventilation,prone position ventilation could prolong the duration of ECMO treatment(mean difference[MD]=4.86 days,95%CI:0.95-8.77,P=0.01).Analysis results of 6 studies showed that the length of stay in the intensive care unit in the prone position ventilation group was significantly longer than that in the supine position ventilation group(MD=5.16 days,95%CI:1.08-9.25,P=0.01).Analysis results of 5 studies showed that the total length of hospital stay in the prone position ventilation group was significantly longer than that in the supine position ventilation group(MD=7.72 days,95%CI:2.10-13.34,P<0.01).Analysis results of 6 studies showed that compared with supine position ventilation,prone position ventilation could prolong the duration of mechanical ventilation(MD=6.06 days,95%CI:0.63-11.49,P=0.03).Prone position ventilation had no obvious advantage in improving patient survival rate.Conclusions:Prone position ventilation can improve the successful weaning rate from ECMO and prolong the duration of ECMO treatment as well as the duration of mechanical ventilation,but it has no significant impact on patient survival rate.Due to the generally small sample size in the studies,further research with larger sample sizes is needed to confirm the effective impact of prone position ventilation in patients receiving ECMO treatment.

Objective To predict the invasion degree of subsolid nodule(SSN)lung adenocarcinoma using a combined model incorporating artificial intelligence(AI)quantitative parameters and imaging signs,and to validate the predictive efficacy of this model.Methods A total of 281 SSN lung adenocarcinoma CT images in 243 patients were retrospectively collected and randomly divided into training set(224 cases)and validation set(57 cases)in an 8∶2 ratio,with atypical adenomatous hyperplasia(A AH)+adenocarcinoma in situ(AIS)+minimally invasive adenocarcinoma(MIA)(191 cases)as the non-invasive adenocarcinoma(I AC)group and I AC(90 cases)as the IAC group.Multivariate logistic regression analysis was performed based on the AI quantitative parameters and CT signs in the training set to obtain independent predictors of IAC.A combined model and nomogram were then constructed and validated.The diagnostic efficacy and clinical applicability of the model were evaluated by the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA).Results Multivariate logistic regression analysis of the training set showed nodule type,spicule sign,vascular abnormality,long diameter＞11.5 mm,median CT value＞—426.25 HU,and mass＞391.5 mg were independent predictors of IAC(P＜0.05).The area under the curve(AUC)of the training set model,based on these independent predictive factors,was 0.915[95％confidence interval(CI)0.875-0.954],and the AUC of the validation set model was 0.903(95％CI 0.824-0.982),indicating both the training set and validation set models had high efficacy in distinguishing IAC.The nomogram model,which quantified these independent factors,demonstrated enhanced predictive power for IAC.The calibration curve indicated good fit of the prediction model,and the clinical DCA showed the model had good clinical applicability.Conclusion The model combining AI quantitative parameters and imaging signs has a higher ability to predict the risk of IAC,compared to a single indicator.It helps clinicians in determining the appropriate surgical timing,formulating surgical methods,and reducing overtreatment.

Objective The study aimed to investigate the predictive efficacy of contrast-enhanced ultrasound combined with telomerase reverse transcriptase(TERT)promoter mutation in constructing nomogram model for the prediction of concomitant cervical lymph node metastasis(CLNM)in papillary thyroid microcarcinoma(pTMC).Methods A total of 202 patients with pTMC who underwent partial or total thyroidectomy+lymph node dissection at our hospital from January 2021 to March 2024 were selected.Then,they were divided into the CLNM group(97 patients)and the non-CLNM group(105 patients)according to whether they had concomitant CLNM on postoperative pathological examination.General data and ultrasound(conventional ultrasound and contrast-enhanced ultrasound)characteristics were collected from all patients with pTMC,and Sanger sequencing was used to detect TERT promoter mutations.The influencing factors of pTMC complicated by CLNM were analyzed by single-factor and multifactorial unconditional logistic regression;the nomogram model of pTMC complicating CLNM with contrast-enhanced ultra-sound combined with TERT promoter mutation was constructed by RStudio 4.4.1 software,and the consistency and net benefit of the nomogram model were evaluated by using calibration curves,decision curves,and C-indexes,and the Hosmer-Lemeshow test for goodness of fit of the nomogram model;The predictive efficiency of the nomogram model constructed by combining contrast-enhanced ultrasound and TERT promoter mutation for pTMC complicated by CLNM was evaluated by plotting receiver operating characteristic(ROC)curves using MedCalc22.023 software.Results After postoperative pathological examination,the incidence of CLNM in 202 patients with pTMC was 48.02%(97/202).Univariate analysis showed that thyroglobulin antibodies,number of lesions,aspect ratio,micro-calcifications,enhancement time,enhancement mode,enhancement intensity,capsular continuity,and TERT promoter mutations were associated with pTMC complicating CLNM(P<0.05).Multifactorial unconditional logistic regression showed that multifocal tumours(OR=3.487,95%CI:1.641～7.406,P=0.001),microcalcifications(OR=4.484,95%CI:2.113～9.516,P<0.001),equal or high enhancement(OR=3.187,95%CI:1.460～6.957,P=0.004),disruption of peritoneal continuity(OR=2.201,95%CI:1.051～4.608,P=0.036),and TERT promoter mutation positivity(OR=4.460,95%CI:2.132～10.103,P<0.001)were the independent risk factors for pTMC complicating CLNM.A contrast-enhanced ultrasound combined TERT promoter mutation nomogram model was constructed based on independent risk factors for pTMC complicating CLNM[Logit(p)=-4.486+1.350×number of foci+1.399×microcalcifications+2.124×intensity of enhancement+1.524×capsular continuity+2.175×TERT promoter mutations].The C-index of this nomogram model was 0.899(95%CI:0.893～0.905),the calibra-tion curve alignment was close to the ideal curve,the decision curve was higher than the two extreme curves,and the Hosmer-Lemeshow test showed a P>0.05.The ROC curve analysis showed that the nomogram model constructed with contrast-enhanced ultrasound combined with TERT promoter mutations predicted CLNM in pTMC with an area under the curve of 0.899.This was significantly higher than the area under the curves for contrast-enhanced ultra-sound alone(0.857)and TERT promoter mutations alone(0.697)(P<0.05).Conclusion The contrast-enhanced ultrasound combined with TERT promoter mutations to construct a nomogram model has high predictive efficiency for pTMC complicating CLNM.

Objective To investigate the causal relationship between abnormal placental lipid metabolism and trophoblast dysfunction in patients with preeclampsia(PE),and to explore the regulatory effects of PPARγ on trophoblast function under hypoxic conditions.Methods Placental tissues were collected from 30 patients with PE and 30 individuals with normal pregnancies at the General Hospital of Ningxia Medical University between October 2020 and November 2021 for the analysis of lipid deposition.A rat model of PE was established,comprising a sham-operated(Sham)group and a reduced uterine perfusion pressure(Rupp)group,with six rats in each group(n=12 total).Human trophoblast cells(HTR-8/SVneo)were cultured in vitro and randomly assigned to four experimental groups:normoxic control,hypoxia,hypoxia+PPARγ agonist(Rosiglitazone),and hypoxia+PPARγ antagonist(T0070907).The expression levels of lipid metabolism-related genes and transcription factors(FASN,FABP4,PPARγ,LXRα)were assessed using RT-qPCR.Western blotting was performed to determine the protein expression levels of PPARγ.Cell migration and invasion capacities were evaluated using scratch wound healing and Transwell assays,respectively.Results Placental lipid deposition in the PE group was significantly higher than that in the control group,particularly in the Rupp model mice(P<0.001).Under hypoxic conditions,the expression levels of FASN and FABP4 were upregulated in trophoblast cells(P<0.001),whereas the expression of PPARγ and LXRα was downregulated(P<0.001).Furthermore,treatment with the PPARγ antagonist T0070907 exacerbated the inhibitory effects of hypoxia on cell function(P<0.001),significantly reducing cell invasion and migration capacity(P<0.001).Additional siRNA-mediated knockdown experiments confirmed that PPARγ deficiency further aggravated hypoxia-induced impairments in cell migration and invasion,and this detrimental effect could not be reversed by Rosiglitazone.Conclusions Abnormal placental lipid metabolism in PE is closely linked to PPARγ-mediated enhancement of lipid synthesis and metabolic dysregulation under hypoxic conditions,which may subsequently impair trophoblast invasion and migration.

Objectives:To analyze the effects of prone position ventilation in patients receiving extracorporeal membrane oxygenation(ECMO).Methods:A systematic search was conducted in databases including CNKI,Wanfang Data,China Biomedical Literature Database,PubMed,Embase,Cochrane Library,and Web of Science,from the inception of each database to October 2024,to identify studies on prone position ventilation for ECMO patients.Two researchers independently screened the literature,extracted data,and assessed the quality of the studies.Meta-analysis was performed using RevMan 5.4 software.Results:A total of 10 studies were included in this analysis,comprising 2 randomized controlled trials and 8 cohort studies.A total of 1 513 patients were included,674 were in the prone position ventilation group and 839 were in the supine position ventilation group.Analysis results of 6 studies showed that compared with supine position ventilation,prone position ventilation could increase the successful weaning rate of ECMO(OR=1.47,95%CI:1.07-2.01,P=0.02).Analysis results of 8 studies showed that compared with supine position ventilation,prone position ventilation could prolong the duration of ECMO treatment(mean difference[MD]=4.86 days,95%CI:0.95-8.77,P=0.01).Analysis results of 6 studies showed that the length of stay in the intensive care unit in the prone position ventilation group was significantly longer than that in the supine position ventilation group(MD=5.16 days,95%CI:1.08-9.25,P=0.01).Analysis results of 5 studies showed that the total length of hospital stay in the prone position ventilation group was significantly longer than that in the supine position ventilation group(MD=7.72 days,95%CI:2.10-13.34,P<0.01).Analysis results of 6 studies showed that compared with supine position ventilation,prone position ventilation could prolong the duration of mechanical ventilation(MD=6.06 days,95%CI:0.63-11.49,P=0.03).Prone position ventilation had no obvious advantage in improving patient survival rate.Conclusions:Prone position ventilation can improve the successful weaning rate from ECMO and prolong the duration of ECMO treatment as well as the duration of mechanical ventilation,but it has no significant impact on patient survival rate.Due to the generally small sample size in the studies,further research with larger sample sizes is needed to confirm the effective impact of prone position ventilation in patients receiving ECMO treatment.

BACKGROUND:Previous studies found that the proliferative scar-specific long non-coding RNA lncRNA HSFAS is a novel biomarker that can be used in the diagnosis of hypertrophic scar,but how it functions in hypertrophic scar is not clear. OBJECTIVE:To investigate the role and mechanism of lncRNA HSFAS in hypertrophic scar.METHODS:Fresh scar tissue and surrounding normal skin tissue samples from three patients with hypertrophic scar were collected,and tissue immunofluorescence was used to detect the expression of lncRNA HSFAS in frozen sections of two skin tissues. Primary fibroblasts were isolated from proliferative scarred skin tissue and normal skin tissue and cultured by enzyme digestion method. Quantitative real-time PCR was used to detect the mRNA expression of lncRNA HSFAS in cells. The proteins bound to lncRNA HSFAS were detected by RNA pull-down combined mass spectrometry. GO and KEGG were used to analyze the main functions and pathways of lncRNA HSFAS involved in hypertrophic scar progression. The targeted binding of lncRNA HSFAS to proteins was determined by catRAPID and RPISeq website analysis. RESULTS AND CONCLUSION:Compared with normal skin tissue and fibroblasts from normal skin tissue,the expression of lncRNA HSFAS in human hypertrophic scar tissue and primary fibroblasts from hypertrophic scar tissue was significantly increased (P<0.05). There were 510 proteins clearly bound to lncRNA HSFAS by RNA pull-down combined mass spectrometry. The results of GO and KEGG analyses showed that these proteins were mainly involved in RNA splicing and processing,chromosome synthesis and separation,and cell cycle. Among them,the proteins involved in RNA splicing and processing included scaffold attachment factor B2 and DICER1,and the binding fraction with lncRNA HSFAS was higher. The results of bioinformatics analysis showed that lncRNA HSFAS was bound to scaffold attachment factor B2 and DICER1 proteins. To conclude,lncRNA HSFAS may affect gene expression by interacting with scaffold attachment factor B2 and DICER1 proteins to regulate RNA splicing and processing modification,thus promoting the occurrence and development of hypertrophic scar.

Objective The study aimed to investigate the predictive efficacy of contrast-enhanced ultrasound combined with telomerase reverse transcriptase(TERT)promoter mutation in constructing nomogram model for the prediction of concomitant cervical lymph node metastasis(CLNM)in papillary thyroid microcarcinoma(pTMC).Methods A total of 202 patients with pTMC who underwent partial or total thyroidectomy+lymph node dissection at our hospital from January 2021 to March 2024 were selected.Then,they were divided into the CLNM group(97 patients)and the non-CLNM group(105 patients)according to whether they had concomitant CLNM on postoperative pathological examination.General data and ultrasound(conventional ultrasound and contrast-enhanced ultrasound)characteristics were collected from all patients with pTMC,and Sanger sequencing was used to detect TERT promoter mutations.The influencing factors of pTMC complicated by CLNM were analyzed by single-factor and multifactorial unconditional logistic regression;the nomogram model of pTMC complicating CLNM with contrast-enhanced ultra-sound combined with TERT promoter mutation was constructed by RStudio 4.4.1 software,and the consistency and net benefit of the nomogram model were evaluated by using calibration curves,decision curves,and C-indexes,and the Hosmer-Lemeshow test for goodness of fit of the nomogram model;The predictive efficiency of the nomogram model constructed by combining contrast-enhanced ultrasound and TERT promoter mutation for pTMC complicated by CLNM was evaluated by plotting receiver operating characteristic(ROC)curves using MedCalc22.023 software.Results After postoperative pathological examination,the incidence of CLNM in 202 patients with pTMC was 48.02%(97/202).Univariate analysis showed that thyroglobulin antibodies,number of lesions,aspect ratio,micro-calcifications,enhancement time,enhancement mode,enhancement intensity,capsular continuity,and TERT promoter mutations were associated with pTMC complicating CLNM(P<0.05).Multifactorial unconditional logistic regression showed that multifocal tumours(OR=3.487,95%CI:1.641～7.406,P=0.001),microcalcifications(OR=4.484,95%CI:2.113～9.516,P<0.001),equal or high enhancement(OR=3.187,95%CI:1.460～6.957,P=0.004),disruption of peritoneal continuity(OR=2.201,95%CI:1.051～4.608,P=0.036),and TERT promoter mutation positivity(OR=4.460,95%CI:2.132～10.103,P<0.001)were the independent risk factors for pTMC complicating CLNM.A contrast-enhanced ultrasound combined TERT promoter mutation nomogram model was constructed based on independent risk factors for pTMC complicating CLNM[Logit(p)=-4.486+1.350×number of foci+1.399×microcalcifications+2.124×intensity of enhancement+1.524×capsular continuity+2.175×TERT promoter mutations].The C-index of this nomogram model was 0.899(95%CI:0.893～0.905),the calibra-tion curve alignment was close to the ideal curve,the decision curve was higher than the two extreme curves,and the Hosmer-Lemeshow test showed a P>0.05.The ROC curve analysis showed that the nomogram model constructed with contrast-enhanced ultrasound combined with TERT promoter mutations predicted CLNM in pTMC with an area under the curve of 0.899.This was significantly higher than the area under the curves for contrast-enhanced ultra-sound alone(0.857)and TERT promoter mutations alone(0.697)(P<0.05).Conclusion The contrast-enhanced ultrasound combined with TERT promoter mutations to construct a nomogram model has high predictive efficiency for pTMC complicating CLNM.

Objective To predict the invasion degree of subsolid nodule(SSN)lung adenocarcinoma using a combined model incorporating artificial intelligence(AI)quantitative parameters and imaging signs,and to validate the predictive efficacy of this model.Methods A total of 281 SSN lung adenocarcinoma CT images in 243 patients were retrospectively collected and randomly divided into training set(224 cases)and validation set(57 cases)in an 8∶2 ratio,with atypical adenomatous hyperplasia(A AH)+adenocarcinoma in situ(AIS)+minimally invasive adenocarcinoma(MIA)(191 cases)as the non-invasive adenocarcinoma(I AC)group and I AC(90 cases)as the IAC group.Multivariate logistic regression analysis was performed based on the AI quantitative parameters and CT signs in the training set to obtain independent predictors of IAC.A combined model and nomogram were then constructed and validated.The diagnostic efficacy and clinical applicability of the model were evaluated by the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA).Results Multivariate logistic regression analysis of the training set showed nodule type,spicule sign,vascular abnormality,long diameter＞11.5 mm,median CT value＞—426.25 HU,and mass＞391.5 mg were independent predictors of IAC(P＜0.05).The area under the curve(AUC)of the training set model,based on these independent predictive factors,was 0.915[95％confidence interval(CI)0.875-0.954],and the AUC of the validation set model was 0.903(95％CI 0.824-0.982),indicating both the training set and validation set models had high efficacy in distinguishing IAC.The nomogram model,which quantified these independent factors,demonstrated enhanced predictive power for IAC.The calibration curve indicated good fit of the prediction model,and the clinical DCA showed the model had good clinical applicability.Conclusion The model combining AI quantitative parameters and imaging signs has a higher ability to predict the risk of IAC,compared to a single indicator.It helps clinicians in determining the appropriate surgical timing,formulating surgical methods,and reducing overtreatment.

Objective To investigate the causal relationship between abnormal placental lipid metabolism and trophoblast dysfunction in patients with preeclampsia(PE),and to explore the regulatory effects of PPARγ on trophoblast function under hypoxic conditions.Methods Placental tissues were collected from 30 patients with PE and 30 individuals with normal pregnancies at the General Hospital of Ningxia Medical University between October 2020 and November 2021 for the analysis of lipid deposition.A rat model of PE was established,comprising a sham-operated(Sham)group and a reduced uterine perfusion pressure(Rupp)group,with six rats in each group(n=12 total).Human trophoblast cells(HTR-8/SVneo)were cultured in vitro and randomly assigned to four experimental groups:normoxic control,hypoxia,hypoxia+PPARγ agonist(Rosiglitazone),and hypoxia+PPARγ antagonist(T0070907).The expression levels of lipid metabolism-related genes and transcription factors(FASN,FABP4,PPARγ,LXRα)were assessed using RT-qPCR.Western blotting was performed to determine the protein expression levels of PPARγ.Cell migration and invasion capacities were evaluated using scratch wound healing and Transwell assays,respectively.Results Placental lipid deposition in the PE group was significantly higher than that in the control group,particularly in the Rupp model mice(P<0.001).Under hypoxic conditions,the expression levels of FASN and FABP4 were upregulated in trophoblast cells(P<0.001),whereas the expression of PPARγ and LXRα was downregulated(P<0.001).Furthermore,treatment with the PPARγ antagonist T0070907 exacerbated the inhibitory effects of hypoxia on cell function(P<0.001),significantly reducing cell invasion and migration capacity(P<0.001).Additional siRNA-mediated knockdown experiments confirmed that PPARγ deficiency further aggravated hypoxia-induced impairments in cell migration and invasion,and this detrimental effect could not be reversed by Rosiglitazone.Conclusions Abnormal placental lipid metabolism in PE is closely linked to PPARγ-mediated enhancement of lipid synthesis and metabolic dysregulation under hypoxic conditions,which may subsequently impair trophoblast invasion and migration.