ObjectiveTo construct a nomogram prediction model for non-valvular persistent atrial fibrillation （PeAF） patients with left ventricular hypertrophy （LVH） ， followed by prognostic analysis through follow-up. MethodsThis study retrospectively enrolled 949 patients with newly diagnosed and hospitalized non-valvular PeAF. Among them， 403 patients presented with LVH. The cohort was randomly stratified into a training set （n=665） and a validation set （n=284）. Univariate and multivariate Logistic regression analyses were employed to identify independent risk factors for PeAF complicated by LVH. A nomogram prediction model was subsequently constructed and evaluated for discriminative ability， calibration， and clinical utility using receiver operating characteristic （ROC） curve analysis， calibration plots， and decision curve analysis （DCA）. ResultsSeven independent risk factors were ultimately identified and included in the prediction model： female sex， hypertension， diabetes， red blood cell distribution width-SD （RDW-SD）， body mass index （BMI）， left atrial diameter （LAD）， and left ventricular ejection fraction （LVEF）. The area under the ROC curve （AUC） in the training set was 0.862 （95% CI： 0.834-0.890）， and in the validation set， it was 0.870 （95% CI： 0.829-0.911）， demonstrating excellent predictive performance. ConclusionIndependent risk factors for LVH in PeAF patients include female， hypertension， diabetes， RDW-SD， BMI， LAD， and LVEF. The prediction model built based on this can help early identification of PeAF patients with high risk of LVH. At the same time， the incidence of major adverse cardiovascular events （MACE） is higher in PeAF patients with LVH. Patients with atrial fibrillation combined with LVH may benefit from catheter ablation.

Objective This study aims to develop an early in-hospital temperature management protocol for heat stroke patients and assess its effectiveness,providing guidance for rapid cooling and precise target temperature control.Methods The protocol was developed through a Delphi expert consultation combined with expert panel meetings.A multi-center,non-randomized,historical control study was conducted,utilizing convenience sampling to select heat stroke patients from the emergency departments of 7 tertiary hospitals in Zhejiang Province,China,between June and August 2024 as an experimental group.The protocol was implemented in this group,while the control group consisted of heat stroke patients treated between June and August 2022,prior to protocol implementation.Cooling rates,target temperature attainment rates,and clinical outcomes were compared between the 2 groups.Results The final protocol included 6 primary indicators,23 secondary indicators,and 56 tertiary indicators.After protocol implementation,the experimental group achieved a cooling rate of 0.08(0.05～0.09)℃/min within 0.5 hours,significantly higher than the control group,which had a rate of 0.04(0.02～0.06)℃/min(P＜0.001).The target temperature attainment rates at 0.5 hours and 2.0 hours were 55.93％and 98.31％,respectively,significantly higher than the rates of 15.87％and 61.11％in the control group(P＜0.001).The mechanical ventilation rate,hospitalization rate,ICU admission rate,and mortality rate in the experimental group were 25.42％,61.02％,44.07％,and 8.47％,respectively.Logistic regression analysis revealed that the early in-hospital temperature management protocol significantly reduced the risk of mechanical ventilation and hospitalization in heat stroke patients,with odds ratios(ORs)of 0.294 and 0.300,respectively(both P＜0.05).Conclusion The developed protocol for early in-hospital temperature management in heat stroke patients is scientific,systematic,and practical.It improves cooling rates and target temperature attainment,thereby enhancing the prognosis of heat stroke patients.

Objective To investigate the clinical utility of krebs von den lungen-6(KL-6),a sialoglycan antigen,in the auxiliary diagnosis of idiopathic pulmonary hemosiderosis(IPH)in children.Methods A total of 140 children admitted to the First Affiliated Hospital of Guangzhou Medical University from June 2014 to July 2024 were categorized into a case group and a control group.The case group was further subdivided into four subgroups based on disease type:IPH group(n=32),interstitial lung disease(ILD)group(n=22),pneumonia(PN)group(n=60),and non-pulmonary disease(NPD)group(n=26).Serum KL-6 levels were measured for all children across these groups,and the differences in KL-6 expression between children with IPH and those without IPH(including the ILD,PN,and NPD groups)were analyzed.Results The positive rates of KL-6 in each group of children,from highest to lowest,were as follows:IPH(68.75%),ILD(45.45%),PN(1.69%),and NPD(0.00%).The differences in positive rates between groups were statistically significant(χ2=66.10,P<0.001).The mean serum level of KL-6 in the IPH group was significantly higher than that in the PN group(Z=-6.92,P<0.001).Diagnostic test results indicated that the area under the ROC curve was 0.940(95%CI:0.89 to 1.00,P<0.001),with a cut off value of 392.00 U/mL,sensitivity of 81.30%,and specificity of 95.00%.Conclusions KL-6 demonstrates significant diagnostic value in distinguishing IPH children from those with PN and NPD,making it a promising blood biomarker for aiding in the diagnosis of IPH.

Objective To evaluate the clinical effects of cast post and cores with traction design in coronal extrusion of upper anterior teeth with subgingival fracture.Methods Twenty-five upper anterior teeth with subgingival fracture were treated by root canal therapy,then cast post and cores with traction design and composite resin crown restorations were made for orthodontic extrusion.Position reten-tion and gingival margin modification were performed before crown restoration of these teeth.The correlation between extrusion length and extrusion time was evaluated,as well as the correlation between extrusion length and migration distance in coronal direction about the gingival margin.Crown-root ratio and post-root ratio below the alveolar crest was evaluated after the crown restorations were finished.Evaluation of restoration effects was carried out in 3,6,12 months follow-up period.Results Root resorption began to appear on one tooth at six weeks;the remaining 24 teeth were migrated to target position and prosthesis were finished.There was a positive correlation between the extrusion length(x)and extrusion time(y1),also between the extrusion length(x)and migration distance in coronal di-rection about the gingival margin(y2)by statistical analysis.There was no significant difference(P＞0.05)between the extrusion teeth and compared teeth on crown-root ratio.More than 1/2 of the ratio between the length of post to the length of root below the alveolar crest.The prognostic stability was satisfied in 3,6,12 months follow-up period.Conclusion There are satisfactory clinical application effects of cast post and cores with traction design in coronal extrusion of upper anterior teeth with subgingival fracture.

Objective To observe the value of multi-task improved nnU-Net model based on enhanced CT for segmenting primary oral cancer and predicting patients'relapse free survival(RFS).Methods Enhanced CT data of 186 cases of primary oral cancer were retrospectively analyzed,and a multi-task improved nnU-Net model was constructed for tumor segmentation and survival prediction tasks.Pre-training of tumor segmentation was completed with nnU-Net as the baseline network,and the accuracy of recognizing and segmenting tumor was improved by enhancing the decoder through the modified skip connection.Then univariable and multivariable regression analyses were used to select clinical features closely associated with RFS.Radiomics and deep learning features were also extracted to construct a survival prediction model,with fine-tuning of the above model.The training set,validation set and test set were divided at a ratio of 7∶2∶1.Dice similarity coefficient(DSC)was used to evaluate the segmentation performance of the modified model,and the consistency index C-index was used to verify the performance of the improved model for predicting RFS.Results DSC of the multi-task improved nnU-Net model(0.78)for segmenting primary oral cancer was superior to that of 3D Inception ResNet(0.65),3D InceptSENet(0.75)and 3D U-Net models(0.69),respectively,its C-index for predicting RFS(0.798)was higher than that of Cox regression model(0.744),ICARE model(0.761),random forest model(0.744),DeepSurv model(0.735),nnU-Net model(0.760)and radiology+nnU-Net model(0.744),respectively.DSC for segmenting primary oral cancer and C-index for predicting RFS of multi-task improved nnU-Net model were both superior to those of simple baseline network(0.653 and 0.649),baseline network+multi-scale convolution fusion(0.755 and 0.752),as well as baseline network combined with clinical features(0.764 and 0.759),radiomics features(0.770 and 0.764)and clinical+radiomics features(0.773 and 0.761),respectively.Conclusion Multi-task improved nnU-Net model could be used to effectively improve the accuracy of tumor segmentation and predicting patients'RFS.

Objective:To analyze the efficacy of combination of peginterferon α-2b（Peg-IFN α-2b）with nucleos（t）ide analogues（NAs）on antiviral therapy in children with chronic hepatitis B（CHB）and to provide an optimized clinical treatment strategies for CHB children.Methods:A retrospective analysis was conducted on 30 CHB children treated in The First Affiliated Hospital of the Army Medical University（Southwest Hospital）from January 2022 to January 2025 with treatment duration at least 48 weeks. The enrolled children were aged between 2 and 17 years and divided into the NAs combined with Peg-IFN α-2b（NPI）group（n=13）and NAs group（n=17）by their therapy regimens. The characteristics of baseline，week 12，week 24，week 48 and week 96 were compared between groups，as well as the differences in response to biochemical，immune and viral indicators at each observation point. Logistic regression analysis and receiver operating characteristic（ROC）curve analysis were performed to identify factors influencing the HBsAg seroclearance. Results:At baseline of treatment，the proportion of HBeAg positivity in the NPI group and the NAs group was high（76.9% vs 86.6%， χ2=0.679， P=0.628），and the alanine aminotransferase（ALT）and aspartate aminotransferase（AST）in the NPI group were significantly lower than those in the NAs group（ P<0.001）. At 24 weeks，the decrease in HBsAg in the NPI group was also significantly higher than that in the NAs group（ Z=-3.161， P=0.002）. Finally，the cumulative seroclearance rate of HBsAg at 96 weeks in the NPI group was significantly higher than that in the NAs group（46.15% vs 5.88%， χ2=0.679， P=0.025）. Mulitivariate Logistic regression analysis showed that treatment regimen and gender were risk factors affecting the outcome of HBsAg（ P<0.05）. ROC curve analysis showed that the increase in ALT at 12 weeks compared with baseline（AUC=0.857，Cutoff value=3.615 IU/L），the decrease in ALT at 24 weeks（AUC=0.870，Cutoff value=47.85 IU/L），and the decrease in HBsAg at 12 weeks and especially at 24 weeks（AUC=0.885，Cutoff value=0.97log IU/ml）were effective predictors of HBsAg prognosis at 96 weeks. Conclusion:In CHB children，antiviral regimen Peg-IFN α-2b combined with NAs was more effective than NAs alone in improving the HBsAg seroclearance rate of CHB，and the effects in female were better than in male. The decline of HBsAg and the fluctuation of ALT in the early treatment period are valid predictors of HBsAg clearance.

Saponins associated with Panax notoginseng (P. notoginseng) demonstrate significant therapeutic efficacy across multiple diseases. However, certain high-yield saponins face limited clinical applications due to their reduced pharmacological efficacy. This study synthesized and evaluated 36 saponin-1,2,3-triazole derivatives of ginsenosides Rg1/Rb1 and notoginsenoside R1 for anti-adipogenesis activity in vitro. The research revealed that the ginsenosides Rg1-1,2,3-triazole derivative a17 demonstrates superior adipogenesis inhibitory effects. Structure-activity relationships (SARs) analysis indicates that incorporating an amidyl-substituted 1,2,3-triazole into the saponin side chain via Click reaction enhances anti-adipogenesis activity. Additionally, several other derivatives exhibit general adipogenesis inhibition. Compound a17 demonstrated enhanced potency compared to the parent ginsenoside Rg1. Mechanistic investigations revealed that a17 exhibits dose-dependent inhibition of adipogenesis in vitro, accompanied by decreased expression of preadipocytes. Peroxisome proliferator-activated receptor γ (PPARγ), fatty acid synthase (FAS), and fatty acid binding protein 4 (FABP4) adipogenesis regulators. These findings establish the ginsenoside Rg1-1,2,3-triazole derivative a17 as a promising adipocyte differentiation inhibitor and potential therapeutic agent for obesity and associated metabolic disorders. This research provides a foundation for developing effective therapeutic approaches for various metabolic syndromes.
Adipogenesis/drug effects* ; Triazoles/chemical synthesis* ; Ginsenosides/chemical synthesis* ; Saponins/chemical synthesis* ; Animals ; Mice ; Structure-Activity Relationship ; PPAR gamma/genetics* ; 3T3-L1 Cells ; Adipocytes/metabolism* ; Panax notoginseng/chemistry* ; Drug Design ; Molecular Structure ; Humans ; Cell Differentiation/drug effects* ; Fatty Acid-Binding Proteins/genetics*

Objective To explore the molecular mechanism of cerebroprotein hydrolysate-1(CH-1)in improving cognitive impairment of VD at animal level,and to determine the regulatory effect of CH-1 on Nrf2/ARE signaling pathway.Methods Thirty-six SD rats were randomly divided into sham operation group,VD group,low-and high-dose groups,with 9 rats in each group.VD model was established by bilateral common carotid artery ligation,and CH-1 was injected intraperitone-ally for 3 weeks.Morris water maze test and new object recognition test were performed to evalu-ate cognitive function.Hippocampal tissues was collected for immunohistochemistry/Western blot analysis.Results Compared with the sham operation group,the VD group exhibited significantly prolonged escape latency at 2-4 d of Morris water maze test,and up-regulated expression of ubiquitinated protein,LC3 Ⅱ/Ⅰ ratio,P65 and Beclin1 protein in the hippocampus,while down-regulated P62 expression(P＜0.05).Obviously shortened escape latency was observed in the high-dose group at 3-4 d and the low-dose group at 4 d than the VD group(P＜0.05).The resi-dence time in target quadrant,number of platform crossings,total exploration time of novel object recognition in the high-dose group and the total exploration time of novel object recognition in the low-dose group were significantly longer than those in VD group(P＜0.05).The expression levels of ubiquitinated,LC3 Ⅱ/Ⅰ ratio,P65 and Beclin1 were significantly lower in the low-dose group and high-dose group than the VD group(P＜0.05).The expression level of P62 protein in the VD group,low-and high-dose group were significantly increased in a dose-dependent manner(2.78±0.44,1.80±0.24 vs 3.67±0.34;2.37±0.26,1.53±0.09 vs 2.92±0.19;2.74±0.14,1.81±0.19 vs 3.93±0.50;2.28±0.17,1.72±0.17 vs 3.17±0.31,P＜0.05).Conclusion CH-1 can effectively improve the cognitive ability of VD rats and reduce the autophagy of hippocampal neurons.This therapeutic effect may be closely related to its enhancing activity of Nrf2/ARE signaling pathway.

Objective:To analyze the efficacy of combination of peginterferon α-2b（Peg-IFN α-2b）with nucleos（t）ide analogues（NAs）on antiviral therapy in children with chronic hepatitis B（CHB）and to provide an optimized clinical treatment strategies for CHB children.Methods:A retrospective analysis was conducted on 30 CHB children treated in The First Affiliated Hospital of the Army Medical University（Southwest Hospital）from January 2022 to January 2025 with treatment duration at least 48 weeks. The enrolled children were aged between 2 and 17 years and divided into the NAs combined with Peg-IFN α-2b（NPI）group（n=13）and NAs group（n=17）by their therapy regimens. The characteristics of baseline，week 12，week 24，week 48 and week 96 were compared between groups，as well as the differences in response to biochemical，immune and viral indicators at each observation point. Logistic regression analysis and receiver operating characteristic（ROC）curve analysis were performed to identify factors influencing the HBsAg seroclearance. Results:At baseline of treatment，the proportion of HBeAg positivity in the NPI group and the NAs group was high（76.9% vs 86.6%， χ2=0.679， P=0.628），and the alanine aminotransferase（ALT）and aspartate aminotransferase（AST）in the NPI group were significantly lower than those in the NAs group（ P<0.001）. At 24 weeks，the decrease in HBsAg in the NPI group was also significantly higher than that in the NAs group（ Z=-3.161， P=0.002）. Finally，the cumulative seroclearance rate of HBsAg at 96 weeks in the NPI group was significantly higher than that in the NAs group（46.15% vs 5.88%， χ2=0.679， P=0.025）. Mulitivariate Logistic regression analysis showed that treatment regimen and gender were risk factors affecting the outcome of HBsAg（ P<0.05）. ROC curve analysis showed that the increase in ALT at 12 weeks compared with baseline（AUC=0.857，Cutoff value=3.615 IU/L），the decrease in ALT at 24 weeks（AUC=0.870，Cutoff value=47.85 IU/L），and the decrease in HBsAg at 12 weeks and especially at 24 weeks（AUC=0.885，Cutoff value=0.97log IU/ml）were effective predictors of HBsAg prognosis at 96 weeks. Conclusion:In CHB children，antiviral regimen Peg-IFN α-2b combined with NAs was more effective than NAs alone in improving the HBsAg seroclearance rate of CHB，and the effects in female were better than in male. The decline of HBsAg and the fluctuation of ALT in the early treatment period are valid predictors of HBsAg clearance.

Objective To observe the value of multi-task improved nnU-Net model based on enhanced CT for segmenting primary oral cancer and predicting patients'relapse free survival(RFS).Methods Enhanced CT data of 186 cases of primary oral cancer were retrospectively analyzed,and a multi-task improved nnU-Net model was constructed for tumor segmentation and survival prediction tasks.Pre-training of tumor segmentation was completed with nnU-Net as the baseline network,and the accuracy of recognizing and segmenting tumor was improved by enhancing the decoder through the modified skip connection.Then univariable and multivariable regression analyses were used to select clinical features closely associated with RFS.Radiomics and deep learning features were also extracted to construct a survival prediction model,with fine-tuning of the above model.The training set,validation set and test set were divided at a ratio of 7∶2∶1.Dice similarity coefficient(DSC)was used to evaluate the segmentation performance of the modified model,and the consistency index C-index was used to verify the performance of the improved model for predicting RFS.Results DSC of the multi-task improved nnU-Net model(0.78)for segmenting primary oral cancer was superior to that of 3D Inception ResNet(0.65),3D InceptSENet(0.75)and 3D U-Net models(0.69),respectively,its C-index for predicting RFS(0.798)was higher than that of Cox regression model(0.744),ICARE model(0.761),random forest model(0.744),DeepSurv model(0.735),nnU-Net model(0.760)and radiology+nnU-Net model(0.744),respectively.DSC for segmenting primary oral cancer and C-index for predicting RFS of multi-task improved nnU-Net model were both superior to those of simple baseline network(0.653 and 0.649),baseline network+multi-scale convolution fusion(0.755 and 0.752),as well as baseline network combined with clinical features(0.764 and 0.759),radiomics features(0.770 and 0.764)and clinical+radiomics features(0.773 and 0.761),respectively.Conclusion Multi-task improved nnU-Net model could be used to effectively improve the accuracy of tumor segmentation and predicting patients'RFS.