Objective To investigate the relationship of TyG index and IC.Methods A cross-sectional study was conducted with 1000 older adults living in Wanshou Road Community from May to December 2023.Finally 820 participants were enrolled,and based on the TyG index,they were divided into lower TyG index group(≤7.349,404 cases)and higher TyG index group(＞7.349,416 cases).After PSM,there were only 522 participants subjected,including 261 individuals in the lower TyG index group 1 (≤7.349)and 416 ones in the higher TyG index group 2(＞7.349).Univariate and multivariate logistic regression analyses were used to assess the correlation between IC and the TyG index as both continuous and categorical variables.PSM was employed to eliminate the confounding effects of covariates to identify the relationship between TyG index and IC in different categories.Results Before PSM,the neutrophil count,WBC count,and Hcy,FPG,TC,TG and HbA1c levels were significantly lower,and lymphocyte count,monocyte count,and AST level were obviously higher in the low TyG index group than the high TyG index group(P＜0.05,P＜0.01).After PSM,the low TyG index group still had notably lower FPG,TG and HbA1c than the high TyG index group(P＜0.05,P＜0.01).ROC curve analysis revealed that the cutoff value of TyG index was 7.349.Taking 7.349 as the cutoff value and TyG index as the cate-gorical variable,multivariate logistic regression analysis displayed that TyG index was correlated with IC[OR=3.921,95％CI:2.800-5.491,P=0.001(Model 1);OR=2.744,95％CI:1.739-4.329,P=0.001(Model 2);OR=2.744,95％CI:1.805-4.171,P=0.001(Model 3);OR=2.722,95％CI:1.530-4.843,P=0.001(after PSM)],indicating that TyG index remains an independent risk factor for IC.Conclusion IC is still correlated with TyG index in community-dwelling elderly individuals under different baseline conditions after adjusting for relevant laboratory indicators.As an indicator generated from routine blood test,TyG index has advantages in terms of cost and time.With further validation,TyG may provide a direction for studying IC prediction.

Objective:To develop a nomogram model utilizing serological indicators for predicting in-hospital major adverse cardiovascular events(MACE)in elderly patients diagnosed with acute coronary syndrome(ACS).Methods:This study involved a retrospective analysis of clinical data from 1, 818 elderly patients with ACS who were treated at the First Medical Center of the General Hospital of the People's Liberation Army from January 2022 to May 2024.The patients were randomly assigned to a training set(1, 272 cases)and a validation set(546 cases)in a 7: 3 ratio.Following a comparison of the two groups, the training set was further categorized into non-MACE and MACE groups based on the occurrence of endpoint events.Univariate analysis, Lasso regression, and multivariate logistic regression analyses were sequentially employed to identify factors influencing in-hospital MACE and to construct the nomogram model.The performance of the model was assessed using receiver operating characteristic(ROC)curves, calibration curves, and decision curves.Results:Among the 1, 818 ACS patients, the mean age was 67 years(interquartile range: 61.0 to 73.0), with 70.4% being male.Almost all indicators(except platelet count)exhibited no statistically significant differences between the training and validation sets(all P>0.05).However, statistically significant differences(all P<0.05)were observed in age, body mass index, neutrophil count, lymphocyte count, monocyte count, white blood cell count, hemoglobin, red blood cell distribution width, mean platelet volume, C-reactive protein(CRP), fibrinogen, D-dimer, albumin, direct bilirubin, troponin T(TnT), fasting blood glucose(FBG), estimated glomerular filtration rate(eGFR), uric acid, N-terminal pro-B-type natriuretic peptide(NT-proBNP), glycated hemoglobin(HbA1c), and high-density lipoprotein cholesterol(HDL-C)between the non-MACE and MACE groups in the training set.Ultimately, seven variables—neutrophil count, hemoglobin, red blood cell distribution width, CRP, TnT, FBG, and NT-proBNP—were selected to construct the nomogram model.The model demonstrated high discrimination in both the training and validation sets, with an area under the curve of 0.86(95% CI: 0.82-0.90)for the training set and 0.85(95% CI: 0.81-0.90)for the validation set.Furthermore, the calibration curves for both cohorts indicated a close agreement between predicted and actual risk estimates, suggesting improved model calibration.Decision curve analysis indicated that the predictive model has notable clinical utility. Conclusions:The constructed nomogram enhances the accuracy of predicting in-hospital MACE in elderly patients with ACS, thereby offering a valuable reference for clinical practice.

OBJECTIVES: To explore the expression profile of circular RNAs (circRNAs) and their potential roles in prognosis and progression of Wilms' tumor (WT). METHODS: Four pairs of WT and adjacent tissues were collected for high-throughput circRNA sequencing to identify the differentially expressed circular RNAs. RT-qPCR was used to verify the expression levels of the top 6 candidate circRNAs in the clinical samples. hsa_circ_0001900 was selected for analysis of its correlation with clinicopathological features and prognosis in 34 patients with WT. Sanger sequencing and RNase R digestion experiments were used to verify the cycling site and structural stability of hsa_circ_0001900 molecule. RESULTS: A total of 23 978 circular RNA molecules were identified in WT tissues by high-throughput circular RNA sequencing, and among them 614 were differentially expressed in WT. hsa_circ_0001900 showed the highest expression level among the differentially expressed circRNAs, which was consistent with the findings in clinical tumor samples and the sequencing results. Correlation analysis showed that hsa_circ_0001900 expression level was positively correlated with WT volume, and the children with high hsa_circ_0001900 expression had a lowered recurrence-free survival rate. The results of Sanger sequencing verified the circular splice site sequence of the molecule, and Rnase R digestion assay confirmed its stable covalent structure. CONCLUSIONS This study presents a comprehensive expression profile of circular RNAs in WT, and the expression level of hsa_circ_0001900 is related to the size of WT and the patients' prognosis, suggesting its possible role as a key driving gene in WT progression.
Humans ; RNA, Circular ; Wilms Tumor/pathology* ; Prognosis ; High-Throughput Nucleotide Sequencing ; Kidney Neoplasms/genetics* ; Sequence Analysis, RNA ; Male ; Female

Objective To explore the correlation between triglyceride glucose(TyG)index and per-cutaneous coronary intervention(PCI)following drug treatment in elderly patients with unstable angina pectoris(UAP).Methods A total of 221 elderly UAP patients admitted to the Hyperbaric Oxygen Department of the First Medical Center of Chinese PLA General Hospital from March 2016 to March 2024 were enrolled,and based on the tertiles of the TyG index,they were divided into low,medium and high TyG index groups(the index:≤8.48,8.49-8.92,＞8.92;with 74,74 and 73 cases,respectively).Clinical data of all patients were collected,and whether undergoing PCI after discharge was defined as the endpoint event.The follow-up ended on May 10,2024.The clini-cal data were compared in the three groups.Kaplan-Meier survival curves were plotted to compare the survival rates among the groups,and Cox proportional hazards regression model was em-ployed to analyze the influencing factors for occurrence of endpoint event.Results There were significant differences in the three groups in terms of TyG index,BMI,diabetes,FPG,TC,TG,LDL-C,HDL-C,HbA1c,NT-proBNP,and incidence of endpoint event(P＜0.05,P＜0.01).Univa-riate Cox proportional hazards regression analysis showed that the TyG index,diabetes,and HbA1c were risk factors for endpoint events in elderly patients with UAP(HR=2.523,95％CI:1.593-3.996;HR=2.543,95％CI:1.263-5.118;HR=1.434,95％CI:1.159-1.774).Further multivariate Cox proportional hazards regression analysis showed that,after adjusting for diabetes and HbA1c,the TyG index was an independent risk factor for PCI after discharge in UAP patients(HR=2.023,95％CI:1.209-3.384).Conclusion In elderly UAP patients receiving drug treat-ment,a high TyG index is positively correlated with undergoing PCI after discharge,and the index is an independent risk factor for PCI in them.

Purpose To evaluate the diagnostic accuracy of low-iodine contrast subtraction CT pulmonary angiography(CTPA)combined with iodine maps for acute pulmonary embolism(APE),with a focus on detecting subsegmental emboli.Materials and Methods A retrospective analysis included 48 patients with suspected APE who underwent both pulmonary ventilation/perfusion SPECT/CT and low-iodine subtraction CTPA within one week in Beijing Hospital from September 1,2021 to September 1,2024.Using SPECT/CT as the reference standard,the diagnostic performance of subtraction CTPA with iodine maps was assessed.A retrospective review was performed to identify potential causes of false-positive and false-negative results.Results Subtraction CTPA with iodine maps demonstrated high diagnostic accuracy at the segmental and subsegmental pulmonary artery levels,with a sensitivity of 0.917 and specificity of 0.991.At the segmental level,the detection rate was 100%,while at the subsegmental level,it was 66.7%.The method showed consistently high diagnostic performance(83.3%-100%)across different clinical risk stratifications of APE.Retrospective review identified explicable causes for 85.7%(6/7)of false-positive and 33.3%(2/6)of false-negative cases.Conclusion Low-iodine subtraction CTPA combined with iodine maps exhibits robust diagnostic efficacy for APE.Accurate recognition of characteristic perfusion defects on iodine maps may further enhance diagnostic precision.

Objective To investigate the relationship of TyG index and IC.Methods A cross-sectional study was conducted with 1000 older adults living in Wanshou Road Community from May to December 2023.Finally 820 participants were enrolled,and based on the TyG index,they were divided into lower TyG index group(≤7.349,404 cases)and higher TyG index group(＞7.349,416 cases).After PSM,there were only 522 participants subjected,including 261 individuals in the lower TyG index group 1 (≤7.349)and 416 ones in the higher TyG index group 2(＞7.349).Univariate and multivariate logistic regression analyses were used to assess the correlation between IC and the TyG index as both continuous and categorical variables.PSM was employed to eliminate the confounding effects of covariates to identify the relationship between TyG index and IC in different categories.Results Before PSM,the neutrophil count,WBC count,and Hcy,FPG,TC,TG and HbA1c levels were significantly lower,and lymphocyte count,monocyte count,and AST level were obviously higher in the low TyG index group than the high TyG index group(P＜0.05,P＜0.01).After PSM,the low TyG index group still had notably lower FPG,TG and HbA1c than the high TyG index group(P＜0.05,P＜0.01).ROC curve analysis revealed that the cutoff value of TyG index was 7.349.Taking 7.349 as the cutoff value and TyG index as the cate-gorical variable,multivariate logistic regression analysis displayed that TyG index was correlated with IC[OR=3.921,95％CI:2.800-5.491,P=0.001(Model 1);OR=2.744,95％CI:1.739-4.329,P=0.001(Model 2);OR=2.744,95％CI:1.805-4.171,P=0.001(Model 3);OR=2.722,95％CI:1.530-4.843,P=0.001(after PSM)],indicating that TyG index remains an independent risk factor for IC.Conclusion IC is still correlated with TyG index in community-dwelling elderly individuals under different baseline conditions after adjusting for relevant laboratory indicators.As an indicator generated from routine blood test,TyG index has advantages in terms of cost and time.With further validation,TyG may provide a direction for studying IC prediction.

Purpose To evaluate the diagnostic accuracy of low-iodine contrast subtraction CT pulmonary angiography(CTPA)combined with iodine maps for acute pulmonary embolism(APE),with a focus on detecting subsegmental emboli.Materials and Methods A retrospective analysis included 48 patients with suspected APE who underwent both pulmonary ventilation/perfusion SPECT/CT and low-iodine subtraction CTPA within one week in Beijing Hospital from September 1,2021 to September 1,2024.Using SPECT/CT as the reference standard,the diagnostic performance of subtraction CTPA with iodine maps was assessed.A retrospective review was performed to identify potential causes of false-positive and false-negative results.Results Subtraction CTPA with iodine maps demonstrated high diagnostic accuracy at the segmental and subsegmental pulmonary artery levels,with a sensitivity of 0.917 and specificity of 0.991.At the segmental level,the detection rate was 100%,while at the subsegmental level,it was 66.7%.The method showed consistently high diagnostic performance(83.3%-100%)across different clinical risk stratifications of APE.Retrospective review identified explicable causes for 85.7%(6/7)of false-positive and 33.3%(2/6)of false-negative cases.Conclusion Low-iodine subtraction CTPA combined with iodine maps exhibits robust diagnostic efficacy for APE.Accurate recognition of characteristic perfusion defects on iodine maps may further enhance diagnostic precision.

Objective To explore the correlation between triglyceride glucose(TyG)index and per-cutaneous coronary intervention(PCI)following drug treatment in elderly patients with unstable angina pectoris(UAP).Methods A total of 221 elderly UAP patients admitted to the Hyperbaric Oxygen Department of the First Medical Center of Chinese PLA General Hospital from March 2016 to March 2024 were enrolled,and based on the tertiles of the TyG index,they were divided into low,medium and high TyG index groups(the index:≤8.48,8.49-8.92,＞8.92;with 74,74 and 73 cases,respectively).Clinical data of all patients were collected,and whether undergoing PCI after discharge was defined as the endpoint event.The follow-up ended on May 10,2024.The clini-cal data were compared in the three groups.Kaplan-Meier survival curves were plotted to compare the survival rates among the groups,and Cox proportional hazards regression model was em-ployed to analyze the influencing factors for occurrence of endpoint event.Results There were significant differences in the three groups in terms of TyG index,BMI,diabetes,FPG,TC,TG,LDL-C,HDL-C,HbA1c,NT-proBNP,and incidence of endpoint event(P＜0.05,P＜0.01).Univa-riate Cox proportional hazards regression analysis showed that the TyG index,diabetes,and HbA1c were risk factors for endpoint events in elderly patients with UAP(HR=2.523,95％CI:1.593-3.996;HR=2.543,95％CI:1.263-5.118;HR=1.434,95％CI:1.159-1.774).Further multivariate Cox proportional hazards regression analysis showed that,after adjusting for diabetes and HbA1c,the TyG index was an independent risk factor for PCI after discharge in UAP patients(HR=2.023,95％CI:1.209-3.384).Conclusion In elderly UAP patients receiving drug treat-ment,a high TyG index is positively correlated with undergoing PCI after discharge,and the index is an independent risk factor for PCI in them.

Objective:To develop a nomogram model utilizing serological indicators for predicting in-hospital major adverse cardiovascular events(MACE)in elderly patients diagnosed with acute coronary syndrome(ACS).Methods:This study involved a retrospective analysis of clinical data from 1, 818 elderly patients with ACS who were treated at the First Medical Center of the General Hospital of the People's Liberation Army from January 2022 to May 2024.The patients were randomly assigned to a training set(1, 272 cases)and a validation set(546 cases)in a 7: 3 ratio.Following a comparison of the two groups, the training set was further categorized into non-MACE and MACE groups based on the occurrence of endpoint events.Univariate analysis, Lasso regression, and multivariate logistic regression analyses were sequentially employed to identify factors influencing in-hospital MACE and to construct the nomogram model.The performance of the model was assessed using receiver operating characteristic(ROC)curves, calibration curves, and decision curves.Results:Among the 1, 818 ACS patients, the mean age was 67 years(interquartile range: 61.0 to 73.0), with 70.4% being male.Almost all indicators(except platelet count)exhibited no statistically significant differences between the training and validation sets(all P>0.05).However, statistically significant differences(all P<0.05)were observed in age, body mass index, neutrophil count, lymphocyte count, monocyte count, white blood cell count, hemoglobin, red blood cell distribution width, mean platelet volume, C-reactive protein(CRP), fibrinogen, D-dimer, albumin, direct bilirubin, troponin T(TnT), fasting blood glucose(FBG), estimated glomerular filtration rate(eGFR), uric acid, N-terminal pro-B-type natriuretic peptide(NT-proBNP), glycated hemoglobin(HbA1c), and high-density lipoprotein cholesterol(HDL-C)between the non-MACE and MACE groups in the training set.Ultimately, seven variables—neutrophil count, hemoglobin, red blood cell distribution width, CRP, TnT, FBG, and NT-proBNP—were selected to construct the nomogram model.The model demonstrated high discrimination in both the training and validation sets, with an area under the curve of 0.86(95% CI: 0.82-0.90)for the training set and 0.85(95% CI: 0.81-0.90)for the validation set.Furthermore, the calibration curves for both cohorts indicated a close agreement between predicted and actual risk estimates, suggesting improved model calibration.Decision curve analysis indicated that the predictive model has notable clinical utility. Conclusions:The constructed nomogram enhances the accuracy of predicting in-hospital MACE in elderly patients with ACS, thereby offering a valuable reference for clinical practice.

Objective To identify the key genes differentially expressed in Wilms tumor and analyze their potential impacts on prognosis and immune responses of the patients. Methods High-throughput RNA sequencing was used to identify the differentially expressed mRNAs in clinical samples of Wilms tumor and paired normal tissues, and their biological functions were analyzed using GO, KEGG and GSEA enrichment analyses. The hub genes were identified using STRING database, based on which a prognostic model was constructed using LASSO regression. The mutations of the key hub genes were analyzed and their impacts on immunotherapy efficacy was predicted using the cBioPortal platform. RT-qPCR was used to verify the differential expressions of the key hub genes in Wilms tumor. Results Of the 1612 differentially expressed genes identified in Wilms tumor, 1030 were up-regulated and 582 were down-regulated, involving mainly cell cycle processes and immune responses. Ten hub genes were identified, among which 4 genes (TP53, MED1, CCNB1 and EGF) were closely related to the survival of children with Wilms tumor. A 3-gene prognostic signature was constructed through LASSO regression analysis, and the patients stratified into with high- and low-risk groups based on this signature had significantly different survival outcomes (HR=1.814, log-rank P=0.002). The AUCs of the 3-, 5-and 7-year survival ROC curves of this model were all greater than 0.7. The overall mutations in the key hub genes or the individual mutations in TP53/CCNB1 were strongly correlated with a lower survival rates, and a high TP53 expression was correlated with a poor immunotherapy efficacy. RT-qPCR confirmed that the key hub genes had significant differential expressions in Wilms tumor tissues and cells. Conclusion TP53 gene plays an important role in the Wilms tumor and may potentially serve as a new immunotherapeutic biomarker as well as a therapeutic target.