Frontiers in Cardiovascular Medicine最新文献

{"title":"Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics.","authors":"Weisheng Zhan, Yixin Li, Hui Luo, Jiang He, Jiao Long, Yang Xu, Ying Yang","doi":"10.3389/fcvm.2024.1462566","DOIUrl":"10.3389/fcvm.2024.1462566","url":null,"abstract":"<p><strong>Objective: </strong>To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by coronary computed tomography angiography (CCTA) could discriminate unstable angina (UA) from stable angina (SA).</p><p><strong>Methods: </strong>In this single-center retrospective case-control study, coronary CT images and clinical data from 240 angina patients were collected and analyzed. Patients with unstable angina (<i>n</i> = 120) were well-matched with those having stable angina (<i>n</i> = 120). All patients were randomly divided into training (70%) and testing (30%) datasets. Automatic segmentation was performed on the pericoronary adipose tissue surrounding the proximal segments of the left anterior descending artery (LAD), left circumflex coronary artery (LCX), and right coronary artery (RCA). Corresponding radiomic features were extracted and selected, and the fat attenuation index (FAI) for these three vessels was quantified. Machine learning techniques were employed to construct the FAI and radiomic models. Multivariate logistic regression analysis was used to identify the most relevant clinical features, which were then combined with radiomic features to create clinical and integrated models. The performance of different models was compared in terms of area under the curve (AUC), calibration, clinical utility, and sensitivity.</p><p><strong>Results: </strong>In both training and validation cohorts, the integrated model (AUC = 0.87, 0.74) demonstrated superior discriminatory ability compared to the FAI model (AUC = 0.68, 0.51), clinical feature model (AUC = 0.84, 0.67), and radiomic model (AUC = 0.85, 0.73). The nomogram derived from the combined radiomic and clinical features exhibited excellent performance in diagnosing and predicting unstable angina. Calibration curves showed good fit for all four machine learning models. Decision curve analysis indicated that the integrated model provided better clinical benefit than the other three models.</p><p><strong>Conclusions: </strong>CCTA-based radiomics signature of PCAT is better than the FAI model in identifying unstable angina and stable angina. The integrated model constructed by combining radiomics and clinical features could further improve the diagnosis and differentiation ability of unstable angina.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1462566"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Staged versus immediate complete revascularization for non-culprit arteries in acute myocardial infarction: a post-hoc analysis of FRAME-AMI.","authors":"Yongwhan Lim, Jaehyuk Jang, Seung Hun Lee, Joon Ho Ahn, Young Joon Hong, Youngkeun Ahn, Myung Ho Jeong, Chan Joon Kim, Joo-Yong Hahn, Joo Myung Lee, Keun Ho Park, Eun Ho Choo, Sung Gyun Ahn, Joon-Hyung Doh, Sang Yeub Lee, Sang Don Park, Hyun-Jong Lee, Min Gyu Kang, Yun-Kyeong Cho, Chang Wook Nam, Sung Hyun Bu, Min Chul Kim","doi":"10.3389/fcvm.2024.1475483","DOIUrl":"10.3389/fcvm.2024.1475483","url":null,"abstract":"<p><strong>Background and objectives: </strong>The optimal timing for complete revascularization (CR) in patients with acute myocardial infarction (AMI) and multivessel disease (MVD) remain uncertain.</p><p><strong>Methods: </strong>This post-hoc analysis of the FRAME-AMI trial included AMI patients with MVD (<i>n</i> = 549). They were classified into immediate (<i>n</i> = 329) and staged CR (<i>n</i> = 220) groups. All percutaneous coronary interventions were performed during inex hospitalization. The primary endpoint was a composite of all-cause death, acute myocardial infarction, and repeated revascularization. Secondary endpoints included each component of the primary endpoint. Additional comparisons for the outcomes in ST-segment elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) were also performed.</p><p><strong>Results: </strong>The incidence of the primary endpoint was not significantly different in any of the AMI patients [12.7% [immediate CR] vs. 17.4% [staged CR], <i>p</i> = 0.905, adjusted hazard ratio [HR] of staged CR = 0.81, 95% confidence interval = 0.43-1.53, <i>p</i> = 0.528]. Other secondary endpoints were also not significantly different. Analyses of STEMI and Neither the primary or secondary endpoints of NSTEMI patients were significantly different.</p><p><strong>Conclusions: </strong>In this post-hoc analysis of the FRAME-AMI trial, no significant difference in clinical outcomes was observed between the immediate and staged CR strategies for AMI with MVD and the subgroups, such as STEMI or NSTEMI. However, the results should be interpreted carefully because of the many limitations, including a limited sample size and a lack of statistical power. <b>Trial Registration:</b> FRAME-AMI clinicaltrials.gov, identifier (NCT02715518).</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1475483"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between inflammatory factors and heart failure: evidence based on bidirectional Mendelian randomization analysis.","authors":"Xuanchun Huang, Lanshuo Hu, Jun Li, Shiyi Tao, Tiantian Xue","doi":"10.3389/fcvm.2024.1378327","DOIUrl":"10.3389/fcvm.2024.1378327","url":null,"abstract":"<p><strong>Objective: </strong>Inflammatory factors play a crucial role in the onset and progression of heart failure. To further explore the causal relationship between inflammatory factors and heart failure, we employed bidirectional Mendelian randomization analysis to investigate the causal links between 91 inflammatory cytokines and heart failure.</p><p><strong>Methods: </strong>We conducted our study using the bidirectional Mendelian randomization approach. Data on 91 inflammatory factors were sourced from large-scale public genome-wide association study databases, while heart failure data were obtained from the FINNGEN database. The relationships between inflammatory factors and heart failure were evaluated using five methods: MR-Egger regression model, Inverse Variance Weighted method, Simple mode model, Weighted mode model, and Weighted median. Results were subjected to FDR multiple testing correction, and significant findings were discussed in detail. To enhance the robustness of our findings, various sensitivity analyses were conducted, including MR Egger intercept, MR-PRESSO and Cochran Q test.</p><p><strong>Results: </strong>Our forward Mendelian randomization study indicated that, of the 91 inflammatory factors examined, seven showed a causal relationship with heart failure. Four of these factors were significantly causally related to the incidence of heart failure: CXCL9 and IFN-γ as promotive factors, and LIFR and UPA as potential protective factors. Three inflammatory factors had a potential causal relationship with heart failure, with DNER as a potential protective factor, and MMP-1 and CD6 as potential promotive factors. Reverse Mendelian randomization suggested that the onset of heart failure might potentially influence the levels of four inflammatory factors, with ARTN and FGF5 decreasing after the onset of heart failure, and SLAM and MMP-10 increasing. Additionally, reliability tests of this Mendelian randomization, including MR-Egger intercept and MR-PRESSO tests, revealed no evidence of pleiotropy, and Cochran's Q test also confirmed the reliability of our results.</p><p><strong>Conclusion: </strong>We identified CXCL9, IFN-γ, LIFR, and UPA as potential inflammatory factors associated with heart failure through forward Mendelian randomization. These findings suggest potential targets but require further validation.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1378327"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The causal relationship between 233 metabolites and coronary atherosclerosis: a Mendelian randomization study.","authors":"Hongwei Zhang, Xiaoyu Zheng, Zian Yan, Lijun Guo, Yuan Zheng, Dawu Zhang, Xiaochang Ma","doi":"10.3389/fcvm.2024.1439699","DOIUrl":"10.3389/fcvm.2024.1439699","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the causal relationship between 233 newly reported metabolites and coronary atherosclerosis through Mendelian randomization analysis.</p><p><strong>Methods: </strong>Five different methods were used to perform Mendelian randomization analysis on the 233 metabolites and coronary atherosclerosis, with inverse variance weighting as the primary result, supplemented by other methods.</p><p><strong>Results: </strong>The analysis identified that certain metabolites increase the susceptibility risk of coronary atherosclerosis, including: Total fatty acids (OR = 1.40, 95% CI: 1.28-1.53, <i>P</i> < 0.001), Saturated fatty acids (OR = 1.44, 95% CI: 1.30-1.60, <i>P</i> < 0.001), Serum total triglyceride levels (OR = 1.33, 95% CI: 1.22-1.46, <i>P</i> < 0.001), Conjugated linoleic acid (OR = 1.16, 95% CI: 1.04-1.30, <i>P</i> = 0.007). Conversely, certain metabolites were found to reduce the occurrence of coronary atherosclerosis, such as: Cholesteryl esters to total lipids ratio in medium HDL (OR = 0.73, 95% CI: 0.67-0.78, <i>P</i> < 0.001), Cholesteryl esters to total lipids ratio in large HDL (OR = 0.64, 95% CI: 0.58-0.71, <i>P</i> < 0.001), Total cholesterol to total lipids ratio in medium HDL (OR = 0.71, 95% CI: 0.65-0.77, <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>There is a close relationship between metabolites and the occurrence of coronary atherosclerosis. This study conducted Mendelian randomization analysis on the causal relationship between 233 metabolites and coronary atherosclerosis, providing potential new insights for the treatment of this disease.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1439699"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669696/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in sST2 and NT-proBNP levels predict early cardiac arrhythmia in breast cancer patients treated with anthracycline-containing chemotherapies.","authors":"Cuncun Chen, Hui Zheng, Yanchun Wang, Ying Tong, Heng Zhang, Suhong Xie, Xiaolu Ma, Minglei Jiang, Zhiyun Gong, Tianqing Yan, Yanan Tian, Lin Guo, Renquan Lu","doi":"10.3389/fcvm.2024.1477679","DOIUrl":"10.3389/fcvm.2024.1477679","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular biomarkers are crucial for monitoring cancer therapy-related cardiac toxicity, but the effects on early stage are still inadequate. To screen biomarkers in patients with breast cancer who receive anthracycline-containing chemotherapy, we studied the behavior of six biomarkers during chemotherapy and their association with chemotherapy-related cardiac toxicity.</p><p><strong>Methods: </strong>In a prospective cohort of 73 patients treated with anthracycline-containing chemotherapy, soluble suppression of tumorigenicity 2 (sST2), high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide (NT-proBNP), myoglobin, creatine kinase isoenzyme MB, and heart-fatty acid binding protein were measured at baseline, during chemotherapy cycle (C1-C6). According to whether arrhythmia occurred, patients were divided into two groups (healthy group or arrhythmias group), and basic clinical characteristics were collected and compared. Logistic regression analyses and receiver operating characteristic (ROC) curves were conducted to investigate the association between the changes in biomarkers and arrhythmia.</p><p><strong>Results: </strong>sST2 levels increased significantly from baseline to C1 (<i>P</i> < 0.01). NT-proBNP levels decreased from baseline to C1 and C5 (<i>P</i> < 0.01). The logistic regression analysis showed a greater risk of arrhythmia was associated with interval changes in sST2 [odds ratio (OR): 1.27; 95% CI: 1.03-1.56; <i>P</i> = 0.024] and NT-proBNP (OR: 0.83; 95% CI: 0.70-0.98; <i>P</i> = 0.029). The ROC curves showed that ΔsST2, ΔNT-proBNP, and ΔsST2 + ΔNT-proBNP had good predictive value for arrhythmia (areas under the curves were 0.631, 0.633, and 0.735, respectively, <i>P</i> < 0.05).</p><p><strong>Conclusions: </strong>Early changes in sST2 and NT-proBNP levels offer additive information for early arrhythmia prediction in breast cancer patients who receive anthracycline-containing chemotherapy.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1477679"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669546/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction and validation of coronary heart disease risk prediction model for general hospitals in Tacheng Prefecture, Xinjiang, China.","authors":"Yikang Xu, Jingru Ma, Yang Yang, Limin Liu, Xinran Zhao, Yu Wang, Alimu Mijiti, Qiangru Cheng, Jun Ma","doi":"10.3389/fcvm.2024.1514103","DOIUrl":"10.3389/fcvm.2024.1514103","url":null,"abstract":"<p><strong>Objective: </strong>To analyze the risk factors for coronary heart disease (CHD) in patients hospitalized in general hospitals in the Tacheng Prefecture, Xinjiang, and to construct and verify the nomogram prediction model for the risk of CHD.</p><p><strong>Methods: </strong>From June 2022 to June 2023, 489 CHD patients (CHD group) and 520 non-CHD individuals (control group) in Tacheng, Xinjiang, were retrospectively selected. Using a 7:3 ratio, patients were divided into a training group (706 cases) and a validation group (303 cases). General clinical data were compared, and key variables were screened using logistic regression (AIC). A CHD risk nomogram for Tacheng was constructed. Model performance was assessed using ROC AUC, calibration curves, and DCA.</p><p><strong>Results: </strong>In the training group, non-Han Chinese (OR = 2.93, 95% CI: 2.0-4.3), male (OR = 1.65, 95% CI: 1.0-2.7), alcohol consumption (OR = 1.82, 95% CI: 1.2-2.9), hyperlipidemia (OR = 2.41, 95% CI: 1.7-3.5), smoking (OR = 1.61, 95% CI: 1.0-2.6), diabetes mellitus (OR = 1.62, 95% CI: 1.1-2.4), stroke (OR = 2.39, 95% CI: 1.6-3.7), older age (OR = 1.08, 95% CI: 1.1-1.2), and larger waist circumference (OR = 1.04, 95% CI: 1.0-1.1) were the risk factors for coronary heart disease (all <i>P</i> < 0.05). The area under the curve (AUC) of the work characteristics of the subjects in the training group and the validation group were 0.80 (95% CI: 0.8-0.8) and 0.82 (95% CI: 0.8-0.9), respectively. The Hosmer-Lemeshow test indicated <i>P</i> = 0.325 for the training group and <i>P</i> = 0.130 for the validation group, with calibration curves closely fitting the ideal curve. The predicted values aligned well with actual values, and decision curve analysis results suggest that the model offers a net clinical benefit.</p><p><strong>Conclusion: </strong>The CHD risk prediction model developed in this study for general hospitals in Tacheng Prefecture, Xinjiang, demonstrates strong predictive performance and serves as a simple, user-friendly, cost-effective tool for medical personnel to identify high-risk groups for CHD.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1514103"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11672339/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of transcription factor-lipid droplet-related gene biomarkers for the prognosis of post-acute myocardial infarction-induced heart failure.","authors":"Jianqiao Zhao, Can Guo, Mengyuan Cheng, Jie Li, Yangyang Liu, Huahua Wang, Jianping Shen","doi":"10.3389/fcvm.2024.1429387","DOIUrl":"10.3389/fcvm.2024.1429387","url":null,"abstract":"<p><strong>Introduction: </strong>Patients with acute myocardial infarction (AMI) are at high risk of progressing to heart failure (HF). Recent research has shown that lipid droplet-related genes (LDRGs) play a crucial role in myocardial metabolism following MI, thereby influencing the progression to HF.</p><p><strong>Methods: </strong>Weighted gene co-expression network analysis (WGCNA) and differential expression gene analysis were used to screen a transcriptome dataset of whole blood cells from AMI patients with (AMI HF, <i>n</i> = 16) and without progression (AMI no-HF, <i>n</i> = 16). Functional enrichment analysis were performed to observe the involved function. Machine learning methods were used to screen the genes related to prognosis. Transcriptional factors (TF) were predicted by using relevant databases. ROC curves were drawn to evaluate the TF-LDRG pair in predicting HF in the validation dataset (<i>n</i> = 16) and the clinical trial (<i>n</i> = 13).</p><p><strong>Results: </strong>The 235 identified genes were primarily involved in pathways related to fatty acid and energy metabolism. 22 genes were screened out that they were strongly associated with prognosis. 35 corresponding transcription factors were predicted. The TF-LDRG pair, ABHD5-ARID3a, was demonstrated good predictive accuracy.</p><p><strong>Discussion: </strong>Our findings suggest that ABHD5-ARID3a have significant potential as predictive biomarkers for heart failure post-AMI which also provides a foundation for further exploration into the molecular mechanisms underlying the progression from AMI to HF.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1429387"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between the age of onset of hypertension and chronic kidney disease: a cross-sectional study of the American population.","authors":"Lanlan Qiu, Bo Wu","doi":"10.3389/fcvm.2024.1426953","DOIUrl":"10.3389/fcvm.2024.1426953","url":null,"abstract":"<p><strong>Background: </strong>Hypertension can damage multiple target organs. The younger the age of onset of hypertension is, the greater the risk of cardiovascular disease (CVD) and cardiovascular death. Chronic kidney disease (CKD) is a complication of hypertension, but few studies have investigated the relationship between the age of onset of hypertension and CKD.</p><p><strong>Objective: </strong>We investigated the relationship between the age of onset of hypertension and CKD.</p><p><strong>Method: </strong>We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. A total of 30,613 participants were assigned to one of four groups. Group 1, no hypertension (<i>n</i> = 19,516); Group 2, age of onset <35 years (<i>n</i> = 2,180); Group 3, 35≤ age of onset <45 years (<i>n</i> = 2,128); and Group 4, age of onset ≥45 years (<i>n</i> = 6,789). Logistic regression analysis was used to evaluate the relationship between the age of onset of hypertension and CKD.</p><p><strong>Results: </strong>After adjusting for potential confounders, a younger age at onset of hypertension was associated with a greater risk of developing CKD compared with the absence of hypertension (Group 2 OR: 2.52, 95% CI: 1.53-4.14, <i>P</i> < 0.001; Group 3 OR: 1.59, 95% CI: 1.01-2.51, <i>P</i> = 0.048; Group 4 OR: 1.54, 95% CI: 1.00-2.38, <i>P</i> = 0.050).</p><p><strong>Conclusions: </strong>There was a strong association between the age of onset of hypertension and CKD. The younger the age of onset of hypertension is, the greater the risk of CKD.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1426953"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669582/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elevated systemic immune-inflammatory index predicts poor coronary collateralization in type 2 diabetic patients with chronic total occlusion.","authors":"Lin Shuang Mao, Yi Xuan Wang, Zhi Ming Wu, Feng Hua Ding, Lin Lu, Wei Feng Shen, Yang Dai, Ying Shen","doi":"10.3389/fcvm.2024.1490498","DOIUrl":"10.3389/fcvm.2024.1490498","url":null,"abstract":"<p><strong>Objective: </strong>This study compared the value of different systemic immune-inflammatory markers for evaluating coronary collateralization (CC) in patients with type 2 diabetes mellitus (T2DM) and chronic total occlusion (CTO).</p><p><strong>Methods: </strong>Systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and pan-immune-inflammation value (PIV) were calculated at admission in 1409 T2DM patients with CTO. The degree of coronary collaterals was estimated using the Rentrop scoring system and categorized into poor (Rentrop score 0 or 1) or good (Rentrop score 2 or 3) CC. The predictors of poor CC were determined by multivariate regression analysis, and the diagnostic potential of these indexes was analyzed by Receiver Operating Characteristic (ROC) curves.</p><p><strong>Results: </strong>SII, SIRI and PIV levels increased stepwise across Rentrop score 0-3, with significantly higher levels in patients with poor CC than in those with good CC (<i>P</i> < 0.001). After adjusting for confounders, SII, SIRI and PIV (per tertile) remained independent factors for poor CC. SII predicted poor CC better than SIRI and PIV (AUC: 0.758 vs. 0.680 and 0.698, all <i>P</i> < 0.001). There existed an interaction between blood concentration of HbA1c and SII (<i>P</i> < 0.001), with high SII levels being associated with a greater risk (OR: 5.058 vs. 2.444) and providing a better predictive ability for poor CC (AUC: 0.817 vs. 0.731) in patients with HbA1c < 6.5% compared to those with HbA1c ≥ 6.5%.</p><p><strong>Conclusion: </strong>Our study shows that elevated SII provides a better prediction for poor CC in T2DM patients with CTO especially at good glycemic control.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1490498"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11672344/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: TUM4Health, a holistic student health promotion program. Screening of cardiovascular risk factors in university students.","authors":"Klaus Christian Haggenmüller, Barbara Reiner, Renate Maria Oberhoffer, Nils Olson, Jochen Weil, Thorsten Schulz","doi":"10.3389/fcvm.2024.1540284","DOIUrl":"10.3389/fcvm.2024.1540284","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fcvm.2024.1428457.].</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1540284"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669667/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142893305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}