Cardiovascular Diabetology最新文献

{"title":"Cardiometabolic risk factors and disease trends for atrial fibrillation in individuals with type 1 diabetes: a nationwide registry study.","authors":"Lara El Khalili, Linn El Khalili, Araz Rawshani, Jan Borén, Deepak L Bhatt, Hertzel C Gerstein, Darren K McGuire, Edvin Helleryd, Elmir Omerovic, Björn Eliasson, Truuls Råmunddal, Naveed Sattar, Aidin Rawshani","doi":"10.1186/s12933-024-02561-z","DOIUrl":"10.1186/s12933-024-02561-z","url":null,"abstract":"<p><strong>Objective: </strong>To investigate standardized incidence of atrial fibrillation (AF) in individuals with type 1 diabetes (T1DMM) compared with matched controls from the general population. Additionally, to examine optimal levels- and relative importance of risk factors associated with AF and numbers of risk factors necessary to reduce excess risk in individuals with T1DM.</p><p><strong>Research design and methods: </strong>The study included individuals with T1DM between 2001 and 2019 and matched controls without T1DM. The outcome of interest was the first occurrence of AF. Standardized incidence rates and Cox regression were used for analyzing incidence and risk associations.</p><p><strong>Results: </strong>The study comprises analyses of data from 36,069 persons with T1DM and 165,705 matched controls; average age 34.1; 43.2% women. Incidence rates per 100,000 person years for AF in persons with T1DM declined between 2001 and 2019 from 671 to 494; also in controls from 568 to 317. However, results shows that those without cardiovascular disease at baseline, did not display a similar rate reduction over time. During this period, people with T1DM had a 1.34-fold (95% CI 1.24-1.46) higher adjusted hazard for incident AF than controls when adjusting for sociodemographic factors. This hazard was attenuated to 0.95 (95% CI 0.87-1.03) after also accounting for coronary, cerebrovascular, kidney disease and heart failure; among those with T1DM. In those, with several risk factors at baseline, we observed a hazard ratio from 1.61 (95%, 1.07-2.43), and there was also an indication of clear risk reduction in those with zero risk factors, albeit non-significant (HR 0.60, 95% CI 0.35-1.04). In the T1DM cohort, the first available value of hemoglobin A1c, systolic blood pressure, body mass index and estimated glomerular filtration rate were each independently associated with incident AF and we noticed a clear linear risk increase for several cardiometabolic risk factors.</p><p><strong>Conclusions: </strong>The crude incidence of AF was higher for persons with versus without T1DM, and declined significantly in both groups. Adjusting for data-derived predictors of AF attenuated higher risks, suggesting that the higher AF risk for persons with T1DM is driven by its common comorbidities.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"117"},"PeriodicalIF":8.5,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11905555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143613494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Additive association of blood group A allele with 15 cardiometabolic diseases: a UK Biobank life-course study.","authors":"Ran Zhao, Wenyan Xian, Yihao Ma, Valerio Napolioni, Patrick W C Lau, Xiao-Li Tian, Yann Le Guen, Andre Franke, Jie Huang","doi":"10.1186/s12933-025-02669-w","DOIUrl":"10.1186/s12933-025-02669-w","url":null,"abstract":"<p><strong>Background: </strong>Although existing studies have reported associations between blood group A and cardiometabolic diseases (CMD), most have focused on dominant inheritance models. However, genome-wide association studies have mostly been based on additive genotypes. This study aims to investigate the association between the blood group A allele and 15 CMD using recessive, dominant, and additive models and identify potential mediators.</p><p><strong>Methods: </strong>This study leveraged data from over 320,000 participants with O and A blood groups in the UK Biobank to investigate the association between blood group A allele and 15 major CMD under recessive, dominant, and gene dosage (additive) models. Protein data from nearly 30,000 participants were used to analyze the association between ABO protein levels and CMD. Mediation analysis further explored whether blood cell count traits and blood biochemistry mediate the association between the number of A allele and CMD.</p><p><strong>Results: </strong>The additive model demonstrates a dose-response association of the blood group A allele with venous thromboembolism (VTE), myocardial infarction (MI), ischemic stroke (IS), type 2 diabetes mellitus (T2DM), and heart failure (HF), among others. Each additional A allele increased disease risk, particularly for VTE (HR = 1.273, P[FDR] = 4.43 × 10^-96). ABO protein levels also correlated with five CMD outcomes, particularly VTE and coronary artery disease (CAD). Mediation analyses revealed that blood cell traits (e.g., hemoglobin, hematocrit) and biochemistries (e.g., aspartate aminotransferase to alanine aminotransferase ratio, apolipoprotein B) significantly mediated the associations for specific CMD, suggesting shared biological mechanisms.</p><p><strong>Conclusions: </strong>Our findings reveal that blood group A allele is associated with an increased risk of multiple CMD, particularly under the additive model. Some blood cell count traits and blood biochemistries play significant mediating roles.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"113"},"PeriodicalIF":8.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895148/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impact of insulin resistance trajectories on cardiovascular disease risk using longitudinal targeted maximum likelihood estimation.","authors":"Yaning Feng, Liangying Yin, Haoran Huang, Yongheng Hu, Sitong Lin","doi":"10.1186/s12933-025-02651-6","DOIUrl":"10.1186/s12933-025-02651-6","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular disease (CVD) is closely associated with Insulin Resistance (IR). However, there is limited research on the relationship between trajectories of IR and CVD incidence, considering both time-invariant and time-varying confounders. We employed advanced causal inference methods to evaluate the longitudinal impact of IR trajectories on CVD risk.</p><p><strong>Methods: </strong>The data for this study were extracted from a Chinese nationwide cohort, named China Health and Retirement Longitudinal Study (CHARLS). Triglyceride-glucose (TyG) index and TyG body mass index (BMI) were used as surrogate markers for IR, and their changes were recorded as exposures. Longitudinal targeted maximum likelihood estimation (LTMLE) was used to study how dynamic shifts in IR trajectories (i.e., increase, decrease, etc.) influence long-term CVD risk, adjusting for both time-invariant and time-varying confounders.</p><p><strong>Results: </strong>A total of 3,966 participants were included in the analysis, with 2,152 (54.3%) being female. The average age at baseline was 58.28 years. Over the course of a 7-year follow-up period, 499 (12.6%) participants developed CVD. Four distinct trajectories of TyG index and TyG-BMI were identified: low stable, increasing, decreasing, and high stable. LTMLE analyses revealed individuals in the 'high stable' and 'increasing' groups had a significantly higher risk of developing CVD compared to those in the 'low stable' group, while the 'decreasing' group showed no significant differences. Specifically, when the exposure was set as TyG-BMI, the odds of CVD in the 'high stable' group were 1.694 (95% CI: 1.361-2.108) times higher than in the 'low stable' group. Similar trends were observed across other models, with ORs of 1.708 (95% CI: 1.367-2.134) in Model 2, 1.389 (1.083-1.782) in Model 3, 1.675 (1.185-2.366) in Model 4, and 1.375 (95% CI:1.07 - 1.768) in Model 5. When the exposure was changed to the TyG index, the results remained consistent, with a slightly lower magnitude of the odds ratios.</p><p><strong>Conclusions: </strong>High stable and increasing TyG-BMI and TyG index trajectories were associated with the risk of CVD. TyG-BMI consistently exhibited higher odds ratios (ORs) of CVD risk when comparing with TyG index. Early identification of IR trajectories could provide insights for preventing CVD later in life.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"112"},"PeriodicalIF":8.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895167/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cholesterol, high-density lipoprotein, and glucose index versus triglyceride-glucose index in predicting cardiovascular disease risk: a cohort study.","authors":"Degang Mo, Peng Zhang, Miao Zhang, Hongyan Dai, Jun Guan","doi":"10.1186/s12933-025-02675-y","DOIUrl":"10.1186/s12933-025-02675-y","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular disease (CVD) represents a significant global health challenge, characterized by high incidence rates and substantial morbidity and mortality. A newer index, the Cholesterol, High-Density Lipoprotein, and Glucose (CHG) index, has been proposed as a potential diagnostic tool for metabolic disorders but has not been investigated for its ability to predict CVD risk. This study aims to evaluate the predictive efficacy of the CHG index in comparison to the well-established Triglyceride-Glucose (TyG) index.</p><p><strong>Methods: </strong>In this cohort study, 6249 adults aged 45 and older were recruited from the CHARLS database, with data collected from 2011 to 2020. CVD events were tracked over a nine-year follow-up. The TyG and CHG indices were calculated, and their relationships with CVD risk were assessed using univariate and multivariate Cox regression models. Additionally, restricted cubic spline (RCS) analysis was performed to further explore these associations. Receiver operating characteristic (ROC) analysis was conducted to compare the predictive performance of both indices, and subgroup analysis evaluated their applicability in different populations.</p><p><strong>Results: </strong>Among the 6249 participants, 1667 (26.68%) developed CVD during the nine-year follow-up. In unadjusted Cox regression models, the TyG index had a hazard ratio (HR) of 1.18 (95% confidence interval CI 1.10-1.27, p < 0.001), while the CHG index showed a higher HR of 1.35 (95% CI 1.21-1.51, p < 0.001). In the adjusted models, the relationship still persisted. The RCS models showed that the TyG index exhibited a non-linear relationship with the risk of CVD, while the CHG index demonstrated a positive linear correlation. ROC curve analysis revealed comparable predictive performance for both indices. The subgroup analysis indicated that there was no interaction between the subgroups and the both indices (p for interaction > 0.05).</p><p><strong>Conclusions: </strong>An elevated CHG index is significantly correlated with an increased risk of CVD, demonstrating a linear relationship. Furthermore, it exhibits predictive capabilities comparable to those of the TyG index in assessing CVD risk.</p><p><strong>Trial registration: </strong>Not applicable.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"116"},"PeriodicalIF":8.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895360/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Triglyceride glucose index predicts long-term mortality and major adverse cardiovascular events in patients with type 2 diabetes.","authors":"Matilde Sbriscia, Dalila Colombaretti, Angelica Giuliani, Silvia Di Valerio, Lucia Scisciola, Iryna Rusanova, Anna Rita Bonfigli, Fabiola Olivieri, Jacopo Sabbatinelli","doi":"10.1186/s12933-025-02671-2","DOIUrl":"10.1186/s12933-025-02671-2","url":null,"abstract":"<p><strong>Background: </strong>The triglyceride glucose index (TyG index) is a marker of insulin resistance linked to the incidence of major adverse cardiovascular events (MACE) in diverse populations. However, its long-term prognostic role in type 2 diabetes (T2D) remains underexplored. This study evaluated the predictive value of the TyG index for all-cause mortality and MACE in T2D over a period of more than 15 years.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on a cohort of 568 patients with T2D (median age: 67 years, IQR 61-72 years; 54% males; median disease duration: 14 years, IQR 7-21 years; median HbA1c: 7.3%, IQR 6.6-8.0%) and 376 presumably healthy controls (CTR, median age: 65 years, IQR 60-71 years) followed for a median period of 16.8 (IQR, 13.1-16.8) years. Routine biomarkers were measured on serum samples using commercially available methods. One-way ANOVA/ANCOVA, logistic regression, and Spearman's correlations were used to compare the TyG index among groups and to assess its correlations with biochemical variables. The association between TyG index and the follow-up endpoints was investigated by Kaplan-Meier curves and Cox proportional hazards analysis.</p><p><strong>Results: </strong>Patients with T2D exhibited higher TyG Index values compared to CTR, with significant correlations between the TyG Index and markers of obesity, glucose metabolism, inflammation, and liver function. Patients with preexisting diabetic kidney disease (DKD) or atherosclerotic vascular disease had higher baseline values of TyG index. Sex-specific differences were observed among CTR but not in T2D patients. The TyG Index was predictive of all-cause mortality (HR = 1.39, 95% CI 1.07-1.79) and associated with the onset of complications MACE, DKD, and neuropathy independent of other conventional predictors. Age modified the TyG Index-mortality association, with the strongest effect in individuals aged 57-74.</p><p><strong>Conclusion: </strong>The TyG index is a valuable prognostic marker for long-term risk of all-cause mortality and MACE in patients with T2D, supporting its use in clinical risk stratification.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"115"},"PeriodicalIF":8.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895143/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can cardiovascular health and its modifiable healthy lifestyle offset the increased risk of all-cause and cardiovascular deaths associated with insulin resistance?","authors":"Jiajun Qiu, Jin'e Li, Shan Xu, Haixia Zeng, Yuying Zhang, Shiqi Yang, Lixuan Fang, Jiadian Huang, Hongtao Zhou, Jiaying Feng, Yujie Zhan, Jianping Liu","doi":"10.1186/s12933-025-02674-z","DOIUrl":"10.1186/s12933-025-02674-z","url":null,"abstract":"<p><strong>Background: </strong>Insulin resistance(IR) is associated with an increased risk of all-cause and cardiovascular death, and modifiable healthy lifestyles play an active role in the improvement of IR and the reduction of all-cause and cardiovascular death. Whether cardiovascular health (CVH) and modifiable healthy lifestyles within it can attenuate or even offset the heightened perils of both all-cause and cardiovascular deaths associated with insulin resistance remains unclear.</p><p><strong>Methods: </strong>The study encompassed 14,172 healthy participants from the 2005-2018 NHANES programme. Insulin resistance was evaluated using the TyG index, TyG-WC, and TyG-WHtR, while CVH was assessed employing the LE8 score, in addition to the LE4 index redefined according to four health behaviours. Weighted multifactor Cox regression models were used to assess the association of IR and CVH with all-cause and cardiovascular mortality, and dose-response relationships were assessed using restricted cubic spline. Furthermore, subjects were grouped according to IR and CVH scores, and generalised linear models were used to estimate the weighted mortality and risk of death for each group and to calculate the absolute risk difference. Finally, the predicted probability of all-cause and cardiovascular mortality risk as a function of IR was computed, and the complex relationship between the three was visualised using two-dimensional grouped scatter plots and three-dimensional surface plots.</p><p><strong>Results: </strong>Among the 14,172 healthy participants included in the study, 1534 deaths occurred over a mean follow-up period of 7.6 years (382 of these deaths were due to cardiovascular causes). The weighted Cox regression analysis indicated that elevated TyG-WC and TyG-WHtR correlated with a greater likelihood of mortality from all causes and cardiovascular events, whereas cardiovascular health was inversely associated with these risks. Additional stratification revealed a notable reduction in the likelihood of mortality from all causes and cardiovascular events as cardiovascular health improved, irrespective of the presence of insulin resistance. Additionally, participants with high insulin resistance but moderate or high cardiovascular health did not have significantly increased risks compared with those with low insulin resistance. Stratified scatter plots and 3D surface plots revealed that cardiovascular health and modifiable healthy lifestyles significantly reduced the risk of insulin resistance-related death, with greater reductions observed at higher insulin resistance levels.</p><p><strong>Conclusions: </strong>In this cohort study, improving cardiovascular health and modifiable health behaviors significantly reduced the risk of insulin resistance-related all-cause and cardiovascular deaths. Maintaining cardiovascular health at moderate or high levels (LE8 ≥ 50) could offset the increased risks caused by insulin resistance.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"114"},"PeriodicalIF":8.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895255/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohorts.","authors":"Huiruo Liu, Liangshan Wang, Hong Wang, Xing Hao, Zhongtao Du, Chenglong Li, Xiaotong Hou","doi":"10.1186/s12933-025-02641-8","DOIUrl":"10.1186/s12933-025-02641-8","url":null,"abstract":"<p><strong>Background: </strong>The triglyceride-glucose (TyG) index, renowned for its efficacy and convenience in assessing insulin resistance, has been validated as a reliable indicator for various cardiovascular conditions. The current study aims for clarifying the link of TyG with the incidences and prognoses of cardiac arrest (CA) following acute myocardial infarction (AMI).</p><p><strong>Methods: </strong>Our analysis is a multicenter, retrospective study utilizing data from the Medical Information Mart for Intensive Care IV and the eICU Collaborative Research Database. Patients with AMI for whom TyG could be calculated within the first 24 h after admission were included. The main endpoints were in-hospital and ICU mortalities. Correlations between TyG and outcomes were evaluated using logistic regression models, restricted cubic splines (RCS), as well as correlation and linear analyses. Overlap weighting (OW), inverse probability of treatment weighting (IPTW), and propensity score matching (PSM) methodologies were utilized to balance the cohorts, thereby minimizing potential biases. Subgroup analyses were performed in accordance with identified modifiers.</p><p><strong>Results: </strong>In total, 5208 individuals diagnosed with AMI, among whom 371 developed CA, were ultimately included. Higher TyG levels were observed among AMI populations with CA compared to those without [9.2 (8.7-9.7) vs. 9.0 (8.5-9.4)], and TyG demonstrated a moderate discriminatory capacity for identifying CA occurrences within entire AMI populations. Multivariate logistic regressions revealed TyG serves a significant risk indicator for both in-hospital (OR 1.711) and ICU mortalities (OR 1.520) in AMI-CA patients, and it is also associated with prolonged LOSs. RCS analyses confirmed linear relationships of ascending TyG with increased mortality risks for AMI-CA (P for nonlinearity: 0.592 and 0.816, respectively), which persisted following PSM, OW, and IPTW adjustments. Subgroup analyses further identified a strong link of the TyG with mortality rates among elders, females, individuals with BMI < 28 kg/m², and those with hypertension.</p><p><strong>Conclusions: </strong>Elevated TyG levels were found to apparently correlate with higher prevalence and adverse outcomes regarding CA in patients with AMI. Our findings point a fresh insight into the significance of the TyG in critically ill coronary conditions.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"108"},"PeriodicalIF":8.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint assessment of abdominal obesity and non-traditional lipid parameters for primary prevention of cardiometabolic multimorbidity: insights from the China health and retirement longitudinal study 2011-2018.","authors":"Hurong Lai, Yansong Tu, Caifeng Liao, Shan Zhang, Ling He, Jian Li","doi":"10.1186/s12933-025-02667-y","DOIUrl":"10.1186/s12933-025-02667-y","url":null,"abstract":"<p><strong>Background: </strong>Obesity and abnormal lipid metabolism increase the risk of various cardiometabolic diseases, including diabetes, heart disease, and stroke. However, the impact of abdominal obesity (AO) and non-traditional lipid parameters on the risk of cardiometabolic multimorbidity (CMM) remains unclear. This study aims to investigate the separate and combined effects of AO and non-traditional lipid parameters on the incidence risk of CMM.</p><p><strong>Methods: </strong>This study enrolled 7,597 eligible participants from the China health and retirement longitudinal study (CHARLS). Cox proportional hazards models were used to perform adjusted regression analyses and mediation analyses, with Kaplan-Meier analysis used for cumulative hazards. Restricted cubic splines were utilized to evaluate the nonlinear relationship between non-traditional lipid parameters and the risk of CMM among participants with AO. Subgroup analyses were conducted with stratification by age, gender, BMI, smoking status, drinking status, and hypertension to investigate interaction effects across different populations. Additionally, sensitivity analyses were further performed to evaluate the impact of various subgroups on diabetes, heart disease, and stroke.</p><p><strong>Results: </strong>During the 7-year follow-up period, a total of 699 participants (9.20%) were newly diagnosed with CMM. Kaplan-Meier curves revealed that the subgroup with both AO and high levels of non-traditional lipid parameters had the highest cumulative hazard for developing CMM. In the fully adjusted model, Cox regression analysis revealed that participants with both high levels of non-traditional lipid parameters and AO exhibited the highest risk of developing CMM. Subgroup and sensitivity analyses further confirmed the robustness of these findings, showing consistent results across different demographic groups and under various analytical conditions. Furthermore, AO was found to significantly mediated the associations between non-traditional lipid parameters and the risk of developing CMM.</p><p><strong>Conclusion: </strong>The separate and combined effects of AO and non-traditional lipid parameters were significantly associated with the risk of developing CMM. Notably, AO may induce CMM by partially mediating the effects of serum lipids in human metabolism. The findings highlighted the importance of joint evaluation of AO and non-traditional lipid parameters for primary prevention of CMM.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"109"},"PeriodicalIF":8.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890515/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential benefits of GLP-1 receptor agonist in dialysis patients with type 2 diabetes: the need for comprehensive pharmacokinetic and hemodialysis analyses.","authors":"Hsuan-Wen Lai, Jui-Yi Chen, Vin-Cent Wu, Chun Yin See","doi":"10.1186/s12933-024-02543-1","DOIUrl":"10.1186/s12933-024-02543-1","url":null,"abstract":"<p><p>The 2022 KDIGO guideline for diabetes management in patients with chronic kidney disease (CKD) had endorsed the use of GLP-1 receptor agonists (GLP-1RAs) for patients with CKD and type 2 diabetes who did not achieve optimal glycemic target with maximally tolerated metformin and sodium-glucose co-transporter-2 (SGLT-2) inhibitor. Our study revealed the potential benefits of GLP-1RAs in patients with dialysis-requiring acute kidney disease possibly owing to pleiotropic effects of the medicine. Nonetheless, pharmacokinetics and dialysis dose were omitted in our subgroup analyses. Herein, we would like to raise our concern regarding neglecting these important confounders in our analyses and the impact to the findings of the study.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"110"},"PeriodicalIF":8.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890503/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143584176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Echocardiographic and biomarker characteristics in diabetes, coronary artery disease or both: insights from HOMAGE trial.","authors":"Luca Monzo, Masatake Kobayashi, João Pedro Ferreira, Zohra Lamiral, Christian Delles, Andrew L Clark, Frank Edelmann, Arantxa González, Stephane Heymans, Pierpaolo Pellicori, Johannes Petutschnigg, Job A J Verdonschot, Patrick Rossignol, John G F Cleland, Faiez Zannad, Nicolas Girerd","doi":"10.1186/s12933-025-02609-8","DOIUrl":"10.1186/s12933-025-02609-8","url":null,"abstract":"<p><strong>Background: </strong>Coronary artery disease (CAD) and diabetes mellitus (DM) can induce changes in myocardial structure and function, thereby increasing the risk of heart failure (HF). We aimed to identify the alterations in echocardiographic variables and circulating biomarkers associated with DM, CAD, or both and to assess the effect of spironolactone on them.</p><p><strong>Methods: </strong>The \"Heart OMics in AGEing\" (HOMAGE) trial evaluated the effect of spironolactone on circulating markers of fibrosis over 9 months of follow-up in people at risk for HF. From the initial population (N = 527) of the HOMAGE trial, a total of 495 participants (mean age 74 years, 25% women) were categorized according to clinical phenotype (DM-/CAD + vs. DM+/CAD- vs. DM+/CAD+), while the DM-/CAD- group was excluded due to the low sample size (N = 32). Multivariable linear regression analysis was used to assess the relations between variables and DM/CAD status.</p><p><strong>Results: </strong>At baseline, participants with DM, whether or not they had CAD, showed lower markers of type I collagen synthesis (procollagen type I C-terminal propeptide; β [95% CI]: DM+/CAD-: -6.973 [-13.778; -0.167]; DM+/CAD+: -9.039 [-15.174; -2.903]), reduced left ventricular volumes (β [95% CI]: end-diastolic, DM+/CAD-: -6.323 [-9.696; -2.951]; DM+/CAD+: -2.503 [-5.531; 0.526]; end-systolic, DM+/CAD-: -2.905 [-4.817; -0.992]; DM+/CAD+: -1.400 [-3.120; 0.320]) and higher levels of galectin-3 (Exponential β [95% CI]: DM+/CAD-: 1.127 [1.050; 1.209]; DM+/CAD+: 1.118 [1.048; 1.192]), and growth differentiation factor-15 (Exponential β [95% CI]: DM+/CAD-: 1.542 [1.360; 1.747]; DM+/CAD+: 1.535 [1.370; 1.720]), along with an elevated E/e' ratio (β [95% CI]: DM+/CAD-: 1.355 [0.462; 2.248]; DM+/CAD+: 0.879 [0.067; 1.690]), compared with DM-/CAD + individuals (all p < 0.05). At follow-up, the effect of spironolactone on echocardiographic variables and circulating biomarkers was not significantly different across DM/CAD phenotypes (all p-interaction > 0.05), except for a more pronounced reduction in GDF-15 in the DM+/CAD + group at the 1-month visit (p-interaction = 0.03).</p><p><strong>Conclusions: </strong>Among HOMAGE trial participants, diabetes was a powerful driver of biomarker and echocardiographic alterations irrespectively of CAD. These alterations were mainly related to the domains of inflammation and diastolic function.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"111"},"PeriodicalIF":8.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}