Cardiovascular Diabetology最新文献

{"title":"Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study.","authors":"Katarzyna Nabrdalik, Krzysztof Irlik, Yanda Meng, Hanna Kwiendacz, Julia Piaśnik, Mirela Hendel, Paweł Ignacy, Justyna Kulpa, Kamil Kegler, Mikołaj Herba, Sylwia Boczek, Effendy Bin Hashim, Zhuangzhi Gao, Janusz Gumprecht, Yalin Zheng, Gregory Y H Lip, Uazman Alam","doi":"10.1186/s12933-024-02367-z","DOIUrl":"10.1186/s12933-024-02367-z","url":null,"abstract":"<p><strong>Background: </strong>Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clinical practice, in contrast to fundus retinal imaging which is accessible and routinely performed. Whether artificial intelligence (AI) utilizing retinal images collected through diabetic eye screening can provide an efficient diagnostic method for CAN is unknown.</p><p><strong>Methods: </strong>This was a single center, observational study in a cohort of patients with DM as a part of the Cardiovascular Disease in Patients with Diabetes: The Silesia Diabetes-Heart Project (NCT05626413). To diagnose CAN, we used standard CV autonomic reflex tests. In this analysis we implemented AI-based deep learning techniques with non-mydriatic 5-field color fundus imaging to identify patients with CAN. Two experiments have been developed utilizing Multiple Instance Learning and primarily ResNet 18 as the backbone network. Models underwent training and validation prior to testing on an unseen image set.</p><p><strong>Results: </strong>In an analysis of 2275 retinal images from 229 patients, the ResNet 18 backbone model demonstrated robust diagnostic capabilities in the binary classification of CAN, correctly identifying 93% of CAN cases and 89% of non-CAN cases within the test set. The model achieved an area under the receiver operating characteristic curve (AUCROC) of 0.87 (95% CI 0.74-0.97). For distinguishing between definite or severe stages of CAN (dsCAN), the ResNet 18 model accurately classified 78% of dsCAN cases and 93% of cases without dsCAN, with an AUCROC of 0.94 (95% CI 0.86-1.00). An alternate backbone model, ResWide 50, showed enhanced sensitivity at 89% for dsCAN, but with a marginally lower AUCROC of 0.91 (95% CI 0.73-1.00).</p><p><strong>Conclusions: </strong>AI-based algorithms utilising retinal images can differentiate with high accuracy patients with CAN. AI analysis of fundus images to detect CAN may be implemented in routine clinical practice to identify patients at the highest CV risk.</p><p><strong>Trial registration: </strong>This is a part of the Silesia Diabetes-Heart Project (Clinical-Trials.gov Identifier: NCT05626413).</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11316981/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141911839","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":"The right ventricular dysfunction and ventricular interdependence in patients with T2DM and aortic regurgitation: an assessment using CMR feature tracking.","authors":"Li-Ting Shen, Ke Shi, Zhi-Gang Yang, Ying-Kun Guo, Rui Shi, Yi-Ning Jiang, Wei-Feng Yan, Yuan Li","doi":"10.1186/s12933-024-02372-2","DOIUrl":"10.1186/s12933-024-02372-2","url":null,"abstract":"<p><strong>Background: </strong>Patients with concomitant type 2 diabetes mellitus (T2DM) and aortic regurgitation (AR) can present with right ventricular (RV) dysfunction. The current study aimed to evaluate the impact of AR on RV impairment and the importance of ventricular interdependence using cardiac magnetic resonance feature tracking (CMR‑FT) in patients with T2DM.</p><p><strong>Methods: </strong>This study included 229 patients with T2DM (AR-), 88 patients with T2DM (AR+), and 122 healthy controls. The biventricular global radial strain (GRS), global circumferential strain (GCS), and global longitudinal peak strain (GLS) were calculated with CMR‑FT and compared among the healthy control, T2DM (AR-), and T2DM (AR+) groups. The RV regional strains at the basal, mid, and apical cavities between the T2DM (AR+) group and subgroups with different AR degrees were compared. Backward stepwise multivariate linear regression analyses were performed to determine the effects of AR and left ventricular (LV) strains on RV strains.</p><p><strong>Results: </strong>The RV GLS, LV GRS, LV GCS, LV GLS, interventricular septal (IVS) GRS and IVS GCS were decreased gradually from the controls through the T2DM (AR-) group to the T2DM (AR+) group. The IVS GLS of the T2DM (AR-) and T2DM (AR+) groups was lower than that of the control group. AR was independently associated with LV GRS, LV GCS, LV GLS, RV GCS, and RV GLS. If AR and LV GLSs were included in the regression analyses, AR and LV GLS were independently associated with RV GLS.</p><p><strong>Conclusion: </strong>AR can exacerbate RV dysfunction in patients with T2DM, which may be associated with the superimposed strain injury of the left ventricle and interventricular septum. The RV longitudinal and circumferential strains are important indicators of cardiac injury in T2DM and AR. The unfavorable LV-RV interdependence supports that while focusing on improving LV function, RV dysfunction should be monitored and treated in order to slow the progression of the disease and the onset of adverse outcomes.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11312922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141905927","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":"The impact of diabetes mellitus on cardiac function assessed by magnetic resonance imaging in patients with hypertrophic cardiomyopathy.","authors":"Shi-Qin Yu, Ke Shi, Yuan Li, Jin Wang, Yue Gao, Rui Shi, Wei-Feng Yan, Hua-Yan Xu, Ying-Kun Guo, Zhi-Gang Yang","doi":"10.1186/s12933-024-02384-y","DOIUrl":"10.1186/s12933-024-02384-y","url":null,"abstract":"<p><strong>Background: </strong>The adverse prognostic impact of diabetes on hypertrophic cardiomyopathy (HCM) is poorly understood. We sought to explore the underlying mechanisms in terms of structural and functional remodelling in HCM patients with coexisting diabetes (HCM-DM).</p><p><strong>Methods: </strong>A total of 45 HCM-DM patients were retrospectively included. Isolated HCM controls (HCM patients without diabetes) were matched to HCM-DM patients in terms of maximal wall thickness, age, and gender distribution. Left ventricular (LV) and atrial (LA) performance were evaluated using cardiac magnetic resonance feature tracking strain analyses. The associations between diabetes and LV/LA impairment were investigated by univariable and multivariable linear regression.</p><p><strong>Results: </strong>Compared with the isolated HCM controls, the HCM-DM patients had smaller end-diastolic volume and stroke volume, lower ejection fraction, larger mass/volume ratio and impaired strains in all three directions (all P < 0.05). In terms of the LA parameters, HCM-DM patients presented impaired LA reservoir and conduit strain/strain rate (all P < 0.05). Among all HCM patients, comorbidity with diabetes was independently associated with a low LV ejection fraction (β = - 6.05, P < 0.001) and impaired global longitudinal strain (β = 1.40, P = 0.007). Moreover, compared with the isolated HCM controls, HCM-DM patients presented with more myocardial fibrosis according to late gadolinium enhancement, which was an independent predictor of impaired LV global radial strain (β = - 45.81, P = 0.008), LV global circumferential strain (β = 18.25, P = 0.003), LA reservoir strain (β = - 59.20, P < 0.001) and strain rate (β = - 2.90, P = 0.002).</p><p><strong>Conclusions: </strong>Diabetes has adverse effects on LV and LA function in HCM patients, which may be important contributors to severe manifestations and outcomes in those patients. The present study strengthened the evidence of the prevention and management of diabetes in HCM patients.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141905926","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":"Physical activity modification following a Transient Ischemic Attack in individuals with diabetes.","authors":"Anastasios Mavridis, Tamar Abzhandadze, Adam Viktorisson, Katharina S Sunnerhagen","doi":"10.1186/s12933-024-02382-0","DOIUrl":"10.1186/s12933-024-02382-0","url":null,"abstract":"<p><strong>Background: </strong>Individuals with diabetes exhibit a higher risk of cardiovascular disease and mortality compared to healthy individuals. Following a transient ischemic attack (TIA) the risk of stroke and death increase further. Physical activity engagement after a TIA is an effective way of secondary prevention. However, there's a lack of research on how individuals with diabetes modify physical activity levels and how these adjustments impact survival post-TIA. This study aimed to determine the extent to which individuals with diabetes alter their physical activity levels following a TIA and to assess the impact of these changes on mortality.</p><p><strong>Methods: </strong>This was a nationwide longitudinal study, employing data from national registers in Sweden spanning from 01/01/2003 to 31/12/2019. Data were collected 2 years retro- and prospectively of TIA occurrence, in individuals with diabetes. Individuals were grouped based on decreasing, remaining, or increasing physical activity levels after the TIA. Cox proportional hazards models were fitted to evaluate the adjusted relationship between change in physical activity and all-cause, cardiovascular, and non-cardiovascular mortality.</p><p><strong>Results: </strong>The final study sample consisted of 4.219 individuals (mean age 72.9 years, 59.4% males). Among them, 35.8% decreased, 37.5% kept steady, and 26.8% increased their physical activity after the TIA. A subsequent stroke occurred in 6.7%, 6.4%, and 6.1% of individuals, while death occurred in 6.3%, 7.3%, and 3.7% of individuals, respectively. In adjusted analyses, participants who increased their physical activity had a 45% lower risk for all-cause mortality and a 68% lower risk for cardiovascular mortality, compared to those who decreased their physical activity.</p><p><strong>Conclusions: </strong>Positive change in physical activity following a ΤΙΑ was associated with a reduced risk of mortality. Increased engagement in physical activity should be promoted after TIA, thereby actively supporting individuals with diabetes in achieving improved health outcomes.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901025","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":"Association between the triglyceride glucose-body mass index and future cardiovascular disease risk in a population with Cardiovascular-Kidney-Metabolic syndrome stage 0-3: a nationwide prospective cohort study.","authors":"Weipeng Li, Chaonan Shen, Weiya Kong, Xiaohui Zhou, Huimin Fan, Yuzhen Zhang, Zhongmin Liu, Liang Zheng","doi":"10.1186/s12933-024-02352-6","DOIUrl":"10.1186/s12933-024-02352-6","url":null,"abstract":"<p><strong>Background: </strong>The American Heart Association (AHA) has recently introduced the concept of Cardiovascular-Kidney-Metabolic (CKM) syndrome, which is the result of an increasing emphasis on the interplay of metabolic, renal and cardiovascular diseases (CVD). Furthermore, there is substantial evidence of a correlation between the triglyceride glucose-body mass index (TyG-BMI ) and CVD as an assessment of insulin resistance (IR). However, it remains unknown whether this correlation exists in population with CKM syndrome.</p><p><strong>Methods: </strong>All data for this study were obtained from the China Health and Retirement Longitudinal Study (CHARLS). The exposure was the participants' TyG-BMI at baseline, which was calculated using a combination of triglycerides (TG), fasting blood glucose (FBG) and body mass index (BMI). The primary outcome was CVD, which were determined by the use of a standardised questionnaire during follow-up. To examine the relationship between TyG-BMI and CVD incidence in population with CKM syndrome, both Cox regression analyses and restricted cubic spline (RCS) regression analyses were performed.</p><p><strong>Results: </strong>A total of 7376 participants were included in the final analysis. Of these, 1139, 1515, 1839, and 2883 were in CKM syndrome stages 0, 1, 2, and 3, respectively, at baseline. The gender distribution was 52.62% female, and the mean age was 59.17 ± 9.28 (years). The results of the fully adjusted COX regression analyses indicated that there was a 6.5% increase in the risk of developing CVD for each 10-unit increase in TyG-BMI,95% confidence interval (CI):1.041-1.090. The RCS regression analyses demonstrated a positive linear association between TyG-BMI and the incidence of CVD in the CKM syndrome population (P for overall < 0.001, P for nonlinear = 0.355).</p><p><strong>Conclusions: </strong>This cohort study demonstrated a positive linear association between TyG-BMI index and increased CVD incidence in a population with CKM syndrome stage 0-3. This finding suggests that enhanced assessment of TyG-BMI index may provide a more convenient and effective tool for individuals at risk for CVD in CKM syndrome stage 0-3.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308445/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901022","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":"The effect of non-insulin-based insulin resistance indices on the prediction of recurrence in patients with atrial fibrillation undergoing radiofrequency catheter ablation.","authors":"Yan Luo, Duan Luo, Guoshu Yang, Wenchao Huang, Yan Tang, Bao Xu, Guijun He, Yongxin Yang, Jialing He, Huaxin Sun, Lin Cai, Zhen Zhang, Hanxiong Liu, Shiqiang Xiong","doi":"10.1186/s12933-024-02388-8","DOIUrl":"10.1186/s12933-024-02388-8","url":null,"abstract":"<p><strong>Background: </strong>Atrial fibrillation (AF) is acknowledged as a disease continuum. Despite catheter ablation being recommended as a primary therapy for AF, the high recurrence rates have tempered the initial enthusiasm. Insulin resistance (IR) has been established as an independent predictor for the onset of AF. However, the correlation between non-insulin-based IR indices and late AF recurrence in patients undergoing radiofrequency catheter ablation remains unknown.</p><p><strong>Methods: </strong>A retrospective cohort of 910 AF patients who underwent radiofrequency catheter ablation was included in the analysis. The primary endpoint was late AF recurrence during the follow-up period after a defined blank period. The relationship between non-insulin-based IR indices and the primary endpoint was assessed using multivariate Cox hazards regression models and restricted cubic splines (RCS). Additionally, the net reclassification improvement and integrated discrimination improvement index were calculated to further evaluate the additional predictive value of the four IR indices beyond established risk factors for the primary outcome.</p><p><strong>Results: </strong>During a median follow-up period of 12.00 months, 189 patients (20.77%) experienced late AF recurrence, which was more prevalent among patients with higher levels of IR. The multivariate Cox hazards regression analysis revealed a significant association between these IR indices and late AF recurrence. Among the four indices, METS-IR provided the most significant incremental effect on the basic model for predicting late AF recurrence. Multivariable-adjusted RCS curves illustrated a nonlinear correlation between METS-IR and late AF recurrence. In subgroup analysis, METS-IR exhibited a significant correlation with late AF recurrence in patients with diabetes mellitus (HR: 1.697, 95% CI 1.397 - 2.063, P < 0.001).</p><p><strong>Conclusion: </strong>All the four non-insulin-based IR indices were significantly associated with late AF recurrence in patients undergoing radiofrequency catheter ablation. Addressing IR could potentially serve as a viable strategy for reducing the late AF recurrence rate.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11308207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901027","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":"Association between triglyceride-glucose related indices and all-cause and cause-specific mortality in the general population: a cohort study.","authors":"Shan Li, Li An, Zhiqing Fu, Wei Zhang, Hongbin Liu","doi":"10.1186/s12933-024-02390-0","DOIUrl":"10.1186/s12933-024-02390-0","url":null,"abstract":"<p><strong>Background: </strong>Although triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance and cardiometabolic disease, its effectiveness in predicting mortality risk has not been adequately validated. We aimed to investigate the association between the TyG-related indices and all-cause and cause-specific mortality in the general population.</p><p><strong>Methods: </strong>A total of 27,642 individuals were included from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. Three indicators were constructed, including the TyG index, TyG combined with waist-to-height ratio (TyG-WHtR), and TyG combined with waist circumference (TyG-WC). Mortality data was acquired through the linkage of NHANES data with National Death Index records. Weighted Cox proportional hazards models were used to estimate the independent association between the TyG-related indices and mortality. Nonlinear associations were explored using restricted cubic splines.</p><p><strong>Results: </strong>Multivariable adjusted models showed a progressive increase in all-cause and cause-specific mortality across quartiles of the TyG-related indices. Compared with the lowest quartile of the TyG index, the highest quartile had adjusted hazard ratios of 1.26 (95% CI 1.04-1.52) for all-cause mortality, 1.38 (1.04-1.74) for cardiovascular mortality, and 1.23 (1.01-1.50) for non-cardiovascular mortality, respectively. For the TyG-WHtR index, the corresponding hazard ratios were 1.60 (1.25-2.05), 1.86 (1.26-2.50), and 1.48 (1.10-1.99), respectively. For the TyG-WC index, the corresponding hazard ratios were 1.42 (1.11-1.75), 1.48 (1.04-1.96), and 1.38 (1.05-1.72), respectively. The associations between the three TyG-related indices and all-cause, cardiovascular and non-cardiovascular mortality were J-shaped. Interaction tests revealed significant effect modification by age, low-density lipoprotein cholesterol (LDL-C) level, and statin use (all P values < 0.05).</p><p><strong>Conclusions: </strong>The TyG-related indices were independent predictors of all-cause and cause-specific mortality in the general population. Young individuals should be particularly vigilant, whereas low LDL-C levels and statin use are potentially protective.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304911/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901023","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":"Trends in prognosis and use of SGLT2i and GLP-1 RA in patients with diabetes and coronary artery disease.","authors":"Viveca Ritsinger, Kamila Avander, Bo Lagerqvist, Pia Lundman, Anna Norhammar","doi":"10.1186/s12933-024-02365-1","DOIUrl":"10.1186/s12933-024-02365-1","url":null,"abstract":"<p><strong>Objective: </strong>To explore trends in prognosis and use of glucose-lowering drugs (GLD) in patients with diabetes and coronary artery disease (CAD).</p><p><strong>Research design and methods: </strong>All patients with diabetes and CAD undergoing a coronary angiography between 2010 and 2021 according to the Swedish Angiography and Angioplasty Registry were included. Information on GLD (dispended 6 months before or after coronary angiography) was collected from the Swedish Prescribed Drug Registry. Data on major cardiovascular events (MACE; mortality, myocardial infarction, stroke, heart failure) through December 2021 were obtained from national registries. Cox proportional survival analysis was used to assess outcomes where cardioprotective GLD (any of Sodium Glucose Lowering Transport 2 receptor inhibitors [SGLT2i] and Glucagon Like Peptide Receptor Agonists [GLP-1 RA]) served as a reference.</p><p><strong>Results: </strong>Among all patients (n = 38,671), 31% had stable CAD, and 69% suffered an acute myocardial infarction. Mean age was 69 years, 67% were male, and 81% were on GLD. The use of cardioprotective GLD increased rapidly in recent years (2016-2021; 7-47%) and was more common in younger patients (66 vs. 68 years) and men (72.9% vs. 67.1%) than other GLD. Furthermore, compared with other GLD, the use of cardioprotective GLD was more common in patients with a less frequent history of heart failure (5.0% vs. 6.8%), myocardial infarction (7.7% vs. 10.5%) and chronic kidney disease (3.7% vs. 5.2%). The adjusted hazard ratio (HR) (95% CI) for MACE was greater in patients on other GLD than in those on cardioprotective GLD (1.10; 1.03-1.17, p = 0.004). Trend analyses for the years 2010-2019 revealed improved one-year MACE in patients with diabetes and CAD (year 2019 vs. 2010; 0.90; 0.81-1.00, p = 0.045), while 1-year mortality was unchanged.</p><p><strong>Conclusions: </strong>The prescription pattern of diabetes medication is changing quickly in patients with diabetes and CAD; however, there are worrying signals of inefficient use prioritizing cardioprotective GLD to younger and healthier individuals at lower cardiovascular risk. Despite this, there are improving trends in 1-year morbidity.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901028","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":"Predicting gestational diabetes mellitus risk at 11-13 weeks' gestation: the role of extrachromosomal circular DNA.","authors":"Jin Wang, Pengyu Huang, Fei Hou, Dongdong Hao, Wushan Li, Hua Jin","doi":"10.1186/s12933-024-02381-1","DOIUrl":"10.1186/s12933-024-02381-1","url":null,"abstract":"<p><strong>Background: </strong>Gestational diabetes mellitus (GDM) significantly impacts maternal and infant health both immediately and over the long term, yet effective early diagnostic biomarkers are currently lacking. Thus, it is essential to identify early diagnostic biomarkers for GDM risk screening. Extrachromosomal circular DNA (eccDNA), being more stable than linear DNA and involved in disease pathologies, is a viable biomarker candidate for diverse conditions. In this study, eccDNA biomarkers identified for early diagnosis and assessment of GDM risk were explored.</p><p><strong>Methods: </strong>Using Circle-seq, we identified plasma eccDNA profiles in five pregnant women who later developed GDM and five matched healthy controls at 11-13 weeks of gestation. These profiles were subsequently analyzed through bioinformatics and validated through outward PCR combined with Sanger sequencing. Furthermore, candidate eccDNA was validated by quantitative PCR (qPCR) in a larger cohort of 70 women who developed GDM and 70 normal glucose-tolerant (NGT) subjects. A ROC curve assessed the eccDNA's diagnostic potential for GDM.</p><p><strong>Results: </strong>2217 eccDNAs were differentially detected between future GDM patients and controls, with 1289 increased and 928 decreased in abundance. KEGG analysis linked eccDNA genes mainly to GDM-related pathways such as Rap1, MAPK, and PI3K-Akt, and Insulin resistance, among others. Validation confirmed a significant decrease in eccDNA PRDM16^circle in the plasma of 70 women who developed GDM compared to 70 NGT women, consistent with the eccDNA-seq results. PRDM16^circle showed significant diagnostic value in 11-13 weeks of gestation (AUC = 0.941, p < 0.001).</p><p><strong>Conclusions: </strong>Our study first demonstrats that eccDNAs are aberrantly produced in women who develop GDM, including PRDM16^circle, which can predict GDM at an early stage of pregnancy, indicating its potential as a biomarker.</p><p><strong>Trial registration: </strong>ChiCTR2300075971, http://www.chictr.org.cn . Registered 20 September 2023.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304788/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901026","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":"Effect of rosuvastatin versus atorvastatin on new-onset diabetes mellitus in patients treated with high-intensity statin therapy for coronary artery disease: a post-hoc analysis from the LODESTAR randomized clinical trial.","authors":"Sung-Jin Hong, Yong-Joon Lee, Woong Chol Kang, Bum-Kee Hong, Jong-Young Lee, Jin-Bae Lee, Tae-Hyun Yang, Junghan Yoon, Seung-Jun Lee, Chul-Min Ahn, Jung-Sun Kim, Byeong-Keuk Kim, Young-Guk Ko, Donghoon Choi, Yangsoo Jang, Myeong-Ki Hong","doi":"10.1186/s12933-024-02386-w","DOIUrl":"10.1186/s12933-024-02386-w","url":null,"abstract":"<p><strong>Background: </strong>The impact of rosuvastatin versus atorvastatin on new-onset diabetes mellitus (NODM) among patients treated with high-intensity statin therapy for coronary artery disease (CAD) remains to be clarified. This study aimed to evaluate the risk of NODM in patients with CAD treated with rosuvastatin compared to atorvastatin in the randomized LODESTAR trial.</p><p><strong>Methods: </strong>In the LODESTAR trial, patients with CAD were randomly assigned to receive either rosuvastatin or atorvastatin using a 2-by-2 factorial randomization. In this post-hoc analysis, the 3-year incidence of NODM was compared between rosuvastatin and atorvastatin treatment in the as-treated population with high-intensity statin therapy as the principal population of interest.</p><p><strong>Results: </strong>Among 2932 patients without diabetes mellitus at baseline, 2377 were included in the as-treated population analysis. In the as-treated population with high-intensity statin therapy, the incidence of NODM was not significantly different between the rosuvastatin and atorvastatin groups (11.4% [106/948] versus 8.8% [73/856], hazard ratio [HR] = 1.32, 95% confidence interval [CI] = 0.98 to 1.77, P = 0.071). When the risk of NODM with rosuvastatin versus atorvastatin was assessed according to the achieved low-density lipoprotein cholesterol (LDL-C) level, the risk of NODM began to increase at a LDL-C level below 70 mg/dL. The incidence of NODM was significantly greater in the rosuvastatin group than it was in the atorvastatin group when the achieved LDL-C level was < 70 mg/dL (13.9% versus 8.0%; HR = 1.79, 95% CI 1.18 to 2.73, P = 0.007).</p><p><strong>Conclusions: </strong>Among CAD patients receiving high-intensity statin therapy, the incidence of NODM was not significantly different between rosuvastatin and atorvastatin. However, a drug effect of the statin type on NODM was observed when the achieved LDL-C level was < 70 mg/dL.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov, Identifier: NCT02579499.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304915/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901024","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}