The risk of cardiovascular events in individuals with metabolic syndrome (MetS) is higher than in general populations. We aimed at assessing the association between cardiovascular disease (CVD) and MetS and at identifying triple components that are the most predictive of future CVD events. Data on 1387 CVD-free individuals recruited in an ongoing cohort in Isfahan, Iran (ICS) were analyzed. This included serum tests and health and lifestyle questionnaires measured at baseline in 2001, 2007, and 2013. The association between CVD and MetS, irrespective of composing components, was evaluated by using logistic regression. The hazard ratio (HR) of CVD events after MetS diagnosis was calculated for different combinations by using Cox PH regression. The prevalence of MetS was 34.4% at baseline, 19.5% of which was with diabetes. The prevalence of hypertension (blood pressure [BP]) and hyperglycemia (fasting plasma glucose [FPG]) increased over time. Irrespective of composing components, the odds of developing CVD in MetS individuals was higher than in those who did not develop MetS with adjusted odds ratio = 1.76; 95% confidence intervals (CI) = 1.22-2.55. Among the five most prevalent triple combinations, there was a significant association between CVD incidence and high-density lipoprotein + BP + waist circumference combination only with HR = 1.66; 95% CI = 1.04-2.67. Some MetS components are more likely to result in CVD. Identifying the most predictive components could help in the timely initiation of proper interventions rather than waiting for all MetS components or symptoms of CVD.
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http://dx.doi.org/10.1089/met.2018.0136 | DOI Listing |
Rheumatology (Oxford)
January 2025
Department of Gerontology, CR & WISCO General Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Objectives: Although patients with arthritis have significantly increased cardiovascular disease (CVD) risk, effective prediction tools remain limited. This study aimed to evaluate the predictive value of the Metabolic Score for Insulin Resistance (METS-IR) for CVD events among Chinese patients with arthritis.
Methods: Using data from the China Health and Retirement Longitudinal Study (CHARLS), we conducted a 7-year prospective cohort study (2011-2018) involving 1,059 patients with arthritis.
Cardiovasc Diabetol
January 2025
Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan, China.
Background: Insulin resistance (IR) is a central pathophysiological factor in metabolic syndrome (MetS) and an essential driver of cardiovascular disease (CVD) and mortality. The estimated glucose disposal rate (eGDR) is a reliable marker of IR and has been associated with CVD prognosis. This study aims to examine the relationship between eGDR, MetS, and their predictive roles in clinical outcomes.
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January 2025
Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
Background: As an emerging concept, Cardiovascular-kidney-metabolic syndrome (CKM) elucidates the intricate interconnection between metabolic disorders(Mets), cardiovascular disease(CVD), and chronic kidney disease(CKD). Within this context, while numerous studies have demonstrated a correlation between the Atherogenic Index of Plasma (AIP) and CVD, the precise relationship between long-term fluctuations in the AIP and the incidence of CVD in patients with CKM syndrome remains unclear.
Method: The CKM stages 0-3 population was obtained from the China Health and Retirement Longitudinal Study (CHARLS).
Cardiovasc Diabetol
January 2025
Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Background: Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched.
Methods: 10,690 respondents with diabetes and prediabetes from the NHANES 1999-2016 were enrolled in the study.
Diabetol Metab Syndr
January 2025
Department of Endocrinology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang Province, P. R. China.
Background: Estimated glucose disposal rate (eGDR), is an index of insulin resistance. It is intimately correlated with inflammation and endothelial dysfunction, both of which are contributory factors in the pathogenesis of cardiovascular disease (CVD) and premature mortality. This study aims to explore the correlation between eGDR and both all-cause and CVD-related mortality in adults with metabolic syndrome (MetS).
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