Dataset Information

Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality.

ABSTRACT: Traditional metabolic syndrome (MetS) criteria have several limitations, which hinder its use in clinical practice. To overcome the limitations, we investigated the association between age- and sex-specific continuous MetS severity score (cMetS-S) and cardiovascular disease (CVD) and mortality beyond MetS components in the framework of the Tehran Lipid and Glucose Study. Participants aged 20-60 years at baseline were included in the study. We excluded participants with CVD, cancer, use of corticosteroids, estimated glomerular filtration rate < 30 ml/min/1.73 m², and those who were pregnant. We evaluated the association between cMetS-S with CVD and mortality over 18 years of follow-up among 8500 participants with continuous and quantile approaches using the Cox proportional hazard regression model. In addition, the model performance of cMetS-S for predicting CVD events was compared to the conventional MetS criteria. Participants with higher cMetS-S had a significantly increased risk for CVD, coronary (CHD) and non-coronary heart disease (non-CHD), and all-cause, cardiovascular, and sudden cardiac death. Independent of the confounders and MetS components, the cMetS-S had the HRs of 1.67 (95% CI 1.47-1.89), 1.60 (95% CI 1.37-1.86), and 1.88 (95% CI 1.50, 2.35) for CVD, CHD, and non-CHD events upon 1-SD increment, respectively. The risk of mortality was increased for 1-SD of cMetS-S (all-cause mortality, HR 1.24; 95% CI 1.09-1.41; CVD mortality, HR 1.72; 95% CI 1.20-2.45; sudden cardiac death, HR 1.60; 95% CI 1.03-2.49). The model fitness of cMetS-S was superior to the conventional MetS criteria in predicting CVD and mortality. The cMetS-S provided an additional risk for CVD and mortality beyond the individual MetS components. Standardized cMetS-S could be a potential universal measure to define MetS severity while considering the weighted contribution of MetS components and their variations by age, sex, and ethnicity.

SUBMITTER: Honarvar M

PROVIDER: S-EPMC10480156 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality.

Honarvar Mohammadjavad M Mehran Ladan L Masoumi Safdar S Agahi Sadaf S Khalili Shayesteh S Azizi Fereidoun F Amouzegar Atieh A

Scientific reports 20230905 1

Traditional metabolic syndrome (MetS) criteria have several limitations, which hinder its use in clinical practice. To overcome the limitations, we investigated the association between age- and sex-specific continuous MetS severity score (cMetS-S) and cardiovascular disease (CVD) and mortality beyond MetS components in the framework of the Tehran Lipid and Glucose Study. Participants aged 20-60 years at baseline were included in the study. We excluded participants with CVD, cancer, use of cortic ...[more]

PMID: 37669997

Similar Datasets

Project description:BackgroundThe oxidative balance score (OBS), an encompassing scoring mechanism for assessing oxidative stress, is formulated based on nutritional and lifestyle components. The emergence of metabolic syndrome (MetS) is intricately linked to oxidative stress. Nonetheless, the correlation between OBS and MetS displays variability within distinct cohorts.ObjectiveWe worked on the relationships between OBS and the risk of MetS, MetS severity, and all-cause mortality of MetS patients.MethodsA total of 11,171 adult participants were collected from the U.S. National Health Examination Survey (NHANES) 2007-2018. Employing survey-weighted logistic models, we evaluated the relationship between OBS and MetS risk. Furthermore, survey-weighted linear models were utilized to investigate the connection between OBS and MetS severity. Among the participants, 3,621 individuals had their survival status recorded, allowing us to employ Cox proportional hazards regression models in order to ascertain the association between OBS and the all-cause mortality within the subset of individuals with MetS. The OBS (where a higher OBS signified an increased prevalence of anti- or pro-oxidant exposures) weighed the 20 factors, while the MetS severity score weighed the five factors.ResultsAfter multivariable adjustment, individuals with elevated OBS were found to exhibit a decreased susceptibility to MetS [odds ratio (OR) 0.95; 95% CI 0.94-0.96]. The adjusted OR was 0.42 (95% CI 0.33-0.53) for MetS risk in the fourth OBS quartile compared with those in the first OBS quartile (P for trend < 0.001). A one-unit increase in OBS was linked to a 3% reduction in MetS severity score by 3% (mean difference, -0.03; 95% CI, -0.04 to -0.03). Moreover, increased OBS correlated with decreased hazard of all-cause mortality risk among MetS subjects (adjusted hazard ratio, 0.95; 95% CI, 0.93-0.98). These associations retained their strength even subsequent to the introduction of sensitivity analyses. There existed a statistically significant negative correlation between diet/lifestyle OBS and both MetS risk as well as MetS severity.ConclusionsAn inverse correlation was observed between OBS and the susceptibility to MetS, MetS severity, and all-cause mortality of MetS patients. Health outcomes for MetS patients were positively related to antioxidant diets and lifestyles.

Project description:Aims/hypothesisThe study aimed to assess for an association between the degree of severity of the metabolic syndrome and risk of type 2 diabetes beyond that conferred by the individual components of the metabolic syndrome.MethodsWe assessed HRs for an Adult Treatment Panel III (ATP-III) metabolic syndrome score (ATP-III MetS) and a sex- and race-specific continuous metabolic syndrome severity z score related to incident diabetes over a median of 7.8 years of follow-up among participants of two observational cohorts, the Atherosclerosis Risk in Communities study (n = 10,957) and the Jackson Heart Study (n = 2137).ResultsThe ATP-III MetS had an HR for incident diabetes of 4.36 (95% CI 3.83, 4.97), which was attenuated in models that included the individual metabolic syndrome components. By contrast, participants in the fourth quartile of metabolic syndrome severity (compared with the first quartile) had an HR of 17.4 (95% CI 12.6, 24.1) for future diabetes; in models that also included the individual metabolic syndrome components, this remained significant, with an HR of 3.69 (95% CI 2.42, 5.64). There was a race × metabolic syndrome interaction in these models such that HR was greater for black participants (5.30) than white participants (2.24). When the change in metabolic syndrome severity score was included in the hazard models, this conferred a further association, with changes in metabolic syndrome severity score of ≥0.5 having a HR of 2.66 compared with changes in metabolic syndrome severity score of ≤0.Conclusions/interpretationUse of a continuous sex- and race-specific metabolic syndrome severity z score provided an additional prediction of risk of diabetes beyond that of the individual metabolic syndrome components, suggesting an added risk conferred by the processes underlying the metabolic syndrome. Increases in this score over time were associated with further risk, supporting the potential clinical utility of following metabolic syndrome severity over time.

Project description:BackgroundCardiovascular-kidney-metabolic (CKM) syndrome is characterized as a systemic disease resulting from the pathophysiological interplay among metabolic risk factors, chronic kidney disease (CKD), and cardiovascular disease (CVD). The Klotho protein may serve as a novel biomarker. However, the utility of serum Klotho levels as an indicator of severity and mortality risk in CKM syndrome remains uncertain.MethodsThis study involved 9,871 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2016. Serum Klotho levels were measured using an enzyme-linked immunosorbent assay kit. The optimal cutoff value was established through the maximum Youden's index. Multivariable weighted regression models were employed to calculate the odds ratio and hazard ratio, along with the 95% confidence interval, to evaluate the association between serum Klotho levels and the severity of CKM syndrome, as well as all-cause and cardiovascular mortality. Additionally, the receiver operating characteristic curve and restricted cubic spline curves were utilized to assess predictive efficacy and to explore nonlinear relationships.ResultsAfter adjusting for potential confounding factors, a non-linear relationship was seen between the Klotho protein, and CKM syndrome. In the multivariable, piecewise logistic regression, when the Serum klotho was less than 801, the risk of CKM syndrome decreased with the increase in Serum klotho (OR = 0.82, 95%CI 0.70, 0.96; p < 0.001). Furthermore, we observed the association when the Serum klotho was greater than 801 (OR = 0.94, 95%CI 0.89, 0.99; p = 0.035). The relationship between serum Klotho levels and all-cause mortality was U-shaped, while the relationship with cardiovascular mortality was L-shaped. Specifically, low serum Klotho levels were associated with an increase in all-cause mortality by 21% and cardiovascular mortality by 76% among patients with CKM syndrome. Furthermore, serum Klotho levels demonstrated excellent predictive efficacy for both the severity and mortality associated with CKM syndrome.ConclusionsThis study indicates that low serum Klotho levels serve as reliable indicators of both the severity of CKM syndrome and the associated risk of mortality.

Project description:BackgroundTriglyceride glucose index (TyG) serves as an effective parameter for assessing metabolic status. However, it remains uncertain whether TyG and other metabolic parameters can predict clinical outcomes in people with metabolic syndrome (MetS). We investigated the association of TyG, triglyceride glucose-waist to height ratio (TyG-WHtR), and metabolic score for insulin resistance (METS-IR) with all-cause and cardiovascular mortality in the MetS cohort and determined whether this association changes with age.MethodParticipants enrolled in the National Health and Nutrition Examination Survey (NHANES) between 2001 and 2018 were selected and categorized into two groups: younger individuals (age < 65 years) and older individuals (age ≥ 65 years). Three new metabolic indices of TyG, TyG-WHtR, and METS-IR were constructed. The weighted Cox proportional hazards model and restricted cubic spline (RCS) models were employed to evaluate the relation between three indices and mortality outcomes. The time-dependent receiver operating characteristic (ROC) curve assessed the ability of different indices to predict mortality. Sensitivity analysis was conducted to evaluate the robustness and reliability of the findings.ResultsThe study comprised a total of 8271 participants, including 5456 younger participants and 2815 older participants, and 1407 deaths were observed over a median follow-up period of 8.3 years. Compared with the first quartile (Q1), the fourth quartile's (Q4) TyG, TyG-WHtR, and METS-IR were linked to an increased risk of all-cause mortality (HR 1.63, 95% CI 1.12-2.39; HR 2.78, 95% CI 1.68-4.61; HR 1.36, 95% CI 1.12-2.02, respectively) and cardiovascular mortality (HR 2.04, 95% CI 1.15-4.90; HR 4.99, 95% CI 1.76-14.11; HR 2.69, 95% CI 1.89-8.15, respectively) in the younger group but not in the older group. The RCS results showed no significant non-linear associations between TyG, TyG-WHtR, METS-IR, and all-cause (P = 0.082; P = 0.712; P = 0.062, respectively) or cardiovascular mortality (P = 0.176; P = 0.793; P = 0.482, respectively) in the older age group. TyG-WHtR demonstrated the highest area under the curve for predicting 3-year mortality in the younger age group, with values of 0.653 for all-cause mortality and 0.688 for cardiovascular mortality.ConclusionOur results highlight the predictive value of TyG, TyG-WHtR, and METS-IR in the MetS population, providing new evidence for medical practice and public health.

Dataset Information

Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality.

Publications

Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets