Cardiovascular Risk Stratification in Patients with Metabolic Syndrome Without Diabetes or Cardiovascular Disease: Usefulness of Metabolic Syndrome Severity Score

Masson, Walter; Epstein, Teo; Huerín, Melina; Lobo, Lorenzo Martín; Molinero, Graciela; Ángel, Adriana; Masson, Gerardo; Millán, Diana; Francesca, Salvador De; Vitagliano, Laura; Cafferata, Alberto; Losada, P

doi:10.1007/s40292-017-0209-0

Cited by 9 publications

(6 citation statements)

References 31 publications

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“…Our findings echo those of Wiley and Carrington (2016), who indicated that the MetSSS can quantify the cumulative amount of risk derived from MetS. In keeping with the research of Gurka et al (2017), we found that the Metabolic Syndrome Severity Calculator showed good predictive power (Masson et al, 2017). Therefore, we recommend that further research use the MetSSS to capture severity.…”

Section: Discussionsupporting

confidence: 90%

“…Other independent variables included demographics, such as age and gender. Comorbidities (Gurka et al, 2017;Masson et al, 2017;Prasad, 2014;Rao, Dai, Lagace, & Krewski, 2014), such as a self-reported presence of diabetes mellitus, hypertension, cardiovascular disease, kidney disease, hyperlipidemia, and stroke, and unhealthy behavior (Slagter et al, 2014), such as smoking, drinking, and betel nut chewing, were considered confounders. The independent variables comprise longitudinal data, except for age stratification and gender.…”

Section: Measurementioning

confidence: 99%

“…The MetS severity Z-score (MetSSS) has been used to predict the risk of diabetes and cardiovascular disease (Gurka et al, 2017;Lee et al, 2016;Masson et al, 2017); however, no longitudinal study has analyzed the relationship between MetS severity and kidney function. Therefore, this study examined the longitudinal association between the MetSSS and kidney function in an urban region in Taiwan.…”

Section: Introductionmentioning

confidence: 99%

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Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study

Chen

Li²,

Chang

et al. 2018

Clin Nurs Res

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The purpose of this study was to explore the relationship between the metabolic syndrome severity Z-score and kidney function by gender. We also examined the estimated glomerular filtration rate in relation to other known risk factors. The study used was a population-based prospective longitudinal research design. A total of 4,838 participants (2,683 females and 2,155 males) included individuals aged >30 years who were undergoing a health examination from 2006 to 2014 in Pingzhen City, Taiwan. In the initial generalized estimated equation model analysis, which included the covariates of age of first visit, period between the first and current visit, and metabolic syndrome severity Z-score, the results indicated that the interaction between age and metabolic syndrome severity Z-score is significantly related to the estimated glomerular filtration rate for males ( p = .040). For females, the interaction between age and metabolic syndrome severity Z-score was not significant, but a higher metabolic syndrome severity Z-score was significantly associated with lower estimated glomerular filtration rate ( p = .001). After controlling for the confounders, unhealthy behaviors, and comorbidities, the metabolic syndrome severity Z-score was still a negative predictor of estimated glomerular filtration rate in both the male ( p = .005) and female ( p = .023) models.

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Section: Discussionsupporting

confidence: 90%

Section: Measurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study

Chen

Li²,

Chang

et al. 2018

Clin Nurs Res

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“…This shortcoming would be tackled by calculating the metabolic syndrome severity score which includes the actual measurements of all five components. The precision of the metabolic syndrome severity score in predicting the risk of health outcomes has been demonstrated by other studies [28,29,30,31,32,33]. Interestingly, investigation on the components of metabolic syndrome in NHANES 2013/2014 demonstrated significant U-shape association of sleep duration and triglyceride levels and reverse U-shape association of sleep duration and HDL cholesterol [34].…”

Section: Discussionmentioning

confidence: 77%

The Association between Sleep Duration and Metabolic Syndrome: The NHANES 2013/2014

2019

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Background: We aimed to assess the association of sleep with metabolic syndrome in the 2013/2014 National Health and Nutrition Examination Survey (NHANES). Methods: Sample size included 2737 out of 2013 and 2014 NHANES surveys. Cross-sectional study of metabolic syndrome and sleep duration was conducted. Metabolic syndrome was defined according to NCEP ATPIII (National Cholesterol Education Program Adult Treatment Panel III) criteria. Metabolic syndrome severity score was calculated based on actual measurement of each component, adjusted for sex and race. The generalized additive model (GAM) was built to assess the smooth relationship between metabolic syndrome/metabolic syndrome severity score and sleep duration. Adjustment of models were done for age, sex, race, and sitting time. The value of effective degree of freedom (EDF) formed by the GAM model shows the degree of curvature of the relationship. A value of 1 for EDF is translated as the linear shape of relationship. Values larger than one denote a more complex relationship between the response variable and the predicting one. Results: There was a U-shaped association between sleep duration and metabolic syndrome in univariable GAM (EDF = 2.43, p = 0.06) and multivariable GAM (EDF = 2.03, p = 0.20). The lowest risk of metabolic syndrome was observed in people sleeping 7 hours/night. There was a significant U-shaped association between sleep duration and metabolic syndrome severity score in multivariable GAM (EDF = 2.94, p = 0.0004). Similarly, the lowest mean metabolic syndrome severity score was observed in people sleeping 7 hours/night. There was an effect modification of sex and sleep duration indicating strong U-shaped relationship of metabolic syndrome severity score and sleep duration in women (EDF = 3.43, p = 0.00002) and semi-linear association in men (EDF = 1.76, p = 0.04). Conclusion: Short and long sleep duration was associated with higher risk of metabolic syndrome and higher scores of metabolic syndrome severity score in women. Short sleep duration was associated with higher risk of metabolic syndrome and higher scores of metabolic syndrome severity score in men.

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“…Previous studies reported that the distribution of visceral fat is a major risk factor for cardiovascular diseases (CVD) 1 and chronic kidney disease (CKD) 2 also obesity by itself is considered an independent risk factor for the development of the CKD 3,4 . Furthermore, metabolic syndrome is also related with at increased risk of morbidity and mortality associated with the CVD and the development of the CKD 5 .…”

Section: Introductionmentioning

confidence: 99%

Pioglitazone Reduces Oxidative Stress in Kidney Against High Sucrose Diet-Induced Metabolic Syndrome in Rats

Kara¹

2018

Kafkas J Med Sci

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Aim: The metabolic syndrome (MS) is an important risk factor for the development of chronic kidney disease. Thiazolidinediones (TZDs) provide renovascular protection, probably in the MS. However, reports about the effect of pioglitazone on renal oxidative stress in high sucrose diet-induced MS remains to be determined. The aim of this study was to assess the effects of pioglitazone on oxidative stress markers in kidney tissues of MS rats. Material and Method: Male Wistar rats (200-250 g in weight) were used in present study. They were divided as control (Con) group, MS group (receiving 935 mM sucrose in drinking water) and pioglitazone treated MS group (MSP) received pioglitazone treatment (30 mg/kg/day, via gavage) for two weeks at the end of the 18th weeks of MS group. Aspartate aminotransferase (AST), lactate dehydrogenase (LDH), total oxidant status (TOS), and total antioxidant status (TAS) levels were measured using commercial kits. Thiobarbituric acid reactive substances (TBARS), reduced glutathione (GSH), urea, uric acid and creatinine were measured. Thioredoxin 1 (TRX1) level was measured in cytosol and membrane tissues by western blot. TRX1 activity was measured in cytosol and membrane tissues using commercial kit. Results: Compared with control rats, the sucrose-fed rats exhibited several characteristics of MS, including central obesity, insulin resistance, hyperinsulinemia, and hypertriglyceridemia. Furthermore, changed levels of AST, LDH, TOS, TAS, TBARS, GSH, urea, uric acid, creatinine and TRX1 activity and protein levels in the MS group were reversed to control levels by administration of pioglitazone. Conclusion: Pioglitazone reduced the elevated oxidative stress in kidney of MS rats.

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Cardiovascular Risk Stratification in Patients with Metabolic Syndrome Without Diabetes or Cardiovascular Disease: Usefulness of Metabolic Syndrome Severity Score

Abstract: In this population, the calculated cardiovascular risk was heterogenic. The prevalence of carotid plaque was high. The Metabolic Syndrome Severity Calculator showed a good predictive power to detect carotid plaque.

Cited by 9 publications

References 31 publications

Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study

Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study

The Association between Sleep Duration and Metabolic Syndrome: The NHANES 2013/2014

Pioglitazone Reduces Oxidative Stress in Kidney Against High Sucrose Diet-Induced Metabolic Syndrome in Rats

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