Prevalence of Metabolic Syndrome Among the End-Stage Renal Disease Patients on Hemodialysis

Alswat, Khaled; Althobaiti, Awwadh; Alsaadi, Khulod; Alkhaldi, Amaal Saeed; Alharthi, Maryam Mutlaq; Abuharba, Walaa Abduraheem; Alzaidi, Ahmed

doi:10.14740/jocmr3064w

Cited by 17 publications

(16 citation statements)

References 15 publications

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“…In this study, we also observed that the definition of MetS was significantly associated with female gender, in agreement with previous studies [ 14 , 34 ]. The reasons for this finding may include a complex of hormonal and socio-cultural interactions that predispose females to demonstrate more MetS components than males.…”

Section: Discussionsupporting

confidence: 93%

“…The presence of MetS showed an odds 5.3-fold (1.6–17.8) higher for the low eGFR in combination with the old age and female gender and a risk 3.2-fold (1.2–8.8) higher for albuminuria in combination with the presence of diabetes mellitus. In agreement, previous studies reported an elevated risk for CKD due to the presence of MetS [ 14 , 15 ].…”

Section: Discussionsupporting

confidence: 92%

“…Indeed, in our data, hypertension was recorded as the main cause of chronic renal disease. Type 2 diabetes mellitus was recorded as the secondary cause in agreement with recent previous study [ 14 ].…”

Section: Discussionsupporting

confidence: 89%

“…Previous observational studies have reported an independent association between MetS and CKD concluding mostly a positive association and less a non-significant correlation [ 10 , 11 ]. It has been supported that patients with MetS have a 1.4, 2.4, or 2.6-fold greater odds of incident CKD (development of an eGFR < 60 mL/min/1.73 m 2 ) [ 12 , 13 , 14 ] than individuals without any MetS components. However, a few studies have been reported to the relationship between MetS and urinary protein excretion [ 10 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

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Metabolic Syndrome and Chronic Renal Disease

Raikou¹,

Gavriil

2018

Diseases

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Background: The influence of metabolic syndrome (MetS) on kidneys is related to many complications. We aimed to assess the association between MetS and chronic renal disease defined by a poor estimated glomerular filtration rate (eGFR) and/or the presence of microalbuminuria/macroalbuminuria. Methods: 149 patients (77 males/72 females) were enrolled in the study. Chronic renal disease was defined according to KDIGO 2012 criteria based on eGFR category and classified albuminuria. MetS was studied as a dichotomous variable (0 to 5 components) including hypertension, waist circumference, low HDL-cholesterol, high triglycerides, and high glucose. Results: The association between clustering MetS and both classified eGFR and classified albuminuria (x2 = 50.3, p = 0.001 and x2 = 26.9, p = 0.003 respectively) was found to be significant. The MetS presence showed an odds 5.3-fold (1.6–17.8) higher for low eGFR and 3.2-fold (1.2–8.8) higher for albuminuria in combination with the presence of diabetes mellitus, which also increased the risk for albuminuria by 3.5-fold (1.1–11.3). Albuminuria was significantly associated with high triglycerides, hypertension, high glucose (x2 = 11.8, p = 0.003, x2 = 11.4, p = 0.003 and x2 = 9.1, p = 0.01 respectively), and it was mildly associated with a low HDL-C (x2 = 5.7, p = 0.06). A significant association between classified eGFR and both high triglycerides and hypertension (x2 = 9.7, p = 0.04 and x2 = 16.1, p = 0.003 respectively) was found. Conclusion: The clustering of MetS was significantly associated with chronic renal disease defined by both classified eGFR and albuminuria. The definition of impaired renal function by classified albuminuria was associated with more MetS components rather than the evaluation of eGFR category. MetS may contribute to the manifestation of albuminuria in patients with diabetes mellitus.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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Metabolic Syndrome and Chronic Renal Disease

Raikou¹,

Gavriil

2018

Diseases

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“…Finally, the logistic regression models were used to examine the association between energy intake and metabolic syndrome in hemodialysis patients, by using newly developed cut-off point and targeted dietary energy intake recommended by NKF-K/DOQI. Since body mass index, hemodialysis vintage, physical activity level, and high sensitive C-reactive protein were reported in number of studies that they associated with metabolic syndrome in hemodialysis patients [ 33 , 39 – 41 ], which can confound the association between energy intake and MetS. Therefore, these factors will be adjusted in the multivariate analysis.…”

Section: Methodsmentioning

confidence: 99%

The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study

et al. 2018

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Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome.

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