Literature DB >> 25364373

Metabolic syndrome in end stage renal disease.

Mojgan Mortazavi1, Shiva Seyrafian1, Nafiseh Moein2, Diana Taheri3, Shahaboddin Dolatkhah2.   

Abstract

Entities:  

Year:  2014        PMID: 25364373      PMCID: PMC4214032     

Source DB:  PubMed          Journal:  J Res Med Sci        ISSN: 1735-1995            Impact factor:   1.852


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Sir, One of the major causes of mortality in patients with kidney failure requiring dialysis is cardiovascular disease. Metabolic syndrome (MetS) refers to a collection of metabolic disorders that causes systemic inflammation and therefore plays an important role in increasing the incidence of cardiovascular disorders and mortality and morbidity due to it. Metabolic syndrome is present in an individual when three or more criteria of the disorder (abdominal obesity, hypertension, hyperglycemia, hypertriglyceridemia and reduced high density lipoprotein [HDL]) are present.[12] Uremia causes progressive insulin resistance[3] which may aggravate the MetS. We assessed the prevalence of MetS in apteinst with end stage renal disease (ESRD) who were on peritoneal dialysis (PD). Inclusion criteria were; age >20, history of dialysis for >1-month and patient's permission. Blood sampling was done in all patients and triglyceride, cholesterol, HDL, fasting blood glucose, albumin, calcium, phosphorus, hemoglobin and parathyroid hormone (PTH) were analyzed data were analyzed using SPSS-16 (Chicago, IL, USA). A total of 130 individuals were evaluated. 95 (73%) patients in PD group had MetS. The most prevalent metabolic disorder was hypertension (91%). Diabete, hypertriglyceridemia and abdominal obesity was observed in 70%, 65% and 37% respectively. HDL had reduced in 33% of patients. There was no significant difference between durance of renal insufficiency and durance of dialysis comparing patients with MetS and those without MetS (P > 0.05). Serum PTH level, hemoglobin, calcium and phosphorus reveal no differences between MetS patients and non-MetS patients (P > 0.05), however cholesterol, albumin and white blood cells showed differences between mentioned groups (P < 0.05). Albumin level was higher in non-MetS patients but cholesterol and white blood cells had higher level and number in MetS patients. We found the prevalence of MetS in PD patients was 73%. Young et al. showed the prevalence of MetS between dialysis patients was 69.3% which had no significant difference comparing general population.[4] Previous studies demonstrated that MetS is higher in PD.[5] We also found that the presence of MetS in PD is high. It might be due to absorption of PD fluid's glucose and subsequent hyperglycemia in PD patients.[67] Inflammatory markers such as Interleukins were not evaluated in our patients which could be one of our limitations. We suggest further studies in ESRD population patients to assess the risk factors of progression of MetS.
  5 in total

Review 1.  The metabolic syndrome as a risk factor for chronic kidney disease: more than a fat chance?

Authors:  Jeffrey R Schelling; John R Sedor
Journal:  J Am Soc Nephrol       Date:  2004-11       Impact factor: 10.121

2.  Prevalence of the metabolic syndrome in an incident dialysis population.

Authors:  Daniel O Young; Richard J Lund; Gleb Haynatzki; Robert W Dunlay
Journal:  Hemodial Int       Date:  2007-01       Impact factor: 1.812

3.  Frequency of metabolic syndrome among hemodialysis patients according to NCEP-ATP III and IDF definitions.

Authors:  Edip Ucar; Can Huzmeli; Oguz Guven; Nazan Savas; Murat Gullu; Sema Asilyoruk; Ceren Kuvandik; Aysegul Temizkan; Guven Kuvandik
Journal:  Ren Fail       Date:  2009       Impact factor: 2.606

Review 4.  Definition of metabolic syndrome in peritoneal dialysis.

Authors:  Sun-Hee Park; Bengt Lindholm
Journal:  Perit Dial Int       Date:  2009-02       Impact factor: 1.756

5.  Metabolic syndrome in severe chronic kidney disease: Prevalence, predictors, prognostic significance and effects of risk factor modification.

Authors:  David W Johnson; Kirsten Armstrong; Scott B Campbell; David W Mudge; Carmel M Hawley; Jeff S Coombes; Johannes B Prins; Nicole M Isbel
Journal:  Nephrology (Carlton)       Date:  2007-08       Impact factor: 2.506

  5 in total

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