Literature DB >> 19270203

Definition of metabolic syndrome in peritoneal dialysis.

Sun-Hee Park1, Bengt Lindholm.   

Abstract

Metabolic syndrome (MetS) is defined as a cluster of risk factors for type 2 diabetes and cardiovascular disease; it is also an independent risk factor for developing chronic kidney disease (CKD) in the general population. Therefore, CKD has many similarities and associations with MetS, and the individual risk factors constituting MetS-especially insulin resistance and glucose intolerance, hypertension, dyslipidemia, and obesity-are also common features of the early stages of CKD. In the later stages of CKD, uremia per se and uremic complications such as fluid retention, protein-energy wasting, inflammation, and oxidative stress further contribute to an increase in the prevalence of MetS in CKD patients. In addition, PD patients exposed to glucose-based PD fluids have an increased risk of developing metabolic complications. The broad use of MetS in clinical research has raised the awareness of the public and of individual patients concerning the value of lifestyle interventions. However, the definition and pathogenesis of MetS are still debated, and no standardized definition nor proven prognostic value has been established for MetS as a cluster of risk factors for diabetes or cardiovascular disease in PD patients. Furthermore, considering the paradoxical associations of some of the risk factors in MetS with decreased mortality, another set of risk factors-those specific to patients with uremia (for example, inflammation and malnutrition)-and the appropriate cut-off levels to individual MetS risk factors should be taken account at the same time. Also, the benefit of interventions targeting these risk factors should be clarified in further clinical studies.

Entities:  

Mesh:

Year:  2009        PMID: 19270203

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  11 in total

1.  Metabolic syndrome in peritoneal dialysis patients: choice of diagnostic criteria and prognostic implications.

Authors:  Cheuk-Chun Szeto; Bonnie Ching-Ha Kwan; Kai-Ming Chow; Chi-Bon Leung; Mei-Shan Cheng; Man-Ching Law; Philip Kam-Tao Li
Journal:  Clin J Am Soc Nephrol       Date:  2014-01-23       Impact factor: 8.237

2.  The metabolic syndrome in patients on peritoneal dialysis: prevalence and influence on cardiovascular morbidity.

Authors:  Senija Rasić; Almira Hadzović-Dzuvo; Damir Rebić; Snezana Uncanin; Azra Hadzić; Aida Mujaković; Indira Kulenović
Journal:  Bosn J Basic Med Sci       Date:  2010-04       Impact factor: 3.363

3.  Glucose-based peritoneal dialysis solution suppresses adiponectin synthesis through oxidative stress in an experimental model of peritoneal dialysis.

Authors:  Joo Young Huh; Eun-Young Seo; Hi Bahl Lee; Hunjoo Ha
Journal:  Perit Dial Int       Date:  2010-08-26       Impact factor: 1.756

4.  Low-Polydispersity Glucose Polymers as Osmotic Agents for Peritoneal Dialysis.

Authors:  John K Leypoldt; Catherine M Hoff; Alp Akonur; Clifford J Holmes
Journal:  Perit Dial Int       Date:  2014-03-01       Impact factor: 1.756

5.  Association of body fat with inflammation in peritoneal dialysis.

Authors:  Andresa Marques de Mattos; Paula Payão Ovidio; Alceu Afonso Jordão; José Abrão Cardeal da Costa; Paula Garcia Chiarello
Journal:  Inflammation       Date:  2013-06       Impact factor: 4.092

6.  Predictive Factors for Coronary Artery Disease among Peritoneal Dialysis Patients without Diabetic Nephropathy.

Authors:  Andreea Andronesi; Luminita Iliuta; Magdalena Patruleasa; Camelia Achim; Gener Ismail; Raluca Bobeica; Elena Rusu; Diana Zilisteanu; Danut Andronesi; Otilia Motoi; Alecse Ditoiu; Ionel Copaci; Mihai Voiculescu
Journal:  Maedica (Buchar)       Date:  2012-09

7.  Measurement and Correlation of Indices of Insulin Resistance in Patients on Peritoneal Dialysis.

Authors:  Kelli R King-Morris; Serpil Muge Deger; Adriana M Hung; Phyllis Ann Egbert; Charles D Ellis; Amy Graves; Ayumi Shintani; T Alp Ikizler
Journal:  Perit Dial Int       Date:  2015-11-02       Impact factor: 1.756

8.  Confounded complexity: vitamin d, parathyroid hormone, and metabolic syndrome in peritoneal dialysis.

Authors:  Timothy Ellam
Journal:  Perit Dial Int       Date:  2014-06       Impact factor: 1.756

9.  Peritoneal dialysis in diabetics: there is room for more.

Authors:  P Cotovio; A Rocha; A Rodrigues
Journal:  Int J Nephrol       Date:  2011-10-16

10.  Metabolic syndrome in end stage renal disease.

Authors:  Mojgan Mortazavi; Shiva Seyrafian; Nafiseh Moein; Diana Taheri; Shahaboddin Dolatkhah
Journal:  J Res Med Sci       Date:  2014-07       Impact factor: 1.852

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