Metabolic syndrome predicts mortality in non-diabetic patients on continuous ambulatory peritoneal dialysis

Jung Tak Park, Tae Ik Chang, Dong Ki Kim, Jung Eun Lee, Hoon Young Choi, Hyun Wook Kim, Jae Hyun Chang, Sun Young Park, Eunyoung Kim, Tae Hyun Yoo, Dae Suk Han, Shin Wook Kang

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22 Citations (Scopus)


Background. Metabolic syndrome is associated with higher morbidity and mortality in the general population, but the corresponding effects in patients on dialysis have not been clearly defined. In this study, we prospectively investigated the effect of metabolic syndrome and its individual components on outcome in non-diabetic peritoneal dialysis (PD) patients.Method. The study subjects included 106 stable non-diabetic PD patients who had been on PD for >3 months. We measured baseline characteristics, blood pressure, fasting blood glucose, lipid profiles and high-sensitivity CRP (hsCRP), and defined metabolic syndrome using the modified National Cholesterol Education Program (Adult Treatment Panel III) criteria. Mortality, technical failure and hospitalization were evaluated during the follow-up period.Results. Metabolic syndrome was present in 50 patients (47.2), and these showed higher baseline hsCRP levels (0.67; 95 CI: 0.50-0.94 versus 1.78 mgdl; 95 CI: 1.21-2.57; P < 0.001). Patients with metabolic syndrome experienced significantly lower 5-year survival rates than patients without (90 versus 67, P = 0.02), although these groups did not differ in peritonitis rates, technical failure or hospitalization. A Cox proportional hazards analysis identified the following as predictors of mortality: metabolic syndrome (RR: 3.39; 95 CI: 1.16-9.94; P = 0.02), baseline albumin (RR: 0.06; 95 CI: 0.01-0.30; P = 0.001) and baseline hsCRP levels (RR: 1.14; 95 CI: 1.07-1.22; P < 0.001).Conclusion. Metabolic syndrome is prevalent and is a risk factor influencing long-term survival in non-diabetic PD patients.

Original languageEnglish
Pages (from-to)599-604
Number of pages6
JournalNephrology Dialysis Transplantation
Issue number2
Publication statusPublished - 2010 Feb

Bibliographical note

Funding Information:
Acknowledgements. This work was supported by the BK21 (Brain Korea 21) Project for Medical Sciences, Yonsei University, the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (R13-2002-054-04001-0), and a grant of the Korea Healthcare Technology R&D Project, Ministry for Health, Welfare & Family Affairs, Republic of Korea (A084001).

All Science Journal Classification (ASJC) codes

  • Nephrology
  • Transplantation


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