Serum Gamma-Glutamyltransferase Levels Predict Mortality in Patients With Peritoneal Dialysis
- Author(s)
- Woo-Yeong Park; Su-Hyun Kim; Young Ok Kim; Dong Chan Jin; Ho Chul Song; Euy Jin Choi; Yong Lim Kim; Yon Su Kim; Shin Wook Kang; Nam Ho Kim; Chul Woo Yang; Yong Kyun Kim
- Keimyung Author(s)
- Park, Woo Young
- Department
- Dept. of Internal Medicine (내과학)
- Journal Title
- Medicine
- Issued Date
- 2015
- Volume
- 94
- Issue
- 31
- Abstract
- Serum gamma-glutamyltransferase (GGT) level has been
considered marker of oxidative stress as well as liver function. Serum
GGT level has been reported to be associated with the mortality in
hemodialysis patients. However, it is not well established whether
serum GGT level is associated with all-cause mortality in peritoneal
dialysis (PD) patients. The aim of this study was to determine the
association between serum GGT levels and all-cause mortality in PD
patients.
PD patients were included from the Clinical Research Center
registry for end-stage renal disease cohort, a multicenter prospective
observational cohort study in Korea. Patients were categorized into 3
groups by tertile of serum GGT levels as follows: tertile 1,
GGT<16 IU/L; tertile 2, GGT¼16 to 27 IU/L; and tertile 3,
GGT>27 IU/L. Primary outcome was all-cause mortality.
A total of 820 PD patients were included. The median follow-up
period was 34 months. Kaplan–Meier analysis showed that the all-cause
mortality rate was significantly different according to tertiles of GGT
(P¼0.001, log-rank). The multivariate Cox regression analysis showed
that higher tertiles significantly associated with higher risk for all-cause
mortality (tertile 2: hazard ratio [HR] 2.08, 95% confidence interval
[CI], 1.17–3.72, P¼0.013; tertile 3: HR 1.83, 95% CI, 1.04–3.22,
P¼0.035) in using tertile 1 as the reference group after adjusting for
clinical variables.
Our study demonstrated that high serum GGT levels were an
independent risk factor for all-cause mortality in PD patients. Our
findings suggest that serum GGT levels might be a useful biomarker
to predict all-cause mortality in PD patients.
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