Takahiro Yajima1, Kumiko Yajima2, Makoto Hayashi2, Keigo Yasuda2, Hiroshi Takahashi3, Noriyoshi Yamakita2. 1. Department of Nephrology, Matsunami General Hospital, Gifu 501-6062, Japan. Electronic address: yajima5639@gmail.com. 2. Department of Internal Medicine, Matsunami General Hospital, Gifu 501-6062, Japan. 3. Division of Medical Statistics, Fujita Health University School of Medicine, Aichi 470-1192, Japan.
Abstract
AIMS: Glycated albumin (GA) is a marker for monitoring glycemic control in diabetic patients with end-stage renal disease (ESRD). We evaluated whether serum albumin-adjusted GA (adjusted GA) could predict mortality in diabetic patients with ESRD on hemodialysis. METHODS: Seventy-eight patients with type 2 diabetes treated with regular hemodialysis were enrolled and followed up for 5-years. The adjusted GA was calculated from the regression formula and mean GA. The cut-off values for GA and adjusted GA that predicted mortality risk were determined using receiver operating characteristic curve analysis. RESULTS: During the follow-up period (median: 36months), 15 patients died. In the Kaplan-Meier analysis, there were no significant differences in the 5-year cumulative survival rate (58.3% [GA ≥19.8%] vs. 88.6% [GA <19.8%], P=0.075). Conversely, this rate was significantly higher in patients with adjusted GA <21.2% than adjusted GA ≥21.2% (86.4 vs. 49.5%, P=0.0068). After adjustment for other confounders, adjusted GA ≥21.2% was an independent predictor for mortality (hazard ratio 3.76, 95% confidence interval 1.12-17.44, P=0.031), but GA ≥19.8% was not (hazard ratio 2.63, 95% confidence interval 0.65-17.69, P=0.19). CONCLUSIONS: Adjusted GA is a better predictor of mortality than GA in diabetic patients with ESRD on hemodialysis.
AIMS: Glycated albumin (GA) is a marker for monitoring glycemic control in diabeticpatients with end-stage renal disease (ESRD). We evaluated whether serum albumin-adjusted GA (adjusted GA) could predict mortality in diabeticpatients with ESRD on hemodialysis. METHODS: Seventy-eight patients with type 2 diabetes treated with regular hemodialysis were enrolled and followed up for 5-years. The adjusted GA was calculated from the regression formula and mean GA. The cut-off values for GA and adjusted GA that predicted mortality risk were determined using receiver operating characteristic curve analysis. RESULTS: During the follow-up period (median: 36months), 15 patients died. In the Kaplan-Meier analysis, there were no significant differences in the 5-year cumulative survival rate (58.3% [GA ≥19.8%] vs. 88.6% [GA <19.8%], P=0.075). Conversely, this rate was significantly higher in patients with adjusted GA <21.2% than adjusted GA ≥21.2% (86.4 vs. 49.5%, P=0.0068). After adjustment for other confounders, adjusted GA ≥21.2% was an independent predictor for mortality (hazard ratio 3.76, 95% confidence interval 1.12-17.44, P=0.031), but GA ≥19.8% was not (hazard ratio 2.63, 95% confidence interval 0.65-17.69, P=0.19). CONCLUSIONS: Adjusted GA is a better predictor of mortality than GA in diabeticpatients with ESRD on hemodialysis.