| Autor: |
Hoshino, J, Molnar, MZ, Yamagata, K, Ubara, Y, Takaichi, K, Kovesdy, CP, Kalantar-Zadeh, K |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Zdroj: |
Hoshino, J; Molnar, MZ; Yamagata, K; Ubara, Y; Takaichi, K; Kovesdy, CP; et al.(2013). Developing an HbA1c-based equation to estimate blood glucose in maintenance hemodialysis patients. Diabetes Care, 36(4), 922-927. doi: 10.2337/dc12-1019. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1sp9h1fk |
| DOI: |
10.2337/dc12-1019. |
| Popis: |
OBJECTIVE-Hemoglobin A1c(HbA1c) has been widely used as a clinically important assessment tool for outcome analyses related to glycemic control. However, because of special conditions in dialysis patients, including the uremic milieu, there is no HbA1cblood glucose (BG) equation specific for patients on dialysis. In this study, we sought to develop HbA1c-BG equation models for hemodialysis patients. RESEARCH DESIGN AND METHODS-We examined associations between HbA1cand random serum BG over time in a contemporary cohort of diabetic patients with hemodialysis treated in DaVita dialysis clinics. We identified 11,986 patients (63±12 years old and 49%male) with 69,764 paired measurements of HbA1cand BG over the course of 5 years (2001-2006). Bootstrapping method was used to estimate average BG and corresponding HbA1clevels. The association was adjusted by patient factors using linear regression. RESULTSdLinear regression analyses yielded the following three regression equations: BG = 59.2 + 29.4 × HbA1c2 20.8 × Alb (R2= 0.483); BG = 104.8 + 29.7 × HbA1c2 18.4 × Alb 2 4.7 × Hb (R2= 0.486); and BG = 82.9 + 30.7 × HbA1c2 16.5 × Alb 2 5.4 × Hb + 0.3 × age + race (R2= 0.491). All our models showed stronger association than previous equation models (R2= 0.468 in the Diabetes Control and Complications Trial and A1c-Derived Average Glucose equations). CONCLUSIONS-The association between HbA1cand BG in hemodialysis patients is different than that of patients with normal kidney function. Our analysis suggests that equations including serum albumin or hemoglobin are better for hemodialysis patients. © 2013 by the American Diabetes Association. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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