RESUMEN
AIM: To compare anemia prevalence between matched chronic kidney disease (CKD) patients with and without diabetes mellitus (DM) and to assess factors associated with anemia development. METHODS: This is a nested case-control study of 184 type-2 diabetic and 184 non-diabetic CKD patients from a prospectively assembled database of a Nephrology outpatient clinic, matched for gender, age and estimated glomerular filtration rate (eGFR). Prevalence of anemia (hemoglobin: Men: < 13 g/dL, women: < 12 g/dL and/or use of recombinant erythropoietin) was examined in comparison, in the total population and by CKD Stage. Univariate and multivariate logistic regression analyses were conducted to identify factors associated with anemia. RESULTS: The total prevalence of anemia was higher in diabetics (47.8% vs 33.2%, P = 0.004). Accordingly, prevalence was higher in diabetics in CKD Stage 3 (53.5% vs 33.1%, P < 0.001) and particularly in Stage 3a (60.4% vs 26.4%, P < 0.001), whereas it was non-significantly higher in Stage 4 (61.3% vs 48.4%; P = 0.307). Serum ferritin was higher in diabetics in total and in CKD stages, while serum iron was similar between groups. In multivariate analyses, DM (OR = 2.206, 95%CI: 1.196-4.069), CKD Stages 3a, 3b, 4 (Stage 4: OR = 12.169, 95%CI: 3.783-39.147) and serum iron (OR = 0.976, 95%CI: 0.968-0.985 per mg/dL increase) were independently associated with anemia. CONCLUSION: Prevalence of anemia progressively increases with advancing stages of CKD and is higher in diabetic than matched non-diabetic CKD patients and diabetes is independently associated with anemia occurrence. Detection and treatment of anemia in diabetic CKD patients should be performed earlier than non-diabetic counterparts.
RESUMEN
BACKGROUND: Hyperkalemia is a potentially life-threatening disorder, usually complicating chronic kidney disease (CKD). Factors superimposed to reduced renal function are further elevating hyperkalemia risk, but their contribution is not fully elucidated. This study aimed to compare the prevalence of hyperkalemia in diabetic and non-diabetic patients with CKD. METHODS: This is a nested case-control study of 180 type-2 diabetic and 180 non-diabetic patients with CKD followed in a Nephrology outpatient clinic, matched for gender, age and estimated glomerular filtration rate. Type-1 diabetes or end-stage renal disease patients were excluded. Prevalence of hyperkalemia was defined as potassium >5 mEq/l or use of sodium polystyrene sulfonate, and further by potassium >5, ≥5.2 and ≥5.5 mEq/l. It was calculated in both groups in whole and CKD stages separately. Univariate and multivariate logistic regression analysis were conducted to identify factors associated with hyperkalemia. RESULTS: The prevalence of hyperkalemia was higher in diabetic CKD patients (27.2 vs. 20%, p = 0.107) and remained around 30% higher with all secondary definitions used, but never reached statistical significance. In Stage 2, no difference was noted (8.7 vs. 17.4%, p = 0.665); in Stage 3, it was significantly higher in diabetics (28.6 vs. 17.5%, p = 0.036); and in Stage 4, it was equally high in both groups (35.5 vs. 32.3%, p = 0.788). In multivariate analysis, Stage 4 CKD (OR 4.535, 95% CI 1.561-13.173), use of angiotensin-converting enzyme inhibitors (ACEIs; OR 2.228, 95% CI 1.254-3.958) and smoking (OR 2.254, 95% CI 1.218-4.171) were independently associated with hyperkalemia. CONCLUSIONS: Diabetes mellitus was found to elevate the prevalence of hyperkalemia only in CKD Stage 3 patients (moderately impaired renal function). Advanced CKD at Stage 4 and ACEIs are major determinants of hyperkalemia occurrence.
