Evaluation of Neutrophil/Lymphocyte Ratio, Low-Density Lipoprotein/Albumin Ratio, and Red Cell Distribution Width/Albumin Ratio in the Estimation of Proteinuria in Uncontrolled Diabetic Patients.

Abstract

Introduction Diabetic nephropathy associated with end-stage renal disease (ESRD) is a significant public health problem due to its high morbidity and mortality. We aimed to improve the estimation of proteinuria in diabetic patients and potentially enhance risk stratification and clinical management strategies with the assessment of the correlation of the neutrophil/lymphocyte ratio (NLR), low-density lipoprotein/albumin ratio (LAR), and red cell distribution width/albumin ratio (RAR) with the proteinuria in the uncontrolled diabetes patient population. Methods This was a retrospective study including 327 patients with uncontrolled diabetes (HbA1c > 10%) seen in an outpatient clinic. The study enrolled patients over 18 years old, excluding those with active infections, malignancies, immunodeficiency, hematological diseases, pregnancy, breastfeeding, or type I diabetes. Patients using specific drugs affecting proteinuria or lipid levels were also excluded. Data from patients were retrospectively obtained, including gender, age, blood parameters, glucose, creatinine, albumin, cholesterol, triglyceride, and HbA1c levels, as well as spot urine protein and creatinine levels. Proteinuria was assessed using a spot urine protein/creatinine ratio (>0.30 indicated proteinuria). Patients were divided into two groups: group 1 (non-proteinuric with uncontrolled diabetes) and group 2 (proteinuric with uncontrolled diabetes). Demographics, laboratory results, and LAR, NLR, and RAR values were compared between the groups with univariate and multivariate analyses. All statistical analyses were performed using IBM SPSS Statistics for Windows software. For the statistical significance level, p<0.05 was accepted as meaningful. Results Among 327 patients with uncontrolled diabetes, 33.03% were proteinuric. Patients with proteinuria were significantly older (median age 65 vs. 61 years) and had higher NLR and RAR values. There were no significant differences observed in terms of LAR values between groups. Serum albumin levels were lower and urea levels were higher in the proteinuric group. A multivariate analysis was done to identify variables for the prediction of proteinuria. NLR and RAR were found to be independent predictors of proteinuria even after adjusting for potential confounders in the multivariate analysis. The model achieved a 71.9% correct classification rate. An NLR cutoff of 1.93 increased the likelihood of proteinuria 1.93-fold, while a RAR cutoff of 3.30 increased the likelihood 1.63-fold. Conclusions We found that the LAR ratio cannot be used to predict proteinuria in patients with HbA1C levels above 10, but the NLR and RAR ratios can guide the clinician regarding proteinuria and potentially enhance risk stratification and clinical management strategies before a detailed workup.