A Retrospective Analysis of Hematologic Parameters in Patients with Early Diabetic Kidney Disease

Xu Chen1, Qinghua Wang2, Chengbin Li1

  • 1Department of Laboratory Medicine, Jingzhou Hospital, Yangtze University, Jingzhou, China.

Insights

Platelet to lymphocyte ratio (PLR) may predict early diabetic kidney disease (DKD). This study found lower PLR in patients with early DKD, suggesting its potential as a biomarker for early detection.

Area of Science:

  • Nephrology
  • Hematology
  • Biomarker Discovery

Background:

  • Diabetic Kidney Disease (DKD) is a major complication of diabetes.
  • Early detection of DKD is crucial for timely intervention and management.
  • Identifying reliable biomarkers for early DKD is an ongoing research area.

Purpose of the Study:

  • To investigate hematologic parameters as potential biomarkers for early DKD.
  • To analyze differences in neutrophil, monocyte, and lymphocyte counts and ratios in patients with and without early DKD.
  • To evaluate the predictive value of identified parameters for early DKD detection.

Main Methods:

  • Retrospective analysis of hematologic parameters in 134 diabetic patients without nephropathy and 49 with early DKD.
  • Statistical comparison using T-test for paired data.
  • Receiver Operating Characteristic (ROC) curve analysis to assess predictive accuracy.

Main Results:

  • Early DKD patients exhibited higher neutrophil counts and lower monocyte counts compared to controls.
  • Neutrophil to lymphocyte ratio (NLR) was elevated, while platelet to lymphocyte ratio (PLR) was significantly lower in the early DKD group.
  • ROC analysis indicated PLR sensitivity of 83.7% and specificity of 82.6% for predicting early DKD.

Conclusions:

  • Platelet to lymphocyte ratio (PLR) demonstrates potential as a predictive biomarker for early diabetic kidney disease.
  • Hematologic parameters, particularly PLR, may aid in the early identification of DKD.
  • Further research is warranted to validate PLR as a clinical tool for DKD screening.
Abstract

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