Exploring the Relationship Between Neutrophil-to-Lymphocyte Ratio and Glycemic Control in Type 2 Diabetes Mellitus: A Cross-Sectional Analysis
Gulam Saidunnisa Begum, Elham Said Ahmed AlRisi, Salima Al-Maqbali, Vijaya Marakala, Geetha Subramaniam, Anshoo Agarwal, Nida Suhail, Mariah N. Hafiz, Mohammed M. Jawad

TL;DR
This study found that higher neutrophil-to-lymphocyte ratio (NLR) is linked to poor blood sugar control in type 2 diabetes patients, suggesting NLR could be a useful but limited indicator of inflammation and glycemic status.
Contribution
The study provides new evidence of a weak but significant association between NLR and glycemic control in T2DM patients.
Findings
Patients with poor glycemic control had significantly higher NLR compared to those with good glycemic control.
A weak but statistically significant correlation was found between HbA1c levels and NLR.
NLR showed limited ability to distinguish between good and poor glycemic control (AUC = 0.560).
Abstract
Background/Objectives: The neutrophil-to-lymphocyte ratio (NLR) is an emerging inflammatory biomarker associated with various metabolic disorders, including type 2 diabetes mellitus (T2DM). While poor glycemic control is linked to increased risk of complications, the relationship between glycemic status and NLR remains insufficiently characterized. This study aimed to assess the association between NLR and glycemic control in T2DM patients by comparing those with good glycemic control (GGC; HbA1c ≤ 7%) and poor glycemic control (PGC; HbA1c ≥ 7.1%). Methods: A retrospective cross-sectional study was conducted on 2907 T2DM patients from a tertiary care center. Patients were categorized into GGC (n = 1500) and PGC (n = 1407) groups based on HbA1c values. The mean age of participants was 53.53 ± 18.86 years in the GGC group and 54.31 ± 18.40 years in the PGC group, with comparable sex…
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Taxonomy
TopicsInflammatory Biomarkers in Disease Prognosis · Adipokines, Inflammation, and Metabolic Diseases · Hyperglycemia and glycemic control in critically ill and hospitalized patients
