Hematological Variables (NLR, PLR, MLR, MPR, and RPR) as Predictive Markers for Glucose Levels in Patients of Type 2 Diabetes Mellitus
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: This study explores the association between hematological ratios (NLR, PLR, MLR, MPR, and RPR) and HbA1c in T2DM patients. Methodology: This cross-sectional study was conducted at HIT-hospital Taxila from December 2022 to December 2023. One hundred T2DM patients aged ? 35 years from HIT Hospital-Taxila were included. They were divided into two groups (Group-I: HbA1c ? 7%, Group- II: HbA1c > 7%). BSF, BSR and HbA1c were analyzed. Hematological parameters were used to calculate the ratios. Statistical analysis was performed using SPSS version 29. Results: The group with higher HbA1c levels had significantly elevated levels of TC, MPV, PLR, NLR, and MLR. A strong positive correlation of HBA1C with NLR and PLR indicates that uncontrolled diabetes has a strong association with these markers. Stepwise linear regression analysis showed that Model III has better predictive power with a good adjusted R square and significant p-value. Conclusion: Hematological parameters, especially NLR and PLR correlate well with glycemic control in T2DM and can serve as reliable predictive markers for uncontrolled diabetes. Regular monitoring of these variables may aid in affordable diagnosis and better management of T2DM.
Authors: Shahida Mushtaq, Hasan Burair, Wajiha Mah jabeen, Alia Zubair, Ambreen Zafar, Nazia Siddiqui, Sabahat Rehman, Farhat Abbass Bhatti
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410914583