Maedica · 2025
Novel Inflammatory Hematological Ratios and Hematological Parameters in Diabetes Mellitus - a Cross-Sectional Study in a Hospital Setting in Gujarat.
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Anandani Garima, Motiani Anita, Goswami Parth, Dholariya Sagar, Bhankhodia Vaishali
Аннотация
INTRODUCTION: Diabetes mellitus (DM) is a chronic metabolic disorder characterized by hyperglycemia due to insulin deficiency or resistance, often accompanied by systemic inflammation and vascular complications. Hematological parameters and inflammatory markers derived from complete blood counts (CBC) may reflect glycemic control and disease progression. This study investigates the association between HbA1c levels and hematological indices, including NLR (neutrophil-to-lymphocyte ratio), MLR (monocyte-to-lymphocyte ratio), PLR (platelet-to-lymphocyte ratio), RDW (red cell distribution width), MPV (mean platelet volume) and PDW (platelet distribution width), to assess their diagnostic utility in DM.
OBJECTIVES: This study aims to identify the association between glycated hemoglobin (HbA1c) levels and a range of hematological parameters, while also evaluating their diagnostic significance in patients with DM. Extensive research has been carried out on hematological parameters and potential systemic inflammatory markers, including NLR and MLR, concerning tumors, cardiovascular diseases and various systemic inflammatory conditions. Nonetheless, only few studies have explored the correlation between DM and these hematological inflammatory markers.
MATERIAL AND METHODS: The present cross-sectional study was carried out over a period of two months, from December 2024 to January 2025, in a tertiary care center located in Rajkot, India. It included 753 cases, with 424 patients exhibiting HbA1c values within the diabetic range, 182 in the prediabetic range and 147 subjects in the non-diabetic range. Comprehensive data was collected and glycated hemoglobin levels, complete blood count results and inflammatory hematological parameters were analyzed. Statistical analyzes was conducted using the Statistical Package for the Social Sciences version 28.0 software. Univariate analysis using one-way ANOVA and Pearson correlation, followed by multinomial logistic regression were utilized to investigate the relationship between HbA1c and hematological parameters.
RESULTS: The red blood cell indices and platelet distribution width were notably lower in diabetic patients, while the monocyte lymphocyte ratio was found to be significantly higher in non-diabetic ones. Correlation analysis between HbA1c levels and hematological parameters indicated several significant yet weak associations. Furthermore, multinomial logistic regression analysis suggested that hematological parameters played a role in differentiating diabetic individuals from prediabetic and non-diabetic ones.
CONCLUSION: Understanding the associations between hematological parameters and HbA1c is important, as these correlations may reveal how glycemic control affects blood cell dynamics and systemic inflammation, thus contributing to effective diagnosis and management.
OBJECTIVES: This study aims to identify the association between glycated hemoglobin (HbA1c) levels and a range of hematological parameters, while also evaluating their diagnostic significance in patients with DM. Extensive research has been carried out on hematological parameters and potential systemic inflammatory markers, including NLR and MLR, concerning tumors, cardiovascular diseases and various systemic inflammatory conditions. Nonetheless, only few studies have explored the correlation between DM and these hematological inflammatory markers.
MATERIAL AND METHODS: The present cross-sectional study was carried out over a period of two months, from December 2024 to January 2025, in a tertiary care center located in Rajkot, India. It included 753 cases, with 424 patients exhibiting HbA1c values within the diabetic range, 182 in the prediabetic range and 147 subjects in the non-diabetic range. Comprehensive data was collected and glycated hemoglobin levels, complete blood count results and inflammatory hematological parameters were analyzed. Statistical analyzes was conducted using the Statistical Package for the Social Sciences version 28.0 software. Univariate analysis using one-way ANOVA and Pearson correlation, followed by multinomial logistic regression were utilized to investigate the relationship between HbA1c and hematological parameters.
RESULTS: The red blood cell indices and platelet distribution width were notably lower in diabetic patients, while the monocyte lymphocyte ratio was found to be significantly higher in non-diabetic ones. Correlation analysis between HbA1c levels and hematological parameters indicated several significant yet weak associations. Furthermore, multinomial logistic regression analysis suggested that hematological parameters played a role in differentiating diabetic individuals from prediabetic and non-diabetic ones.
CONCLUSION: Understanding the associations between hematological parameters and HbA1c is important, as these correlations may reveal how glycemic control affects blood cell dynamics and systemic inflammation, thus contributing to effective diagnosis and management.