Clinical Utility of Using Hematological Markers of Systemic Inflammation as Surrogate Markers for Glycated Hemoglobin in Resource-limited Settings – A Prospective Observational Study

BACKGROUND: Diabetes mellitus is a major global health problem with a disproportionately high burden in low- and middle-income countries, where access to glycated haemoglobin (HbA1c) testing remains limited. AIMS AND OBJECTIVES: The study aimed to assess the utility of basic haematological parameters such as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) as a surrogate marker for HbA1c. MATERIALS AND METHODS: This prospective cross-sectional study was conducted on 300 participants, divided into three equal groups based on their HbA1c levels (Group 1 with HbA1c between 5.7% and 6.4%, Group 2 with HbA1c >6.4%, and Group 3 with HbA1c <5.7). The relevant laboratory data for all three groups were retrieved from the patient records and statistically analyzed using analysis of variance. A receiver operating characteristic curve was plotted to analyze whether the value of these haematological parameters may be used to predict HbA1c levels. RESULTS AND CONCLUSIONS: The study concluded that a set of haematological parameters (NLR, PLR, absolute neutrophil count, absolute monocyte count, platelet count, systemic inflammatory response index, and systemic immune-inflammation index) is a significant associate of HbA1c and a potential surrogate marker for glycaemic control. The study also concluded that an NLR cutoff of 1.79 may be used as the value above which glycaemic control is suboptimal. In resource-limited settings, NLR may serve as a pragmatic adjunct marker for identifying suboptimal glycaemic control.

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Journal
Annals of African Medicine
Published
2026-04-06
DOI
https://doi.org/10.4103/aam.aam_845_25
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Clinical Utility of Using Hematological Markers of Systemic Inflammation as Surrogate Markers for Glycated Hemoglobin in Resource-limited Settings – A Prospective Observational Study

Arjun Asok, Prakash M Patil, Veena Varier, Prasanth C. B. Warrier
Annals of African Medicine
Inflammatory Biomarkers in Disease Prognosis
article

Clinical Utility of Using Hematological Markers of Systemic Inflammation as Surrogate Markers for Glycated Hemoglobin in Resource-limited Settings – A Prospective Observational Study

Arjun Asok, Prakash M Patil, Veena Varier, Prasanth C. B. Warrier
article en

Abstract

BACKGROUND: Diabetes mellitus is a major global health problem with a disproportionately high burden in low- and middle-income countries, where access to glycated haemoglobin (HbA1c) testing remains limited. AIMS AND OBJECTIVES: The study aimed to assess the utility of basic haematological parameters such as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) as a surrogate marker for HbA1c. MATERIALS AND METHODS: This prospective cross-sectional study was conducted on 300 participants, divided into three equal groups based on their HbA1c levels (Group 1 with HbA1c between 5.7% and 6.4%, Group 2 with HbA1c >6.4%, and Group 3 with HbA1c <5.7). The relevant laboratory data for all three groups were retrieved from the patient records and statistically analyzed using analysis of variance. A receiver operating characteristic curve was plotted to analyze whether the value of these haematological parameters may be used to predict HbA1c levels. RESULTS AND CONCLUSIONS: The study concluded that a set of haematological parameters (NLR, PLR, absolute neutrophil count, absolute monocyte count, platelet count, systemic inflammatory response index, and systemic immune-inflammation index) is a significant associate of HbA1c and a potential surrogate marker for glycaemic control. The study also concluded that an NLR cutoff of 1.79 may be used as the value above which glycaemic control is suboptimal. In resource-limited settings, NLR may serve as a pragmatic adjunct marker for identifying suboptimal glycaemic control.

Annals of African Medicine
Shri BM Patil Medical College (IN), Government Medical College (IN), Manipal Academy of Higher Education (IN), Kerala University of Health Sciences (IN), Kerala Agricultural University (IN), Kasturba Medical College, Manipal (IN)
Openalex Percentile: Top 22%
Inflammatory Biomarkers in Disease Prognosis
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