INVESTIGATING THE DIAGNOSTIC UTILITY OF C-PEPTIDE IN DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN A TERTIARY HEALTH FACILITY IN EDO STATE, NIGERIA

Chronic hyperglycemia, a hallmark of diabetes mellitus (DM), necessitates proper classification for effective management, a task often complicated by misdiagnosis, especially where resources are limited. This research aimed to investigate the diagnostic utility of C-peptide, a marker of endogenous insulin secretion, in patients at a tertiary medical facility in Edo State, Nigeria. Using a cross-sectional design, three groups—Type 1 DM, Type 2 DM, and non-diabetic controls had their serum C-peptide levels measured and compared. Blood pressure and anthropometric data were also recorded. The discriminative power of C-peptide for DM classification was evaluated using ROC curve analysis. Findings revealed that C-peptide levels were significantly lower in Type 1 DM patients (mean = 0.1935 ng/mL) compared to Type 2 DM (1.3067 ng/mL) and controls (1.9064 ng/mL), with Type 2 DM subjects showing intermediate levels indicative of partial β-cell function. No discernible variation in C-peptide levels by gender was observed. ROC analysis demonstrated excellent discriminatory power for identifying Type 1 DM (AUC = 0.002), with this value indicating that a low C-peptide level is highly predictive of the disease. The analysis also showed good discriminatory power for Type 2 DM (AUC = 0.265). In conclusion, C-peptide measurement proves to be a valid and affordable biomarker for differentiating diabetes mellitus types. It is particularly useful for detecting absolute insulin insufficiency in Type 1 DM, thus advocating for its integration into routine clinical evaluation to enhance diagnostic precision and guide customized treatment plans.

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Journal
Open Journal of Medical Research (ISSN 2734-2093)
Published
2025-09-21
DOI
https://doi.org/10.52417/ojmr.v6i2.942
Primary Topic
Diabetes and associated disorders
Type
article
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article

INVESTIGATING THE DIAGNOSTIC UTILITY OF C-PEPTIDE IN DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN A TERTIARY HEALTH FACILITY IN EDO STATE, NIGERIA

K. Atoe, Oghenevwogaga Obukohwo Edenya, PS Ogunro, ES Idogun
Open Journal of Medical Research (ISSN 2734-2093)
Diabetes and associated disorders
article

INVESTIGATING THE DIAGNOSTIC UTILITY OF C-PEPTIDE IN DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN A TERTIARY HEALTH FACILITY IN EDO STATE, NIGERIA

K. Atoe, Oghenevwogaga Obukohwo Edenya, PS Ogunro, ES Idogun
article en

Abstract

Chronic hyperglycemia, a hallmark of diabetes mellitus (DM), necessitates proper classification for effective management, a task often complicated by misdiagnosis, especially where resources are limited. This research aimed to investigate the diagnostic utility of C-peptide, a marker of endogenous insulin secretion, in patients at a tertiary medical facility in Edo State, Nigeria. Using a cross-sectional design, three groups—Type 1 DM, Type 2 DM, and non-diabetic controls had their serum C-peptide levels measured and compared. Blood pressure and anthropometric data were also recorded. The discriminative power of C-peptide for DM classification was evaluated using ROC curve analysis. Findings revealed that C-peptide levels were significantly lower in Type 1 DM patients (mean = 0.1935 ng/mL) compared to Type 2 DM (1.3067 ng/mL) and controls (1.9064 ng/mL), with Type 2 DM subjects showing intermediate levels indicative of partial β-cell function. No discernible variation in C-peptide levels by gender was observed. ROC analysis demonstrated excellent discriminatory power for identifying Type 1 DM (AUC = 0.002), with this value indicating that a low C-peptide level is highly predictive of the disease. The analysis also showed good discriminatory power for Type 2 DM (AUC = 0.265). In conclusion, C-peptide measurement proves to be a valid and affordable biomarker for differentiating diabetes mellitus types. It is particularly useful for detecting absolute insulin insufficiency in Type 1 DM, thus advocating for its integration into routine clinical evaluation to enhance diagnostic precision and guide customized treatment plans.

Open Journal of Medical Research (ISSN 2734-2093)Vol. 6(2)
Edo State University Uzairue (NG), University of Benin (NG), Olusegun Agagu University of Science and Technology (NG), Ebonyi State University (NG)
Openalex Percentile: Top 72%
Diabetes and associated disorders
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