"EVALUATING THE DIAGNOSTIC POTENTIAL OF ROUTINE BIOCHEMICAL MARKERS IN MAJOR DEPRESSIVE DISORDER: A CROSS-SECTIONAL STUDY"
Main Article Content
Keywords
Major Depressive Disorder, Biochemical Markers, Fasting Blood Glucose, Fructosamine, HDL-C, Total Protein, Diagnosis, Biomarkers
Abstract
Background: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant impacts on quality of life and overall health. The identification of reliable and accessible biomarkers for MDD could enhance diagnostic accuracy and inform treatment strategies, particularly in resource-limited settings.
Objective: This study aimed to investigate the significance of routine biochemical markers in patients with MDD and to evaluate their potential utility in the diagnosis of the disorder.
Methods: This cross-sectional observational study was conducted at the Department of Biochemistry, MGM Medical College, Indore. A total of 120 participants were enrolled, comprising 60 patients diagnosed with MDD and 60 healthy controls. Biochemical markers, including fasting blood glucose (FBG), fructosamine (SF), high-density lipoprotein cholesterol (HDL-C), and total protein (TP), were measured. Multivariate logistic regression analysis was performed to identify independent associations between these markers and MDD. The diagnostic performance of the combined markers was evaluated using Receiver Operating Characteristic (ROC) curve analysis.
Results: The study identified FBG, SF, HDL-C, and TP as independent markers significantly associated with MDD. MDD patients exhibited elevated levels of FBG (p = 0.007), and SF (p = 0.002) and higher HDL-C (p = 0.018) compared to controls, while TP levels were lower in MDD patients (p = 0.006). The combination of these markers provided good discriminative power, with an area under the curve (AUC) of 0.801, a sensitivity of 0.783, and a specificity of 0.715 at a cut-off value of 0.417.
Conclusion: Routine biochemical markers such as FBG, SF, HDL-C, and TP demonstrate significant associations with MDD and offer potential utility in the clinical assessment of the disorder. The combined use of these markers could enhance diagnostic accuracy, providing an objective complement to traditional clinical evaluations. Further research is recommended to validate these findings and to explore their integration into routine clinical practice for managing MDD.
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