Development of a Model with a Panel of Biochemical Parameters to Identify Major Depressive Disorder

  • Soma Gupta NRS Medical College
  • Diya Bhaduri
  • Smarajit Bose
  • Saswati Nath
  • H N Das
Keywords: Biochemical Parameters, MDD identification, Model development


Background: There is no available biomarker which can detect cases of Major Depressive Disorder (MDD). So a number of cases remain undetected particularly in those set ups where trained physicians are not available. This case control study was carried out with an aim to find out a panel of parameters in cases of MDD. It was also aimed to find out how successfully people can be classified into MDD and normal groups using this model Methods: A total number of 150 cases suffering from MDD were included in this study with an equal number of age and gender matched controls. 10 selective biochemical parameters, chosen from review of literature and corroborating pathogenesis of MDD were estimated in blood of all subjects. The parameters, namely, Cortisol, TSH, Prolactin, hsCRP, Ferritin, Cholesterol, Triglyceride, Calcium and Magnesium were estimated by using commercially available kits. Oxidative Stress Index (OSI) was standardized manually. The predictive model was developed using Multiple Logistic Regression. Then the ROC curve analysis of predictive model was done using the software R. Result: Cholesterol, Triglyceride and Calcium were not considered as they were not found to be significantly altered in MDD. Ferritin was not considered as its level vary according to gender and could not be used as universal parameter. A combined estimation of TSH, Prolactin, hsCRP and Magnesium can identify cases with MDD with 86% sensitivity and 90% specificity. Addition of OSI increases the sensitivity to 93%. Conclusion: The model needs validation by further study.

Author Biographies

Soma Gupta, NRS Medical College
Diya Bhaduri
Department of Statistics, Presidency University, Kolkata, India
Smarajit Bose
Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India
Saswati Nath
Department of Psychiatry, RG Kar Medical College, Kolkata, India
H N Das
Department of Biochemistry, RG Kar Medical College (Retired), Kolkata, India


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Original Article