Affiliation:
1. The Fifth Affiliated Hospital of Sun Yat-sen University
2. Zhuhai Promotion Association of Mental Health
Abstract
Abstract
Objective
The purpose of the present study was to construct a diagnostic model to distinguish major depressive disorder (MDD) and bipolar disorder (BD) using potential commonly tested blood biomarkers.
Methods
Information of 721 inpatients with an ICD-10 diagnosis of major depressive disorder or bipolar disorder were collected from the electronic medical record system. Variables in the nomogram were selected by best subset selection method after a prior univariable screening, and then constructed using logistic regression with inclusion of the psychotropic medication use. The discrimination, calibration and internal validation of the nomogram were evaluated by the receiver operating characteristic curve, the calibration curve, cross validation and subset validation method.
Results
The nomogram consisted of five variables, including age, eosinophil count, plasma concentrations of prolactin, total cholesterol, and low-density lipoprotein cholesterol. The model could discriminate between MDD and BD with an AUC of 0.858, with a sensitivity of 0.716 and a specificity of 0.890.
Conclusion
The comprehensive nomogram constructed by the present study can be convenient to distinguish MDD and BD since the incorporating variables were common indicators in clinical practice. It could help avoid misdiagnoses and improve prognosis of the patients.
Publisher
Research Square Platform LLC