Evaluation of mean platelet volume, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and red cell distribution width in patients with diagnosis of major depressive disorder

Abstract

The aim of this study was to evaluate the changes in hematologic inflammatory markers such as neutrophil /lymphocyte ratio (NLR), platelet/ lymphocyte ratio (PLR), red cell distribution width (RDW) and mean platelet volume (MPV) in patients with diagnosis of Major Depressive Disorder (MDD). Seventy-five patients between the ages of 18 and 75 who were not currently undergoing any psychiatric treatment and diagnosed having the first episode of MDD according to DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) criteria in the outpatient clinic of the Department of Psychiatry of the Erzurum Regional Training and Research Hospital between June 2016 and September 2016 were included in the study. The control group was selected from relatives of the hospital employees. Fifty-seven volunteers with similar sociodemographic characteristics and body mass indices selected from relatives of the hospital staff who had not any psychiatric and other clinical conditions were included as a control group. Sociodemographic form, Structured Clinical Interview for DSM IV Axis I Disorders (SCID I), Hamilton Depression Rating Scale (HDRS) and Clinical Global Impression Scale (CGI-S) were applied to the patients. Sociodemographic form and SCID I were applied to the control group. There was not any significant difference between groups in terms of hematologic parameters like hemoglobin, he-matocrit, leukocyte count, platelet count, lymphocyte count and neutrophil count. Although there was no significant difference between groups in terms of NLR, PLR and RDW, there existed significant difference between groups in terms of MPV. In the patient group HDRS and CGI-S were not significantly correlated with NLR, PLR, RDW and MPV. As a conclusion; we found increased MPV in MDD group compared with the control group. Further studies are needed to reveal the relationship between depression and inflammatory markers.