Predictive factors for a good response to antidepressant pharmacotherapy in patients with metabolic syndrome
Lavinia Vija1,2, Sabina Oros1, Adina Dragomir1,2, Laura Iconaru1, Emilia Gudovan1,2, Catalina Boanta1,2 & Constantin Dumitrache1,2
Objectives: Metabolic syndrome, especially obesity and diabetes are associated and responsible for a depressive psychological status. Meanwhile, antidepressors are responsible for metabolic disturbances, such as insulin resistance. The study aims to determine predictive factors of response to antidepressant pharmacotherapy in patients with metabolic syndrome.
Materials and methods: A retrospective study conducted in Institute Parhons Department for metabolic disease, gathering 50 patients with metabolic syndrome and depression on use of antidepressant medicines (12 patiennts on benzodiazepines, seven patients on selective serotonin reuptake inhibitors, 6 on monoamine oxidase inhibitors) for the period 20072009. The therapeutiresponse has been assessed by the psychiatrist using Hamiltons scale.
Descriptive analysis and linear regression models have been used as statistical interpretation using SPSS 12.0.
Conclusions: Smokers (P<0.001), male sex (P<0.031) type 2 diabetes, as well as hyperglycaemia (OR −1.96) and hypertriglyceridaemia (OR 6.89) correlate with SSRI response.
Depression and stress activation determine an unfavorable balance of glucose-lipid metabolism. Diabetic smokers have a lower response to antidepressant treatment.