Itaru Utagawa

Predictors of response to electroconvulsive therapy obtained using the three-factor structure of the Montgomery and Asberg Depression Rating Scale for treatment-resistant depressed patients.

Objective: Electroconvulsive therapy (ECT) is one of the most effective treatments for refractory major depressive disorder (MDD). Although studies have examined different predictors of a positive response to ECT, predictors based on symptoms listed on a depression rating scale have not been studied. Methods: This study included 24 Japanese patients who fulfilled the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition criteria for MDD or bipolar disorder with current major depressive episode. All subjects had a score of 21 or higher on the Montgomery and Åsberg Depression Rating Scale (MADRS). The 3-factor model of MADRS was used for analysis: factor 1 (dysphoria) was defined by 3 items, factor 2 (retardation) was defined by 4 items, and factor 3 (vegetative symptoms) was defined by 3 items. Electroconvulsive therapy was performed 2 times a week for a total of 6 sessions using the Thymatron System IV device (Somatics, Inc., Lake Bluff, Ill) with the brief-pulse technique. A clinical response was defined as a 50% or greater decrease on the pretreatment total MADRS score. Results: The mean factor 1 score of responders (n = 17) at pretreatment was significantly higher than that of the nonresponders (n = 7). Furthermore, a significant difference in mean factor 3 scores between responders and nonresponders was observed 1 week after the 6 ECT sessions were complete, indicating a lag in response time. No significant differences were observed in age, number of previous episodes, and duration of current episodes between the responders and nonresponders. Conclusions: This study suggests that a high factor 1 MADRS score at pretreatment was a good predictor of response to ECT in patients with treatment-resistant MDD.

Roles of serum fibrinogen α chain‐derived peptides in Alzheimer's disease

To find a blood biomarker and disease‐related peptides in Alzheimers disease (AD), we comprehensively detected serum peptides.

Symptom predictors of response to electroconvulsive therapy in older patients with treatment-resistant depression.

Background: Electroconvulsive therapy (ECT) has been used for treatment-resistant depression. However, predictors of response to ECT have not been adequately studied using the Montgomery and Åsberg Depression Rating Scale, especially in older patients with treatment-resistant depression. Methods: This study included 18 Japanese patients who fulfilled the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition Text Revision criteria for a diagnosis of major depressive disorder or bipolar disorder with a current major depressive episode, and met the definition of treatment-resistant depression outlined by Thase and Rush, scoring ≥21 on the Montgomery and Åsberg Depression Rating Scale. The three-factor model of the Montgomery and Åsberg Depression Rating Scale was used for analysis. Factor 1 was defined by three items, factor 2 by four items, and factor 3 by three items, representing dysphoria, retardation, and vegetative symptoms, respectively. ECT was performed twice a week for a total of six sessions using a Thymatron System IV device with the brief pulse technique. Clinical responses were defined on the basis of a ≥50% decrease in total pretreatment Montgomery and Åsberg Depression Rating Scale scores. Results: The mean pretreatment factor 2 score for responders (n = 7) was significantly lower than that for nonresponders (n = 11). Furthermore, a significant difference in mean factor 3 score between responders and nonresponders was observed one week after six sessions of ECT, indicating a time lag of response. No significant differences were observed for age, number of previous episodes, and duration of the current episode between responders and nonresponders. Conclusion: This study suggests that a low pretreatment factor 2 score is a good predictor of response to ECT in older patients with major depression.