Objective: This article aims to identify baseline sociodemographic and clinical characteristics associated with the duration of the index major depressive episode (MDE) and to assess the effect of the current MDE duration on response and remission rates with up to 14 weeks of citalopram.
Method: Eligible participants met DSM-IV criteria for nonpsychotic major depressive disorder, scored >or= 14 on the 17-item Hamilton Rating Scale for Depression (HAM-D-17), and were not resistant to adequate antidepressant treatment in the current episode. The first patient was enrolled in July 2001 and the last visit for the last patient in follow-up was in March 2006. The evaluable sample (N = 2851) was divided into 4 groups based on the index MDE duration at study entry: acute (
Results: MDE duration was longer in primary care settings, blacks, Hispanics, single or widowed, unemployed, publicly insured or uninsured, older, and less educated participants and in those with lower income, less recurrence, or greater concurrent general medical or Axis I comorbidities. HAM-D-17 remission rates ranged from 31.0% (acute group) to 24.1% (ultrachronic group). HAM-D-17 remission rates were significantly related to MDE duration (p = .0010), but after adjustments for baseline differences among the 4 groups, remission rates were not different. QIDS-SR-16 response rates were lower for the subacute and chronic groups but not different for the acute and ultrachronic groups after adjustment.
Conclusion: Longer MDE duration is associated with socioeconomic disadvantage and greater Axis I and medical comorbidity. Episode duration per se does not significantly affect the likelihood of remission.
Trial Registration: clinicaltrials.gov Identifier: NCT00021528.
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http://dx.doi.org/10.4088/jcp.v69n0807 | DOI Listing |
J Adolesc Health
January 2025
Laboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China; Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China. Electronic address:
Purpose: Subthreshold depression refers to a condition involving clinically significant depressive symptoms that fall short of meeting the diagnostic criteria for major depressive disorder (MDD). Identifying risk and protective factors associated with the progression of subthreshold depression in early life is essential for timely prevention. However, there is limited research on this topic among early adolescents.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Anhui Province, Hefei 230022, China; Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China. Electronic address:
Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with major depressive disorder (MDD), but the underlying neuromodulatory mechanisms remain largely unknown. Functional stability represents a newly developed method based on the dynamic functional connectivity framework. This study aimed to explore ECT-evoked changes in functional stability and their relationship with clinical outcomes.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Affect Disord
January 2025
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA. Electronic address:
Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this exploratory study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive-Behavioral Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways.
View Article and Find Full Text PDFJ Affect Disord
January 2025
University of Ottawa Institute of Mental Health Research, University of Ottawa, Ottawa, Canada. Electronic address:
Aim: Major depressive disorder (MDD) is characterized by altered activity in various higher-order regions like the anterior cingulate and prefrontal cortex. While some findings also show changes in lower-order sensory regions like the occipital cortex in MDD, the latter's exact neural and temporal, e.g.
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