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Predictors of remission from generalized anxiety disorder and major depressive disorder.

ABSTRACT: BACKGROUND:The predictors of onset of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well-characterized. However the factors that predict remission from these conditions are less clear, and the study of this area is further complicated by differing definitions of remission. METHODS:Data come from the National Comorbidity Survey - Replication, and analysis was limited to respondents with a lifetime history of GAD (n=621) or MDD (n=1299) assessed by the Composite International Diagnostic Interview. Predictors of remission included demographic factors, adverse childhood events, family history, and clinical characteristics. Multiple definitions of remission were explored to account for residual symptoms. RESULTS:Half (54.4%) of respondents with MDD and 41.1% of respondents with GAD experienced full remission. Older age and higher socioeconomic status were positively related to remission in a dose-response manner for both disorders. Adverse childhood experiences and family history of anxious/depressive symptoms were negatively associated with remission from MDD. Comorbid GAD was inversely associated with remission from MDD (Odds ratio (OR): 0.62, 95% Confidence interval (CI): 0.44-0.88), but comorbid MDD did not impact remission from GAD (OR: 0.93, 95% CI: 0.64-1.35). With the exception of the influence of comorbidity, these associations were robust across definitions of remission. LIMITATIONS:Cross-sectional analysis and retrospective recall of onset of MDD/GAD. CONCLUSIONS:Many individuals with MDD or GAD will experience full remission. Some predictors appear to have a general association with remission from both disorders, while others are uniquely associated with remission from MDD.

SUBMITTER: Kelly KM

PROVIDER: S-EPMC5515235 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Predictors of remission from generalized anxiety disorder and major depressive disorder.

Kelly Kristen M KM Mezuk Briana B

Journal of affective disorders 20161026

<h4>Background</h4>The predictors of onset of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well-characterized. However the factors that predict remission from these conditions are less clear, and the study of this area is further complicated by differing definitions of remission.<h4>Methods</h4>Data come from the National Comorbidity Survey - Replication, and analysis was limited to respondents with a lifetime history of GAD (n=621) or MDD (n=1299) assessed by the C ...[more]

PMID: 27863710

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Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD. In total, 33 MDD patients and 34 healthy controls were analyzed using basal gene expression in whole blood, and gene expression from whole blood that was stimulated with LPS for 5-6 h, using microarrays. Patients were arbitrarily selected from all patients to serve as primary cohort (nMDD = 21 (MDD01-MDD21); nControls = 21 (Con01-Con21)), or replication cohort (nMDD = 12 (MDD22-MDD35); nControls = 13 (Con22-Con37)) using microarrays. This submission does not include Samples CON21_LPS or CON30_LPS.

Dataset Information

Predictors of remission from generalized anxiety disorder and major depressive disorder.

Publications

Predictors of remission from generalized anxiety disorder and major depressive disorder.

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