Dataset Information

A prognostic index for long-term outcome after successful acute phase cognitive therapy and interpersonal psychotherapy for major depressive disorder.

ABSTRACT:

Background

Major depressive disorder (MDD) has a highly recurrent nature. After successful treatment, it is important to identify individuals who are at risk of an unfavorable long-term course. Despite extensive research, there is no consensus yet on the clinically relevant predictors of long-term outcome in MDD, and no prediction models are implemented in clinical practice. The aim of this study was to create a prognostic index (PI) to estimate long-term depression severity after successful and high quality acute treatment for MDD.

Methods

Data come from responders to cognitive therapy (CT) and interpersonal psychotherapy (IPT) in a randomized clinical trial (n = 85; CT = 45, IPT = 40). Primary outcome was depression severity, assessed with the Beck Depression Inventory II, measured throughout a 17-month follow-up phase. We examined 29 variables as potential predictors, using a model-based recursive partitioning method and bootstrap resampling in conjunction with backwards elimination. The selected predictors were combined into a PI. Individual PI scores were estimated using a cross-validation approach.

Results

A total of three post-treatment predictors were identified: depression severity, hopelessness, and self-esteem. Cross-validated PI scores evidenced a strong correlation (r = 0.60) with follow-up depression severity.

Conclusion

Long-term predictions of MDD are multifactorial, involving a combination of variables that each has a small prognostic effect. If replicated and validated, the PI can be implemented to predict follow-up depression severity for each individual after acute treatment response, and to personalize long-term treatment strategies.

SUBMITTER: van Bronswijk SC

PROVIDER: S-EPMC6587800 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Publications

A prognostic index for long-term outcome after successful acute phase cognitive therapy and interpersonal psychotherapy for major depressive disorder.

van Bronswijk Suzanne C SC Lemmens Lotte H J M LHJM Keefe John R JR Huibers Marcus J H MJH DeRubeis Robert J RJ Peeters Frenk P M L FPML

Depression and anxiety 20181205 3

<h4>Background</h4>Major depressive disorder (MDD) has a highly recurrent nature. After successful treatment, it is important to identify individuals who are at risk of an unfavorable long-term course. Despite extensive research, there is no consensus yet on the clinically relevant predictors of long-term outcome in MDD, and no prediction models are implemented in clinical practice. The aim of this study was to create a prognostic index (PI) to estimate long-term depression severity after succes ...[more]

PMID: 30516871

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Project description:PurposeBreast cancer (BC) is a risk factor for major depressive disorder (MDD), yet little research has tested the efficacy of different psychotherapies for depressed women with BC. This study, the largest to date, compared outcomes of three evidence-based, 12-week therapies in treating major depressive disorder among women with breast cancer.MethodsThis randomized trial compared interpersonal psychotherapy (IPT), problem solving therapy (PST), and brief supportive psychotherapy (BSP). Conducted at the outpatient clinic of the New York State Psychiatric Institute/Columbia University, the trial offered bilingual treatment by treatment-specific psychotherapists supervised by treatment experts. The primary outcome was change in the Hamilton Depression Rating Scale (HAM-D) at 12 weeks. Secondary outcomes included other validated patient-reported outcomes for depression and quality of life.ResultsOf 179 women with breast cancer screening positive for depression at the Columbia Cancer Center, 134 eligible patients signed informed treatment consent. Half of patients were Hispanic and economically disadvantaged. Most women had stage I (35.2%) or II (36.9%) BC; 9% had stage IV. The three brief psychotherapies showed similar improvements on the HAM-D, with large pre-post effect sizes (d ~ 1.0); a priori defined response rates were 35% for IPT, 50% for PST and 31% for BSP, and remission rates 25%, 30% and 27%, respectively. The three treatments also showed similar improvements in the Quality of Life Enjoyment and Satisfaction Questionnaire. Dropout was high, ranging from 37 to 52% across treatments. Predictors of dropout included having < 16 years of education and annual family income < $20,000.ConclusionsAmong patients who completed treatment, all three psychotherapies were associated with similar, meaningful improvements in depression. Physical distance between the oncology and psychiatric treatment sites might have contributed to high dropout. This study suggests various psychotherapy approaches may benefit patients with breast cancer and major depression.

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.

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Dataset Information

A prognostic index for long-term outcome after successful acute phase cognitive therapy and interpersonal psychotherapy for major depressive disorder.

Background

Methods

Results

Conclusion

Publications

A prognostic index for long-term outcome after successful acute phase cognitive therapy and interpersonal psychotherapy for major depressive disorder.

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