Recovery and subsequent recurrence in patients with recurrent major depressive disorder

Shared and Unique Changes in Brain Connectivity Among Depressed Patients After Remission With Pharmacotherapy Versus Psychotherapy

OBJECTIVE

The authors sought to determine the shared and unique changes in brain resting-state functional connectivity (rsFC) between patients with major depressive disorder who achieved remission with cognitive-behavioral therapy (CBT) or with antidepressant medication.

METHODS

The Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) trial randomized adults with treatment-naive major depressive disorder to 12 weeks of treatment with CBT (16 1-hour sessions) or medication (duloxetine 30-60 mg/day or escitalopram 10-20 mg/day). Resting-state functional MRI scans were performed at baseline and at week 12. The primary outcome was change in the whole-brain rsFC of four seeded brain networks among participants who achieved remission.

RESULTS

Of the 131 completers with usable MRI data (74 female; mean age, 39.8 years), remission was achieved by 19 of 40 CBT-treated and 45 of 91 medication-treated patients. Three patterns of connectivity changes were observed. First, those who remitted with either treatment shared a pattern of reduction in rsFC between the subcallosal cingulate cortex and the motor cortex. Second, reciprocal rsFC changes were observed across multiple networks, primarily increases in CBT remitters and decreases in medication remitters. And third, in CBT remitters only, rsFC increased within the executive control network and between the executive control network and parietal attention regions.

CONCLUSIONS

Remission from major depression via treatment with CBT or medication is associated with changes in rsFC that are mostly specific to the treatment modality, providing biological support for the clinical practice of switching between or combining these treatment approaches. Medication is associated with broadly inhibitory effects. In CBT remitters, the increase in rsFC strength between networks involved in cognitive control and attention provides biological support for the theorized mechanism of CBT. Reducing affective network connectivity with motor systems is a shared process important for remission with both CBT and medication.

Empirical evidence for definitions of episode, remission, recovery, relapse and recurrence in depression: a systematic review

AIMS.

For the past quarter of a century, Frank et al.'s (1991) consensus-based definitions of major depressive disorder (MDD) episode, remission, recovery, relapse and recurrence have been the paramount driving forces for consistency in MDD research as well as in clinical practice. This study aims to review the evidence for the empirical validation of Frank et al.'s proposed concept definitions and to discuss evidence-based modifications.

METHODS.

A literature search of Web of Science and PubMed from 1/1/1991 to 08/30/2017 identified all publications which referenced Frank et al.'s request for definition validation. Publications with data relevant for validation were included and checked for referencing other studies providing such data.

RESULTS.

A total of 56 studies involving 39 315 subjects were included, mainly presenting data to validate the severity and duration thresholds for defining remission and recovery. Most studies indicated that the severity threshold for defining remission should decrease. Additionally, specific duration thresholds to separate remission from recovery did not add any predictive value to the notion that increased remission duration alleviates the risk of reoccurrence of depressive symptoms. Only limited data were available to validate the severity and duration criteria for defining a depressive episode.

CONCLUSIONS.

Remission can best be defined as a less symptomatic state than previously assumed (Hamilton Rating Scale for Depression, 17-item version (HAMD-17) ⩽4 instead of ⩽7), without applying a duration criterion. Duration thresholds to separate remission from recovery are not meaningful. The minimal duration of depressive symptoms to define a depressive episode should be longer than 2 weeks, although further studies are required to recommend an exact duration threshold. These results are relevant for researchers and clinicians aiming to use evidence-based depression outcomes.

Predictors of recurrence in a sample of 508 outpatients with major depressive disorder

OBJECTIVE

Specific predictors of relapse/recurrence in major depressive disorder (MDD) have been identified but evidence across studies are inconsistent. This study aimed to identify the most relevant socio-demographic/clinical predictors of MDD recurrence in a sample of 508 outpatients.

METHODS

This naturalistic cohort study included 508 currently euthymic MDD patients (mean age = 54.1 ± 16.2) of which 53.9% had a single and 46.1% recurrent depressive episodes. A detailed data collection was performed and illness histories were retraced through clinical files and lifetime computerized medical records.

RESULTS

Compared to patients with single episode, MDD patients with recurrent episodes significantly differ regarding current age, gender, working status, positive history of psychiatric disorders in family, first-lifetime illness episode characteristics, first-episode and current psychotic symptoms, current melancholic features and seasonality, age at first treatment, duration of untreated illness, and comorbid cardiovascular/endocrinological conditions. However, after multivariate analyses controlling for current age, gender, educational level, working status differences, psychiatric conditions in family, and age of illness episode, recurrence was associated with older age (p ≤ .001), younger age at first treatment (p ≤ .005), being treated with previous psychoactive treatments (p .001), and longer duration of untreated illness (p .001).

CONCLUSIONS

The variables associated with MDD recurrence identified in the current study may aid in the stratification of patients who could benefit from more intensive maintenance treatments for MDD. However, clinicians should rapidly identify cases that are not likely to recur in order to avoid unnecessary treatments which are commonly considered as the standard of care.

The Potential of Carnosine in Brain-Related Disorders: A Comprehensive Review of Current Evidence

Neurological, neurodegenerative, and psychiatric disorders represent a serious burden because of their increasing prevalence, risk of disability, and the lack of effective causal/disease-modifying treatments. There is a growing body of evidence indicating potentially favourable effects of carnosine, which is an over-the-counter food supplement, in peripheral tissues. Although most studies to date have focused on the role of carnosine in metabolic and cardiovascular disorders, the physiological presence of this di-peptide and its analogues in the brain together with their ability to cross the blood-brain barrier as well as evidence from in vitro, animal, and human studies suggest carnosine as a promising therapeutic target in brain disorders. In this review, we aim to provide a comprehensive overview of the role of carnosine in neurological, neurodevelopmental, neurodegenerative, and psychiatric disorders, summarizing current evidence from cell, animal, and human cross-sectional, longitudinal studies, and randomized controlled trials.

Readmission in psychiatry inpatients within a year of discharge: The role of symptoms at discharge and post-discharge care in a Brazilian sample

INTRODUCTION

Readmission into inpatient psychiatric beds is a useful outcome for patients, care providers, and policymakers. This study aims to investigate the role of level of symptoms at discharge and type of post-discharge care in determining readmissions after a year before a psychiatric admission.

METHODS

We performed a prospective and observational study in a general hospital psychiatric facility. Patients were assessed at admission, discharge, and one year after discharge. We used a multivariable logistic regression to determine predictors of readmission.

RESULTS

In total, 488 patients were included at admission, and 401 (82,17%) were accessed in the follow-up period. Psychiatric readmissions occurred in 29.17% of the followed patients. The number of previous admissions represents a 38% higher chance of being readmitted (OR 1.38; CI 1.16-1.60). For patients admitted in a depressive episode, not being in remission at discharge increases 140% the chance to be readmitted (OR 2.40; CI 1.14-5.07) as well as the follow-up at primary (OR 5.27; CI 1.06-26.15). For those with Schizophrenia and related disorders, higher scores in BPRS at discharge increases the chance to be readmitted (OR 1.28, CI 1.11-1.48).

CONCLUSION

Level of symptoms at discharge was related to higher chance to be readmitted in patients admitted in a depressive episode and those with schizophrenia and related disorders. Findings of the type of care raise the need for further investigation. Also, this finding confirms the importance of the history of previous admissions in predicting future admissions.

Follow-up of monotherapy remitters in the PReDICT study: Maintenance treatment outcomes and clinical predictors of recurrence

OBJECTIVE

This study followed remitted patients from a randomized controlled trial of adults with major depressive disorder (MDD). The aims were to describe rates of recurrence and to evaluate 3 clinical predictor domains.

METHOD

Ninety-four treatment-naïve patients (50% female; Mage = 38.1 years; 48.9% White; 30.9% Hispanic) with MDD who had remitted to 12-week monotherapy (escitalopram, duloxetine, or cognitive behavior therapy [CBT]) participated in a 21-month maintenance phase (i.e., continued medication or 3 possible CBT booster sessions per year). Recurrence was assessed quarterly, and the clinical predictors were the following: 2 measures of residual depressive symptoms, 1 measure of lifetime depressive episodes, and 2 measures of baseline anxiety. Survival analysis models evaluated recurrence rates, and regression models evaluated the predictors.

RESULTS

Among all patients, 15.5% experienced a recurrence, and the survival distributions did not statistically differ among treatments. Residual depressive symptoms on the Hamilton Depression Rating Scale at the end of monotherapy were associated with increased risk for recurrence (hazard ratio = 1.31, 95% confidence interval [CI: 1.02, 1.67], Wald χ2 = 4.41, p = .036), and not having a comorbid anxiety disorder diagnosis at study baseline reduced the risk of recurrence (hazard ratio = .31, 95% CI [.10, .94], Wald χ2 = 4.28, p = .039).

CONCLUSIONS

The study supported the benefits of maintenance treatment for treatment-naïve patients who remitted to initial monotherapy; nevertheless, remitted patients with a comorbid anxiety disorder diagnosis at the beginning of treatment or residual depressive symptoms after initial treatment were at risk for poorer long-term outcomes. (PsycINFO Database Record

Predicting relapse after antidepressant withdrawal - a systematic review

A substantial proportion of the burden of depression arises from its recurrent nature. The risk of relapse after antidepressant medication (ADM) discontinuation is high but not uniform. Predictors of individual relapse risk after antidepressant discontinuation could help to guide treatment and mitigate the long-term course of depression. We conducted a systematic literature search in PubMed to identify relapse predictors using the search terms '(depress* OR MDD*) AND (relapse* OR recurren*) AND (predict* OR risk) AND (discontinu* OR withdraw* OR maintenance OR maintain or continu*) AND (antidepress* OR medication OR drug)' for published studies until November 2014. Studies investigating predictors of relapse in patients aged between 18 and 65 years with a main diagnosis of major depressive disorder (MDD), who remitted from a depressive episode while treated with ADM and were followed up for at least 6 months to assess relapse after part of the sample discontinued their ADM, were included in the review. Although relevant information is present in many studies, only 13 studies based on nine separate samples investigated predictors for relapse after ADM discontinuation. There are multiple promising predictors, including markers of true treatment response and the number of prior episodes. However, the existing evidence is weak and there are no established, validated markers of individual relapse risk after antidepressant cessation. There is little evidence to guide discontinuation decisions in an individualized manner beyond overall recurrence risk. Thus, there is a pressing need to investigate neurobiological markers of individual relapse risk, focusing on treatment discontinuation.

Computational psychiatry as a bridge from neuroscience to clinical applications

Translating advances in neuroscience into benefits for patients with mental illness presents enormous challenges because it involves both the most complex organ, the brain, and its interaction with a similarly complex environment. Dealing with such complexities demands powerful techniques. Computational psychiatry combines multiple levels and types of computation with multiple types of data in an effort to improve understanding, prediction and treatment of mental illness. Computational psychiatry, broadly defined, encompasses two complementary approaches: data driven and theory driven. Data-driven approaches apply machine-learning methods to high-dimensional data to improve classification of disease, predict treatment outcomes or improve treatment selection. These approaches are generally agnostic as to the underlying mechanisms. Theory-driven approaches, in contrast, use models that instantiate prior knowledge of, or explicit hypotheses about, such mechanisms, possibly at multiple levels of analysis and abstraction. We review recent advances in both approaches, with an emphasis on clinical applications, and highlight the utility of combining them.

Evidence-Based Applications of Combination Psychotherapy and Pharmacotherapy for Depression

Combination treatment with psychotherapy and antidepressant medication can be provided from the initiation of treatment, sequentially after nonremission with a single-modality treatment or sequentially after remission to buttress the patient's recovery to prevent recurrence. Combination treatment from the initiation of care is best reserved for patients with high depression severity. Sequential addition of treatments, particularly psychotherapy after nonremission to antidepressant medication, is the best supported method of combination, improving remission rates and reducing relapse and recurrence in the long term. However, uncertainty persists around the optimal form of psychotherapy to combine with antidepressant medication for maximizing long-term gains. Better outcomes from combination treatment have been strongest in clinical trials that limited pharmacotherapy to a single antidepressant; benefits of combination treatment have been substantially smaller in trials that allowed flexible use of multiple antidepressant classes. Patients with recurrent major depressive disorder who benefit from combination treatment have better long-term outcomes if an active treatment component is maintained during recovery.

Prophylactic efficacy of fluoxetine, escitalopram, sertraline, paroxetine, and concomitant psychotherapy in major depressive disorder: outcome after long-term follow-up

The acute efficacy of selective serotonin reuptake inhibitors (SSRIs) in the treatment of major depressive disorder (MDD) is well established; however their role in longer-term prevention of recurrence remains unconfirmed. This study aims at examining: the prophylactic efficacy of four commonly used SSRIs in MDD in a naturalistic setting with long-term follow-up, the effect of concomitant cognitive behavioral therapy (CBT), and the predictors of outcome. In a prospective cohort study, 387 patients who either remitted or responded following treatment with four different SSRIs-fluoxetine, escitalopram, sertraline and paroxetine-were followed up over several years. During an average follow-up period of 34.5 months, 76.5% of patients experienced MDD recurrence. Escitalopram and fluoxetine showed a numerically higher prophylactic efficacy than paroxetine and sertraline but the difference was statistically insignificant. The prophylactic efficacy for SSRI-only treatment was limited, with a recurrence rate of 82.0%, compared to 59.0% of patient recurrence rate in concomitant Cognitive Behavioral Therapy (CBT). The relatively small size of the CBT group and the lack of randomization may undermine the extrapolation of its findings to clinical practice. Nevertheless, the study preliminary data may help in defining the clinical utility of antidepressants and CBT in the prophylaxis from MDD recurrence.

Plasma amino acid profiling in major depressive disorder treated with selective serotonin reuptake inhibitors

AIMS

Amino acids are important body metabolites and seem to be helpful for understanding pathogenesis and predicting therapeutic response in major depressive disorder (MDD). We performed amino acid profiling to discover potential biomarkers in major depressive patients treated with selective serotonin reuptake inhibitors (SSRIs).

METHODS

Amino acid profiling using aTRAQ™ kits for Amino Acid Analysis in Physiological Fluids on a liquid chromatography-tandem mass spectrometry (LC-MS/MS) system was performed on 158 specimens at baseline and at 6 weeks after the initiation of SSRI treatment for 68 patients with MDD and from 22 healthy controls.

RESULTS

Baseline alpha-aminobutyric acid (ABA) discriminated the patients according to the therapeutic response. Plasma glutamic acid concentration and glutamine/glutamic acid ratio were different between before and after SSRI treatment only in the response group. Comparing patients with MDD with healthy controls, alterations of ten amino acids, including alanine, beta-alanine, beta-aminoisobutyric acid, cystathionine, ethanolamine, glutamic acid, homocystine, methionine, O-phospho-L-serine, and sarcosine, were observed in MDD.

CONCLUSION

Metabolism of amino acids, including ABA and glutamic acid, has the potential to contribute to understandings of pathogenesis and predictions of therapeutic response in MDD.

Stable remission and recovery after acute-phase cognitive therapy for recurrent major depressive disorder

OBJECTIVE

Continuation-phase cognitive therapy (C-CT) or fluoxetine (FLX) reduces relapse in adults with major depressive disorder (MDD; Jarrett, Minhajuddin, Gershenfeld, Friedman, & Thase, 2013). Among patients at higher risk for relapse, we hypothesized that continuation-phase treatment reduces residual symptoms and facilitates stable remission and recovery.

METHOD

Outpatients (N = 241) with recurrent MDD who responded to acute-phase CT with higher risk for relapse (i.e., had unstable remission defined by any of the last 7 acute-phase scores ≥ 7 using the Hamilton Rating Scale for Depression; Hamilton, 1960) were randomized to 8 months of C-CT, FLX, or pill placebo and followed for 24 additional months. Psychiatric status ratings (Keller et al., 1987) of 1 or 2 (absent or minimal depressive symptoms) for 6 and 35 continuous weeks post-randomization defined stable remission and recovery, respectively.

RESULTS

Actuarial estimates of stable remission (97%) and recovery (94%) by the end of follow-up were high and did not differ among groups. Observed (unadjusted) proportions of patients remitting (70%) and recovering (47%) before relapse or attrition were lower. During the continuation phase, C-CT (d = 0.21) and FLX (d = 0.25) patients had significantly lower mean depressive symptoms than did controls, but C-CT and FLX patients did not differ from each other, nor did the 3 experimental groups differ during follow-up.

CONCLUSION

Many patients who responded to CT with higher relapse risk subsequently remitted and recovered after discontinuation of acute-phase treatment. After discontinuation, C-CT and FLX decreased levels of residual depressive symptoms, but neither significantly increased the likelihood of stable remission or recovery, beyond the moderate to high levels observed among patients who did not relapse.

Ten ways to improve the treatment of depression and anxiety in adults

Complaints of depression and anxiety are very common among adult patients seeking treatment in primary care settings, and primary care providers prescribe the majority of medications for these conditions. Psychiatrists are often asked to evaluate and manage patients with major depression or anxiety disorders who have not improved after treatment in primary care. We highlight ten frequently overlooked aspects of the care of patients who present with depression and anxiety in primary care. Chief among these aspects is the consideration of a thorough differential diagnosis, particularly bipolar disorder, psychotic disorders, dementia and substance abuse, each of which requires specific treatment approaches. Additional considerations include avoidance of medications or doses that may aggravate anxiety symptoms and regular follow-ups to assess symptomatic and functional improvement. Finally, it is important to actively manage the treatment through dose escalation, switching medications or employing additional treatment components until remission is achieved. Judicious use of benzodiazepine clonazepam and appropriate referrals to psychotherapy can contribute to optimal treatment outcomes.