A prediction model for electroconvulsive therapy effectiveness in patients with major depressive disorder from the Dutch ECT Consortium (DEC).

Reliable predictors for electroconvulsive therapy (ECT) effectiveness would allow a more precise and personalized approach for the treatment of major depressive disorder (MDD). Prediction models were created using a priori selected clinical variables based on previous meta-analyses. Multivariable linear regression analysis was used, applying backwards selection to determine predictor variables while allowing non-linear relations, to develop a prediction model for depression outcome post-ECT (and logistic regression for remission and response as secondary outcome measures). Internal validation and internal-external cross-validation were used to examine overfitting and generalizability of the model's predictive performance. In total, 1892 adult patients with MDD were included from 22 clinical and research cohorts of the twelve sites within the Dutch ECT Consortium. The final primary prediction model showed several factors that significantly predicted a lower depression score post-ECT: higher age, shorter duration of the current depressive episode, severe MDD with psychotic features, lower level of previous antidepressant resistance in the current episode, higher pre-ECT global cognitive functioning, absence of a comorbid personality disorder, and a lower level of failed psychotherapy in the current episode. The optimism-adjusted R² of the final model was 19%. This prediction model based on readily available clinical information can reduce uncertainty of ECT outcomes and hereby inform clinical decision-making, as prompt referral for ECT may be particularly beneficial for individuals with the above-mentioned characteristics. However, despite including a large number of pretreatment factors, a large proportion of the variance in depression outcome post-ECT remained unpredictable.

Prognostic Factors and Incidence for Postictal Agitation After Electroconvulsive Therapy: A Systematic Review and Meta-analysis.

ABSTRACT: Postictal agitation (PIA) is an adverse effect of electroconvulsive therapy (ECT) and is known to predict other side effects of ECT, but inconsistencies in the literature remain regarding PIA prognostic factors and incidence. Therefore, a systematic review and meta-analysis were conducted (1) to identify prognostic factors for PIA following ECT and (2) to elucidate the diverse incidences of PIA following ECT based on demographic and clinical characteristics. Specifically, electronic databases were searched for retrospective observational studies and randomized controlled trials (RCTs) that objectively reported PIA incidence. Additional inclusion criteria encompassed studies involving patients 18 years or older and allowed for the extraction of PIA prognostic factors. This resulted in the inclusion of 21 articles with 66,047 patients in total. A total of 35 prognostic factors were identified for PIA after ECT, consisting of 8 anesthesia-related, 19 patient-related, and 8 ECT-related prognostic factors. A meta-analysis was conducted for 7 prognostic factors. None of the prognostic factors demonstrated a significant effect on reducing or increasing PIA incidence. Mean PIA was 13.9% (18.0% adjusted) at the patient level and 12.4% (16.5% adjusted) at the session level. Overall risk of bias was generally moderate to low, except in the outcome measurement domain, where 43% of the studies had a high risk of bias. Although none of the prognostic factors in meta-analysis were significant, several other prognostic factors consistently indicated increased or decreased risk, providing direction for future research. A scarcity of (high-quality) data emphasizes the need for additional research on this topic to be conducted.

The Relationship of Early Sleep Improvement With Response to Pharmacotherapy in Unipolar Psychotic Depression.

BACKGROUND: Since insomnia and depression are interrelated, improved sleep early in antidepressant pharmacotherapy may predict a positive treatment outcome. We investigated whether early insomnia improvement (EII) predicted treatment outcome in psychotic depression (PD) and examined if there was an interaction effect between EII and treatment type to assess if findings were treatment-specific. METHODS: This study is a secondary analysis of a randomized trial comparing 7 weeks treatment with the antidepressants venlafaxine, imipramine and venlafaxine plus the antipsychotic quetiapine in PD ( n = 114). Early insomnia improvement, defined as ≥20% reduced insomnia after 2 weeks, was assessed by the Hamilton Rating Scale for Depression (HAM-D-17). Associations between EII and treatment outcome were examined using logistic regressions. Subsequently, we added interaction terms between EII and treatment type to assess interaction effects. The predictive value of EII was compared with early response on overall depression (≥20% reduced HAM-D-17 score after 2 weeks). RESULTS: EII was associated with response (odds ratio [OR], 7.9; 95% confidence interval [CI], 2.7-23.4; P = <0.001), remission of depression (OR, 6.1; 95% CI, 1.6-22.3; P = 0.009), and remission of psychosis (OR, 4.1; 95% CI, 1.6-10.9; P = 0.004). We found no interaction effects between EII and treatment type on depression outcome. Early insomnia improvement and early response on overall depression had a comparable predictive ability for treatment outcome. CONCLUSIONS: Early insomnia improvement was associated with a positive outcome in pharmacotherapy of PD, regardless of the medication type. Future studies are needed to confirm our findings and to examine the generalizability of EII as predictor in treatment of depression.

Clinical characteristics associated with relapse 2 years after electroconvulsive therapy for major depression.

OBJECTIVE: High relapse rates are observed after electroconvulsive therapy (ECT) for major depression. Identifying patients who are at increased risk for relapse to intensify their treatment regimen post-ECT might reduce relapse rates. We aimed to determine clinical characteristics that are associated with relapse within 2 years after successful ECT. METHODS: Patients who remitted to ECT in a randomised controlled trial comparing adjuvant nortriptyline and placebo during a course of bilateral ECT were followed-up prospectively for 1 year with open-label nortriptyline (Dutch Trial Register NTR5579). Second-year follow-up data were collected retrospectively. Thirty-four patients were included in this follow-up cohort. To examine the association between clinical characteristics and the risk of relapse, unadjusted hazard ratios (HRs) were calculated. RESULTS: At 2 years post-ECT, the overall relapse rate was 50%, and the HRs for relapse in patients with psychotic features, a higher severity of depression, and medication resistance prior to ECT were 0.33 (CI 0.12-0.89; p = 0.029), 0.88 (CI 0.80-0.98; p = 0.014), and 4.48 (CI 1.28-15.73, p = 0.019), respectively. No effect was found for age, sex or episode duration on the relapse rate. CONCLUSIONS: Depressed patients with psychotic features, with higher symptom severity and without medication resistance prior to ECT have a significantly decreased risk of relapse after successful ECT. A sustained remission rate of 50% over 2 years in patients with severe major depression who were treated with nortriptyline monotherapy after successful ECT is encouraging.

Influence of adjuvant nortriptyline on the efficacy of electroconvulsive therapy: A randomized controlled trial and 1-year follow-up.

OBJECTIVE: There is limited evidence that adding an antidepressant to electroconvulsive therapy (ECT), compared with ECT monotherapy, improves outcomes. We aimed to determine whether the addition of nortriptyline to ECT enhances its efficacy and prevents post-ECT relapse. METHODS: We conducted a randomized, double-blind, placebo-controlled trial (RCT). Patients with major depressive disorder and an indication for ECT received either nortriptyline or placebo during a bilateral ECT course. Outcome measures were mean decrease in Hamilton Rating Scale for Depression (HRSD) score, response, remission, and time to response and remission. Patients who attained remission participated in a 1-year follow-up study with open-label nortriptyline. Outcome measures were relapse and time to relapse. RESULTS: We included 47 patients in the RCT. In the nortriptyline group, 83% showed response, 74% attained remission, and the mean decrease in HRSD score was 21.6 points. In the placebo group these figures were, respectively, 81% (p = 0.945), 73% (p = 0.928) and 20.7 points (p = 0.748). Thirty-one patients participated in the follow-up study. In patients who had received nortriptyline during the RCT, 47% relapsed at a mean of 34.2 weeks. Patients who had received placebo showed similar treatment results. In both study phases, no statistically significant differences between the nortriptyline and the placebo group were found. CONCLUSION: In our sample of severely depressed patients who were often medication resistant and suffering from psychotic depression, the addition of nortriptyline to ECT did not enhance its efficacy or prevent post-ECT relapse. Encouragingly, even in these patients ECT was highly effective and relapse rates were relatively low.

The prescriber's guide to classic MAO inhibitors (phenelzine, tranylcypromine, isocarboxazid) for treatment-resistant depression.

This article is a clinical guide which discusses the "state-of-the-art" usage of the classic monoamine oxidase inhibitor (MAOI) antidepressants (phenelzine, tranylcypromine, and isocarboxazid) in modern psychiatric practice. The guide is for all clinicians, including those who may not be experienced MAOI prescribers. It discusses indications, drug-drug interactions, side-effect management, and the safety of various augmentation strategies. There is a clear and broad consensus (more than 70 international expert endorsers), based on 6 decades of experience, for the recommendations herein exposited. They are based on empirical evidence and expert opinion-this guide is presented as a new specialist-consensus standard. The guide provides practical clinical advice, and is the basis for the rational use of these drugs, particularly because it improves and updates knowledge, and corrects the various misconceptions that have hitherto been prominent in the literature, partly due to insufficient knowledge of pharmacology. The guide suggests that MAOIs should always be considered in cases of treatment-resistant depression (including those melancholic in nature), and prior to electroconvulsive therapy-while taking into account of patient preference. In selected cases, they may be considered earlier in the treatment algorithm than has previously been customary, and should not be regarded as drugs of last resort; they may prove decisively effective when many other treatments have failed. The guide clarifies key points on the concomitant use of incorrectly proscribed drugs such as methylphenidate and some tricyclic antidepressants. It also illustrates the straightforward "bridging" methods that may be used to transition simply and safely from other antidepressants to MAOIs.

Influence of an adjuvant antidepressant on the efficacy of electroconvulsive therapy: A systematic review and meta-analysis.

OBJECTIVE: The primary indication for electroconvulsive therapy is medication-resistant major depression. There is some evidence that combining electroconvulsive therapy with an antidepressant, instead of electroconvulsive therapy monotherapy, might improve remission rates. However, data on this topic have not been systematically studied. We undertook a systematic review and meta-analysis to determine the effectiveness of an adjuvant antidepressant during electroconvulsive therapy for major depression. METHODS: Embase, Medline Ovid, Web of Science, Cochrane Central, PsychINFO Ovid and Google Scholar were searched up to January 2019. Randomized controlled trials and cohort studies reporting on the influence of an adjuvant antidepressant on the efficacy of electroconvulsive therapy for major depression were included. Authors independently screened records, extracted data and assessed study quality. We reported this systematic review and meta-analysis following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. RESULTS: Nine studies were included in the meta-analysis. The meta-analysis revealed a significant advantage of adjuvant antidepressants versus placebo. The overall effect size per category of antidepressant was as follows: tricyclic antidepressants: Hedges' g 0.32 (95% confidence interval: [0.14, 0.51]) (k = 6) with low heterogeneity (I2: 4%, p = 0.39); selective serotonin reuptake inhibitors/serotonin noradrenaline reuptake inhibitors: Hedges' g 0.27 (95% confidence interval: [0.03, 0.52]) (k = 2) with a lack of heterogeneity (I2: 0%, p = 0.89); and monoamine oxidase inhibitors: Hedges' g 0.35 (95% confidence interval: [-0.07, 0.77]) with moderate heterogeneity (I2: 43%, p = 0.17) (k = 3). CONCLUSION: An adjuvant antidepressant enhances the efficacy of electroconvulsive therapy for major depression. Tricyclic antidepressants, selective serotonin reuptake inhibitors/serotonin noradrenaline reuptake inhibitors and monoamine oxidase inhibitors showed the same effect size. However, the effect sizes of tricyclic antidepressants and monoamine oxidase inhibitors are most likely underestimated, due to insufficient doses in most of the included studies. We recommend the routine use of an adequately dosed antidepressant during electroconvulsive therapy for major depression.

Performance of the Psychotic Depression Assessment Scale as a Predictor of ECT Outcome.

OBJECTIVES: The presence of psychotic symptoms is an important predictor of responsiveness to electroconvulsive therapy (ECT). This study investigates whether a continuous severity measure, the Psychotic Depression Assessment Scale (PDAS), is a more accurate predictor. METHODS: Depression severity was assessed before and after the ECT course using the Montgomery-Asberg Depression Rating Scale (MADRS) in 31 patients with psychotic depression and 34 depressed patients without psychotic symptoms. Logistic regression models for MADRS response and remission were fitted, with either the PDAS total score or the dichotomous predictors "absence/presence of psychotic symptoms" as the independent variables. Age, episode duration, and treatment resistance were added as covariates. RESULTS: Both the asserted presence of psychotic symptoms and a higher PDAS total score reflected MADRS response (areas under the curve, 0.83 and 0.85, respectively), with MADRS remission also being predicted by the presence of psychotic symptoms and higher PDAS scores (areas under the curves, 0.86 and 0.84, respectively). Age was a contributor to these prediction models, with response and remission rates being highest in the older patients. Psychotic Depression Assessment Scale scores decreased significantly during ECT: at end point, 81.5% of the patients showed significant response and 63.9% had achieved remission. CONCLUSIONS: The PDAS indeed accurately predicts response to and remission after ECT in (psychotic) depression and most pronouncedly so in older patients but seems to have no clear advantage over simply verifying the presence of psychotic symptoms. This could be the consequence of a ceiling effect, as ECT was extremely effective in patients with psychotic depression.ClinicalTrials.gov: Identifier: NCT02562846.

Prediction of Electroconvulsive Therapy Response and Remission in Major Depression: Meta-analysis - CORRIGENDUM.

This notice describes a correction to the above mentioned paper.

Prediction of electroconvulsive therapy response and remission in major depression: meta-analysis.

BACKGROUND: Electroconvulsive therapy (ECT) is considered to be the most effective treatment in severe major depression. The identification of reliable predictors of ECT response could contribute to a more targeted patient selection and consequently increased ECT response rates. Aims To investigate the predictive value of age, depression severity, psychotic and melancholic features for ECT response and remission in major depression. METHOD: A meta-analysis was conducted according to the PRISMA statement. A literature search identified recent studies that reported on at least one of the potential predictors. RESULTS: Of the 2193 articles screened, 34 have been included for meta-analysis. Presence of psychotic features is a predictor of ECT remission (odds ratio (OR) = 1.47, P = 0.001) and response (OR = 1.69, P < 0.001), as is older age (standardised mean difference (SMD) = 0.26 for remission and 0.35 for response (P < 0.001)). The severity of depression predicts response (SMD = 0.19, P = 0.001), but not remission. Data on melancholic symptoms were inconclusive. CONCLUSIONS: ECT is particularly effective in patients with depression with psychotic features and in elderly people with depression. More research on both biological and clinical predictors is needed to further evaluate the position of ECT in treatment protocols for major depression. Declaration of interest None.

The Maudsley Staging Method as predictor of electroconvulsive therapy effectiveness in depression.

OBJECTIVE: To investigate the potential role of the Maudsley Staging Method (MSM) in the prediction of electroconvulsive therapy (ECT) outcome in severely depressed adults. METHOD: Between August 2015 and August 2017, 73 consecutive patients with a major depressive episode (DSM-IV-TR) scheduled for ECT were recruited. Prior to their first ECT session, the MSM was completed to assess the level of therapy resistance. To determine the reduction in depression severity and response and remission rates, symptom severity was assessed at baseline and within one week after the last ECT session using the 17-item Hamilton Depression Rating Scale (HDRS17). RESULTS: The percentage of symptom reduction following ECT was best predicted by the MSM episode duration and depression severity factors (R2 completer sample 0.24). Episode duration alone was the best predictor of remission (area under the ROC curve for completers: 0.72). Adding age to the models increased their predictive capacity. CONCLUSION: An adapted version of the MSM gauging shorter episode duration, more severe depressive symptoms and older age is significantly associated with ECT effectiveness in adults with severe recurrent depression and is thus highly suitable for use in clinical practice, promoting the shared treatment decision-making process.

Observer-rated retardation but not agitation corresponds to objective motor measures in depression.

OBJECTIVE: To explore the correlations between observer ratings and instrumental parameters across domains of psychomotor functioning in depression. METHOD: In total, 73 patients with major depressive disorder underwent extensive psychomotor and clinical testing. Psychomotor functioning was assessed with (i) an observer-rated scale (the CORE measure) and also objectively with (ii) 24-h actigraphy, and (iii) a fine motor drawing task. RESULTS: Observer ratings of retardation correlated with instrumental assessments of fine and gross motor functioning. In contrast, observer ratings of agitation did not correlate with observer ratings of retardation or with the instrumental measures. These associations were partly influenced by age and, to a lesser extent, by depression severity. CONCLUSION: Psychomotor disturbance is a complex concept with different manifestations in depressed patients. Although observer ratings of retardation correspond well with instrumental measures of the motor domains, objective measurement of agitation and other aspects of psychomotor disturbance require further research.

[Atypical presentation of depression leading to delay in treatment]. / Atypische presentatie van depressie leidend tot vertraging in de behandeling.

Major depression can present with atypical symptomatology and as a consequence, delay can occur in passing through the relevant algorithm for biological treatment. The case of a 62-year old female is presented who eventually was diagnosed with a major depressive episode, with psychotic features. The atypical presentation led to persistent diagnostic uncertainty both during outpatient treatment in several mental health care institutions and during inpatient observation. As a consequence, proceeding to the next step of the algorithm for biological treatment for major depression was delayed. Factors involved in this diagnostic uncertainty are discussed.

Distinguishing Subgroups Based on Psychomotor Functioning among Patients with Major Depressive Disorder.

BACKGROUND: Retardation and agitation are symptoms of major depressive disorder (MDD), and their presence could play a role in determining clinically meaningful depressive subtypes such as nonmelancholic depression (NMD) and melancholic depression (MD). In this project, we explored whether three depression subgroups (NMD, MD with psychotic symptoms, and MD without psychotic symptoms) could be distinguished based on objective measures of psychomotor functioning. METHODS: Sixty-nine patients with MDD underwent extensive clinical and psychomotor testing prior to treatment with electroconvulsive therapy. Psychomotor functioning was assessed subjectively using the Core Assessment of Psychomotor Change (CORE) and objectively by means of both 24-h actigraphy and performance on a fine motor drawing task. RESULTS: The daytime activity levels measured by actigraphy were significantly lower (F = 7.1, p = 0.0004) in MD patients both with and without psychotic symptoms than in those with NMD. No objective psychomotor variable was able to distinguish between melancholic patients with and those without psychotic symptoms. CONCLUSIONS: The depression subtypes NMD, MD with psychotic symptoms, and MD without psychotic symptoms are not marked by increasing psychomotor retardation, possibly because psychomotor disturbance in MD with psychotic symptoms often consists of agitation rather than retardation, or a mixture of the two. However, psychomotor functioning as measured by actigraphy can be used to distinguish between NMD patients and MD patients.

S100B Serum Levels Predict Treatment Response in Patients with Melancholic Depression.

BACKGROUND: There is an ongoing search for biomarkers in psychiatry, for example, as diagnostic tools or predictors of treatment response. The neurotrophic factor S100 calcium binding protein B (S100B) has been discussed as a possible predictor of antidepressant response in patients with major depression, but also as a possible biomarker of an acute depressive state. The aim of the present study was to study the association of serum S100B levels with antidepressant treatment response and depression severity in melancholically depressed inpatients. METHODS: After a wash-out period of 1 week, 40 inpatients with melancholic depression were treated with either venlafaxine or imipramine. S100B levels and Hamilton Depression Rating Scale (HAM-D) scores were assessed at baseline, after 7 weeks of treatment, and after 6 months. RESULTS: Patients with high S100B levels at baseline showed a markedly better treatment response defined as relative reduction in HAM-D scores than those with low baseline S100B levels after 7 weeks (P=.002) and 6 months (P=.003). In linear regression models, S100B was a significant predictor for treatment response at both time points. It is of interest to note that nonresponders were detected with a predictive value of 85% and a false negative rate of 7.5%. S100B levels were not associated with depression severity and did not change with clinical improvement. CONCLUSIONS: Low S100B levels predict nonresponse to venlafaxine and imipramine with high precision. Future studies have to show which treatments are effective in patients with low levels of S100B so that this biomarker will help to reduce patients' burden of nonresponding to frequently used antidepressants.

Efficacy of Tranylcypromine in Bipolar Depression: A Systematic Review.

OBJECTIVE: Currently, there is a paucity of treatment options with limited efficacy for bipolar depression. The monoamine oxidase inhibitor tranylcypromine might be an effective form of treatment. The current systematic review reassesses the efficacy and safety of tranylcypromine in bipolar depression. METHODS: For this systematic review comparing tranylcypromine with placebo or active comparators in bipolar depression, relevant randomized controlled trials were identified from systematic searches of PubMed, EMBASE, and Cochrane library databases. A manual search of the references of the included studies was also performed. RESULTS: Four studies with a total of 145 participants were identified. Response rates were higher in patients treated with tranylcypromine (60.0%-80.7%; overall response rate, 73.7%) compared with placebo, imipramine, and lamotrigine (the latter as add-on to a mood stabilizer) (12.9%-47.6%; overall response rate, 27.5%). The overall switch rate was 6.3% for patients treated with tranylcypromine and 18.4% for patients in the control group. CONCLUSIONS: This systematic review provides evidence for the efficacy and safety of tranylcypromine treatment in bipolar depression. Additional research is required to establish the efficacy of tranylcypromine as add-on to a mood stabilizer.

The dexamethasone suppression test as a biomarker for suicidal behavior: A systematic review and meta-analysis.

BACKGROUND: The dexamethasone suppression test (DST), which measures HPA-axis functioning, is a potential biomarker for suicidal behavior. The current study aimed (a) to synthesize available knowledge on the association between DST non-suppression and suicidal behavior, and (b) to study potential moderators. METHODS: A total of 4236 studies were screened, 43 were included. Suicide attempts and suicide completion were studied separately. The meta-analysis included 37 effect sizes for suicide attempts (n = 3733) and 11 effect sizes for suicide completion (n = 1626). RESULTS: DST non-suppression was associated with completed suicide (odds ratio (OR) = 2.10, (95 % CI [1.37, 3.23]). For suicide attempts, we found no evidence that DST status was associated in the overall meta-analysis including all patient samples. However, moderator analysis indicated that the DST status was associated with suicide attempts in patient samples that included psychopathology other than just mood disorders, such as psychotic, substance use and personality disorders (OR = 2.34, 95 % CI [1.39-3.93], k = 11). LIMITATIONS: The potential influence of publication bias and exclusion of some relevant published studies (since effect sizes could not be calculated, authors could not supply data or authors could not be reached) are limitations. Furthermore, missing moderator data decreased our ability to explain heterogeneity between studies. CONCLUSIONS: The results of this meta-analysis support the hypothesis that DST non-suppression is predictive of suicidal behavior. More research is needed to investigate optimal cut-off values, confounding factors and the potential usefulness of the DST in clinical practice in terms of personalized medicine.

A genetic risk score to predict treatment nonresponse in psychotic depression.

Psychotic depression is a severe and difficult-to-treat subtype of major depressive disorder for which higher rates of treatment-resistant depression were found. Studies have been performed aiming to predict treatment-resistant depression or treatment nonresponse. However, most of these studies excluded patients with psychotic depression. We created a genetic risk score (GRS) based on a large treatment-resistant depression genome-wide association study. We tested whether this GRS was associated with nonresponse, nonremission and the number of prior adequate antidepressant trials in patients with a psychotic depression. Using data from a randomized clinical trial with patients with a psychotic depression (n = 122), we created GRS deciles and calculated positive prediction values (PPV), negative predictive values (NPV) and odds ratios (OR). Nonresponse and nonremission were assessed after 7 weeks of treatment with venlafaxine, imipramine or venlafaxine plus quetiapine. The GRS was negatively correlated with treatment response (r = -0.32, p = 0.0023, n = 88) and remission (r = -0.31, p = 0.0037, n = 88), but was not correlated with the number of prior adequate antidepressant trials. For patients with a GRS in the top 10%, we observed a PPV of 100%, a NPV of 73.7% and an OR of 52.4 (p = 0.00072, n = 88) for nonresponse. For nonremission, a PPV of 100%, a NPV of 51.9% and an OR of 21.3 (p = 0.036, n = 88) was observed for patients with a GRS in the top 10%. Overall, an increased risk for nonresponse and nonremission was seen in patients with GRSs in the top 40%. Our results suggest that a treatment-resistant depression GRS is predictive of treatment nonresponse and nonremission in psychotic depression.