A factor analytic comparison of three commonly used depression scales (HAMD, MADRS, BDI) in a large sample of depressed inpatients.

BACKGROUND: Quantifying depression mainly relies on the use of depression scales, and understanding their factor structure is crucial for evaluating their validity. METHODS: This post-hoc analysis utilized prospectively collected data from a naturalistic study of 1014 inpatients with major depression. Confirmatory and exploratory factor analyses were performed to test the psychometric abilities of the Hamilton Depression Rating Scale, the Montgomery Asberg Depression Rating Scale, and the self-rated Beck Depression Inventory. A combined factor analysis was also conducted including all items of all scales. RESULTS: All three scales showed good to very good internal consistency. The HAMD-17 had four factors: an "anxiety" factor, a "depression" factor, an "insomnia" factor, and a "somatic" factor. The MADRS also had four factors: a "sadness" factor, a neurovegetative factor, a "detachment" factor and a "negative thoughts" factor, while the BDI had three factors: a "negative attitude towards self" factor, a "performance impairment" factor, and a "somatic" factor. The combined factor analysis suggested that self-ratings might reflect a distinct illness dimension within major depression. CONCLUSIONS: The factors obtained in this study are comparable to those found in previous research. Self and clinician ratings are complementary and not redundant, highlighting the importance of using multiple measures to quantify depression.

Parkinson and depression: review and outlook.

Depression in Parkinson's Disorder (DPD) has been estimated to appear in up to 40% of people with PD and negatively impacts quality of life, motor and cognitive deficits and functional disability. Knowledge of the pathophysiology of DPD is unclear, DPD may be related to dysfunction in subcortical nuclei and the prefrontal cortex, striatal-thalamic-prefrontal and basotemporal limbic circuits, brainstem monoamine, and indolamine (i.e. dopamine, serotonin, and norepinephrine) systems. DPD is characterized by sadness, loss of interest, increased exhaustibility, feelings of helplessness, reduced drive, dysphoria, irritability, and pessimism about future. The diagnosis is complicated by overlap with PD symptoms, Detection of depression in PD should be made by psychometric depression scales. DPD is underrecognized and undertreated in clinical practice. Treatment mainly includes antidepressive medications and behavioral interventions as psychotherapy. Dopamine agonists showed some antidepressant effects, there are no sufficient numbers of RCTs. Important randomized clinical trials (RCTs) are summarized. SSRIs and SNRIs have a satisfying efficacy in DPD. TCAs are also good for improving depression. Side effects of different antidepressants (e.g. TCAs, SSRIs, SNRIs, bupropion, MAOIs) and potential interactions should be considered. In existing guidelines so far no statements, algorithms and recommendations are given for diagnosis and treatment of DPD. Methodologically adequate designed RCTs and comparative studies (NIS) which offer evidence-based results are urgently needed having the impact of DPD in mind.

Driving Performance Under Treatment of Most Frequently Prescribed Drugs for Mental Disorders: A Systematic Review of Patient Studies.

BACKGROUND: Mobility is important for daily life functioning, with particular challenges regarding road safety under pharmacological treatment in patients with a psychiatric disease. METHODS: According to PRISMA guidelines, a systematic literature search on PubMed database (January 1970 to December 2020) was performed. Primary endpoints were driving performance in on-road tests, driving simulator performance, or psychomotor and visual perception functions assessed to estimate fitness to drive according to legal regulations in patient studies. RESULTS: Forty studies were identified (1533 patients, 38% female, median age 45 years), of which more than 60% were cross-sectional and open-label trials. Under steady-state medication, 31% (range 27%-42.5%) of schizophrenic or schizoaffective patients under antipsychotics and 18% (range 16%-20%) of unipolar and bipolar patients under antidepressants showed severe impairment in skills relevant for driving. Data point to an advantage of second-generation antipsychotics compared with first-generation antipsychotics as well as modern antidepressants over tricyclic antidepressants with respect to driving. Most patients significantly improved or stabilized in driving skills within 2-4 weeks of treatment with non-sedative or sedative antidepressants. Diazepam significantly worsened driving the first 3 weeks after treatment initiation, whereas medazepam (low dose), temazepam, and zolpidem did not impair driving. In long-term users of sedating antidepressants or benzodiazepines, impairments in on-road tests were not evident. CONCLUSION: The available evidence suggests that psychopharmacologic medicines improve or at least stabilize driving performance of patients under long-term treatment when given on clinical considerations. To enhance treatment compliance, existing classification systems of medicinal drugs concerning impact on driving performance should also incorporate information about effects of long-term-treatment.

Combining machine learning algorithms for prediction of antidepressant treatment response.

OBJECTIVES: Predictors for unfavorable treatment outcome in major depressive disorder (MDD) applicable for treatment selection are still lacking. The database of a longitudinal multicenter study on 1079 acutely depressed patients, performed by the German research network on depression (GRND), allows supervised and unsupervised learning to further elucidate the interplay of clinical and psycho-sociodemographic variables and their predictive impact on treatment outcome phenotypes. EXPERIMENTAL PROCEDURES: Treatment response was defined by a change of HAM-D 17-item baseline score ≥50% and remission by the established threshold of ≤7, respectively, after up to eight weeks of inpatient treatment. After hierarchical symptom clustering and stratification by treatment subtypes (serotonin reuptake inhibitors, tricyclic antidepressants, antipsychotic, and lithium augmentation), prediction models for different outcome phenotypes were computed with random forest in a cross-center validation design. In total, 88 predictors were implemented. RESULTS: Clustering revealed four distinct HAM-D subscores related to emotional, anxious, sleep, and appetite symptoms, respectively. After feature selection, classification models reached moderate to high accuracies up to 0.85. Highest accuracies were observed for the SSRI and TCA subgroups and for sleep and appetite symptoms, while anxious symptoms showed poor predictability. CONCLUSION: Our results support a decisive role for machine learning in the management of antidepressant treatment. Treatment- and symptom-specific algorithms may increase accuracies by reducing heterogeneity. Especially, predictors related to duration of illness, baseline depression severity, anxiety and somatic symptoms, and personality traits moderate treatment success. However, prospectives application of machine learning models will be necessary to prove their value for the clinic.

What happens with schizophrenia patients after their discharge from hospital? Results on outcome and treatment from a "real-world" 2-year follow-up trial.

Aim of the study was to examine the course of schizophrenia patients within 2 years after discharge. Within a multicenter study of the German Competence Network on Schizophrenia, patients suffering from a schizophrenia spectrum disorder were examined regarding their psychopathological improvement, tolerability, and the treatment regime applied during hospitalization and a 2-year follow-up period. Response, remission, the level of everyday functioning, and relapse were furthermore evaluated during the follow-up period using established definitions for these outcome domains. The psychopharmacological treatment was specifically evaluated in terms of a potential association with relapse. 149 patients were available for analysis, with 65% of the patients being in response, 52% in symptomatic remission, and 64% having a satisfiable everyday functioning 2 years after their discharge from hospital. Despite these favorable outcome rates, 63% of the patients suffered from a relapse within the 2-year follow-up period with 86% of these patients being rehospitalized. Discharge non-responder and non-remitter were twice as likely to relapse during follow-up. A significant decrease of side-effects was observed with negligible rates of extrapyramidal side-effects, sedation, and weight gain during follow-up. Patients receiving treatment with atypical antipsychotics were found to have the lowest risk to relapse (p < 0.0001). The results highlight the natural and unsteady course of schizophrenia in most patients underlining the need to develop more specific treatment strategies ensuring ongoing stability and preventing relapse.

Comparing Schizophrenia Patients With a Predicted High/Low Risk of Nonresponse Receiving Treatment with Ziprasidone and Haloperidol: A Randomized-Controlled Study.

INTRODUCTION: The aim of this double-blind randomized study was to evaluate the response to antipsychotic treatment in schizophrenia patients with predicted high/low risk of nonresponse identified by applying a set of well-established scales and predictors of outcome and to compare efficacy between ziprasidone and haloperidol. METHODS: One hundred twelve schizophrenia patients (ziprasidone: n=54; haloperidol: n=58) were rated weekly on the Positive and Negative Syndrome Scale for Schizophrenia (PANSS), the Global Assessment of Functioning Scale (GAF), the Social and Occupational Functioning Scale (SOFAS), the Simpson-Angus Scale (SAS), and Hillside Akathisia Scale (HAS). RESULTS: Ninety-two patients (82%) were predicted to have a high risk of nonresponse. No significant difference regarding PANSS improvement in this subsample was found comparing ziprasidone and haloperidol (p=0.563). Also, for the total patient sample, no significant difference was found regarding the course of the PANSS total score, GAF (p=0.921), and SOFAS (p=0.658) between ziprasidone and haloperidol. Haloperidol resulted in higher scores on the SAS (p=0.001) and HAS (p=0.011). DISCUSSION: An alarmingly high number of patients were at high risk of nonresponse to antipsychotic treatment.

[Therapeutic drug monitoring in neuropsychopharmacology : Summary of the consensus guidelines 2017 of the TDM task force of the AGNP]. / Therapeutisches Drug-Monitoring in der Neuropsychopharmakologie : Zusammenfassung der Konsensusleitlinien 2017 der TDM-Arbeitsgruppe der AGNP.

Therapeutic drug monitoring (TDM) is the quantification and interpretation of drug concentrations in blood serum or plasma to optimize pharmacological therapy. TDM is an instrument with which the high interindividual variability of pharmacokinetics of patients can be identified and therefore enables a personalized pharmacotherapy. In September 2017 the TDM task force of the Working Group for Neuropsychopharmacology and Pharmacopsychiatry (AGNP) published an update of the consensus guidelines on TDM published in 2011. This article summarizes the essential statements for the clinical practice in psychiatry and neurology.

How Effective Is Algorithm-Guided Treatment for Depressed Inpatients? Results from the Randomized Controlled Multicenter German Algorithm Project 3 Trial.

Background: Treatment algorithms are considered as key to improve outcomes by enhancing the quality of care. This is the first randomized controlled study to evaluate the clinical effect of algorithm-guided treatment in inpatients with major depressive disorder. Methods: Inpatients, aged 18 to 70 years with major depressive disorder from 10 German psychiatric departments were randomized to 5 different treatment arms (from 2000 to 2005), 3 of which were standardized stepwise drug treatment algorithms (ALGO). The fourth arm proposed medications and provided less specific recommendations based on a computerized documentation and expert system (CDES), the fifth arm received treatment as usual (TAU). ALGO included 3 different second-step strategies: lithium augmentation (ALGO LA), antidepressant dose-escalation (ALGO DE), and switch to a different antidepressant (ALGO SW). Time to remission (21-item Hamilton Depression Rating Scale ≤9) was the primary outcome. Results: Time to remission was significantly shorter for ALGO DE (n=91) compared with both TAU (n=84) (HR=1.67; P=.014) and CDES (n=79) (HR=1.59; P=.031) and ALGO SW (n=89) compared with both TAU (HR=1.64; P=.018) and CDES (HR=1.56; P=.038). For both ALGO LA (n=86) and ALGO DE, fewer antidepressant medications were needed to achieve remission than for CDES or TAU (P<.001). Remission rates at discharge differed across groups; ALGO DE had the highest (89.2%) and TAU the lowest rates (66.2%). Conclusions: A highly structured algorithm-guided treatment is associated with shorter times and fewer medication changes to achieve remission with depressed inpatients than treatment as usual or computerized medication choice guidance.

Driving skills in unmedicated first- and recurrent-episode schizophrenic patients.

The present study was designed to examine driving skills according to regulations of the German guidelines for road and traffic safety in unmedicated schizophrenic inpatients. A total of 13 first-episode (FES) and 13 recurrent-episode (RES) schizophrenic inpatients were included in the analysis and compared with a group of 20 healthy controls (HC). Data were collected with the computerised Wiener Testsystem measuring visual perception, reactivity and stress tolerance, concentration and vigilance. Analysis of data indicates that a great proportion (58 %) of schizophrenic patients were impaired in psychomotor functions related to driving skills. FES and RES significantly differed with respect to driving ability with a greater proportion in the FES (38 %) showing severe impairments when compared with RES (25 %). Differences with respect to HC performance were most pronounced in concentration and for the FES additionally in visual perception. Analysis of our data indicates that a great proportion of schizophrenic patients are impaired in psychomotor functions related to driving skills that cannot be attributed to adverse side effects of psychopharmacological treatment. Besides, we cannot confirm a chronical decline of psychomotor functions related to driving skills at least in the early course of schizophrenic illness.

Validity of remission and recovery criteria for schizophrenia and major depression: comparison of the results of two one-year follow-up naturalistic studies.

The objective of the present study was the application and comparison of common remission and recovery criteria between patients with the diagnosis of schizophrenia and major depressive disorder (MDD) under inclusion of other outcome parameters. Patients with schizophrenia and MDD who were treated as inpatients at the beginning of the study were examined within two naturalistic follow-up trials from admission to discharge of an inpatient treatment period and the one-year follow-up assessment. PANSS criteria of the Remission in Schizophrenia Working Group (RSWG) for schizophrenia and HAMD criteria of the ACNP Task Force in MDD for depressive patients as well as the Clinical Global Impression-Severity Scale (CGI-S) were applied as symptomatic outcome measures additionally to functional outcome parameters. Data of 153 schizophrenia patients and 231 patients with a MDD episode have been included in the analysis. More depressive than schizophrenia patients reached a threshold score of ≤3 on the CGI-S, indicating symptomatic remission at discharge and at the one-year follow-up. In contrast similar proportions of patients reaching symptomatic remission at discharge from inpatient treatment and at the one-year follow-up in the schizophrenia and in the MDD group were found when disease-related consensus criteria (RSWG vs. ACNP Task Force) were used. Functional remission and recovery rates were significantly lower in schizophrenia than in depressive patients at the one-year follow-up visit. Common outcome criteria for remission and recovery in schizophrenia and major depression were not directly comparable. However, our results indicated a significantly poorer outcome in schizophrenia than in depressive patients according to terms of remission and recovery.

Driving Under the Influence of Antidepressants: A Systematic Review and Update of the Evidence of Experimental and Controlled Clinical Studies.

Introduction This review provides an update of experimental and clinical studies on the effects of antidepressants on driving performance. Methods A systematic literature search on the PubMed database (1980-2016) was performed. Results Twenty-eight studies could be included in this review, whereas only 5 studies investigated driving performance under antidepressants in patients. Most tri- and tetracyclics have acute deleterious effects on driving performance that, except for mianserin, attenuate after subchronic use. Selective serotonin reuptake inhibitors and the serotonin norepinephrine reuptake inhibitor's venlafaxine and milnacipran did not affect driving ability. Trazodone appears to have dose-related acute effects on driving skills. Acute use of mirtazapine does produce impairments that diminish when given as a nocturnal dose and cannot be seen in healthy subjects when initially given as a low dose or after repeated dosing. Additive effects with alcohol were most pronounced with sedating antidepressants. Most patients definitely benefit from treatment with newer antidepressants with respect to driving skills. Discussion Much more patient studies are needed to elucidate a crucial question: from which antidepressant treatment do patients benefit most with respect to driving performance?

Add-on Antidepressants in the Naturalistic Treatment of Schizophrenia Spectrum Disorder - When, Who, and How?

The aim of this study was to evaluate antidepressant add-on treatment within the acute treatment of schizophrenia spectrum disorder patients. Antidepressant add-on was evaluated in 365 patients within a naturalistic multicenter study. Patients with/without antidepressant add-on were compared regarding clinical and treatment-related variables, response and remission, and remission of depressive and negative symptoms. The efficacy of antidepressant add-on treatment was furthermore analyzed applying marginal structure models. Twenty-three percent of the patients received antidepressant add-on for a mean duration of 50.28 (33.42) days. Patients with the diagnosis of a schizoaffective disorder, multiple illness episodes, and a longer duration of their illness as well as those with significantly fewer baseline positive symptoms, more negative and depressive symptoms, more side effects, and less subjective well-being were augmented with antidepressants. At discharge no significant effect of antidepressant add-on treatment was observed in terms of a 25% improvement (p=0.2623), a 50% improvement (p=0.3946), remission (p=0.0552), or remission of depressive (p=0.6336) and negative symptoms (p=0.8756). Also, when analyzing marginal structure models considering the diagnostic subgroups, no significant effect was found. Add-on with antidepressants is common. A final recommendation in terms of this strategy's efficacy cannot be given.

Update Psychopharmacotherapy. / Aktuelles zur Psychopharmakotherapie.

Despite unmet meeds regarding efficacy, tolerability and time of onset and the high importance of mental disorders very few new psychotropics have been introduced in Germany recently. Lurasidon and the new multimodal antidepressant vortioxetine demonstrating clinical efficacy in the improvement of cognition have been withdrawn from the German market due to economic reasons based on an official committee judgement "missing additional benefit". Among new substances introduced are the selective opioid modulator nalmefene for reduction of alcohol consumption, the selective alpha-2-receptor agonist guanfacine for ADHS treatment in child and youth psychiatry, the older antidepressant milnacipran and the glucagon-like-peptide-1-receptor agonist liraglutide for treatment of adipositas. In the USA the atypical antipsychotics cariprazine and brexpiprazole have been released. The introduction of the long acting depot antipsychotics aripiprazole (1 month) and paliperidone (3 months) can be seen as major progress in the treatment of schizophrenia. Loxapine is available as inhalative antipsychotic for rapid treatment of agitation in schizophrenia and mania. Atypical antipsychotics like quetiapine are recommended now as add-on treatment for therapy-resistant depressions. Ketamine and botulinum toxin are in experimental use as antidepressants. The development of psychotropics is long lasting and costly and made even more difficult by negative medial attitudes additionally. Constructive resolving attempts are needed urgently to avoid a standstill in the development of psychotropic drugs.

Stability of remission rates in a 3-year follow-up of naturalistic treated depressed inpatients.

BACKGROUND: Remission is a common outcome of short-term trials and the main goal of acute and longterm treatment. The longitudinal stability of remission has rarely been investigated under naturalistic treatment conditions. METHODS: Naturalistic multisite follow-up study. Three-year symptomatic long-term outcome of initially hospitalized tertiary care patients (N = 784) with major depressive episodes. Remission rates as well as the switch rates between remission and non-remission were reported. RESULTS: After one, two and three years 62 %, 59 % and 69 % of the observed patients met criteria for remission. During the follow-up 88 % of all patients achieved remission. 36 % of maintained remission from discharge to 3-years, 12 % of all patients never reached remission and 52 % percent showed a fluctuating course switching from remission to non-remission and vice versa. There was considerable transition between remission and non-remission. For example, from discharge to 1 year, from 1 to 2, and from 2 to 3 years 25 %, 21 % and 11 % lost remission. CONCLUSION: Cumulative outcome rates are encouraging. Absolute rates at predefined endpoints as well as the fluctuations between these outcomes reflect the variable and chronic nature of major depression.

Mobility behaviour and driving status of patients with mental disorders - an exploratory study.

BACKGROUND: Driving is an important activity of daily life and an integral part of mobility. However, impact of mental illness on road mobility is widely unexplored. METHOD: Driving status in 1497 psychiatric inpatients (PPs) and a clinical control group of 313 neurological inpatients (NPs) was investigated using a brief questionnaire. RESULTS: 67% of PPs (89% NPs) reported to have a valid driver's licence and 77% of them (92% NPs) reported to regularly use their cars. Within driver's license holders, patients with organic mental disorder (32%), substance dependence (37%) and psychotic disorder (40%) had the lowest proportion of current drivers. Higher educational qualification (odds ratio [OR] from 2.978 to 17.036) and being married/partnered (OR 3.049) or divorced (OR 4.840) significantly advanced the probability of possession of a driving license. Predictive factors for driving cessation were being female, an older age, drawing a pension and having an organic mental disease or schizophrenic disorder. CONCLUSION: Mental disease has a negative impact on driving status and this is especially true for illnesses frequently being accompanied by distinct cognitive impairments. Factors predicting road mobility elucidate the strong relationship with psychosocial status indicating that recovery of driving competence should be an integral goal of treatment strategies.

What are residual symptoms in schizophrenia spectrum disorder? Clinical description and 1-year persistence within a naturalistic trial.

The aim of this study was to evaluate residual symptoms in patients achieving remission according to the consensus criteria and to analyze their potential influence on the patient's outcome one year after discharge. In total, 399 patients suffering from a schizophrenia spectrum disorder were evaluated within a naturalistic study. Remission status was examined using the consensus criteria. Residual symptoms were defined as any symptom present at the time-point of remission following analogous analyses performed in depressed patients. Therefore, a PANSS item with a symptom severity of >1 (= at least borderline mentally ill) was defined to be a residual symptom. Remitters with and without residual symptoms were compared regarding psychopathology, functioning and side effects. In total, 236 patients (59%) were remitters at discharge with 94% of them suffering from at least one residual symptom. The most common residual symptoms were blunted affect (49%), conceptual disorganization (42%) and social withdrawal (40%). A significant association was found between the presence of residual symptoms and the severity of side effects (p < 0.0001) and functioning (p = 0.0003) at discharge as well as between residual symptoms and the risk of relapse and chance of remission one year after discharge. Residual symptoms were highly prevalent in remitted schizophrenia inpatients following the suggested definition. Most residual symptoms were persistent baseline symptoms suggesting an ongoing illness severity. Also, the necessity to re-evaluate the consensus criteria questioning the status of remission in these patients is also pointed out.

Three-Year long-term outcome of 458 naturalistically treated inpatients with major depressive episode: severe relapse rates and risk factors.

In randomized controlled trials, maintenance treatment for relapse prevention has been proven to be efficacious in patients responding in acute treatment, its efficacy in long-term outcome in "real-world patients" has yet to be proven. Three-year long-term data from a large naturalistic multisite follow-up were presented. Severe relapse was defined as suicide, severe suicide attempt, or rehospitalization. Next to relapse rates, possible risk factors including antidepressant medication were identified using univariate generalized log-rank tests and multivariate Cox proportional hazards model for time to severe relapse. Overall data of 458 patients were available for analysis. Of all patients, 155 (33.6%) experienced at least one severe relapse during the 3-year follow-up. The following variables were associated with a shorter time to a severe relapse in univariate and multivariate analyses: multiple hospitalizations, presence of avoidant personality disorder, continuing antipsychotic medication, and no further antidepressant treatment. In comparison with other studies, the observed rate of severe relapse during 3-year period is rather low. This is one of the first reports demonstrating a beneficial effect of long-term antidepressant medication on severe relapse rates in naturalistic patients. Concomitant antipsychotic medication may be a proxy marker for treatment resistant and psychotic depression.

Subgroup analysis of the non-interventional study VIVALDI: agomelatine in treatment-naïve patients, in combination therapy and after treatment switch.

OBJECTIVE: Agomelatine has demonstrated antidepressant efficacy in randomized, controlled trials. This non-interventional study VIVALDI evaluated agomelatine treatment under practice conditions. METHODS: Psychiatrists documented the treatment of 3,317 patients over 12 weeks. According to the treatment condition three subgroups were selected: Agomelatine in treatment-naïve patients as mono-therapy (A), in pretreated patients as add-on-therapy (B), and in pretreated patients switched to agomelatine (C). Effect on depressive symptoms was evaluated via svMADRS and CGI. Daytime functioning and sleep-wake rhythm were assessed by a patient-questionnaire. RESULTS: The svMADRS decreased from values > 30 at baseline to 12.8 (total population), 10.3 (A), 15.1 (B), and 13.5 (C). 76.1%, 55.7%, and 62.5% of patients were responders in subgroups A, B, and C, respectively, 65.8% in the total population. Remission was achieved in 66.5% (A), 44.7% (B), and 50.9% (C) of patients. After 12 weeks, subjective sleep quality and daytime functioning improved in the majority of patients. Adverse drug reactions (ADR/serious ADR) were reported for 6.0%/0% (A), 11.0%/0.2% (B), and 12.6%/0.3% (C) of patients. Overall, 25.8% of patients discontinued treatment prematurely, 5.2% due to ADR. CONCLUSION: Agomelatine improved depressive symptoms, daytime functioning, and sleep-wake rhythm, and demonstrated good tolerability also in pretreated patients and combination therapy under routine practice.