Antipsychotic-induced weight gain (AIWG) is a common adverse event in schizophrenia. Genome-wide association studies (GWAS) and polygenic risk scores (PRS) for other diseases or traits are recent approaches to disentangling the genetic architecture of AIWG. 200 patients with schizophrenia treated monotherapeutically with antipsychotics were included in this study. A multiple linear regression analysis with ten-fold crossvalidation was performed to predict the percentage weight change after five weeks of treatment. Independent variables were sex, age, body mass index (BMI) at baseline, medication-associated risk, and PRSs (BMI, schizophrenia, diabetes, and metabolic syndrome). An explorative GWAS analysis was performed on the same subjects and traits. PRSs for BMI (β = 3.78; p = 0.0041), schizophrenia (β = 5.38; p = 0.021) and diabetes type 2 (β = 13.4; p = 0.046) were significantly associated with AIWG. Other significant factors were sex, baseline BMI and medication. Compared to the model without genetic factors, the addition of PRSs for BMI, schizophrenia, and diabetes type 2 increased the goodness of fit by 6.5 %. The GWAS identified the association of three variants (rs10668573, rs10249381 and rs1988834) with AIWG at a genome-wide level of p < 1 · 10-6. Using PRS for schizophrenia, BMI, and diabetes type 2 increased the explained variation of predicted weight gain, compared to a model without PRSs. For more precise results, PRSs derived from other traits (ideally AIWG) should be investigated. Potential risk variants identified in our GWAS need to be further investigated and replicated in independent samples.

Background: Despite being recommended for use in clinical trials, the consensus remission criteria were found to leave patients with persisting symptoms, relevant areas of functional impairment and a decreased sense of wellbeing. Therefore, to evaluate the appropriateness of the schizophrenia consensus criteria, a definition of remission based on the Clinical Global Impression Scale (CGI) was developed and remitter subgroups were compared. Methods: 239 patients with a schizophrenia spectrum disorder were evaluated regarding their remission status after inpatient treatment. Remission in schizophrenia was defined according to the symptom-severity component of the consensus criteria by Andreasen et al. and a CGI based definition was calculated using sensitivity and specificity using receiver operating curves (asymptomatic remitter). Both remitter groups (schizophrenia consensus versus asymptomatic remitters) were compared regarding different clinical variables at discharge as well as the likelihood to relapse within a 1-year follow-up period. Both schizophrenia remitter subgroups were compared to remitters in major depression as a reference value. Results: Following the consensus criteria, 63% of the schizophrenia patients were in remission compared to only 18% following the asymptomatic criterion. The schizophrenia consensus remitters were less likely to be concurrent treatment responders (p < 0.0001), had a significantly greater illness severity (p < 0.0001) and less functioning (p = 0.0358) as well as a significantly greater risk to relapse (p = 0.0174) compared to the schizophrenia asymptomatic remitters as well as the depressed remitters. Conclusion: It should be critically re-evaluated if the currently proposed consensus criteria are adequate to measure what is traditionally understood to be remission. (C) 2019 Elsevier B.V. All rights reserved.

Cognitive deficits are increasingly recognized as a core dimension rather than a consequence of schizophrenia (SCZ). The previous evidence supports the hypothesis of shared genetic factors between SCZ and cognitive ability. The objective of this study was to test whether and to what extent the variation of disease-relevant neurocognitive function in a sample of SCZ patients from the previous clinical interventional studies can be explained by SCZ polygenic risk scores (PRSs) or by hypothesis-driven and biomedical PRSs. The previous studies have described associations of the SNAP25 gene with cognition in SCZ. Likewise, the enrichment of several calcium signaling-related gene sets has been reported by genome-wide association studies (GWAS) in SCZ. Hypothesis-driven PRSs were calculated on the basis of the SNAP-25 interactome and also for genes regulated by phorbol myristate acetate (PMA), an activator of the signal transduction of protein kinase C (PKC) enzymes. In a cohort of 127 SCZ patients who had completed a comprehensive neurocognitive test battery as part of the previous antipsychotic intervention studies, we investigated the association between neurocognitive dimensions and PRSs. The PRS for SCZ and SNAP-25-associated genes could not explain the variance of neurocognition in this cohort. At a p value threshold of 0.05, the PRS for PMA was able to explain 2% of the variance in executive function (p = 0.05, uncorrected). The correlation between the PRS for PMA-regulated genes and cognition can give hints for further patient-derived cellular assays. In conclusion, incorporating biological information into PRSs and other en masse genetic analyses may help to close the gap between genetic vulnerability and the biological processes underlying neuropsychiatric diseases such as SCZ.

Pharmacogenetic studies on cognitive effects of currently available antipsychotics, although in relatively early stages, suggest that the treatment of cognitive deficits in schizophrenia can be advanced toward a more precise future decision of antipsychotic treatment for individual needs."

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.

Antipsychotics are effective in treating schizophrenia but may lead to a higher cardiovascular risk due to QTc prolongation. Besides drugs, genetic and clinical factors may contribute to QTc prolongation. The aim of this study is to examine the effect of candidate genes known for QTc prolongation and their interaction with common antipsychotics. Thus, 199 patients were genotyped for nine polymorphisms in KCNQ1, KCNH2, SCN5A, LOC10537879, LOC101927066, NOS1AP and NUBPL. QTc interval duration was measured before treatment and weekly for 5 weeks while being treated with risperidone, quetiapine, olanzapine, amisulpride, aripiprazole and haloperidol in monotherapy. Antipsychotics used in this study showed a different potential to affect the QTc interval. We found no association between KCNH2, KCNQ1, LOC10537879, LOC101927066, NOS1AP and NUBPL polymorphisms and QTc duration at baseline and during antipsychotic treatment. Mixed general models showed a significant overall influence of SCN5A (H558R) on QTc duration but no significant interaction with antipsychotic treatment. Our results do not provide evidence for an involvement of candidate genes for QTc duration in the pathophysiology of QTc prolongation by antipsychotics during short-term treatment. Further association studies are needed to confirm our findings. With a better understanding of these interactions the cardiovascular risk of patients may be decreased.

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.

Subtyping depression is important in order to further delineate biological causes of depressive syndromes. The aim of this study was to evaluate clinical and outcome characteristics of distinct subtypes of depression and to assess proportion and features of patients fulfilling criteria for more than one subtype. Melancholic, atypical and anxious subtypes of depression were assessed in a naturalistic sample of 833 inpatients using DSM-IV specifiers based on operationalized criteria. Baseline characteristics and outcome criteria at discharge were compared between distinct subtypes and their overlap. A substantial proportion of patients (16%) were classified with more than one subtype of depression, 28% were of the distinct anxious, 7% of the distinct atypical and 5% of the distinct melancholic subtype. Distinct melancholic patients had shortest duration of episode, highest baseline depression severity, but were more often early improvers; distinct anxious patients had higher NEO-Five Factor Inventory (NEO-FFI) neuroticism scores compared with patients with unspecific subtype. Melancholic patients with overlap of anxious features had worse treatment outcome compared to distinct melancholic and distinct anxious subtype. Distinct subtypes differed in only few variables and patients with overlap of depression subtypes may have independent clinical and outcome characteristics. Studies investigating biological causes of subtypes of depression should take influence of features of other subtypes into account.

Introduction: NEUROD2 is a neurospecific helix-loop-helix transcription factor which has an impact on the regulation ofglutamatergic and GABAergic genes. We investigated an association of NEUROD2 with neurocognitive dysfunctions in schizophrenia and schizoaffective disorder patients before and during treatment with different second-generation antipsychotics.Methods: Patients were genotyped for four different polymorphisms of the NEUROD2 gene ((rs9889354(A/G), rs1877032(C/T), rs12453682(C/T) and rs11078918(C/G)). Cognitive function was assessed at baseline and week 8.Results of individual neuropsychological tests were assigned to six cognitive domains (reaction time and quality; executive function; working, verbal and visual memory) and a general cognitive index.Results: 167 patients were included in the study. The NEUROD2 exonic polymorphism rs11078918 showed significant associations with verbal memory and executive functions, whereas the NEUROD2 polymorphism rs12453682 was significantly associated with working and verbal memory, executive functions and with a cognitive index. Significant associations were found at baseline and after eight weeks. Moreover, significant associations between the change in neuropsychological test results during antipsychotic treatment and the NEUROD2 polymorphisms rs11078918 and rs12453682 were observed.Conclusions: Our findings suggest that the NEUROD2 gene could play a role in the pathophysiology of neurocognitive dysfunctions as well as in the change of cognitive symptoms under antipsychotic treatment in schizophrenia and schizoaffective disorder.

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.

Significant changes of schizophrenia patients during inpatient treatment were evalutaed and compared to established outcome criteria. The concept of reliable and clinically significant change methods was applied to three hundred and ninety‐six patients suffering from a schizophrenia spectrum disorder. First, information on whether or not the change of the patient's condition is sufficient in order to declare that it is beyond a measurement error or random effect (= reliable change) was evaluated and in a second step it was observed if the reliable change was clinically meaningful (= clinically significant change). Different Positive and Negative Syndrome Scale for Schizophrenia (PANSS) thresholds were applied to define the clinically significant change (40, 45 and 50 points). These changes were then compared to established outcome criteria such as response and remission. Seventy‐nine of the 396 patients (20%) showed a reliable improvement of symptoms, whereas 70% improved without achieving a reliable change of their condition. Of the 79 patients achieving a reliable change during treatment 8‐15% concurrently showed a clinically significant change depending on the respective PANSS threshold. In contrast, 56% of the patients achieved response and 60% were in remission at discharge when applying established outcome criteria. Our results showed that a rather small number of schizophrenia patients were found to reliably change during inpatient treatment, with even less patients achieving a clinically significant change. The concept of reliable and clinically significant changes revealed to be a lot more stringent than today's established outcome criteria and should be critically evaluated regarding its use in schizophrenia patients. Copyright © 2015 John Wiley & Sons, Ltd.

Corrigendum to “Pleckstrin homology domain containing 6 protein (PLEKHA6) polymorphisms are associated with psychopathology and response to treatment in schizophrenic patients” [Prog Neuro-Psychopharmacol Biol Psychiatry 51 (2014) 190–195] Ilja Spellmann⁎, Dan Rujescu, Richard Musil, Sebastian Meyer, Ina Giegling, Just Genius, Peter Zill, Sandra Dehning, Anja Cerovecki, Florian Seemuller, Rebecca Schennach, Annette M. Hartmann, Martin Schafer, Norbert Muller, Hans-Jurgen Moller, Michael Riedel a Ludwig-Maximilian-University of Munich, Department of Psychiatry and Psychotherapy, Nusbaumstrasse 7, 80336 Munich, Germany b Bezirkskrankenhaus Kaufbeuren, Department of Psychiatry and Psychotherapy, Kemnater Str. 16, 87600 Kaufbeuren, Germany c Martin Luther University of Halle-Wittenberg, Department of Psychiatry and Psychotherapy, Halle (Saale), Germany d LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Germany e Vinzenz-von-Paul-Hospital, Rottweil, Germany Progress in Neuro-Psychopharmacology & Biological Psychiatry 58 (2015) 106

Objective Long-term results in schizophrenia treatment continue to be unsatisfactory, with many patients nonadherent to treatment and relapsing frequently. This study aimed to examine how perceived nonadherence leads psychiatrists to implement adherence-enhancing measures and to identify barriers and facilitators for the implementation of adherence-enhancing measures. Methods A cross-sectional survey was conducted with German hospital psychiatrists and their inpatients who had a diagnosis of schizophrenia or schizoaffective disorder. Results Interviews were conducted with 121 psychiatrists or resident psychiatrists and their 213 inpatients. Psychiatrists recognized nonadherence as an important factor for hospital admission only when directly asked about it. Psychiatrists implemented a plethora of adherence interventions that in many cases constituted only intensive talks and no structured interventions. Of four core interventions addressed in the survey—depot administration of medication, psychoeducation for patients, psychoeducation for relatives, and arrangement of first follow-up visit—the implementation rates were surprisingly high for depot prescription of antipsychotics (>30%) and psychoeducation for patients but dramatically low for arrangement of follow-up visits and psychoeducation for relatives. Patients with poor previous adherence (according to the physician's estimate) received more adherence measures. In addition, patients with involuntary admission were more likely to receive depot medications, and psychoeducation was more often implemented for younger patients and for patients at university hospitals. Conclusions Treatment nonadherence is often underestimated by psychiatrists. Obstacles to the implementation of adherence-enhancing interventions occur in routine daily care. Integrated-care programs addressing adherence issues, communication between inpatient and outpatient treatment, implementation of adherence measures, and better involvement of patients in clinical decisions may help to overcome these barriers.

Pleckstrin homology domain (PH domain) comprises approximately 120 amino acids and is integrated in a wide range of proteins involved in intracellular signaling or as constituents of the cytoskeleton. This domain can bind phosphatidylinositol (3,4,5)-triphosphate and phosphatidylinositol (4,5)-biphosphate and proteins such as the βγ-subunits of heterotrimeric G proteins and protein kinase C. Associations with psychiatric diseases have not been investigated yet. To identify genes involved in response to antipsychotics, mice were treated with haloperidol (1 mg/kg, n = 11) or saline (n = 12) for one week. By analyzing microarray data, we observed an increase of pleckstrin homology domain containing 6 (PLEKHA6) gene expression. Furthermore, we genotyped 263 schizophrenic patients, who were treated monotherapeutically with different antipsychotics within randomized-controlled trials. Psychopathology was measured weekly using the PANSS for a minimum of four and a maximum of twelve weeks. Correlations between PANSS subscale scores at baseline and PANSS improvement scores after four weeks of treatment and genotypes were calculated by using a linear model for all investigated SNPs. We found associations between four PLEKHA6 polymorphisms (rs17333933 (T/G), rs3126209 (C/T), rs4951338 (A/G) and rs100900571 (T/C)) and different PANSS subscales at baseline. Furthermore two different polymorphisms (rs7513240 (T/C), rs4951353 (A/G)) were found to be associated with therapy response in terms of a significant correlation with different PANSS improvement subscores after four weeks of antipsychotic treatment. Our observation of an association between genetic polymorphisms of a protein of the PH domain and psychopathology data in schizophrenic patients might be indicative for an involvement of PLEKHA6 in the pathophysiology of schizophrenia and the therapy response towards antipsychotics.

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.

Background Antipsychotic-induced weight gain (AIWG) is a major drawback in the treatment of schizophrenic patients with second-generation antipsychotics (SGAs). Pharmacogenetic studies have established several polymorphisms in genes of different pathways contributing to the development of weight gain in schizophrenic patients. However interactions of genetic polymorphisms and clinical predictors have not been studied extensively enough to reliable predict weight gain before initiating antipsychotic treatment. Methods We analyzed several single-nucleotide polymorphisms (SNPs) of candidate genes (e.g. APOA, GHRL, SNAP-25, LDLR, LPL, INSIG2, Resistin, 5HTR2C, MC4R) and clinical predictors (e.g. age gender, BMI at baseline, number of episodes, pretreatment, PANSS-scores) in a sample of 259 (n=138 for regression analyses) schizophrenic patients participating in different monotherapeutic trials of atypical antipsychotics (risperidone, olanzapine, quetiapine, amisulpride, aripiprazole) with up to six weeks of treatment. We used Univariate tests, regression analysis and Classification and Regression-Tree (CART)-analysis to determine relevant clinical and genetic predictors and their interactions. Results We found younger age, male gender and weight at baseline as strongest clinical predictors. APOA variants and the Resistin -420 C/G rs1862513 polymorphism were associated with weight gain in the overall patient sample. Heterocygotic GC-allele carriers (n=53) gained less weight (1 kg) compared to 2,2 kg in homocygotic G-allele carriers (n=76) ( p p =0.09). The Resistin -420 C/G rs1862513 polymorphism showed significant interaction in patients treated with risperidone ( p 0.0001) and amisulpride ( p =0.0006) in a model adjusted for all clinical predictors. CART-analyses support to some extend the relevance of the Resistin polymorphism. Discussion In this sample we found a polymorphism in the Resistin gene (-420 C/G rs1862513) to potentially contribute to AIWG. CART-analysis shows interactions of several clinical predictors and this polymorphism. Our approach of combining clinical and genetic predictors may help to identify subgroups of patients a priori of SGA treatment in order to reduce development of severe weight gain. Further investigations on larger samples are necessary to confirm our results.

Factors contributing to treatment-emergent suicidal ideation (TESI) using antidepressants have been in the focus of recent research strategies. We investigated previously established clinical predictors of TESI and combined these with several polymorphisms of candidate genes in patients with major depressive disorder. Common polymorphisms involved in the tryptophan hydroxylase 1 (TPH1) and 2 (TPH2), serotonin transporter, monoamine oxidase A (MAOA) and brain-derived neurotrophic factor (BDNF) were investigated in a naturalistic inpatient study of the German research network on depression. We compared patients showing TESI with non-TESI suicidal patients and with non-suicidal patients using univariate tests to detect relevant factors, which were further tested in logistic regression and CART (Classification and Regression Trees) analyses. Of the 269 patients, TESI occurred in 22 patients (17 female), 117 patients were defined as non-TESI suicidal patients, and 130 patients were classified as non-suicidal. When comparing cases with both control groups we found the TPH2 rs1386494 (C/T) polymorphism to be moderately associated with TESI (Univariate tests: TESI vs. non-suicidality: p=0.005; adjusted: p=0.09; TESI vs. non-TESI suicidal patients: p=0.0024; adjusted: p=0.086). This polymorphism remained the only significant genetic factor in addition to clinical predictors in logistic regression and CART analyses. CART analyses suggested interactions with several clinical predictors. Haplotype analyses further supported a contribution of this polymorphism in TESI. The TPH2 rs1386494 (C/T) polymorphism might contribute to the genetic background of TESI. This polymorphism has been previously associated with committed suicide and major depressive disorder. The small number of cases warrants replication in larger patient samples. Lack of a placebo control group hampers definite conclusions on an association with antidepressive treatment.

The role of the brain-derived neurotrophic factor (BDNF) in the pathophysiology of major depressive disorder (MDD) remains to be elucidated. Recent post hoc analyses indicated a potential association of three polymorphisms in the BDNF gene with worse treatment outcome in patients with the subtype of melancholic depression. We aimed at replicating these findings in a German naturalistic multicenter follow-up. Three polymorphisms in the BDNF gene (rs7103411, rs6265 (Val66Met) and rs7124442) were genotyped in 324 patients with MDD and 470 healthy controls. We applied univariate tests and logistic regression models stratifying for depression subtype and gender. The three polymorphisms were not associated with MDD as diagnosis. Further, no associations were found in univariate tests. With logistic regression, we only found a tendency towards an association of the rs6265 (Val66Met) polymorphism with overall response to treatment (response rates: GG (val/val) < GA (val/met) < AA (met/met); p = 0.0129) and some gender differences for the rs6265 (Val66Met) and rs7103411 polymorphisms. Treatment outcome stratified for subtypes of depression did not differ significantly between the investigated polymorphisms or using haplotype analyses. However, results showed a tendency towards significance. At this stage, we cannot support an influence of these three polymorphisms. Further studies in larger patient samples to increase sample sizes of subgroups are warranted.

BACKGROUND:Self-ratings of psychotic experiences might be biased by depressive symptoms.METHOD:Data from a large naturalistic multicentre trial on depressed inpatients (n=488) who were assessed on a biweekly basis until discharge were analyzed. Self-rated psychotic symptoms as assessed with the 90-Item Symptom Checklist (SCL-90) were correlated with the SCL-90 total score, the SCL-90 depression score, the Beck Depression Inventory (BDI), the Hamilton Depression Rating Scale 21 item (HAMD-21) total score, the Montgomery Åsberg Depression Rating Scale (MADRS) total score and the clinician-rated paranoid-hallucinatory score of the Association for Methodology and Documentation in Psychiatry (AMDP) scale.RESULTS:At discharge the SCL-90 psychosis score correlated highest with the SCL-90 depression score (0.78, P<0.001) and with the BDI total score (0.64, P<0.001). Moderate correlations were found for the MADRS (0.34, P<0.001), HAMD (0.37, P<0.001) and AMDP depression score (0.33, P<0.001). Only a weak correlation was found between the SCL-90 psychosis score and the AMDP paranoid-hallucinatory syndrome score (0.15, P<0.001). Linear regression showed that change in self-rated psychotic symptoms over the treatment course was best explained by a change in the SCL-90 depression score (P<0.001). The change in clinician-rated AMDP paranoid-hallucinatory score had lesser influence (P=0.02).CONCLUSIONS:In depressed patients self-rated psychotic symptoms correlate poorly with clinician-rated psychotic symptoms. Caution is warranted when interpreting results from epidemiological surveys using self-rated psychotic symptom questionnaires as indicators of psychotic symptoms. Depressive symptoms which are highly prevalent in the general population might influence such self-ratings.

Against the background of the growing evidence that the patient's functioning significantly influences the course and outcome of schizophrenia, the aims of this analysis were to examine what proportion of patients achieve functional outcome criteria after 1 year, and to identify clinical and sociodemographic predictive factors for functional remission. Patients with the diagnosis of schizophrenia who were treated as inpatients at the beginning of the study were examined within a naturalistic follow-up trial. The present study reports on the time frame from admission to discharge of an inpatient treatment period and the 1-year follow-up assessment. The Global Assessment of Functioning (GAF) Scale and Social and Occupational Functioning Assessment Scale (SOFAS) were evaluated with respect to functional outcome, whereas Positive and Negative Syndrome Scale (PANSS) scores were rated as psychopathological outcome measures. Functional remission thresholds were defined according to a GAF score of ≥61 points and a SOFAS score ≥61 points. Symptomatic remission criteria were applied according to the remission criteria of the Schizophrenia Working Group. The Strauss–Carpenter Prognostic Scale (SCPS), the Phillips Premorbid Adjustment Scale, medical history, sociodemographic and psychopathologic parameters were evaluated in order to find valuable predictors for functional remission. One year after discharge from inpatient treatment, 211 out of 474 patients were available for analysis according to both rating scales used to assess functional remission (GAF and SOFAS). Forty-seven percent of patients fulfilled criteria for functional remission (GAF and SOFAS) at discharge and 51% of patients at the 1-year follow-up visit. With regard to symptomatic remission criteria, the corresponding remitter rates were 61% of patients at discharge and 54% at the 1-year follow-up visit. Forty-two percent of patients fulfilled both remission criteria at discharge and 37% at the 1-year follow-up visit. A significant association was found between functional and symptomatic remission at discharge and at the 1-year follow-up visit. The strongest predictors for functional remission at the 1-year follow-up visit were: a higher SCPS total score at admission, a lower number of previous hospitalizations, a status of employment, lower scores in all PANSS subscales at discharge, a better premorbid social adjustment, the occurrence of a first psychotic episode, a younger age, a lower PANSS negative subscore at admission, a status of being an early responder, a shorter duration of inpatient treatment, a later age of onset, and female gender.