Schizoaffective disorder--an ongoing challenge for psychiatric nosology

Clozapine as a mood stabiliser for schizoaffective disorder: Effectiveness during a three-month follow-up

Clozapine has shown signs of effectiveness in treating symptoms of schizoaffective disorder, although little research has been carried out to specifically assess this question. The objective of this current work was to analyse the mood-stabilising effectiveness and tolerability of clozapine in patients with schizoaffective disorder. This was a prospective, longitudinal, and quasi-experimental trial with three months of follow-up in patients with refractory schizoaffective disorder (PANSS score exceeding 80). Clinical response was evaluated through monthly visits using the YMRS, MADRS, CDSS, CGI-S and UKU. Twenty-seven participants (63% men, 37% women) with a mean age of 32.56 years were included. Clozapine significantly reduced the symptoms of mania, as measured by the YMRS (pre-treatment: 16.19, post-treatment: 0.67; p < 0.01) as well as the symptoms of depression, quantified with the CDSS (pre-treatment: 6.11, post-treatment: 0.67; p < 0.01), MADRS (pre-treatment: 9.56, post-treatment: 1.07; p < 0.01), and CGI-S (pre-treatment: 4.74, post-treatment: 1.15; p < 0.01). The prescription of clozapine significantly reduced the average daily dose of neuroleptics, measured in mg of chlorpromazine (pre-treatment: 1253.55, post-treatment: 742.59; p < 0.01) and hypnosedatives, measured in mg of diazepam (pre-treatment: 33.88, post-treatment: 5.74; p < 0.05) required in these patients. Patient-perceived tolerability, measured with the UKU, also improved during follow-up (pre-treatment: 12.89, post-treatment: 8.14; p < 0.01). The efficacy of clozapine was significant for the affective symptoms of schizoaffective disorder, thereby improving patient tolerability and permitting reductions in the other medications the patients used.

Diagnostic Stability in Psychiatric Patients From Hospital Admission to Discharge: A 10-Year Retrospective Study

OBJECTIVE

This study aimed to evaluate the consistency or stability of mental disorders diagnosed in the psychiatry ward setting, investigate factors associated with consistency, and observe the disease distribution over the decade.

METHODS

A total of 20,359 psychiatric inpatients were included in this retrospective study from June 2011 to December 2020. Diagnoses from the first admission to discharge were evaluated to determine the diagnostic consistency during hospitalization. Readmissions were selected as the subgroup, whose first and last discharge diagnoses were compared to analyze the relatively long-term diagnostic stability. Demographic and clinical characteristics were collected to identify predictors of diagnostic discrepancy.

RESULTS

From 2011-2020, the hospitalization rate decreased from 42.7% to 20.7% for schizophrenia and grew from 13.3% to 23.8% for depression. Diagnoses were retained by 92.6% of patients at their first discharge diagnosis, ranging from 100% for disorders of psychological development to 16.3% for unspecified mental disorders. About 33.9% of diagnostic conversions were to bipolar disorder in patients having inconsistent diagnoses. However, among rehospitalizations, the diagnostic stability notably dropped to 71.3%. For rehospitalizations, mood disorders and schizophrenia spectrum disorders were relatively stable diagnoses categories, with 72.6% to 76.7% of patients receiving the same diagnosis, although results of specified diagnoses within these categories ranged from 5.9% to 91.0%. Except for mood disorders and schizophrenia spectrum disorders, the diagnoses of all other categories were below 70%. Long lengths of hospitalization and old age were associated with short-term diagnosis alterations.

CONCLUSION

Longitudinal follow-up and integration of multiple aspects of information are essential for accurate diagnosis.

Schizophrenia or schizoaffective disorder? A 50-year assessment of diagnostic stability based on a national case registry

BACKGROUND

Schizoaffective disorder (SAD) remains a controversial diagnosis in terms of necessity and reliability.

OBJECTIVES

We assessed diagnostic patterns of SAD and schizophrenia (SZ) among hospitalized psychiatric patients over a fifty-year period.

METHOD

Data from the Israeli National Psychiatric Registry on 16,341 adults diagnosed with SZ or SAD, hospitalized at least twice in 1963-2017, were analyzed. Stability between most-frequent, first and last diagnosis, and diagnostic-constancy (the same diagnosis in >75 % of a person's hospitalizations) were calculated. Three groups were compared: People with both SAD and SZ diagnoses over the years (SZ-SAD), and people with only one of these diagnoses (SZ-only; SAD-only). The incidence of SAD and SZ before and after DSM-5 publication was compared.

RESULTS

Reliability between last and first diagnosis was 60 % for SAD and 94 % for SZ. Agreement between first and most-frequent diagnosis was 86 % for SAD and 92 % for SZ. Diagnostic shifts differ between persons with SAD and with SZ. Diagnostic-constancy was observed for 50 % of SAD-only patients. In the SZ-SAD group, 9 % had a constant SAD diagnosis. Compared to the other groups, the SZ-SAD group exhibited a higher substance use prevalence, younger age at first-hospitalization, and more hospitalizations/person (p < 0.0001). The incidence of a first-hospitalization SAD diagnosis increased by 2.2 % in the 4-years after vs. prior to DSM-5.

CONCLUSIONS

A SAD diagnosis is less stable than SZ. The incidence of a SAD diagnosis increased after DSM-5, despite stricter diagnostic criteria. The SZ-SAD group exhibited the poorest outcomes. SAD may evolve over time necessitating periodic re-evaluation.

Grouping affective psychoses in early intervention: Justification for specific treatment guidelines

The concept of affective psychosis regroups psychotic disorders with mood syndrome. Previous studies provided evidence to support a dichotomy between affective and non-affective psychoses although questions remain regarding the utility and validity of such a category to develop clinical guidelines. The aim of this study is to explore similarities and differences within affective psychoses to question whether strategies would apply to all the diagnoses falling under this umbrella term. Using Bayesian model comparison methods, we explored the homogeneity of the characteristics of first-episode affective patients (N = 77) treated in a specialized 3-year early intervention in psychosis programme. Our analysis revealed affective psychoses display many similarities regarding socio-demographic variables, the course of positive and manic symptoms over three years, and outcome at discharge. Our results did not support the heterogeneous model. However, despite no significant differences in the course of symptoms with the major depressive disorder group, the schizoaffective disorder group displayed a more severe clinical picture at the beginning of the programme and a poorer functional outcome than the two other groups. Absence of clear boundaries and the several similarities within affective psychoses suggest they can usefully be grouped to define treatment strategies that are easily legible by clinicians.

Alternative Diagnostic Models of the Psychotic Disorders: Evidence-Based Choices

Standard diagnostic systems, the predominantly categorical DSM-5 and ICD-11, have limitations in validity, utility, and predictive and descriptive power. For psychotic disorders, these issues were partly addressed in current versions, but additional modifications are thought to be needed. Changes should be evidence based. We reviewed categorical, modified-categorical, and continuum-based models versus factor-based models of psychosis. Factors are clusters of symptoms or single prominent aspects of illness. Consistent evidence from studies of the genetics, pathobiology, and clinical presentation of psychotic disorders all support an underlying structure of factors, not categories, as best characterizing psychoses. Factors are not only the best fit but also comprehensive, as they can encompass any key feature of illness, including symptoms and course, as well as determinants of risk or response. Factors are inherently dimensional, even multidimensional, as are the psychoses themselves, and they provide the detail needed for either grouping or distinguishing patients for treatment decisions. The tools for making factor-based diagnoses are available, reliable, and concordant with actual practices used for clinical assessments. If needed, factors can be employed to create categories similar to those in current use. In addition, they can be used to define unique groupings of patients relevant to specific treatments or studies of the psychoses. Lastly, factor-based classifications are concordant with other comprehensive approaches to psychiatric nosology, including personalized (precision treatment) models and hierarchical models, both of which are currently being explored. Factors might be considered as the right primary structural choice for future versions of standard diagnostic systems, both DSM and ICD.

A meta-analysis comparing cognitive function across the mood/psychosis diagnostic spectrum

BACKGROUND

The nature and degree of cognitive impairments in schizoaffective disorder is not well established. The aim of this meta-analysis was to characterise cognitive functioning in schizoaffective disorder and compare it with cognition in schizophrenia and bipolar disorder. Schizoaffective disorder was considered both as a single category and as its two diagnostic subtypes, bipolar and depressive disorder.

METHODS

Following a thorough literature search (468 records identified), we included 31 studies with a total of 1685 participants with schizoaffective disorder, 3357 with schizophrenia and 1095 with bipolar disorder. Meta-analyses were conducted for seven cognitive variables comparing performance between participants with schizoaffective disorder and schizophrenia, and between schizoaffective disorder and bipolar disorder.

RESULTS

Participants with schizoaffective disorder performed worse than those with bipolar disorder (g = -0.30) and better than those with schizophrenia (g = 0.17). Meta-analyses of the subtypes of schizoaffective disorder showed cognitive impairments in participants with the depressive subtype are closer in severity to those seen in participants with schizophrenia (g = 0.08), whereas those with the bipolar subtype were more impaired than those with bipolar disorder (g = -0.23) and less impaired than those with schizophrenia (g = 0.29). Participants with the depressive subtype had worse performance than those with the bipolar subtype but this was not significant (g = 0.25, p = 0.05).

CONCLUSION

Cognitive impairments increase in severity from bipolar disorder to schizoaffective disorder to schizophrenia. Differences between the subtypes of schizoaffective disorder suggest combining the subtypes of schizoaffective disorder may obscure a study's results and hamper efforts to understand the relationship between this disorder and schizophrenia or bipolar disorder.

Neurocognition in Bipolar and Depressive Schizoaffective Disorder: A Comparison with Schizophrenia

INTRODUCTION

Schizoaffective disorder (SA) is classified into bipolar (bSA) and depressive (dSA) subtypes. Although clinical differences between both have been reported, there is no clear information regarding their specific cognitive profile.

OBJECTIVE

To compare neurocognition between SA subtypes and schizophrenia (SC).

METHODS

A total of 61 patients were assessed and divided into 3 groups: 35 SC, 16 bSA, and 10 dSA. All participants signed an informed consent letter. The MATRICS Consensus Cognitive Battery, Central and South American version was used to assess neurocognition. The study was performed at the Instituto Nacional de Psiquiatría "Ramón de la Fuente". Participants were identified by specialized psychiatrists. Trained neuropsychologists carried out the clinical and cognitive assessment, which lasted 2 h approximately.

RESULTS

The cognitive assessment showed a significant difference in Trail Making Test part A subtest (F[2,58] = 4.043; p = 0.023]. Post hoc analyses indicated that dSA obtained a significantly higher score than SC (MD = -11.523; p = 0.018). The f test showed a large effect size (f = 0.401). No statistical differences were observed regarding other cognitive variables.

CONCLUSIONS

The cognitive profile of SA subtypes and SC is similar since no differences were found in most subtests. However, dSA may be less impaired than SC in measures of processing speed. Further research with larger samples must be conducted.

Clozapine in patients with schizoaffective disorder: A systematic review

Schizoaffective disorder is defined by the appearance of positive psychotic symptomatology as well as affective features, even when it is considered a controversial nosologic entity, proving difficult to accord on its definition or diagnostic criteria. Due to these conceptual differences, it has been a challenge to study effective therapeutic measures and, consequently, the availability of data in the current literature, resulting in the extrapolation of clinical guidelines and recommendations initially established for patients with schizophrenia or bipolar disorder. The current study aimed to systematically search and summarize the published evidence to date about the use of clozapine in patients with schizoaffective disorder. Seven studies were identified, that are heterogeneous on their designs and methodology, including samples of patients mixed with bipolar or schizophrenic disorders. The evidence was summarized both in a table and a narrative fashion, suggesting that clozapine may be an effective treatment for both psychotic and affective symptoms, indistinctively of an acute or maintenance phase.

The psychometric validity of the Montgomery-Åsberg Depression Rating Scale (MADRS) in recent onset schizophrenia spectrum disorders

Earlier recognition and accurate assessment of depressive symptoms is important to improving outcomes in individuals with recent-onset schizophrenia spectrum disorders (termed SSD hereafter)-regardless of whether positive psychotic symptoms are present or have resolved. The Montgomery-Åsberg Depression Rating Scale (MADRS) is frequently used to assess depressive symptoms in SSD, but no study has examined the psychometric validity of MADRS scores in individuals exclusively with SSD and sub-grouped by those with and without positive psychotic symptoms. This study involved baseline data from the Psychosis Recent Onset GRoningen Survey (PROGR-S). Measures used were: MADRS, depressive and negative subscales of Positive and Negative Syndrome Scale (PANSS_D, PANSS_N), and Schedules for Clinical Assessment in Neuropsychiatry (SCAN). The MADRS total score had sufficient concurrent validity with PANSS_D (evidence by ρ≥0.70), and insufficient divergent validity with PANSS_N (evidenced by ρ ≥0.30), in the full cohort and when sub-grouped by positive psychotic symptoms. In symptom networks, divergent communities comprising either MADRS or PANSS_N items were found, except the MADRS item inability to feel overlapped with PANSS_N items. The most divergent MADRS items were sadness, pessimism, and suicidal thoughts. The MADRS total score had sufficient predictive validity for determining caseness for MDD based on SCAN, but the optimal cut-off differed in those with and without positive psychotic symptoms (MADRS≥18 versus MADRS≥11). The MADRS has sufficient validity for assessing depressive symptoms in SSD. Since scores might depend upon symptoms of SSD, MADRS≥11 and the presence of sadness, pessimism, or suicidal ideation might be the best indicator of MDD in SSD.

A Synthetic Literature Review on the Management of Emerging Treatment Resistance in First Episode Psychosis: Can We Move towards Precision Intervention and Individualised Care?

Treatment resistance is prevalent in early intervention in psychosis services, and causes a significant burden for the individual. A wide range of variables are shown to contribute to treatment resistance in first episode psychosis (FEP). Heterogeneity in illness course and the complex, multidimensional nature of the concept of recovery calls for an evidence base to better inform practice at an individual level. Current gold standard treatments, adopting a ‘one-size fits all’ approach, may not be addressing the needs of many individuals. This following review will provide an update and critical appraisal of current clinical practices and methodological approaches for understanding, identifying, and managing early treatment resistance in early psychosis. Potential new treatments along with new avenues for research will be discussed. Finally, we will discuss and critique the application and translation of machine learning approaches to aid progression in this area. The move towards ‘big data’ and machine learning holds some prospect for stratifying intervention-based subgroups of individuals. Moving forward, better recognition of early treatment resistance is needed, along with greater sophistication and precision in predicting outcomes, so that effective evidence-based treatments can be appropriately tailored to the individual. Understanding the antecedents and the early trajectory of one’s illness may also be key to understanding the factors that drive illness course.

Auditory brainstem response (ABR) profiling in schizoaffective disorder

OBJECTIVE

The aim of the study was to assess whether the auditory brainstem response (ABR) profiling test for schizophrenia (SZ) would recognise schizoaffective disorder (SZA) patients as SZ or not.

METHOD

Male and female SZA patients (n = 16) from the psychosis unit at Uppsala University Hospital were investigated. Coded sets of randomised ABR recordings intermingled with patients with SZ, adult attention-deficit hyperactivity disorder (ADHD) and healthy controls were analysed by an independent party blinded to clinical diagnoses.

RESULTS

The ABR profiling test for SZ was positive in 5/16 patients (31%) and negative in 11/16 patients (69%) with SZA. A surprising finding was that 4/16 (25%) SZA patients were positive for the ABR profiling test for ADHD.

CONCLUSION

With the ABR profiling test, a minority of patients with SZA tested positive for SZ. In contrast, a majority (85%) of patients with SZ in a previous study tested positive. These preliminary results leave us ignorant whether SZA should be regarded as a SZ-like disorder or a psychotic mood disorder and add to the questions regarding the validity of this diagnostic entity. However, the ABR profiling method is still in its infancy and its exploration in a range of psychiatric disorders is warranted.

Clozapine in patients with schizoaffective disorder: A systematic review

Schizoaffective disorder is defined by the appearance of positive psychotic symptomatology as well as affective features, even when it is considered a controversial nosologic entity, proving difficult to accord on its definition or diagnostic criteria. Due to these conceptual differences, it has been a challenge to study effective therapeutic measures and, consequently, the availability of data in the current literature, resulting in the extrapolation of clinical guidelines and recommendations initially established for patients with schizophrenia or bipolar disorder. The current study aimed to systematically search and summarize the published evidence to date about the use of clozapine in patients with schizoaffective disorder. Seven studies were identified, that are heterogeneous on their designs and methodology, including samples of patients mixed with bipolar or schizophrenic disorders. The evidence was summarized both in a table and a narrative fashion, suggesting that clozapine may be an effective treatment for both psychotic and affective symptoms, indistinctively of an acute or maintenance phase.

Depressive psychopathology in first-episode schizophrenia spectrum disorders: a systematic review, meta-analysis and meta-regression

BACKGROUND

Despite knowing for many decades that depressive psychopathology is common in first-episode schizophrenia spectrum disorders (FES), there is limited knowledge regarding the extent and nature of such psychopathology (degree of comorbidity, caseness, severity) and its demographic, clinical, functional and treatment correlates. This study aimed to determine the pooled prevalence of depressive disorder and caseness, and the pooled mean severity of depressive symptoms, as well as the demographic, illness, functional and treatment correlates of depressive psychopathology in FES.

METHODS

This systematic review, meta-analysis and meta-regression was prospectively registered (CRD42018084856) and conducted in accordance with PRISMA and MOOSE guidelines.

RESULTS

Forty studies comprising 4041 participants were included. The pooled prevalence of depressive disorder and caseness was 26.0% (seven samples, N = 855, 95% CI 22.1-30.3) and 43.9% (11 samples, N = 1312, 95% CI 30.3-58.4), respectively. The pooled mean percentage of maximum depressive symptom severity was 25.1 (38 samples, N = 3180, 95% CI 21.49-28.68). Correlates of depressive psychopathology were also found.

CONCLUSIONS

At least one-quarter of individuals with FES will experience, and therefore require treatment for, a full-threshold depressive disorder. Nearly half will experience levels of depressive symptoms that are severe enough to warrant diagnostic investigation and therefore clinical intervention - regardless of whether they actually fulfil diagnostic criteria for a depressive disorder. Depressive psychopathology is prominent in FES, manifesting not only as superimposed comorbidity, but also as an inextricable symptom domain.

Predicting one-year outcome in first episode psychosis using machine learning

BACKGROUND

Early illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study objective is to use routinely collected baseline demographic and clinical characteristics to predict employment, education or training (EET) status, and symptom remission in patients with first episode psychosis (FEP) at one-year.

METHODS AND FINDINGS

83 FEP patients were recruited from National Health Service (NHS) Glasgow between 2011 and 2014 to a 24-month prospective cohort study with regular assessment of demographic and psychometric measures. An external independent cohort of 79 FEP patients were recruited from NHS Glasgow and Edinburgh during a 12-month study between 2006 and 2009. Elastic net regularised logistic regression models were built to predict binary EET status, period and point remission outcomes at one-year on 83 Glasgow patients (training dataset). Models were externally validated on an independent dataset of 79 patients from Glasgow and Edinburgh (validation dataset). Only baseline predictors shared across both cohorts were made available for model training and validation. After excluding participants with missing outcomes, models were built on the training dataset for EET status, period and point remission outcomes and externally validated on the validation dataset. Models predicted EET status, period and point remission with receiver operating curve (ROC) area under the curve (AUC) performances of 0.876 (95%CI: 0.864, 0.887), 0.630 (95%CI: 0.612, 0.647) and 0.652 (95%CI: 0.635, 0.670) respectively. Positive predictors of EET included baseline EET and living with spouse/children. Negative predictors included higher PANSS suspiciousness, hostility and delusions scores. Positive predictors for symptom remission included living with spouse/children, and affective symptoms on the Positive and Negative Syndrome Scale (PANSS). Negative predictors of remission included passive social withdrawal symptoms on PANSS. A key limitation of this study is the small sample size (n) relative to the number of predictors (p), whereby p approaches n. The use of elastic net regularised regression rather than ordinary least squares regression helped circumvent this difficulty. Further, we did not have information for biological and additional social variables, such as nicotine dependence, which observational studies have linked to outcomes in psychosis.

CONCLUSIONS AND RELEVANCE

Using advanced statistical machine learning techniques, we provide the first externally validated evidence, in a temporally and geographically independent cohort, for the ability to predict one-year EET status and symptom remission in individual FEP patients.

The ICD-11 developmental field study of reliability of diagnoses of high-burden mental disorders: results among adult patients in mental health settings of 13 countries

Reliable, clinically useful, and globally applicable diagnostic classification of mental disorders is an essential foundation for global mental health. The World Health Organization (WHO) is nearing completion of the 11th revision of the International Classification of Diseases and Related Health Problems (ICD-11). The present study assessed inter-diagnostician reliability of mental disorders accounting for the greatest proportion of global disease burden and the highest levels of service utilization - schizophrenia and other primary psychotic disorders, mood disorders, anxiety and fear-related disorders, and disorders specifically associated with stress - among adult patients presenting for treatment at 28 participating centers in 13 countries. A concurrent joint-rater design was used, focusing specifically on whether two clinicians, relying on the same clinical information, agreed on the diagnosis when separately applying the ICD-11 diagnostic guidelines. A total of 1,806 patients were assessed by 339 clinicians in the local language. Intraclass kappa coefficients for diagnoses weighted by site and study prevalence ranged from 0.45 (dysthymic disorder) to 0.88 (social anxiety disorder) and would be considered moderate to almost perfect for all diagnoses. Overall, the reliability of the ICD-11 diagnostic guidelines was superior to that previously reported for equivalent ICD-10 guidelines. These data provide support for the suitability of the ICD-11 diagnostic guidelines for implementation at a global level. The findings will inform further revision of the ICD-11 diagnostic guidelines prior to their publication and the development of programs to support professional training and implementation of the ICD-11 by WHO member states.

Case series of diagnostic shift from bipolar disorder to schizoaffective disorder

OBJECTIVE

To describe three cases of diagnostic shift from bipolar I disorder (BD) to schizoaffective disorder (SAD).

METHODS

BD patients were clinically assessed and followed up in a mood disorder program. A questionnaire was applied to assess clinical and socio-demographic characteristics, and a Structured Clinical Interview (SCID-I) was conducted.

RESULTS

We identified three patients with diagnosis conversion to SAD from 2005 to 2016. The mean time between BD diagnosis and the diagnostic shift to SAD was 9 years.

CONCLUSIONS

Psychotic symptoms may become persistent, chronic and unrelated to the presence of mood episodes many years after the beginning of BD. Psychiatrists should be aware of this and reassess the diagnosis during the longitudinal course of BD, especially in those patients who present psychotic symptoms.

Co-morbid depressive disorder is associated with better neurocognitive performance in first episode schizophrenia spectrum

BACKGROUND

Both major depressive disorder (MDD) and first episode schizophrenia spectrum (FES) are associated with significant neurocognitive deficits. However, it remains unclear whether the neurocognitive deficits in individuals with FES are more severe if there is comorbid depressive disorder. The aim of this study was to compare the neurocognitive profiles between those with and without full-threshold depressive disorder in FES.

METHOD

This study involved secondary analysis of baseline data from a randomized controlled trial of vocational intervention for young people with first-episode psychosis (N = 82; age range: 15-25 years).

RESULTS

Those with full-threshold depressive disorder (n = 24) had significantly better information processing speed than those without full-threshold depressive disorder. Severity of depressive symptoms was also associated with better information processing speed.

LIMITATIONS

In additional to the cross-sectional design, limitations of this study include the absence of assessing insight as a potential mediator.

CONCLUSIONS

After the first psychotic episode, it could be speculated that those with better information processing speed may be more likely to develop full-threshold depressive disorder, as their ability to efficiently process information may allow them to be more aware of their situations and environments, and consequently to have greater insight into the devastating consequences of FES. Such novel findings support the examination of full-threshold depressive disorder in relation to neurocognitive performance across illness phases in future work.

Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study

IMPORTANCE

Lithium is a first-line mood stabilizer for the treatment of bipolar affective disorder (BPAD). However, the efficacy of lithium varies widely, with a nonresponse rate of up to 30%. Biological response markers are lacking. Genetic factors are thought to mediate treatment response to lithium, and there is a previously reported genetic overlap between BPAD and schizophrenia (SCZ).

OBJECTIVES

To test whether a polygenic score for SCZ is associated with treatment response to lithium in BPAD and to explore the potential molecular underpinnings of this association.

DESIGN, SETTING, AND PARTICIPANTS

A total of 2586 patients with BPAD who had undergone lithium treatment were genotyped and assessed for long-term response to treatment between 2008 and 2013. Weighted SCZ polygenic scores were computed at different P value thresholds using summary statistics from an international multicenter genome-wide association study (GWAS) of 36 989 individuals with SCZ and genotype data from patients with BPAD from the Consortium on Lithium Genetics. For functional exploration, a cross-trait meta-GWAS and pathway analysis was performed, combining GWAS summary statistics on SCZ and response to treatment with lithium. Data analysis was performed from September 2016 to February 2017.

MAIN OUTCOMES AND MEASURES

Treatment response to lithium was defined on both the categorical and continuous scales using the Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder score. The effect measures include odds ratios and the proportion of variance explained.

RESULTS

Of the 2586 patients in the study (mean [SD] age, 47.2 [13.9] years), 1478 were women and 1108 were men. The polygenic score for SCZ was inversely associated with lithium treatment response in the categorical outcome, at a threshold P < 5 × 10-2. Patients with BPAD who had a low polygenic load for SCZ responded better to lithium, with odds ratios for lithium response ranging from 3.46 (95% CI, 1.42-8.41) at the first decile to 2.03 (95% CI, 0.86-4.81) at the ninth decile, compared with the patients in the 10th decile of SCZ risk. In the cross-trait meta-GWAS, 15 genetic loci that may have overlapping effects on lithium treatment response and susceptibility to SCZ were identified. Functional pathway and network analysis of these loci point to the HLA antigen complex and inflammatory cytokines.

CONCLUSIONS AND RELEVANCE

This study provides evidence for a negative association between high genetic loading for SCZ and poor response to lithium in patients with BPAD. These results suggest the potential for translational research aimed at personalized prescribing of lithium.

Validity of routine clinical diagnoses in acute psychiatric inpatients

AIM

To examine the validity of diagnoses obtained by clinicians during routine clinical examination on acute psychiatric inpatient wards.

METHODS

N=100 inpatients with a broad spectrum of major mental disorders were randomly selected in a mental hospital's department of general psychiatry. Patients were diagnosed by independent assessors within Md = 5 (Range: 1-18) days of admission using the SCID I in order to examine the validity of the diagnoses given by the clinical staff based on routine assessments.

RESULTS

The commonly used clinical examination technique had good overall agreement with the SCID I assessments regarding primary diagnoses at the level of ICD-10 main categories (F2, F30-31, F32-F33, F4; κ = 0.65). However, agreement between routine clinical diagnoses and the SCID I diagnoses tended to be low for some specific mental disorders (e.g., depressive disorders) and for secondary diagnoses.

CONCLUSIONS

The validity of routine clinical diagnoses established in acute inpatient settings is limited and should be improved.

The psychometric validity of the Center for Epidemiological Studies - Depression Scale (CES-D) in first episode schizophrenia spectrum

Depressive pathology is common in first-episode schizophrenia spectrum disorders (FES), and is frequently assessed using the Center for Epidemiological Studies - Depression Scale (CES-D), an instrument designed for use in community samples. Despite its widespread use, no prior study has examined the psychometric validity of the CES-D in assessing depressive pathology in FES. The aim of this study was to examine the psychometric validity of the CES-D in FES. This study involved secondary analysis of baseline data from a single blind, randomized controlled trial of vocational intervention for individuals with FES (N=91; age range: 15-25 years). Measures used were: CES-D, Brief Psychiatric Rating Scale (BPRS), Scale for the Assessment of Negative Symptoms (SANS), and Structured Clinical Interview for DSM-IV-TR (SCID-I/P). The CES-D strongly correlated with the depression subscale of the BPRS, and with the presence of full-threshold depressive disorder on the SCID-I/P. There was minimal overlap between the CES-D and SANS, with weak correlations emerging for avolition and anhedonia, and not for affective flattening, alogia, and attention. The CES-D cut-off of ≥23 produced high sensitivity and specificity values for determining full-threshold comorbid depressive disorder. Such findings indicate that the CES-D is effective for assessing and measuring depressive pathology in FES.

Increased risk of suicide in schizophrenia patients with linkage to chromosome 13q

We link schizophrenia in families from the genetically isolated South African Afrikaner population to chromosome 13q (n =51), 1p (n =23) and combined 13q & 1p (n =18). Patients with linkages to chromosome 13q were 4.16 times more likely to meet diagnostic criteria for schizoaffective disorder compared to patients with linkage to 1p. A third of patients with linkage to both 13q &1p met diagnostic criteria for SAD. There was a significant positive relationship between suicidality and a diagnosis of schizoaffective disorder. Identifying linkage to chromosome 13q may be informative in identifying suicide risk early and prevent morbidity and mortality in schizophrenia patients.

The effect of comorbid depression on facial and prosody emotion recognition in first-episode schizophrenia spectrum

BACKGROUND

Comorbid depression is common in first-episode schizophrenia spectrum (FES) disorders. Both depression and FES are associated with significant deficits in facial and prosody emotion recognition performance. However, it remains unclear whether people with FES and comorbid depression, compared to those without comorbid depression, have overall poorer emotion recognition, or instead, a different pattern of emotion recognition deficits. The aim of this study was to compare facial and prosody emotion recognition performance between those with and without comorbid depression in FES.

METHODS

This study involved secondary analysis of baseline data from a randomized controlled trial of vocational intervention for young people with first-episode psychosis (N=82; age range: 15-25 years).

RESULTS

Those with comorbid depression (n=24) had more accurate recognition of sadness in faces compared to those without comorbid depression. Severity of depressive symptoms was also associated with more accurate recognition of sadness in faces. Such results did not recur for prosody emotion recognition.

LIMITATIONS

In addition to the cross-sectional design, limitations of this study include the absence of facial and prosodic recognition of neutral emotions.

CONCLUSIONS

Findings indicate a mood congruent negative bias in facial emotion recognition in those with comorbid depression and FES, and provide support for cognitive theories of depression that emphasise the role of such biases in the development and maintenance of depression. Longitudinal research is needed to determine whether mood-congruent negative biases are implicated in the development and maintenance of depression in FES, or whether such biases are simply markers of depressed state.

Reducing the Diagnostic Heterogeneity of Schizoaffective Disorder

OBJECTIVE

Clinical outcome studies of schizoaffective disorder patients have yielded conflicting results. One reason is the heterogeneity of samples drawn from the schizoaffective disorder population. Here, we studied schizoaffective disorder patients who showed marked functional impairment and continuous signs of illness for at least 6 months (i.e., DSM criteria B and C for schizophrenia).

METHODS

We assessed 176 chronic psychosis patients with a structured interview (SCID-IV-TR) and the Diagnostic Interview for Genetic Studies schizoaffective disorder module. We diagnosed 114 patients with schizophrenia and 62 with schizoaffective disorder. The two groups were similar with regard to age, gender, and race. We tested for group differences in antecedent risk factors, clinical features, and functional outcome.

RESULTS

The schizoaffective disorder group differed from the schizophrenia group on two measures only: they showed higher rates of suicidality (more suicide attempts, p < 0.01; more hospitalizations to prevent suicide, p < 0.01) and higher anxiety disorder comorbidity (p < 0.01).

CONCLUSION

When schizoaffective disorder patients meet DSM criteria B and C for schizophrenia, they resemble schizophrenia patients on several measures used to assess validity. The increased rate of anxiety disorders and suicidality warrants clinical attention. Our data suggest that a more explicit definition of schizoaffective disorder reduces heterogeneity and may increase validity.

Diagnostic shift in patients diagnosed with schizoaffective disorder: a systematic review and meta-analysis of rediagnosis studies

OBJECTIVES

The diagnosis of schizoaffective disorder (SAD) is well established in clinical practice but is heavily disputed on theoretical grounds. We analyzed the extent and direction of diagnostic shift in SAD patients.

METHODS

We searched Medline, Embase, and PsycINFO systematically for all studies documenting two diagnostic assessments at different points in time (rediagnosis studies) and used meta-analytic methods to quantify diagnostic shift. Multiple prespecified and post-hoc subgroup analyses (e.g., rater blinding) and meta-regressions (e.g., year of publication) were carried out.

RESULTS

We included 31 studies out of 4,415 articles screened: 27 studies on the shift from and 23 studies on the shift to SAD (median time span was two years). A total of 36% of patients with a diagnosis of SAD at first assessment switch, many to schizophrenia (19%), 14% to affective disorders, and 6% to other disorders. Among patients diagnosed with SAD at second assessment, 55% had received a different diagnosis at first assessment, a large portion of whom had been initially diagnosed with affective disorder (24%), schizophrenia (18%), and other disorders (12%).

CONCLUSIONS

Diagnostic shift in SAD patients is substantial. Psychiatrists need to reassess the diagnosis during the course of the illness and to adjust treatment. Slightly more diagnoses of SAD are changed to schizophrenia than to affective disorders, and among patients rediagnosed with SAD, fewer have been diagnosed with schizophrenia than with affective disorders. Thus, at the diagnostic level, there seems to be a slight trend toward schizophrenia during the course of functional psychoses.

Characteristics and heterogeneity of schizoaffective disorder compared with unipolar depression and schizophrenia - a systematic literature review and meta-analysis

BACKGROUND

Comparisons of illness characteristics between patients with schizoaffective disorder (SAD) patients and unipolar depression (UD) are rare, even though UD is one of the most important differential diagnoses of SAD. Also, the variability of illness characteristics (heterogeneity) has not been compared. We compared illness characteristics and their heterogeneity among SAD, UD, and - as another important differential diagnosis - schizophrenia (S).

METHODS

In order to reduce sampling bias we systematically searched for studies simultaneously comparing samples of patients with SAD, UD, and S. Using random effects and Mantel-Haenszel models we estimated and compared demographic, illness course and psychopathology parameters, using pooled standard deviations as a measurement of heterogeneity.

RESULTS

Out of 155 articles found by an earlier meta-analysis, 765 screened in Medline, 2738 screened in EMBASE, and 855 screened in PsycINFO we selected 24 studies, covering 3714 patients diagnosed according to RDC, DSM-III, DSM-IIIR, DSM-IV, or ICD-10. In almost all key characteristics, samples with schizoaffective disorders fell between unipolar depression and schizophrenia, with a tendency towards schizophrenia. On average, UD patients were significantly older at illness onset (33.0 years, SAD: 25.2, S: 23.4), more often women (59% vs. 57% vs. 39%) and more often married (53% vs. 39% vs. 27%). Their psychopathology was also less severe, as measured by BPRS, GAS, and HAMD. In demographic and clinical variables heterogeneity was roughly 5% larger in UD than in SAD, and samples of patients with schizophrenia had the lowest pooled heterogeneity. A similar picture emerged in a sensitivity analysis with coefficient of variation as the measurement of heterogeneity.

LIMITATIONS

Relative to bipolar disorder there are fewer studies including unipolar patients. No studies based on DSM-5 could be included.

CONCLUSIONS

Regarding unipolar affective disorder this study confirms what we have shown for bipolar disorders in earlier studies: schizoaffective disorder falls between schizophrenia and affective disorders, and there are relevant quantitative differences in key illness characteristics, which supports the validity of the schizoaffective disorder concept. Contrary to our expectations heterogeneity is not larger in SAD than in UD and not substantially higher than in S. Lower reliability of the diagnosis of SAD therefore cannot be ascribed to higher variability of illness characteristics in SAD.

Comparison of psychotic bipolar disorder, schizoaffective disorder, and schizophrenia: an international, multisite study

OBJECTIVE

Nosological distinctions among schizoaffective disorder (SA), bipolar I disorder with psychotic features (BDp), and schizophrenia (SZ) remain unresolved.

METHOD

We compared 2269 subjects with psychotic features in DSM-IV-TR diagnoses (1435 BDp, 463 SZ, 371 SA) from 8 collaborating international sites, by 12 sociodemographic and clinical measures, all between diagnostic pairs.

RESULTS

In bivariate comparisons, SA was consistently intermediate between BDp and SZ for 11/12 features (except onset stressors), and SZ vs. BDp differed in all 12 factors. SA differed from both BDp and SZ in 9/12 factors: SA and BDp were similar in education and suicidal ideation or acts; SA and SZ were similar in education, onset stressors, and substance abuse. Meta-analytic comparisons of diagnostic pairs for 10 categorical factors indicated similar differences of SA from both SZ and BDp. Multivariate modeling indicated significantly independent differences between BDp and SZ (8 factors), SA vs. SZ (5), and BDp vs. SA (3). Measurement variance was similar for all diagnoses.

CONCLUSION

SA was consistently intermediate between BDp and SZ. The three diagnostic groups ranked: BDp > SA > SZ related to lesser morbidity or disability. The findings are not consistent with a dyadic Kraepelinian categorization, although the considerable overlap among the three DSM-IV diagnostic groups indicates uncertain boundaries if they represent distinct disorders.

Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder

OBJECTIVE

Brain structural changes in schizoaffective disorder, and how far they resemble those seen in schizophrenia and bipolar disorder, have only been studied to a limited extent.

METHOD

Forty-five patients meeting DSM-IV and RDC criteria for schizoaffective disorder, groups of patients with 45 matched schizophrenia and bipolar disorder, and 45 matched healthy controls were examined using voxel-based morphometry (VBM).

RESULTS

Analyses comparing each patient group with the healthy control subjects found that the patients with schizoaffective disorder and the patients with schizophrenia showed widespread and overlapping areas of significant volume reduction, but the patients with bipolar disorder did not. A subsequent analysis compared the combined group of patients with the controls followed by extraction of clusters. In regions where the patients differed significantly from the controls, no significant differences in mean volume between patients with schizoaffective disorder and patients with schizophrenia in any of five regions of volume reduction were found, but mean volumes in the patients with bipolar disorder were significantly smaller in three of five.

CONCLUSION

The findings provide evidence that, in terms of structural gray matter brain abnormality, schizoaffective disorder resembles schizophrenia more than bipolar disorder.

Test-retest reliability of schizoaffective disorder compared with schizophrenia, bipolar disorder, and unipolar depression--a systematic review and meta-analysis

OBJECTIVES

Schizoaffective disorder is a frequent diagnosis, and its reliability is subject to ongoing discussion. We compared the diagnostic reliability of schizoaffective disorder with its main differential diagnoses.

METHODS

We systematically searched Medline, Embase, and PsycInfo for all studies on the test-retest reliability of the diagnosis of schizoaffective disorder as compared with schizophrenia, bipolar disorder, and unipolar depression. We used meta-analytic methods to describe and compare Cohen's kappa as well as positive and negative agreement. In addition, multiple pre-specified and post hoc subgroup and sensitivity analyses were carried out.

RESULTS

Out of 4,415 studies screened, 49 studies were included. Test-retest reliability of schizoaffective disorder was consistently lower than that of schizophrenia (in 39 out of 42 studies), bipolar disorder (27/33), and unipolar depression (29/35). The mean difference in kappa between schizoaffective disorder and the other diagnoses was approximately 0.2, and mean Cohen's kappa for schizoaffective disorder was 0.50 (95% confidence interval: 0.40-0.59). While findings were unequivocal and homogeneous for schizoaffective disorder's diagnostic reliability relative to its three main differential diagnoses (dichotomous: smaller versus larger), heterogeneity was substantial for continuous measures, even after subgroup and sensitivity analyses.

CONCLUSIONS

In clinical practice and research, schizoaffective disorder's comparatively low diagnostic reliability should lead to increased efforts to correctly diagnose the disorder.

DSM-5 reviewed from different angles: goal attainment, rationality, use of evidence, consequences—part 2: bipolar disorders, schizophrenia spectrum disorders, anxiety disorders, obsessive-compulsive disorders, trauma- and stressor-related disorders, personality disorders, substance-related and addictive disorders, neurocognitive disorders

Part 1 of this paper discussed several more general aspects of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and offered a detailed, paradigmatic analysis of changes made to the chapter on depressive disorders. This second part focusses on several other disorders, including bipolar and schizophrenia spectrum disorders. The respective changes and their possible consequences are discussed under consideration of traditional psychiatric classification, particularly from the perspective of European traditions and on the basis of a PubMed search and review papers. The general conclusion is that even seemingly small changes such as the introduction of the mixed feature specifier can have far-reaching consequences. Contrary to the original plans, DSM-5 has not radically changed to become a primarily dimensional diagnostic system but has preserved the categorical system for most disorders. The ambivalence of the respective decision-making becomes apparent from the last minute decision to change the classification of personality disorders from dimensional back to categorical. The advantages and disadvantages of the different approaches are discussed in this context. In DSM-5, only the chapter on addictive disorders has a somewhat dimensional structure. Also in contrast to the original intentions, DSM-5 has not used a more neurobiological approach to disorders by including biological markers to increase the objectivity of psychiatric diagnoses. Even in the most advanced field in terms of biomarkers, the neurocognitive disorders, the primarily symptom-based, descriptive approach has been preserved and the well-known amyloid-related and other biomarkers are not included. This is because, even after so many years of biomarker research, the results are still not considered to be robust enough to use in clinical practice.

[Schizophrenia and other psychotic disorders in DSM-5: summary of the changes compared to DSM-IV]

With the introduction of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) numerous changes in the area of the schizophrenia spectrum and psychotic disorders have been implemented. Establishing a metastructure based on the characteristics of the spectrum of psychopathological disturbances should improve clarity. The classical subtypes of schizophrenia were eliminated and specific psychopathological dimensions for the assessment of disease severity were added. The special role of Schneiderian first rank symptoms was abandoned and a higher delineation towards schizoaffective disorders is made. The nosological status of catatonia is clarified and occurs together with a consistent use of catatonic disturbances over all chapters. The attenuated psychosis syndrome is added as a new condition for further study. The shared psychotic disorder in the sense of a folie à deux is no longer maintained. However, the initial goal to integrate more disorder-specific etiopathogenetic information into the reconceptualization could not be achieved. Contemporaneously to the development process of DSM-5 the National Institute of Mental Health (NIMH) carried out the research domain criteria project (RDoC) attempting to incorporate the current growth in knowledge of genetics, neurocognitive and cognitive sciences in future diagnostic systems. This article gives an overview of the changes that have been made within the revision process from DSM-IV to DSM-5.

Trait or state? A longitudinal neuropsychological evaluation and fMRI study in schizoaffective disorder

Schizoaffective patients can have neurocognitive deficits and default mode network dysfunction while being acutely ill. It remains unclear to what extent these abnormalities persist when they go into clinical remission. Memory and executive function were tested in 22 acutely ill schizoaffective patients; they also underwent fMRI scanning during performance of the n-back working memory test. The same measures were obtained after they had been in remission for ≥ 2 months. Twenty-two matched healthy individuals were also examined. In clinical remission, schizomanic patients showed an improvement of memory but not of executive function, while schizodepressive patients did not change in either domain. All schizoaffective patients in clinical remission showed memory and executive impairment compared to the controls. On fMRI, acutely ill schizomanic patients had reversible frontal hypo-activation when compared to clinical remission, while activation patterns in ill and remitted schizodepressive patients were similar. The whole group of schizoaffective patients in clinical remission showed a failure of de-activation in the medial frontal gyrus compared to the healthy controls. There was evidence for memory improvement and state dependent changes in activation in schizomanic patients across relapse and remission. Medial frontal failure of de-activation in remitted schizoaffective patients, which probably reflects default mode network dysfunction, appears to be a state independent feature of the illness.

The consequences of DSM-5 for psychiatric diagnosis and psychopharmacotherapy

OBJECTIVE

After 10 years of preparation, DSM-5 was published in 2013. This paper will examine the possible effects of DSM-5 on psychiatric diagnosis and psychopharmacotherapy.

METHODS

DSM-5 was compared with DSM-IV to identify the important changes in psychiatric diagnosis and possible consequences for psychopharmacotherapy.

RESULTS

Contrary to the original plans, DSM-5 did not make radical changes and move towards dimensional diagnosis but preserved the previous categorical system of disorders and a primarily symptom-based descriptive approach. The dimensional approach was only adopted through the introduction of several transnosological specifiers and the option to make symptom- or syndrome-related assessments. The criteria for some disorders were changed, including affective, dependence and schizophrenic disorders, and a few new disorders were added.

CONCLUSION

The DSM-IV diagnostic system was largely preserved, although some changes were made, primarily in the field of affective disorder and in several criteria sets. The new transnosological specifiers, severity assessments and cross-cutting dimensional assessments may help to individualise treatment.

Schizoaffective disorder diagnosed according to different diagnostic criteria--systematic literature search and meta-analysis of key clinical characteristics and heterogeneity

BACKGROUND

Schizoaffective disorder is viewed as a heterogeneous diagnosis among psychotic illnesses. Different diagnostic systems differ in their definition with DSM (-IIIR, -IV, and -V) providing a narrower definition than RDC and ICD-10. It is unclear whether this difference is reflected in patient samples diagnosed according to different diagnostic systems.

METHODS

Exploratory study based on a systematic review of studies of schizoaffective disorder samples diagnosed by either RDC and ICD-10 (group of "broad criteria") or DSM-IIIR and -IV ("narrow criteria"); comparison (by Mann-Whitney-U-tests) of key characteristics, such as age, number of hospitalizations, or scores in psychometric tests, between more broadly and more narrowly defined schizoaffective disorder samples using standard deviations as a measurement of heterogeneity as well as weighted means and percentages. To reduce selection bias only studies including schizoaffective patient samples together with affective disorder and schizophrenia samples were selected.

RESULTS

55 studies were included, 14 employing RDC, 4 ICD-10, 20 DSM-IIIR, and 17 DSM-IV. Thirteen characteristics were compared: patients diagnosed according to broader criteria had fewer previous hospitalizations (2.2 vs. 5.4) and were both less often male (42 vs. 51%) and married (21 vs. 40%). Heterogeneity was similar in both groups but slightly higher in RDC and ICD-10 samples than in DSM-IIIR and -IV-samples: +4% regarding demographic and clinical course data and +13% regarding psychometric tests (pooled SD).

LIMITATIONS

Secular trends and different designs may have confounded the results and limit generalizability. Some comparisons were underpowered.

CONCLUSIONS

Differences in diagnostic criteria are reflected in key characteristics of samples. The association of larger heterogeneity with wider diagnostic criteria supports employing standard deviations as a measurement of heterogeneity.

Identification of psychopathological course trajectories in schizophrenia

Course trajectory analyses have been performed primarily for treatment response in acute episodes of schizophrenic disorders. As yet, corresponding data for the long-term course are lacking. Within a multicenter prospective observational study, 268 patients with schizophrenia were assessed at discharge from hospital and followed up after 6, 12, 18, and 24 months. A latent class growth analysis was performed on the scores from the Positive and Negative Syndrome Scale (PANSS). A two-class conditional latent class model showed the best data fit (Entropy: 0.924). The model divided the sample into a group with amelioration in all PANSS subscales (60%) and a group with stable positive/negative and deteriorating general psychopathology symptoms (40%). Global functioning (GAF score), gender, age, living situation and involuntary admission predicted course trajectory class membership. The model was predictive of significant differences between the two groups in health care service costs and quality of life. The results underline the heterogeneous course of the illness, which ranged from amelioration to deterioration over a 2-year period. Statistical models such as trajectory analysis could help to identify more homogenous subtypes in schizophrenia.

The schizoaffective disorder diagnosis: a conundrum in the clinical setting

The term schizoaffective was introduced to describe the co-occurrence of both psychotic and affective symptoms. Overtime, as the diagnosis schizoaffective disorder was added to diagnostic manuals, significant concerns were raised as to the reliability and clinical utility of the diagnosis. We recruited 134 psychiatrically hospitalized subjects who had received a diagnosis of schizophrenia, schizoaffective disorder or bipolar disorder with psychotic features by their treating clinician. The subjects were also diagnosed by trained research personnel with the Structured Clinical Interview of the DSM-IV-TR, employing an explicit time threshold for criterion C of the schizoaffective disorder diagnosis. We found significant differences between the clinical and research diagnoses. Clinicians diagnosed 48 patients (36%) with schizophrenia, 50 patients (37%) with schizoaffective disorder and 36 patients (27%) with psychotic bipolar disorder. In contrast, researchers diagnosed 64 patients (48%) with schizophrenia, 38 patients (28%) with schizoaffective disorder and 32 patients (24%) with psychotic bipolar disorder. This was a statistically significant disagreement between the research and clinical diagnoses (p = 0.003) and indicates that clinicians choose the less severe diagnosis for psychotic patients. We conclude that a more stringent criterion C for the schizoaffective disorder diagnosis will address an implicit bias in clinical practice and will affect the prevalence of the psychotic disorder diagnoses.

Heterogeneity of schizoaffective disorder compared with schizophrenia and bipolar disorder

OBJECTIVE

Low diagnostic reliability, the need to meet criteria of two disorders, and its status as residual diagnosis in clinical practice led us to hypothesize that schizoaffective disorder (SAD) is characterized by considerable heterogeneity, particularly in comparison with schizophrenia (SZ) and bipolar disorder (BD). As this has not been investigated the aim of this study is to test whether heterogeneity is larger in SAD than in SZ and BD.

METHOD

Systematic search for studies simultaneously comparing all three diagnoses regarding demographic, clinical, psychometric (clinical rating scales and IQ tests), and biological parameters; comparison of heterogeneity as measured by standard deviation (SD).

RESULTS

Standard deviation of SAD samples (N = 47) was smaller than in both differential diagnoses. SDs were 7% higher in BD than in SAD (SZ: 2% higher); in studies employing DSM-IIIR/-IV pooled SD was 4% higher in BD (8% lower in SZ). Differences between diagnoses were limited to the comparison of SAD and BD, and became smaller when only psychotic BD was considered.

CONCLUSION

Heterogeneity of SZ and BD is not smaller than that of SAD. SAD seems not to be more diverse than other functional psychoses. Results are preliminary because of the novelty of the approach and to the small number of studies.

Psychotic disorders in DSM-5: summary of changes

Key issues related to the diagnosis of schizophrenia and other psychotic disorders addressed in DSM-5 were more precisely defining diagnostic boundaries between different psychotic disorders, reducing spurious comorbidity, improving coherence across the diagnostic manual, and enhancing validity without loss of reliability. New information about the nature of these disorders generated since DSM-IV was incorporated into their definition. Resulting changes in DSM-5 include elimination of the classic subtypes of schizophrenia, elimination of special treatment of Schneiderian 'first-rank symptoms', more precise delineation of schizoaffective disorder from schizophrenia and psychotic mood disorders, and clarification of the nosologic status of catatonia and its consistent treatment across the manual. Changes in section 3 of the manual include addition of a new category of "attenuated psychosis syndrome" as a condition for further study and addition of unique psychopathological dimensions (that represent treatment targets across disorders). The specific nature of these revisions in the DSM-5 criteria for schizophrenia and other psychotic disorders along with their rationale are summarized in this article.

Differences between first episode schizophrenia and schizoaffective disorder

BACKGROUND

The diagnostic and clinical overlap between schizophrenia and schizoaffective disorder is an important nosological issue in psychiatry that is yet to be resolved. The aim of this study was to compare the clinical and functional characteristics of an epidemiological treated cohort of first episode patients with an 18-month discharge diagnosis of schizophrenia (FES) or schizoaffective disorder (FESA).

METHODS

This study was part of the larger First Episode Psychosis Outcome Study (FEPOS) which involved a medical file audit study of all 786 patients treated at the Early Psychosis Prevention and Intervention Centre between 1998 and 2000. Of this cohort, 283 patients had an 18-month discharge diagnosis of FES and 64 had a diagnosis of FESA. DSM-IV diagnoses and clinical and functional ratings were derived and validated by two consultant psychiatrists.

RESULTS

Compared to FES patients, those with FESA were significantly more likely to have a later age of onset (p=.004), longer prodrome (p=.020), and a longer duration of untreated psychosis (p<.001). At service entry, FESA patients presented with a higher illness severity (p=.020), largely due to the presence of more severe manic symptoms (p<.001). FESA patients also had a greater number of subsequent inpatient admissions (p=.017), had more severe depressive symptoms (p=.011), and higher levels of functioning at discharge.

DISCUSSION

The findings support the notion that these might be considered two discernable disorders; however, further research is required to ascertain the ways and extent to which these disorders are discriminable at presentation and over time.

Informing DSM-5: biological boundaries between bipolar I disorder, schizoaffective disorder, and schizophrenia

BACKGROUND

The fifth version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) opted to retain existing diagnostic boundaries between bipolar I disorder, schizoaffective disorder, and schizophrenia. The debate preceding this decision focused on understanding the biologic basis of these major mental illnesses. Evidence from genetics, neuroscience, and pharmacotherapeutics informed the DSM-5 development process. The following discussion will emphasize some of the key factors at the forefront of the debate.

DISCUSSION

Family studies suggest a clear genetic link between bipolar I disorder, schizoaffective disorder, and schizophrenia. However, large-scale genome-wide association studies have not been successful in identifying susceptibility genes that make substantial etiological contributions. Boundaries between psychotic disorders are not further clarified by looking at brain morphology. The fact that symptoms of bipolar I disorder, but not schizophrenia, are often responsive to medications such as lithium and other anticonvulsants must be interpreted within a larger framework of biological research.

SUMMARY

For DSM-5, existing nosological boundaries between bipolar I disorder and schizophrenia were retained and schizoaffective disorder preserved as an independent diagnosis since the biological data are not yet compelling enough to justify a move to a more neurodevelopmentally continuous model of psychosis.

Reimagining psychoses: an agnostic approach to diagnosis

OBJECTIVES

Current approaches to defining and classifying psychotic disorders are compromised by substantive heterogeneity within, blurred boundaries between, as well as overlaps across the various disorders in outcome, treatment response, emerging evidence regarding pathophysiology and presumed etiology.

METHODS

We herein review the evolution, current status and the constraints posed by classic symptom-based diagnostic approaches. We compare the continuing constructs that underlie the current classification of psychoses, and contrast those to evolving new thinking in other areas of medicine.

RESULTS

An important limitation in current psychiatric nosology may stem from the fact that symptom-based diagnoses do not "carve nature at its joints"; while symptom-based classifications have improved our reliability, they may lack validity. Next steps in developing a more valid scientific nosology for psychoses include a) agnostic deconstruction of disease dimensions, identifying disease markers and endophenotypes; b) mapping such markers across translational domains from behaviors to molecules, c) reclustering cross-cutting bio-behavioral data using modern phenotypic and biometric approaches, and finally d) validating such entities using etio-pathology, outcome and treatment-response measures.

CONCLUSIONS

The proposed steps of deconstruction and "bottom-up" disease definition, as elsewhere in medicine, may well provide a better foundation for developing a nosology for psychotic disorders that may have better utility in predicting outcome, treatment response and etiology, and identifying novel treatment approaches.

Gating of a novel brain potential is associated with perceptual anomalies in bipolar disorder

OBJECTIVES

Our laboratory recently identified the P85 gating ratio as a candidate biomarker for bipolar disorder. In order to evaluate the phenomenological significance of P85 gating, the current study examined reports of perceptual anomalies and their relationship to the P50 and P85 physiological measures of sensory gating.

METHODS

Reports of perceptual anomalies on the Structured Clinical Interview to Assess Perceptual Anomalies were compared in patients meeting DSM-IV criteria for paranoid schizophrenia (n = 66), schizoaffective disorder (n = 45), or bipolar I disorder (n = 42), and controls (n = 56), as well as their relationship with P85 and P50 gating.

RESULTS

The bipolar disorder group reported significantly more auditory, visual, and total anomalies than both the schizophrenia and control groups. The schizophrenia group also had more anomalies than the control group. Comparison of psychiatric subgroups revealed that the bipolar depressed, bipolar disorder with psychosis, and schizoaffective bipolar type groups reported the most anomalies compared to the other patient groups (bipolar disorder without psychosis, schizoaffective, bipolar manic). The total perceptual anomalies score and the P85 ratio significantly differentiated the bipolar disorder, schizoaffective, and paranoid schizophrenia groups from each other.

CONCLUSIONS

These findings provide evidence of the phenomenological significance of P85. The results also yield further support not only for the P85 ratio, but also for increased reports of perceptual anomalies as possible markers for bipolar disorder.

Characteristics of patients diagnosed with schizoaffective disorder compared with schizophrenia and bipolar disorder

OBJECTIVES

Information on basic demographic and clinical characteristics of schizoaffective disorder is sparse and subject to sampling bias and low diagnostic reliability. In the present study we aimed to: (i) estimate the demographic and clinical descriptors in schizoaffective disorder patients and (ii) compare the findings with those with schizophrenia and bipolar disorder.

METHODS

To minimize sampling bias and low reliability, we systematically reviewed studies that simultaneously compared schizoaffective, schizophrenia, and bipolar disorder patients. We estimated demographic, clinical, and psychometric characteristics based on weighted pooling, and compared disorders by meta-analysis. We also estimated whether schizoaffective disorder is closer to schizophrenia or to bipolar disorder.

RESULTS

We identified 50 studies that included 18312 patients. Most characteristics of the 2684 schizoaffective disorder patients fell between those of 4814 diagnosed with bipolar disorder and 10814 with schizophrenia. However, the schizoaffective group had the highest proportion of women (52%), had the youngest age at illness onset (23.3 ± 3.8 years), and had the highest standardized ratings of psychosis and depression. Differences in pooled parameters between schizoaffective versus schizophrenia and versus bipolar disorder subjects were similar. Values for patients with schizoaffective disorders mostly were intermediate between schizophrenia and bipolar disorder. However, the majority of studies showed schizoaffective patients to be more like schizophrenia than bipolar disorder patients in seven out of nine demographic and clinical categories as well as in five out of eight psychometric measures. These results remained similar when we restricted the analyses to studies with psychotic bipolar disorder patients only or to studies using the Diagnostic and Statistical Manual of Mental Disorders (DSM)-IIIR and DSM-IV only.

CONCLUSIONS

The present study provided estimates of important characteristics of schizoaffective disorder - as balanced as possible in summarizing the findings from observational studies as unbiased as possible. The results did not support the hypothesis that schizoaffective disorder is primarily an affective disorder. The stronger resemblance of schizoaffective disorder to schizophrenia than to bipolar disorder needs further investigation.

Diagnostic specificity of poor premorbid adjustment: comparison of schizophrenia, schizoaffective disorder, and mood disorder with psychotic features

Individuals with schizophrenia have significant deficits in premorbid social and academic adjustment compared to individuals with non-psychotic diagnoses. However, it is unclear how severity and developmental trajectory of premorbid maladjustment compare across psychotic disorders. This study examined the association between premorbid functioning (in childhood, early adolescence, and late adolescence) and psychotic disorder diagnosis in a first-episode sample of 105 individuals: schizophrenia (n=68), schizoaffective disorder (n=22), and mood disorder with psychotic features (n=15). Social and academic maladjustment was assessed using the Cannon-Spoor Premorbid Adjustment Scale. Worse social functioning in late adolescence was associated with higher odds of schizophrenia compared to odds of either schizoaffective disorder or mood disorder with psychotic features, independently of child and early adolescent maladjustment. Greater social dysfunction in childhood was associated with higher odds of schizoaffective disorder compared to odds of schizophrenia. Premorbid decline in academic adjustment was observed for all groups, but did not predict diagnosis at any stage of development. Results suggest that social functioning is disrupted in the premorbid phase of both schizophrenia and schizoaffective disorder, but remains fairly stable in mood disorders with psychotic features. Disparities in the onset and time course of social dysfunction suggest important developmental differences between schizophrenia and schizoaffective disorder.

The nosology of schizophrenia: toward DSM-5 and ICD-11

Although dementia praecox or schizophrenia has been considered a unique disease entity for more than a century, definitions and boundaries have changed and its precise cause and pathophysiology remain elusive. Despite uncertain validity, the construct of schizophrenia conveys useful clinical and etiopathophysiologic information. Revisions of the Diagnostic and Statistical Manual of Mental Disorders and the International Classification of Diseases seek to incorporate new information about schizophrenia and include elimination of subtypes, addition of psychopathological dimensions, elimination of special treatment of Schneiderian "first-rank" symptoms, better delineation of schizoaffective disorder, and addition of a new category of "attenuated psychosis syndrome".

Cannabis use and depression: a longitudinal study of a national cohort of Swedish conscripts

BACKGROUND

While there is increasing evidence on the association between cannabis use and psychotic outcomes, it is still unclear whether this also applies to depression. We aim to assess whether risk of depression and other affective outcomes is increased among cannabis users.

METHODS

A cohort study of 45 087 Swedish men with data on cannabis use at ages 18-20. Diagnoses of unipolar disorder, bipolar disorder, affective psychosis and schizoaffective disorder were identified from inpatient care records over a 35-year follow-up period. Cox proportional hazard modeling was used to assess the hazard ratio (HR) of developing these disorders in relation to cannabis exposure.

RESULTS

Only subjects with the highest level of cannabis use had an increased crude hazard ratio for depression (HR 1.5, 95% confidence interval (CI), 1.0-2.2), but the association disappeared after adjustment for confounders. There was a strong graded association between cannabis use and schizoaffective disorder, even after control for confounders, although the numbers were small (HR 7.4, 95% CI, 1.0-54.3).

CONCLUSION

We did not find evidence for an increased risk of depression among those who used cannabis. Our finding of an increased risk of schizoaffective disorder is consistent with previous findings on the relation between cannabis use and psychosis.