Is schizoaffective disorder a distinct categorical diagnosis? A critical review of the literature

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.

Guidelines for the management of psychosis in the context of mood disorders

Psychotic episodes occur in a substantial proportion of patients suffering from major mood disorders (both unipolar and bipolar) at some point in their lives. The nature of these episodes is less well understood than the more common, non-psychotic periods of illness and hence their management is also less sophisticated. This is a concern because the risk of suicide is particularly high in this subtype of mood disorder and comorbidity is far more common. In some cases psychotic symptoms may be signs of a comorbid illness but the relationship of psychotic mood to other forms of psychosis and in particular its interactions with schizophrenia is poorly understood. Therefore, our targeted review draws upon extant research and our combined experience to provide clinical context and a framework for the management of these disorders in real-world practice - taking into consideration both biological and psychological interventions.

Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification

Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition in the analysis of complicated or large sets of data. Specifically, artificial intelligence taps on the ability of computer algorithms and software with allowable thresholds to make deterministic approximate conclusions. In comparison to traditional technologies in healthcare, artificial intelligence enhances the process of data analysis without the need for human input, producing nearly equally reliable, well defined output. Schizophrenia is a chronic mental health condition that affects millions worldwide, with impairment in thinking and behaviour that may be significantly disabling to daily living. Multiple artificial intelligence and machine learning algorithms have been utilized to analyze the different components of schizophrenia, such as in prediction of disease, and assessment of current prevention methods. These are carried out in hope of assisting with diagnosis and provision of viable options for individuals affected. In this paper, we review the progress of the use of artificial intelligence in schizophrenia.

Schizophrenia-schizoaffective-bipolar spectra: an epistemological perspective

For decades clinicians and researchers have been thinking and writing about the spectrum of schizophrenia disorders. Indeed both Kraepelin and Bleuler believed in schizophrenia as a spectrum, both in a clinical (individual) and hereditary (family) continuum, from just some exquisite personality traits to unquestionable chronic and debilitating psychosis. Other authors would put the schizophrenia spectrum disorders on different levels of continuum: developmental, psychofunctional, existential, and genetic. Here, we would like to present an historical chronology for the schizophrenia-schizoaffective-bipolar spectra plus a tridimensional model for these spectra: the first axis for categories (affective versus nonaffective psychoses), the second axis for dimensions (personality versus full blown psychosis), and a third axis for biomarkers (remission versus relapse). We believe that without the schizophrenia-schizoaffective-bipolar spectra concept in our minds all our efforts will keep failing one the hardest quest: searching for biomarkers in schizophrenia and related disorders.

Using the MMSE-2 to Measure Cognitive Deterioration in a Sample of Psychiatric Patients Living in Puerto Rico

Patients with psychiatric disorders often have cognitive impairment. Several deficits have been recognized in patients with mood and/or psychotic disorders. We hypothesized that differences in the levels of deterioration exist between patients with bipolar disorder (BD), major depressive disorder (MDD), and schizoaffective disorder (SAD). The mini-mental state examination, version 2 (MMSE-2), was used with a sample of 160 psychiatric patients to measure cognitive impairment. The aims of this studyssss were as follows: (1) To characterize the differences in cognitive deterioration among patients diagnosed with BD, MDD, or SAD; (2) to explore item difficulty and cutoff points based on the educational level and other variables which are significant for our psychiatric population. Descriptive statistics were used for categorical variables. In addition, a Bonferroni post hoc test and an analysis of covariance (ANCOVA) for the continuous dependent variable were performed. Psychiatric diagnosis and years of education adjusted by several covariates proved to be significant. The 25th percentile were obtained to establish the cutoff points. Each item's difficulty was analyzed using means and chi-square tests. Cognitive deterioration was found in 51% of the patients with SAD, in 31% with BD, and in 18% with MDD.

Diagnostic Stability of Primary Psychotic Disorders in a Research Sample

Psychiatric diagnosis is often treated as a stable construct both clinically and in research; however, some evidence suggests that diagnostic change may be common, which may impact research validity and clinical care. In the present study we examined diagnostic stability in individuals with psychosis over time. Participants with a diagnosis of any psychotic disorder (n = 142) were assessed at two timepoints using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders. We found a 25.4% diagnostic change rate across the total sample. People with an initial diagnosis of psychosis not otherwise specified and schizophreniform disorder had the highest rates of change, followed by those with schizophrenia and schizoaffective disorder; people with bipolar disorder had the lowest change rate. Most participants with an unstable initial diagnosis of schizophrenia, schizophreniform disorder, bipolar disorder, or psychosis not otherwise specified converted to a final diagnosis of schizoaffective disorder. Participants with an unstable initial diagnosis of schizoaffective disorder most frequently converted to a diagnosis of schizophrenia. Our findings suggest that diagnostic change is relatively common, occurring in approximately a quarter of patients. People with an initial diagnosis of schizophrenia-spectrum disorder were more likely to have a diagnostic change, suggesting a natural stability of some diagnoses more so than others.

Voluntary and involuntary admissions with schizoaffective disorder: do they differ from schizophrenia?

OBJECTIVES

Schizoaffective disorder and schizophrenia are common presentations to psychiatry services. Research to date has focussed on hypothesised biological differences between these two disorders. Little is known about possible variations in admission patterns. Our study compared demographic and clinical features of patients admitted voluntarily and involuntarily with diagnoses of schizoaffective disorder or schizophrenia to three psychiatry admission units in Ireland.

METHODS

We studied all admissions to three acute psychiatry units in Ireland for periods between 1 January 2008 and 31 December 2018. We recorded demographic and clinical variables for all admissions. Voluntary and involuntary admissions of patients with schizoaffective disorder were compared to those with schizophrenia.

RESULTS

We studied 5581 admissions to the study units for varying periods between January 2008 and December 2018, covering a total of 1 976 154 person-years across the 3 catchment areas. The 3 study areas had 218.8, 145.5 and 411.2 admissions per 100 000 person-years, respectively. Of the 5581 admissions over the study periods, schizoaffective disorder accounted for 5% (n = 260) and schizophrenia for 17% (n = 949). Admissions with schizoaffective disorder were significantly more likely to be female and older, and less likely to have involuntary admission status, compared to those with schizophrenia. As first admissions were not distinguished from re-admissions in this dataset, these findings merit further study.

CONCLUSIONS

Admissions with a schizoaffective disorder differ significantly from those with schizophrenia, being, in particular, less likely to be involuntary admissions. This suggests that psychotic symptoms might be a stronger driver of involuntary psychiatry admission than affective symptoms.

Mental Illness and Youth-Onset Homelessness: A Retrospective Study among Adults Experiencing Homelessness

Financial challenges, social and material instability, familial problems, living conditions, structural issues, and mental health problems have been shown to contribute to youth homelessness. Based on the paucity of literature on mental illness as a reason for youth homelessness, the current study retrospectively evaluated the association between the timing of homelessness onset (youth versus adult) and mental illness as a reason for homelessness among homeless adults living in homeless shelters and/or receiving services from homeless-serving agencies. Homeless participants (N = 919; 67.3% men) were recruited within two independent studies from Dallas and Oklahoma. Covariate-adjusted logistic regressions were used to measure associations between homelessness onset and mental illness as a reason for current homelessness, history of specific mental illnesses, the historical presence of severe mental illness, and severe mental illness comorbidity. Overall, 29.5% of the sample reported youth-onset homelessness and 24.4% reported mental illness as the reason for current homelessness. Results indicated that mental illness as a reason for current homelessness (AOR = 1.62, 95% CI = 1.12–2.34), history of specific mental illnesses (Bipolar disorder–AOR = 1.75, 95% CI = 1.24–2.45, and Schizophrenia/schizoaffective disorder–AOR = 1.83, 95% CI = 1.22–2.74), history of severe mental illness (AOR = 1.48, 95% CI = 1.04–2.10), and severe mental illness comorbidities (AOR = 1.30, 95% CI: 1.11–1.52) were each associated with increased odds of youth-onset homelessness. A better understanding of these relationships could inform needs for early interventions and/or better prepare agencies that serve at-risk youth to address precursors to youth homelessness.

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.

Bivariate genome-wide association analyses of the broad depression phenotype combined with major depressive disorder, bipolar disorder or schizophrenia reveal eight novel genetic loci for depression

Although a genetic basis of depression has been well established in twin studies, identification of genome-wide significant loci has been difficult. We hypothesized that bivariate analyses of findings from a meta-analysis of genome-wide association studies (meta-GWASs) of the broad depression phenotype with those from meta-GWASs of self-reported and recurrent major depressive disorder (MDD), bipolar disorder and schizophrenia would enhance statistical power to identify novel genetic loci for depression. LD score regression analyses were first used to estimate the genetic correlations of broad depression with self-reported MDD, recurrent MDD, bipolar disorder and schizophrenia. Then, we performed four bivariate GWAS analyses. The genetic correlations (r_g ± SE) of broad depression with self-reported MDD, recurrent MDD, bipolar disorder and schizophrenia were 0.79 ± 0.07, 0.24 ± 0.08, 0.53 ± 0.09 and 0.57 ± 0.05, respectively. From a total of 20 independent genome-wide significant loci, 13 loci replicated of which 8 were novel for depression. These were MUC21 for the broad depression phenotype with self-reported MDD and ZNF804A, MIR3143, PSORS1C2, STK19, SPATA31D1, RTN1 and TCF4 for the broad depression phenotype with schizophrenia. Post-GWAS functional analyses of these loci revealed their potential biological involvement in psychiatric disorders. Our results emphasize the genetic similarities among different psychiatric disorders and indicate that cross-disorder analyses may be the best way forward to accelerate gene finding for depression, or psychiatric disorders in general.

Transcriptional changes in the stress pathway are related to symptoms in schizophrenia and to mood in schizoaffective disorder

Altered levels of stress-signalling transcripts have been identified in post-mortem brains of people with schizophrenia, and since stress effects may be expressed throughout the body, there should be similar changes in peripheral cells. However, the extent to which these markers are altered in peripheral white blood cells of people with schizophrenia is not known. Furthermore, how peripheral cortisol and stress-related mRNA are associated with negative symptom severity and emotional states in people with schizophrenia versus schizoaffective disorder has not been determined. Whole blood samples were collected from 86 patients with either schizophrenia or schizoaffective disorder (56 people with schizophrenia and 30 people with schizoaffective disorder), and 77 healthy controls. Total RNA was isolated, cDNA was synthesized, and stress-signalling mRNA levels (for NR3C1, FKBP5, FKBP4, PTGES3 and BAG1) were determined. Stress and symptom severity scores were measured by the Depression, Anxiety and Stress Scale, and the Positive and Negative Syndrome Scale, respectively. We found increased FKBP5 mRNA, Z(156) = 2.5, p = 0.01, decreased FKBP4 mRNA, t(155) = 3.5, p ≤ 0.001, and decreased PTGES3 mRNA, t(153) = 3.0, p ≤ 0.01, in schizophrenia and schizoaffective disorder cohorts combined compared to healthy controls. Stress-related peripheral mRNA levels were differentially correlated with negative emotional states and symptom severity in schizoaffective disorder (β's = -0.45-0.56, p's = 0.05-0.001) and schizophrenia (β's = -0.34-0.38, p's = 0.04-0.03), respectively. Therefore, molecules of the stress-signalling pathway appear to differentially contribute to clinical features of schizophrenia versus schizoaffective disorder.

Sex differences in event-related potential (ERP) waveforms of primary psychotic disorders: A systematic review

Research aimed at understanding primary psychotic disorders such as schizophrenia, schizophreniform disorder, and schizoaffective disorder, with electrophysiological methods has flourished over recent years. However, a significant component that is often overlooked or underreported in electrophysiological research of psychosis is the factor of biological sex. Thus, the goal of this systematic review was to summarize the current understanding of EEG sex differences in primary psychotic disorders. Our study found a consistent sex difference relating to the P300 component (male amplitude < females), and that research examining sex differences of ERP waveforms, other than the P300, is very limited with ambiguous findings. This review also addressed the lack of consideration of sex as an influencing factor in electrophysiological research.

How Well Does the DSM-5 Capture Schizoaffective Disorder?

Schizoaffective disorder has long been recognized and quite variably defined. It has been variably positioned as a discrete entity, a variant of either schizophrenia or of a mood disorder, as simply reflecting the co-occurrence of schizophrenia and a mood disorder, and effectively reflecting a diagnosis along a continuum linking schizophrenia and bipolar disorder. This article considers historical views, some empirical data that advance consideration of its status, and focuses on its classification in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). DSM-5 criteria seemingly weight it in the direction of a schizophrenic illness, as do some empirical studies, whereas the empirical literature examining the response to lithium links it more closely to bipolar disorder. It is suggested that DSM-5's B and C criteria are operationally unfeasible. Some suggestions are provided for a simpler definition.

Antipsychotic utilization patterns among patients with schizophrenic disorder: a cross-national analysis in four countries

PURPOSE

The aim of the present study was to describe antipsychotic utilization patterns among patients with schizophrenic disorder in Italy, Spain, the UK, and the USA.

METHODS

A retrospective cohort study was conducted. Patients aged 15 and over with schizophrenic disorder were identified in the Caserta claims database (Italy), the Valencia electronic medical record (EMR) database (Spain), in The Health Improvement Network EMR database (UK), and in databases of publicly and privately insured populations in the United States (US).

RESULTS

The frequency of first-generation or second-generation antipsychotic use and of long-acting or other formulations was described. Persistence to antipsychotics was estimated. Overall, 1,403,240 patients with schizophrenic disorder having a total of 765,573 new antipsychotic treatment episodes were identified. The median follow-up time ranged from 0.8 (IQR 0.2-1.9) years in the US commercially-insured population to 1.2 (IQR 0.1-1.7) years in the Spanish population. Second-generation antipsychotics were more frequently used than first-generation antipsychotics in all countries (on average, from 64.4% in the UK to 87% in US): the use of this class increased over time in Italy, Spain, and US (Medicaid). The use of long-acting formulations was heterogeneous across countries, but generally much lower than other formulations. Persistence to antipsychotic treatment at 1 year was low in all countries, ranging from 40 in Spain to 30% in Italy.

CONCLUSIONS

Antipsychotic utilization was heterogeneous among persons with schizophrenic disorder. Nevertheless, low persistence was an issue in all the countries, as less than half of the patients continued their treatment beyond 1 year.

Transdiagnostic dimensions of psychopathology at first episode psychosis: findings from the multinational EU-GEI study

BACKGROUND

The value of the nosological distinction between non-affective and affective psychosis has frequently been challenged. We aimed to investigate the transdiagnostic dimensional structure and associated characteristics of psychopathology at First Episode Psychosis (FEP). Regardless of diagnostic categories, we expected that positive symptoms occurred more frequently in ethnic minority groups and in more densely populated environments, and that negative symptoms were associated with indices of neurodevelopmental impairment.

METHOD

This study included 2182 FEP individuals recruited across six countries, as part of the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study. Symptom ratings were analysed using multidimensional item response modelling in Mplus to estimate five theory-based models of psychosis. We used multiple regression models to examine demographic and context factors associated with symptom dimensions.

RESULTS

A bifactor model, composed of one general factor and five specific dimensions of positive, negative, disorganization, manic and depressive symptoms, best-represented associations among ratings of psychotic symptoms. Positive symptoms were more common in ethnic minority groups. Urbanicity was associated with a higher score on the general factor. Men presented with more negative and less depressive symptoms than women. Early age-at-first-contact with psychiatric services was associated with higher scores on negative, disorganized, and manic symptom dimensions.

CONCLUSIONS

Our results suggest that the bifactor model of psychopathology holds across diagnostic categories of non-affective and affective psychosis at FEP, and demographic and context determinants map onto general and specific symptom dimensions. These findings have implications for tailoring symptom-specific treatments and inform research into the mood-psychosis spectrum.

The continuing story of schizophrenia and schizoaffective disorder: One condition or two?

Although schizophrenia and schizoaffective disorder remain separable in diagnostic systems, the validity of the distinction is uncertain. This study asked whether schizophrenia and schizoaffective disorder are distinguishable on selected cognitive, social cognitive and structural social brain measures. Outpatients with a diagnosis of schizophrenia (n = 44) or schizoaffective disorder (n = 29) and non-psychiatric control participants (n = 62) were studied. Patients were assessed clinically (Positive and Negative Syndrome Scale) and all participants were administered a battery of cognitive (MATRICS Consensus Cognitive Battery; Wechsler Abbreviated Scale of Intelligence, Wide Range Achievement Reading) and social cognitive (Reading the Mind in the Eyes, Mayer-Salovey-Caruso Emotional Intelligence Test; MSCEIT) tasks. In addition, participants underwent structural magnetic resonance imaging (MRI) to yield cortical thickness data for 42 regions associated with the social brain network. Results showed no significant differences between patient groups on 17/18 cognitive/social cognitive and social brain cortical thickness measures. In contrast, schizophrenia and schizoaffective disorder patients differed from controls on 16/18 and 11/18 measures respectively. Schizoaffective disorder patients outperformed schizophrenia patients on an emotion regulation task (MSCEIT). Schizophrenia and schizoaffective disorder are largely indistinguishable on key cognitive, social cognitive and neural measures. The continuing separation of these syndromes in diagnostic systems and disease models requires is questionable and requires further attention.

Normative and Maladaptive Personality Trait Models of Mood, Psychotic, and Substance Use Disorders

The Personality Inventory for DSM-5 (PID-5) is a questionnaire developed to assess the five domains represented in the alternative model for personality disorders proposed in Section III of the DSM-5. This study examined the ability of the PID-5 to distinguish between different mental disorders compared to a questionnaire measure of the five-factor model (FFM) of normative personality. The study included the administration of the PID-5 and Revised NEO Personality Inventory (NEO PI-R), a measure of the FFM, to treatment-seeking individuals with Depressive, Bipolar, Psychotic, and Alcohol Use Disorders (AUD). Diagnostic groups were compared at the domain level of PID-5 and NEO PI-R, with sex and age as covariates. The main findings on the PID-5 included higher Detachment scores for Bipolar and Depressive Disorders than Psychotic and AUDs, lower Psychoticism/higher Disinhibition scores for the AUD group compared to all other groups, and lower Negative Affect for the Psychotic Disorders versus AUD group. On the NEO PI-R, the AUD diagnostic group was associated with lower Conscientiousness and Agreeableness scores compared to all other groups, and lower Neuroticism scores than the Bipolar and Depressive groups. Group pairwise comparisons did not appear to show many differences between the PID-5 and NEO PI-R. The results suggest that the alternative DSM-5 model for personality disorders may have clinical utility in distinguishing personality profiles between diagnostic groups. These findings emphasize the importance of additional research on the capacity of maladaptive personality to contribute to the assessment of differential diagnoses.

A Perspective on a Possible Relation Between the Psychopathology of the Schizophrenia/Schizoaffective Spectrum and Unconjugated Bilirubin: A Longitudinal Protocol Study

Some authors suggest a relation between Unconjugated Bilirubin (UCB) plasma high levels and schizophrenia, as schizophrenia patients have been showing higher UCB levels when compared with other psychiatric patients and general population. These higher UCB levels have been already correlated with acute psychotic states, positive symptoms, and poor outcome in patients with schizophrenia. Schizophrenia and schizoaffective disorders share common symptoms but there aren't yet accepted biomarkers for their distinction. In our study protocol we propose an observational longitudinal study on a sample composed of two subgroups: patients with schizophrenia and patients with schizoaffective disorder. We will compare the UCB levels between groups, and search for a possible correlation with patient's psychopathology. For that purpose we will use nosological, psychopathological, neuropsychological, and psychosocial instruments. Thus we will be testing two different hypotheses: (1) Is UCB serum level a diagnosis indicator, with categorical distinction potential, between groups of patients with different psychotic disorders? (2) Is UCB serum level a severity indicator, with dimensional distinction potential, among groups of patients with the same psychotic disorder? We believe that UCB mean levels may contribute to some clarification of this controversy, as a potential biological indicator, facilitating the distinction between these two diagnostic categories and\or discriminating the dimensional severity among each of these psychotic conditions. Thus we may be opening a new opportunities for innovative and exciting biological psychiatry research regarding organic aspects in the schizophrenia spectrum.

Do patients with schizophreniform and bipolar disorders show an intrathecal, polyspecific, antiviral immune response? A pilot study

Background

We previously described inflammatory cerebrospinal fluid (CSF) alterations in a subgroup of patients with schizophreniform disorders and the synthesis of polyspecific intrathecal antibodies against different neurotropic infectious pathogens in some patients with bipolar disorders. Consequently, we have measured the prevalence of a positive MRZ reaction (MRZR)—a marker for a polyspecific, antiviral, intrathecal, humoral immune response composed of three antibody indices for the neurotropic viruses of measles (M), rubella (R), and varicella zoster (Z)—in these patients.

Methods

We analyzed paired CSF and serum samples of 39 schizophreniform and 39 bipolar patients. For comparison, we used a group of 48 patients with other inflammatory neurological disorders (OIND) and a cohort of 203 multiple sclerosis (MS) patients.

Results

We found a positive MRZR in two patients with schizophreniform disorders (5.1%); both suffered from schizodepressive disorders without any other signs suggestive of MS. None of the bipolar patients (0%) and four members of the OIND group (8.3%) showed a positive MRZR. In the MS cohort, a positive MRZR was found significantly more frequently [in 99 patients (48.8%)] than in the other patient groups (p > 0.001). In summary, we did not find a positive MRZR in a relevant subgroup of patients with schizophreniform or bipolar disorders.

Conclusions

Our results indicate that the MRZR is highly specific to MS. Nevertheless, two schizodepressive patients also had a positive MRZR. This finding corresponds to the few MRZR-positive patients with OIND or other autoimmune disorders with central nervous involvement, implicating that the MRZR specificity for MS is high, but not 100%.

Unique and Overlapping Symptoms in Schizophrenia Spectrum and Dissociative Disorders in Relation to Models of Psychopathology: A Systematic Review

Schizophrenia spectrum disorders (SSDs) and dissociative disorders (DDs) are described in the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) and tenth edition of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) as 2 categorically distinct diagnostic categories. However, several studies indicate high levels of co-occurrence between these diagnostic groups, which might be explained by overlapping symptoms. The aim of this systematic review is to provide a comprehensive overview of the research concerning overlap and differences in symptoms between schizophrenia spectrum and DDs. For this purpose the PubMed, PsycINFO, and Web of Science databases were searched for relevant literature. The literature contained a large body of evidence showing the presence of symptoms of dissociation in SSDs. Although there are quantitative differences between diagnoses, overlapping symptoms are not limited to certain domains of dissociation, nor to nonpathological forms of dissociation. In addition, dissociation seems to be related to a history of trauma in SSDs, as is also seen in DDs. There is also evidence showing that positive and negative symptoms typically associated with schizophrenia may be present in DD. Implications of these results are discussed with regard to different models of psychopathology and clinical practice.

Gender matters in schizophrenia-spectrum disorders: Results from a healthcare users epidemiological study in Malaga, Spain

PURPOSE

Women suffering from schizophrenia-spectrum disorders may differ from men in clinical course and outcome. Still, those differences can only be portrayed accurately by means of studies that derive information from multiple sources. One such study was performed in a well-defined area supported by a Mental Health Clinical Management Unit in Malaga, Spain.

METHODS

Data from 1640 patients (1048 men and 592 women) that were in contact with services during 2008 were examined for the purpose of the present analysis. Gender differences in sociodemographic and clinical characteristics and the role of gender for explaining clinical characteristics (diagnosis, disease severity and service use) beyond potential sociodemographic confounders were explored.

RESULTS

The chi-squared analysis results revealed that in comparison to men, women were older, married or widowed/divorced and living as housewives with their families in cities. Genders also differed across diagnoses, with men being at higher risk for suffering from paranoid schizophrenia, while women being at higher risk for persistent delusional, acute/transitory and schizoaffective disorders. Furthermore, men had greater disease severity and higher chances to visit the mental health rehabilitation unit (MHRU). Further regression analyses revealed that after controlling for confounders, gender differences remained significant across diagnoses and severity. However, they lost their significance under the influence of marital, living and occupational status when predicting the use of MHRU.

CONCLUSION

Results confirm the existence of gender differences and highlight the importance of other factors for designing effective psychosocial services that are tailor-made to the patients' needs.

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.

Treatment Patterns and Antipsychotic Medication Adherence Among Commercially Insured Patients With Schizoaffective Disorder in the United States

This study assessed real-world treatment patterns and antipsychotic (AP) medication adherence among commercially insured US patients with schizoaffective disorder (SCA). Continuously insured adults aged 18 years or older with a diagnosis of SCA from January 1, 2009, to December 31, 2012, were identified from the Clinformatics Data Mart database. Patients were categorized into 2 cohorts: incident or prevalent SCA. Demographics and clinical characteristics were evaluated during the baseline period. Use of psychiatric medications and adherence to AP medications were evaluated during a 12-month follow-up period after index diagnosis of SCA. Of the overall study population (N = 2713; mean age, 40.2 y; 52.7% female), 1961 patients (72.3%) (mean age, 38.7 y; 51.3% female) had incident SCA, and 752 patients (27.7%) (mean age, 43.9 y; 56.5% female) had prevalent SCA. Antipsychotics were used by 74.8% of patients in the overall study population during the follow-up period. The most commonly prescribed oral AP was risperidone (23.9%), followed by quetiapine (21.4%) and aripiprazole (20.4%). Use of any long-acting injectable APs in the overall study population during the follow-up period was less than 3%. A total of 49.0% and 38.0% of the overall study population had medication possession ratios and proportion of days covered for APs of 80% or greater, respectively. Overall use of long-acting injectable APs for the treatment of SCA is low, and adherence to AP medications, measured by both medication possession ratio and proportion of days covered, is suboptimal among patients with SCA in the real-world setting.

Neuropsychological and neuroimaging underpinnings of schizoaffective disorder: a systematic review

OBJECTIVES

The neurobiological basis and nosological status of schizoaffective disorder remains elusive and controversial. This study provides a systematic review of neurocognitive and neuroimaging findings in the disorder.

METHODS

A comprehensive literature search was conducted via PubMed, ScienceDirect, Scopus and Web of Knowledge (from 1949 to 31st March 2015) using the keyword 'schizoaffective disorder' and any of the following terms: 'neuropsychology', 'cognition', 'structural neuroimaging', 'functional neuroimaging', 'multimodal', 'DTI' and 'VBM'. Only studies that explicitly examined a well defined sample, or subsample, of patients with schizoaffective disorder were included.

RESULTS

Twenty-two of 43 neuropsychological and 19 of 51 neuroimaging articles fulfilled inclusion criteria. We found a general trend towards schizophrenia and schizoaffective disorder being related to worse cognitive performance than bipolar disorder. Grey matter volume loss in schizoaffective disorder is also more comparable to schizophrenia than to bipolar disorder which seems consistent across further neuroimaging techniques.

CONCLUSIONS

Neurocognitive and neuroimaging abnormalities in schizoaffective disorder resemble more schizophrenia than bipolar disorder. This is suggestive for schizoaffective disorder being a subtype of schizophrenia or being part of the continuum spectrum model of psychosis, with schizoaffective disorder being more skewed towards schizophrenia than bipolar disorder.

Schizoaffective Disorder in an acute psychiatric unit: Profile of users and agreement with Operational Criteria (OPCRIT)

BACKGROUND

Schizoaffective Disorder is a controversial and poorly understood diagnosis. Experts disagree on whether it is a discrete disorder; whether it is on a spectrum between Bipolar Disorder and Schizophrenia or whether it even exists. Lack of individual research attention given to this disorder, changing diagnostic criteria and hence poor diagnostic stability have all contributed to the dearth of knowledge surrounding Schizoaffective Disorder.

OBJECTIVES

To describe the profile of mental health care users (MHCUs) diagnosed with Schizoaffective Disorder and determine the degree of agreement between the clinicians' diagnosis and Operational Criteria (OPCRIT).

METHOD

All MHCUs at Helen Joseph Hospital psychiatric unit with Schizoaffective Disorder between 01 January 2004 and 31 December 2010 were included. The demographic, clinical and treatment profiles as well as data required for OPCRIT were extracted from hospital records and discharge summaries.

RESULTS

Most MHCUs with Schizoaffective Disorder were female (68.89%), with a mean age of illness onset of 25 years (SD ± 7.11), had a family history of mood disorders (76.92%) and displayed impaired functioning. Majority (80%) were treated with at least one antipsychotic and one mood stabiliser. No agreement was found between the clinicians' diagnosis and OPCRIT.

CONCLUSION

While the profile of MHCUs with Schizoaffective Disorder in this study is similar to other studies, the lack of agreement between the clinicians' and OPCRIT diagnoses calls for further research using larger population samples and a dimensional approach to diagnoses in order to improve understanding and management of Schizoaffective Disorder.

Multivariate Genetic Correlates of the Auditory Paired Stimuli-Based P2 Event-Related Potential in the Psychosis Dimension From the BSNIP Study

OBJECTIVE

The complex molecular etiology of psychosis in schizophrenia (SZ) and psychotic bipolar disorder (PBP) is not well defined, presumably due to their multifactorial genetic architecture. Neurobiological correlates of psychosis can be identified through genetic associations of intermediate phenotypes such as event-related potential (ERP) from auditory paired stimulus processing (APSP). Various ERP components of APSP are heritable and aberrant in SZ, PBP and their relatives, but their multivariate genetic factors are less explored.

METHODS

We investigated the multivariate polygenic association of ERP from 64-sensor auditory paired stimulus data in 149 SZ, 209 PBP probands, and 99 healthy individuals from the multisite Bipolar-Schizophrenia Network on Intermediate Phenotypes study. Multivariate association of 64-channel APSP waveforms with a subset of 16 999 single nucleotide polymorphisms (SNPs) (reduced from 1 million SNP array) was examined using parallel independent component analysis (Para-ICA). Biological pathways associated with the genes were assessed using enrichment-based analysis tools.

RESULTS

Para-ICA identified 2 ERP components, of which one was significantly correlated with a genetic network comprising multiple linearly coupled gene variants that explained ~4% of the ERP phenotype variance. Enrichment analysis revealed epidermal growth factor, endocannabinoid signaling, glutamatergic synapse and maltohexaose transport associated with P2 component of the N1-P2 ERP waveform. This ERP component also showed deficits in SZ and PBP.

CONCLUSIONS

Aberrant P2 component in psychosis was associated with gene networks regulating several fundamental biologic functions, either general or specific to nervous system development. The pathways and processes underlying the gene clusters play a crucial role in brain function, plausibly implicated in psychosis.

Genetic association analysis of N-methyl-D-aspartate receptor subunit gene GRIN2B and clinical response to clozapine

OBJECTIVE

Approximately 30% of patients with schizophrenia fail to respond to antipsychotic therapy and are classified as having treatment-resistant schizophrenia. Clozapine is the most efficacious drug for treatment-resistant schizophrenia and may deliver superior therapeutic effects partly by modulating glutamate neurotransmission. Response to clozapine is highly variable and may depend on genetic factors as indicated by twin studies. We investigated eight polymorphisms in the N-methyl-D-aspartate glutamate receptor subunit gene GRIN2B with response to clozapine.

METHODS

GRIN2B variants were genotyped using standard TaqMan procedures in 175 European patients with schizophrenia deemed resistant or intolerant to treatment. Response was assessed using change in Brief Psychiatric Rating Scale scores following six months of clozapine therapy. Categorical and continuous response was assessed using chi-squared test and analysis of covariance, respectively.

RESULTS

No associations were observed between the variants and response to clozapine. A-allele carriers of rs1072388 responded marginally better to clozapine therapy than GG-homozygotes; however, the difference was not statistically significant (p = 0.067, uncorrected).

CONCLUSIONS

Our findings do not support a role for these GRIN2B variants in altering response to clozapine in our sample. Investigation of additional glutamate variants in clozapine response is warranted.

Lifetime Physical and Sexual Abuse and Self-Harm in Women With Severe Mental Illness

In a sample of 242 women in treatment for severe mental illness (SMI), we used regression analysis to test the hypothesis that lifetime physical and sexual abuse would correlate with self-harm behaviors (thoughts of self-harm and suicide, self-harming behaviors, and suicide attempts) when controlling for psychiatric symptoms, substance abuse, and negative appraisals of trauma. Lifetime physical abuse and alcohol use were the only significant factors in the model. Women with SMI should be screened regularly for physical abuse, alcohol use, as well as thoughts and behaviors related to self-harming behaviors. Limitations of the study include its cross-sectional design.

De novo cost-utility analysis of oral paliperidone in the treatment of schizoaffective disorder

OBJECTIVES

The aim of this analysis is to compare costs and effectiveness of paliperidone ER vs. placebo in the treatment of schizoaffective disorder (SAD) in the Czech Republic based on pooled clinical trial data.

METHODS

A de novo micro-simulation model was developed to assess the cost-utility analysis of paliperidone vs. placebo as there is lack of clinical data comparing paliperidone to other interventions. There are no studies primarily evaluating the efficacy of treatment of SAD with other antipsychotics. The model estimated effectiveness and costs of patients with SAD every week during 24-week time horizon. The effectiveness was defined as improvement of a patient's PANSS score where utilities were assigned to each modelled PANSS score. Based on the patient level data a linear mixed-effects model was used to estimate the regression equations of percentage decrease of PANSS score from the baseline. Utilities were computed using a regression function of patients' age, sex and PANSS score, which was adapted from a clinical study of patients with schizophrenia as there are no QoL data on SAD patients. Among relevant costs, reflecting the payer's perspective, costs of pharmacotherapy, concomitant medications and outpatient care were considered.

RESULTS

The average ICER of paliperidone compared to placebo reached 28,935 EUR/QALY. The probability of paliperidone being cost-effective compared to placebo was 99.5%.

CONCLUSIONS

Treatment of SAD with paliperidone results in acceptable ICER and high probability of being cost-effective compared to placebo. Thus, it can be considered as a cost-effective treatment of patients with SAD in the Czech Republic.

Schizoaffective disorder and metabolic syndrome: A meta-analytic comparison with schizophrenia and other non-affective psychoses

People with psychotic disorders, including schizophrenia (SCZ), schizoaffective disorder (SD), or other non-affective psychoses (ONAP), have a higher risk of metabolic syndrome (MetS) than general population. However, previous meta-analyses failed to explore if people with SD are more likely to suffer from MetS than SCZ and ONAP. We carried out a systematic review and meta-analysis comparing rates of MetS in SD with those in SCZ or ONAP. We searched main electronic databases for relevant articles published up to January 2015, and for unpublished data, contacting corresponding authors, to minimize selective reporting bias. Odds ratios (ORs) based on random effects models, with 95% confidence intervals (CIs), and heterogeneity (I(2)), were estimated. We performed leave-one-out, quality-based, and subgroups analyses to check findings validity. Testing for publication bias, Egger's test estimates were reported. We included 7616 individuals (1632 with SD and 5984 with SCZ/ONAP) from 30 independent samples. SD, as compared with SCZ/ONAP, had a random-effect pooled OR (95%CI) for MetS of 1.41 (1.23-1.61; p < 0.001; I(2) = 5%). No risk of publication bias was found (p = 0.85). Leave-one-out, sensitivity, and subgroups analyses confirmed the association. To our knowledge, this is the first meta-analysis comparing MetS comorbidity between individuals with SD and those with SCZ or ONAP. SD subjects are more likely to suffer from MetS, with consistent findings across the studies included. However, the role of explanatory factors of this association, and the relative contribution of MetS subcomponents, deserve further research.

Psychosis

PURPOSE OF REVIEW

Psychosis is a common and functionally disruptive symptom of many psychiatric, neurodevelopmental, neurologic, and medical conditions and an important target of evaluation and treatment in neurologic and psychiatric practice. The purpose of this review is to define psychosis, communicate recent changes to the classification of and criteria for primary psychotic disorders described in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and summarize current evidence-based approaches to the evaluation and management of primary and secondary psychoses.

RECENT FINDINGS

The DSM-5 classification of and criteria for primary psychotic disorders emphasize that these conditions occur along a spectrum, with schizoid (personality) disorder and schizophrenia defining its mild and severe ends, respectively. Psychosis is also identified as only one of several dimensions of neuropsychiatric disturbance in these disorders, with others encompassing abnormal psychomotor behaviors, negative symptoms, cognitive impairments, and emotional disturbances. This dimensional approach regards hallucinations and delusions as arising from neural systems subserving perception and information processing, thereby aligning the neurobiological framework used to describe and study such symptoms in primary psychotic disorders with those used to study psychosis associated with other neurologic conditions.

SUMMARY

This article provides practicing neurologists with updates on current approaches to the diagnosis, evaluation, and treatment of primary and secondary psychoses.

Lifetime trauma and suicide attempts in people with severe mental illness

We examined associations among six forms of common lifetime traumatic/adverse events and lifetime suicide attempts while controlling for gender, psychiatric symptoms, self-injury, and substance use in 371 community mental health clients with severe mental illness. Most clients (88.1%) reported at least one traumatic event, and more than half had attempted suicide at least once. Regression revealed that three factors were significantly associated with lifetime suicide attempts: lifetime self-injurious behaviors, lifetime physical abuse, and alcohol use. Having been physically abused appears to be uniquely associated with lifetime suicide attempts when other key risk factors are controlled. Limitations include the cross-sectional design.

Assessing medication adherence and healthcare utilization and cost patterns among hospital-discharged patients with schizoaffective disorder

BACKGROUND

Hospital-discharged patients with schizoaffective disorder have a high risk of re-hospitalization. However, limited data exist evaluating critical post-discharge periods during which the risk of re-hospitalization is significant.

OBJECTIVE

Among hospital-discharged patients with schizoaffective disorder, we assessed pharmacotherapy adherence and healthcare utilization and costs during sequential 60-day clinical periods before schizoaffective disorder-related hospitalization and post-hospital discharge.

METHODS

From the MarketScan(®) Medicaid database (2004-2008), we identified patients (≥18 years) with a schizoaffective disorder-related inpatient admission. Study measures including medication adherence and healthcare utilization and costs were assessed during sequential preadmission and post-discharge periods. We conducted univariate and multivariable regression analyses to compare schizoaffective disorder-related and all-cause healthcare utilization and costs (in 2010 US dollars) between each adjacent 60-day post-discharge periods. No adjustment was made for multiplicity.

RESULTS

We identified 1,193 hospital-discharged patients with a mean age of 41 years. The mean medication adherence rate was 46% during the 60-day period prior to index inpatient admission, which improved to 80% during the 60-day post-discharge period. Following hospital discharge, schizoaffective disorder-related healthcare costs were significantly greater during the initial 60-day period compared with the 61- to 120-day post-discharge period (mean US$2,370 vs US$1,765; p < 0.001), with rehospitalization (36%) and pharmacy (40%) accounting for over three-fourths of the initial 60-day period costs. Compared with the initial 60-day post-discharge period, both all-cause and schizoaffective disorder-related costs declined during the 61- to 120-day post-discharge period and remained stable for the remaining post-discharge periods (days 121-365).

CONCLUSIONS

We observed considerably lower (46%) adherence during 60 days prior to the inpatient admission; in comparison, adherence for the overall 6-month period was 8% (54%) higher. Our study findings suggest that both short-term (e.g., 60 days) and long-term (e.g., 6-12 months) medication adherence likely are important characteristics to examine among patients with schizoaffective disorder and help provide a more holistic view of patients' adherence patterns. Furthermore, we observed a high rate of rehospitalization and greater healthcare costs during the initial 60-day period post-discharge among patients with schizoaffective disorder. Further research is required to better understand and manage transitional care after discharge (e.g., monitor adherence), which may help reduce the likelihood of rehospitalization and the associated downstream costs.

Cognition in schizophrenia and schizo-affective disorder: impairments that are more similar than different

BACKGROUND

Cognition is increasingly being recognized as an important aspect of psychotic disorders and a key contributor to functional outcome. In the past, comparative studies have been performed in schizophrenia and schizo-affective disorder with regard to cognitive performance, but the results have been mixed and the cognitive measures used have not always assessed the cognitive deficits found to be specific to psychosis. A set of optimized cognitive paradigms designed by the Cognitive Neuroscience Test Reliability and Clinical Applications for Schizophrenia (CNTRACS) Consortium to assess deficits specific to schizophrenia was used to measure cognition in a large group of individuals with schizophrenia and schizo-affective disorder.

METHOD

A total of 519 participants (188 with schizophrenia, 63 with schizo-affective disorder and 268 controls) were administered three cognitive paradigms assessing the domains of goal maintenance in working memory, relational encoding and retrieval in episodic memory and visual integration.

RESULTS

Across the three domains, the results showed no major quantitative differences between patient groups, with both groups uniformly performing worse than healthy subjects.

CONCLUSIONS

The findings of this study suggests that, with regard to deficits in cognition, considered a major aspect of psychotic disorder, schizophrenia and schizo-affective disorder do not demonstrate major significant distinctions. These results have important implications for our understanding of the nosological structure of major psychopathology, providing evidence consistent with the hypothesis that there is no natural distinction between cognitive functioning in schizophrenia and schizo-affective disorder.

Lifetime trauma, subjective distress, substance use, and PTSD symptoms in people with severe mental illness: comparisons among four diagnostic groups

The current study examines correlations among trauma, high risk behaviors, subjective distress from both trauma and high risk behaviors, and substance use in community mental health clients diagnosed with a severe mental illness, and tests the following key hypothesis: clients with major mood disorders (major depression, bipolar I) will show higher rates of posttraumatic stress disorder (PTSD) symptoms than clients with either schizophrenia or schizoaffective disorder when trauma, high risk behaviors, subjective distress, substance use and gender are controlled. Linear regression demonstrated that only major depression and bipolar disorder varied significantly with PTSD symptoms when controlling for other key factors.

Gray matter volume as an intermediate phenotype for psychosis: Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP)

OBJECTIVE

The study examined gray matter volume across psychosis diagnoses organized by dimensional and DSM-IV categories from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) sample.

METHOD

In total, 351 probands with psychosis (146 with schizophrenia, 90 with schizoaffective disorder, and 115 with psychotic bipolar I disorder), 369 of their first-degree relatives (134 were relatives of individuals with schizophrenia, 106 of individuals with schizoaffective disorder, and 129 of individuals with psychotic bipolar I disorder), and 200 healthy comparison subjects were assessed. Gray matter volumes from 3-T T1-weighted images were analyzed using the VBM8 toolbox for SPM8, and outcomes were determined at a false discovery rate-corrected threshold of p<0.005.

RESULTS

Across the psychosis dimension, probands (N=351) and relatives with psychosis spectrum disorders (N=34) showed substantial overlapping gray matter reductions throughout the neocortex, whereas relatives without psychosis spectrum (N=332) had normal gray matter volumes relative to comparison subjects. Across DSM-IV diagnoses, schizophrenia and schizoaffective probands showed overlapping gray matter reductions in numerous cortical and subcortical regions, whereas psychotic bipolar probands showed limited gray matter reductions localized to the frontotemporal cortex relative to comparison subjects. All relative groups had gray matter volumes that did not differ from comparison subjects.

CONCLUSIONS

Across the dimensional psychosis categories, these findings indicate extensive neocortical gray matter reductions in psychosis probands and relatives with psychosis spectrum disorders, possibly reflecting lifetime psychosis burden, but normal gray matter in nonpsychotic relatives. Traditional DSM-IV psychosis grouping revealed partially divergent gray matter phenotypes for probands with schizophrenia or schizoaffective disorder (extensive neocortical or subcortical gray matter reductions) relative to those with psychotic bipolar disorder (smaller reductions were limited to frontotemporal regions). The dimensional conceptualization of psychosis appears useful in defining more homogenous disease categories that may help identify underlying psychosis biomarkers and develop a biologically driven diagnostic system and targeted treatments.

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.

Oligodendroglial alterations and the role of microglia in white matter injury: relevance to schizophrenia

Schizophrenia is a chronic and debilitating mental illness characterized by a broad range of abnormal behaviors, including delusions and hallucinations, impaired cognitive function, as well as mood disturbances and social withdrawal. Due to the heterogeneous nature of the disease, the causes of schizophrenia are very complex; its etiology is believed to involve multiple brain regions and the connections between them, and includes alterations in both gray and white matter regions. The onset of symptoms varies with age and severity, and there is some debate over a degenerative or developmental etiology. Longitudinal magnetic resonance imaging studies have detected progressive gray matter loss in the first years of disease, suggesting neurodegeneration; but there is also increasing recognition of a temporal association between clinical complications at birth and disease onset that supports a neurodevelopmental origin. Presently, neuronal abnormalities in schizophrenia are better understood than alterations in myelin-producing cells of the brain, the oligodendrocytes, which are the predominant constituents of white matter structures. Proper white matter development and its structural integrity critically impacts brain connectivity, which affects sensorimotor coordination and cognitive ability. Evidence of defective white matter growth and compromised white matter integrity has been found in individuals at high risk of psychosis, and decreased numbers of mature oligodendrocytes are detected in schizophrenia patients. Inflammatory markers, including proinflammatory cytokines and chemokines, are also associated with psychosis. A relationship between risk of psychosis, white matter defects and prenatal inflammation is being established. Animal models of perinatal brain injury are successful in producing white matter damage in the brain, typified by hypomyelination and/or dysmyelination, impaired motor coordination and prepulse inhibition of the acoustic startle reflex, recapitulating structural and functional characteristics observed in schizophrenia. In addition, elevated expression of inflammation-related genes in brain tissue and increased production of cytokines by blood cells from patients with schizophrenia indicate immunological dysfunction and abnormal inflammatory responses, which are also important underlying features in experimental models. Microglia, resident immune defenders of the central nervous system, play important roles in the development and protection of neural cells, but can contribute to injury under pathological conditions. This article discusses oligodendroglial changes in schizophrenia and focuses on microglial activity in the context of the disease, in neonatal brain injury and in various experimental models of white matter damage. These include disorders associated with premature birth, and animal models of perinatal bacterial and viral infection, oxygen deprivation (hypoxia) and excess (hyperoxia), and elevated systemic proinflammatory cytokine levels. We briefly review the effects of treatment with antipsychotic and anti-inflammatory agents in models of perinatal brain injury, and comment on the therapeutic potential of these strategies. By understanding the neurobiological basis of oligodendroglial abnormalities in schizophrenia, it is hoped that patients will benefit from the availability of targeted and more efficacious treatment options.

Differences in trauma and posttraumatic stress symptoms in clients with schizophrenia spectrum and major mood disorders

The current study of 371 community mental health clients with severe mental illness examined differences in frequency of common lifetime trauma and other stressful events in clients with schizophrenia spectrum and major mood disorders in order to gauge the unique variance in posttraumatic stress symptoms explained by trauma/stressful events when controlling for other psychiatric measures. The overwhelming majority (88.1%) of these clients reported at least one stressful/traumatic event in their lifetime with a median of seven such events. Regression modeling revealed that physical abuse was uniquely predictive of posttraumatic stress symptoms when controlling for gender, psychiatric symptoms, and other problems in functioning. Suggestions for future trauma research include measuring multiple types and frequencies of traumatic events, including "non-criterion A" stressors, and controlling for other psychiatric symptoms and indicators of psychosocial functioning in order to better isolate the unique effects of trauma. Limitations of the study include the lack of a structured interview schedule for diagnosis and the cross sectional design.

Abstinence self-efficacy in people with severe mental illness

To validate the Brief Situational Confidence Questionniare (BSCQ) with people diagnosed with severe mental illness (N=129), we examined the associations between abstinence self-efficacy (BSCQ) and alcohol consumption level (within the previous 6months), drug use, and problems related to substance use while controlling for key symptoms of major mental illness and motives for alcohol use (Drinking Motives Questionnaire). Regression models revealed that abstinence self-efficacy was a significant predictor of all three substance use measures suggesting that, even when controlling for psychiatric symptoms and substance use motives, abstinence self-efficacy accounts for unique variance in alcohol use, drug use, and related problems. This study is limited by the cross sectional design and lack of structured diagnostic interviewing.

Treatment and outcomes of an Australian cohort of outpatients with bipolar I or schizoaffective disorder over twenty-four months: implications for clinical practice

BACKGROUND

The Bipolar Comprehensive Outcomes Study (BCOS) is a 2-year, prospective, non-interventional, observational study designed to explore the clinical and functional outcomes associated with 'real-world' treatment of participants with bipolar I or schizoaffective disorder. All participants received treatment as usual. There was no study medication.

METHODS

Participants prescribed either conventional mood stabilizers (CMS; n = 155) alone, or olanzapine with, or without, CMS (olanzapine ± CMS; n = 84) were assessed every 3 months using several measures, including the Young Mania Rating Scale, 21-item Hamilton Depression Rating Scale, Clinical Global Impressions Scale - Bipolar Version, and the EuroQol Instrument. This paper reports 24-month longitudinal clinical, pharmacological, functional, and socioeconomic data.

RESULTS

On average, participants were 42 (range 18 to 79) years of age, 58%; were female, and 73%; had a diagnosis of bipolar I. Polypharmacy was the usual approach to pharmacological treatment; participants took a median of 5 different psychotropic medications over the course of the study, and spent a median proportion of time of 100%; of the study on mood stabilizers, 90%; on antipsychotics, 9%; on antidepressants, and 5%; on benzodiazepines/hypnotics. By 24 months, the majority of participants had achieved both symptomatic and syndromal remission of both mania and depression. Symptomatic relapse rates were similar for both the CMS alone (65%;) and the olanzapine ± CMS (61%;) cohorts.

CONCLUSIONS

Participants with bipolar I or schizoaffective disorder in this study were receiving complex medication treatments that were often discordant with recommendations made in contemporary major treatment guidelines. The majority of study participants demonstrated some clinical and functional improvements, but not all achieved remission of symptoms or syndrome.

Brain gray matter phenotypes across the psychosis dimension

This study sought to examine whole brain and regional gray matter (GM) phenotypes across the schizophrenia (SZ)-bipolar disorder psychosis dimension using voxel-based morphometry (VBM 8.0 with DARTEL segmentation/normalization) and semi-automated regional parcellation, FreeSurfer (FS 4.3.1/64 bit). 3T T1 MPRAGE images were acquired from 19 volunteers with schizophrenia (SZ), 16 with schizoaffective disorder (SAD), 17 with psychotic bipolar I disorder (BD-P) and 10 healthy controls (HC). Contrasted with HC, SZ showed extensive cortical GM reductions, most pronounced in fronto-temporal regions; SAD had GM reductions overlapping with SZ, albeit less extensive; and BD-P demonstrated no GM differences from HC. Within the psychosis dimension, BD-P showed larger volumes in fronto-temporal and other cortical/subcortical regions compared with SZ, whereas SAD showed intermediate GM volumes. The two volumetric methodologies, VBM and FS, revealed highly overlapping results for cortical GM, but partially divergent results for subcortical volumes (basal ganglia, amygdala). Overall, these findings suggest that individuals across the psychosis dimension show both overlapping and unique GM phenotypes: decreased GM, predominantly in fronto-temporal regions, is characteristic of SZ but not of psychotic BD-P, whereas SAD display GM deficits overlapping with SZ, albeit less extensive.

Development and psychometric evaluation of a clinical global impression for schizoaffective disorder scale

OBJECTIVE

The Clinical Global Impression for Schizoaffective Disorder scale is a new rating scale adapted from the Clinical Global Impression scale for use in patients with schizoaffective disorder. The psychometric characteristics of the Clinical Global Impression for Schizoaffective Disorder are described.

DESIGN

Content validity was assessed using an investigator questionnaire. Inter-rater reliability was determined with 12 sets of videotaped interviews rated independently by two trained individuals. Test-retest reliability was assessed using 30 randomly selected raters from clinical trials who evaluated the same videos on separate occasions two weeks apart. Convergent and divergent validity and effect size were evaluated by comparing scores between the Clinical Global Impression for Schizoaffective Disorder and the Positive and Negative Syndrome Scale, 21-item Hamilton Rating Scale for Depression, and Young Mania Rating Scale scales using pooled patient data from two clinical trials. Clinical Global Impression for Schizoaffective Disorder scores were then linked to corresponding Positive and Negative Syndrome Scale scores.

RESULTS

Content validity was strong. Inter-rater agreement was good to excellent for most scales and subscales (intra-class correlation coefficient ≥ 0.50). Test-retest showed good reproducibility, with intraclass correlation coefficients ranging from 0.444 to 0.898. Spearman correlations between Clinical Global Impression for Schizoaffective Disorder domains and corresponding symptom scales were 0.60 or greater, and effect sizes for Clinical Global Impression for Schizoaffective Disorder overall and domain scores were similar to Positive and Negative Syndrome Scale Young Mania Rating Scale, and 21-item Hamilton Rating Scale for Depression scores. Raters anticipated that the scale might be less effective in distinguishing negative from depressive symptoms, and, in fact, the results here may reflect that clinical reality.

CONCLUSION

Multiple lines of evidence support the reliability and validity of the Clinical Global Impression for Schizoaffective Disorder for studies in schizoaffective disorder.