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Background: Persons with psychotic illnesses have an increased risk for suicide, especially early in the illness. Sufficient knowledge allowing for early recognition is lacking., Objectives: To describe suicide behaviors before and during the 4 years following first psychiatric hospitalization, examine associations of demographic and psychiatric risk factors, and develop a suicide risk index., Method: Data came from the Suffolk County Mental Health Project, a first-admission cohort (n = 529). Cox regression was used to study associations of risk factors to suicide behaviors; a summary suicide behavior risk index was also tested., Results: Prior to first admission, 28.0% (n = 148) of the cohort had attempted suicide. During the 4-year follow-up, 13.6% (n = 72) of the cohort attempted suicide (29.7% of those with previous attempts and 7.3% making their first attempt) and 3 respondents died of suicide. The significant predictors at index admission of subsequent attempts were prior attempts or ideation, severity of depressive symptoms and thought disorder, lifetime substance abuse, and younger age. Suicide ideation was predicted by the same variables with the addition of insight into illness and with the exception of age at admission. A 3-category risk index was created; 61.1% of those who made a suicide attempt were in the highest risk group (n = 44/72)., Conclusion: The current study confirms and extends previous research showing that risk factors early in the course of illness are predictive of subsequent ideation and attempts. The risk index may be a useful adjunct in identifying individuals likely to benefit from preventive interventions.

Background: Mounting evidence suggests that compromised neurocognitive function is a central feature of schizophrenia. There are, however, schizophrenia patients with a normal neuropsychological (NP) performance, but estimates of the proportion of NP normal patients vary considerably between studies. Neurocognitive dysfunction is also a characteristic of other psychotic disorders, yet there are inconsistencies in the literature regarding the similarity to impairments in schizophrenia. NP normality in psychotic affective disorders has not been systematically studied., Methods: Data came from the Suffolk County Mental Health Project, an epidemiological study of first-admission patients with psychotic disorders. Respondents with a diagnosis of schizophrenia (N = 94) or schizoaffective disorder (N = 15), bipolar disorder (N = 78), and major depressive disorder (N = 48) were administered a battery of NP tests assessing 8 cognitive domains 2 years after index admission. Patients' performance profile was compared, and their NP status was classified based on 3 previously published criteria that vary in their stringency., Results: The 4 diagnostic groups had comparable NP performance profile patterns. All groups demonstrated impairments in memory, executive functions, and attention and processing speed. However, schizophrenia patients were more impaired than the other groups on all cognitive domains. Results were not attenuated when IQ was controlled. Prevalence of NP normality ranged between 16% and 45% in schizophrenia, 20% and 33% in schizoaffective disorder, 42% and 64% in bipolar disorder, and 42% and 77% in depression, depending on the criterion employed., Conclusions: Evidence suggests that differences in NP performance between schizophrenia and psychotic affective disorders are largely quantitative. NP impairment is also common in psychotic affective disorders. A significant minority of schizophrenia patients are NP normal.

Dropout is often used as an outcome measure in clinical trials of antipsychotic medication. Previous research is inconclusive regarding (a) differences in dropout rates between first- and second-generation antipsychotic medications and (b) how trial design features reduce dropout. Meta-analysis of randomized controlled trials (RCTs) of antipsychotic medication was conducted to compare dropout rates for first- and second-generation antipsychotic drugs and to examine how a broad range of design features effect dropout. Ninety-three RCTs that met inclusion criteria were located (n = 26 686). Meta-analytic random effects models showed that dropout was higher for first- than second-generation drugs (odds ratio = 1.49, 95% confidence interval: 1.31-1.66). This advantage persisted after removing study arms with excessively high dosages, in flexible dose studies, studies of patients with symptom exacerbation, nonresponder patients, inpatients, and outpatients. Mixed effects models for meta-analysis were used to identify design features that effected dropout and develop formulae to derive expected dropout rates based on trial design features, and these assigned a pivotal role to duration. Collectively, dropout rates are lower for second- than first-generation antipsychotic drugs and appear to be partly explained by trial design features thus providing direction for future trial design.

Objective: The extent to which noncompletion of a clinical trial relates to outcomes has implications for choosing the most appropriate method for contending with missing data due to dropout. We examined whether dropout relates to outcome in clinical trials of antipsychotic medication., Methods: Data from 5 large clinical trials of schizophrenia (n=3483) were examined separately. Patients were aggregated into groups based on their final study visit. Group mean Positive and Negative Syndrome Scale (PANSS) total scores for each visit were computed and graphed. Change from baseline to end point for each group was computed and examined using ANCOVA. Cox regression modeling was used to examine baseline PANSS total and change as predictors of time to dropout., Results: In all 5 trials there was a statistically significantly relationship between time in trial and improvement. The longer the patients remained in the trial the more that they improved, with trial completers showing the most improvement at each time point. Higher baseline PANSS scores and symptom deterioration indicated by increased PANSS preceding the final study visit prior to dropout corresponded significantly with a greater likelihood of dropout., Conclusions: Dropout in clinical trials of antipsychotic medications corresponds with efficacy outcomes, the dynamics of symptom change and baseline symptom severity. Therefore, methods for statistical analysis should examine both efficacy and dropout and cannot assume that missing data due to dropout are completely at random.

Background: Inconsistent findings obscure understanding the relationship between socioeconomic status (SES) and schizophrenia. The aim of the current study was to test the association between individual and community SES at birth and risk of schizophrenia., Method: Population-based longitudinal follow forward study of a 13-year birth cohort (n = 71 165). Effects of individual and community socioeconomic variables were examined using multilevel regression in MLwiN., Results: Years of education of fathers and mothers, respectively, (0-8 vs 13+ odds ratio [OR] = 1.17, P < .0001; OR = 1.14, P < .001) lower occupational status of fathers (OR = 1.29, P = .036), and poorer residential area SES (OR = 1.26, P = .012) were risk factors for schizophrenia., Conclusions: Individual- and community-level SES at the time of birth are associated with an increased risk of schizophrenia.