Kraepelin Was Right: A Latent Class Analysis of Symptom Dimensions in Patients and Controls

Phenotypic heterogeneity within patients and controls may explain why the genetic variants contributing to schizophrenia risk explain only a fraction of the heritability. The aim of this study is to investigate quantitative and qualitative differences in psychosis symptoms in a sample including psychosis patients, their relatives, and community controls. We combined factor analysis and latent class analysis to analyze variation in Comprehensive Assessment of Symptoms and History lifetime-rated symptoms in 4286 subjects. The Wechsler Adult Intelligence Scale-Intelligence Quotient (N = 2663) and the Camberwell Assessment of Need rating scale (N = 625) were assessed in a subsample. Variation in 5 continuous dimensions (disorganization, positive, negative, mania, and depression) was accounted for by the presence of 7 homogeneous classes (Kraepelinian schizophrenia, affective psychosis, manic-depression, deficit nonpsychosis, depression, healthy, and no symptoms). Eighty-five percent of the schizophrenia patients was assigned to the Kraepelinian schizophrenia class (characterized by high scores on the 5 dimensions, low IQ, and poor outcome) while 15% was assigned to the affective psychosis class (relatively low disorganization and negative scores, normal IQ, and good outcome). In bipolar patients (91% bipolar I), 41% was assigned to the Kraepelinian schizophrenia class, 44% to the affective psychosis class, and 10% to the manic-depression class. Latent class membership was associated with intelligence in psychosis patients and in their relatives but not in community controls. In conclusion, symptom heterogeneity is more pronounced in bipolar disorder compared with schizophrenia. Reducing phenotypic heterogeneity within psychosis patients and controls may facilitate etiological researc

Kraepelin was right: a latent class analysis of symptom dimensions in patients and controls

Phenotypic heterogeneity within patients and controls may explain why the genetic variants contributing to schizophrenia risk explain only a fraction of the heritability. The aim of this study is to investigate quantitative and qualitative differences in psychosis symptoms in a sample including psychosis patients, their relatives, and community controls. We combined factor analysis and latent class analysis to analyze variation in Comprehensive Assessment of Symptoms and History lifetime-rated symptoms in 4286 subjects. The Wechsler Adult Intelligence Scale-Intelligence Quotient (N = 2663) and the Camberwell Assessment of Need rating scale (N = 625) were assessed in a subsample. Variation in 5 continuous dimensions (disorganization, positive, negative, mania, and depression) was accounted for by the presence of 7 homogeneous classes (Kraepelinian schizophrenia, affective psychosis, manic-depression, deficit nonpsychosis, depression, healthy, and no symptoms). Eighty-five percent of the schizophrenia patients was assigned to the Kraepelinian schizophrenia class (characterized by high scores on the 5 dimensions, low IQ, and poor outcome) while 15% was assigned to the affective psychosis class (relatively low disorganization and negative scores, normal IQ, and good outcome). In bipolar patients (91% bipolar I), 41% was assigned to the Kraepelinian schizophrenia class, 44% to the affective psychosis class, and 10% to the manic-depression class. Latent class membership was associated with intelligence in psychosis patients and in their relatives but not in community controls. In conclusion, symptom heterogeneity is more pronounced in bipolar disorder compared with schizophrenia. Reducing phenotypic heterogeneity within psychosis patients and controls may facilitate etiological research.status: publishe

Schizophrenic patients without neuropsychological deficits: subgroup, disease severity or cognitive compensation?

Some schizophrenic patients do not show clinically relevant cognitive deficits. The question remains whether this represents the existence of an etiologically different subgroup, a general effect of disease severity or whether their cognitive deficits do not reach a clinical threshold due to a greater cognitive compensation ('brain reserve') capacity. A group of 23 out of 118 first onset patients was identified as cognitively normal (CN). The cognitive profile of these patients was compared with that of 45 healthy controls. Next these patients were compared with the cognitively impaired (CI) patients on obstetric complications (OCs), premorbid adjustment, age at onset, Positive and Negative Syndrome Scale ratings, social functioning and substance abuse. In addition both groups were compared on intelligence and educational level as indirect indicators of cognitive compensation capacity. There were no differences in OCs, premorbid adjustment, age at onset, psychopathology or substance abuse between the two patient groups. There was a significant difference in social functioning, which is a consequence rather than a cause of cognitive deficits. However, the CN patients scored significantly higher on measures of intelligence and educational level than the CI patients. This suggests that a difference in cognitive compensation capacity could explain the existence of a CN patient grou

Caregiver burden in recent-onset schizophrenia and spectrum disorders: The influence of symptoms and personality traits

Earlier studies that used two symptom dimensions indicate that the caregiver burden for patients with schizophrenia is significantly determined by their negative symptoms. The purpose of this study is to examine the relationship between symptom severity in recent-onset schizophrenia and caregiver burden in a more differentiated way (i.e., five-symptom dimensions). Based on previous research, which shows that patients' personality traits influence the course of schizophrenia, we theorize that personality traits could also influence caregiver burden. So far, this hypothesis has never been studied. Therefore, the second purpose of a-Lis study is to examine whether patients' personality traits would contribute to caregiver burden. The results of this study showed that the disorganization symptom component was the predicting variable of the subscales supervision, tension, urging, distress, and the overall amount of caregiver burden in a linear regression analysis. Personality traits of patients played no substantial role in caregiver burden. These findings suggest that psychoeducational programs should address the severity of disorganization symptoms to reduce caregiver burden in the early phase of schizophreni

Central nervous system effects of haloperidol on THC in healthy male volunteers

In this study, the hypothesis that haloperidol would lead to an amelioration of Δ9-tetrahydrocannabinol (THC)-induced 'psychotomimetic' effects was investigated. In a double-blind, placebo-controlled, partial three-way crossover ascending dose study the effects of THC, haloperidol and their combination were investigated in 35 healthy, male mild cannabis users, measuring Positive and Negative Syndrome Scale, Visual Analogue Scales for alertness, mood, calmness and psychedelic effects, saccadic and smooth pursuit eye measurements, electroencephalography, Body Sway, Stroop test, Visual and Verbal Learning Task, hormone levels and pharmacokinetics. Compared with placebo, THC significantly decreased smooth pursuit, Visual Analogue Scales alertness, Stroop test performance, immediate and delayed word recall and prolactin concentrations, and significantly increased positive and general Positive and Negative Syndrome Scale score, Visual Analogue Scales feeling high, Body Sway and electroencephalography alpha. Haloperidol reversed the THC-induced positive Positive and Negative Syndrome Scale increase to levels observed with haloperidol alone, but not THC-induced 'high' feelings. Compared with placebo, haloperidol significantly decreased saccadic peak velocity, smooth pursuit, Visual Analogue Scales mood and immediate and delayed word recall and significantly increased Body Sway, electroencephalography theta and prolactin levels. THC-induced increases in positive Positive and Negative Syndrome Scale but not in Visual Analogue Scales feeling high were reversed by haloperidol. This indicates that psychotic-like effects induced by THC are mediated by dopaminergic systems, but that other systems are involved in 'feeling high'. Additionally, the clear reductions of psychotic-like symptoms by a clinically relevant dose of haloperidol suggest that THC administration may be a useful pharmacological cannabinoid model for psychotic effects in healthy volunteers

The five-factor model of the Positive and Negative Syndrome Scale II: a ten-fold cross-validation of a revised model

OBJECTIVE: The lack of fit of 25 previously published five-factor models for the PANSS items, can be due to the statistics used. The purpose of this study was to use a 'new' statistical method to develop and confirm an improved five-factor model. The improved model is both complex and stable. Complex means that symptoms can have multiple factor loadings, because they have multiple causes, not because they are ill defined. Stable means that the complex structure is found repeatedly in validations. METHODS: A ten-fold cross-validation (10 CV) was applied on a large data set (N = 5769) to achieve an improved factor model for the PANSS items. The advantages of 10 CV are minimal effect of sample characteristics and the ability to investigate the stability of items loading on multiple factors. RESULTS: The results show that twenty-five items contributed to the same factor all ten validations with one item showing a consistent loading on two factors. Three items were contributing to the same factor nine out of ten validations, and two items were contributing to the same factor six to eight times. The resulting five-factor model covers all thirty items of the PANSS, subdivided in the factors: positive symptoms, negative symptoms, disorganization, excitement, and emotional distress. The five-factor model has a satisfactory goodness-of-fit (Comparative Fit Index = .905; Root Mean Square Error of Approximation = .052). CONCLUSIONS: The five-factor model developed in this study is an improvement above previously published models as it represents a complex factor model and is more stable.status: publishe