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Lieuwe de Haan

Publications and source records attributed to Lieuwe de Haan.

At least 19 recordsLinked to original sources
PubMed2026

Neurometabolites and Antipsychotic Response in Psychosis: A Mega-Analysis.

IMPORTANCE: Revealing neurobiological markers of antipsychotic nonresponse in psychosis may aid outcome prediction and inform novel treatment targets. OBJECTIVE: To examine differences in neurometabolites in antipsychotic nonresponsive compared to antipsychotic-responsive psychosis using individual participant data and meta-analysis. DATA SOURCES: Web of Science was searched for studies published between January 1, 1980, and November 1, 2025. Authors of 21 eligible studies identified before August 2024 were invited to contribute individual participant data. STUDY SELECTION: Eighteen studies examining neurometabolites by treatment response in psychosis contributed individual participant data for the mega-analysis. These studies plus a further 5 studies were included in the meta-analyses of standardized mean differences and variability. DATA EXTRACTION AND SYNTHESIS: Individual participant data were analyzed using linear mixed models with study as a random effect. Subgroup analyses examined prospective designs and treatment-resistant samples. Published group means and standard deviations were extracted for meta-analyses. MAIN OUTCOMES AND MEASURES: Group differences in glutamate, glutamate plus glutamine, choline, myo-inositol, N-acetylaspartate, γ-aminobutyric acid, and glutathione in the medial frontal cortex, dorsolateral prefrontal cortex, thalamus, and basal ganglia. RESULTS: The mega-analysis included 1189 participants from 18 studies; of these, 476 were treatment nonresponders (mean [SD] age, 33.0 [12.5] years; 340 male), 427 were treatment responders (mean [SD] age, 30.3 [11.5] years; 299 male), and 286 were healthy control individuals (mean [SD] age, 31.0 [12.5] years; 170 male). Compared with the antipsychotic response group, nonresponders showed elevations in medial frontal glutamate (Glass Δ = 0.21; P = .02), glutamate plus glutamine (Glass Δ = 0.29; P = .002), choline (Glass Δ = 0.22; P = .03), and myo-inositol (Glass Δ = 0.35; P = .001); similar elevations were observed relative to control individuals. Elevated medial frontal glutamate plus glutamine in antipsychotic nonresponders compared with responders was also observed prospectively in first-episode psychosis (Glass Δ = 0.41; P = .002), whereas myo-inositol elevations were greatest in individuals meeting criteria for treatment-resistance (Glass Δ = 0.64; P = .001). The meta-analysis of 23 studies (1844 participants) also showed elevated medial frontal choline and myo-inositol in antipsychotic nonresponse compared with response. CONCLUSIONS AND RELEVANCE: These findings provide evidence of an association between antipsychotic nonresponse in psychosis with elevations in medial frontal glutamate, choline, and myo-inositol. The presence of elevations in these markers supports the continued investigation of glutamate-acting and inflammatory pathway-associated interventions for psychosis and schizophrenia.

Humans↗
PubMed2006

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.

Affect↗
PubMed2006

The five-factor model of the Positive and Negative Syndrome Scale I: confirmatory factor analysis fails to confirm 25 published five-factor solutions.

OBJECTIVE: The aim of this study was to test the goodness-of-fit of all previously published five-factor models of the Positive and Negative Syndrome Scale (PANSS). METHODS: We used confirmatory factor analysis (CFA) with a large data set (N = 5769). RESULTS: The different subsamples were tested for heterogeneity and were found to be homogeneous. This indicates that despite variability in age, sex, duration of illness, admission status, etc., in the different subsamples, the structure of symptoms is the same for all patients with schizophrenia. Although previous research has shown that a five-factor model fits the data better than models with three or four factors, no satisfactory fit for any of the 25 published five-factor models was found with CFA. CONCLUSIONS: Variability in age, sex, admission status and duration of illness has no substantial effect on the structure of symptoms in schizophrenia. The lack of fit can be caused by ill-defined items that aim to measure several properties in a single rating. Another explanation is that well-defined symptoms can have two or more causes. Then a double or triple loading item should not be discarded, but included because the complexity of symptoms in schizophrenia is represented by these multiple loadings. Such a complex model not only needs confirmation by CFA, but also has to be proven stable. A 10-fold cross-validation is suggested to develop a complex and stable model.

Adolescent↗
PubMed2006

Schizophrenia-associated neural growth factors in peripheral blood. A review.

In this paper we review the findings on neural growth factors in the peripheral blood of schizophrenia patients. The studies we review provide evidence for the fact that in schizophrenia the levels of growth factors in peripheral blood are disturbed. The most robust results (7 studies) are reported for S100B protein, which seems to be elevated in acute psychosis and in patients with predominant negative symptoms. We conclude that there are aberrant levels of growth factors in peripheral blood in schizophrenia patients, probably most notably in patients with negative symptoms. Large-scale longitudinal multivariate studies, investigating the levels of several growth factors at the same time might give insight in etiological processes and identify clinically useful subsets of patients within the heterogeneous schizophrenia sample.

Humans↗
PubMed2006

Reliability and validity of the Yale-Brown Obsessive-Compulsive Scale in schizophrenia patients.

Although a sizeable minority of people with schizophrenia manifest obsessive and compulsive symptoms, to our knowledge there are no studies of the psychometric performance of measures such as the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS). The present study examined psychometric properties of the Y-BOCS in patients with recent-onset schizophrenia and comorbid obsessive-compulsive symptoms (OCS). To 37 patients with recent-onset schizophrenia and related disorders and comorbid OCS taken from 135 consecutively admitted patients we administered the Y-BOCS at admission and 6 weeks later. The Y-BOCS showed good internal consistency and interrater reliability in this population; however, findings concerning the divergent validity against depressive and negative symptoms are inconsistent.

Adolescent↗
PubMed2005

Occupancy of dopamine D2 receptors by antipsychotic drugs is related to nicotine addiction in young patients with schizophrenia.

RATIONALE: Occupancy of dopamine D2 receptors by antipsychotic drugs depends on the individual availability of D2 receptors and on the dose and type of antipsychotic medication. It has been suggested that a low availability of these receptors may increase the risk for addictive behavior. OBJECTIVE: This study aims to show that patients with relatively high occupancy of D2 receptors by antipsychotic drugs are more prone to nicotine consumption. METHODS: Striatal D2 receptor occupancy by equivalent doses of olanzapine or risperidone was assessed with [123I]iodobenzamide single-photon emission computed tomography (SPECT) in 36 patients with schizophrenia. Smoking status at the time of SPECT imaging was assessed. The number of cigarettes used in the following three consecutive years was estimated with the Life Chart Schedule (LCS). RESULTS: There was a positive and significant relation between D2 receptor occupancy following treatment with olanzapine (n=19) or risperidone (n=12) and the number of cigarettes smoked in three consecutive years (r=0.60, p<0.001) in patients who smoked. There was a significant difference in the percentage of D2 occupancy for smokers (mean 74.3%, SD 12.8, n=31) and nonsmokers (mean 49.8%, SD 9.1, n=5). CONCLUSION: Frequency of cigarette smoking in schizophrenic patients treated with antipsychotic medication is significantly and negatively related to the availability of striatal D2 receptors.

Adult↗
PubMed2005

Obsessive-compulsive symptoms and positive, negative, and depressive symptoms in patients with recent-onset schizophrenic disorders.

OBJECTIVES: To study the relation between obsessive-compulsive symptoms (OCS) and positive, negative, and depressive symptoms in patients with recent-onset schizophrenic disorders. METHODS: We undertook a prospective study of 113 consecutively hospitalized patients with recent-onset schizophrenia or related disorders diagnosed according to DSM-IV criteria. We compared 3 subgroups: one without comorbid OCS, one with OCS not fulfilling DSM-IV criteria for obsessive-compulsive disorder (OCD), and one with comorbid OCD diagnosed according to DSM-IV criteria. We assessed OCS severity at admission and 6 weeks thereafter with the Yale-Brown Obsessive Compulsive Scale (Y-BOCS). The Positive and Negative Syndrome Scale (PANSS) and the Montgomery-Asberg Depression Rating Scale (MADRS) were independently administered. RESULTS: At admission, patients with schizophrenic disorders and OCD had higher mean MADRS scores than both other groups; patients with OCS not fulfilling DSM-IV criteria for OCD had lower mean PANSS negative subscale scores than both other groups. After 6 weeks, there were no significant between-group differences, and OCS severity remained constant. CONCLUSIONS: Acute patients with recent-onset schizophrenia and OCD have more severe depressive symptoms but do differ in negative symptoms, compared with patients without comorbid OCD. Mild OCS may be related to less severe negative symptoms. During regular inpatient treatment, OCS severity remains constant

Acute Disease↗
PubMed2005

Modelling the treated course of schizophrenia: development of a discrete event simulation model.

In schizophrenia, modelling techniques may be needed to estimate the long-term costs and effects of new interventions. However, it seems that a simple direct link between symptoms and costs does not exist. Decisions about whether a patient will be hospitalized or admitted to a different healthcare setting are based not only on symptoms but also on social and environmental factors. This paper describes the development of a model to assess the dependencies between a broad range of parameters in the treatment of schizophrenia. In particular, the model attempts to incorporate social and environmental factors into the decision-making process for the prescription of new drugs to patients. The model was used to analyse the potential benefits of improving compliance with medication by 20% in patients in the UK. A discrete event simulation (DES) model was developed, to describe a cohort of schizophrenia patients with multiple psychotic episodes. The model takes into account the patient's sex, disease severity, potential risk of harm to self and society, and social and environmental factors. Other variables that change over time include the number of psychiatric consultations, the presence of psychotic episodes, symptoms, treatments, compliance, side-effects, the lack of ability to take care of him/herself, care setting and risk of harm. Outcomes are costs, psychotic episodes and symptoms. Univariate and multivariate sensitivity analyses were performed. Direct medical costs were considered (year of costing 2002), applying a 6.0% discount rate for costs and a 1.5% discount rate for outcome. The timeframe of the model is 5 years. When 50% of the decisions about the patient care setting are based on symptoms, a 20% increase in compliance was estimated to save 16,147 pounds and to avoid 0.55 psychotic episodes per patient over 5 years. Sensitivity analysis showed that the costs savings associated with increased compliance are robust over a range of variations in parameters. DES offers a flexible structure for modelling a disease, taking into account how a patient's history affects the course of the disease over time. This approach is particularly pertinent to schizophrenia, in which treatment decisions are complex. The model shows that better compliance increases the time between relapses, decreases the symptom score, and reduces the requirement for treatment in an intensive patient care setting, leading to cost savings. The extent of the cost savings depends on the relative importance of symptoms and of social and environmental factors in these decisions.

Adult↗
PubMed2004

Subjective experience and dopamine D2 receptor occupancy in patients treated with antipsychotics: clinical implications.

OBJECTIVES: This paper gives an overview of studies on the association between dopaminergic neurotransmission and the subjective experience of patients with schizophrenia. METHODS: We undertook a review of the literature. RESULTS: Dopaminergic neurotransmission may be relevant for subjective experience. Higher striatal D2 receptor occupancy by typical and atypical antipsychotics is related to worse subjective experience, more severe negative symptoms, and depression. Individuals with lower baseline dopamine function are at an increased risk for dysphoric responses during antipsychotic therapy with dopaminergic-blocking drugs. There is preliminary evidence that a window of striatal D2 receptor occupancy between 60% and 70% is optimal for the subjective experience of patients. These occupancies are often reached even with low dosages of antipsychotic drugs. CONCLUSIONS: Reaching an optimal dopamine D2 receptor occupancy is clinically relevant, since subjective experience associated with antipsychotic medication is related to medication compliance. Antipsychotic drug dosages often need to be lower than levels in common use.

Antipsychotic Agents↗