[Towards personalized treatment with clozapine]. / Op naar een gepersonaliseerde clozapinebehandeling.

BACKGROUND: Clozapine is the most effective treatment for people with treatment-resistant schizophrenia. However, it is prescribed less often than guidelines indicate. AIM: To personalize clozapine treatment, we investigated the efficacy of clozapine as first- or second-line treatment and investigated whether there are factors that were associated with efficacy and side effects. METHOD: We collected a unique cohort of over 800 clozapine users diagnosed with a schizophrenia spectrum disorder. We meta-analyzed factors that were associated with response during clozapine treatment. Additionally, we conducted genetic association analyses to investigate the relations between side effects and symptom severity during clozapinetreatment. RESULTS: From our meta-analyses, we found that clozapine was more effective when used as a first- or second-line treatment. Furthermore, we found that younger age, less negative symptoms and the paranoid subtype of schizophreniawere associated with a better clozapine response. Several specific locations on genes (loci) were associated with clozapine-induced agranulocytosis and neutropenia, while polygenic risk scores were associated with symptom severity. CONCLUSION: We found that clozapine could be effective earlier in treatment and identified factors that could aid the prediction of< response to clozapine treatment in the future. These finding could contribute to the start of a personalized clozapine treatment.

Genome-wide association analyses of symptom severity among clozapine-treated patients with schizophrenia spectrum disorders.

Clozapine is the most effective antipsychotic for patients with treatment-resistant schizophrenia. However, response is highly variable and possible genetic underpinnings of this variability remain unknown. Here, we performed polygenic risk score (PRS) analyses to estimate the amount of variance in symptom severity among clozapine-treated patients explained by PRSs (R2) and examined the association between symptom severity and genotype-predicted CYP1A2, CYP2D6, and CYP2C19 enzyme activity. Genome-wide association (GWA) analyses were performed to explore loci associated with symptom severity. A multicenter cohort of 804 patients (after quality control N = 684) with schizophrenia spectrum disorder treated with clozapine were cross-sectionally assessed using the Positive and Negative Syndrome Scale and/or the Clinical Global Impression-Severity (CGI-S) scale. GWA and PRS regression analyses were conducted. Genotype-predicted CYP1A2, CYP2D6, and CYP2C19 enzyme activities were calculated. Schizophrenia-PRS was most significantly and positively associated with low symptom severity (p = 1.03 × 10-3; R2 = 1.85). Cross-disorder-PRS was also positively associated with lower CGI-S score (p = 0.01; R2 = 0.81). Compared to the lowest tertile, patients in the highest schizophrenia-PRS tertile had 1.94 times (p = 6.84×10-4) increased probability of low symptom severity. Higher genotype-predicted CYP2C19 enzyme activity was independently associated with lower symptom severity (p = 8.44×10-3). While no locus surpassed the genome-wide significance threshold, rs1923778 within NFIB showed a suggestive association (p = 3.78×10-7) with symptom severity. We show that high schizophrenia-PRS and genotype-predicted CYP2C19 enzyme activity are independently associated with lower symptom severity among individuals treated with clozapine. Our findings open avenues for future pharmacogenomic projects investigating the potential of PRS and genotype-predicted CYP-activity in schizophrenia.

[Validation of the Dutch Glasgow Anti- psychotic Side-Effect Scale for Clozapine]. / Glasgow Antipsychotica Bijwerkingen Schaal voor Clozapine; validatie van de Nederlandstalige versie.

BACKGROUND: To monitor the unique side effect pattern of clozapine, the Glasgow Antipsychotic Side-effect Scale for Clozapine (GASS-C) was developed in English and validated. This questionnaire was previously translated to Dutch, and revised, but not yet validated. AIM: The current study concerns the validation of the second revision of the GASS-C-NL-R2 for the Dutch language. METHOD: Two Spearman correlation tests were conducted to compare GASS-C-NL-R2 with the Dutch version of the Liverpool University Neuroleptic Side-Effect Rating Scale (LUNSERS) at two time p´oints. There was one week between these two time points. The test-retest reliability was determined using a Spearman correlation test and Cronbach's alpha on the GASS-C-NL-R2 between the two time points. In addition, a factor analysis was performed. RESULTS: Spearman's correlation coefficient between the GASS-C-NL-R2 and the LUNSERS was 0.830 (p < 0.001, n = 72) at the first time point and 0.684 (p < 0.001, n = 50) at the second time point. GASS-C-NL-R2 also had a strong test-retest reliability: Spearman's correlation coefficient was 0.680 (p < 0.001; n = 46), and Cronbach's alpha was 0.847, n = 78. Factor analysis showed that all questions were relevant. CONCLUSION: The current study shows that GASS-C-NL-R2 is a valid and reliable questionnaire to monitor side effects related to clozapine with a relatively high prevalence. Future studies should focus on the practical utility of GASS-C-NL-R2 with a larger sample size.

Demographic and clinical features as predictors of clozapine response in patients with schizophrenia spectrum disorders: A systematic review and meta-analysis.

OBJECTIVES: Clozapine (CLZ) is prescribed to (relatively) treatment-resistant patients with schizophrenia spectrum disorders. Currently, it is unknown what factors predict response to CLZ. Therefore, we performed meta-analyses to identify predictors of CLZ response, hence aiming to facilitate timely and efficient prescribing of CLZ. METHODS: A systematic search was performed in 'Pubmed' and 'Embase' until 1 January 2019. Articles were eligible if they provided data on predictors of CLZ response measured demographic and clinical factors at baseline or biochemical factors at follow-up in schizophrenia spectrum disorder patients. RESULTS: A total of 34 articles, total number of participants = 9386; N unique = 2094, were eligible. Factors significantly associated with better CLZ response were: lower age, lower PANSS negative score and paranoid schizophrenia subtype. CONCLUSION: The results of our meta-analyses suggest that three baseline demographic and clinical features are associated with better clozapine response, i.e. relatively young age, few negative symptoms and paranoid schizophrenia subtype. These variables may be taken into account by clinicians who consider treating a specific patient with CLZ.

Clozapine as a first- or second-line treatment in schizophrenia: a systematic review and meta-analysis.

OBJECTIVE: No consensus exists on whether clozapine should be prescribed in early stages of psychosis. This systematic review and meta-analysis therefore focus on the use of clozapine as first-line or second-line treatment in non-treatment-resistant patients. METHODS: Articles were eligible if they investigated clozapine compared to another antipsychotic as a first- or second-line treatment in non-treatment-resistant schizophrenia spectrum disorders (SCZ) patients and provided data on treatment response. We performed random-effects meta-analyses. RESULTS: Fifteen articles were eligible for the systematic review (N = 314 subjects on clozapine and N = 800 on other antipsychotics). Our meta-analysis comparing clozapine to a miscellaneous group of antipsychotics revealed a significant benefit of clozapine (Hedges' g = 0.220, P = 0.026, 95% CI = 0.026-0.414), with no evidence of heterogeneity. In addition, a sensitivity analysis revealed a significant benefit of clozapine over risperidone (Hedges' g = 0.274, P = 0.030, 95% CI = 0.027-0.521). CONCLUSION: The few eligible trials on this topic suggest that clozapine may be more effective than other antipsychotics when used as first- or second-line treatment. Only large clinical trials may comprehensively probe disease stage-dependent superiority of clozapine and investigate overall tolerability.