Clinical predictors of therapeutic response to clozapine in a sample of Turkish patients with treatment-resistant schizophrenia

Body mass index, waist circumference, insulin, and leptin plasma levels differentiate between clozapine-responsive and clozapine-resistant schizophrenia

BACKGROUND

Between 25% and 50% of patients suffering from treatment-resistant schizophrenia fail to achieve a clinical response with clozapine. The rapid identification and treatment of this subgroup of patients represents a challenge for healthcare practice.

AIMS

To evaluate the relationship between metabolic alterations and the clinical response to clozapine.

METHODS

A multicenter, observational, case-control study was performed. Patients diagnosed with schizophrenia treated with clozapine were eligible (minimum dose 400 mg/d for at least 8 weeks and/or clozapine plasma levels ⩾ 350 µg/mL). According to the Positive and Negative Syndrome Scale (PANSS) total score, patients were classified as clozapine-responsive (CR) (<80 points) or clozapine non-responsive (CNR) (⩾80 points). Groups were compared based on demographic and treatment-related characteristics, together with body mass index (BMI), waist circumference, insulin, leptin, and C-reactive protein plasma levels. Plasma levels of clozapine and its main metabolite, nor-clozapine, were measured in all the participants. In addition, the potential relationship between PANSS scores and leptin or insulin plasma levels was assessed.

RESULTS

A total of 46 patients were included: 25 CR and 21 CNR. BMI and waist circumference, fasting insulin and leptin plasma levels were lower in the CNR group, while C-reactive protein was not different. Moreover, significant negative correlations were observed between PANSS positive and general psychopathology subscores, on one hand, and insulin and leptin plasma levels, on the other hand, as well as between PANSS negative subscores and leptin plasma levels.

CONCLUSIONS

Our results suggest that the lack of metabolic effect induced by clozapine is associated with the lack of clinical response.

Developing prediction models for symptom severity around the time of discharge from a tertiary-care program for treatment-resistant psychosis

Antipsychotics are the only therapeutic class indicated in the symptomatic management of psychotic disorders. However, individuals diagnosed with schizophrenia or schizoaffective disorder may not always benefit from these first-line agents. This refractoriness to conventional treatment can be difficult to address in most clinical settings. Therefore, a referral to a tertiary-care program that is better able to deliver specialized care in excess of the needs of most individuals may be necessary. The average outcome following a period of treatment at these programs tends to be one of improvement. Nonetheless, accurate prognostication of individual-level responses may be useful in identifying those who are unlikely to improve despite receiving specialized care. Thus, the main objective of this study was to predict symptom severity around the time of discharge from the Refractory Psychosis Program in British Columbia, Canada using only clinicodemographic information and prescription drug data available at the time of admission. To this end, a different boosted beta regression model was trained to predict the total score on each of the five factors of the Positive and Negative Syndrome Scale (PANSS) using a data set composed of 320 hospital admissions. Internal validation of these prediction models was then accomplished by nested cross-validation. Insofar as it is possible to make comparisons of model performance across different outcomes, the correlation between predictions and observations tended to be higher for the negative and disorganized factors than the positive, excited, and depressed factors on internal validation. Past scores had the greatest effect on the prediction of future scores across all 5 factors. The results of this study serve as a proof of concept for the prediction of symptom severity using this specific approach.

Predictors of response to pharmacological treatments in treatment-resistant schizophrenia - A systematic review and meta-analysis

BACKGROUND

As the burden of treatment-resistant schizophrenia (TRS) on patients and society is high it is important to identify predictors of response to medications in TRS. The aim was to analyse whether baseline patient and study characteristics predict treatment response in TRS in drug trials.

METHODS

A comprehensive search strategy completed in PubMed, Cochrane and Web of Science helped identify relevant studies. The studies had to meet the following criteria: English language clinical trial of pharmacological treatment of TRS, clear definition of TRS and response, percentage of response reported, at least one baseline characteristic presented, and total sample size of at least 15. Meta-regression techniques served to explore whether baseline characteristics predict response to medication in TRS.

RESULTS

77 articles were included in the systematic review. The overall sample included 7546 patients, of which 41% achieved response. Higher positive symptom score at baseline predicted higher response percentage. None of the other baseline patient or study characteristics achieved statistical significance at predicting response. When analysed in groups divided by antipsychotic drugs, studies of clozapine and other atypical antipsychotics produced the highest response rate.

CONCLUSIONS

This meta-analytic review identified surprisingly few baseline characteristics that predicted treatment response. However, higher positive symptoms and the use of atypical antipsychotics - particularly clozapine -was associated with the greatest likelihood of response. The difficulty involved in the prediction of medication response in TRS necessitates careful monitoring and personalised medication management. There is a need for more investigations of the predictors of treatment response in TRS.

Demographic and clinical variables associated with response to clozapine in schizophrenia: a systematic review and meta-analysis

Clozapine is the only licensed pharmacotherapy for treatment-resistant schizophrenia. However, response to clozapine is variable. Understanding the demographic and clinical features associated with response to clozapine may be useful for patient stratification for clinical trials or for identifying patients for earlier initiation of clozapine. We systematically reviewed the literature to investigate clinical and demographic factors associated with variation in clozapine response in treatment-resistant patients with schizophrenia spectrum disorders. Subsequently, we performed a random-effects meta-analysis to evaluate differences in duration of illness, age at clozapine initiation, age of illness onset, body weight and years of education between clozapine responders and non-responders. Thirty-one articles were eligible for qualitative review and 17 of these were quantitatively reviewed. Shorter duration of illness, later illness onset, younger age at clozapine initiation, fewer hospitalisations and fewer antipsychotic trials prior to clozapine initiation showed a trend to be significantly associated with a better response to clozapine. Meta-analysis of seven studies, totalling 313 subjects, found that clozapine responders had a significantly shorter duration of illness compared to clozapine non-responders [g = 0.31; 95% confidence interval (CI) 0.06-0.56; p = 0.01]. The results imply that a delay in clozapine treatment may result in a poorer response and that a focus on prompt treatment with clozapine is warranted.

Clozapine response trajectories and predictors of non-response in treatment-resistant schizophrenia: a chart review study

Although clozapine is the main antipsychotic medication for treatment-resistant schizophrenia, 40-70% of patients on clozapine have persistent psychotic symptoms (i.e. ultra-treatment-resistant schizophrenia, UTRS). We aimed to examine clozapine response/non-response patterns in patients with treatment-resistant schizophrenia, as well as determine patient clinico-demographic factors associated with long-term clozapine non-response. Clinico-demographic characteristics of 241 patients on clozapine were collected through a retrospective chart review. The median (interquartile range, IQR) follow-up from illness onset was 25.0 (IQR = 24.0) years. Clozapine response was assessed at median 10.8 (IQR = 14.0) months (Time 1, T1) and 7.2 (IQR = 13.5) years (Time 2, T2) after its initiation. It was evaluated by chart reviewers based on the information provided in clinical notes. Binomial logistic regression was used to determine clinico-demographic factors associated with clozapine non-response at both T1 and T2 (i.e. stable UTRS, S-UTRS) compared to clozapine response at both times (i.e. stable clozapine responders, S-ClozResp). Among clozapine responders (n = 122) at T1, 83.6% remained clozapine responsive and 16.4% became non-responsive at T2. In the UTRS group (n = 119) at T1, 87.4% remained clozapine non-responsive and 12.6% became responsive at T2. Duration of delay in clozapine initiation (OR = 0.94, Wald χ² = 5.33, p = 0.021) and number of pre-clozapine hospitalizations (OR = 0.95, Wald χ² = 5.20, p = 0.023) were associated with S-UTRS. Most UTRS patients were non-responsive to clozapine from the start of treatment. Preventing delay in initiating clozapine and relapses could help promote long-term clozapine response in patients with treatment-resistant schizophrenia. Future longitudinal studies are required to explore the neuropathological correlates of relapses and delay in clozapine initiation.

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.

Predicting Unsuccessful Clozapine Treatment After First Use in Adult Patients With Psychotic Disorders

PURPOSE/BACKGROUND

Cessation of clozapine therapy and insufficient response may result in relapse of psychotic symptoms and in clinical admissions. However, discontinuation rates are high. Identifying patients at risk for unsuccessful clozapine use might enable clinicians to direct specific attention to them.

METHODS/PROCEDURES

Routinely collected data from a large insurance company were used to develop a simple prediction model for unsuccessful clozapine treatment in psychiatric patients 1 year after clozapine was first dispensed by a community pharmacy in the Netherlands. Multivariate logistic regression analyses were performed with the Nagelkerke R statistic as a measure of the predictive value of the model.

FINDINGS/RESULTS

A total of 937 patients were dispensed clozapine for the first time by their community pharmacy between January 1, 2011, and December 31, 2015 (index date). Of these, 741 patients had started their clozapine treatment in hospital before the index date (inpatient starters); the remaining 196 patients started clozapine as outpatients on the index date (outpatient starters). In 191 patients (20.4%), clozapine treatment was unsuccessful 1 year after the index date. Unsuccessful treatment was more common among outpatient starters than among inpatient starters (32.1% vs 17.3%). Using backward selection of the variables, a model consisting of 61 variables had the best predictive value overall (Nagelkerke R = 0.301), whereas a model consisting of 52 variables had the best predictive value in outpatient starters (Nagelkerke R = 0.676).

IMPLICATIONS/CONCLUSIONS

The likelihood of unsuccessful clozapine treatment after 1 year was higher among patients who started clozapine as outpatients. Despite the use of a diversity of variables and different statistical approaches, it was not possible to make a simple prediction model for unsuccessful clozapine treatment using relatively easily accessible data.

Clozapine Pharmacogenetic Studies in Schizophrenia: Efficacy and Agranulocytosis

Clozapine is an efficacious atypical antipsychotic for treatment-refractory schizophrenia. Clinical response and appearance of adverse events vary among individual patients receiving clozapine, with genetic and non-genetic factors potentially contributing to individual variabilities. Pharmacogenetic studies investigate associations between genetic variants and drug efficacy and toxicity. To date, most pharmacogenetic studies of clozapine have been conducted through candidate gene approaches. A recent advance in technology made it possible to perform comprehensive genetic mapping underlying clinical phenotypes and outcomes, which allow novel findings beyond biological hypotheses based on current knowledge. In this paper, we will summarize the studies on clozapine pharmacogenetics that have extensively examined clinical response and agranulocytosis. While there is still limited evidence on clozapine efficacy, recent genome-wide studies provide further evidence of the involvement of the human leukocyte antigen (HLA) region in clozapine-induced agranulocytosis.

Predictors of Nonhospitalization and Functional Response in Clozapine Treatment: A Nationwide, Population-Based Cohort Study

BACKGROUND

Clozapine remains the only evidence-based treatment for treatment-resistant schizophrenia, and prediction of clozapine response is important in developing stratified treatment. We studied potential predictors of clozapine response, applying functional assessments as well as service use.

PROCEDURES

We performed a nationwide cohort study among all individuals diagnosed with schizophrenia in Denmark after 1995 (age, ≥18 years) who initiated clozapine treatment between 2004 and 2011 with a Global Assessment of Functioning (GAF-F) score registered at clozapine initiation. During up to 2-year follow-up, clinical response was defined as (a) no further hospitalization with schizophrenia or (b) improvement in GAF-F score (moderate improvement: increase, ≥10; substantial improvement: increase, ≥20; and GAF-F, ≥50). We performed Cox regression analysis and report adjusted hazard rate ratios (HRRs; 95% confidence intervals [95% CIs]).

RESULTS

Among 502 clozapine users with a registered GAF-F score, 232 (46.2%) remained out of hospital, 96 (19.1%) achieved moderate functional improvement, and 29 (5.8%) substantial functional improvement. Of all potential predictors, voluntary status at clozapine initiation showed borderline statistical significance with nonhospitalization (HRR, 1.61; 95% CI, 0.97-2.67). Regarding functional improvement, living with a partner was the strongest predictor with an almost threefold increased HRR (2.78; 95% CI, 1.07-7.23). Female sex was only nonsignificantly associated with functional improvement, whereas the chance of substantial improvement decreased by 15% (HRR, 0.85; 95% CI, 0.72-1.00) for each year delay in clozapine initiation among females.

CONCLUSIONS

Living with a partner was the strongest predictor of functioning after clozapine initiation in this study. Although potentially indicating better premorbid functioning, this finding stresses the need and importance of social support during the course of the treatment independent of clinical factors.

Treatment-resistant schizophrenia: current insights on the pharmacogenomics of antipsychotics

Up to 30% of people with schizophrenia do not respond to two (or more) trials of dopaminergic antipsychotics. They are said to have treatment-resistant schizophrenia (TRS). Clozapine is still the only effective treatment for TRS, although it is underused in clinical practice. Initial use is delayed, it can be hard for patients to tolerate, and clinicians can be uncertain as to when to use it. What if, at the start of treatment, we could identify those patients likely to respond to clozapine - and those likely to suffer adverse effects? It is likely that clinicians would feel less inhibited about using it, allowing clozapine to be used earlier and more appropriately. Genetic testing holds out the tantalizing possibility of being able to do just this, and hence the vital importance of pharmacogenomic studies. These can potentially identify genetic markers for both tolerance of and vulnerability to clozapine. We aim to summarize progress so far, possible clinical applications, limitations to the evidence, and problems in applying these findings to the management of TRS. Pharmacogenomic studies of clozapine response and tolerability have produced conflicting results. These are due, at least in part, to significant differences in the patient groups studied. The use of clinical pharmacogenomic testing - to personalize clozapine treatment and identify patients at high risk of treatment failure or of adverse events - has moved closer over the last 20 years. However, to develop such testing that could be used clinically will require larger, multicenter, prospective studies.

Clinical predictors of therapeutic response to antipsychotics in schizophrenia

The search for clinical outcome predictors for schizophrenia is as old as the field of psychiatry. However, despite a wealth of large, longitudinal studies into prognostic factors, only very few clinically useful outcome predictors have been identified. The goal of future treatment is to either affect modifiable risk factors, or use nonmodifiable factors to parse patients into therapeutically meaningful subgroups. Most clinical outcome predictors are nonspecific and/or nonmodifiable. Nonmodifiable predictors for poor odds of remission include male sex, younger age at disease onset, poor premorbid adjustment, and severe baseline psychopathology. Modifiable risk factors for poor therapeutic outcomes that clinicians can act upon include longer duration of untreated illness, nonadherence to antipsychotics, comorbidities (especially substance-use disorders), lack of early antipsychotic response, and lack of improvement with non-clozapine antipsychotics, predicting clozapine response. It is hoped that this limited capacity for prediction will improve as pathophysiological understanding increases and/or new treatments for specific aspects of schizophrenia become available.

Do negative symptoms of schizophrenia change over time? A meta-analysis of longitudinal data

BACKGROUND

Negative symptoms are a core component of schizophrenia which can severely impact quality of life and functional outcomes. These symptoms are understood to be highly stable but this has not been tested in a meta-analysis, despite the wealth of longitudinal data available.

METHOD

A systematic review of the literature was conducted, with eligible studies pooled into a random-effects meta-analysis. Planned meta-regressions were conducted to evaluate the impact of factors known to induce secondary negative symptoms, in addition to other possible sources of heterogeneity.

RESULTS

The main analysis included 89 samples from 41 studies, totalling 5944 participants. Negative symptoms were found to significantly reduce in all treatment interventions, including in placebo and treatment as usual conditions, with a medium effect size (ES) present across all study conditions (ES = 0.66, 95% confidence interval 0.56-0.77, I(2) = 94.0%). In a multivariate meta-regression, only the type of scale used was found to significantly influence negative symptom change. No difference in outcome was found between studies that excluded patients with a high level of positive or depressive symptoms, compared to those that did not.

CONCLUSIONS

Negative symptoms were found to reduce in almost all schizophrenia outpatient samples. A reduction was found across all conditions, with effect sizes ranging from small to large depending upon the condition type. These findings challenge the convention that negative symptoms are highly stable and suggest that they may improve to a greater extent than what has previously been assumed.

Indicators of response to clozapine treatment

Since its initial landmark trial against chlorpromazine in 1988, clozapine has been the drug of choice for the treatment of refractory schizophrenia. However, variability in clinical response to clozapine treatment is unequivocal. In an effort to preselect patients who are most likely to benefit from clozapine, a number of patient and disease variables and select genetic differences have been studied for their association with positive treatment response to clozapine. Because of small trial sizes and the heterogeneity of study design, findings have resulted in no generalizable conclusion. Future pharmacogenetic studies hold the promise of antipsychotic treatment personalization.

A molecular pathway analysis of the glutamatergic-monoaminergic interplay serves to investigate the number of depressive records during citalopram treatment

The efficacy of current antidepressant (AD) drugs for the treatment of major depressive disorder (MDD) lays behind expectations. The correct genetic differentiation between severe and less severe cases before treatment may pave the way to the most correct clinical choices in clinical practice. Genetics may pave the way such identification, which in turns may provide perspectives for the synthesis of new ADs by correcting the molecular unbalances that differentiate severe and less severe depressive patients. We investigated 1,903 MDD patients from the STAR*D study. Outcome was the number of severe depressive records, defined as a Quick Inventory of Depressive Symptomatology (QIDS)-Clinician rated (C) total score >15, corrected for the number of observations for each patient during the first 14 weeks of citalopram treatment. Predictors were the genetic variations harbored by genes involved in the glutamatergic-monoaminergic interplay as defined in a previous work published by our group. Clinical and socio-demographic stratification factor analyses were taken in cases and controls. Covariated linear regression was the statistical model for the analysis. SNPs were analyzed in groups (molecular pathway analysis) testing the hypothesis that the distribution of significant (p < 0.05) associations between SNPs and the outcome segregates within each pathway/gene subset. The best associated results are relative to two signle SNPs, (rs7744492 in AKAP12 p = 0.0004 and rs17046113 in CAMK2D p = 0.0006) and a molecular pathway (cAMP biosynthetic process p = 0.005). After correction for multitesting, none of them resulted to be significantly associated. These results are consistent with previous findings in literature and further stress that the molecular mechanisms targeted by current ADs may not be the key biological variables that differentiate severe from mild depression.

Treatment of acute schizophrenia with paliperidone ER: predictors for treatment response and benzodiazepine use

The Paliperidone ER Treatment in Acute Intervention (PERTAIN) study was designed to explore treatment response, tolerability, and safety of flexible doses of paliperidone ER in patients with schizophrenia admitted for an acute exacerbation. This paper addresses a secondary analysis of PERTAIN data designed to explore predictors for treatment response, flexible dosing, and concomitant benzodiazepine use. This prospective, multicenter, phase 3b, open-label, single-arm, 6-week study used flexible doses of paliperidone ER (3 to 12mg once daily) to treat patients hospitalized for an acute exacerbation of schizophrenia, reflecting more closely daily clinical practice. Predictive models were evaluated for paliperidone ER flexible dosing, treatment response, and concomitant treatment with benzodiazepines as distinct independent variables. For the analysis of explanatory variables, a stepwise logistic regression was used, taking into account patient age, gender, body mass index, diagnosis and duration of schizophrenia, number of prior hospitalizations, psychotic symptoms (PANSS), disease severity (CGI-S), and patient functioning (PSP) at baseline. Early response (defined as response within 2weeks of treatment initiation) was also used as a predictor. Clinical response (defined as ≥30% decrease in PANSS total score and ≥1 point decrease in CGI-S from baseline to endpoint) was predicted by early clinical response (p<0.001) and there was a trend for the diagnosis of paranoid schizophrenia vs. other types of schizophrenia to predict clinical response (p=0.0525). High response (defined as ≥50% decrease in PANSS total score and ≥2 points decrease in CGI-S from baseline to endpoint) was predicted by early high response, higher baseline CGI-S, or female gender. More severely ill patients with a higher baseline CGI-S were twice likely to be treated concomitantly with a benzodiazepine.

Association between CYP1A2 gene single nucleotide polymorphisms and clinical responses to clozapine in patients with treatment-resistant schizophrenia

OBJECTIVES

Despite clozapine's superior clinical efficacy in treatment-resistant schizophrenia (TRS), its adverse effects, need for periodic leukocyte monitoring, cost and variable clinical outcomes mandate a clinical need to predict its treatment response. Although cytochrome P450 1A2 (CYP1A2) is the principal determinant of metabolism of clozapine, the role of CYP1A2 gene in the clinical response to clozapine is uncertain. Hence, we investigated its association with treatment responses and adverse events of clozapine in TRS.

METHODS

We evaluated four single nucleotide polymorphisms (SNP) in the CYP1A2 gene, clinical responses and serum clozapine levels in 101 consecutive patients with TRS on stable doses of clozapine. We defined clozapine response a priori and investigated allelic and genotypic associations. We assessed the socio-demographic and clinical profiles, premorbid adjustment, traumatic life events, cognition and disability of the participants, using standard assessment schedules for appropriate multivariate analyses.

RESULTS

Our results revealed that CYP1A2 gene SNP (*1C, *1D, *1E and *1F) were not associated with clozapine treatment response, adverse effects, serum clozapine levels or with disability (p values > 0.10).

CONCLUSION

As CYP1A2 gene SNP do not help to predict the clinical response to clozapine, routine screening for them prior to start clozapine is currently unwarranted. We suggest future longitudinal genome-wide association studies investigating clinical and pharmacogenetic variables together.

Predictors of clozapine response in patients with treatment-refractory schizophrenia: results from a Danish Register Study

We aimed to identify factors associated with greater clozapine response to guide targeted clozapine use. The study was based on data from the Danish Psychiatric Central Research Register and the National Prescription Database including schizophrenia patients initiating clozapine from 1997 to 2006. Cox regression was used to identify predictors of time to psychiatric hospitalization and all-cause discontinuation from first clozapine prescription. In a 2-year mirror-image design, multiple logistic regression models were used to identify predictors of psychiatric hospitalization. Among 633 schizophrenia patients starting clozapine, shorter time to admission was predicted by increasing number of different antipsychotics (hazard ratio [HR], 1.08/trial; confidence interval [CI], 1.01-1.15/trial) and admissions (HR, 1.04/admission; CI, 1.03-1.05/admission) before first clozapine prescription, earlier onset of schizophrenia (HR, 0.98/y; CI, 0.96-0.99/y), and lower clozapine dose (HR, 0.07/100 mg; CI, 0.03-0.13/100 mg). In the 2-year mirror-image model, during clozapine treatment, there was a significant reduction in bed-days (269.9 days [CI, 238.3-287.8 days] to 64.2 days [CI, 53.0-79.3 days], P < 0.001) and admissions (3.4 [CI, 3.1-3.6] to 2.2 [CI, 1.9-2.5], P < 0.011). Being admitted during clozapine treatment was also associated with more antipsychotic trials (odds ratio [OR], 1.11; CI, 1.00-1.22) and admissions before clozapine initiation (OR, 1.08; CI, 1.04-1.11) and female sex (OR, 1.84; CI, 1.31-2.58). Although the study design does not allow any causal inferences, all 3 models suggested a lower number of psychiatric hospitalizations and antipsychotic trials before clozapine initiation to be associated with greater clozapine response.

Clozapine for the treatment of schizophrenia

INTRODUCTION

Despite considerable progress in the pharmacological treatment of schizophrenia, about 30% of patients are minimally responsive to antipsychotics and there is still an excessively high rate of mortality in schizophrenia patients. Clozapine , a D(2)-5HT(2) antagonist, was the first antipsychotic to demonstrate efficacy in treatment-resistant patients, and to be associated with the lowest risk of death.

AREAS COVERED

The pharmacodynamics, pharmacokinetics, clinical efficacy, safety and cost-effectiveness of clozapine are covered in this article, based on a literature review (PubMed) from 1975 to 2012. Pivotal, as well as supporting, randomized controlled trials are reviewed, along with observational and/or naturalistic safety studies. This review of clozapine will allow the reader to determine the place for clozapine in the schizophrenia treatment landscape.

EXPERT OPINION

Studies conducted so far suggest that clozapine is the treatment of choice for schizophrenic patients who are refractory to treatment, display violent behaviors, or who are at high risk of suicide. However, it is also the antipsychotic with the worst side effect profile, the highest risk of complications, and the most difficult to prescribe. Experience with clozapine should therefore be included in the education of future physicians.

Augmentation of clozapine with another pharmacological agent: treatment for refractory schizophrenia in the 'real world'

OBJECTIVE

Refractory schizophrenia (SZ) affects approximately 30% of people with SZ. Clozapine (CLZ) is the gold standard treatment; however, there are still patients who are non-responsive or partially responsive to treatment. Although a lack of evidence exists in reality, these patients are treated with a combination of agents in addition to CLZ. Therefore, this article reviews the prevalence of the augmentation of CLZ with additional agents.

METHOD

This study was cross-sectional; physicians in a region of Australia in May 2011 were contacted to provide details of their patients on CLZ and any additional agents. The data set consists of 84 patients.

RESULTS

The majority of the patients 84.5% were taking at least one additional agent. Of those taking additional agents, they derived from the following classes' antipsychotics (72%), antidepressants (30%), mood stabilisers (17%), antimetabolic agents (13%), benzodiazepines (7%), anticholinergics (4%) and miscellaneous agents (12.5%).

CONCLUSION

It is apparent that CLZ is routinely augmented with other agents despite the lack of an evidence base. However, concerning was the lack of augmentation with antimetabolic agents despite the paucity of literature reporting the detrimental impact of antipsychotic treatment upon patients metabolic indices. The findings are discussed in the context of the current recommendations and empirical literature.

Reason for clozapine cessation

OBJECTIVE

Approximately 30% of individuals diagnosed with schizophrenia suffer from treatment-resistant or refractory schizophrenia. The gold standard for treatment of refractory schizophrenia is clozapine. However, a significant number of patients cease clozapine therapy; therefore this study explores patient's motives for cessation.

METHOD

The motives for cessation and duration of clozapine treatment from a retrospective database of 151 patients with schizophrenia or schizo-affective disorder who had ceased clozapine once or more were reviewed, with the motives for cessation coded. The general motives for cessation were non-compliance, own decision, medical, poor response and other. In addition, the medical reasons for cessation were further codified: cardiac complications, neutropenia, fevers, other side effects and pregnancy.

RESULTS

The majority of patients ceased clozapine owing to non-compliance with medical protocols or citing their own decision. Approximately half ceased after a period of 6 months or less. Seventeen per cent of patients ceased owing to medical reasons, with the largest proportions discontinuing treatment because of other side effects or neutropenia.

CONCLUSION

Future research should seek to further investigate why patients decide to be non-compliant and formulate their own decision to cease treatment, as this will facilitate strategies to promote adherence amongst these two groups that are potentially the most amenable to change.

Treatment resistant schizophrenia and response to antipsychotics: a review

BACKGROUND

There remains a lack of agreement regarding criteria for treatment-resistant schizophrenia (TRS) and definition of response.

METHOD

A literature search was conducted to identify clinical studies of antipsychotics in TRS using PubMed, EMBASE and PsycINFO (last search 31 July 2011). Psychopharmacological studies with the number of participants of ≥ 40 were evaluated in terms of definitions for TRS and subsequent treatment response.

RESULTS

Thirty-three studies of antipsychotics in TRS were reviewed. TRS has been defined mainly by severity in symptoms. Many studies based TRS with at least 2 failed adequate antipsychotic trials (at chlorpromazine equivalent doses of ≥ 1000 mg/day for ≥ 6 weeks), but some studies adopted prospective treatment arm to be certain of sample refractoriness. Treatment response has been defined by a relative change in the representative scales (most commonly ≥ 20% decrease in the Positive and Negative Syndrome Scale), but it sometimes included the absolute criteria such as post-treatment score of ≤ 35 in the Brief Psychiatric Rating Scale or Clinical Global Impression-severity score of ≤ 3 (mild or less severe). Social functioning has not been a primary outcome measure in past pivotal trials, and other important domains of the illness such as cognition and subjective perspectives have not been incorporated into definitions of treatment resistance or response. However, adopting various assessment scales can be time-consuming and complicated, with an additional possibility of disagreement among raters.

CONCLUSION

Defining outcomes in schizophrenia is a challenging task. It is imperative that the field agrees on how this population is better defined and what constitutes treatment response.

Pharmacogenetics of response to antipsychotics in patients with schizophrenia

This review presents the findings of pharmacogenetic studies exploring the influence of gene variants on antipsychotic treatment response, in terms of both symptom improvement and adverse effects, in patients with schizophrenia. Despite numerous studies in the field, replicating findings across different cohorts that include subjects of different ethnic groups has been challenging. It is clear that non-genetic factors have an important contribution to antipsychotic treatment response. Differing clinical, demographic and environmental characteristics of the cohorts studied have added substantial complexity to the interpretation of the positive and negative findings of many studies. Pharmacogenomic genome-wide investigations are beginning to yield interesting data although they have failed to replicate the most robust findings of candidate gene studies, and are limited by the sample size, especially given the need for studying homogeneous cohorts. Most of the studies conducted on cohorts treated with single antipsychotics have investigated clozapine, olanzapine or risperidone response. These studies have provided some of the most replicated associations with treatment efficacy. Serotonergic system gene variants are significantly associated with the efficacy of clozapine and risperidone, but may have less influence on the efficacy of olanzapine. Dopamine D3 receptor polymorphisms have been more strongly associated with the efficacy of clozapine and olanzapine, and D2 genetic variants with the efficacy of risperidone. Serotonin influences the control of feeding behaviour and has been hypothesized to have a role in the development of antipsychotic-induced weight gain. Numerous studies have linked the serotonin receptor 2C (5-HT2C) -759-C/T polymorphism with weight gain. The leptin gene variant, -2548-G/A, has also been associated with weight gain in several studies. Pharmacogenetic studies support the role of cytochrome P450 enzymes and dopamine receptor variants in the development of antipsychotic-induced movement disorders, with a contribution of serotonergic receptors and other gene variants implicated in the mechanism of action of antipsychotics. Clozapine-induced agranulocytosis has been associated with polymorphisms in the major histocompatibility complex gene (HLA).

Lack of association between DRD3 gene polymorphism and response to clozapine in Turkish schizoprenia patients

It is hypothesized that molecular components of dopaminergic system, especially the dopamine D3 receptor gene (DRD3), may play a crucial role in the pathophysiology of schizophrenia, because it is abundant in the limbic system of the brain and it binds antipsychotic drugs. Several groups attempted to find an association between a serine-to-glycine polymorphism of the DRD3 gene (Ser9Gly) and schizophrenia; however, the results were inconsistent. In this study, we aimed to investigate the relationship of the Serine/Glycine polymorphism of the DRD3 gene with therapeutic response to clozapine treatment between Turkish schizophrenia patients (N = 92) and healthy controls (N = 100). Genotype groups were comparable in BPRS, SAPS, SANS analysis of response to clozapine. Our results suggest that an association between the Ser/Gly polymorphism of DRD3 gene and response to clozapine in Turkish schizophrenia patients is unlikely to exist.

Pharmacogenetics in psychiatry: are we ready for widespread clinical use?

There are high expectations about the capabilities of pharmacogenetics to tailor psychotropic treatment and "personalize" treatment. While a large number of associations, with generally small effect size, have been discovered, a "test" with widespread use and adoption is still missing. A more realistic picture, recognizing the important contribution of clinical and environmental factors toward overall clinical outcome has emerged. In this emerging view, genetic findings, if considered individually, may have limited clinical applications. Thus, in recent years, combinations of information in several genes have been used for the selection of appropriate therapeutic doses and for the prediction of agranulocytosis, hyperlipidemia, and response to antipsychotic and antidepressant medications. While these tests based on multiple genes show greater predictive ability than individual allele tests, their net impact on clinical consequence and costs is limited, thus leading to limited penetration into widespread clinical use. As one looks at other branches of medicine, there are successful examples of pharmacogenetic tests guiding treatment, and thus, it is reasonable to hope that with the incorporation of clinical and environmental information and the identification of new genes drawn from genome-wide analysis, will improve the predictive utility of these tests leading to their increased use by clinicians.

Increased incidence of autoimmune thyroiditis in patients with antipsychotic-induced hyperprolactinemia

Prolactin (PRL) elevation in patients with prolactin-secreting pituitary tumors has been linked to increased prevalence of thyroid autoantibodies. However, the effects of antipsychotic drug-induced hyperprolactinemia (HPRL) on development of thyroid autoimmunity and also of other autoimmune phenomena have not been previously studied. To examine whether serum PRL levels were associated with the prevalence of thyroid autoantibodies in patients with schizophrenia receiving long-term antipsychotic treatment, we determined serum PRL, thyrotropin, free thyroxine levels, and the presence of antithyroid peroxidase and antithyroglobulin antibodies in 75 consecutive, clinically stable schizophrenic outpatients who had been on stable doses of antipsychotics for at least 3 months, and had no history of overt thyroid disease. We found that the prevalence of hyperprolactinemia was significantly higher in patients positive for thyroid autoantibodies, when compared with patients negative for them (p=0.045). Serum levels of prolactin were also significantly higher in patients with positivity for thyroid autoantibodies (p=0.039). In separate analyses for genders, a trend-level relationship was observed in females between increased levels of prolactin and the presence of thyroid autoantibodies (p=0.060). Our findings suggest that through the associated HPRL, long-term antipsychotic treatment can induce thyroid autoimmunity. Future research is required to investigate, whether other autoimmune processes might be triggered by antipsychotic drug-induced HPRL, and to what extent the immune alterations reported in patients with schizophrenia are related with this phenomenon.