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Objective: Despite the high prevalence of anxiety in schizophrenia, no established guideline exists for the management of these symptoms. We aimed to synthesize evidence on the effect of second-generation antipsychotics (SGAs) on anxiety in patients with schizophrenia., Methods: We systematically searched Medline, Embase, PsycInfo, Web of Science, PubMed, and Cochrane library to identify randomized controlled trials of SGAs that reporting anxiety measures in schizophrenia. The search was limited to English-language articles published before February 2024. Data were pooled using a random-effects model., Results: Among 48 eligible studies, 29 (n = 7712) were included in the meta-analyses comparing SGAs to placebo, haloperidol, or another SGAs for their effect on anxiety/depression. SGAs had a small effect on anxiety/depression versus placebo (SMD = -0.28 (95 % CI [-0.34, -0.21], p < .00001, I 2  = 47 %, n = 5576)) associated with efficacy for positive (z = 5.679, p < .001) and negative symptoms (z = 4.490, p < .001). Furthermore, SGAs were superior to haloperidol (SMD = -0.44, 95 % CI [-0.75, -0.13], p = .005, n = 1068) with substantial study-level heterogeneity (I 2  = 85 %). Excluding one study of quetiapine in first-episode patients (SMD = -3.05, n = 73), SGAs showed a small effect on anxiety/depression versus haloperidol without heterogeneity (SMD = -0.23, 95 % CI [-0.35, -0.12], p = 01; I 2  = %0). Risperidone's effect on anxiety/depression was comparable to olanzapine (SMD = -0.02, 95 % CI [-0.24,0.20], p = .87, I 2  = 45 %, n = 753) and amisulpride (SMD = 0.27, 95 % CI [-1.08,0.61], p = .13, I 2  = 50 %, n = 315)., Conclusion: While SGAs showed a small effect on anxiety/depression, the findings are inconclusive due to scarcity of research on comorbid anxiety in schizophrenia, heterogeneity of anxiety symptoms, and the scales used to measure anxiety. Further studies employing specific anxiety scales are required to explore antipsychotics, considering their receptor affinity and augmentation with serotonin/norepinephrine reuptake inhibitors or benzodiazepines for managing anxiety in schizophrenia., Competing Interests: Declaration of competing interest Authors have no funding, employment, or personal financial interests that are relevant to the content of this article. In order of authorship listing: Ali Abdolizadeh declaration of interest: none. Maryam Hosseini Kupaei declaration of interest: none. Yasaman Kambari declaration of interest: none. Aron Amaev declaration of interest: none. Vittal Korann declaration of interest: none. Edgardo Torres-Carmona declaration of interest: none. Jianmeng song declaration of interest: none. Fumihiko Ueno declaration of interest: none. Michel-Teruki Koizumi declaration of interest: none. Shinichiro Nakajima declaration of interest: none. Sri Mahavir Agarwal declaration of interest: none. Philip Gerretsen declaration of interest: none. Ariel Graff-Guerrero declaration of interest: none., (Copyright © 2024. Published by Elsevier B.V.)

Clozapine is the only antipsychotic approved for treating treatment-resistant schizophrenia (TRS), characterized by persistent positive symptoms despite adequate antipsychotic treatment. Unfortunately, clozapine demonstrates clinical efficacy in only ~30-60 % of patients with TRS (clozapine-responders; ClzR+), while the remaining ~40-70 % are left with no pharmacological recourse for improvement (clozapine-resistant; ClzR-). Mechanism(s) underlying clozapine's superior efficacy remain unclear. However, in vitro evidence suggests clozapine may mitigate glutamatergic dysregulations observed in TRS, by modulating astrocyte activity in ClzR+, but not ClzR-. A factor that if proven correct, may help the assessment of treatment response and development of more effective antipsychotics. To explore the presence of clozapine-astrocyte interaction and clinical improvement, we used 3 T proton-magnetic resonance spectroscopy to quantify levels of myo-Inositol, surrogate biomarker of astrocyte activity, in regions related to schizophrenia neurobiology: Dorsal-anterior-cingulate-cortex (dACC), left-dorsolateral-prefrontal-cortex (left-DLPFC), and left-striatum (left-striatum) of 157 participants (ClzR- = 30; ClzR+ = 37; responders = 38; controls = 52). Clozapine treatment was assessed using clozapine to norclozapine plasma levels, 11-12 h after last clozapine dose. Measures for symptom severity (i.e., Positive and Negative Symptoms Scale) and cognition (i.e., Mini-Mental State Examination) were also recorded. Higher levels of myo-Inositol were observed in TRS groups versus responders and controls (dACC (p < 0.001); left-striatum (p = 0.036); left-DLPFC (p = 0.023)). In ClzR+, but not ClzR-, clozapine to norclozapine ratios were positively associated with myo-Inositol levels (dACC (p = 0.004); left-DLPFC (p < 0.001)), and lower positive symptom severity (p < 0.001). Our results support growing in vitro evidence of clozapine-astrocyte interaction in clozapine-responders. Further research may determine the viability of clozapine-astrocyte interactions as an early marker of clozapine response., Competing Interests: Declaration of competing interest There are no funding, employment or personal financial interests of any kind that would undermine the objectivity, integrity or perceived value of the submitted publication. In order of authorship listing: Edgardo Torres Carmona declaration of interest: none. Shinichiro Nakajima declaration of interest: none. Yusuke Iwata declaration of interest: none. Fumihiko Ueno declaration of interest: none. Cristiana Stefan declaration of interest: none. Jianmeng Song declaration of interest: none. Ali Abdolizadeh declaration of interest: none. Michel Teruki Koizumi declaration of interest: none. Yasman Kambari declaration of interest: none. Aron Amaev declaration of interest: none. Sri Mahavir Agarwal declaration of interest: none. Wanna Mar declaration of interest: none. Vincenzo de Luca declaration of interest: none. Gary Remington has received advisory board support from HLS Therapeutics and consultant fees from Mitsubishi Tanabe Pharma Corporation. Philip Gerretsen declaration of interest: none. Ariel Graff-Guerrero declaration of interest: none., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Research suggests structural and connectivity abnormalities in patients with treatment-resistant schizophrenia (TRS) compared to first-line responders and healthy-controls. However, measures of these abnormalities are often influenced by external factors like nicotine and antipsychotics, limiting their clinical utility. Intrinsic-cortical-curvature (ICC) presents a millimetre-scale measure of brain gyrification, highly sensitive to schizophrenia differences, and associated with TRS-like traits in early stages of the disorder. Despite this evidence, ICC in TRS remains unexplored. This study investigates ICC as a marker for treatment resistance in TRS, alongside structural indices for comparison., Methods: We assessed ICC in anterior cingulate, dorsolateral prefrontal, temporal, and parietal cortices of 38 first-line responders, 30 clozapine-resistant TRS, 37 clozapine-responsive TRS, and 52 healthy-controls. For comparative purposes, Fold and Curvature indices were also analyzed., Results: Adjusting for age, sex, nicotine-use, and chlorpromazine equivalence, principal findings indicate ICC elevations in the left hemisphere dorsolateral prefrontal (p < 0.001, η2partial = 0.142) and temporal cortices (LH p = 0.007, η2partial = 0.060; RH p = 0.011, η2partial = 0.076) of both TRS groups, and left anterior cingulate cortex of clozapine-resistant TRS (p = 0.026, η2partial = 0.065), compared to healthy-controls. Elevations that correlated with reduced cognition (p = 0.001) and negative symptomology (p < 0.034) in clozapine-resistant TRS. Fold and Curvature indices only detected group differences in the right parietal cortex, showing interactions with age, sex, and nicotine use. ICC showed interactions with age., Conclusion: ICC elevations were found among patients with TRS, and correlated with symptom severity. ICCs relative independence from sex, nicotine-use, and antipsychotics, may support ICC's potential as a viable marker for TRS, though age interactions should be considered., Competing Interests: Declaration of competing interest There are no funding, employment or personal financial interests of any kind that would undermine the objectivity, integrity or perceived value of the submitted publication. In order of authorship listing: Edgardo Torres-Carmona declaration of interest: none. Fumihiko Ueno declaration of interest: none. Yusuke Iwata declaration of interest: none. Shinichiro Nakajima declaration of interest: none. Jianmeng Song declaration of interest: none. Wanna Mar declaration of interest: none. Ali Abdolizadeh declaration of interest: none. Sri Mahavir Agarwal declaration of interest: none. Vincenzo de Luca declaration of interest: none. Gary Remington has received advisory board support from HLS Therapeutics and consultant fees from Mitsubishi Tanabe Pharma Corporation. Philip Gerretsen declaration of interest: none. Ariel Graff-Guerrero declaration of interest: none., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background and Hypothesis: Schizophrenia is associated with widespread cortical thinning and abnormality in the structural covariance network, which may reflect connectome alterations due to treatment effect or disease progression. Notably, patients with treatment-resistant schizophrenia (TRS) have stronger and more widespread cortical thinning, but it remains unclear whether structural covariance is associated with treatment response in schizophrenia., Study Design: We organized a multicenter magnetic resonance imaging study to assess structural covariance in a large population of TRS and non-TRS, who had been resistant and responsive to non-clozapine antipsychotics, respectively. Whole-brain structural covariance for cortical thickness was assessed in 102 patients with TRS, 77 patients with non-TRS, and 79 healthy controls (HC). Network-based statistics were used to examine the difference in structural covariance networks among the 3 groups. Moreover, the relationship between altered individual differentiated structural covariance and clinico-demographics was also explored., Study Results: Patients with non-TRS exhibited greater structural covariance compared with HC, mainly in the fronto-temporal and fronto-occipital regions, while there were no significant differences in structural covariance between TRS and non-TRS or HC. Higher individual differentiated structural covariance was associated with lower general scores of the Positive and Negative Syndrome Scale in the non-TRS group, but not in the TRS group., Conclusions: These findings suggest that reconfiguration of brain networks via coordinated cortical thinning is related to treatment response in schizophrenia. Further longitudinal studies are warranted to confirm if greater structural covariance could serve as a marker for treatment response in this disease., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Introduction: No study has investigated the impact of smoking habits and concomitant valproic acid (VPA) use on clinical outcomes in maintenance treatment with clozapine. Thus, we aimed to examine the effect of smoking habits and concomitant VPA use on relapse during the first year after discharge in patients with treatment-resistant schizophrenia (TRS) receiving clozapine., Methods: This retrospective cohort study included patients with TRS who were initiated on clozapine during hospitalization and discharged between April 2012 and January 2021 in two tertiary psychiatric hospitals in Japan. Relapse was defined as rehospitalization due to psychiatric exacerbation during the first year after discharge. A multivariable Cox proportional hazards regression analysis was performed to analyze the effect of smoking habits and concomitant VPA use on relapse. Subgroup analyses were also conducted to examine potential interactions between smoking habits and concomitant VPA use., Results: Among the included 192 patients, 69 (35.9%) met the criteria of relapse. While smoking habits (adjusted hazard ratio [aHR], 2.27; 95% confidence interval [CI], 1.28-4.01; p < 0.01) independently increased the risk of relapse, a significant interaction for relapse risk was found between smoking habits and concomitant VPA use (p-interaction = 0.015). Concomitant VPA use may be an effective modifier of the increased relapse risk associated with smoking habits. Among patients who smoked, those using VPA concomitantly exhibited a higher risk of relapse (aHR, 5.32; 95% CI, 1.68-16.9; p < 0.01) than those not using VPA (aHR, 1.41; 95% CI, 0.73-2.70; p = 0.30)., Conclusion: The findings suggest that the combination of smoking habits and concomitant VPA use may increase the risk of relapse after discharge. Future studies are required to elucidate the mechanisms underlying these findings, such as a decrease in clozapine blood levels., (© 2023 The Authors. Acta Psychiatrica Scandinavica published by John Wiley & Sons Ltd.)

This retrospective cohort study aimed to investigate the longitudinal changes in clozapine dose over a 5-year period in patients with treatment-resistant schizophrenia (TRS). Patients with TRS who were administered clozapine at a hospital between April 2012 and December 2016 and continued treatment with clozapine for at least 1 year were included. Clozapine doses were compared at the dose-fixation point, defined as when the same regimen of clozapine had been continued for 8 weeks or longer, and the post-dose-fixation phase, at 12, 36 and 60 months after clozapine initiation. We included 103 patients and found no significant differences in clozapine dose between the dose-fixation point and post-dose-fixation phase. Approximately half of the patients were categorized into an unchanged group at 12 months after clozapine initiation, whereas approximately 40% of patients were categorized into either the decreased or increased group at 60 months. Multivariable regression analysis revealed that the change in clozapine dose between the dose-fixation point and 60 months after clozapine initiation was negatively associated with clozapine dose at the dose-fixation point. On average, the clozapine dose was unchanged during long-term treatment in patients with TRS, although the dose was decreased or increased in approximately 40% of the patients., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Accumulating evidence indicates that pathophysiology of schizophrenia involves abnormalities in the dopamine and glutamatergic neuronal systems. Antipsychotic medications are currently used to normalize dopaminergic function for schizophrenia. However, approximately 30 % of the patients have no response to antipsychotic medications, which is classified as treatment-resistant schizophrenia (TRS). Furthermore, dopamine and glutamate levels in the neural basis have been reported to differ between TRS and non-TRS. In this study, we assumed that these differences may affect music rhythm perception and production abilities between the two groups. We examined fifty-seven schizophrenia (26 TRS, 31 non-TRS) and thirty-one healthy controls (HCs) by using the Harvard Beat Assessment Test (H-BAT). As a result, we found that rhythm production was worse in patients with TRS compared to patients with non-TRS and HCs, while no difference was observed between patients with non-TRS and HCs. In addition, rhythm perception and production abilities were impaired in the whole patient group compared with HCs. Furthermore, in the patient group, the deficits were correlated with cognitive impairments. Collectively, these results suggest that patients with schizophrenia may have rhythm processing deficits, with particular a rhythm production problem in the TRS group., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Antipsychotic drugs are the mainstay in the treatment of schizophrenia. However, one-third of patients do not show adequate improvement in positive symptoms with non-clozapine antipsychotics. Additionally, approximately half of them show poor response to clozapine, electroconvulsive therapy, or other augmentation strategies. However, the development of novel treatment for these conditions is difficult due to the complex and heterogenous pathophysiology of treatment-resistant schizophrenia (TRS). Therefore, this review provides key findings, potential treatments, and a roadmap for future research in this area. First, we review the neurobiological pathophysiology of TRS, particularly the dopaminergic, glutamatergic, and GABAergic pathways. Next, the limitations of existing and promising treatments are presented. Specifically, this article focuses on the therapeutic potential of neuromodulation, including electroconvulsive therapy, repetitive transcranial magnetic stimulation, transcranial direct current stimulation, and deep brain stimulation. Finally, we propose multivariate analyses that integrate various perspectives of the pathogenesis, such as dopaminergic dysfunction and excitatory/inhibitory imbalance, thereby elucidating the heterogeneity of TRS that could not be obtained by conventional statistics. These analyses can in turn lead to a precision medicine approach with closed-loop neuromodulation targeting the detected pathophysiology of TRS., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Aims: Develop a robust and user-friendly software tool for the prediction of dopamine D 2 receptor occupancy (RO) in patients with schizophrenia treated with either olanzapine or risperidone, in order to facilitate clinician exploration of the impact of treatment strategies on RO using sparse plasma concentration measurements., Methods: Previously developed population pharmacokinetic models for olanzapine and risperidone were combined with a pharmacodynamic model for D2 RO and implemented in the R programming language. Maximum a posteriori Bayesian estimation was used to provide predictions of plasma concentration and RO based on sparse concentration sampling. These predictions were then compared to observed plasma concentration and RO., Results: The average (standard deviation) response times of the tools, defined as the time required for the application to predict parameter values and display the output, were 2.8 (3.1) and 5.3 (4.3) seconds for olanzapine and risperidone, respectively. The mean error (95% confidence interval) and root mean squared error (95% confidence interval) of predicted vs. observed concentrations were 3.73 ng/mL (-2.42-9.87) and 10.816 ng/mL (6.71-14.93) for olanzapine, and 0.46 ng/mL (-4.56-5.47) and 6.68 ng/mL (3.57-9.78) for risperidone and its active metabolite (9-OH risperidone). Mean error and root mean squared error of RO were -1.47% (-4.65-1.69) and 5.80% (3.89-7.72) for olanzapine and -0.91% (-7.68-5.85) and 8.87% (4.56-13.17) for risperidone., Conclusion: Our monitoring software predicts concentration-time profiles and the corresponding D 2 RO from sparsely sampled concentration measurements in an accessible and accurate form., (© 2022 British Pharmacological Society.)

Background: Abnormalities in the anterior cingulate cortex (ACC) are thought to play an important role in the pathophysiology of schizophrenia. Given regional variations in ACC structure, the present study aimed to examine ACC structural subdivisions and their relationships to treatment resistance and glutamatergic levels in schizophrenia., Methods: This study included 100 patients with schizophrenia and 52 healthy controls from 2 cohorts. We applied non-negative matrix factorization to identify accurate and stable spatial components of ACC structure. Between groups, we compared ACC structural indices in each spatial component based on treatment resistance or response and tested relationships with ACC glutamate + glutamine levels., Results: We detected reductions in cortical thickness and increases in mean diffusivity in the spatial components on the surface of the cingulate sulcus, especially in patients with treatment-resistant and clozapine-resistant schizophrenia. Notably, mean diffusivity in these components was higher in patients who did not respond to clozapine compared to those who did. Furthermore, these ACC structural alterations were related to elevated ACC glutamate + glutamine levels but not related to symptomatology or antipsychotic dose., Limitations: Sample sizes, cross-sectional findings and mixed antipsychotic status were limitations of this study., Conclusion: This study identified reproducible abnormalities in ACC structures in patients with treatment-resistant and clozapine-resistant schizophrenia. Given that these spatial components play a role in inhibitory control, the present study strengthens the notion that glutamate-related disinhibition is a common biological feature of treatment resistance in schizophrenia., Competing Interests: Conflict of interest: E. Plitman has received research support from an Ontario Graduate Scholarship (OGS), a Canadian Institutes of Health Research (CIHR) Canada Graduate Scholarship–Master’s, a CIHR Vanier Canada Graduate Scholarship and the Healthy Brains for Healthy Lives Postdoctoral Fellowship. Y. Iwata has received fellowship grants from the CIHR, research support from the Japan Society for the Promotion of Science, the Japanese Society of Clinical Neuropsychopharmacology, Inokashira Hospital Grants for psychiatry research, manuscript fees from Dainippon Sumitomo Pharma and speaker’s fees from Eli Lilly, Meiji-Seika Pharma, Mochida Pharmaceutical and Yoshitomi Yakuhin within the past 3 years. Y. Noda has received a Grant-in-Aid for Young Scientists (KAKENHI); research grants from AMED; an investigator-initiated clinical study grant from Teijin Pharma Ltd.; research grants from the Japan Health Foundation, the Meiji Yasuda Mental Health Foundation, the Mitsui Life Social Welfare Foundation, the Takeda Science Foundation, the Senshin Medical Research Foundation, the Health Science Center Foundation, the Mochida Memorial Foundation for Medical and Pharmaceutical Research, the Taiju Life Social Welfare Foundation, and Daiichi Sankyo Scholarship Donation Program; and equipment-in-kind support for an investigator-initiated study from Magventure Inc, Inter Reha Co., Ltd., Rogue Resolutions Ltd. and Miyuki Giken Co., Ltd. H. Uchida has received grants from Eisai, Otsuka Pharmaceutical, Dainippon-Sumitomo Pharma, Mochida Pharmaceutical, Meiji-Seika Pharmaceutical and Novartis; speaker’s honoraria from Otsuka Pharmaceutical, Eli Lilly, Shionogi, Pfizer, Yoshitomi Yakuhin, Dainippon-Sumitomo Pharma, Meiji-Seika Pharma, MSD and Janssen Pharmaceutical; and advisory panel payments from Dainippon-Sumitomo Pharma within the past 3 years. M. Mimura has received research support from the Japan Society for the Promotion of Science and grants or speaker’s honoraria from Daiichi Sankyo, Dainippon-Sumitomo Pharma, Eisai, Eli Lilly, Fuji Film RI Pharma, Janssen Pharmaceutical, Mochida Pharmaceutical, MSD, Nippon Chemipher, Novartis Pharma, Ono Yakuhin, Otsuka Pharmaceutical, Pfizer, Takeda Yakuhin, Tsumura and Yoshitomi Yakuhin within the past 3 years. A. Graff-Guerrero has received research support from the following external funding agencies: CIHR, the US National Institutes of Health, the Ontario Mental Health Foundation, the National Alliance for Research on Schizophrenia and Depression, Mexico Instituto de Ciencia y Tecnología del Distrito Federal, Consejo Nacional de Ciencia y Tecnología, the Ministry of Economic Development and Innovation of Ontario, the Ontario Academic Health Science Center Alternate Funding Plan Innovation Fund and the W. Garfield Weston Foundation. M. Chakravarty has received research funding from the Weston Brain Institute, the Alzheimer’s Association and the Michael J. Fox Foundation. He is currently receiving support from the CIHR, the National Sciences and Engineering Research Council of Canada and McGill University’s Healthy Brains for Healthy Lives Initiative. He is an associated editor of JPN, but was not involved in the review or decision to accept this paper for publication. S. Nakajima has received grants from the Japan Society for the Promotion of Science, AMED, the Japan Research Foundation for Clinical Pharmacology, the Naito Foundation, the Takeda Science Foundation, the Uehara Memorial Foundation and the Daiichi Sankyo Scholarship Donation Program within the past 3 years, as well as research support, manuscript fees or speaker’s honoraria from Dainippon Sumitomo Pharma, Meiji-Seika Pharma, Otsuka Pharmaceutical, Shionogi and Yoshitomi Yakuhin within the past 3 years. No other competing interests declared., (© 2022 CMA Impact Inc. or its licensors.)

Background: One-third of patients with schizophrenia are treatment-resistant to non-clozapine antipsychotics (TRS), while the rest respond (NTRS). Examining whether TRS and NTRS represent different pathophysiologies is an important step toward precision medicine., Methods: Focusing on cortical thickness (CT), we analyzed international multi-site cross-sectional datasets of magnetic resonance imaging comprising 110 patients with schizophrenia (NTRS = 46, TRS = 64) and 52 healthy controls (HCs). We utilized a logistic regression with L1-norm regularization to find brain regions related to either NTRS or TRS. We conducted nested 10-fold cross-validation and computed the accuracy and area under the curve (AUC). Then, we applied the NTRS classifier to patients with TRS, and vice versa., Results: Patients with NTRS and TRS were classified from HCs with 65% and 78% accuracies and with the AUC of 0.69 and 0.85 (p = 0.014 and < 0.001, corrected), respectively. The left planum temporale (PT) and left anterior insula/inferior frontal gyrus (IFG) contributed to both NTRS and TRS classifiers. The left supramarginal gyrus only contributed to NTRS and right superior temporal sulcus and right lateral orbitofrontal cortex only to the TRS. The NTRS classifiers successfully distinguished those with TRS from HCs with the AUC of 0.78 (p < 0.001), while the TRS classifiers classified those with NTRS from HCs with the AUC of 0.69 (p = 0.015)., Conclusion: Both NTRS and TRS could be distinguished from HCs on the basis of CT. The CT pathological basis of NTRS and TRS has commonalities, and TRS presents unique CT features., (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)

Previous diffusion tensor imaging (DTI) studies have reported white matter alterations in patients with schizophrenia. Notably, one third of this population does not respond to first-line antipsychotics and is thus referred to as treatment-resistant schizophrenia (TRS). Despite potentially distinct neural bases between TRS and non-TRS, few studies have compared white matter integrity between these groups. In order to reflect clinical picture of TRS, we enrolled TRS patients who had severe symptoms. According to the consensus criteria for TRS. TRS was defined by severe positive symptomatology despite optimal antipsychotic treatment. Fractional anisotropy (FA), an index of white matter integrity, was examined by DTI and analyzed with tract-based spatial statistics in 24 TRS patients (mean PANSS = 108.9), 28 non-TRS patients (mean PANSS = 50.0), and 27 healthy controls (HCs) for group comparison. Additionally, correlation analyses were conducted between FA values and symptomatology. The TRS group had lower FA values in multiple tracts (cerebral peduncle, corona radiata, corpus callosum, external and internal capsules, posterior thalamic radiation, sagittal stratum, superior longitudinal fasciculus, tapetum, and uncinate fasciculus) compared to the HC group as well as the non-TRS group (p < .05; family-wise error-corrected), while no differences were found between the non-TRS and HC groups. In the TRS group, FA values in most of the tracts (other than the left anterior limb of internal capsule, left cerebral peduncle, and right uncinate fasciculus) were negatively correlated with the Positive and Negative Syndrome Scale total scores, and negative and general symptom scores. No such relationships were found in the non-TRS group. The identified white matter integrity deficits may reflect the pathophysiology of TRS., Competing Interests: Declaration of Competing Interest YN has received a Grant-in-Aid for Young Scientists (KAKENHI), a research grant from Japan Agency for Medical Research and Development (AMED), an investigator-initiated clinical study grant from TEIJIN PHARMA LIMITED. YN also receives research grants from Japan Health Foundation, Meiji Yasuda Mental Health Foundation, Mitsui Life Social Welfare Foundation, Takeda Science Foundation, SENSHIN Medical Research Foundation, Health Science Center Foundation, Mochida Memorial Foundation for Medical and Pharmaceutical Research, and Daiichi Sankyo Scholarship Donation Program. He has received research supports from Otsuka Pharmaceutical, Shionogi, and Meiji Seika Pharma. YN also receives equipment-in-kind supports for an investigator-initiated study from Magventure Inc., Inter Reha Co., Ltd., Rogue Resolutions Ltd., and Miyuki Giken Co., Ltd. EP has received research support from an Ontario Graduate Scholarship (OGS), a Canadian Institutes of Health Research (CIHR) Canada Graduate Scholarship-Master's, a CIHR Vanier Canada Graduate Scholarship, and he currently receives research support from the Healthy Brains for Healthy Lives Postdoctoral Fellowship. MMC has received research funding from the Weston Brain Institute, Alzheimer's Association, and Michael J. Fox Foundation. He is currently receiving support from the Canadian Institutes of Health Research, National Sciences and Engineering Research Council of Canada, and McGill University's Healthy Brains for Healthy Lives Initiative. AG-G has received research support from the following external funding agencies: CIHR, U.S National Institutes of Health, Ontario Mental Health Foundation, National Alliance for Research on Schizophrenia and Depression, Mexico Instituto de Ciencia y Tecnología del Distrito Federal, Consejo Nacional de Ciencia y Tecnología, Ministry of Economic Development and Innovation of Ontario, Ontario Academic Health Science Center Alternate Funding Plan Innovation Fund, and W. Garfield Weston Foundation. HU has received grants from Eisai, Otsuka Pharmaceutical, Dainippon-Sumitomo Pharma, Mochida Pharmaceutical, Meiji-Seika Pharmaceutical, and Novartis; speaker's honoraria from Otsuka Pharmaceutical, Eli Lilly, Shionogi, Pfizer, Yoshitomi Yakuhin, Dainippon-Sumitomo Pharma, Meiji-Seika Pharma, MSD, and Janssen Pharmaceutical; and advisory panel payments from Dainippon-Sumitomo Pharma within the past three years. MM has received research support from Japan Society for the Promotion of Science and grants or speaker's honoraria from Daiichi Sankyo, Dainippon-Sumitomo Pharma, Eisai, Eli Lilly, Fuji Film RI Pharma, Janssen Pharmaceutical, Mochida Pharmaceutical, MSD, Nippon Chemipher, Novartis Pharma, Ono Yakuhin, Otsuka Pharmaceutical, Pfizer, Takeda Yakuhin, Tsumura, and Yoshitomi Yakuhin within the past three years. SN has received fellowship grants from CIHR, Japan Research Foundation for Clinical Pharmacology, Naito Foundation, Takeda Science Foundation, Uehara Memorial Foundation, and Daiichi Sankyo Scholarship Donation Program within the past three years. SN has also received research supports, manuscript fees or speaker's honoraria from Dainippon Sumitomo Pharma, Meiji-Seika Pharma, Otsuka Pharmaceutical, Shionogi, and Yoshitomi Yakuhin within the past three years. Other authors have no financial or other relationship relevant to the subject of this manuscript., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Aim: It is well accepted that early improvement with antipsychotics predicts subsequent response in patients with schizophrenia. However, no study has examined the contribution of individual symptoms rather than overall symptom severity as the predictors. Thus, we aimed to detect individual symptoms whose improvements could predict subsequent response in patients with schizophrenia during treatment with asenapine and examine whether a prediction model with individual symptoms would be superior to a model using overall symptom severity., Methods: This study analyzed a dataset including 532 patients with schizophrenia enrolled in a 6-week double-blind, placebo-controlled, randomized trial of asenapine. Response to asenapine was defined as a ≥30% decrease in Positive and Negative Syndrome Scale (PANSS) total score from baseline to week 6. Stepwise logistic regression analyses were performed to investigate the associations among response and PANSS total/individual item score improvements at week 1 or week 2., Results: Response was associated with early improvement in the following PANSS items: disturbance of volition, active social avoidance, poor impulse control at week 1; and active social avoidance, poor attention, lack of judgment and insight at week 2. Prediction accuracy was almost compatible between the model with individual symptoms and the model with PANSS total score both at weeks 1 and 2 (Nagelkerke R 2 : .51, .42 and .55, .54, respectively)., Conclusion: Early improvement in negative symptoms, poor attention and impulse control, and lack of insight, in particular predicted subsequent treatment response in patients with schizophrenia during treatment with asenapine as accurately as prediction based on overall symptom severity., (© 2020 The Authors. Neuropsychopharmacology Reports published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Neuropsycho Pharmacology.)

Adherence to antipsychotic medication is critical for the treatment of patients with schizophrenia. Impaired insight into illness is one of the principal drivers of medication nonadherence, which contributes to negative clinical outcomes. The aims of this study were to examine the relationships between impaired insight and (1) rates of antipsychotic medication nonadherence, and (2) time to medication nonadherence using data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study. Insight was assessed using the Positive and Negative Syndrome Scale (PANSS) item G12 (lack of judgment and insight). Patients were divided into 3 groups based on their degree of insight impairment, i.e. no impairment (PANSS G12 = 1), minimal impairment (PANSS G12 = 2-3), and moderate-to-severe insight impairment (PANSS G12 ≥ 4). Medication nonadherence was defined as taking less than 80% of monthly pill counts. Kaplan-Meier survival and Cox regression analyses were performed to examine differences in time to medication nonadherence between insight groups. There were significant differences between insight groups in the percentage of nonadherent patients at 6 months (χ 2 (2) = 8.80, p = 0.012) and 18 months (χ 2 (2) = 10.04, p = 0.007) after study initiation. Moderate-to-severe insight impairment was associated with earlier nonadherence compared to minimal (χ 2  = 4.70, p = 0.030) or no impairment (χ 2  = 11.92, p = 0.001). The association remained significant after adjustment for illness severity, substance use, attitudes toward medication, cognition, level of hostility, and depression. The results of this study indicate a strong link between impaired insight and antipsychotic medication nonadherence. Interventions to enhance insight early during treatment may help improve medication adherence, and in turn, long-term clinical and functional outcomes in patients with schizophrenia. This article is part of the issue entitled 'Special Issue on Antipsychotics'., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Treatment-resistant schizophrenia may be related to structural brain alterations. However, the mechanisms underlying these changes remain unclear. The present study had two main aims: (1) to explore differences in cortical thickness between patients with treatment-resistant schizophrenia non-responsive to clozapine (ultra-treatment-resistant schizophrenia, UTRS), patients with treatment-resistant schizophrenia responsive to clozapine (Cloz-Resp), patients responsive to first-line non-clozapine antipsychotics (FL-Resp), and healthy controls (HCs); and (2) to test our hypothesis of structural compromise as a manifestation of neurotoxic effects from elevated glutamate (Glu) (i.e. glutamate-mediated excitotoxicity) by examining the relationships between glutamatergic neurometabolite levels (Glu and glutamate + glutamine (Glx)) in the dorsal anterior cingulate cortex (dACC) and cortical thickness. T1-weighted images and 1 H-MRS data were obtained from UTRS (n = 24), Cloz-Resp (n = 25), FL-Resp (n = 19), and HCs (n = 26). Vertex-wise analyses showed that patients with UTRS had widespread cortical thinning in the bilateral frontal, temporal, parietal, and occipital gyri compared to HCs and FL-Resp patients. In the patient group, negative associations were found between dACC Glx levels and cortical thickness in the right dorsolateral prefrontal cortex after correcting for multiple comparisons and controlling for age, sex, antipsychotic dose, and illness severity. In conclusion, glutamate-mediated excitotoxicity may be one of the mechanisms underlying structural compromise seen in treatment-resistant schizophrenia. Future studies should longitudinally examine the associations between glutamatergic neurometabolite levels and cortical thickness in the context of treatment and illness progression., Competing Interests: Declaration of competing interest Dr. Plitman reports receiving funding from Canadian Institute of Health Research (CIHR) and the Healthy Brains for Healthy Lives Postdoctoral Fellowship. Dr. Iwata reports receiving fellowship grants from Keio University Medical Science Foundation, Mitsukoshi Foundation, Japan Foundation for Aging and Health, and manuscript fees from Dainippon Sumitomo Pharma. Dr. Nakajima has received fellowship grants from CIHR, research support from Japan Society for the Promotion of Science, Japan Agency for Medical Research and Development, Japan Research Foundation for Clinical Pharmacology, Naito Foundation, Takeda Science Foundation, Uehara Memorial Foundation, Daiichi Sankyo, and manuscript fees or speaker's honoraria from Dainippon Sumitomo Pharma and Yoshitomi Yakuhin within the past three years. Dr. Hahn reports being on an advisory board for Alkermes in the past. Dr. Remington reports external funding from CIHR, travel support from Neurocrine Biosciences, and research support from HLS. Dr. Gerretsen reports receiving research support from CIHR, Ontario Ministry of Health and Long-Term Care, Ontario Mental Health Foundation (OMHF), and the Centre for Addiction and Mental Health (CAMH). Dr. Graff-Guerrero has received research support from the following external funding agencies: the CIHR, US NIH, OMHF, NARSAD, Mexico Instituto de Ciencia y Tecnología del Distrito Federal, Consejo Nacional De Ciencia Y Tecnología, Ministry of Economic Development and Innovation of Ontario, Ontario AHSC AFP Innovation Fund and W. Garfield Weston Foundation. All other authors report no conflict of interest., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Widespread structrual abnormalities in subcortical brain regions have been identified in patients with schizophrenia. However, only a few studies have examined the neuroanatomical profiles of patients with treatment-resistant schizophrenia. The aim of this study was to compare differences in subcortical and hippocampal volumes between: (i) treatment-resistant patients who are non-responders to both first-line antipsychotics and clozapine (URS), (ii) treatment-resistant patients who are non-responders to first-line antipsychotics but are responders to clozapine (CLZ-Resp), (iii) responders to first-line antipsychotics (FL-Resp), and (iv) healthy controls. T1-weighted images of 103 participants (27 URS, 29 CLZ-Resp, 21 FL-Resp, and 26 healthy controls) were obtained. Group differences in striatal, thalamic, globus pallidus, amygdala, and hippocampus volumes were examined. Multiple regression analyses were performed to examine the associations between subcortical and hippocampal volumes and participant characteristics. The FL-Resp group showed larger striatal and globus pallidus volumes compared to the URS group and larger post-commissural putamen and globus pallidus volumes compared to healthy controls. The URS group showed smaller thalamic volume compared to healthy controls. There were no subcortical or hippocampal volume differences between the URS and CLZ-Resp groups. Differences in subcortical and hippocampal structural volumes were not related to symptom severity or chlorpromazine antipsychotic dose equivalents. Our findings suggest different structural volume alterations in subcortical brain regions between treatment-resistant schizophrenia and responders to first-line antipsychotics. Whether subcortical structure compromise is a distinct pathophysiological marker of treatment-resistant schizophrenia, or a result of antipsychotic exposure, remains to be explored., Competing Interests: Declaration of Competing Interest J.K. has received funding from the CAMH Foundation and the Ontario Graduate Scholarship (OGS). E.P. has received funding from the Healthy Brains for Healthy Lives Postdoctoral Fellowship, the Vanier Canada Graduate Scholarship, the OGS, and the Canada Graduate Scholarship – Master's. Y.I. has received fellowship grants from Keio University Medical Science Foundation, Mitsukoshi Foundation, Japan Foundation for Aging and Health, and manuscript fees from Dainippon Sumitomo Pharma. S.N. has received fellowship grants from the Canadian Institutes of Health Research (CIHR), research support from Japan Society for the Promotion of Science, Japan Agency for Medical Research and Development, Japan Research Foundation for Clinical Pharmacology, Naito Foundation, Takeda Science Foundation, Uehara Memorial Foundation, and Daiichi Sankyo Scholarship Donation Program within the past 3 years. He has also received research support, manuscript fees, or speaker's honoraria from Dainippon Sumitomo Pharma, Meiji-Seika Pharma, Otsuka Pharmaceutical, Shionogi, and Yoshitomi Yakuhin within the past 3 years. J.K.C. has received funding from the CIHR Doctoral Award and the Canada Graduate Scholarship – Master's. F.C. has received funding from CIHR, the Ontario Mental Health Post-Doctoral Fellowship Award, CAMH Foundation, the Brain & Behavior Research Foundation (Formerly NARSAD), and the Vancouver Coastal Health Research Institute. G.R. has received consultant fees from Neurocrine Biosciences and Synchroneuron, as well as research support from Novartis. P.G. reports receiving research support from CIHR, Ontario Ministry of Health and Long-Term Care, Ontario Mental Health Foundation (OMHF), and CAMH. A.G.-G. has received support from the United States National Institute of Health, CIHR, OMHF, Consejo Nacional de Ciencia y Tecnología, the Instituto de Ciencia y Tecnología del DF, the Brain & Behavior Research Foundation (Formerly NARSAD), the Ontario Ministry of Health and Long-Term Care, the Ontario Ministry of Research and Innovation Early Research Award, and Janssen. All other authors have declared that there are no conflicts of interest in relation to the subject of this study., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Approximately 30% of patients with schizophrenia do not respond to antipsychotics and are thus considered to have treatment-resistant schizophrenia (TRS). To date, only four studies have examined glutamatergic neurometabolite levels using proton magnetic resonance spectroscopy ( 1 H-MRS) in patients with TRS, collectively suggesting that glutamatergic dysfunction may be implicated in the pathophysiology of TRS. Notably, the TRS patient population in these studies had mild-to-moderate illness severity, which is not entirely reflective of what is observed in clinical practice. In this present work, we compared glutamate + glutamine (Glx) levels in the dorsal anterior cingulate cortex (dACC) and caudate among patients with TRS, patients with non-TRS, and healthy controls (HCs), using 3T 1 H-MRS (PRESS, TE = 35 ms). TRS criteria were defined by severe positive symptoms (i.e., ≥5 on 2 Positive and Negative Syndrome Scale (PANSS)-positive symptom items or ≥4 on 3 PANSS-positive symptom items), despite standard antipsychotic treatment. A total of 95 participants were included (29 TRS patients [PANSS = 111.2 ± 20.4], 33 non-TRS patients [PANSS = 49.8 ± 13.7], and 33 HCs). dACC Glx levels were higher in the TRS group vs. HCs (group effect: F[2,75] = 4.74, p = 0.011; TRS vs. HCs: p = 0.012). No group differences were identified in the caudate. There were no associations between Glx levels and clinical severity in either patient group. Our results are suggestive of greater heterogeneity in TRS relative to non-TRS with respect to dACC Glx levels, necessitating further research to determine biological subtypes of TRS.

Objective: The aim of the present study was to identify individual symptoms whose early improvements contributed to subsequent treatment response to antipsychotics for neuropsychiatric symptoms (NPSs) in patients with Alzheimer's disease (AD) using the dataset of the Clinical Antipsychotic Trials of Intervention Effectiveness-Alzheimer's Disease (CATIE-AD)., Methods: The CATIE-AD study was conducted between April 2001 and November 2004 at 45 sites in the United States. Data for 421 patients with DSM-IV AD with NPSs treated with antipsychotics were analyzed in the present study. Treatment response was defined as a reduction of ≥ 9 points in the Neuropsychiatric Inventory (NPI) score or a reduction of ≥ 25% from baseline in Brief Psychiatric Rating Scale (BPRS) total score at week 8. Logistic regression analyses were performed to examine associations between response and clinical and demographic characteristics, including each total or individual symptom score reduction at week 2., Results: Reduction in NPI or BPRS total score at week 2 and several individual symptom score reductions (euphoria/elation, irritability, hallucinations, anxiety, agitation, apathy, disinhibition, and depression among NPI subitems; excitement, suspiciousness, disorientation, hostility, depressive mood, and emotional withdrawal among BPRS subitems) at week 2 were significantly associated with subsequent treatment response at week 8 (all P values < .05); Early non-improvements of irritability and suspiciousness were shown to be especially influential clinical markers in predicting subsequent treatment nonresponse. Furthermore, healthier condition at baseline was significantly associated with treatment response at week 8 (P < .05)., Conclusions: Although further research to validate these preliminary findings is needed, focusing on early improvements of individual symptoms could help identify subsequent treatment responders to antipsychotics in AD patients with NPSs., Trial Registration: ClinicalTrials.gov identifier: NCT00015548., (© Copyright 2020 Physicians Postgraduate Press, Inc.)

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 χ 2  = 5.33, p = 0.021) and number of pre-clozapine hospitalizations (OR = 0.95, Wald χ 2  = 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.

Background: In terms of antipsychotic treatment response, patients with schizophrenia can be classified into three groups: 1) treatment resistant to both non-clozapine (non-CLZ) antipsychotics and CLZ (ultra-treatment-resistant schizophrenia [URS]), 2) treatment resistant to non-CLZ antipsychotics but CLZ-responsive schizophrenia [non-URS]), and 3) responsive to first-line antipsychotics (non-treatment-resistant schizophrenia). This study aimed to compare glutamatergic neurometabolite levels among these three patient groups and healthy control subjects using proton magnetic resonance spectroscopy., Methods: Glutamate and glutamate+glutamine levels were assessed in the caudate, the dorsal anterior cingulate cortex (dACC), and the dorsolateral prefrontal cortex using 3T proton magnetic resonance spectroscopy (point-resolved spectroscopy, echo time = 35 ms). Glutamatergic neurometabolite levels were compared between the groups., Results: A total of 100 participants were included, consisting of 26 patients with URS, 27 patients with non-URS, 21 patients with non-treatment-resistant schizophrenia, and 26 healthy control subjects. Group differences were detected in ACC glutamate+glutamine levels (F 3,96  = 2.93, p = .038); patients with URS showed higher dACC glutamate+glutamine levels than healthy control subjects (p = .038). There were no group differences in the caudate or dorsolateral prefrontal cortex., Conclusions: Taken together with previous studies that demonstrated higher ACC glutamate levels in patients with treatment-resistant schizophrenia, this study suggests that higher levels of ACC glutamatergic metabolites may be among the shared biological characteristics of treatment resistance to antipsychotics, including CLZ., (Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: The relationship between dopamine D 2 receptor (D 2 R) occupancy and impaired illness awareness (IIA) remains unclear. While IIA is associated with illness severity and cognitive dysfunction, antipsychotic medication, the principal treatment for schizophrenia, indirectly improves IIA, but may simultaneously contribute to cognitive dysfunction at supratherapeutic doses., Aim and Methods: We investigated the influence of estimated D 2 R (Est.D 2 R) occupancy by antipsychotics on the relationships between IIA and illness severity, and IIA and cognition. IIA was assessed in 373 adult patients with schizophrenia (18-62 years) using data from CATIE. IIA was measured using the Positive and Negative Syndrome Scale (PANSS) item G12. D 2 R occupancy levels were estimated from plasma concentrations for risperidone, olanzapine, and ziprasidone. Correlation, regression, and path analyses were performed to examine IIA's relationship to illness severity, cognition, and Est.D 2 R., Results: Illness severity was predictive of IIA. However, premorbid IQ, cognition, and Est.D 2 R did not predict IIA, and Est.D 2 R did not serve either a moderating or mediating role in both regression and path analyses., Conclusions: Consistent with previous literature, our results suggest that IIA is a function of illness severity in adult patients with schizophrenia. Future studies should explore whether D 2 R occupancy mediates the relationships between IIA and illness severity, and IIA and cognitive dysfunction, in late-life schizophrenia (i.e. ≥60 years) given the effects of aging on cognition, IIA, and antipsychotic sensitivity., (Copyright © 2018. Published by Elsevier Inc.)

Approximately one-third of patients with schizophrenia have treatment-resistant schizophrenia (TR-SCZ), which is a condition characterized by suboptimal response to antipsychotics other than clozapine. Importantly, treatment with clozapine-the only antipsychotic with an indication for TR-SCZ-is often delayed, which could contribute to negative outcomes. Given that the specific impact of delay in clozapine initiation is not well understood, we aimed to conduct a systematic search of the Ovid Medline ® database to identify English language publications exploring the impact of delay in clozapine initiation on treatment outcomes in patients with TR-SCZ. Additionally, clinico-demographic factors associated with clozapine delay were examined. Our search identified four retrospective studies that showed an association between longer delay in clozapine initiation and poorer treatment outcomes, even after including covariates, such as age, sex, and duration of illness. In addition, we found six studies that showed an association between age and clozapine delay, but results with regard to other clinico-demographic variables were inconsistent. Overall, the available literature reveals a possible link between delay in clozapine use and poorer treatment outcomes in patients with TR-SCZ. However, given the relatively small number of studies on this clinically important topic, future research is warranted to draw more definitive conclusions., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Previous proton magnetic resonance spectroscopy ( 1 H-MRS) studies have reported disrupted levels of various neurometabolites in patients with schizophrenia. An area of particular interest within this patient population is the striatum, which is highly implicated in the pathophysiology of schizophrenia. The present study examined neurometabolite levels in the striatum of 12 patients with schizophrenia receiving antipsychotic treatment for at least 1 year and 11 healthy controls using 3-Tesla 1 H-MRS (PRESS, TE = 35 ms). Glutamate, glutamate+glutamine (Glx), myo-inositol, choline, N-acetylaspartate, and creatine levels were estimated using LCModel, and corrected for fraction of cerebrospinal fluid in the 1 H-MRS voxel. Striatal neurometabolite levels were compared between groups. Multiple study visits permitted a reliability assessment for neurometabolite levels (days between paired 1 H-MRS acquisitions: average = 90.33; range = 7-306). Striatal neurometabolite levels did not differ between groups. Within the whole sample, intraclass correlation coefficients for glutamate, Glx, myo-inositol, choline, and N-acetylaspartate were fair to excellent (0.576-0.847). The similarity in striatal neurometabolite levels between groups implies a marked difference from the antipsychotic-naïve first-episode state, especially in terms of glutamatergic neurometabolites, and might provide insight regarding illness progression and the influence of antipsychotic medication., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objective: Research and clinical translation in schizophrenia is limited by inconsistent definitions of treatment resistance and response. To address this issue, the authors evaluated current approaches and then developed consensus criteria and guidelines., Method: A systematic review of randomized antipsychotic clinical trials in treatment-resistant schizophrenia was performed, and definitions of treatment resistance were extracted. Subsequently, consensus operationalized criteria were developed through 1) a multiphase, mixed methods approach, 2) identification of key criteria via an online survey, and 3) meetings to achieve consensus., Results: Of 2,808 studies identified, 42 met inclusion criteria. Of these, 21 studies (50%) did not provide operationalized criteria. In the remaining studies, criteria varied considerably, particularly regarding symptom severity, prior treatment duration, and antipsychotic dosage thresholds; only two studies (5%) utilized the same criteria. The consensus group identified minimum and optimal criteria, employing the following principles: 1) current symptoms of a minimum duration and severity determined by a standardized rating scale; 2) moderate or worse functional impairment; 3) prior treatment consisting of at least two different antipsychotic trials, each for a minimum duration and dosage; 4) systematic monitoring of adherence and meeting of minimum adherence criteria; 5) ideally at least one prospective treatment trial; and 6) criteria that clearly separate responsive from treatment-resistant patients., Conclusions: There is considerable variation in current approaches to defining treatment resistance in schizophrenia. The authors present consensus guidelines that operationalize criteria for determining and reporting treatment resistance, adequate treatment, and treatment response, providing a benchmark for research and clinical translation.

Objectives: To assess the impact of reducing the dose of antipsychotics on cognition and dopaminergic D 2 receptor availability in the whole striatum, and identify their relationship in patients with schizophrenia aged 50 years or older., Design: Open-label prospective PET [ 11 C]-raclopride study., Setting: A tertiary care center outpatient setting., Participants: Thirty-seven clinically stable participants with schizophrenia or schizoaffective disorder, aged 50 years or greater, and having been treated with olanzapine or risperidone monotherapy at the same dose for at least 6 months., Intervention: Gradual reduction in their olanzapine or risperidone daily dose of up to 40%., Measurements: Clinical and cognitive assessments, and [ 11 C]-raclopride PET to determine D 2 receptor availability at baseline and after the dose reduction. Main outcome measures were overall cognition and D 2 receptor availability in whole striatum., Results: Reducing the antipsychotic dose resulted in an increase in D 2 receptor availability in the whole striatum and an association between D 2 receptor availability and overall cognition despite lack of change in the latter. There was also an association between change in D 2 receptor availability and change in overall cognition., Conclusions: Our findings suggest that optimizing D 2 receptor availability by reducing antipsychotic dose allows this system to contribute more significantly to cognitive function in patients with schizophrenia. This uncovered association could be harnessed by cognitive-enhancing interventions., (Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background/objective: The aim of the present study was to investigate predictors of atypical antipsychotic (AAP) treatment continuation and response by week 8 in patients with Alzheimer's disease (AD) who have psychotic/aggressive symptoms using the Clinical Antipsychotic Trials of Intervention Effectiveness-Alzheimer's Disease (CATIE-AD) dataset., Methods: Clinical data was utilized from 421 AD outpatients with psychotic/aggressive symptoms who needed interventional treatment. Logistic regression analyses were performed to examine which baseline sociodemographic and clinical characteristics contributed to treatment 'continuation' and 'response', the latter of which was evaluated by the Clinical Global Impression of Change (CGI-C), Neuropsychiatric Inventory (NPI), and Brief Psychiatric Scale (BPRS)., Results: The treatment continuation rate was 48.7%, and CGI-C, NPI, and BPRS response rate by the last observation carried forward method were 42.7%, 48.6%, and 37.5%, respectively. No significant predictor was identified for treatment continuation in the Caucasian patients (n = 331), while better treatment response was predicted by a lower Mini-Mental State Examination score, treatment with risperidone (versus olanzapine and quetiapine), history of diabetes mellitus, healthier physical status, and more severe initial psychotic symptoms., Conclusions: Comparatively high intolerability from AAPs in the short term was confirmed. We found that baseline clinical predictors to treatment response in Caucasian AD patients with psychotic/aggressive symptoms include treatment with risperidone (versus quetiapine and olanzapine), diabetes mellitus, global physical status, cognitive impairment, and psychotic symptoms. Going forward, these findings may help to determine treatment strategies or care plans.

Objective: Although hyperprolactinemia carries a long-term risk of morbidity, the threshold of dopamine D2/3 receptor (D2/3R) occupancy for hyperprolactinemia has not been investigated in older patients with schizophrenia. Data were taken from a positron emission tomography (PET) study conducted between August 2007 and August 2015. The present post hoc study included 42 clinically stable outpatients with schizophrenia (DSM-IV) (mean ± SD age = 60.2 ± 6.7 years) taking olanzapine or risperidone. Subjects underwent [¹¹C]-raclopride PET scans to measure D2/3R occupancy before and after reducing their dose of antipsychotic by up to 40%. Blood samples were collected before each PET scan to measure prolactin levels., Methods: The relationship between prolactin levels and D2/3R occupancy was examined using stepwise linear regression analyses. The D2/3R occupancy thresholds for hyperprolactinemia were explored using Fisher exact tests., Results: Prolactin levels decreased following dose reduction (mean ± SD = 24.1 ± 30.2 ng/mL to 17.2 ± 15.1 ng/mL; P < .001). Prolactin levels were associated with female gender (β = .32, P = .006, vs male), antipsychotics (β = .23, P = .02, risperidone vs olanzapine), and D2/3R occupancy (β = .23, P = .04). Those with D2/3R occupancy of 66% or higher were more likely to have hyperprolactinemia than those with D2/3R occupancy lower than 66% (P = .03). Sensitivity, specificity, positive predictive value, and negative predictive value of this threshold were 0.44, 0.81, 0.78, and 0.48, respectively. We identified a D2/3R occupancy threshold for hyperprolactinemia of 66% in older patients with schizophrenia, which is lower than that reported in younger patients (73%) by other researchers., Conclusions: Our results suggest a higher sensitivity to antipsychotics in older patients. Prolactin levels could assist in the determination of appropriate antipsychotic dosing to minimize adverse effects., Trial Registration: ClinicalTrials.gov identifier: NCT00716755., (© Copyright 2016 Physicians Postgraduate Press, Inc.)

Rationale: Several pre-clinical studies suggest that antipsychotic medications cause secondary negative symptoms. However, direct evidence for a relationship among antipsychotic medications, their direct effects on neurotransmitter systems, and negative symptoms in schizophrenia remains controversial., Objective: The objective of this study was to examine the relationship between antipsychotic-related dopamine D 2/3 receptor occupancy and negative symptoms in patients with schizophrenia., Methods: Forty-one clinically stable outpatients with schizophrenia participated in this prospective dose reduction positron emission tomography (PET) study. Clinical assessments and [ 11 C]-raclopride PET scans were performed before and after participants underwent gradual dose reduction of their antipsychotic medication by up to 40 % from the baseline dose., Results: No significant relationship was found between antipsychotic-related dopamine D 2/3 receptor occupancy and negative symptom severity at baseline or follow-up. Similar null findings were found for subdomains of negative symptoms (amotivation and diminished expression). Occupancy was significantly lower following dose reduction; however, negative symptom severity did not change significantly, though a trend toward reduction was noted. Examination of change scores between these two variables revealed no systematic relationship., Conclusions: Our cross-sectional and longitudinal results failed to find a significant dose-dependent relationship between severity of negative symptoms and antipsychotic-related dopaminergic antagonism in schizophrenia. These findings argue against the notion that antipsychotics necessarily cause secondary negative symptoms. Our results are also in contrast with the behavioral effects of dopaminergic antagonism routinely reported in pre-clinical investigations, suggesting that the role of this variable in the context of chronic treatment and schizophrenia needs to be re-examined.

To compare the efficacy of antipsychotics (APs) for delirium treatment in patients with cancer, 27 patients treated with 1 of the 4 APs, haloperidol (HPD), risperidone (RIS), olanzapine (OLZ), and quetiapine (QTP), were divided into 2 groups: long half-life (T1/2; HPD, RIS, and OLZ) versus short T1/2 (QTP) or the multiacting receptor-targeted APs (MARTAs; OLZ and QTP) versus the non-MARTA (HPD and RIS). The symptom severity was evaluated by the memorial delirium rating scale (MDAS) on days 0, 3, and 7 following intervention. Significant improvements in total MDAS scores were found in all groups on day 3. However, on day 7, only the short T1/2 group and MARTA group showed significant improvement. Consideration of an AP's pharmacological properties may be helpful for improving the outcomes of pharmacological delirium intervention in patients with cancer., (© The Author(s) 2014.)

Background: The Neuropsychiatric Inventory (NPI) comprises 12 items, which were conventionally determined by psychopathological symptoms of patients with dementia. The clinical rating scales with structured questionnaires have been useful to evaluate neuropsychiatric symptoms (NPSs) of patients with dementia over the past twenty year., Objective: The aim of this study was to classify the conventional NPSs in patients with Alzheimer's disease (AD) requiring antipsychotic treatment for their NPSs into distinct clusters to simplify assessment of these numerous symptoms., Methods: Twelve items scores (product of severity and frequency of each symptom) in the NPI taken from the baseline visit were classified into subgroups by principle component analysis using data from 421 outpatients with AD enrolled in the Clinical Antipsychotic Trials of Intervention Effectiveness-Alzheimer's Disease (CATIE-AD) Phase 1. Chi square tests were conducted to examine the co-occurrence of the subgroups., Results: We found four distinct clusters: aggressiveness (agitation and irritabilities), apathy and eating problems (apathy and appetite/eating disturbance), psychosis (delusions and hallucinations), and emotion and disinhibition (depression, euphoria, and disinhibition). Anxiety, aberrant motor behavior, and sleep disturbance were not included by these clusters. Apathy and eating problems, and emotion and disinhibition co-occurred (p = 0.002), whereas aggressiveness and psychosis occurred independent of the other clusters., Conclusions: Four distinct category clusters were identified from NPSs in patients with AD requiring antipsychotic treatment. Future studies should investigate psychosocial backgrounds or risk factors of each distinct cluster, in addition to their longitudinal course over treatment intervention.

Background: Population pharmacokinetics can predict antipsychotic blood concentrations at a given time point prior to a dosage change. Those predicted blood concentrations could be used to estimate the corresponding dopamine D2/3 receptors (D2/3R) occupancy by antipsychotics based on the tight relationship between blood and brain pharmacokinetics. However, this 2-step prediction has never been tested., Methods: Two blood samples were collected at separate time points from 32 clinically stable outpatients with schizophrenia (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; mean ± SD age: 60.1 ± 7.3 years) to measure plasma concentrations of olanzapine or risperidone at baseline. Then, subjects underwent a dose reduction of olanzapine or risperidone and completed a [(11)C]-raclopride positron emission tomography scan to measure D2/3R occupancy in the putamen. The plasma concentration at the time of the scan was predicted with the 2 samples based on population pharmacokinetic model, using NONMEM. D2/3R occupancy was then estimated by incorporating the predicted plasma concentration in a hyperbole saturation model. The predicted occupancy was compared to the observed value., Results: The mean (95% CI) prediction errors for the prediction of D2/3R occupancy were -1.76% (-5.11 to 1.58) for olanzapine and 0.64% (-6.18 to 7.46) for risperidone. The observed and predicted D2/3R occupancy levels were highly correlated (r = 0.67, P = .001 for olanzapine; r = 0.67, P = .02 for risperidone)., Conclusions: D2/3R occupancy levels can be predicted from blood drug concentrations collected prior to dosage change. Although this 2-step model is subject to a small degree of error, it could be used to select oral doses aimed at achieving optimal D2/3R occupancy on an individual basis., (© The Author 2015. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Introduction: Due to high inter-individual variability in peripheral pharmacokinetic parameters, dosing of antipsychotics currently relies on clinical trial-and-error, and predicting antipsychotic plasma concentrations before changing a dose has been a challenge., Methods: Patients with schizophrenia receiving a stable dose of olanzapine were included. 2 plasma samples were collected at 2 given time points for the measurement of plasma olanzapine concentrations. At least 7 days after a dosage change of olanzapine, a third sample was collected. The plasma concentration of the third sample was predicted in a blinded fashion using a mixed-effects model with NONMEM(®), using the following information: the 2 baseline plasma concentrations, the interval between the last dose and blood draw, and clinical and demographic information., Results: 31 subjects (mean±SD age=56.0±11.6; 19 men) were enrolled. The mean prediction (95% confidence interval) errors were 1.6 (-2.8 to 6.0) ng/mL. A highly significant correlation was observed between the observed and predicted concentrations of the third sample (r=0.91, p<0.001)., Discussion: Plasma olanzapine concentrations following an actual dosage change can be predicted in advance with a high degree of certainty., (© Georg Thieme Verlag KG Stuttgart · New York.)

Importance: Patients with late-life schizophrenia (LLS) are highly susceptible to antipsychotic adverse effects. Treatment guidelines endorse lower antipsychotic doses. However, the optimal dose of antipsychotics and associated dopamine D2/3 receptor (D2/3R) occupancies remain largely unexplored in patients with LLS., Objective: To evaluate effects of antipsychotic dose reduction on striatal dopamine D2/3R occupancies, clinical variables, and blood pharmacokinetic measures in patients with LLS., Design, Setting, and Participants: An open-label, single-arm prospective study with a 3- to 6-month follow-up period (January 10, 2007, to October 21, 2013) was conducted at an academic tertiary care center with practice for ambulatory care. Participants included 35 outpatients with clinically stable LLS (patients aged ≥ 50 years receiving olanzapine or risperidone monotherapy at the same dose for 6 to 12 months). Follow-up was completed on October 21, 2013, and analysis was conducted from October 22, 2014, to February 2, 2015., Interventions: Carbon 11-labeled raclopride positron emission tomography, clinical measures, and blood pharmacokinetic measures performed before and after gradual dose reduction by up to 40% from the baseline dose and at least 3 months after dose reduction., Main Outcomes and Measures: Striatal dopamine D2/3R occupancies with antipsychotics, clinical measures (Positive and Negative Syndrome Scale, Brief Psychiatric Rating Scale, Targeted Inventory on Problems in Schizophrenia, Simpson-Angus Scale, Barnes Rating Scale for Drug-Induced Akathisia, Udvalg for Kliniske Undersøgelser Side Effect Rating Scale), and blood pharmacokinetic measures (prolactin and antipsychotic blood levels)., Results: Dopamine D2/3R occupancy of the entire sample decreased by a mean (SD) of 6.2% (8.2%) following dose reduction (from 70% [12%] to 64% [12%]; P < .001). The lowest D2/3R occupancy associated with clinical stability was 50%. Extrapyramidal symptoms (EPSs) were more likely to occur with D2/3R occupancies higher than 60%: 90.5% (19 of 21) of the participants with baseline EPSs and 76.9% (10 of 13) of the participants with postreduction EPSs had striatal D2/3R occupancies higher than 60%. The baseline D2/3R occupancies were lower in patients with clinical deterioration (n = 5) than in those whose condition remained stable (n = 29) (58% [15%] vs 72% [10%]; P = .03). Following dose reduction, Targeted Inventory on Problems in Schizophrenia score increased (P = .046) and Positive and Negative Syndrome Scale (P = .02), Brief Psychiatric Rating Scale (P = .03), Simpson-Angus Scale (P < .001), Barnes Rating Scale for Drug-Induced Akathisia (P = .03), and Udvalg for Kliniske Undersøgelser Side Effect Rating Scale (P < .001) scores and prolactin (P < .001) and blood antipsychotic (olanzapine, P < .001; risperidone plus the metabolite 9-hydroxyrisperidone, P = .02) levels all decreased., Conclusions and Relevance: Antipsychotic dose reduction is feasible in patients with stable LLS, decreasing adverse effects and improving illness severity measures. The results of the present study suggest a lower therapeutic window of D2/3R occupancy in patients with LLS (50%-60%) than previously reported in younger patients (65%-80%).

Background: No study has examined dopamine D₂/₃ receptor (D₂/₃R) availability in antipsychotic-free older patients with schizophrenia., Methods: We included patients with schizophrenia 50 years or older who were antipsychotic-free for at least 3 months. We compared non-displaceable binding potential (BPND) of [(11)C]-raclopride in the caudate, putamen, ventral striatum, and globus pallidus between patients and age- and sex-matched healthy controls., Results: Ten patients participated (antipsychotic-naive=4). No differences in BPND were found between patients and controls in any ROIs (F(1, 72)=.42, p=.52)., Conclusion: The preliminary results suggest no differences in D₂/₃R availability between antipsychotic-free older patients with schizophrenia and controls., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Background: The comparative antidepressant effects of clozapine and other atypical antipsychotics for schizophrenia remain elusive, leading us to examine this question using the data from the Clinical Antipsychotic Trials of Intervention Effectiveness phase 2E., Methods: Ninety-nine patients who discontinued treatment with olanzapine, quetiapine, risperidone, or ziprasidone because of inadequate efficacy were randomly assigned to open-label treatment with clozapine (n=49) or double-blind treatment with another atypical antipsychotic not previously received in the trial (olanzapine [n=19], quetiapine [n=15], or risperidone [n=16]). The primary outcome was the Calgary Depression Scale for Schizophrenia (CDSS) total score. Antidepressant effects of clozapine and the other atypical antipsychotics were compared in patients with chronic schizophrenia and those with a major depressive episode (MDE) at baseline (i.e. ≥6 on the CDSS), using mixed models., Results: No differences in the baseline CDSS total scores were found between the treatment groups regardless of presence of an MDE. Clozapine was more effective than quetiapine in antidepressant effects for chronic schizophrenia (p<.01 for the whole sample and p=.01 for those with an MDE), and comparable to olanzapine and risperidone., Conclusion: The present findings suggest that clozapine demonstrates superior antidepressant effects to quetiapine and comparable effects to olanzapine and risperidone in chronic schizophrenia regardless of presence of MDE. Given the indication of clozapine for treatment-resistant schizophrenia (TRS) and the negative impacts of depressive symptoms on clinical outcomes in schizophrenia, further research is warranted to investigate antidepressant effects of clozapine in TRS with an MDE., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Objective: Antipsychotic dose reduction is generally recommended to occur after six months of clinical stabilization despite inadequate evidence. This timing issue was addressed in this study., Methods: This is an observational, retrospective and medical chart-based study. Inclusion criteria were (1) diagnosis of schizophrenia (DSM-IV), (2) being acutely psychotic at their first outpatient visit from May, 2002 to April, 2003, (3) having responded to antipsychotics and achieved clinical stabilization of acute symptoms, indexed as a fixation of regimen for four or more weeks, and (4) having one or more years of follow-up. Patients who had their antipsychotic doses reduced were then identified, and they were divided into two groups based on the waiting period before dose reduction: <24 weeks (Early Group) and ≥24 weeks (Standard Group). The rate of dose escalation for ≥20% during follow-up period was investigated as a proxy of clinical worsening., Results: After excluding stable patients at baseline, 211 patients met inclusion criteria. The mean ± SD waiting period before reducing antipsychotics was 122 ± 102 days. The rates of patients needing dose escalation were not significantly different between patients whose dose was reduced (N = 83) and those who was not (N = 128) (57.8% vs. 59.4%), and between Early Group (N = 59) and Standard Group (N = 24) (61.0% vs. 50.0%) although the reduction rate in antipsychotic dosage was significantly greater in Early Group (58.7% vs. 43.3%, p < 0.05)., Conclusion: These findings may indicate that timeline until antipsychotic reduction in stable patients with schizophrenia could be earlier than recommended, although caution is needed in interpreting our retrospective results., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Objective: Most patients with schizophrenia first start with a single antipsychotic, and yet most finally end up 'switching' or using 'polypharmacy'. The objective of this study was to examine the evolution of antipsychotic switch and polypharmacy in the real-world from a longitudinal perspective., Methods: A systematic review of longitudinal antipsychotic prescriptions in 300 patients with schizophrenia (ICD-10) for up to 2 years after their first visit to one of the 4 participating psychiatric clinics in Tokyo, Japan between January, 2007 and June, 2008, was conducted. Reasons for prescription change were also examined. The evolution of switching and polypharmacy was studied, and prescribed doses were compared to suggested dose ranges by the Texas Medication Algorithm Project (TMAP)., Results: 208 patients started their antipsychotic treatment with monotherapy. 34.1% of the patients gave up monotherapy with an initial antipsychotic to move to antipsychotic switch (27.4%) and/or polypharmacy (17.8%) within 2 years. The main reason for antipsychotic switch was 'ineffectiveness'; interestingly, this happened despite the fact that the monotherapy dose was below the recommended range in 47.4% of the antipsychotic switch. In a subgroup of 100 patients who started as antipsychotic-free, 2-year prevalence rates of switching and antipsychotic polypharmacy were 27.0% and 18.0%, respectively, and polypharmacy was resorted to after a median of 1 antipsychotic had been tried for 84 days (median)., Conclusions: These findings raise a concern that physicians may perform an antipsychotic switch without exploring the entire dose range and resort to antipsychotic polypharmacy without trying an adequate number of antipsychotics., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Objective: The primary objective of this article is to review the literature regarding the speed of response to antidepressant drugs and potential strategies to accelerate the antidepressant response in new antidepressant-free patients with depression. Based on these data, we try to propose both an effective and safe antidepressant treatment strategy to alleviate depressive symptoms at the earliest opportunity., Data Sources: Data were identified by searches of Medline (1966 to September 2009) and references from relevant articles and books. Search terms included depression, antidepressant, predictor, response, onset, acceleration, and augmentation. As our focus was on the acute phase treatment of depression, articles relevant to treatment-resistant depression were excluded. Only articles written in English or Japanese were consulted., Data Selection: Studies, reviews, and books pertaining to the treatment of depression with a special regard to accelerating therapeutic effects were selected., Data Synthesis: Most of the available treatment guidelines for major depressive disorders recommend the continuous use of antidepressants for 4 to 8 weeks based on the idea of a delayed onset of response to these drugs. Contrary to this conventional belief, the recent data indicate that antidepressants start to exert their effects within 2 weeks and early non-response could predict a subsequent unfavorable outcome., Conclusions: These findings suggest the need of revisiting the timing of an antidepressant switch for early non-responders, whereby switching could be commenced in as early as 2 weeks., (Copyright 2009 Elsevier B.V. All rights reserved.)

Objective: Most difficult inpatients with schizophrenia are in serious needs but obviously underrepresented in clinical trials., Methods: Very challenging patients received open-label treatment with atypical antipsychotics concurrently augmented with valproic acid. The primary outcome was the newly developed Functional Assessment for Comprehensive Treatment of Schizophrenia (FACT-Sz). Patients improving more than 20 points were classified as responders., Results: Mean age and illness duration of 28 participants (22 male) were 42 y.o. and 20 years, respectively. They had spent a half of their life admitted after the onset. The average Brief Psychiatric Rating Scale (BPRS) and Clinical Global Impression-Severity (CGI-S) were very severe at 79 and 6.1, respectively, with the baseline Global Assessment of Functioning (GAF) of as low as 21. As a result of augmentation, there were nine responders, 12 partial responders, and seven non-responders including only two patients who got worse. The main antipsychotics were mostly either risperidone or olanzapine. Mean maximum oral dose and blood level of valproic acid were 1907 mg and 91.7 microg/ml, respectively. Overall significant improvements whilst to an inadequate degree were noted in clinical parameters. Valproate augmentation was generally well tolerated but serious adverse effects included thrombocytopenia, anaemia and sedation/falls., Conclusions: While these preliminary results need to be tested against tenacious monotherapy or polypharmacy involving clozapine, augmenting atypical antipsychotics with valproic acid can be useful for very severe schizophrenia., (Copyright (c) 2009 John Wiley & Sons, Ltd.)

Although recent treatment guidelines for schizophrenia recommend that the prior antipsychotic agent should remain stable for at least 2 weeks when aripiprazole is introduced, there is no trial-based evidence to support this strategy. This study was designed to compare this strategy with another conventional one in patients with schizophrenia. We conducted a randomized, 14-week, open-label trial to compare the following 2 switching strategies: (1) add-on of aripiprazole on a current regimen, wait for 4 weeks, and the tapering of prior antipsychotics and (2) add-on of aripiprazole and the simultaneous tapering of prior antipsychotics in patients with schizophrenia. Aripiprazole was initiated at 12 mg/d and then titrated between 12 and 30 mg. The previous antipsychotic medication was reduced biweekly by 25%. Assessments included the Clinical Global Impression Scale Schizophrenia version, the Drug-Induced Extrapyramidal Symptoms Scale, and the Subjective Well-being Under Neuroleptics, Short Version, Japanese Edition. Impressions toward their assigned strategy were also subjectively evaluated at baseline and end point. Fifty-three patients were enrolled, and 48 patients completed this trial. No significant differences were found in changes from the baseline in the total Clinical Global Impression Scale Schizophrenia version severity, Drug-Induced Extrapyramidal Symptoms Scale, and Subjective Well-being Under Neuroleptics, Short Version, Japanese Edition scores throughout the study period between the 2 strategies. Both strategies were judged by subjects to be tolerable and favorable without between-group differences. In conclusion, both strategies were found to be objectively safe and well tolerated. Taken together with similar results from subjective assessments, it would be reasonable to choose either of these 2 strategies in clinical practice based on a patients' preference.

Objective: To evaluate the effectiveness of antipsychotic polypharmacy in a methodologically sound manner., Methods: In this open-label study, 17 patients with treatment-refractory schizophrenia, who failed to respond to a sequential monotherapy with olanzapine, quetiapine and risperidone, were subsequently treated with a combination therapy with olanzapine plus risperidone for at least 8 weeks., Results: Seven responded according to the primary endpoint defined as the post-treatment Brief Psychiatric Rating Scale being less than 70% of the pretreatment values, and they were classified as such an average of 10 weeks after the initiation of polypharmacy. Two of them were successful in a later conversion to monotherapy. None dropped out prematurely. Four (out of 13 inpatients) got better enough to be discharged from the hospital, while six patients did not show any response. The Global Assessment of Functioning score improved from 37.1 to 53.0 in responders (mean maximum dose: olanzapine 12.9 mg; risperidone 3.14 mg), while it showed non-significant changes among others (mean maximum dose: olanzapine 14.5 mg; risperidone 5.50 mg). Body weight, prolactin, and total cholesterol increased significantly., Conclusions: Antipsychotic polypharmacy might be sometimes helpful for difficult populations but at the cost of adverse effects. More studies of antipsychotic combination therapy versus clozapine, augmentation strategies or tenacious longer- term monotherapy are warranted for refractory schizophrenia., ((c) 2008 John Wiley & Sons, Ltd.)

The authors applied a statistical method to subclassify tardive dyskinesia (TD) in 71 psychiatric patients. Based on two-step statistical procedures and findings reported previously, TD is considered to consist of 2 subgroups: a classical dyskinesic group and a dystonic group. Symptoms manifested in the former group are seen most frequently in the oral region while the latter group, which is usually called tardive dystonia, is manifested by movement disorders in the trunk and extremities, predominantly. Abnormal movements occurring in the facial region characterize a population whose members may belong to either group.

Hypofunction of N-methyl-d-aspartate (NMDA) receptors has been proposed to have an important role in the cognitive impairments observed in schizophrenia. Although glutamate modulators may be effective in reversing such difficult-to-treat conditions, the results of individual studies thus far have been inconsistent. We conducted a systematic review and meta-analysis to examine whether glutamate positive modulators have beneficial effects on cognitive functions in patients with schizophrenia. A literature search was conducted to identify double-blind randomized placebo-controlled trials in schizophrenia or related disorders, using Embase, Medline, and PsycINFO (last search: February 2015). The effects of glutamate positive modulators on cognitive deficits were evaluated for overall cognitive function and eight cognitive domains by calculating standardized mean differences (SMDs) between active drugs and placebo added to antipsychotics. Seventeen studies (N=1391) were included. Glutamate positive modulators were not superior to placebo in terms of overall cognitive function (SMD=0.08, 95% confidence interval=−0.06 to 0.23) (11 studies, n=858) nor each of eight cognitive domains (SMDs=−0.03 to 0.11) (n=367-940) in this population. Subgroup analyses by diagnosis (schizophrenia only studies), concomitant antipsychotics, or pathway of drugs to enhance the glutamatergic neurotransmission (glycine allosteric site of NMDA receptors or α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors) suggested no procognitive effect of glutamate positive modulators. Further, no effect was found in individual compounds on cognition. In conclusion, glutamate positive modulators may not be effective in reversing overall cognitive impairments in patients with schizophrenia as adjunctive therapies. [ABSTRACT FROM AUTHOR]