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van der Pluijm M, Sutterland AL, van Kuilenburg ABP, Zoetekouw L, de Haan L, Booij J, van de Giessen E. Plasma dopa decarboxylase activity in treatment-resistant recent-onset psychosis patients. Ther Adv Psychopharmacol 2019; 9:2045125319872341. [PMID: 31523419 PMCID: PMC6732859 DOI: 10.1177/2045125319872341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 08/02/2019] [Indexed: 11/16/2022] Open
Abstract
Treatment resistance (TR) in psychosis is a major clinical problem. A biomarker predicting TR against conventional antipsychotic drugs would be relevant, potentially reducing unnecessary delay to adequate treatment with clozapine. Dopa decarboxylase (DDC) activity in the striatum, measured with positron emission tomography, is elevated in responders, but not in treatment-resistant patients. Plasma DDC activity could be a surrogate marker for DDC brain activity, and thus a potential biomarker that could be used in daily clinical practice. Therefore, we determined plasma DDC activity in 40 male patients with recent-onset psychosis, of whom the majority had started treatment, whereby 21 turned out to be treatment responders and 19 treatment resistant during follow up. We observed no significant group differences. Furthermore, symptom severity was not associated with plasma DCC activity. We did observe a trend level difference in the distribution of plasma DDC activity across categories of medication, with subsequent post hoc analysis showing lower DDC activity in risperidone-using patients. This may suggest that risperidone could influence plasma DDC activity. Based on these results, plasma DDC activity does not appear to be a promising biomarker for TR in recent-onset psychosis patients who are already receiving antipsychotic treatment.
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Affiliation(s)
- Marieke van der Pluijm
- Department of Radiology and Nuclear Medicine & Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Arjen L Sutterland
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - André B P van Kuilenburg
- Department of Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Lida Zoetekouw
- Department of Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
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Takeuchi H, Fervaha G, Lee J, Remington G. What symptom domains are associated with patient distress in schizophrenia? Schizophr Res 2016; 176:329-330. [PMID: 27261417 DOI: 10.1016/j.schres.2016.05.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 05/20/2016] [Accepted: 05/23/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Hiroyoshi Takeuchi
- Schizophrenia Division, Complex Mental Illness Program, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
| | - Gagan Fervaha
- Schizophrenia Division, Complex Mental Illness Program, Centre for Addiction and Mental Health, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Jimmy Lee
- Department of General Psychiatry, Institute of Mental Health, Singapore; Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore
| | - Gary Remington
- Schizophrenia Division, Complex Mental Illness Program, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada
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Iasevoli F, Giordano S, Balletta R, Latte G, Formato MV, Prinzivalli E, De Berardis D, Tomasetti C, de Bartolomeis A. Treatment resistant schizophrenia is associated with the worst community functioning among severely-ill highly-disabling psychiatric conditions and is the most relevant predictor of poorer achievements in functional milestones. Prog Neuropsychopharmacol Biol Psychiatry 2016; 65:34-48. [PMID: 26320028 DOI: 10.1016/j.pnpbp.2015.08.010] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 08/18/2015] [Accepted: 08/19/2015] [Indexed: 12/12/2022]
Abstract
The aim of this work was to compare achievements in milestones of community functioning in highly disabling psychiatric conditions, including treatment resistant schizophrenia (TRS), schizophrenia (responsive to antipsychotics), bipolar disorder, and anxiety/depressive diseases. Also, we investigated the predictors of community functioning outcomes across several domains. Among consecutive patients screened, 188 met inclusion criteria and 118 ultimately entered the study. Diagnosis of TRS was made by stringent criteria, including historic and perspective evaluations and excluding potential confounding factors. Achievements in functional milestones of everyday living were recorded. Performances in discrete cognitive tasks were assessed. The Positive and Negative Syndrome Scale, the Personal and Social Performance Scale, the Drug Attitude Inventory-10, and the Quality of Life Enjoyment and Satisfaction Questionnaire were administered. TRS patients showed the highest impairment in community functioning among diagnostic groups. TRS was found to have more severe psychopathology, more impaired cognitive functioning, and poorer psychosocial adjustment compared to all the other groups. In the whole sample, the main predictors of community functioning were the diagnostic group (with TRS diagnosis associated with worst functioning) and achievements in the other functional milestones. In psychotic patients, however, the main predictors of community functioning were clinical and psychopathological variables. These results may support the hypothesis that TRS represents a separate schizophrenia subtype, with its own neurobiology, psychopathology and clinical course. Our results identify a group of modifiable predictors to be addressed to prevent community disability.
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Affiliation(s)
- Felice Iasevoli
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy
| | - Sara Giordano
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy
| | - Raffaele Balletta
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy
| | - Gianmarco Latte
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy
| | - Maria Vittoria Formato
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy
| | - Emiliano Prinzivalli
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy
| | - Domenico De Berardis
- National Health Service, Department of Mental Health ASL Teramo, Psychiatric Service of Diagnosis and Treatment, Hospital "G. Mazzini", Teramo, Italy; Department of Neurosciences and Imaging, University G. D'Annunzio, Chieti, Italy
| | - Carmine Tomasetti
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy; National Health Service, Department of Mental Health ASL Teramo, Psychiatric Service of Diagnosis and Treatment, Hospital "Maria SS dello Splendore", Giulianova, TE, Italy
| | - Andrea de Bartolomeis
- Outpatient Unit on Treatment Resistant Psychosis, Department of Neuroscience, University School of Medicine Federico II, Naples, Italy.
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Heggdal D, Fosse R, Hammer J. Basal Exposure Therapy: A New Approach for Treatment-Resistant Patients with Severe and Composite Mental Disorders. Front Psychiatry 2016; 7:198. [PMID: 28066272 PMCID: PMC5165038 DOI: 10.3389/fpsyt.2016.00198] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Accepted: 11/29/2016] [Indexed: 01/24/2023] Open
Abstract
New treatment approaches are needed for patients with severe and composite mental disorders who are resistant to conventional treatments. Such treatment-resistant patients often have diagnoses of psychotic or bipolar disorders or severe personality disorders and comorbid conditions. In this study, we evaluate basal exposure therapy (BET), a novel ward-integrated psychotherapeutic approach for these patients. Central to BET is the conceptualization of undifferentiated existential fear as basic to the patients' problem, exposure to this fear, and the therapeutic platform complementary external regulation, which integrates and governs the totality of interventions throughout the treatment process. BET is administered at a locked-door ward with 6 patient beds and 13.5 full-time employees, including a psychiatrist and 2 psychologists. Thirty-eight patients who had completed BET were included, all but two being female, mean age 29.9 years. Fourteen patients had a diagnosis of schizophrenia or schizoaffective disorder (F20/25), eight had bipolar disorder or recurrent depressive disorder (F31/33), eight had diagnoses in the F40-48 domain (neurotic, stress-related, and somatoform disorders), five were diagnosed with emotionally unstable personality disorder (F60.3), and three patients had other diagnoses. Twenty of the patients (53%) had more than one ICD-10 diagnosis. Average treatment time in BET was 13 months, ranging from 2 to 72 months. Time-series data show significant improvements in symptoms and functioning from enrollment to discharge, with effect sizes at 0.76 for the Dissociation Experience Scale, 0.93 for the Brief Symptom Inventory, 1.47 for the Avoidance and Action Questionnaire, and 1.42 and 1.56, respectively, for the functioning and symptom subscales of the Global Assessment of Functioning Scale. In addition, the patients used significantly less antiepileptic, antipsychotic, anxiolytic, and antidepressant medications at discharge than at treatment enrollment. Patient improvement across treatment was associated with the following duration of time in BET, the successful completions of the exposure component of BET, positive changes in experiential avoidance as measured with the Acceptance and Action Questionnaire, and high symptom levels and low levels of functioning at treatment start. The findings indicate that BET may be a promising inpatient psychotherapeutic approach for previously treatment-resistant patients with severe and comorbid conditions.
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Affiliation(s)
- Didrik Heggdal
- Division of Mental Health and Addiction, Vestre Viken Hospital Trust , Lier , Norway
| | - Roar Fosse
- Division of Mental Health and Addiction, Vestre Viken Hospital Trust , Lier , Norway
| | - Jan Hammer
- Division of Mental Health and Addiction, Vestre Viken Hospital Trust , Lier , Norway
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