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Fountoulakis KN, Yatham L, Grunze H, Vieta E, Young A, Blier P, Kasper S, Moeller HJ. The International College of Neuro-Psychopharmacology (CINP) Treatment Guidelines for Bipolar Disorder in Adults (CINP-BD-2017), Part 2: Review, Grading of the Evidence, and a Precise Algorithm. Int J Neuropsychopharmacol 2017; 20:121-179. [PMID: 27816941 PMCID: PMC5409012 DOI: 10.1093/ijnp/pyw100] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/29/2016] [Accepted: 11/03/2016] [Indexed: 02/05/2023] Open
Abstract
Background The current paper includes a systematic search of the literature, a detailed presentation of the results, and a grading of treatment options in terms of efficacy and tolerability/safety. Material and Methods The PRISMA method was used in the literature search with the combination of the words 'bipolar,' 'manic,' 'mania,' 'manic depression,' and 'manic depressive' with 'randomized,' and 'algorithms' with 'mania,' 'manic,' 'bipolar,' 'manic-depressive,' or 'manic depression.' Relevant web pages and review articles were also reviewed. Results The current report is based on the analysis of 57 guideline papers and 531 published papers related to RCTs, reviews, posthoc, or meta-analysis papers to March 25, 2016. The specific treatment options for acute mania, mixed episodes, acute bipolar depression, maintenance phase, psychotic and mixed features, anxiety, and rapid cycling were evaluated with regards to efficacy. Existing treatment guidelines were also reviewed. Finally, Tables reflecting efficacy and recommendation levels were created that led to the development of a precise algorithm that still has to prove its feasibility in everyday clinical practice. Conclusions A systematic literature search was conducted on the pharmacological treatment of bipolar disorder to identify all relevant random controlled trials pertaining to all aspects of bipolar disorder and graded the data according to a predetermined method to develop a precise treatment algorithm for management of various phases of bipolar disorder. It is important to note that the some of the recommendations in the treatment algorithm were based on the secondary outcome data from posthoc analyses.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Lakshmi Yatham
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Heinz Grunze
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Eduard Vieta
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Allan Young
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Pierre Blier
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Siegfried Kasper
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
| | - Hans Jurgen Moeller
- 3rd Department of Psychiatry, School of Medicine, Aristotle University, Thessaloniki, Greece; Department of Psychiatry, University of British Columbia, Mood Disorders Centre of Excellence, Djavad Mowafaghian Centre for Brain Health, Canada; Paracelsus Medical University, Salzburg, Austria; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; The Royal Institute of Mental Health Research, Department of Psychiatry, University of Ottawa, Ottawa, Canada; Department of Psychiatry and Psychotherapy, Medical University Vienna, MUV, AKH, Vienna, Austria; Psychiatric Department Ludwig Maximilians University, Munich, Germany
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Zhu B, Ascher-Svanum H, Faries DE, Correll CU, Kane JM. Cost of antipsychotic polypharmacy in the treatment of schizophrenia. BMC Psychiatry 2008; 8:19. [PMID: 18394168 PMCID: PMC2364616 DOI: 10.1186/1471-244x-8-19] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2007] [Accepted: 04/04/2008] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND This study compared the costs of antipsychotic polypharmacy for patients who initiated on 1 of the 3 most commonly prescribed atypical antipsychotics - olanzapine, quetiapine, or risperidone. METHODS Data were drawn from a large, prospective, naturalistic, multi-site, nonrandomized study of treatment for schizophrenia in the United States conducted between July 1997 and September 2003. Participants who were initiated on olanzapine (N = 405), quetiapine (N = 115), or risperidone (N = 276) were followed for 1 year post initiation and compared on: (a) average daily cost of the index antipsychotic while on the index antipsychotic, (b) average daily cost of the coprescribed antipsychotics while on the index antipsychotic, (c) average daily cost of the index antipsychotic and the coprescribed antipsychotics while on the index antipsychotic, (d) total annual cost of antipsychotic medications prescribed in the year following initiation on the index antipsychotic, using propensity score-adjusted bootstrap resampling method. Average daily antipsychotic costs and total annual antipsychotic costs were also estimated using more recent (2004) antipsychotic drug prices. RESULTS During the 1 year following initiation on the index antipsychotic, the total average daily cost of the index antipsychotic was higher for quetiapine ($15.33) than olanzapine ($13.90, p < .05) and risperidone ($11.04, p < .01), although the average daily cost of the index antipsychotic was higher for olanzapine ($10.08) than risperidone ($6.74, p < .01) or quetiapine ($6.63, p < .01). Lower total average daily costs were observed in risperidone than olanzapine or quetiapine. Significantly lower average daily cost of concomitant antipsychotic medications for olanzapine ($3.82) compared to quetiapine ($8.70, p < .01) or risperidone-initiated patients ($4.30, p < .01) contributed to the lower average daily cost of all antipsychotic medication for olanzapine-initiated patients. Each dollar spent on the index antipsychotic was accompanied by spending an additional $1.31 on concomitant antipsychotics for quetiapine compared to $0.64 for risperidone and $0.38 for olanzapine-initiated patients. A separate intent-to-treat analysis of the total annual antipsychotic cost found a significantly higher total annual antipsychotic cost for quetiapine-initiated patients ($5320) compared to olanzapine ($4536, p < .01) or risperidone ($3813, p < .01). CONCLUSION Prevalent antipsychotic polypharmacy adds substantial cost to the treatment of schizophrenia. Comparison of medication costs need to address the costs of all antipsychotics. A better understanding of concomitant antipsychotic costs provides a more accurate portrayal of antipsychotic medication costs in the treatment of schizophrenia.
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Affiliation(s)
- Baojin Zhu
- Eli Lilly and Company, Indianapolis, Indiana, USA.
| | | | | | | | - John M Kane
- The Zucker Hillside Hospital, Glen Oaks, New York, USA
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Ascher-Svanum H, Zhu B, Faries D, Landbloom R, Swartz M, Swanson J. Time to discontinuation of atypical versus typical antipsychotics in the naturalistic treatment of schizophrenia. BMC Psychiatry 2006; 6:8. [PMID: 16504026 PMCID: PMC1402287 DOI: 10.1186/1471-244x-6-8] [Citation(s) in RCA: 85] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2005] [Accepted: 02/21/2006] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There is an ongoing debate over whether atypical antipsychotics are more effective than typical antipsychotics in the treatment of schizophrenia. This naturalistic study compares atypical and typical antipsychotics on time to all-cause medication discontinuation, a recognized index of medication effectiveness in the treatment of schizophrenia. METHODS We used data from a large, 3-year, observational, non-randomized, multisite study of schizophrenia, conducted in the U.S. between 7/1997 and 9/2003. Patients who were initiated on oral atypical antipsychotics (clozapine, olanzapine, risperidone, quetiapine, or ziprasidone) or oral typical antipsychotics (low, medium, or high potency) were compared on time to all-cause medication discontinuation for 1 year following initiation. Treatment group comparisons were based on treatment episodes using 3 statistical approaches (Kaplan-Meier survival analysis, Cox Proportional Hazards regression model, and propensity score-adjusted bootstrap resampling methods). To further assess the robustness of the findings, sensitivity analyses were performed, including the use of (a) only 1 medication episode for each patient, the one with which the patient was treated first, and (b) all medication episodes, including those simultaneously initiated on more than 1 antipsychotic. RESULTS Mean time to all-cause medication discontinuation was longer on atypical (N = 1132, 256.3 days) compared to typical antipsychotics (N = 534, 197.2 days; p < .01), and longer on atypicals compared to typicals of high potency (N = 320, 187.5 days; p < .01), medium potency (N = 140, 213.5 days; p < .01), and low potency (N = 74, 208.7 days; p < .01). Among the atypicals, only clozapine, olanzapine, and risperidone had significantly longer time to all-cause medication discontinuation compared to typicals, regardless of potency level, and compared to haloperidol with prophylactic anticholinergic treatment. When compared to perphenazine, a medium-potency typical antipsychotic, only clozapine and olanzapine had a consistently and significantly longer time to all-cause medication discontinuation. Results were confirmed by sensitivity analyses. CONCLUSION In the usual care of schizophrenia patients, time to medication discontinuation for any cause appears significantly longer for atypical than typical antipsychotics regardless of the typical antipsychotic potency level. Findings were primarily driven by clozapine and olanzapine, and to a lesser extent by risperidone. Furthermore, only clozapine and olanzapine therapy showed consistently and significantly longer treatment duration compared to perphenazine, a medium-potency typical antipsychotic.
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Affiliation(s)
- Haya Ascher-Svanum
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Baojin Zhu
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Douglas Faries
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Ron Landbloom
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Marvin Swartz
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA
| | - Jeff Swanson
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA
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