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Raju Sagiraju HK, Wang CP, Amuan ME, Van Cott AC, Altalib HH, Pugh MJV. Antiepileptic drugs and suicide-related behavior: Is it the drug or comorbidity? Neurol Clin Pract 2018; 8:331-339. [PMID: 30140585 DOI: 10.1212/cpj.0000000000000489] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 04/11/2018] [Indexed: 11/15/2022]
Abstract
Background We sought to compare trends of suicide-related behavior (SRB) before and after initiation of antiepileptic drug (AED) therapy among AED users (with and without epilepsy) to that of individuals without AED use controlling for sociodemographic characteristics and mental health comorbidity. Methods We used national Veterans Health Administration (VHA) data for post-9/11 veterans who received VHA care (2013-2014) without prior AED use. We conducted generalized estimation equation (GEE) analyses, stratified by epilepsy status and type of AED received, to assess the trend of SRB prevalence the year prior to and after the index date (date of first AED prescription/date of first health care encounter for non-AED users) controlling for sociodemographic factors and mental health comorbidity. Results The GEE analysis showed significant curvilinear trends of SRB prevalence over the 24-month study period among the AED users, indicating that the probability of SRB diagnoses increased over time with a peak before the index month and decreased thereafter. Similar patterns were observed among non-AED users, but significantly lower odds for SRB. Among AED users, there were no significant differences by epilepsy status; however, higher SRB prevalence and differential SRB trajectory measures were observed among those who received AEDs with mood-stabilizing action. Conclusions The peak of SRB prior to and rapid reduction in SRB after initiation of AED, and the finding that individuals eventually prescribed a mood-stabilizing AED (vs other AED or levetiracetam) had higher odds of SRB, suggests a strong possibility that the relationship of AED and SRB is one of residual confounding.
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Affiliation(s)
- Hari K Raju Sagiraju
- South Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center
| | - Chen-Pin Wang
- South Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center
| | - Megan E Amuan
- South Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center
| | - Anne C Van Cott
- South Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center
| | - Hamada H Altalib
- South Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center
| | - Mary Jo V Pugh
- South Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center
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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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