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Nunez NA, Joseph B, Kumar R, Douka I, Miola A, Prokop LJ, Mickey BJ, Singh B. An Update on the Efficacy of Single and Serial Intravenous Ketamine Infusions and Esketamine for Bipolar Depression: A Systematic Review and Meta-Analysis. Brain Sci 2023; 13:1672. [PMID: 38137120 PMCID: PMC10741553 DOI: 10.3390/brainsci13121672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/24/2023] Open
Abstract
Ketamine has shown rapid antidepressant and anti-suicidal effects in treatment-resistant depression (TRD) with single and serial intravenous (IV) infusions, but the effectiveness for depressive episodes of bipolar disorder is less clear. We conducted an updated systematic review and meta-analysis to appraise the current evidence on the efficacy and tolerability of ketamine/esketamine in bipolar depression. A search was conducted to identify randomized controlled trials (RCTs) and non-randomized studies examining single or multiple infusions of ketamine or esketamine treatments. A total of 2657 articles were screened; 11 studies were included in the systematic review of which 7 studies were included in the meta-analysis (five non-randomized, N = 159; two RCTs, N = 33) with a mean age of 42.58 ± 13.1 years and 54.5% females. Pooled analysis from two RCTs showed a significant improvement in depression symptoms measured with MADRS after receiving a single infusion of ketamine (1-day WMD = -11.07; and 2 days WMD = -12.03). Non-randomized studies showed significant response (53%, p < 0.001) and remission rates (38%, p < 0.001) at the study endpoint. The response (54% vs. 55%) and remission (30% vs. 40%) rates for single versus serial ketamine infusion studies were similar. The affective switch rate in the included studies approximated 2.4%. Esketamine data for bipolar depression are limited, based on non-randomized, small sample-sized studies. Further studies with larger sample sizes are required to strengthen the evidence.
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Affiliation(s)
- Nicolas A. Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; (N.A.N.)
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84112, USA
| | - Boney Joseph
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Rakesh Kumar
- Department of Psychiatry & Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; (N.A.N.)
| | - Ioanna Douka
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84112, USA
| | - Alessandro Miola
- Department of Psychiatry & Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; (N.A.N.)
- Department of Neuroscience (DNS), University of Padova, 35122 Padua, Italy
| | - Larry J. Prokop
- Mayo Medical Libraries, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Brian J. Mickey
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84112, USA
| | - Balwinder Singh
- Department of Psychiatry & Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; (N.A.N.)
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Nikolaidis A, Paksarian D, Alexander L, Derosa J, Dunn J, Nielson DM, Droney I, Kang M, Douka I, Bromet E, Milham M, Stringaris A, Merikangas KR. The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic. Sci Rep 2021; 11:8139. [PMID: 33854103 PMCID: PMC8046981 DOI: 10.1038/s41598-021-87270-3] [Citation(s) in RCA: 132] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 03/24/2021] [Indexed: 02/02/2023] Open
Abstract
The COVID-19 pandemic and its social and economic consequences have had adverse impacts on physical and mental health worldwide and exposed all segments of the population to protracted uncertainty and daily disruptions. The CoRonavIruS health and Impact Survey (CRISIS) was developed for use as an easy to implement and robust questionnaire covering key domains relevant to mental distress and resilience during the pandemic. Ongoing studies using CRISIS include international studies of COVID-related ill health conducted during different phases of the pandemic and follow-up studies of cohorts characterized before the COVID pandemic. In the current work, we demonstrate the feasibility, psychometric structure, and construct validity of this survey. We then show that pre-existing mood states, perceived COVID risk, and lifestyle changes are strongly associated with negative mood states during the pandemic in population samples of adults and in parents reporting on their children in the US and UK. These findings are highly reproducible and we find a high degree of consistency in the power of these factors to predict mental health during the pandemic.
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Affiliation(s)
- Aki Nikolaidis
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, The Child Mind Institute, New York, NY USA
| | - Diana Paksarian
- grid.416868.50000 0004 0464 0574Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD USA
| | - Lindsay Alexander
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, The Child Mind Institute, New York, NY USA
| | - Jacob Derosa
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, The Child Mind Institute, New York, NY USA
| | - Julia Dunn
- grid.416868.50000 0004 0464 0574Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD USA
| | - Dylan M. Nielson
- grid.94365.3d0000 0001 2297 5165Section On Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Irene Droney
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, The Child Mind Institute, New York, NY USA
| | - Minji Kang
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, The Child Mind Institute, New York, NY USA
| | - Ioanna Douka
- grid.94365.3d0000 0001 2297 5165Section On Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Evelyn Bromet
- grid.36425.360000 0001 2216 9681Department of Psychiatry, Renaissance School of Medicine at Stony, Brook University, Stony Brook, NY USA
| | - Michael Milham
- grid.428122.f0000 0004 7592 9033Center for the Developing Brain, The Child Mind Institute, New York, NY USA ,grid.250263.00000 0001 2189 4777Nathan Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Argyris Stringaris
- grid.94365.3d0000 0001 2297 5165Section On Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Kathleen R. Merikangas
- grid.416868.50000 0004 0464 0574Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
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Nielson DM, Keren H, O'Callaghan G, Jackson SM, Douka I, Vidal-Ribas P, Pornpattananangkul N, Camp CC, Gorham LS, Wei C, Kirwan S, Zheng CY, Stringaris A. Great Expectations: A Critical Review of and Suggestions for the Study of Reward Processing as a Cause and Predictor of Depression. Biol Psychiatry 2021; 89:134-143. [PMID: 32797941 PMCID: PMC10726343 DOI: 10.1016/j.biopsych.2020.06.012] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/20/2020] [Accepted: 06/10/2020] [Indexed: 10/24/2022]
Abstract
Both human and animal studies support the relationship between depression and reward processing abnormalities, giving rise to the expectation that neural signals of these processes may serve as biomarkers or mechanistic treatment targets. Given the great promise of this research line, we scrutinized those findings and the theoretical claims that underlie them. To achieve this, we applied the framework provided by classical work on causality as well as contemporary approaches to prediction. We identified a number of conceptual, practical, and analytical challenges to this line of research and used a preregistered meta-analysis to quantify the longitudinal associations between reward processing abnormalities and depression. We also investigated the impact of measurement error on reported data. We found that reward processing abnormalities do not reach levels that would be useful for clinical prediction, yet the available evidence does not preclude a possible causal role in depression.
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Affiliation(s)
- Dylan M Nielson
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Hanna Keren
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Georgia O'Callaghan
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Sarah M Jackson
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Ioanna Douka
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Pablo Vidal-Ribas
- Social and Behavioral Science Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | | | - Christopher C Camp
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Lisa S Gorham
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Christine Wei
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Stuart Kirwan
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Charles Y Zheng
- Machine Learning Team, Functional Magnetic Resonance Imaging Facility, National Institutes of Health, Bethesda, Maryland
| | - Argyris Stringaris
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
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Nikolaidis A, Paksarian D, Alexander L, Derosa J, Dunn J, Nielson DM, Droney I, Kang M, Douka I, Bromet E, Milham M, Stringaris A, Merikangas KR. The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic. medRxiv 2020:2020.08.24.20181123. [PMID: 32869041 PMCID: PMC7457620 DOI: 10.1101/2020.08.24.20181123] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The COVID-19 pandemic and its social and economic consequences have had adverse impacts on physical and mental health worldwide and exposed all segments of the population to protracted uncertainty and daily disruptions. The CoRonavIruS health and Impact Survey (CRISIS) was developed for use as an easy to implement and robust questionnaire covering key domains relevant to mental distress and resilience during the pandemic. In the current work, we demonstrate the feasibility, psychometric structure and construct validity of this survey. We then show that pre-existing mood states, perceived COVID risk, and lifestyle changes are strongly associated with negative mood states during the pandemic in population samples of adults and in parents reporting on their children in the US and UK. Ongoing studies using CRISIS include international studies of COVID-related ill health conducted during different phases of the pandemic and follow-up studies of cohorts characterized before the COVID pandemic.
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Affiliation(s)
- Aki Nikolaidis
- Center for the Developing Brain, The Child Mind Institute, New York, NY
| | - Diana Paksarian
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD
| | - Lindsay Alexander
- Center for the Developing Brain, The Child Mind Institute, New York, NY
| | - Jacob Derosa
- Center for the Developing Brain, The Child Mind Institute, New York, NY
| | - Julia Dunn
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD
| | - Dylan M Nielson
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Irene Droney
- Center for the Developing Brain, The Child Mind Institute, New York, NY
| | - Minji Kang
- Center for the Developing Brain, The Child Mind Institute, New York, NY
| | - Ioanna Douka
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Evelyn Bromet
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University
| | - Michael Milham
- Center for the Developing Brain, The Child Mind Institute, New York, NY
- Nathan Kline Institute for Psychiatric Research
| | - Argyris Stringaris
- Section on Clinical and Computational Psychiatry (CompΨ), National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD
- Johns Hopkins Bloomberg School of Public Health
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5
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Bakoyiannis I, Cherdyntseva V, Aivalioti M, Barton M, Coda D, Douka I, Evangelou A, Evangelou C, Ioannou P, Kanta V, Kapanidis K, Karagiannidis I, Kokkinidis D, Kouni S, Lehnen J, Patsalos A, Pei J, Petropoulou PI, Rodemer W, Scerbo D, Stefa A, Tsvetkov E, Vasilikos L, Vasilopoulos T, Vukojicic A, Zafeiropoulou E. Great need for changes in higher education in Greece. Clin Chem Lab Med 2017; 55:e238-e239. [PMID: 28426430 DOI: 10.1515/cclm-2017-0188] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 03/07/2017] [Indexed: 11/15/2022]
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