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Kong L, Wang H, Yan N, Xu C, Chen Y, Zeng Y, Guo X, Lu J, Hu S. Effect of antipsychotics and mood stabilisers on metabolism in bipolar disorder: a network meta-analysis of randomised-controlled trials. EClinicalMedicine 2024; 71:102581. [PMID: 38618207 PMCID: PMC11015341 DOI: 10.1016/j.eclinm.2024.102581] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/17/2024] [Accepted: 03/19/2024] [Indexed: 04/16/2024] Open
Abstract
Background Antipsychotics and mood stabilisers are gathering attention for the disturbance of metabolism. This network meta-analysis aims to evaluate and rank the metabolic effects of the commonly used antipsychotics and mood stabilisers in treating bipolar disorder (BD). Methods Registries including PubMed, Embase, Cochrane Library, Web of Science, Ovid, and Google Scholar were searched before February 15th, 2024, for randomised controlled trials (RCTs) applying antipsychotics or mood stabilisers for BD treatment. The observed outcomes were twelve metabolic indicators. The data were extracted by two reviewers independently, and confirmed by another four reviewers and a corresponding author. The above six reviewers all participated in data analyses. Data extraction was based on PRISMA guidelines, and quality assessment was conducted according to the Cochrane Handbook. Use a random effects model for data pooling. The PROSPERO registration number is CRD42023466669. Findings Together, 5421 records were identified, and 41 publications with 11,678 complete-trial participants were confirmed eligible. After eliminating possible sensitivity, risperidone ranked 1st in elevating fasting serum glucose (SUCRA = 90.7%) and serum insulin (SUCRA = 96.6%). Lurasidone was most likely to elevate HbA1c (SUCRA = 82.1%). Olanzapine ranked 1st in elevating serum TC (SUCRA = 93.3%), TG (SUCRA = 89.6%), and LDL (SUCRA = 94.7%). Lamotrigine ranked 1st in reducing HDL (SUCRA = 82.6%). Amisulpride ranked 1st in elevating body weight (SUCRA = 100.0%). For subgroup analyses, quetiapine is more likely to affect indicators of glucose metabolism among male adult patients with bipolar mania, while long-term lurasidone tended to affect glucose metabolism among female patients with bipolar depression. Among patients under 18, divalproex tended to affect glucose metabolism, with lithium affecting lipid metabolism. In addition, most observed antipsychotics performed higher response and remission rates than placebo, and displayed a similar dropout rate with placebo, while no between-group significance of rate was observed among mood stabilisers. Interpretation Our findings suggest that overall, antipsychotics are effective in treating BD, while they are also more likely to disturb metabolism than mood stabilisers. Attention should be paid to individual applicability in clinical practice. The results put forward evidence-based information and clinical inspiration for drug compatibility and further research of the BD mechanism. Funding The National Key Research and Development Program of China (2023YFC2506200), and the Research Project of Jinan Microecological Biomedicine Shandong Laboratory (No. JNL-2023001B).
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Affiliation(s)
- Lingzhuo Kong
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Huaizhi Wang
- School of Psychiatry, Wenzhou Medical University, Wenzhou, 325000, China
| | - Ning Yan
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
- Shanghai Jing ‘an District Mental Health Centre, Shanghai, 200040, China
| | - Chenyue Xu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yiqing Chen
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yuanyuan Zeng
- Hangzhou Medical College, School of Clinical Medicine, Hangzhou, 310003, China
| | - Xiaonan Guo
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jing Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
- Zhejiang Key Laboratory of Precision Psychiatry, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Centre for Mathematical Mental Health, Hangzhou, 310003, China
- MOE Frontier Science Centre for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou, 310003, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
- School of Psychiatry, Wenzhou Medical University, Wenzhou, 325000, China
- Zhejiang Key Laboratory of Precision Psychiatry, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Centre for Mathematical Mental Health, Hangzhou, 310003, China
- MOE Frontier Science Centre for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou, 310003, China
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310003, China
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Possidente C, Fanelli G, Serretti A, Fabbri C. Clinical insights into the cross-link between mood disorders and type 2 diabetes: A review of longitudinal studies and Mendelian randomisation analyses. Neurosci Biobehav Rev 2023; 152:105298. [PMID: 37391112 DOI: 10.1016/j.neubiorev.2023.105298] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/15/2023] [Accepted: 06/26/2023] [Indexed: 07/02/2023]
Abstract
Mood disorders and type 2 diabetes mellitus (T2DM) are prevalent conditions that often co-occur. We reviewed the available evidence from longitudinal and Mendelian randomisation (MR) studies on the relationship between major depressive disorder (MDD), bipolar disorder and T2DM. The clinical implications of this comorbidity on the course of either condition and the impact of antidepressants, mood stabilisers, and antidiabetic drugs were examined. Consistent evidence indicates a bidirectional association between mood disorders and T2DM. T2DM leads to more severe depression, whereas depression is associated with more complications and higher mortality in T2DM. MR studies demonstrated a causal effect of MDD on T2DM in Europeans, while a suggestive causal association in the opposite direction was found in East Asians. Antidepressants, but not lithium, were associated with a higher T2DM risk in the long-term, but confounders cannot be excluded. Some oral antidiabetics, such as pioglitazone and liraglutide, may be effective on depressive and cognitive symptoms. Studies in multi-ethnic populations, with a more careful assessment of confounders and appropriate power, would be important.
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Affiliation(s)
- Chiara Possidente
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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3
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Ratheesh A, Hett D, Ramain J, Wong E, Berk L, Conus P, Fristad MA, Goldstein T, Hillegers M, Jauhar S, Kessing LV, Miklowitz DJ, Murray G, Scott J, Tohen M, Yatham LN, Young AH, Berk M, Marwaha S. A systematic review of interventions in the early course of bipolar disorder I or II: a report of the International Society for Bipolar Disorders Taskforce on early intervention. Int J Bipolar Disord 2023; 11:1. [PMID: 36595095 PMCID: PMC9810772 DOI: 10.1186/s40345-022-00275-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/14/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Given the likelihood of progressive illness in bipolar disorder (BD), it is important to understand the benefits and risks of interventions administered early in illness course. We conducted a systematic review of the effectiveness of interventions in the early course of BD I or II. METHODS We completed a systematic search on MEDLINE, PsycINFO, EMBASE, the Cochrane Central Register of Controlled Trials, CINAHL and Google Scholar from 1/1/1979 till 14/9/2022. We included controlled trials examining intervention effects on symptomatic, course, functional and tolerability outcomes of patients in the 'early course' of BD I or II. We classified patients to be in early course if they (a) were seeking help for the first time for a manic episode, (b) had a lifetime history of up to 3 manic episodes, or (c) had up to 6 lifetime mood episodes. Evidence quality was assessed using the GRADE approach. RESULTS From 4135 unique publications we included 25 reports representing 2212 participants in 16 randomized studies, and 17,714 participants from nine non-randomized studies. Available evidence suggested that in early illness course, lithium use was associated with lower recurrence risk compared with other mood stabilizers. Mood stabilizers were also associated with better global functioning, compared with the use of antipsychotics in the medium term. While summative findings regarding psychological therapies were limited by heterogeneity, family-focused and cognitive-behavioral interventions were associated with reduced recurrence risk or improved symptomatic outcomes. There was some evidence that the same pharmacological interventions were more efficacious in preventing recurrences when utilized in earlier rather than later illness course. CONCLUSIONS AND RECOMMENDATIONS While there are promising initial findings, there is a need for more adequately powered trials to examine the efficacy and tolerability of interventions in youth and adults in early illness course. Specifically, there is a compelling need to compare the relative benefits of lithium with other pharmacological agents in preventing recurrences. In addition to symptomatic outcomes, there should be a greater focus on functional impact and tolerability. Effective pharmacological and psychological interventions should be offered to those in early course of BD, balancing potential risks using shared decision-making approaches.
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Affiliation(s)
- A. Ratheesh
- grid.488501.00000 0004 8032 6923Orygen, 35 Poplar Road, Parkville, VIC Australia ,grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - D. Hett
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,Birmingham and Solihull Mental Health NHS Trust, Birmingham, UK
| | - J. Ramain
- grid.8515.90000 0001 0423 4662TIPP Program, Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - E. Wong
- grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - L. Berk
- grid.414257.10000 0004 0540 0062IMPACT-The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia
| | - P. Conus
- grid.8515.90000 0001 0423 4662TIPP Program, Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - M. A. Fristad
- grid.261331.40000 0001 2285 7943Nationwide Children’s Hospital, The Ohio State University, Columbus, USA
| | - T. Goldstein
- grid.21925.3d0000 0004 1936 9000Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - M. Hillegers
- grid.5645.2000000040459992XDepartment of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - S. Jauhar
- grid.13097.3c0000 0001 2322 6764Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.415717.10000 0001 2324 5535South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, BR3 3BX UK
| | - L. V. Kessing
- grid.475435.4Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - D. J. Miklowitz
- grid.19006.3e0000 0000 9632 6718Semel Institute for Neuroscience and Human Behavior, Los Angeles School of Medicine, University of California, Los Angeles, USA
| | - G. Murray
- grid.1027.40000 0004 0409 2862Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
| | - J. Scott
- grid.1006.70000 0001 0462 7212Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
| | - M. Tohen
- grid.266832.b0000 0001 2188 8502Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM USA
| | - L. N. Yatham
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - A. H. Young
- grid.13097.3c0000 0001 2322 6764Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.415717.10000 0001 2324 5535South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, BR3 3BX UK
| | - M. Berk
- grid.414257.10000 0004 0540 0062IMPACT-The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia
| | - S. Marwaha
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,Birmingham and Solihull Mental Health NHS Trust, Birmingham, UK
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Hsu TW, Thompson T, Solmi M, Vieta E, Yang FC, Tseng PT, Hsu CW, Tu YK, Yu CL, Tsai CK, Liang CS, Carvalho AF. Variability and efficacy in treatment effects on manic symptoms with lithium, anticonvulsants, and antipsychotics in acute bipolar mania: A systematic review and meta-analysis. EClinicalMedicine 2022; 54:101690. [PMID: 36247926 PMCID: PMC9561727 DOI: 10.1016/j.eclinm.2022.101690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Acute mania is a psychiatric emergency requiring rapid management. However, randomised controlled trials (RCTs) have shown considerable individual differences in treatment effects on manic symptoms with antimanic drugs. METHODS We searched the MEDLINE, CENTRAL, EMBASE, PsycINFO, and ClinicalTrials.gov to identify RCTs without language restrictions from inception to April 19, 2022. We included double-blind RCTs of oral antimanic monotherapy versus placebo in adult patients. The primary outcome was variability in improvement of manic symptoms (assessed using the coefficient of variation ratio [CVR]). The secondary outcomes were overall improvement of manic symptoms and acceptability (i.e., discontinuation for any reason). The pooled effects of outcomes were calculated by random-effects meta-analyses using restricted maximum likelihood methods. The quality of the included studies was assessed using the Cochrane Risk of Bias (ROB) Assessment Tool. This study was registered with OSF (DOI:10.17605/OSF.IO/G4JNY). FINDINGS We included 39 RCTs (N=12150; mean age=39·9 years, interquartile range [IQR]=38·7-41·1; mean proportion of female=48·6%, IQR=42·3%-52·3%) and investigated 14 antimanic drugs. We found that eight antimanic drugs compared to placebo were associated with lower CVRs (95% confidence interval [CI]; I2), including risperidone (0·51; 0·37-0·70; 0%), haloperidol (0·54; 0·44-0·67; 4%), olanzapine (0·59; 0·44-0·79; 47%), ziprasidone (0·61; 0·53-0·71; 0%), lithium (0·63; 0·52-0·76; 0%), quetiapine (0·65; 0·48-0·87; 2%), aripiprazole (0·68; 0·56-0·84; 25%), and cariprazine (0·70; 0·49-0·99; 28%). There were nine antimanic drugs associated with greater efficacy than placebo, including risperidone (reported as standardised mean difference; 95% CI; I2: 0·64; 0·31-0·97; 15%), haloperidol (0·57; 0·29-0·85; 64%), cariprazine (0·51; 0·24-0·78; 0%), olanzapine (0·44; 0·30-0·58; 0%), lithium (0·42; 0·29-0·55; 0%), ziprasidone (0·42; 0·26-0·58; 0%), quetiapine (0·40; 0·13-0·67; 0%), asenapine (0·40; 0·13-0·67; 0%), and aripiprazole (0·32; 0·14-0·49; 53%). Ziprasidone (reported as risk ratio; 95% CI; I2: 0·83; 0·79-0·89; 0%) and olanzapine (0·63; 0·49-0·80; 35%) were associated with better acceptability relative to placebo. Among the 39 RCTs, none had a high ROB. INTERPRETATION We demonstrated that eight antimanic drugs were associated with lower variability and better efficacy than placebo, suggesting that these antimanic drugs were associated with more homogenous and predictable improvements of manic symptoms in patients with acute mania. FUNDING The study was supported by from the Ministry of Science and Technology (MOST-110-2314-B-016-035, MOST-111-2314-B-016-054), Medical Affairs Bureau (MND-MAB-D-111102), and Tri-service General Hospital (TSGH-E-111229).
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Affiliation(s)
- Tien-Wei Hsu
- Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Trevor Thompson
- Centre for Chronic Illness and Ageing, University of Greenwich, London, UK
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Mental Health, The Ottawa Hospital, Ottawa, ON K1H 8L6, Canada
- Clinical Epidemiology Programme, Ottawa Hospital Research Institute (OHRI), University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; Hospital Clinic, Institute of Neuroscience, Universityof Barcelona, IDIBAPS, Barcelona, Spain
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defence Medical Centre, Taipei, Taiwan
| | - Ping-Tao Tseng
- Prospect Clinic for Otorhinolaryngology & Neurology, Kaohsiung City, Taiwan
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan
- Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Chih-Wei Hsu
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yu-Kang Tu
- Institute of Epidemiology & Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chia-Ling Yu
- Department of Pharmacy, Chang-Gung Memorial Hospital, Linkou, Taiwan
| | - Chia-Kuang Tsai
- Department of Neurology, Tri-Service General Hospital, National Defence Medical Centre, Taipei, Taiwan
- Corresponding author at: Department of Neurology, Tri-Service General Hospital, National Defence Medical Centre, No.325, Section 2, Cheng-Kung Road, Neihu District, Taipei City 114, Taiwan.
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defence Medical Centre, Taipei, Taiwan
- Department of Psychiatry, National Defence Medical Centre, Taipei, Taiwan
- Corresponding author at: Department of Psychiatry, No. 60, Xinmin Road, Beitou District, Taipei 11243, Taiwan.
| | - Andre F. Carvalho
- IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
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5
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Cearns M, Amare AT, Schubert KO, Thalamuthu A, Frank J, Streit F, Adli M, Akula N, Akiyama K, Ardau R, Arias B, Aubry JM, Backlund L, Bhattacharjee AK, Bellivier F, Benabarre A, Bengesser S, Biernacka JM, Birner A, Brichant-Petitjean C, Cervantes P, Chen HC, Chillotti C, Cichon S, Cruceanu C, Czerski PM, Dalkner N, Dayer A, Degenhardt F, Zompo MD, DePaulo JR, Étain B, Falkai P, Forstner AJ, Frisen L, Frye MA, Fullerton JM, Gard S, Garnham JS, Goes FS, Grigoroiu-Serbanescu M, Grof P, Hashimoto R, Hauser J, Heilbronner U, Herms S, Hoffmann P, Hofmann A, Hou L, Hsu YH, Jamain S, Jiménez E, Kahn JP, Kassem L, Kuo PH, Kato T, Kelsoe J, Kittel-Schneider S, Kliwicki S, König B, Kusumi I, Laje G, Landén M, Lavebratt C, Leboyer M, Leckband SG, Maj M, Manchia M, Martinsson L, McCarthy MJ, McElroy S, Colom F, Mitjans M, Mondimore FM, Monteleone P, Nievergelt CM, Nöthen MM, Novák T, O'Donovan C, Ozaki N, Millischer V, Papiol S, Pfennig A, Pisanu C, Potash JB, Reif A, Reininghaus E, Rouleau GA, Rybakowski JK, Schalling M, Schofield PR, Schweizer BW, Severino G, Shekhtman T, Shilling PD, Shimoda K, Simhandl C, Slaney CM, Squassina A, Stamm T, Stopkova P, Tekola-Ayele F, Tortorella A, Turecki G, Veeh J, Vieta E, Witt SH, Roberts G, Zandi PP, Alda M, Bauer M, McMahon FJ, Mitchell PB, Schulze TG, Rietschel M, Clark SR, Baune BT. Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach. Br J Psychiatry 2022; 220:1-10. [PMID: 35225756 DOI: 10.1192/bjp.2022.28] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment. AIMS To use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder. METHOD This study utilised genetic and clinical data (n = 1034) collected as part of the International Consortium on Lithium Genetics (ConLi+Gen) project. Polygenic risk scores (PRS) were computed for schizophrenia and major depressive disorder, and then combined with clinical variables using a cross-validated machine-learning regression approach. Unimodal, multimodal and genetically stratified models were trained and validated using ridge, elastic net and random forest regression on 692 patients with bipolar disorder from ten study sites using leave-site-out cross-validation. All models were then tested on an independent test set of 342 patients. The best performing models were then tested in a classification framework. RESULTS The best performing linear model explained 5.1% (P = 0.0001) of variance in lithium response and was composed of clinical variables, PRS variables and interaction terms between them. The best performing non-linear model used only clinical variables and explained 8.1% (P = 0.0001) of variance in lithium response. A priori genomic stratification improved non-linear model performance to 13.7% (P = 0.0001) and improved the binary classification of lithium response. This model stratified patients based on their meta-polygenic loadings for major depressive disorder and schizophrenia and was then trained using clinical data. CONCLUSIONS Using PRS to first stratify patients genetically and then train machine-learning models with clinical predictors led to large improvements in lithium response prediction. When used with other PRS and biological markers in the future this approach may help inform which patients are most likely to respond to lithium treatment.
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Affiliation(s)
- Micah Cearns
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Australia
| | - Azmeraw T Amare
- South Australian Academic Health Science and Translation Centre, South Australian Health and Medical Research Institute (SAHMRI), Australia and Program for Quantitative Genomics, Harvard School of Public Health, USA
| | - Klaus Oliver Schubert
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Australia and Northern Adelaide Local Health Network, Mental Health Services, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Australia
| | - Joseph Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Mazda Adli
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Germany
| | - Nirmala Akula
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, USA
| | - Kazufumi Akiyama
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, Japan
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, Hospital University Agency of Cagliari, Italy
| | - Bárbara Arias
- Unitat de Zoologia i Antropologia Biològica (Dpt. Biologia Evolutiva, Ecologia i Ciències Ambientals), Facultat de Biologia and Institut de Biomedicina (IBUB), University of Barcelona, CIBERSAM, Spain
| | - Jean-Michel Aubry
- Department of Psychiatry, Mood Disorders Unit, HUG - Geneva University Hospitals, Switzerland
| | - Lena Backlund
- Department of Molecular Medicine and Surgery, Karolinska Institute, Sweden and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | | | - Frank Bellivier
- INSERM UMR-S 1144, Université Paris Diderot, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-F.Widal, France
| | - Antonio Benabarre
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Spain
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Austria
| | - Joanna M Biernacka
- Department of Health Sciences Research, Mayo Clinic, USA and Department of Psychiatry and Psychology, Mayo Clinic, USA
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Austria
| | - Clara Brichant-Petitjean
- INSERM UMR-S 1144, Université Paris Diderot, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-F.Widal, France
| | - Pablo Cervantes
- The Neuromodulation Unit, McGill University Health Centre, Canada
| | - Hsi-Chung Chen
- Department of Psychiatry & Center of Sleep Disorders, National Taiwan University Hospital, Taiwan
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, Hospital University Agency of Cagliari, Italy
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany; and Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Switzerland
| | | | - Piotr M Czerski
- Psychiatric Genetic Unit, Poznan University of Medical Sciences, Poland
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Austria
| | - Alexandre Dayer
- Department of Psychiatry, Mood Disorders Unit, HUG - Geneva University Hospitals, Switzerland
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany
| | - Maria Del Zompo
- Department of Biomedical Sciences, University of Cagliari, Italy
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, USA
| | - Bruno Étain
- INSERM UMR-S 1144, Université Paris Diderot, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-F.Widal, France
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany; Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Switzerland and Department of Psychiatry (UPK), University of Basel, Switzerland
| | - Louise Frisen
- Department of Molecular Medicine and Surgery, Karolinska Institute, Sweden and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Mark A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Australia and School of Medical Sciences, University of New South Wales, Australia
| | | | | | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, USA
| | | | - Paul Grof
- Mood Disorders Center of Ottawa, Canada
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Japan and Department of Psychiatry, Osaka University Graduate School of Medicine, Japan
| | - Joanna Hauser
- Psychiatric Genetic Unit, Poznan University of Medical Sciences, Poland
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Germany and Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University Göttingen, Germany
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany and Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany and Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Switzerland
| | - Andrea Hofmann
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany
| | - Liping Hou
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, USA
| | - Yi-Hsiang Hsu
- Program for Quantitative Genomics, Harvard School of Public Health, USA and HSL Institute for Aging Research, Harvard Medical School, USA
| | - Stephane Jamain
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, France
| | - Esther Jiménez
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Spain
| | - Jean-Pierre Kahn
- Service de Psychiatrie et Psychologie Clinique, Centre Psychothérapique de Nancy - Université de Lorraine, France
| | - Layla Kassem
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, USA
| | - Po-Hsiu Kuo
- Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taiwan
| | - Tadafumi Kato
- Department of Psychiatry & Behavioral Science, Juntendo University, Graduate School of Medicine, Japan
| | - John Kelsoe
- Department of Psychiatry, University of California San Diego, USA
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Germany
| | - Sebastian Kliwicki
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poland
| | - Barbara König
- Department of Psychiatry and Psychotherapeutic Medicine, Landesklinikum Neunkirchen, Austria
| | - Ichiro Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Japan
| | - Gonzalo Laje
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, USA
| | - Mikael Landén
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the Gothenburg University, Sweden and Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institute, Sweden and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, AP-HP, Mondor University Hospital, DMU Impact, Fondation FondaMental, France
| | | | - Mario Maj
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Italy; ,for a full list of Major Depressive Disorder Working Group of the PGC Investigators, see the Supplementary Material
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Italy and Department of Pharmacology, Dalhousie University, Canada
| | - Lina Martinsson
- Department of Clinical Neurosciences, Karolinska Institutet, Sweden
| | - Michael J McCarthy
- Department of Psychiatry, University of California San Diego, USA and Department of Psychiatry, VA San Diego Healthcare System, USA
| | - Susan McElroy
- Department of Psychiatry, Lindner Center of Hope / University of Cincinnati, USA
| | - Francesc Colom
- Mental Health Research Group, IMIM-Hospital del Mar, Spain and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
| | - Marina Mitjans
- Mental Health Research Group, IMIM-Hospital del Mar, Spain and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
| | - Francis M Mondimore
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, USA
| | - Palmiero Monteleone
- Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Italy
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Germany
| | - Tomas Novák
- National Institute of Mental Health, Czech Republic
| | | | - Norio Ozaki
- Department of Psychiatry & Department of Child and Adolescent Psychiatry, Nagoya University Graduate School of Medicine, Japan
| | - Vincent Millischer
- Department of Molecular Medicine and Surgery, Karolinska Institute, Sweden and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden and Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Germany and Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Germany
| | - Claudia Pisanu
- Department of Biomedical Sciences, University of Cagliari, Italy
| | - James B Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, USA
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Germany
| | - Eva Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Austria
| | - Guy A Rouleau
- Montreal Neurological Institute and Hospital, McGill University, Canada
| | - Janusz K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poland
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institute, Sweden and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Peter R Schofield
- Neuroscience Research Australia, Australia and School of Medical Sciences, University of New South Wales, Australia
| | - Barbara W Schweizer
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, USA
| | | | | | - Paul D Shilling
- Department of Psychiatry, University of California San Diego, USA
| | - Katzutaka Shimoda
- Department of Psychiatry, Dokkyo Medical University School of Medicine, Japan
| | - Christian Simhandl
- Bipolar Center Wiener Neustadt, Sigmund Freud University, Medical Faculty, Austria
| | | | | | - Thomas Stamm
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Germany
| | | | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, USA
| | | | - Gustavo Turecki
- Douglas Mental Health University Institute, McGill University, Canada
| | - Julia Veeh
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Germany
| | - Eduard Vieta
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Spain
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Australia
| | - Peter P Zandi
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, USA
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Canada
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Germany
| | - Francis J McMahon
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, USA
| | | | - Thomas G Schulze
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany; Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, USA, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, USA; Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Germany and Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University Göttingen, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Scott R Clark
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Australia
| | - Bernhard T Baune
- Department of Psychiatry and Psychotherapy, University of Münster, Germany; Department of Psychiatry, Melbourne Medical School, University of Melbourne, Australia and The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Australia
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Azim L, Hindmarch P, Browne G, Chadwick T, Clare E, Courtney P, Dixon L, Duffelen N, Fouweather T, Geddes JR, Goudie N, Harvey S, Helter T, Holstein EM, Martin G, Mawson P, McCaffery J, Morriss R, Simon J, Smith D, Stokes PRA, Walker J, Weetman C, Wolstenhulme F, Young AH, Watson S, McAllister-Williams RH. Study protocol for a randomised placebo-controlled trial of pramipexole in addition to mood stabilisers for patients with treatment resistant bipolar depression (the PAX-BD study). BMC Psychiatry 2021; 21:334. [PMID: 34225686 PMCID: PMC8256234 DOI: 10.1186/s12888-021-03322-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 06/10/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Treatment Resistant Bipolar Depression (TRBD) is a major contributor to the burden of disease associated with Bipolar Disorder (BD). Treatment options for people experiencing bipolar depression are limited to three interventions listed by National Institute for Health and Care: lamotrigine, quetiapine and olanzapine, of which the latter two are often not well tolerated. The majority of depressed people with BD are therefore prescribed antidepressants despite limited efficacy. This demonstrates an unmet need for additional interventions. Pramipexole has been shown to improve mood symptoms in animal models of depression, in people with Parkinson's Disease and two proof of principle trials of pramipexole for people with BD who are currently depressed. METHODS The PAX-BD study, funded by the United Kingdom (UK) National Institute for Health Research, aims to extend previous findings by assessing the efficacy, safety and health economic impact of pramipexole in addition to mood stabilisers for patients with TRBD. A randomised, double-blind, placebo controlled design is conducted in a naturalistic UK National Health Service setting. An internal pilot study to examine feasibility and acceptability of the study design is included. Participants with TRBD are screened from National Health Service secondary care services in up to 40 mental health trusts in the UK, with the aim of recruiting approximately 414 participants into a pre-randomisation phase to achieve a target of 290 randomised participants. Primary safety and efficacy measures are at 12 weeks following randomisation, with follow up of participants to 52 weeks. The primary outcome is depressive symptoms as measured by Quick Inventory for Depressive Symptomatology - Self Report. Secondary outcomes include changes in anxiety, manic symptoms, tolerability, acceptability, quality of life and cost-effectiveness. Outcome measures are collected remotely using self-report tools implemented online, and observer-rated assessments conducted via telephone. ANCOVA will be used to examine the difference in rating scale scores between treatment arms, and dependent on compliance in completion of weekly self-report measures. A mixed effects linear regression model may also be used to account for repeated measures. TRIAL REGISTRATION ISRCTN72151939. Registered on 28 August 2019, http://www.isrctn.com/ISRCTN72151939 Protocol Version: 04-FEB-2021, Version 9.0.
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Affiliation(s)
- Lumbini Azim
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
- Northern Centre for Mood Disorders, Newcastle University Translational and Clinical Research Institute, Newcastle, UK
| | - Paul Hindmarch
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
- Northern Centre for Mood Disorders, Newcastle University Translational and Clinical Research Institute, Newcastle, UK
| | - Georgiana Browne
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle, UK
| | - Thomas Chadwick
- Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Emily Clare
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - Paul Courtney
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - Lyndsey Dixon
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - Nichola Duffelen
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - Tony Fouweather
- Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - John R Geddes
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Nicola Goudie
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle, UK
| | - Sandy Harvey
- Patient, Carer and Public Involvement, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Clinical Research Network in North East and North Cumbria, Newcastle upon Tyne, UK
| | - Timea Helter
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | | | - Garry Martin
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - Phil Mawson
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle, UK
| | - Jenny McCaffery
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle, UK
| | - Richard Morriss
- Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK
| | - Judit Simon
- Department of Psychiatry, University of Oxford, Oxford, UK
- Patient, Carer and Public Involvement, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Daniel Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Paul R A Stokes
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, London, UK
| | - Jenn Walker
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle, UK
| | - Chris Weetman
- Newcastle Clinical Trials Unit, Newcastle University, Newcastle, UK
| | | | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, London, UK
| | - Stuart Watson
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
- Northern Centre for Mood Disorders, Newcastle University Translational and Clinical Research Institute, Newcastle, UK
| | - R Hamish McAllister-Williams
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK.
- Northern Centre for Mood Disorders, Newcastle University Translational and Clinical Research Institute, Newcastle, UK.
- Northern Centre for Mood Disorders, Wolfson Research Centre, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5LP, UK.
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7
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Galbally M, Frayne J, Watson SJ, Snellen M. Psychopharmacological prescribing practices in pregnancy for women with severe mental illness: A multicentre study. Eur Neuropsychopharmacol 2019; 29:57-65. [PMID: 30497841 DOI: 10.1016/j.euroneuro.2018.11.1103] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 10/26/2018] [Accepted: 11/09/2018] [Indexed: 01/26/2023]
Abstract
There is little known about real world psychopharmacological prescribing practices in managing pregnant women with severe mental illness (SMI). This study utilised a sample of 535 women with a SMI across two hospitals in Australia. This included women with psychotic disorders, bipolar disorder and a range of non-psychotic disorders. The majority of women with a SMI in pregnancy were prescribed psychotropic medication as part of their management. Furthermore, more than one class of agent was prescribed for 31% of women with psychotic disorders and 30% of women with bipolar disorder. Differences between sites were identified in prescribing practices across the mental disorders. This included the variation in rates of use of multiple agents and pattern of use across pregnancy. This study also identified that women with a SMI had elevated rates of gestational hypertension, gestational diabetes mellitus, smoking and obesity in pregnancy and neonates admitted following delivery compared with the Australian average. These findings suggest that studies that examine associated risks for severe mental disorders or their treatments on pregnancy and infant outcomes should take into account the prescribing practices including the likelihood of exposure to polypharmacy and a range of potential confounding co-morbidities and exposures. The discrepancies in reported findings for pregnancy and infant outcomes following use of antipsychotic and mood stabiliser agents such as lithium may be at least partially accounted for by the complexity of multiple exposures that includes use of multiple psychopharmacological agents, co-exposures such as smoking and co-morbid conditions such as obesity.
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Affiliation(s)
- Megan Galbally
- School of Psychology and Exercise Science, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia; School of Medicine, University of Notre Dame, Australia; King Edward Memorial Hospital, Australia.
| | - Jacqueline Frayne
- King Edward Memorial Hospital, Australia; School of Medicine, Division of General Practice, The University of Western Australia, Australia
| | - Stuart J Watson
- School of Psychology and Exercise Science, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia; School of Medicine, University of Notre Dame, Australia
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8
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Ferrey AE, Geulayov G, Casey D, Wells C, Fuller A, Bankhead C, Ness J, Clements C, Gunnell D, Kapur N, Hawton K. Relative toxicity of mood stabilisers and antipsychotics: case fatality and fatal toxicity associated with self-poisoning. BMC Psychiatry 2018; 18:399. [PMID: 30587176 PMCID: PMC6307121 DOI: 10.1186/s12888-018-1993-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 12/19/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Bipolar and other psychiatric disorders are associated with considerably increased risk of suicidal behaviour, which may include self-poisoning with medication used to treat the disorder. Therefore, choice of medication for treatment should include consideration of toxicity, especially for patients at risk. The aim of this study was to estimate the relative toxicity of specific drugs within two drug categories, antipsychotics and mood stabilizers, using large-scale databases to provide evidence that could assist clinicians in making decisions about prescribing, especially for patients at risk of suicidal behaviour. METHOD Two indices were used to assess relative toxicity of mood stabilisers and antipsychotics: case fatality (the ratio between rates of fatal and non-fatal self-poisoning) and fatal toxicity (the ratio between rates of fatal self-poisoning and prescription). Mood stabilisers assessed included lithium [reference], sodium valproate, carbamazepine, and lamotrigine, while antipsychotics included chlorpromazine [reference], clozapine, olanzapine, quetiapine and risperidone. Fatal self-poisoning (suicide) data were provided by the Office for National Statistics (ONS), non-fatal self-poisoning data by the Multicentre Study of Self-harm in England, and information on prescriptions by the Clinical Practice Research Datalink. The primary analysis focussed on deaths due to a single drug. Cases where the drug of interest was listed as the likely primary toxic agent in multiple drug overdoses were also analysed. The study period was 2005-2012. RESULTS There appeared to be little difference in toxicity between the mood stabilisers, except that based on case fatality where multiple drug poisonings were considered, carbamazepine was over twice as likely to result in death relative to lithium (OR 2.37 95% CI 1.16-4.85). Of the antipsychotics, clozapine was approximately18 times more likely to result in death when taken in overdose than chlorpromazine (single drug case fatality: OR 18.53 95% CI 8.69-39.52). Otherwise, only risperidone differed from chlorpromazine, being less toxic (OR 0.06 95% CI 0.01-0.47). CONCLUSIONS There was little difference in toxicity of the individual mood stabilisers. Clozapine was far more toxic than the other antipsychotics. The findings are relevant to prescribing policy, especially for patients at particular risk of suicidal behaviour.
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Affiliation(s)
- Anne E. Ferrey
- 0000 0004 1936 8948grid.4991.5Centre for Suicide Research, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK ,0000 0004 1936 8948grid.4991.5Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Galit Geulayov
- 0000 0004 1936 8948grid.4991.5Centre for Suicide Research, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Deborah Casey
- 0000 0004 1936 8948grid.4991.5Centre for Suicide Research, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Claudia Wells
- 0000 0001 2157 6840grid.426100.1Office for National Statistics, Newport, UK
| | - Alice Fuller
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Clare Bankhead
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Jennifer Ness
- 0000 0004 0396 1667grid.418388.eCentre for Self-harm and Suicide Prevention Research, Derbyshire Healthcare NHS Foundation Trust, Derby, UK
| | - Caroline Clements
- 0000000121662407grid.5379.8Centre for Suicide Prevention, University of Manchester, Manchester, UK
| | - David Gunnell
- 0000 0004 1936 7603grid.5337.2School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Navneet Kapur
- 0000000121662407grid.5379.8Centre for Suicide Prevention, University of Manchester, Manchester, UK
| | - Keith Hawton
- 0000 0004 1936 8948grid.4991.5Centre for Suicide Research, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
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