Phenotypic clustering of bipolar disorder supports stratification by lithium responsiveness over diagnostic subtypes

Author:

Scott Katie1ORCID,O'Donovan Claire1,Brancati Giulio Emilio2ORCID,Cervantes Pablo3,Ardau Rafaella4,Manchia Mirko56ORCID,Severino Giovanni7,Rybakowski Janusz8,Tondo Leonardo910,Grof Paul1112,Alda Martin1ORCID,Nunes Abraham113ORCID

Affiliation:

1. Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada

2. Department of Clinical and Experimental Medicine University Hospital of Pisa Pisa Italy

3. Department of Psychiatry McGill University Health Centre Montreal Quebec Canada

4. Unit of Clinical Pharmacology University Hospital of Cagliari Cagliari Italy

5. Department of Medical Sciences and Public Health University of Cagliari Cagliari Italy

6. Department of Pharmacology Dalhousie University Halifax Nova Scotia Canada

7. Department of Biomedical Sciences University of Cagliari Cagliari Italy

8. Department of Adult Psychiatry Poznan University of Medical Sciences Poznan Poland

9. Department of Psychiatry Harvard Medical School Boston Nova Scotia USA

10. Lucio Bini Mood Disorder Center Cagliari Italy

11. Mood Disorders Center of Ottawa Ottawa Ontario Canada

12. Department of Psychiatry University of Toronto Toronto Ontario Canada

13. Faculty of Computer Science Dalhousie University Halifax Nova Scotia Canada

Abstract

AbstractIntroductionThe aim of this study was to determine whether the clinical profiles of bipolar disorder (BD) patients could be differentiated more clearly using the existing classification by diagnostic subtype or by lithium treatment responsiveness.MethodsWe included adult patients with BD‐I or II (N = 477 across four sites) who were treated with lithium as their principal mood stabilizer for at least 1 year. Treatment responsiveness was defined using the dichotomized Alda score. We performed hierarchical clustering on phenotypes defined by 40 features, covering demographics, clinical course, family history, suicide behaviour, and comorbid conditions. We then measured the amount of information that inferred clusters carried about (A) BD subtype and (B) lithium responsiveness using adjusted mutual information (AMI) scores. Detailed phenotypic profiles across clusters were then evaluated with univariate comparisons.ResultsTwo clusters were identified (n = 56 and n = 421), which captured significantly more information about lithium responsiveness (AMI range: 0.033 to 0.133) than BD subtype (AMI: 0.004 to 0.011). The smaller cluster had disproportionately more lithium responders (n = 47 [83.8%]) when compared to the larger cluster (103 [24.4%]; p = 0.006).ConclusionsPhenotypes derived from detailed clinical data may carry more information about lithium responsiveness than the current classification of diagnostic subtype. These findings support lithium responsiveness as a valid approach to stratification in clinical samples.

Funder

Canadian Institutes of Health Research

Dalhousie Medical Research Foundation

Research Nova Scotia

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3