Can network analysis shed light on predictors of lithium response in bipolar I disorder?

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Title: Can network analysis shed light on predictors of lithium response in bipolar I disorder?
Authors: Scott, J. (AUTHOR), Bellivier, F. (AUTHOR), Manchia, M. (AUTHOR), Schulze, T. (AUTHOR), Alda, M. (AUTHOR), Etain, B. (AUTHOR), Cervantes, Pablo (AUTHOR), Garnham, Julie (AUTHOR), Nunes, Abraham (AUTHOR), O'Donovan, Claire (AUTHOR), Slaney, Claire (AUTHOR), Bauer, Michael (AUTHOR), Pfennig, Andrea (AUTHOR), Reif, Andreas (AUTHOR), Kittel‐Schneider, Sarah (AUTHOR), Veeh, Julia (AUTHOR), Zompo, Maria del (AUTHOR), Ardau, Raffaella (AUTHOR), Chillotti, Caterina (AUTHOR), Severino, Giovanni (AUTHOR)
Source: Acta Psychiatrica Scandinavica. Jun2020, Vol. 141 Issue 6, p522-533. 12p. 1 Illustration, 1 Diagram, 2 Charts, 1 Graph.
Subjects: Bipolar disorder, Therapeutic use of lithium, Obsessive-compulsive disorder, Panic disorders, Anxiety disorders
Abstract: Objective: To undertake a large‐scale clinical study of predictors of lithium (Li) response in bipolar I disorder (BD‐I) and apply contemporary multivariate approaches to account for inter‐relationships between putative predictors. Methods: We used network analysis to estimate the number and strength of connections between potential predictors of good Li response (measured by a new scoring algorithm for the Retrospective Assessment of Response to Lithium Scale) in 900 individuals with BD‐I recruited to the Consortium of Lithium Genetics. Results: After accounting for co‐associations between potential predictors, the most important factors associated with the good Li response phenotype were panic disorder, manic predominant polarity, manic first episode, age at onset between 15–32 years and family history of BD. Factors most strongly linked to poor outcome were comorbid obsessive–compulsive disorder, alcohol and/or substance misuse, and/or psychosis (symptoms or syndromes). Conclusions: Network analysis can offer important additional insights to prospective studies of predictors of Li treatment outcomes. It appears to especially help in further clarifying the role of family history of BD (i.e. its direct and indirect associations) and highlighting the positive and negative associations of different subtypes of anxiety disorders with Li response, particularly the little‐known negative association between Li response and obsessive–compulsive disorder. [ABSTRACT FROM AUTHOR]
Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Can network analysis shed light on predictors of lithium response in bipolar I disorder?
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  Data: <searchLink fieldCode="AR" term="%22Scott%2C+J%2E%22">Scott, J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bellivier%2C+F%2E%22">Bellivier, F.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Manchia%2C+M%2E%22">Manchia, M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schulze%2C+T%2E%22">Schulze, T.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alda%2C+M%2E%22">Alda, M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Etain%2C+B%2E%22">Etain, B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cervantes%2C+Pablo%22">Cervantes, Pablo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Garnham%2C+Julie%22">Garnham, Julie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nunes%2C+Abraham%22">Nunes, Abraham</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22O'Donovan%2C+Claire%22">O'Donovan, Claire</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Slaney%2C+Claire%22">Slaney, Claire</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bauer%2C+Michael%22">Bauer, Michael</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pfennig%2C+Andrea%22">Pfennig, Andrea</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reif%2C+Andreas%22">Reif, Andreas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kittel‐Schneider%2C+Sarah%22">Kittel‐Schneider, Sarah</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Veeh%2C+Julia%22">Veeh, Julia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zompo%2C+Maria+del%22">Zompo, Maria del</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ardau%2C+Raffaella%22">Ardau, Raffaella</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chillotti%2C+Caterina%22">Chillotti, Caterina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Severino%2C+Giovanni%22">Severino, Giovanni</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Acta+Psychiatrica+Scandinavica%22">Acta Psychiatrica Scandinavica</searchLink>. Jun2020, Vol. 141 Issue 6, p522-533. 12p. 1 Illustration, 1 Diagram, 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Bipolar+disorder%22">Bipolar disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Therapeutic+use+of+lithium%22">Therapeutic use of lithium</searchLink><br /><searchLink fieldCode="DE" term="%22Obsessive-compulsive+disorder%22">Obsessive-compulsive disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Panic+disorders%22">Panic disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety+disorders%22">Anxiety disorders</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: To undertake a large‐scale clinical study of predictors of lithium (Li) response in bipolar I disorder (BD‐I) and apply contemporary multivariate approaches to account for inter‐relationships between putative predictors. Methods: We used network analysis to estimate the number and strength of connections between potential predictors of good Li response (measured by a new scoring algorithm for the Retrospective Assessment of Response to Lithium Scale) in 900 individuals with BD‐I recruited to the Consortium of Lithium Genetics. Results: After accounting for co‐associations between potential predictors, the most important factors associated with the good Li response phenotype were panic disorder, manic predominant polarity, manic first episode, age at onset between 15–32 years and family history of BD. Factors most strongly linked to poor outcome were comorbid obsessive–compulsive disorder, alcohol and/or substance misuse, and/or psychosis (symptoms or syndromes). Conclusions: Network analysis can offer important additional insights to prospective studies of predictors of Li treatment outcomes. It appears to especially help in further clarifying the role of family history of BD (i.e. its direct and indirect associations) and highlighting the positive and negative associations of different subtypes of anxiety disorders with Li response, particularly the little‐known negative association between Li response and obsessive–compulsive disorder. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/acps.13163
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