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Clinical factors associated with lithium response in bipolar disorders.

Identifieur interne : 000D63 ( Main/Corpus ); précédent : 000D62; suivant : 000D64

Clinical factors associated with lithium response in bipolar disorders.

Auteurs : Sarah Sportiche ; Pierre Alexis Geoffroy ; Clara Brichant-Petitjean ; Sebastien Gard ; Jean-Pierre Khan ; Jean-Michel Azorin ; Chantal Henry ; Marion Leboyer ; Bruno Etain ; Jan Scott ; Frank Bellivier

Source :

RBID : pubmed:27557821

English descriptors

Abstract

BACKGROUND

Bipolar disorder is a common chronic illness characterized by high levels of morbidity and all-cause mortality. Lithium is one of the gold standard mood stabilizer treatments, but the identification of good, partial and non-responders in clinical settings is inconsistent.

METHODS

We used an established rating scale (the Alda scale) to classify the degree of lithium response (good response, partial response, non-response) in a large, multicentre clinically representative sample of well-characterized cases of bipolar disorders I and II. Next, we examined previously reported clinical predictors of response to determine which factors significantly differentiated between the three response groups.

RESULTS

Of 754 cases, 300 received lithium, for at least 6 months, as a treatment for bipolar disorder (40%). Of these cases, 17% were classified as good response, 52% as partial response and 31% as non-response. Lifetime history of mixed episodes ( p = 0.017) and alcohol use disorders ( p = 0.015) both occurred in >20% of partial response and non-response groups but <10% of good response cases. Family history of bipolar disorder I was of borderline statistical significance, being more frequent in the good response group (38%) compared with the non-response group (18%). There was a trend ( p = 0.06) for bipolar disorder II to be associated with non-response.

CONCLUSIONS

Only three factors previously identified as predictors of lithium response significantly differentiated the response groups identified in our sample. Interestingly, these factors have all been found to co-occur more often than expected by chance, and it can be hypothesized that they may represent a shared underlying factor or dimension. Further prospective studies of predictors and the performance of the Alda scale are recommended.


DOI: 10.1177/0004867416664794
PubMed: 27557821

Links to Exploration step

pubmed:27557821

Le document en format XML

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<term>Adult (MeSH)</term>
<term>Antimanic Agents (pharmacology)</term>
<term>Bipolar Disorder (drug therapy)</term>
<term>Bipolar Disorder (physiopathology)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Lithium Compounds (pharmacology)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
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<p>
<b>BACKGROUND</b>
</p>
<p>Bipolar disorder is a common chronic illness characterized by high levels of morbidity and all-cause mortality. Lithium is one of the gold standard mood stabilizer treatments, but the identification of good, partial and non-responders in clinical settings is inconsistent.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>We used an established rating scale (the Alda scale) to classify the degree of lithium response (good response, partial response, non-response) in a large, multicentre clinically representative sample of well-characterized cases of bipolar disorders I and II. Next, we examined previously reported clinical predictors of response to determine which factors significantly differentiated between the three response groups.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Of 754 cases, 300 received lithium, for at least 6 months, as a treatment for bipolar disorder (40%). Of these cases, 17% were classified as good response, 52% as partial response and 31% as non-response. Lifetime history of mixed episodes ( p = 0.017) and alcohol use disorders ( p = 0.015) both occurred in >20% of partial response and non-response groups but <10% of good response cases. Family history of bipolar disorder I was of borderline statistical significance, being more frequent in the good response group (38%) compared with the non-response group (18%). There was a trend ( p = 0.06) for bipolar disorder II to be associated with non-response.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSIONS</b>
</p>
<p>Only three factors previously identified as predictors of lithium response significantly differentiated the response groups identified in our sample. Interestingly, these factors have all been found to co-occur more often than expected by chance, and it can be hypothesized that they may represent a shared underlying factor or dimension. Further prospective studies of predictors and the performance of the Alda scale are recommended.</p>
</div>
</front>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Bipolar disorder is a common chronic illness characterized by high levels of morbidity and all-cause mortality. Lithium is one of the gold standard mood stabilizer treatments, but the identification of good, partial and non-responders in clinical settings is inconsistent.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We used an established rating scale (the Alda scale) to classify the degree of lithium response (good response, partial response, non-response) in a large, multicentre clinically representative sample of well-characterized cases of bipolar disorders I and II. Next, we examined previously reported clinical predictors of response to determine which factors significantly differentiated between the three response groups.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Of 754 cases, 300 received lithium, for at least 6 months, as a treatment for bipolar disorder (40%). Of these cases, 17% were classified as good response, 52% as partial response and 31% as non-response. Lifetime history of mixed episodes ( p = 0.017) and alcohol use disorders ( p = 0.015) both occurred in >20% of partial response and non-response groups but <10% of good response cases. Family history of bipolar disorder I was of borderline statistical significance, being more frequent in the good response group (38%) compared with the non-response group (18%). There was a trend ( p = 0.06) for bipolar disorder II to be associated with non-response.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Only three factors previously identified as predictors of lithium response significantly differentiated the response groups identified in our sample. Interestingly, these factors have all been found to co-occur more often than expected by chance, and it can be hypothesized that they may represent a shared underlying factor or dimension. Further prospective studies of predictors and the performance of the Alda scale are recommended.</AbstractText>
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<LastName>Sportiche</LastName>
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<Affiliation>1 Inserm, U1144, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>2 AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Pôle de Psychiatrie et de Médecine Addictologique, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>3 Fondation FondaMental, Créteil, France.</Affiliation>
</AffiliationInfo>
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<LastName>Geoffroy</LastName>
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<Affiliation>1 Inserm, U1144, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>2 AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Pôle de Psychiatrie et de Médecine Addictologique, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>3 Fondation FondaMental, Créteil, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>4 Université Paris Diderot and Sorbonne Paris Cité, UMR-S 1144, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>5 Université Paris Descartes, UMR-S 1144, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Brichant-Petitjean</LastName>
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<Affiliation>1 Inserm, U1144, Paris, France.</Affiliation>
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<Affiliation>3 Fondation FondaMental, Créteil, France.</Affiliation>
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<Keyword MajorTopicYN="N">lithium response</Keyword>
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