Can actigraphy be used to define lithium response dimensions in bipolar disorders?


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 03 2021
Historique:
received: 24 11 2020
revised: 09 01 2021
accepted: 30 01 2021
pubmed: 14 2 2021
medline: 27 4 2021
entrez: 13 2 2021
Statut: ppublish

Résumé

Actigraphy is commonly used in case-control studies to explore sleep-wake patterns and circadian rhythmicity in bipolar disorders (BD). However, there is limited ecological research regarding actigraphy parameters associated with response to lithium (Li_Resp). Outpatients with BD-I (n=70) and BD-II (n=20) who were all prescribed prophylactic Li undertook 21 consecutive days of actigraphy recording. The Retrospective Assessment of Response to Lithium Scale (also referred as the Alda scale) was rated on a 0-10 continuum. We used principal component analysis (PCA) to summarize interrelationships among clinical and actigraphic variables and Li_Resp. PCA demonstrated the existence of a Li_Resp dimension (accounting for >20% explained variance) characterized by 5 markers of circadian timing and rhythmicity. Replication of the PCA, using the resampling procedure, confirmed this model was robust for the BD-I but not for BD-II (which showed weaker associations between Li_Resp and sleep variables). These circadian rhythm markers identified by PCA correctly classified 64% (95% Confidence Intervals: 52-76%; p<0.03) of all BD cases as Li responders or non-responders. Although we attempted to minimize risk of statistical error, the small BD-II subsample may have undermined the ability of PCA to identify a robust Li_Resp dimension for this subtype. Our findings are compatible with circadian models of BD and with putative mechanisms of action of Li. If confirmed in prospective studies, the study offers support for use of actigraphy as a relevant method for real time objective monitoring of Li_Resp, with few concerns regarding reliability and validity.

Sections du résumé

BACKGROUND
Actigraphy is commonly used in case-control studies to explore sleep-wake patterns and circadian rhythmicity in bipolar disorders (BD). However, there is limited ecological research regarding actigraphy parameters associated with response to lithium (Li_Resp).
METHODS
Outpatients with BD-I (n=70) and BD-II (n=20) who were all prescribed prophylactic Li undertook 21 consecutive days of actigraphy recording. The Retrospective Assessment of Response to Lithium Scale (also referred as the Alda scale) was rated on a 0-10 continuum. We used principal component analysis (PCA) to summarize interrelationships among clinical and actigraphic variables and Li_Resp.
RESULTS
PCA demonstrated the existence of a Li_Resp dimension (accounting for >20% explained variance) characterized by 5 markers of circadian timing and rhythmicity. Replication of the PCA, using the resampling procedure, confirmed this model was robust for the BD-I but not for BD-II (which showed weaker associations between Li_Resp and sleep variables). These circadian rhythm markers identified by PCA correctly classified 64% (95% Confidence Intervals: 52-76%; p<0.03) of all BD cases as Li responders or non-responders.
LIMITATIONS
Although we attempted to minimize risk of statistical error, the small BD-II subsample may have undermined the ability of PCA to identify a robust Li_Resp dimension for this subtype.
CONCLUSIONS
Our findings are compatible with circadian models of BD and with putative mechanisms of action of Li. If confirmed in prospective studies, the study offers support for use of actigraphy as a relevant method for real time objective monitoring of Li_Resp, with few concerns regarding reliability and validity.

Identifiants

pubmed: 33581466
pii: S0165-0327(21)00083-5
doi: 10.1016/j.jad.2021.01.060
pii:
doi:

Substances chimiques

Lithium 9FN79X2M3F

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

402-409

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Bruno Etain (B)

Centre for Affective Disorders, IoPPN, Kings College, London, United Kingdom; Université de Paris, Paris, France; AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; INSERM, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Descartes-Paris Diderot, France. Electronic address: bruno.etain@inserm.fr.

Manon Meyrel (M)

Université de Paris, Paris, France; AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France.

Vincent Hennion (V)

Université de Paris, Paris, France; AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France.

Frank Bellivier (F)

AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; INSERM, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Descartes-Paris Diderot, France.

Jan Scott (J)

Université de Paris, Paris, France; AP-HP Nord, DMU Neurosciences, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.

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