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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/222895
Identifying digital biomarkers of illness activity and treatment response in bipolar disorder with a novel wearable device (TIMEBASE): protocol for a pragmatic observational clinical study
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Background
Bipolar disorder is highly prevalent and consists of biphasic recurrent mood episodes of mania and depression, which translate into altered mood, sleep and activity alongside their physiological expressions.
Aims
The IdenTifying dIgital bioMarkers of illnEss activity and treatment response in BipolAr diSordEr with a novel wearable device (TIMEBASE) project aims to identify digital biomarkers of illness activity and treatment response in bipolar disorder.
Method
We designed a longitudinal observational study including 84 individuals. Group A comprises people with acute episode of mania (n = 12), depression (n = 12 with bipolar disorder and n = 12 with major depressive disorder (MDD)) and bipolar disorder with mixed features (n = 12). Physiological data will be recorded during 48 h with a research-grade wearable (Empatica E4) across four consecutive time points (acute, response, remission and episode recovery). Group B comprises 12 people with euthymic bipolar disorder and 12 with MDD, and group C comprises 12 healthy controls who will be recorded cross-sectionally. Psychopathological symptoms, disease severity, functioning and physical activity will be assessed with standardised psychometric scales. Physiological data will include acceleration, temperature, blood volume pulse, heart rate and electrodermal activity. Machine learning models will be developed to link physiological data to illness activity and treatment response. Generalisation performance will be tested in data from unseen patients.
Results
Recruitment is ongoing.
Conclusions
This project should contribute to understanding the pathophysiology of affective disorders. The potential digital biomarkers of illness activity and treatment response in bipolar disorder could be implemented in a real-world clinical setting for clinical monitoring and identification of prodromal symptoms. This would allow early intervention and prevention of affective relapses, as well as personalisation of treatment.
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ANMELLA, Gerard, CORPONI, Filippo, LI, Bryan m., MAS, Ariadna, GARRIGA, Marina, SANABRA GONZÁLEZ, Miriam, PACCHIAROTTI, Isabella, VALENTÍ RIBAS, Marc, GRANDE I FULLANA, Iria, BENABARRE, Antonio, GIMÉNEZ PALOMO, Anna, AGASI, Isabel, BASTIDAS SALVADÓ, Anna, CAVERO ÁLVAREZ, Myriam, BIOQUE ALCÁZAR, Miquel, GARCÍA RIZO, Clemente, MADERO GÓMEZ, Santiago, ARBELO, Néstor, MURRU, Andrea, AMORETTI GUADALL, Silvia, MARTÍNEZ-ARÁN, Anabel, RUIZ, Victoria, RIVAS, Yudith, FICO, Giovanna, DE PRISCO, Michele, OLIVA, Vincenzo, SOLANES, Aleix, RADUA, Joaquim, SAMALIN, Ludovic, YOUNG, Allan h., VERGARI, Antonio, VIETA I PASCUAL, Eduard, HIDALGO MAZZEI, Diego. Identifying digital biomarkers of illness activity and treatment response in bipolar disorder with a novel wearable device (TIMEBASE): protocol for a pragmatic observational clinical study. _BJPsych Open_. 2024. Vol. 10, núm. 5. [consulta: 25 de novembre de 2025]. ISSN: 2056-4724. [Disponible a: https://hdl.handle.net/2445/222895]