Journal article
Patterns of serotonergic antidepressant usage in prodromal Huntington disease
Psychiatry research, Vol.196(2-3), pp.309-314
04/30/2012
DOI: 10.1016/j.psychres.2011.09.005
PMCID: PMC3763706
PMID: 22397915
Abstract
Antidepressant usage in prodromal Huntington Disease (HD) remains uncharacterized, despite its relevance in designing experiments, studying outcomes of HD, and evaluating the efficacy of therapeutic interventions. We searched baseline medication logs of 787 prodromal HD and 215 healthy comparison (HC) participants for antidepressant use. Descriptive and mixed-effects logistic regression modeling characterized usage across participants. At baseline, approximately one in five prodromal HD participants took antidepressants. Of those, the vast majority took serotonergic antidepressants (selective serotonin reuptake inhibitor (SSRI) or serotonin/norepinephrine reuptake inhibitor (SNRI)). Significantly more prodromal HD participants used serotonergic antidepressants than their HC counterparts. Because of the prevalence of these medications, further analyses focused on this group alone. Mixed-effects logistic regression modeling revealed significant relationships of both closer proximity to diagnosis and female sex with greater likelihood to be prescribed a serotonergic antidepressant. More prodromal HD participants took antidepressants in general and specifically the subclass of serotonergic antidepressants than their at-risk counterparts, particularly when they were closer to predicted time of conversion to manifest HD. These propensities must be considered in studies of prodromal HD participants.
Details
- Title: Subtitle
- Patterns of serotonergic antidepressant usage in prodromal Huntington disease
- Creators
- Kelly C Rowe - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAJane S Paulsen - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USADouglas R Langbehn - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAChiachi Wang - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAJames Mills - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USALeigh J Beglinger - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAMegan M Smith - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAEric A Epping - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAJess G Fiedorowicz - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAKevin Duff - Department of Neurology, The University of Utah, Salt Lake City, UT, USAAdam Ruggle - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USADavid J Moser - Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USAPREDICT-HD Investigators of the Huntington Study Group
- Contributors
- Hans J Johnson (Contributor) - University of Iowa, Electrical and Computer Engineering
- Resource Type
- Journal article
- Publication Details
- Psychiatry research, Vol.196(2-3), pp.309-314
- DOI
- 10.1016/j.psychres.2011.09.005
- PMID
- 22397915
- PMCID
- PMC3763706
- NLM abbreviation
- Psychiatry Res
- ISSN
- 0165-1781
- eISSN
- 1872-7123
- Publisher
- Elsevier Ireland Ltd
- Language
- English
- Date published
- 04/30/2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Epidemiology; Psychological and Brain Sciences; Iowa Neuroscience Institute; The Iowa Institute for Biomedical Imaging; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative; Medicine Administration; Internal Medicine
- Record Identifier
- 9984003931502771
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