| Title |
Risk Factors Associated With Antidepressant Exposure and History of Antidepressant-Induced Mania in Bipolar Disorder.
|
|---|---|
| Published in |
Journal of Clinical Psychiatry, June 2018
|
| DOI | 10.4088/jcp.17m11765 |
| Pubmed ID | |
| Authors |
Aislinn J Williams, Zongshan Lai, Seth Knight, Masoud Kamali, Shervin Assari, Melvin G McInnis |
| Abstract |
Despite their widespread use in bipolar disorder, there is controversy surrounding the inclusion of antidepressant medications in the disorder's management. We sought to identify which demographic, socioeconomic, and clinical factors are associated with antidepressant exposure in bipolar disorder and which bipolar disorder patients are most likely to report a history of antidepressant-induced mania (AIM) when exposed to antidepressants. Our study included subjects with bipolar I disorder (n = 309), bipolar II disorder (n = 66), and bipolar disorder not otherwise specified (n = 27) and schizoaffective disorder, bipolar type (n = 14), from a longitudinal, community-based study. Subjects were evaluated using the Diagnostic Interview for Genetic Studies, modified for DSM-IV criteria. We applied multivariate logistical regression modeling to investigate which factors contribute to antidepressant exposure in bipolar disorder patients. We also used a logistic regression modeling approach to determine which clinical factors in bipolar disorder patients are associated with a history of AIM. Data were gathered from February 2006 through December 2010. Our results suggest that the risk factors most strongly associated with antidepressant exposure are female sex (OR = 2.73, P = .005), older age (OR = 1.03, P = .04), greater chronicity of illness (OR = 2.29, P = .04), and, to a lesser extent, white race (OR = 0.44, P = .051). Factors associated with reduced antidepressant exposure include history of affective psychosis (OR = 0.36, P = .01) and a greater number of previous manic episodes (OR = 0.98, P = .03). In subjects who reported a history of AIM, regression analysis revealed that the only statistically significant factor associated with AIM history was female sex (OR = 3.74, P = .02). These data suggest that there are certain identifiable factors associated with antidepressant exposure in bipolar disorder patients, and some of these, specifically female sex, are also associated with a history of AIM. These data may be useful in designing prospective trials to identify interventions that can reduce the risk of this adverse outcome. |
X Demographics
The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 13% |
| Mexico | 5 | 9% |
| United States | 3 | 6% |
| France | 2 | 4% |
| Canada | 2 | 4% |
| Colombia | 2 | 4% |
| Peru | 1 | 2% |
| Thailand | 1 | 2% |
| Argentina | 1 | 2% |
| Other | 10 | 19% |
| Unknown | 19 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 74% |
| Practitioners (doctors, other healthcare professionals) | 6 | 11% |
| Scientists | 5 | 9% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Other | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 9 | 25% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Nursing and Health Professions | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Psychology | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2018.
All research outputs
#955,813
of 25,708,267 outputs
Outputs from Journal of Clinical Psychiatry
#300
of 4,149 outputs
Outputs of similar age
#20,330
of 343,736 outputs
Outputs of similar age from Journal of Clinical Psychiatry
#12
of 60 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done particularly well, scoring higher than 92% of its peers.
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We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.