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Association between history of psychosis and cardiovascular disease in bipolar disorder

Overview of attention for article published in Bipolar Disorders, June 2015
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Title
Association between history of psychosis and cardiovascular disease in bipolar disorder
Published in
Bipolar Disorders, June 2015
DOI 10.1111/bdi.12302
Pubmed ID
Authors

Miguel L Prieto, Susan L McElroy, Sharonne N Hayes, Bruce Sutor, Simon Kung, William V Bobo, Manuel E Fuentes, Alfredo B Cuellar-Barboza, Scott Crow, Urban Ösby, Mohit Chauhan, Jeanette Westman, Jennifer R Geske, Colin L Colby, Euijung Ryu, Joanna M Biernacka, Mark A Frye

Abstract

To determine whether clinical features of bipolar disorder, such as history of psychosis, and cardiovascular disease (CVD) risk factors contribute to a higher risk of CVD among patients with bipolar disorder. This cross-sectional study included a sample of 988 patients with bipolar I or bipolar II disorder or schizoaffective bipolar type confirmed by the Structured Clinical Interview for DSM-IV-TR disorders (SCID). Medical comorbidity burden was quantified utilizing the Cumulative Illness Severity Rating Scale (CIRS). This 13-item organ-based scale includes cardiac disease severity quantification. Confirmed by medical record review, patients who scored 1 (current mild or past significant problem) or higher in the cardiac item were compared by logistic regression to patients who scored 0 (no impairment), adjusting for CVD risk factors that were selected using a backwards stepwise approach or were obtained from the literature. In a multivariate model, age [odds ratio (OR) = 3.03, 95% confidence interval (CI): 1.66-5.54, p < 0.0001], hypertension (OR = 2.43, 95% CI: 1.69-3.55, p < 0.0001), and history of psychosis (OR = 1.48, 95% CI: 1.03-2.13, p = 0.03) were associated with CVD. When CVD risk factors from the literature were added to the analysis, age (OR = 3.19, 95% CI: 1.67-6.10, p = 0.0005) and hypertension (OR = 2.46, 95% CI: 1.61-3.76, p < 0.01) remained significant, with psychosis being at the trend level (OR = 1.43, 95% CI: 0.96-2.13, p = 0.08). The phenotype of psychotic bipolar disorder may reflect higher illness severity with associated cardiac comorbidity. Further studies are encouraged to clarify the effect of the disease burden (i.e., depression), lifestyle, and treatment interventions (i.e., atypical antipsychotics) on this risk association.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Other 8 14%
Student > Master 7 12%
Student > Bachelor 5 8%
Student > Ph. D. Student 5 8%
Other 11 19%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 18 31%
Psychology 12 20%
Nursing and Health Professions 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Computer Science 2 3%
Other 7 12%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 March 2016.
All research outputs
#19,985,639
of 24,558,777 outputs
Outputs from Bipolar Disorders
#968
of 1,165 outputs
Outputs of similar age
#198,406
of 271,139 outputs
Outputs of similar age from Bipolar Disorders
#7
of 10 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,165 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 271,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.