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Predictors of early post ischemic stroke apathy and depression: a cross-sectional study

Overview of attention for article published in BMC Psychiatry, June 2013
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Title
Predictors of early post ischemic stroke apathy and depression: a cross-sectional study
Published in
BMC Psychiatry, June 2013
DOI 10.1186/1471-244x-13-164
Pubmed ID
Authors

Song-ran Yang, Ping Hua, Xin-yuan Shang, Rong Hu, Xiao-en Mo, Xiao-ping Pan

Abstract

BACKGROUND: Apathy and depression are important neuropsychiatric disorders that can occur after a stroke but the etiology and risk factors are not well understood. The purpose of this study was to identify risk factors for apathy and depression following a stroke. METHODS: Patients with an acute stroke who met the inclusion criteria were recruited from our hospital, and general information was recorded from patient charts. The Apathy Evaluation Scale, Clinician Version (AES-C) was used to evaluate these patients within 2 weeks after the stroke. The Montreal Cognitive Assessment (MoCA), mini-mental state examination (MMSE), Hamilton Depression Scale (HAMD), Mattis Dementia Rating Scale Initiation/Perseveration subset (MDRS I/P), Frontal Assessment Battery (FAB) and Stroop Color-Word Association Test were employed to evaluate emotion, cognitive function and executive function. The patients were divided into two groups: the apathy group and the non-apathy group. We also divided the patients into two groups based on whether or not they had post-stroke depression. The clinical characteristics and scores on the MoCA, MMSE, HAMD and MDRS I/P were compared between the apathy and non-apathy groups as well as between patients with and without depression. Logistic regression analysis was performed to identify risk factors for apathy and depression following a stroke. RESULTS: A total of 75 patients with acute stroke were recruited. Of these, 25 (33.3%) developed apathy and 12 (16%) developed depression. Multivariate logistic regression analysis indicated that a history of cerebrovascular disease (OR: 6.45, 95% CI: 1.48-28.05, P = 0.013), low HbA1c (OR: 0.31, 95% CI: 0.12-0.81, P = 0.017) and a low MDRS I/P score (OR: 0.84, 95% CI: 0.74, 0.96, P = 0.010) were risk factors for post-stroke apathy. Additionally, multivariate logistic regression indicated that a low MDRS I/P (OR: 0.85, 95% CI: 0.75, 0.97, P = 0.0015) was associated with post-stroke depression. CONCLUSIONS: Three risk factors for post-stroke apathy were identified as a history of cerebrovascular disease, low HbA1c and lower MDRS I/P scores. A low MDRS I/P score was also identified as a risk factor for post-stroke depression. These results may be useful to clinicians in recognizing and treating apathy and depression in patients after a stroke.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Germany 1 <1%
Unknown 103 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 20%
Student > Ph. D. Student 13 12%
Student > Doctoral Student 12 11%
Researcher 11 10%
Student > Postgraduate 8 8%
Other 20 19%
Unknown 21 20%
Readers by discipline Count As %
Psychology 32 30%
Medicine and Dentistry 28 26%
Neuroscience 6 6%
Nursing and Health Professions 5 5%
Agricultural and Biological Sciences 3 3%
Other 10 9%
Unknown 22 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2013.
All research outputs
#14,171,074
of 22,711,645 outputs
Outputs from BMC Psychiatry
#3,020
of 4,648 outputs
Outputs of similar age
#111,308
of 197,554 outputs
Outputs of similar age from BMC Psychiatry
#47
of 73 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,648 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 32nd percentile – i.e., 32% 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 197,554 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.