| Title |
Subcortical white matter infarcts predict 1-year outcome of fatigue in stroke
|
|---|---|
| Published in |
BMC Neurology, December 2014
|
| DOI | 10.1186/s12883-014-0234-8 |
| Pubmed ID | |
| Authors |
Wai Kwong Tang, Yang Kun Chen, Hua Jun Liang, Winnie Chiu Wing Chu, Vincent Chung Tony Mok, Gabor S Ungvari, Ka Sing Wong |
| Abstract |
BackgroundFatigue is common in stroke survivors. Lesion location may influence the risk of poststroke fatigue (PSF) but it is uncertain whether location has an impact on the prognosis of PSF. This study examined the association between PSF outcome and infarct location.MethodsThe study sample comprised 435 Chinese patients with acute ischemic stroke admitted to the acute stroke unit of a university affiliated regional hospital in Hong Kong. Three and fifteen months after the onset of the index stroke a research assistant administered the Fatigue Severity Scale (FSS). PSF was defined as a FSS score of 4.0 or above. Of the 139 patients with PSF three months poststroke, 97 (69.8%) attended the 15-month follow-up, when 50 (51.5%) patients still had PSF (`non-remitters¿) and 47 (48.5%) did not report fatigue (`remitters¿). The presence and location of infarcts were evaluated with magnetic resonance imaging.ResultsIn comparison with the remitters, the non-remitters were more likely to have subcortical white matter infarcts (40.0% vs 21.3%, p¿=¿0.046). These infarcts remained an independent predictor of non-remission of PSF in the multivariate analysis, with an odds ratio of 4.208 (p¿=¿0.011).ConclusionsThe results suggest that subcortical white matter infarcts may influence the outcome of PSF. Further investigations are needed to explore whether infarcts have any impact on the response of PSF to pharmacological or psychological interventions. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 3% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 8 | 12% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 23 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Neuroscience | 9 | 13% |
| Psychology | 9 | 13% |
| Nursing and Health Professions | 7 | 10% |
| Computer Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 24 | 36% |
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 09 January 2015.
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#18,388,295
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Outputs from BMC Neurology
#1,882
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#258,279
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Outputs of similar age from BMC Neurology
#18
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