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Role of Hyperintense Acute Reperfusion Marker for Classifying the Stroke Etiology

Overview of attention for article published in Frontiers in Neurology, November 2017
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Title
Role of Hyperintense Acute Reperfusion Marker for Classifying the Stroke Etiology
Published in
Frontiers in Neurology, November 2017
DOI 10.3389/fneur.2017.00630
Pubmed ID
Authors

Hee Young Choi, Kyung Mi Lee, Hyug-Gi Kim, Eui Jong Kim, Woo Suk Choi, Bum Joon Kim, Sung Hyuk Heo, Dae-Il Chang

Abstract

The hyperintense acute reperfusion marker (HARM) is a delayed enhancement of the subarachnoid or subpial space observed on post-contrast fluid-attenuated inversion recovery (FLAIR) images and is associated with permeability changes to the blood-brain barrier in acute stroke. We investigated the relationship between HARM and stroke etiology based on the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification. In addition, we evaluated the relationship between HARM and stroke locations with respect to vascular territories and anatomic compartments. We recruited 264 consecutive patients (109 women; mean age 68.63 years) who were diagnosed with acute ischemic stroke and underwent brain magnetic resonance imaging (MRI) including post-contrast FLAIR and DWI within 7 days of symptom onset from May 2015 to March 2016 for this retrospective study. Post-contrast FLAIR images were obtained 5 min after gadolinium administration. The mean time interval between the onset of stroke symptoms and MRI acquisition in total included patients was 18 h and 7 min (median 12 h and 57 min, range 2-127 h). We analyzed the overall incidence and distribution patterns of HARM in acute ischemic stroke cases and compared the relative incidence and distribution patterns of HARM between the subgroups of stroke etiology based on conventional TOAST classification. We obtained odds ratio (OR) of HARM in different stroke locations based on vascular territories and anatomical compartments. This study was approved by our institutional review board. Among the 264 patients, 67 (25.38%) patients were HARM positive and 197 (74.62%) patients were HARM negative. There was significant difference in HARM incidence among the stroke subgroups (p < 0.001). Small vessel occlusion (SVO) was associated with the HARM-negative group (p < 0.001), while large artery atherosclerosis (LAA) and cardioembolism (CE) were associated with the HARM-positive group (p = 0.001). Also, regional pattern of HARM on the same vascular territory as the acute infarction was dominantly demonstrated regardless of stroke etiology. The OR for HARM from middle cerebral artery (MCA) infarction was 1.868 [95% confidence interval (CI): 1.025-3.401]. The OR for HARM from cortical infarction was 9.475 (95% CI: 4.754-18.883) compared to other anatomic compartments. The presence of the HARM was significantly associated with embolic infarctions including LAA and CE. Conversely, SVO was exclusively associated with the absence of the HARM. Second, MCA and cortical infarction showed a more pronounced HARM compared to infarctions at other vascular territories and anatomic compartments. According to the results in the current study, we speculate that the presence of HARM on post-contrast FLAIR images was associated with specific stroke causes especially in embolic causes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Researcher 4 14%
Student > Doctoral Student 2 7%
Other 2 7%
Student > Postgraduate 2 7%
Other 5 18%
Unknown 8 29%
Readers by discipline Count As %
Medicine and Dentistry 13 46%
Neuroscience 3 11%
Agricultural and Biological Sciences 2 7%
Psychology 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 7 25%
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 30 November 2017.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Frontiers in Neurology
#8,928
of 11,904 outputs
Outputs of similar age
#373,533
of 438,545 outputs
Outputs of similar age from Frontiers in Neurology
#138
of 188 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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