Evidence map›Paper›PMID 30601840›Full record

ArticlePloS one2019

Prediction of functional outcome using the novel asymmetric middle cerebral artery index in cryptogenic stroke patients.

Minho Han, Young Dae Kim, Hyung Jong Park, In Gun Hwang, Junghye Choi, Jimin Ha, Ji Hoe Heo, Hyo Suk Nam

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Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Comparison of the Correlation Between Cerebral [Molecular imaging and biology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Minho HanDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Young Dae KimDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Hyung Jong ParkDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
In Gun HwangDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Junghye ChoiDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Jimin HaDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Ji Hoe HeoDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.
Hyo Suk NamDepartment of Neurology, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-4415-3995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEtiology is unknown in approximately one-quarter of stroke patients after evaluation, which is termed cryptogenic stroke (CS). The prognosis of CS patients is largely undetermined. We created a novel index from transcranial Doppler parameters including mean flow velocity (MV) and pulsatility index (PI) and investigated whether the calculation of asymmetry in the novel parameter can predict functional outcomes in CS patients.

methodsWe made the middle cerebral artery (MCA) index (%) as a novel parameter, which was calculated as 100 X (MCA MV + MCA PI X 10) / (MCA MV-MCA PI X 10). The MCA asymmetry index (%) was also calculated as 100 X (|Rt MCA index-Lt MCA index|) / (Rt MCA index + Lt MCA index) / 2. Poor functional outcomes were defined as modified Rankin Scale score (mRS) ≥3 at 3 months after stroke onset.

resultsA total of 377 CS patients were included. Among them, 52 (13.8%) patients had a poor outcome. The overall MCA asymmetry index was two-fold higher in CS patients with a poor outcome (10.26%) compared to those with a good outcome (5.41%, p = 0.002). In multivariable analysis, the overall MCA asymmetry index (OR, 1.054, 95% CI, 1.013-1.096, p = 0.009) and the cutoff value of the overall MCA asymmetry index >9 were associated with poor outcomes at 3 months (OR, 3.737, 95% CI, 1.530-9.128, p = 0.004).

conclusionWe demonstrated that the novel asymmetric MCA index can predict short-term functional outcomes in CS patients.

Indexed as

AgedBlood Flow VelocityFemaleHumansMaleMiddle AgedMiddle Cerebral ArteryProspective StudiesStrokeUltrasonography, Doppler, Transcranial

Identifiers

PMID30601840
PMCPMC6314577

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