Impaired Distal Perfusion Predicts Length of Hospital Stay in Patients with Symptomatic Middle Cerebral Artery Stenosis.


Journal

Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705

Informations de publication

Date de publication:
05 2021
Historique:
revised: 18 01 2021
received: 04 12 2020
accepted: 20 01 2021
pubmed: 11 2 2021
medline: 15 7 2021
entrez: 10 2 2021
Statut: ppublish

Résumé

Perfusion imaging can risk stratify patients with symptomatic intracranial stenosis. We aim to determine the association between perfusion delay and length of hospital stay (LOS) in symptomatic middle cerebral artery (MCA) stenosis patients. This is a retrospective study of consecutive patients admitted to a comprehensive stroke center over 5 years with ischemic stroke or transient ischemic attack (TIA) within 7 days of symptom onset due to MCA stenosis (50-99%) and underwent perfusion imaging. Patients were divided into three groups: mismatch volume ≥ 15 cc based on T max > 6 second delay, T max 4-6 second delay, and <4 second delay. The outcome was LOS, both as a continuous variable and categorical (≥7 days [prolonged LOS] vs. <7 days). We used adjusted regression analyses to determine the association between perfusion categories and LOS. One hundred and seventy eight of 194 patients met the inclusion criteria. After adjusting for age and NIHSS, T max >6 second mismatch was associated with prolonged LOS (OR 2.94 95% CI 1.06-8.18; P = .039), but T max 4-6 second was not (OR 1.45 95% CI .46-4.58, P = .528). We found similar associations when LOS was a continuous variable for T max > 6 second (β coefficient = 2.01, 95% CI .05-3.97, P = .044) and T max 4-6 second (β coefficient = 1.24, 95% CI -.85 to 3.34, P = .244). In patients with symptomatic MCA stenosis, T max > 6 second perfusion delay is associated with prolonged LOS. Prospective studies are needed to validate our findings.

Sections du résumé

BACKGROUND AND PURPOSE
Perfusion imaging can risk stratify patients with symptomatic intracranial stenosis. We aim to determine the association between perfusion delay and length of hospital stay (LOS) in symptomatic middle cerebral artery (MCA) stenosis patients.
METHODS
This is a retrospective study of consecutive patients admitted to a comprehensive stroke center over 5 years with ischemic stroke or transient ischemic attack (TIA) within 7 days of symptom onset due to MCA stenosis (50-99%) and underwent perfusion imaging. Patients were divided into three groups: mismatch volume ≥ 15 cc based on T max > 6 second delay, T max 4-6 second delay, and <4 second delay. The outcome was LOS, both as a continuous variable and categorical (≥7 days [prolonged LOS] vs. <7 days). We used adjusted regression analyses to determine the association between perfusion categories and LOS.
RESULTS
One hundred and seventy eight of 194 patients met the inclusion criteria. After adjusting for age and NIHSS, T max >6 second mismatch was associated with prolonged LOS (OR 2.94 95% CI 1.06-8.18; P = .039), but T max 4-6 second was not (OR 1.45 95% CI .46-4.58, P = .528). We found similar associations when LOS was a continuous variable for T max > 6 second (β coefficient = 2.01, 95% CI .05-3.97, P = .044) and T max 4-6 second (β coefficient = 1.24, 95% CI -.85 to 3.34, P = .244).
CONCLUSION
In patients with symptomatic MCA stenosis, T max > 6 second perfusion delay is associated with prolonged LOS. Prospective studies are needed to validate our findings.

Identifiants

pubmed: 33565162
doi: 10.1111/jon.12839
pmc: PMC8119309
mid: NIHMS1665851
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

475-479

Subventions

Organisme : NINDS NIH HHS
ID : K23 NS105924
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS084288
Pays : United States

Informations de copyright

© 2021 American Society of Neuroimaging.

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Auteurs

Shadi Yaghi (S)

Department of Neurology, NYU Langone Health, New York, NY.

Adam de Havenon (A)

Department of Neurology, University of Utah, Salt Lake City, UT.

Tristan Honda (T)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

Jason D Hinman (JD)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

Radoslav Raychev (R)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

Latisha K Sharma (LK)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

Song Kim (S)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

Edward Feldmann (E)

Department of Neurology, University of Massachusetts Medical School, Baystate, MA.

Jose G Romano (JG)

Department of Neurology, University of Miami, Miami, FL.

Shyam Prabhakaran (S)

Department of Neurology, University of Chicago, Chicago, IL.

David S Liebeskind (DS)

Department of Neurology, University of California at Los Angeles, Los Angeles, CA.

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