Midline Shift Greater than 3 mm Independently Predicts Outcome After Ischemic Stroke.


Journal

Neurocritical care
ISSN: 1556-0961
Titre abrégé: Neurocrit Care
Pays: United States
ID NLM: 101156086

Informations de publication

Date de publication:
02 2022
Historique:
received: 04 06 2021
accepted: 24 08 2021
pubmed: 9 9 2021
medline: 4 3 2022
entrez: 8 9 2021
Statut: ppublish

Résumé

Cerebral edema is associated with worse outcome after acute stroke; however, the minimum clinically relevant threshold remains unknown. This study aimed to identify the minimal degree of midline shift (MLS) that predicts outcome in a cohort encompassing a broad range of patients with acute stroke. Patient-level data from six acute stroke clinical trials were combined with endovascular thrombectomy registries from two academic referral centers, generating a combined cohort of 1977 patients. MLS was extracted from the original trial data or measured on computed tomography or magnetic resonance imaging that was obtained a median of 47.0 h (interquartile range 27.0-75.1 h) after stroke onset. Logistic regression was performed to identify predictors of poor outcome and the minimal clinically relevant MLS threshold. The presence of MLS was a predictor of poor outcome, independent of baseline clinical and demographic factors (adjusted odds ratio 4.46, 95% confidence interval 3.56-5.59, p < 0.001). Examining the full range of MLS values identified, a value of greater than 3 mm was the critical threshold that significantly predicted poor outcome (adjusted odds ratio 3.20 [1.31-7.82], p = 0.011). These results show that the presence of MLS predicts poor outcome and, specifically, MLS value greater than 3 mm is an important threshold across a variety of clinical settings. These findings may have relevance for the design and interpretation of future trials for antiedema therapies.

Sections du résumé

BACKGROUND
Cerebral edema is associated with worse outcome after acute stroke; however, the minimum clinically relevant threshold remains unknown. This study aimed to identify the minimal degree of midline shift (MLS) that predicts outcome in a cohort encompassing a broad range of patients with acute stroke.
METHODS
Patient-level data from six acute stroke clinical trials were combined with endovascular thrombectomy registries from two academic referral centers, generating a combined cohort of 1977 patients. MLS was extracted from the original trial data or measured on computed tomography or magnetic resonance imaging that was obtained a median of 47.0 h (interquartile range 27.0-75.1 h) after stroke onset. Logistic regression was performed to identify predictors of poor outcome and the minimal clinically relevant MLS threshold.
RESULTS
The presence of MLS was a predictor of poor outcome, independent of baseline clinical and demographic factors (adjusted odds ratio 4.46, 95% confidence interval 3.56-5.59, p < 0.001). Examining the full range of MLS values identified, a value of greater than 3 mm was the critical threshold that significantly predicted poor outcome (adjusted odds ratio 3.20 [1.31-7.82], p = 0.011).
CONCLUSIONS
These results show that the presence of MLS predicts poor outcome and, specifically, MLS value greater than 3 mm is an important threshold across a variety of clinical settings. These findings may have relevance for the design and interpretation of future trials for antiedema therapies.

Identifiants

pubmed: 34494212
doi: 10.1007/s12028-021-01341-x
pii: 10.1007/s12028-021-01341-x
pmc: PMC8813904
mid: NIHMS1765968
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

46-51

Subventions

Organisme : NINDS NIH HHS
ID : K23 NS110980
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS112474
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS099209
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021. Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society.

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Auteurs

Morgan E McKeown (ME)

Division of Neurocritical Care, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.

Ayush Prasad (A)

Division of Neurocritical Care and Emergency Neurology, Yale New Haven Hospital, New Haven, CT, USA.

Jessica Kobsa (J)

Division of Neurocritical Care and Emergency Neurology, Yale New Haven Hospital, New Haven, CT, USA.

Ilayda Top (I)

Division of Neurocritical Care and Emergency Neurology, Yale New Haven Hospital, New Haven, CT, USA.

Samuel B Snider (SB)

Division of Neurocritical Care, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.

Chelsea Kidwell (C)

Division of Cerebrovascular Diseases and Stroke, University of Arizona, Tucson, AZ, USA.

Bruce C V Campbell (BCV)

Department of Medicine and Neurology, Melbourne Brain Center at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.

Stephen M Davis (SM)

Department of Medicine and Neurology, Melbourne Brain Center at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.

Geoffrey A Donnan (GA)

Department of Medicine and Neurology, Melbourne Brain Center at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.

Michael Lev (M)

Division of Emergency Radiology and Emergency Neuroradiology, Massachusetts General Hospital, Boston, MA, USA.

Kevin N Sheth (KN)

Division of Neurocritical Care and Emergency Neurology, Yale New Haven Hospital, New Haven, CT, USA.

Nils Petersen (N)

Division of Neurocritical Care and Emergency Neurology, Yale New Haven Hospital, New Haven, CT, USA.

W Taylor Kimberly (WT)

Division of Neurocritical Care, Massachusetts General Hospital, Boston, MA, USA.

Matthew B Bevers (MB)

Division of Neurocritical Care, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA. mbevers@bwh.harvard.edu.

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