National Institutes of Health Stroke Scale Correlates Well with Initial Intracerebral Hemorrhage Volume.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 01 12 2021
accepted: 23 01 2022
pubmed: 14 2 2022
medline: 25 3 2022
entrez: 13 2 2022
Statut: ppublish

Résumé

The US Centers for Medicare and Medicaid Services (CMS) currently publicly reports hospital-quality, risk-adjusted mortality measure for ischemic stroke but not intracerebral hemorrhage (ICH). The NIHSS, which is captured in CMS administrative claims data, is a candidate metric for use in ICH risk adjustment and has been shown to predict clinical outcome with accuracy similar to the ICH Score. Correlation between early NIHSS and initial ICH volume would further support use of the NIHSS for ICH risk adjustment. Among 372 ICH patients enrolled in a large multicenter trial (FAST-MAG), the relation between early NIHSS and early ICH volume was assessed with correlation and linear trend analysis. Overall, there was strong correlation between NIHSS and ICH volume, r = 0.77 (p < 0.001), and for every 10cc increase in ICH the NIHSS increased by 4.5 points. Correlation coefficients were comparable in all subgroups, but magnitude of NIHSS increase with ICH unit volume increase was greater with left than right hemispheric ICH, with presence rather than absence of IVH, with imaging done within the first hour than second hour after last known well, with men than women, and with younger than older patients. Early NIHSS neurologic deficit severity values correlate strongly with initial ICH hematoma volume. As with ischemic stroke, lesion volume increases produce greater NIHSS change in the left than right hemisphere, reflecting greater NIHSS sensitivity to left hemisphere function. These findings provide further support for the use of NIHSS in risk-adjusted mortality measures for intracerebral hemorrhage.

Identifiants

pubmed: 35152129
pii: S1052-3057(22)00045-3
doi: 10.1016/j.jstrokecerebrovasdis.2022.106348
pii:
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

106348

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None

Auteurs

Salman Farooq (S)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095. Electronic address: salmanfarooq196@gmail.com.

Kristina Shkirkova (K)

Keck School of Medicine of USC, United States.

Pablo Villablanca (P)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095.

Nerses Sanossian (N)

Keck School of Medicine of USC, United States.

David S Liebeskind (DS)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095.

Sidney Starkman (S)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095.

Gilda Avila (G)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095.

Latisha Sharma (L)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095.

May Kim-Tenser (M)

Keck School of Medicine of USC, United States.

Suzie Gasparian (S)

Loma Linda University, United States.

Marc Eckstein (M)

Keck School of Medicine of USC, United States.

Robin Conwit (R)

NINDS/NIH, United States.

Scott Hamilton (S)

Stanford University Medical School, United States.

Jeffrey L Saver (JL)

710 Westwood Plaza, Department of Vascular Neurology, UCLA Medical Center, Los Angeles, CA 90095.

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Classifications MeSH