The Los Angeles Motor Scale is independently associated with cerebral blood flow < 30% volume in large vessel occlusions
Background and PurposeMechanical thrombectomy (MT) is the treatment standard for large vessel occlusion (LVO) stroke. Under current guidelines, only patients with smaller ischemic core volumes (ICV) are eligible for MT. Thus, it is of interest to quickly estimate ICV in stroke patients. The Los Angeles Motor Scale (LAMS) is a validated tool used to assess stroke severity directly in the field. This study aims to determine whether LAMS score is also associated with ICV, as defined by the CBF <30% volume on CT perfusion imaging.MethodsWe performed a retrospective, multicenter cohort study of consecutive patients presenting with LVO stroke from 9/1/2017 to 10/1/2023. The inclusion criteria were patients with (1) stroke caused by large vessel occlusion confirmed on CTA and (2) diagnostically adequate, multimodal pretreatment CT imaging. Demographic, clinical, and imaging data was collected through manual chart review. Both univariate and multivariate analyses were applied to assess associations. A <i>p</i>-value <.05 was considered significant.ResultsA total of 283 patients (median age: 69, IQR: 61-78) were included in the study. On multivariate logistic regression analysis, we found that lower admission LAMS score (adjusted OR: 0.511, 95% CI: 0.313-0.834, <i>p</i> = .007) was independently associated with a CBF <30% volume of less than 50cc.ConclusionsAdmission LAMS is an independent predictor of a CBF <30% volume of less than 50cc. This demonstrates that LAMS can be used to estimate ICV, which will aid in the early triaging of LVO patients to thrombectomy-capable centers.
Authors
- Meisam Hoseinyazdi (ORCID: https://orcid.org/0000-0002-4051-2946)
- Argye E. Hillis (ORCID: https://orcid.org/0000-0002-5192-1171)
- Risheng Xu (ORCID: https://orcid.org/0000-0003-4288-1232)
- Tobias Djamsched Faizy (ORCID: https://orcid.org/0000-0002-1631-2020)
- Hanzhang Lu (ORCID: https://orcid.org/0000-0003-3871-1564)
- Judy Huang (ORCID: https://orcid.org/0000-0002-0675-1935)
- Kevin Chen (ORCID: https://orcid.org/0009-0007-5209-0262)
- Dhairya A. Lakhani (ORCID: https://orcid.org/0000-0001-7577-1887)
- Kambiz Nael (ORCID: https://orcid.org/0000-0002-4194-9488)
- Janet Mei (ORCID: https://orcid.org/0000-0003-4184-8924)
- Mehreen Nabi
- Aneri Balar (ORCID: https://orcid.org/0000-0002-3592-708X)
- Victor Urrutia (ORCID: https://orcid.org/0000-0002-4995-6949)
- Manisha Koneru (ORCID: https://orcid.org/0000-0001-5012-6793)
- Vivek Srikar Yedavalli (ORCID: https://orcid.org/0000-0002-2450-4014)
- Licia Luna (ORCID: https://orcid.org/0000-0003-3539-4831)
- Nathan Z. Hyson (ORCID: https://orcid.org/0009-0003-2758-3402)
- Andrew Cho (ORCID: https://orcid.org/0000-0001-9109-2294)
- Richard Wang (ORCID: https://orcid.org/0000-0003-3442-0559)
- Ishan Mazumdar
- Sadra Sepehri
Institutions
- West Virginia University (US)
- Johns Hopkins University (US)
- University of California, San Francisco (US)
- Johns Hopkins Medicine (US)
- Cooper Medical School of Rowan University (US)
- Blanchette Rockefeller Neurosciences Institute (US)
- University Hospital Münster (DE)
Publication Details
- Journal
- The Neuroradiology Journal
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1177/19714009241303140
- Citations
- 2
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- Johns Hopkins University