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The Los Angeles Motor Scale (LAMS) as a Prehospital Triage Tool for Patients with Suspected Large Cerebral Artery Occlusion

https://doi.org/10.52420/umj.24.3.46

EDN: DVDUCT

Abstract

Introduction. Routing patients with large cerebral artery occlusions to specialized centers is a critical aspect of stroke care, improving clinical outcomes after thrombectomy (TE). Clinical scales, such as the Los Angeles Motor Scale (LAMS), are the most accessible prehospital screening tools for patients selection for endovascular centers, but their real-world effectiveness requires validation.

The aim of the study — to evaluate the diagnostic accuracy of the LAMS for detecting acute large cerebral vessels occlusions (LVO) within the Moscow stroke network.

Materials and methods. The study included 336 patients with suspected stroke assessed by emergency medical services (EMS) using LAMS. LVO were confirmed in-hospital via CT angiography. Sensitivity and specificity were calculated for LAMS thresholds of 4–5 points, accompanied by ROC analysis. Retrospective LAMS scoring based on initial neurological examination was also analyzed.

Results. Sensitivity and specificity of LAMS were 50.47 % and 76.86 %, respectively. Performance varied with time since symptoms onset: <2 hours — 41.51 % and 63.53 %; 2–6 hours — 57.14 % and 81.94 %; >6 hours — 61.54 % and 87.50 %. Retrospective LAMS assessment based on in-hospital neurological examination had 72.90 % sensitivity and 77.73 % specificity. ROC analysis revealed higher predictive value for retrospective scoring (AUC = 0.80; 95 % CI — 0.75–0.85) compared to prehospital assessment (AUC = 0.67; 95 % CI — 0.61–0.73).

Conclusion. LAMS can identify patients at high risk of LVO, but its accuracy is limited within the first two hours after symptoms onset. Low early sensitivity necessitates adjustments to routing algorithms. Discrepancies between prehospital and retrospective in-hospital assessments may indicate the advisability of targeted training programs for EMS physicians to optimize LAMS application.

About the Authors

K. V. Anisimov
I.V. Davydovsky City Clinical Hospital; Federal Center for Brain and Neurotechnology
Russian Federation

Kirill V. Anisimov — Candidate of Sciences (Medicine), Endovascular Radiologist, I.V. Davydovsky City Clinical Hospital; Neurologist, Researcher of the Federal Center of Brain Research and Neurotechnologies.

Moscow


Competing Interests:

None



S. S. Galkin
Pirogov Russian National Research Medical University
Russian Federation

Sergey S. Galkin — Candidate of Sciences (Medicine), Assistant of the Department of Neurology, Neurosurgery and Medical Genetics, Institute of Neuroscience and Neurotechnology, Pirogov Russian National Research Medical University.

Moscow


Competing Interests:

None



N. H. Gorst
I.V. Davydovsky City Clinical Hospital
Russian Federation

Nadezhda H. Gorst — Neurologist, Head of the Neurology Department, I.V. Davydovsky City Clinical Hospital.

Moscow


Competing Interests:

None



A. V. Kostin
I.V. Davydovsky City Clinical Hospital; Russian University of Medicine; Research Institute for Healthcare and Medical Management
Russian Federation

Andrei V. Kostin — Endovascular Radiologist, I.V. Davydovsky City Clinical Hospital; Assistant of the Department of Cardiology, Russian University of Medicine; Head of the Organizational and Methodological Department for Endovascular Diagnostics and Treatment, Research Institute for Healthcare Organization and Medical Management.

Moscow


Competing Interests:

None



T. V. Kiseleva
Federal Center for Brain and Neurotechnology; Research Institute for Healthcare and Medical Management
Russian Federation

Tatiana V. Kiseleva — Researcher of the Federal Center of Brain Research and Neurotechnologies; Specialist of the Organizational and Methodological Department of Neurology, Research Institute for Healthcare Organization and Medical Management.

Moscow


Competing Interests:

None



N. A. Marskaia
Federal Center for Brain and Neurotechnology
Russian Federation

Natalia A. Marskaia — Researcher of the Federal Center of Brain Research and Neurotechnologies.

Moscow


Competing Interests:

None



S. P. Grachev
I.V. Davydovsky City Clinical Hospital; Russian University of Medicine
Russian Federation

Sergei P. Grachev — Doctor of Sciences (Medicine), Professor, Head of the Stroke Intensive Care Unit, I.V. Davydovsky City Clinical Hospital; Professor of the Department of Cardiolody, Russian University of Medicine.

Moscow


Competing Interests:

None



A. V. Anisimova
Pirogov Russian National Research Medical University
Russian Federation

Anastasia V. Anisimova — Doctor of Sciences (Medicine), Professor, Professor of the Department of Neurology, Neurosurgery and Medical Genetics, Institute of Neuroscience and Neurotechnology, Pirogov Russian National Research Medical University.

Moscow


Competing Interests:

None



D. V. Skrypnik
I.V. Davydovsky City Clinical Hospital; Russian University of Medicine
Russian Federation

Dmitry V. Skrypnik — Doctor of Sciences (Medicine), Professor, Head of the Endovascular Department, I.V. Davydovsky City Clinical Hospital; Head of the Cardiology Department, Russian University of Medicine.

Moscow


Competing Interests:

None



N. A. Shamalov
Federal Center for Brain and Neurotechnology
Russian Federation

Nikolay A. Shamalov — Doctor of Sciences (Medicine), Professor, Director of the Institute of Cerebrovascular Pathology and Stroke, Federal Center of Brain Research and Neurotechnologies.

Moscow


Competing Interests:

None



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Review

For citations:


Anisimov KV, Galkin SS, Gorst NH, Kostin AV, Kiseleva TV, Marskaia NA, Grachev SP, Anisimova AV, Skrypnik DV, Shamalov NA. The Los Angeles Motor Scale (LAMS) as a Prehospital Triage Tool for Patients with Suspected Large Cerebral Artery Occlusion. Ural Medical Journal. 2025;24(3):46–62. (In Russ.) https://doi.org/10.52420/umj.24.3.46. EDN: DVDUCT

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ISSN 2071-5943 (Print)
ISSN 2949-4389 (Online)