Literature DB >> 28087807

Field Validation of the Los Angeles Motor Scale as a Tool for Paramedic Assessment of Stroke Severity.

Joon-Tae Kim1, Pil-Wook Chung1, Sidney Starkman1, Nerses Sanossian1, Samuel J Stratton1, Marc Eckstein1, Frank D Pratt1, Robin Conwit1, David S Liebeskind1, Latisha Sharma1, Lucas Restrepo1, May-Kim Tenser1, Miguel Valdes-Sueiras1, Jeffrey Gornbein1, Scott Hamilton1, Jeffrey L Saver2.   

Abstract

BACKGROUND AND
PURPOSE: The Los Angeles Motor Scale (LAMS) is a 3-item, 0- to 10-point motor stroke-deficit scale developed for prehospital use. We assessed the convergent, divergent, and predictive validity of the LAMS when performed by paramedics in the field at multiple sites in a large and diverse geographic region.
METHODS: We analyzed early assessment and outcome data prospectively gathered in the FAST-MAG trial (Field Administration of Stroke Therapy-Magnesium phase 3) among patients with acute cerebrovascular disease (cerebral ischemia and intracranial hemorrhage) within 2 hours of onset, transported by 315 ambulances to 60 receiving hospitals.
RESULTS: Among 1632 acute cerebrovascular disease patients (age 70±13 years, male 57.5%), time from onset to prehospital LAMS was median 30 minutes (interquartile range 20-50), onset to early postarrival (EPA) LAMS was 145 minutes (interquartile range 119-180), and onset to EPA National Institutes of Health Stroke Scale was 150 minutes (interquartile range 120-180). Between the prehospital and EPA assessments, LAMS scores were stable in 40.5%, improved in 37.6%, and worsened in 21.9%. In tests of convergent validity, against the EPA National Institutes of Health Stroke Scale, correlations were r=0.49 for the prehospital LAMS and r=0.89 for the EPA LAMS. Prehospital LAMS scores did diverge from the prehospital Glasgow Coma Scale, r=-0.22. Predictive accuracy (adjusted C statistics) for nondisabled 3-month outcome was as follows: prehospital LAMS, 0.76 (95% confidence interval 0.74-0.78); EPA LAMS, 0.85 (95% confidence interval 0.83-0.87); and EPA National Institutes of Health Stroke Scale, 0.87 (95% confidence interval 0.85-0.88).
CONCLUSIONS: In this multicenter, prospective, prehospital study, the LAMS showed good to excellent convergent, divergent, and predictive validity, further establishing it as a validated instrument to characterize stroke severity in the field.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  Los Angeles Motor Scale; field validation; paramedic assessment; prehospital stroke scale; stroke

Mesh:

Year:  2017        PMID: 28087807     DOI: 10.1161/STROKEAHA.116.015247

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  11 in total

1.  Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach.

Authors:  Christopher T Richards; Baiyang Wang; Eddie Markul; Frank Albarran; Doreen Rottman; Neelum T Aggarwal; Patricia Lindeman; Leslee Stein-Spencer; Joseph M Weber; Kenneth S Pearlman; Katie L Tataris; Jane L Holl; Diego Klabjan; Shyam Prabhakaran
Journal:  Prehosp Emerg Care       Date:  2017-06-29       Impact factor: 3.077

2.  Cincinnati Prehospital Stroke Scale Can Identify Large Vessel Occlusion Stroke.

Authors:  Christopher T Richards; Ryan Huebinger; Katie L Tataris; Joseph M Weber; Laura Eggers; Eddie Markul; Leslee Stein-Spencer; Kenneth S Pearlman; Jane L Holl; Shyam Prabhakaran
Journal:  Prehosp Emerg Care       Date:  2018-01-03       Impact factor: 3.077

Review 3.  Prehospital Prediction of Large Vessel Occlusion in Suspected Stroke Patients.

Authors:  Kevin J Keenan; Charles Kircher; Jason T McMullan
Journal:  Curr Atheroscler Rep       Date:  2018-05-21       Impact factor: 5.113

4.  Stroke Network of Wisconsin (SNOW) Scale Predicts Large Vessel Occlusion Stroke in the Prehospital Setting.

Authors:  Kessarin Panichpisal; Sarah Erpenbeck; Paul Vilar; Reji P Babygirija; Maharaj Singh; M Riccardo Colella; Richard A Rovin
Journal:  J Patient Cent Res Rev       Date:  2022-04-18

5.  Los Angeles Motor Scale to Identify Large Vessel Occlusion: Prehospital Validation and Comparison With Other Screens.

Authors:  Ali Reza Noorian; Nerses Sanossian; Kristina Shkirkova; David S Liebeskind; Marc Eckstein; Samuel J Stratton; Franklin D Pratt; Robin Conwit; Fiona Chatfield; Latisha K Sharma; Lucas Restrepo; Miguel Valdes-Sueiras; May Kim-Tenser; Sidney Starkman; Jeffrey L Saver
Journal:  Stroke       Date:  2018-02-19       Impact factor: 7.914

6.  Interactive Training of the Emergency Medical Services Improved Prehospital Stroke Recognition and Transport Time.

Authors:  Lukas Sveikata; Kazimieras Melaika; Adam Wiśniewski; Aleksandras Vilionskis; Kȩstutis Petrikonis; Edgaras Stankevičius; Kristaps Jurjans; Aleksandra Ekkert; Dalius Jatužis; Rytis Masiliūnas
Journal:  Front Neurol       Date:  2022-04-07       Impact factor: 4.086

7.  A Pilot Study Validating Video-Based Training on Pre-Hospital Stroke Recognition.

Authors:  Aliza Brown; Sanjeeva Onteddu; Rohan Sharma; Nidhi Kapoor; Krishna Nalleballe; Appathurai Balamurugan; Sukumar Gundapaneni; Nicolas Bianchi; Robert Skinner; William Culp
Journal:  J Neurol Neurosurg Psychiatry Res       Date:  2019-01-17

8.  Prehospital triage of patients with suspected stroke symptoms (PRESTO): protocol of a prospective observational study.

Authors:  Esmee Venema; Martijne H C Duvekot; Hester F Lingsma; Anouk D Rozeman; Walid Moudrous; Frederique H Vermeij; Marileen Biekart; Aad van der Lugt; Henk Kerkhoff; Diederik W J Dippel; Bob Roozenbeek
Journal:  BMJ Open       Date:  2019-07-09       Impact factor: 2.692

Review 9.  Different Stroke Scales; Which Scale or Scales Should Be Used?

Authors:  Shayan Alijanpour; Mostafa Mostafazdeh-Bora; Alijan Ahmadi Ahangar
Journal:  Caspian J Intern Med       Date:  2021

10.  Challenges Related to the Implementation of an EMS-Administered, Large Vessel Occlusion Stroke Score.

Authors:  Benjamin J Lawner; Kelly Szabo; Jonathan Daly; Krista Foster; Philip McCoy; David Poliner; Matthew Poremba; Philip S Nawrocki; Rahul Rahangdale
Journal:  West J Emerg Med       Date:  2019-10-21
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