Prehospital stroke scales in urban environments: A systematic review

Neurology

Volumn 82, Issue 24, 2014, Pages 2241-2249

  Brandler, Ethan S ^a,b   Sharma, Mohit ^a   Sinert, Richard H ^a   Levine, Steven R ^a  

^a KINGS COUNTY HOSPITAL CENTER   (United States)

^b SUNY DOWNSTATE MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CEREBROVASCULAR ACCIDENT; CINCINNATI PREHOSPITAL STROKE SCALE; CONFIDENCE INTERVAL; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FACE ARM SPEECH TEST; HUMAN; LOS ANGELES PREHOSPITAL STROKE SCREEN; MEDIC PREHOSPITAL ASSESSMENT FOR CODE STROKE; MELBOURNE AMBULANCE STROKE SCREEN; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; ONTARIO PREHOSPITAL STROKE SCREENING TOOL; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RECOGNITION OF STROKE IN THE EMERGENCY ROOM; REVIEW; SYSTEMATIC REVIEW; URBAN AREA;

DATABASES, FACTUAL; HUMANS; SEVERITY OF ILLNESS INDEX; STROKE; URBAN POPULATION;

EID: 84903955223     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0000000000000523     Document Type: Review

References (34)

1. Bae HJ, Kim DH, Yoo NT, et al. Prehospital notification from the emergency medical service reduces the transfer and intra-hospital processing times for acute stroke patients. J Clin Neurol 2010;6: 138-142.
2. Abdullah AR, Smith EE, Biddinger PD, Kalenderian D, Schwamm LH. Advance hospital notification by EMS in acute stroke is associated with shorter door-to-computed tomography time and increased likelihood of administration of tissue-plasminogen activator. Prehosp Emerg Care 2008;12: 426-431.
3. Fonarow GC, Smith EE, Saver JL, et al. Improving door-toneedle times in acute ischemic stroke: the design and rationale for the American Heart Association/American Stroke Association's Target: stroke initiative. Stroke 2011;42: 2983-2989.
4. Lin CB, Peterson ED, Smith EE, et al. Emergency medical service hospital prenotification is associated with improved evaluation and treatment of acute ischemic stroke. Circ Cardiovasc Qual Outcomes 2012;5: 514-522.
5. Tirschwell DL, Longstreth WT Jr, Becker KJ, et al. Shortening the NIH Stroke scale for use in the prehospital setting. Stroke 2002;33: 2801-2806.
6. Jauch EC, Saver JL, Adams HP Jr, et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2013;44: 870-947.
7. Zamora J, Abraira V, Muriel A, Khan KS, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006;6: 31.
8. Higgins JP. Commentary: heterogeneity in meta-analysis should be expected and appropriately quantified. Int J Epidemiol 2008;37: 1158-1160.
9. Tang L, Zhao S, Liu W, et al. Diagnostic accuracy of circulating tumor cells detection in gastric cancer: systematic review and meta-analysis. BMC Cancer 2013;13: 314.
10. Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011;155: 529-536.
11. Kidwell CS, Starkman S, Eckstein M, Weems K, Saver JL. Identifying stroke in the field: prospective validation of the Los Angeles Prehospital Stroke Screen (LAPSS). Stroke 2000;31: 71-76.
12. Wojner-Alexandrov AW, Alexandrov AV, Rodriguez D, et al. Houston paramedic and emergency stroke treatment and outcomes study (HoPSTO). Stroke 2005;36: 1512-1518.
13. Bray JE, Martin J, Cooper G, Barger B, Bernard S, Bladin C. Paramedic identification of stroke: community validation of the Melbourne Ambulance Stroke Screen. Cerebrovasc Dis 2005;20: 28-33.
14. Bray JE, Coughlan K, Barger B, Bladin C. Paramedic diagnosis of stroke: examining long-term use of the Melbourne Ambulance Stroke Screen (MASS) in the field. Stroke 2010;41: 1363-1366.
15. Studnek JR, Asimos A, Dodds J, Swanson D. Assessing the validity of the Cincinnati Prehospital Stroke Scale and the Medic Prehospital Assessment For Code Stroke in an urban emergency medical services agency. Prehosp Emerg Care 2013;17: 348-353.
16. Chenkin J, Gladstone DJ, Verbeek PR, et al. Predictive value of the Ontario prehospital stroke screening tool for the identification of patients with acute stroke. Prehosp Emerg Care 2009;13: 153-159.
17. Chen S, Sun H, Lei Y, et al. Validation of the Los Angeles Pre-Hospital Stroke Screen (LAPSS) in a Chinese urban emergency medical service population. PLoS One 2013;8: e70742.
18. Fothergill RT, Williams J, Edwards MJ, Russell IT, Gompertz P. Does use of the recognition of stroke in the emergency room stroke assessment tool enhance stroke recognition by ambulance clinicians? Stroke 2013;44: 3007-3012.
19. Iguchi Y, Kimura K, Watanabe M, Shibazaki K, Aoki J. Utility of the Kurashiki Prehospital Stroke Scale for hyperacute stroke. Cerebrovasc Dis 2011;31: 51-56.
20. Llanes JN, Kidwell CS, Starkman S, Leary MC, Eckstein M, Saver JL. The Los Angeles Motor Scale (LAMS): a new measure to characterize stroke severity in the field. Prehosp Emerg Care 2004;8: 46-50.
21. Bergs J, Sabbe M, Moons P. Prehospital stroke scales in a Belgian prehospital setting: a pilot study. Eur J Emerg Med 2010;17: 2-6.
22. Frendl DM, Strauss DG, Underhill BK, Goldstein LB. Lack of impact of paramedic training and use of the Cincinnati Prehospital Stroke Scale on stroke patient identification and on-scene time. Stroke 2009;40: 754-756.
23. Harbison J, Hossain O, Jenkinson D, Davis J, Louw SJ, Ford GA. Diagnostic accuracy of stroke referrals from primary care, emergency room physicians, and ambulance staff using the face arm speech test. Stroke 2003;34: 71-76.
24. Nor AM, McAllister C, Louw SJ, et al. Agreement between ambulance paramedic-and physician-recorded neurological signs with Face Arm Speech Test (FAST) in acute stroke patients. Stroke 2004;35: 1355-1359.
25. Ramanujam P, Guluma KZ, Castillo EM, et al. Accuracy of stroke recognition by emergency medical dispatchers and paramedics: San Diego experience. Prehosp Emerg Care 2008;12: 307-313.
26. City of Melbourne 2006 multicultural community demographic profile. Available at: http://www.melbourne.vic. gov.au/AboutMelbourne/Statistics/ Documents/Demographic-Profile1-Multicultural-Community.pdf. Accessed June 21, 2013.
27. United States Census Bureau. State and County Quick Facts, Houston city. Available at: http://quickfacts.census.gov/qfd/states/48/4835000.html. Accessed August 21, 2013.
28. United States Census Bureau. State and County Quick Facts, Los Angeles County. Available at: http://quickfacts.census. gov/qfd/states/06/06037.html. Accessed June 21, 2013.
29. United States Census Bureau. State and County Quick Facts, Mecklenburg County, North Carolina. Available at: http://quickfacts.census.gov/qfd/states/ 37/37119.html. Accessed June 21, 2013.
30. Population by selected ethnic origins, by province and territory (2006 Census) (Ontario). Available at: http://www.statcan.gc.ca/tables-tableaux/sum- som/l01/cst01/demo26g-eng.htm. Accessed September 12, 2013.
31. Basic statistics on population census (200 Census) (Beijing). Available at: http://www.ebeijing.gov.cn/feature-2/Statistics/Population/t1071366.htm. Accessed October 2, 2013.
32. Census data for London. Available at: http://data.london. gov.uk/census/data. Accessed October 2, 2013.
33. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33: 159-174.
34. Brandler ES, Sharma M, Khandelwal P, et al. Identification of common confounders in the prehospital identification of stroke in urban, underserved minorities. Stroke 2013;44: AWP243. Abstract.