Literature DB >> 26553585

Patient characteristics affecting stroke identification by emergency medical service providers in Brooklyn, New York.

Mohit Sharma1, Elizabeth Helzner2, Richard Sinert3, Steven Richard Levine4,5, Ethan Samuel Brandler6.   

Abstract

Early identification of stroke should begin in the prehospital phase because the benefits of thrombolysis and clot extraction are time dependent. This study aims to identify patient characteristics that affect prehospital identification of stroke by Long Island college hospital (LICH) emergency medical services (EMS). All suspected strokes brought to LICH by LICH ambulances from January 1, 2010 to December 31, 2011 were included in the study. We compared prehospital care report-based diagnosis against the get with the guidelines (GWTG) database. Age-adjusted logistic regression models were used to study that the effect of individual patient characteristics have on EMS providers' diagnosis. Included in the study were 10,384 patients with mean age 43.9 years. Of whom, 75 had a GWTG cerebrovascular diagnosis: 53 were ischemic strokes, 7 transient ischemic attacks, 3 subarachnoid hemorrhage, and 12 intercerebral bleeds. LICH EMS correctly identified 44 of 75 GWTG strokes. Fifty-one patients were overcalled as stroke by the EMS. Overall EMS sensitivity was 58.7 % and specificity was 99.5 %. Dispatcher call type of altered mental status, stroke, unconsciousness, and increasing prehospital blood pressure quartile were found to be significantly predictive of a true stroke diagnosis. Patients with a past medical history and EMS providers' impression of seizures were more likely to be overcalled as a stroke in the field. More than a third of actual stroke patients were missed in the field in our study. Our results show that the patients' past medical history, dispatcher collected information and prehospital vital sign measurements are associated with a true diagnosis of stroke.

Entities:  

Keywords:  Ambulance; Emergency medical services; Prehospital; Stroke

Mesh:

Year:  2015        PMID: 26553585     DOI: 10.1007/s11739-015-1347-9

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  21 in total

Review 1.  Prehospital stroke scales in urban environments: a systematic review.

Authors:  Ethan S Brandler; Mohit Sharma; Richard H Sinert; Steven R Levine
Journal:  Neurology       Date:  2014-05-21       Impact factor: 9.910

Review 2.  Barriers to the utilization of thrombolysis for acute ischaemic stroke.

Authors:  A Eissa; I Krass; B V Bajorek
Journal:  J Clin Pharm Ther       Date:  2012-03-04       Impact factor: 2.512

3.  Identifying stroke in the field. Prospective validation of the Los Angeles prehospital stroke screen (LAPSS).

Authors:  C S Kidwell; S Starkman; M Eckstein; K Weems; J L Saver
Journal:  Stroke       Date:  2000-01       Impact factor: 7.914

4.  Prehospital notification by emergency medical services reduces delays in stroke evaluation: findings from the North Carolina stroke care collaborative.

Authors:  Mehul D Patel; Kathryn M Rose; Emily C O'Brien; Wayne D Rosamond
Journal:  Stroke       Date:  2011-06-09       Impact factor: 7.914

Review 5.  Prehospital care of the acute stroke patient.

Authors:  Venkatakrishna Rajajee; Jeffrey Saver
Journal:  Tech Vasc Interv Radiol       Date:  2005-06

6.  Paramedic identification of stroke: community validation of the melbourne ambulance stroke screen.

Authors:  Janet E Bray; Jenepher Martin; Greg Cooper; Bill Barger; Stephen Bernard; Christopher Bladin
Journal:  Cerebrovasc Dis       Date:  2005-06-02       Impact factor: 2.762

7.  Prehospital notification from the emergency medical service reduces the transfer and intra-hospital processing times for acute stroke patients.

Authors:  Hyo-Jin Bae; Dae-Hyun Kim; Nam-Tae Yoo; Jae Hyung Choi; Jae-Taeck Huh; Jae-Kwan Cha; Sung Kwun Kim; Jeom Sig Choi; Jae Woo Kim
Journal:  J Clin Neurol       Date:  2010-10-01       Impact factor: 3.077

8.  Preventing stroke: saving lives around the world.

Authors:  Kathleen Strong; Colin Mathers; Ruth Bonita
Journal:  Lancet Neurol       Date:  2007-02       Impact factor: 44.182

9.  Accuracy of stroke recognition by emergency medical dispatchers and paramedics--San Diego experience.

Authors:  Prasanthi Ramanujam; Kama Z Guluma; Edward M Castillo; Marcus Chacon; Matt B Jensen; Ekta Patel; William Linnick; James V Dunford
Journal:  Prehosp Emerg Care       Date:  2008 Jul-Sep       Impact factor: 3.077

10.  Lack of impact of paramedic training and use of the cincinnati prehospital stroke scale on stroke patient identification and on-scene time.

Authors:  Daniel M Frendl; David G Strauss; B Kevin Underhill; Larry B Goldstein
Journal:  Stroke       Date:  2008-12-31       Impact factor: 7.914

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  3 in total

1.  Vertigo: Dr Jekyll or Mr Hyde? A video tutorial for assessment of nystagmus in the emergency room.

Authors:  Simone Vanni; Paolo Vannucchi; Pietro Amedeo Modesti
Journal:  Intern Emerg Med       Date:  2016-09-20       Impact factor: 3.397

2.  Factors Affecting Pre-Hospital and In-Hospital Delays in Treatment of Ischemic Stroke; a Prospective Cohort Study.

Authors:  Neda Ghadimi; Nasrin Hanifi; Mohammadreza Dinmohammadi
Journal:  Arch Acad Emerg Med       Date:  2021-07-24

Review 3.  The American Heart Association's Get With the Guidelines (GWTG)-Stroke development and impact on stroke care.

Authors:  Cora H Ormseth; Kevin N Sheth; Jeffrey L Saver; Gregg C Fonarow; Lee H Schwamm
Journal:  Stroke Vasc Neurol       Date:  2017-05-29
  3 in total

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