Prehospital Notification from the Emergency Medical Service Reduces the Transfer and Intra-Hospital Processing Times for Acute Stroke Patients

被引:50
|
作者
Bae, Hyo-Jin [1 ]
Kim, Dae-Hyun [1 ]
Yoo, Nam-Tae [2 ]
Choi, Jae Hyung [1 ]
Huh, Jae-Taeck [1 ]
Cha, Jae-Kwan [1 ]
Kim, Sung Kwun [3 ]
Choi, Jeom Sig [3 ]
Kim, Jae Woo [1 ]
机构
[1] Dong A Univ Hosp, Busan Ulsan Reg Cardiocerebral Vasc Ctr, Pusan 607020, South Korea
[2] Samsung Changwon Hosp, Dept Neurol, Chang Won, South Korea
[3] Busan Med Informat Ctr, Pusan, South Korea
来源
JOURNAL OF CLINICAL NEUROLOGY | 2010年 / 6卷 / 03期
关键词
stroke; thrombolysis; prehospital notification; stroke care system; TISSUE-PLASMINOGEN ACTIVATOR; ACUTE ISCHEMIC-STROKE; 1ST YEAR; DELAY; CARE; FEASIBILITY; EFFICACY; OUTCOMES; SYSTEM;
D O I
10.3988/jcn.2010.6.3.138
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose There is little information available about the effects of Emergency Medical Service (EMS) hospital notification on transfer and intrahospital processing times in cases of acute ischemic stroke. Methods This study retrospectively investigated the real transfer and imaging processing times for cases of suspected acute stroke (AS) with EMS notification of a requirement for intravenous (IV) tissue-type plasminogen activator (t-PA) and for cases without notification. Also we compared the intra-hospital processing times for receiving t-PA between patients with and without EMS prehospital notification. Results Between December 2008 and August 2009, the EMS transported 102 patients with suspected AS to our stroke center. During the same period, 33 patients received IV t-PA without prehospital notification from the EMS. The mean real transfer time after the EMS call was 56.0 +/- 32.0 min. Patients with a transfer distance of more than 40 km could not be transported to our center within 60 min. Among the 102 patients, 55 were transferred via the EMS to our emergency room for IV t-PA. The positive predictive value for stroke (90.9% vs. 68.1%, p=0.005) was much higher and the real transfer time was much faster in patients with an EMS t-PA call (47.7 +/- 23.1 min, p=0.004) than in those without one (56.3 +/- 32.4 min). The door-to-imaging time (17.8 +/- 11.0 min vs. 26.9 +/- 11.5 min, p=0.01) and door-to-needle time (29.7 +/- 9.6 min vs. 42.1 +/- 18.1 min, p=0.01) were significantly shorter in the 18 patients for whom there was prehospital notification and who ultimately received t-PA than in those for whom there was no prehospital notification. Conclusions Our results indicate that prehospital notification could enable the rapid dispatch of AS patients needing IV t-PA to a stroke centre. In addition, it could reduce intrahospital delays, particularly, imaging processing times. J Clin Neurol 2010;6:138-142
引用
下载
收藏
页码:138 / 142
页数:5
相关论文
共 50 条
  • [1] Prehospital notification from EMS enhances the shortening of transfer and intra-hospital processing times for acute stroke patients
    Cha, J. K.
    Lee, S. Y.
    JOURNAL OF NEUROLOGY, 2010, 257 : S198 - S198
  • [2] Intra-hospital delays in stroke patients treated with rt-PA: impact of pre-admission notification to the emergency medical system and to the neurologists
    Casolla, B.
    Bodenant, M.
    Girot, M.
    Cordonnier, C.
    Pruvo, J. -P.
    Wiel, E.
    Leys, D.
    Goldstein, P.
    EUROPEAN JOURNAL OF NEUROLOGY, 2012, 19 : 158 - 158
  • [3] Prehospital Notification by Emergency Medical Services Reduces Delays in Stroke Evaluation Findings From the North Carolina Stroke Care Collaborative
    Patel, Mehul D.
    Rose, Kathryn M.
    O'Brien, Emily C.
    Rosamond, Wayne D.
    STROKE, 2011, 42 (08) : 2263 - U367
  • [4] Intra-hospital delays in stroke patients treated with rt-PA: impact of preadmission notification
    Barbara Casolla
    Marie Bodenant
    Marie Girot
    Charlotte Cordonnier
    Jean-Pierre Pruvo
    Eric Wiel
    Didier Leys
    Patrick Goldstein
    Journal of Neurology, 2013, 260 : 635 - 639
  • [5] Intra-hospital delays in stroke patients treated with rt-PA: impact of preadmission notification
    Casolla, Barbara
    Bodenant, Marie
    Girot, Marie
    Cordonnier, Charlotte
    Pruvo, Jean-Pierre
    Wiel, Eric
    Leys, Didier
    Goldstein, Patrick
    JOURNAL OF NEUROLOGY, 2013, 260 (02) : 635 - 639
  • [6] Prehospital and intra-hospital time delays in posterior circulation stroke: results from the Austrian Stroke Unit Registry
    Peter Sommer
    Leonhard Seyfang
    Alexandra Posekany
    Julia Ferrari
    Wilfried Lang
    Elisabeth Fertl
    Wolfgang Serles
    Thomas Töll
    Stefan Kiechl
    Stefan Greisenegger
    Journal of Neurology, 2017, 264 : 131 - 138
  • [7] Prehospital and intra-hospital time delays in posterior circulation stroke: results from the Austrian Stroke Unit Registry
    Sommer, Peter
    Seyfang, Leonhard
    Posekany, Alexandra
    Ferrari, Julia
    Lang, Wilfried
    Fertl, Elisabeth
    Serles, Wolfgang
    Toell, Thomas
    Kiechl, Stefan
    Greisenegger, Stefan
    JOURNAL OF NEUROLOGY, 2017, 264 (01) : 131 - 138
  • [8] Uncooperative patients suspected of acute stroke ineligible for prehospital stroke screening test by emergency medical service providers: final hospital diagnoses and characteristics
    Han, Sol
    Song, Sung Wook
    Hong, Hansol
    Kim, Woo Jeong
    Kang, Young Joon
    Park, Chang Bae
    Kang, Jeong Ho
    Bu, Ji Hwan
    Lee, Sung Kgun
    Ko, Seo Young
    Lee, Soo Hoon
    Kang, Chul-Hoo
    CLINICAL AND EXPERIMENTAL EMERGENCY MEDICINE, 2023, 10 (02): : 213 - 223
  • [9] Prehospital Notification Using Emergency Medical Service Is an Optimal Strategy to Reduce the Time to Thrombolytic Therapy after Acute Ischemic Stroke
    Kim, D. H.
    Nah, H. W.
    Kim, S. W.
    Jun, S. M.
    Cha, J. K.
    CEREBROVASCULAR DISEASES, 2015, 40 : 48 - 49
  • [10] Evaluation of natural language processing from emergency department computerized medical records for intra-hospital syndromic surveillance
    Solweig Gerbier
    Olga Yarovaya
    Quentin Gicquel
    Anne-Laure Millet
    Véronique Smaldore
    Véronique Pagliaroli
    Stefan Darmoni
    Marie-Hélène Metzger
    BMC Medical Informatics and Decision Making, 11