Literature DB >> 30354974

Emergent Large Vessel Occlusion Screen Is an Ideal Prehospital Scale to Avoid Missing Endovascular Therapy in Acute Stroke.

Kentaro Suzuki1, Nobuhito Nakajima2, Kenta Kunimoto3, Seira Hatake2, Yuki Sakamoto4, Hiroyuki Hokama4, Koichi Nomura5, Toshiyuki Hayashi5, Junya Aoki1, Satoshi Suda1, Yasuhiro Nishiyama1, Kazumi Kimura1.   

Abstract

Background and Purpose- The strong evidence of endovascular therapy in acute ischemic stroke patients with large vessel occlusion (LVO) is revealed. Such patients are required to direct transport to the hospital capable of endovascular therapy. There are several prehospital scales available for paramedics to predict LVO. However, they are time consuming, and several of them include factors caused by other types than LVO. Therefore, we need a fast, simple, and reliable prehospital scale for LVO. Methods- We developed a new prehospital stroke scale, emergent large vessel occlusion (ELVO) screen, for paramedics to predict LVO. The study was prospectively performed by multistroke centers. When paramedics referred to stroke center to accept suspected stroke patients, we obtain the following information over the telephone. ELVO screen was designed focusing on cortical symptoms: 1 observation; presence of eye deviation and 2 questions; paramedics show glasses, what is this? and paramedics show 4 fingers, how many fingers are there? If the presence of eye deviation or ≥1 of the 2 items were incorrect, ELVO screen was identified as positive. We evaluated between results of ELVO screen and presence of LVO on magnetic resonance angiography at hospital arrival. Results- A total of 413 patients (age, 74±13 years; men, 234 [57%]) were enrolled. Diagnosis was ischemic stroke, 271 (66%); brain hemorrhage 73 (18%); subarachnoid hemorrhage, 7 (2%); and not stroke, 62 (15%). One hundred fourteen patients had LVO (internal carotid artery, 33 [29%]; M1, 52 [46%]; M2, 21 [18%]; basilar artery, 5 [4%]; P1, 3 [3%]). Sensitively, specificity, positive predictive value, negative predictive value, and accuracy for ELVO screen to predict LVO were 85%, 72%, 54%, 93% and 76%, respectively. Among 233 patients with negative ELVO screen, only 17 (7%) had LVO, which indicated to be an ideal scale to avoid missing endovascular therapy. Conclusions- The ELVO screen is a simple, fast, and reliable prehospital scale for paramedics to identify stroke patients with LVO for whom endovascular therapy is an effective treatment.

Entities:  

Keywords:  endovascular therapy; ischemic stroke; large vessel occlusion; sensitivity; stroke

Mesh:

Year:  2018        PMID: 30354974     DOI: 10.1161/STROKEAHA.118.022107

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


  6 in total

1.  Prehospital stroke notification and endovascular therapy for large vessel occlusion: a retrospective cohort study.

Authors:  Satoru Fujiwara; Takehito Kuroda; Yoshinori Matsuoka; Nobuyuki Ohara; Hirotoshi Imamura; Yosuke Yamamoto; Koichi Ariyoshi; Nobuo Kohara; Michi Kawamoto; Nobuyuki Sakai
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

2.  Test characteristics of a 5-element cortical screen for identifying anterior circulation large vessel occlusion ischemic strokes.

Authors:  Jessica Hoglund; Dale Strong; Jeremy Rhoten; Brenda Chang; Rahul Karamchandani; Connell Dunn; Hongmei Yang; Andrew W Asimos
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-07-24

3.  Development of Machine Learning Models to Predict Probabilities and Types of Stroke at Prehospital Stage: the Japan Urgent Stroke Triage Score Using Machine Learning (JUST-ML).

Authors:  Kazutaka Uchida; Junichi Kouno; Shinichi Yoshimura; Norito Kinjo; Fumihiro Sakakibara; Hayato Araki; Takeshi Morimoto
Journal:  Transl Stroke Res       Date:  2021-08-14       Impact factor: 6.800

4.  Reducing door-to-reperfusion time in acute stroke endovascular therapy using magnetic resonance imaging as a screening modality.

Authors:  Yuki Sakamoto; Kentaro Suzuki; Arata Abe; Junya Aoki; Takuya Kanamaru; Yohei Takayama; Takehiro Katano; Akihito Kutsuna; Satoshi Suda; Yasuhiro Nishiyama; Chikako Nito; Kazumi Kimura
Journal:  J Neurointerv Surg       Date:  2020-02-12       Impact factor: 5.836

Review 5.  Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review.

Authors:  Jennifer K Nicholls; Jonathan Ince; Jatinder S Minhas; Emma M L Chung
Journal:  Front Neurol       Date:  2022-01-06       Impact factor: 4.003

6.  Prehospital diagnostic algorithm for acute coronary syndrome using machine learning: a prospective observational study.

Authors:  Masahiko Takeda; Takehiko Oami; Yosuke Hayashi; Tadanaga Shimada; Noriyuki Hattori; Kazuya Tateishi; Rie E Miura; Yasuo Yamao; Ryuzo Abe; Yoshio Kobayashi; Taka-Aki Nakada
Journal:  Sci Rep       Date:  2022-08-26       Impact factor: 4.996

  6 in total

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