Literature DB >> 32701385

Simplified Prehospital Prediction Rule to Estimate the Likelihood of 4 Types of Stroke: The 7-Item Japan Urgent Stroke Triage (JUST-7) Score.

Kazutaka Uchida, Shinichi Yoshimura, Fumihiro Sakakibara, Norito Kinjo, Hayato Araki, Shin Saito, Takeshi Morimoto.   

Abstract

OBJECTIVE: Prehospital prediction models to estimate the likelihood of several types of stroke (large vessel occlusion [LVO], intracranial hemorrhage [ICH], and subarachnoid hemorrhage [SAH], and other types of stroke) should be useful to transfer those with suspected stroke to appropriate facilities. We recently reported Japan Urgent Stroke Triage (JUST) score with 21 items had excellent predictive abilities, and we further tried to simplify the score with parsimonious items and comparable predictive abilities.
METHODS: We conducted historical and prospective multicenter cohort studies at 8 centers from June 2015 to March 2018. We developed the prediction rules with select variables from JUST score for LVO, ICH, SAH and other types of stroke in 2236 patients with suspected stroke in historical derivation cohort. We validated the developed prediction rules in 964 patients in prospective validation cohort.
RESULTS: There were 1150 stroke, including 235 LVO, 352 ICH, 107 SAH and 456 other types of stroke in the derivation cohort. We developed the scores with 7 items (high blood pressure, arrhythmia, conjugate deviation, headache, dysarthria, disturbance of consciousness, paralysis of upper limbs) and the developed scores had area under the receiver-operating curve (AUC) of 0.84 for any type of stroke, 0.89 for LVO, 0.79 for ICH, and 0.90 for SAH in the derivation cohort. There were 490 stroke, including 102 LVO, 138 ICH, 28 SAH and 222 other types of stroke in the validation cohort. The scores well discriminated these strokes in the validation cohort (AUC of 0.76 for any type of stroke; 0.81 for LVO, 0.73 for ICH, and 0.85 for SAH).
CONCLUSIONS: The simplified 7-item JUST (JUST-7) score had good predictive ability and can help healthcare providers to estimate the likelihood of different types of stroke and decide the referral hospital.

Entities:  

Keywords:  acute stroke; clinical prediction rule; prehospital; triage; validation

Mesh:

Year:  2020        PMID: 32701385     DOI: 10.1080/10903127.2020.1800877

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  2 in total

1.  Effect of region-wide use of prehospital stroke triage scale on management of patients with acute stroke.

Authors:  Hayato Araki; Kazutaka Uchida; Shinichi Yoshimura; Kaoru Kurisu; Nobuaki Shime; Shigeyuki Sakamoto; Shiro Aoki; Nobuhiko Ichinose; Yosuke Kajihara; Atsushi Tominaga; Hiromitsu Naka; Tatsuya Mizoue; Masayuki Sumida; Nobuyuki Hirotsune; Eiichi Nomura; Toshinori Matsushige; Junichi Kanazawa; Yukio Kato; Yukihiko Kawamoto; Kazuhiko Kuroki; Takeshi Morimoto
Journal:  J Neurointerv Surg       Date:  2021-08-19       Impact factor: 8.572

2.  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

  2 in total

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