Pre-hospital Diagnosis of Large Vessel Occlusion in Patients Being Transported by Helicopter.
J Stroke Cerebrovasc Dis
; 30(1): 105416, 2021 Jan.
Article
em En
| MEDLINE
| ID: mdl-33137617
ABSTRACT
BACKGROUND:
During the helicopter transportation of patients suspected of large vessel occlusion (LVO), an accurate and rapid decision-making process is required.AIMS:
We attempted to create an algorithm for the pre-hospital diagnosis of the presence of LVO in patients suspected of stroke using data from patients transported urgently by helicopter.METHODS:
One hundred and sixty-five patients transported by helicopter were divided into two subgroups a training dataset and a validation dataset. We extracted clinical information obtained on site, the unadjusted score of the National Institutes of Health Stroke Scale, and previously reported pre-hospital scales as an LVO screen. On the basis of the analyses of these factors, an algorithm was devised to predict the presence of LVO and its predictive accuracy was evaluated using the validation dataset.RESULTS:
Ischemic stroke with LVO was diagnosed in 36 out of 121 cases (29.8%) in the training dataset and in 10 out of 44 cases (22.7%) in the validation dataset. Combining five factors (conjugate deviation, upper limb paresis, atrial fibrillation, Japan Coma Scale ≥ 200, and systolic blood pressure ≥ 180), an algorithm was created to classify cases into six groups with different likelihoods of LVO presence. The algorithm predicted correctly 6 out of 10 cases in the validation dataset. Furthermore, it definitively ruled out 17 out of 34 cases in the validation dataset.CONCLUSIONS:
Using the newly created algorithm, emergency staff could easily and accurately distinguish patients suitable for urgent endovascular thrombectomy from patients with non-LVO or stroke mimics.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Técnicas de Apoio para a Decisão
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Resgate Aéreo
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Serviços Médicos de Emergência
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AVC Isquêmico
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
J Stroke Cerebrovasc Dis
Assunto da revista:
ANGIOLOGIA
/
CEREBRO
Ano de publicação:
2021
Tipo de documento:
Article