Key result
Early experience with pre-hospital ECG for acute myocardial infarction detection may guide the implementation of future pre-hospital detection devices for emergent large vessel occlusion.
The historical implementation of pre-hospital ECG for acute myocardial infarction detection provides a model for the future adoption of pre-hospital detection devices for emergent large vessel occlusion in acute ischemic stroke.
Pre-hospital ECG experience in myocardial infarction may inform ELVO device development; leaves open prospective stroke validation before adoption.
Currently, there is no device capable of detecting acute ischemic stroke (AIS) secondary to emergent large vessel occlusion (ELVO) in the pre-hospital setting. The inability to reliably identify patients that would benefit from primary treatment with endovascular thrombectomy remains an important limitation to optimizing emergency medical services (EMS) triage models and time-to-treatment. Several clinical grading scales that rely solely on clinical examination have been proposed and have demonstrated only moderate predictive ability for ELVO. Consequently, a technology capable of detecting ELVO in the pre-hospital setting would be of great benefit. An analogous scenario existed decades ago, in which pre-hospital detection of acute myocardial infarction (AMI) was unreliable until the emergence of the 12-lead ECG and its adoption by EMS providers. This review details the implementation of pre-hospital ECG (PHECG) for the detection of AMI and explores how early experience with PHECG may be applied to ELVO detection devices, once they become available.
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Chartrain et al. (2018) conducted a review in Acute ischemic stroke secondary to emergent large vessel occlusion. Pre-hospital detection devices was evaluated. Early experience with pre-hospital ECG for acute myocardial infarction detection may guide the implementation of future pre-hospital detection devices for emergent large vessel occlusion.
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