Department of Emergency Medicine, McGovern Medical School at UTHealth, Houston, TX (P.B.S.).
Forest Devices, Inc, Pittsburgh, PA (A.J.M., L.T.B., M.R.W., M.R.K., W.F.P.).
Stroke. 2021 Apr;52(4):1437-1440. doi: 10.1161/STROKEAHA.120.031225. Epub 2021 Feb 18.
Early detection of large vessel occlusion (LVO) stroke optimizes endovascular therapy and improves outcomes. Clinical stroke severity scales used for LVO identification have variable accuracy. We investigated a portable LVO-detection device (PLD), using electroencephalography and somatosensory-evoked potentials, to identify LVO stroke.
We obtained PLD data in suspected patients with stroke enrolled prospectively via a convenience sample in 8 emergency departments within 24 hours of symptom onset. LVO discriminative signals were integrated into a binary classifier. The National Institutes of Health Stroke Scale was documented, and 4 prehospital stroke scales were retrospectively calculated. We compared PLD and scale performance to diagnostic neuroimaging.
Of 109 patients, there were 25 LVO (23%), 38 non-LVO ischemic (35%), 14 hemorrhages (13%), and 32 stroke mimics (29%). The PLD had higher sensitivity (80% [95% CI, 74-85]) and similar specificity (80% [95% CI, 77-83]) to all prehospital scales at their predetermined high probability LVO thresholds. The PLD had high discrimination for LVO (-statistic=0.88).
The PLD identifies LVO with superior accuracy compared with prehospital stroke scales in emergency department suspected stroke. Future studies need to validate the PLD's potential as an LVO triage aid in prehospital undifferentiated stroke populations.
早期发现大血管闭塞(LVO)卒中可优化血管内治疗并改善预后。用于识别 LVO 的临床卒中严重程度量表准确性各不相同。我们研究了一种使用脑电图和体感诱发电位的便携式 LVO 检测设备(PLD),以识别 LVO 卒中。
我们通过 8 个急诊部门的便利样本,在症状发作后 24 小时内前瞻性地获得疑似卒中患者的 PLD 数据。将 LVO 判别信号整合到二进制分类器中。记录国立卫生研究院卒中量表(NIHSS),并回顾性计算 4 种院前卒中量表。我们将 PLD 和量表性能与诊断性神经影像学进行比较。
在 109 例患者中,有 25 例 LVO(23%)、38 例非 LVO 缺血性(35%)、14 例出血(13%)和 32 例卒中模拟(29%)。PLD 的敏感性(80%[95%CI,74-85])高于所有院前量表在其预设的高概率 LVO 阈值时的敏感性,特异性(80%[95%CI,77-83])相似。PLD 对 LVO 的判别能力较高(-统计量=0.88)。
与院前卒中量表相比,PLD 在急诊疑似卒中患者中识别 LVO 的准确性更高。未来的研究需要验证 PLD 作为院前未分化卒中人群 LVO 分诊辅助工具的潜力。