» Articles » PMID: 35244728

Predictors of Early Neurological Improvement in Patients with Anterior Large Vessel Occlusion and Successful Reperfusion Following Endovascular Thrombectomy-Does CT Perfusion Imaging Matter?

Abstract

Purpose: We aimed to investigate treatment effect of endovascular thrombectomy (EVT) on the change of National Institutes of Health Stroke Scale (NIHSS) scores in acute ischemic stroke (AIS) patients with anterior large vessel occlusion (LVO). Predictors of early neurological improvement (ENI) were assessed in those with successful reperfusion.

Methods: Data on stroke patients from January 2018 to December 2020 were retrospectively analyzed. Anterior LVO was defined as occlusion of internal carotid artery and/or M1/M2 branch of middle cerebral artery. A reduction of at least 8 NIHSS points at 24 h after EVT or NIHSS score ≤ 1 at discharge was defined as ENI. In patients with successful reperfusion (TICI score of 2b/3) and available CT perfusion (CTP) imaging, 20 variables were tested in a smoothed ridge regression for their association with ENI.

Results: One hundred seventy two out of 211 patients had successful perfusion with 54 patients achieving ENI. Impact of successful EVT on reducing NIHSS score grew continuously on a daily basis up to the date of discharge. 105 out of 172 patients were included in final regression model. Short time from onset to admission and from groin-puncture to reperfusion, young age, low prestroke disability, high baseline CTP ASPECTS and high follow-up non-contrast CT (NCCT) ASPECTS were significantly associated with ENI. Neither baseline NCCT ASPECTS nor the volume of penumbra or ischemic core measured on CTP were associated with ENI.

Conclusion: CTP ASPECTS might better predict ENI than non-contrast CT at baseline in patients with successful reperfusion following EVT.

Citing Articles

Impact of post-thrombectomy isolated subarachnoid hemorrhage on neurological outcomes in patients with anterior ischemic stroke - a retrospective single-center observational study.

van Landeghem N, Ziegenfuss C, Demircioglu A, Dammann P, Jabbarli R, Haubold J Neuroradiology. 2024; 66(10):1737-1745.

PMID: 38980345 PMC: 11424715. DOI: 10.1007/s00234-024-03424-w.


Investigating Neurologic Improvement After IV Thrombolysis: The Effect of Time From Stroke Onset vs Imaging-Based Tissue Clock.

Broocks G, Meyer L, Bechstein M, Hanning U, Kniep H, Schlemm E Neurology. 2023; 101(17):e1678-e1686.

PMID: 37657940 PMC: 10624495. DOI: 10.1212/WNL.0000000000207714.


Deep Learning-based Assessment of Internal Carotid Artery Anatomy to Predict Difficult Intracranial Access in Endovascular Recanalization of Acute Ischemic Stroke.

Nageler G, Gergel I, Fangerau M, Breckwoldt M, Seker F, Bendszus M Clin Neuroradiol. 2023; 33(3):783-792.

PMID: 36928398 PMC: 10449951. DOI: 10.1007/s00062-023-01276-0.


Elevated NT-proBNP levels are associated with CTP ischemic volume and 90-day functional outcomes in acute ischemic stroke: a retrospective cohort study.

Shen X, Liao J, Jiang Y, Xu Y, Liu M, Zhang X BMC Cardiovasc Disord. 2022; 22(1):431.

PMID: 36180827 PMC: 9524121. DOI: 10.1186/s12872-022-02861-w.

References
1.
Wirtz M, Hendrix P, Goren O, Beckett L, Dicristina H, Schirmer C . Predictor of 90-day functional outcome after mechanical thrombectomy for large vessel occlusion stroke: NIHSS score of 10 or less at 24 hours. J Neurosurg. 2019; 134(1):115-121. DOI: 10.3171/2019.10.JNS191991. View

2.
Mazighi M, Meseguer E, Labreuche J, Serfaty J, Laissy J, Lavallee P . Dramatic recovery in acute ischemic stroke is associated with arterial recanalization grade and speed. Stroke. 2012; 43(11):2998-3002. DOI: 10.1161/STROKEAHA.112.658849. View

3.
Saver J, Goyal M, van der Lugt A, Menon B, Majoie C, Dippel D . Time to Treatment With Endovascular Thrombectomy and Outcomes From Ischemic Stroke: A Meta-analysis. JAMA. 2016; 316(12):1279-88. DOI: 10.1001/jama.2016.13647. View

4.
Cilluffo G, Sottile G, La Grutta S, Muggeo V . The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression. Stat Methods Med Res. 2019; 29(3):765-777. DOI: 10.1177/0962280219842890. View

5.
Zelenak K, Krajina A, Meyer L, Fiehler J, Esmint Artificial Intelligence And Robotics Ad Hoc Committee , Behme D . How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods. Life (Basel). 2021; 11(6). PMC: 8229281. DOI: 10.3390/life11060488. View