Analyzing post‐endovascular treatment stroke prognosis with transcranial Doppler and quantitative electroencephalography

• Published in: Annals of clinical and translational neurology 2024-09, Vol.11 (9), p.2417-2425
• Main Authors: Qi, Yajie, Xing, Yingqi, Wang, Qingduo, Cao, Yanting, Chen, Hongxiu, Chen, Ying
• Format: Article
• Language: English
• Subjects: Aged; Clinical outcomes; Data collection; Electroencephalography; Electroencephalography - methods; Endovascular Procedures; Female; Flow velocity; Humans; Intracranial pressure; Ischemia; Ischemic Stroke - diagnostic imaging; Ischemic Stroke - physiopathology; Male; Medical imaging; Metabolism; Middle Aged; Nomograms; Patients; Prognosis; Prospective Studies; Statistical analysis; Stroke; Stroke - diagnostic imaging; Stroke - physiopathology; Stroke - therapy; Tomography; Ultrasonography, Doppler, Transcranial - methods; Veins & arteries
• ISSN: 2328-9503; 2328-9503
• DOI: 10.1002/acn3.52157

Objective Despite successful recanalization following acute ischemic stroke, patients may have a poor prognosis. We investigated whether transcranial Doppler combined with quantitative electroencephalography can identify patients with a poor prognosis at an early stage. Methods Prospectively recruited patients with successful recanalization after endovascular treatment for acute ischemic stroke were assessed for prognosis at 90 days using the modified Rankin Scale. Clinical information and National Institute of Health Stroke Scale scores were recorded. Transcranial Doppler combined with quantitative electroencephalography was used to evaluate brain function. Results Of the 37 patients (63.5 ± 11.7 years) studied, 18 had a poor prognosis at 90 days (modified Rankin Scale >3). Multivariable analysis revealed that transcranial Doppler indicators of the pulsatility index of the unaffected side, quantitative electroencephalography indicators of the pairwise‐derived Brain Symmetry Index, and National Institute of Health Stroke Scale score were independent prognostic indicators. Modeling indicated that combining these independent predictors yielded superior accuracy and net clinical benefit to any single variable. With the final predictive model presented as a nomogram, internal validation by bootstrap resampling showed good discrimination with a concordance index of 0.961. The calibration curve displayed good agreement of predicted and actual probabilities. Interpretation The nomogram prediction model combining transcranial Doppler with quantitative electroencephalography and National Institute of Health Stroke Scale scores can provide guidance for individualized risk prediction in patients with acute ischemic stroke after revascularization.