{"title":"利用经颅多普勒和定量脑电图分析血管内治疗后中风的预后。","authors":"Yajie Qi, Yingqi Xing, Qingduo Wang, Yanting Cao, Hongxiu Chen, Ying Chen","doi":"10.1002/acn3.52157","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Interpretation</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":126,"journal":{"name":"Annals of Clinical and Translational Neurology","volume":"11 9","pages":"2417-2425"},"PeriodicalIF":4.4000,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acn3.52157","citationCount":"0","resultStr":"{\"title\":\"Analyzing post-endovascular treatment stroke prognosis with transcranial Doppler and quantitative electroencephalography\",\"authors\":\"Yajie Qi, Yingqi Xing, Qingduo Wang, Yanting Cao, Hongxiu Chen, Ying Chen\",\"doi\":\"10.1002/acn3.52157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Interpretation</h3>\\n \\n <p>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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":126,\"journal\":{\"name\":\"Annals of Clinical and Translational Neurology\",\"volume\":\"11 9\",\"pages\":\"2417-2425\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acn3.52157\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Clinical and Translational Neurology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/acn3.52157\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Clinical and Translational Neurology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/acn3.52157","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Analyzing post-endovascular treatment stroke prognosis with transcranial Doppler and quantitative electroencephalography
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.
期刊介绍:
Annals of Clinical and Translational Neurology is a peer-reviewed journal for rapid dissemination of high-quality research related to all areas of neurology. The journal publishes original research and scholarly reviews focused on the mechanisms and treatments of diseases of the nervous system; high-impact topics in neurologic education; and other topics of interest to the clinical neuroscience community.