Zhiyuan Yu1, Dingke Wen1, Jun Zheng1, Rui Guo1, Hao Li1, Chao You1, Lu Ma2. 1. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. 2. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address: alex80350305@126.com.
Abstract
OBJECTIVE: Delayed cerebral ischemia (DCI) is significantly related to death and unfavorable functional outcome in patients with aneurysmal subarachnoid hemorrhage (SAH). The association between alpha-delta ratio (ADR) on quantitative electroencephalography (EEG) and DCI has been reported in several previous studies, but their results are conflicting. This meta-analysis was conducted to assess the accuracy of ADR for DCI prediction in patients with aneurysmal SAH. METHODS: PubMed and Embase were systematically searched for related records. Study selection and data collection were completed by 2 investigators. Sensitivity, specificity, and their 95% confidence intervals (CIs) were pooled. A summary receiver operating characteristic curve was plotted to show the pooled accuracy. Deeks funnel plot was used to evaluate publication bias. RESULTS: Five studies were included in this meta-analysis. The pooled sensitivity and specificity of worsening ADR for DCI prediction in patients with aneurysmal SAH were 0.83 (95% CI 0.44-0.97) and 0.74 (95% CI 0.50-0.89), respectively. In addition, the area under the summary receiver operating characteristic curve was 0.84 (95% CI 0.81-0.87). No obvious publication bias was found using Deeks funnel plot (P = 0.29). CONCLUSIONS: Worsening ADR on quantitative EEG is a reliable predictor of DCI in patients with aneurysmal SAH. Further studies are still needed to confirm the role of quantitative EEG in DCI prediction.
OBJECTIVE:Delayed cerebral ischemia (DCI) is significantly related to death and unfavorable functional outcome in patients with aneurysmal subarachnoid hemorrhage (SAH). The association between alpha-delta ratio (ADR) on quantitative electroencephalography (EEG) and DCI has been reported in several previous studies, but their results are conflicting. This meta-analysis was conducted to assess the accuracy of ADR for DCI prediction in patients with aneurysmalSAH. METHODS: PubMed and Embase were systematically searched for related records. Study selection and data collection were completed by 2 investigators. Sensitivity, specificity, and their 95% confidence intervals (CIs) were pooled. A summary receiver operating characteristic curve was plotted to show the pooled accuracy. Deeks funnel plot was used to evaluate publication bias. RESULTS: Five studies were included in this meta-analysis. The pooled sensitivity and specificity of worsening ADR for DCI prediction in patients with aneurysmalSAH were 0.83 (95% CI 0.44-0.97) and 0.74 (95% CI 0.50-0.89), respectively. In addition, the area under the summary receiver operating characteristic curve was 0.84 (95% CI 0.81-0.87). No obvious publication bias was found using Deeks funnel plot (P = 0.29). CONCLUSIONS: Worsening ADR on quantitative EEG is a reliable predictor of DCI in patients with aneurysmalSAH. Further studies are still needed to confirm the role of quantitative EEG in DCI prediction.
Authors: Hae Young Baang; Hsin Yi Chen; Alison L Herman; Emily J Gilmore; Lawrence J Hirsch; Kevin N Sheth; Nils H Petersen; Sahar F Zafar; Eric S Rosenthal; M Brandon Westover; Jennifer A Kim Journal: J Clin Neurophysiol Date: 2022-03-01 Impact factor: 2.590
Authors: W Taylor Kimberly; Eric S Rosenthal; India A Lissak; Sahar F Zafar; M Brandon Westover; Riana L Schleicher; Jennifer A Kim; Thabele Leslie-Mazwi; Christopher J Stapleton; Aman B Patel Journal: Stroke Date: 2020-03-11 Impact factor: 7.914
Authors: India A Lissak; Joseph J Locascio; Sahar F Zafar; Riana L Schleicher; Aman B Patel; Thabele Leslie-Mazwi; Christopher J Stapleton; Matthew J Koch; Jennifer A Kim; Kasey Anderson; Jonathan Rosand; M Brandon Westover; W Taylor Kimberly; Eric S Rosenthal Journal: Neurocrit Care Date: 2021-01-22 Impact factor: 3.532