系统综述、荟萃分析和荟萃回归综合了用于量化动态大脑自动调节的驱动方法

Joel S Burma, Marc-Antoine Roy, Courtney M Kennedy, Lawrence Labrecque, Patrice Brassard, Jonathan D Smirl
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引用次数: 0

摘要

许多驱动技术已被用于评估健康和临床人群的动态脑自动调节(dCA)。本综述旨在对这些文献进行整合,并为今后的研究提供更多标准化建议。我们在 PubMed 数据库中进行了搜索,纳入标准包括在人类中使用驱动式 dCA 评估的原始研究文章。使用苏格兰校际指南网络和非随机研究方法指数完成了偏倚风险分析。在 0.05 和 0.10 Hz 频率下,使用深呼吸、振荡下半身负压 (OLBNP)、坐立动作和蹲立动作对相干性、相位和增益指标进行了元分析。共纳入了 113 项研究,其中 40 项纳入了临床人群。共确定了 4126 名参与者,其中研究最多的人群是年轻人(18-40 岁)。最常见的技术是蹲立(43 人)、深呼吸(25 人)、OLBNP(20 人)和坐立(16 人)。汇总的一致性点估计值为在 0.05 Hz 时,OLBNP 为 0.70 (95%CI:0.59-0.82),坐立为 0.87 (95%CI:0.79-0.95),深蹲为 0.98 (95%CI:0.98-0.99);在 0.10 Hz 时,深呼吸为 0.90 (95%CI:0.81-0.99),OLBNP 为 0.67 (95%CI:0.44-0.90),深蹲为 0.99 (95%CI:0.99-0.99)。本综述总结了临床研究结果,讨论了其中 11 种独特驱动技术的利弊,并为今后研究 dCA 的独特生理复杂性提供了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic review, meta-analysis, and meta-regression amalgamating the driven approaches used to quantify dynamic cerebral autoregulation
Numerous driven techniques have been utilized to assess dynamic cerebral autoregulation (dCA) in healthy and clinical populations. The current review aimed to amalgamate this literature and provide recommendations to create greater standardization for future research. The PubMed database was searched with inclusion criteria consisting of original research articles using driven dCA assessments in humans. Risk of bias were completed using Scottish Intercollegiate Guidelines Network and Methodological Index for Non-Randomized Studies. Meta-analyses were conducted for coherence, phase, and gain metrics at 0.05 and 0.10 Hz using deep-breathing, oscillatory lower body negative pressure (OLBNP), sit-to-stand maneuvers, and squat-stand maneuvers. A total of 113 studies were included, with 40 of these incorporating clinical populations. A total of 4126 participants were identified, with younger adults (18–40 years) being the most studied population. The most common techniques were squat-stands (n = 43), deep-breathing (n = 25), OLBNP (n = 20), and sit-to-stands (n = 16). Pooled coherence point estimates were: OLBNP 0.70 (95%CI:0.59–0.82), sit-to-stands 0.87 (95%CI:0.79–0.95), and squat-stands 0.98 (95%CI:0.98–0.99) at 0.05 Hz; and deep-breathing 0.90 (95%CI:0.81–0.99); OLBNP 0.67 (95%CI:0.44–0.90); and squat-stands 0.99 (95%CI:0.99–0.99) at 0.10 Hz. This review summarizes clinical findings, discusses the pros/cons of the 11 unique driven techniques included, and provides recommendations for future investigations into the unique physiological intricacies of dCA.
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