Developing a predictive value for predicting stroke recovery based on transcranial doppler ultrasound parameters

IF 2.7 4区医学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Neuroscience Methods Pub Date : 2025-01-30 DOI:10.1016/j.jneumeth.2025.110383

Liu Yang, Xinyi Cai, Yanhong Yan, Pinjing Hui

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引用次数: 0

Abstract

Background

One of the leading causes of disability and death is acute ischemic stroke (AIS) brought on by middle cerebral artery (MCA) obstruction. For the best patient care, it is essential to accurately anticipate the functional prognosis in the early stages of stroke. The ability of conventional clinical evaluations and imaging methods to deliver precise and timely prognostic information is frequently limited.

New method

In this work, a predictive value for predicting functional outcome in patients with acute ischemic stroke caused by MCA blockage was developed utilizing transcranial Doppler (TCD) ultrasonography characteristics. Within 24 h after intravenous thrombolysis (IVT), TCD measures such as pulsatility index (PI), mean flow velocity (Vm), end-diastolic velocity (EDV), and peak systolic velocity (PSV) were assessed. Independent determinants of functional outcome, as determined by the modified Rankin Scale (mRS), were found using logistic regression analysis. These important factors were used to create a prediction model.

Comparison with existing methods

Favorable functional outcomes were substantially correlated with a number of TCD characteristics, such as the ratio of pulsatility index to mean flow velocity (rPI) and peak systolic velocity to end-diastolic velocity (rPSV). At three months after a stroke, a logistic regression model that included these measures together with additional clinical indicators showed excellent accuracy in predicting functional prognosis.

Conclusion

In individuals who have experienced an acute ischemic stroke as a result of MCA blockage, TCD ultrasonography parameters—in particular, rPSV and rPI—are useful prognostic indicators for forecasting functional prognosis. Early risk classification and individualized treatment plans can benefit from the creation of a quantitative model based on these criteria. Validating and improving this model in bigger and more varied patient groups should be the goal of future research.

查看原文本刊更多论文

建立基于经颅多普勒超声参数预测脑卒中恢复的预测值。

背景：大脑中动脉阻塞引起的急性缺血性脑卒中（AIS）是导致残疾和死亡的主要原因之一。为了获得最佳的患者护理，准确预测中风早期的功能预后是至关重要的。传统的临床评估和成像方法提供准确和及时的预后信息的能力经常受到限制。新方法：在这项工作中，利用经颅多普勒（TCD）超声特征来预测MCA阻塞引起的急性缺血性卒中患者的功能预后。静脉溶栓（IVT）后24小时内，评估TCD指标，如脉搏指数（PI）、平均血流速度（Vm）、舒张末期速度（EDV）和峰值收缩速度（PSV）。功能结局的独立决定因素，由修改的兰金量表（mRS）确定，使用逻辑回归分析发现。这些重要因素被用来建立一个预测模型。与现有方法的比较：良好的功能结果与TCD的许多特征密切相关，如脉搏指数与平均血流速度（rPI）的比率和峰值收缩速度与舒张末期速度（rPSV）的比率。在中风后3个月，包括这些指标和其他临床指标的逻辑回归模型在预测功能预后方面显示出极好的准确性。结论：在因MCA阻塞而发生急性缺血性脑卒中的患者中，TCD超声参数，特别是rPSV和rpi是预测功能预后的有用预后指标。早期风险分类和个性化治疗计划可以受益于基于这些标准的定量模型的创建。在更大、更多样化的患者群体中验证和改进这一模型应该是未来研究的目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroscience Methods 医学-神经科学

CiteScore

7.10

自引率

3.30%

发文量

226

审稿时长

52 days

期刊介绍： The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.