自动瞳孔测量是脑卒中患者预后的预测指标:一项观察性、前瞻性、队列研究。

IF 4.1 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2025-02-18 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcaf079
Irene Scala, Massimo Miccoli, Jacopo Di Giovanni, Fabiana Cerulli, Pier A Rizzo, Simone Bellavia, Francesca Vitali, Francesca Colò, Serena Abruzzese, Giacomo Della Marca, Valeria Guglielmi, Valerio Brunetti, Riccardo Di Iorio, Aldobrando Broccolini, Paolo Profice, Paolo Calabresi, Mauro Monforte, Giovanni Frisullo
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引用次数: 0

摘要

自动瞳孔测量(AP)是一种快速、无创的评估瞳孔光反射的工具,广泛用于监测创伤性脑损伤患者。在急性缺血性脑卒中中,缺乏监测神经状态和预测预后的定量工具。本研究旨在通过改进的Rankin量表(mRS)评分来评估AP预测脑卒中预后的能力。在这项观察性队列研究中,我们招募了2021年至2024年间入住综合卒中中心卒中单元的成年前循环卒中患者,这些患者在卒中发作后72小时内接受了AP评估。排除标准为:颅内高压、严重眼病、病变累及自主神经系统、缺乏3个月随访资料。使用NPi-200®对每位患者连续重复三次AP评估,并考虑两只眼睛以及缺血病变同侧和对侧眼睛的平均参数。单因素比较采用Mann-Whitney u检验、t检验和χ 2检验。采用二元和有序多变量logistic回归模型进行调整分析。主要结局指标是3个月mRS的二分类,分别为0-2和3-6。次要结局为3个月mRS评分、3个月mRS评分0-3对4-6、3个月及院内死亡。计算受试者工作特征曲线(ROC)来评估AP的预后能力。研究纳入了209例患者(123名男性,中位年龄75岁)。其中住院期间死亡11例(5.3%),3个月mRS < 3的124例(59.33%)。在校正了所有可能混杂因素的多变量logistic回归模型中,脑卒中病变同侧眼内低扩张速度(DV)是预后不良的独立预测因子,定义为3个月时mRS > 2和mRS > 3 (P = 0.028和P = 0.024)。此外,在有序逻辑回归中,同侧DV结果是3个月mRS好转的显著预测因子(P = 0.036)。DV≥0.865 mm/s能够预测90天卒中预后良好,灵敏度和特异性为60%(曲线下面积0.651;P < 0.001)。没有其他AP参数是卒中结局的独立预测因子。缺血性病变同侧眼内DV降低与住院和3个月卒中预后差有关,这可能有助于确定需要定制监测和治疗路径以改善预后的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated pupillometry is a predictor of outcome of stroke patients: an observational, prospective, cohort study.

Automated pupillometry (AP) is a rapid, non-invasive tool to assess the pupillary light reflex, extensively used for monitoring patients with traumatic brain injury. In acute ischaemic stroke, quantitative tools to monitor neurological status and predict outcome are lacking. This study aims to evaluate the ability of AP to predict stroke outcome, defined through the modified Rankin Scale (mRS) scores. In this observational, cohort study, we enrolled adult patients with anterior circulation stroke admitted to the stroke unit of a comprehensive stroke centre between 2021 and 2024 who underwent AP evaluation within 72 h of stroke onset. Exclusion criteria were: intracranial hypertension, severe eye diseases, pathologies involving the autonomic nervous system and lack of 3-month follow-up data. The AP evaluation was repeated three consecutive times in each patient using the NPi-200® and mean parameters of the two eyes and those of the eye homolateral and contralateral to the ischaemic lesion were considered. Mann-Whitney U-test, t-test and χ 2-test were used for univariate comparisons. Binary and ordinal multivariable logistic regression models were used for the adjusted analysis. The primary outcome measure was the dichotomization of the 3-month mRS of 0-2 versus 3-6. Secondary outcomes were the score on the 3-month mRS, 3-month dichotomization of mRS 0-3 versus 4-6, and 3-month and in-hospital death. Receiver operating characteristic curves (ROC) were computed to evaluate the prognostic ability of AP. Two-hundred and nine patients (123 men, median age 75 years) were included in the study. Among included patients, 11 (5.3%) died during the hospital stay and 124 (59.33%) had a 3-month mRS < 3. In multivariable logistic regression models corrected for all possible confounders, a low dilatation velocity (DV) in the eye homolateral to the stroke lesion was an independent predictor of poor prognosis, defined as both mRS > 2 and mRS > 3 at 3 months (P = 0.028 and P = 0.024, respectively). Furthermore, homolateral DV resulted to be a significant predictor of a shift towards a better outcome on the 3-month mRS in the ordinal logistic regression (P = 0.036). A DV ≥ 0.865 mm/s was able to predict a good stroke outcome at 90 days with 60% sensitivity and specificity (area under the curve 0.651; P < 0.001). No other AP parameters were independent predictors of stroke outcome. A reduction in the DV in the eye ipsilateral to the ischaemic lesion is associated with poor in-hospital and 3-month stroke outcome, and it could be useful for identifying patients who need a tailored monitoring and treatment path to improve their prognosis.

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