早期瞳孔异常频率预测预后不良,促进国际创伤性脑损伤预后与临床试验分析(IMPACT)模型预测。

IF 2.7 Q4 Medicine
Critical care explorations Pub Date : 2025-04-29 eCollection Date: 2025-05-01 DOI:10.1097/CCE.0000000000001257
Divya Veerapaneni, Naveen Arunachalam Sakthiyendran, Yili Du, Leigh Ann Mallinger, Allyson Reinert, So Yeon Kim, Chuong Nguyen, Ali Daneshmand, Mohamad Abdalkader, Shariq Mohammed, Josée Dupuis, Kevin N Sheth, Emily J Gilmore, David Greer, Charlene J Ong
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引用次数: 0

摘要

重要性:在创伤性脑损伤(TBI)患者中,基线瞳孔评估是常规的;然而,在住院早期,瞳孔异常的发生率和临床意义仍然不清楚。目的:确定在ICU入院前72小时内瞳孔异常的发生和频率是否与不良出院结果相关,并评估纳入这种频率是否能改善已建立的预后模型的性能。设计、环境和参与者:这是一项回顾性观察性研究,纳入了2018年至2022年期间在单一三级护理ICU接受初步诊断为TBI的成年人。纳入标准包括在头72小时内至少进行三次定量瞳孔测量评估。主要观察指标:采用定量瞳孔测量法计算神经学瞳孔指数(NPi)。异常定义为任意一只眼的NPi小于3,NPi不对称大于等于0.7,或瞳孔大小不对称大于等于1mm。主要结局为不良出院处置(死亡、临终关怀或长期护理)。使用多变量logistic回归来评估瞳孔异常频率与结局之间的关系,并使用纳入国际TBI临床试验预后和分析任务(IMPACT)模型的有和没有瞳孔频率的拟合优度检验来比较模型的性能。结果:131例患者(中位年龄59岁;30%女性),35%的人有不良的出院处置。60%的轻度、61%的中度和88%的重度TBI患者出现瞳孔异常。72小时内瞳孔异常频率每增加1%,不良出院的几率增加3%(优势比1.03;95% ci, 1.01-1.05)。在IMPACT模型中加入瞳孔异常频率提高了模型的拟合优度(χ2 = 5.24;P = 0.02)。结论和相关性:瞳孔异常在创伤性脑损伤严重程度中很常见,尤其是在重症病例中。前72小时内瞳孔测量异常的频率越高,结果越不利,并显著提高了已建立的TBI预后模型的预测性能。系列定量瞳孔测量可以提供临床有价值的,动态的预后信息,在急性护理设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury.

Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury.

Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury.

Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury.

Importance: In patients with traumatic brain injury (TBI), baseline pupillary assessment is routine; however, the occurrence rate and clinical significance of pupil abnormalities over the early course of hospitalization remain poorly characterized.

Objectives: To determine whether the occurrence and frequency of pupil abnormalities within the first 72 hours of ICU admission are associated with unfavorable discharge outcomes and to assess whether incorporating this frequency improves the performance of an established prognostic model.

Design, setting, and participants: This was a retrospective observational study of adults admitted with a primary diagnosis of TBI to a single tertiary care ICU between 2018 and 2022. Inclusion criteria included at least three quantitative pupillometry assessments within the first 72 hours.

Main outcomes and measures: Quantitative pupillometry was used to calculate the Neurological Pupil index (NPi) at each assessment. Abnormalities were defined as NPi less than 3 in either eye, NPi asymmetry greater than or equal to 0.7, or pupil size asymmetry greater than or equal to 1 mm. The primary outcome was unfavorable discharge disposition (death, hospice, or long-term care). Multivariable logistic regression was used to evaluate the association between pupil abnormality frequency and outcomes, and model performance was compared using goodness-of-fit tests with and without pupil frequency added to the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) model.

Results: Among 131 patients (median age, 59 yr; 30% women), 35% had an unfavorable discharge disposition. Pupil abnormalities occurred in 60% of mild, 61% of moderate, and 88% of severe TBI patients. For each 1% increase in the frequency of pupil abnormalities over 72 hours, the odds of unfavorable discharge increased by 3% (odds ratio, 1.03; 95% CI, 1.01-1.05). Adding pupil abnormality frequency to the IMPACT model improved its goodness-of-fit (χ2 = 5.24; p = 0.02).

Conclusions and relevance: Pupil abnormalities are common across TBI severities, particularly in severe cases. A higher frequency of abnormal pupil measurements within the first 72 hours is associated with unfavorable outcomes and significantly enhances the predictive performance of established TBI prognostic models. Serial quantitative pupillometry may offer clinically valuable, dynamic prognostic information in the acute care setting.

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