Veerapaneni Divya, Arunachalam Sakthiyendran Naveen, Du Yili, Mallinger Leigh Ann, Reinert Allyson, Yeon Kim So, Nguyen Chuong, Daneshmand Ali, Abdalkader Mohamad, Mohammed Shariq, Dupuis Josée, Sheth Kevin N, Gilmore Emily J, Greer David, Ong Charlene J
Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX.
Boston University Chobanian and Avedisian School of Medicine, Boston, MA.
Crit Care Explor. 2025 Apr 29;7(5):e1257. doi: 10.1097/CCE.0000000000001257. eCollection 2025 May 1.
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.
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.
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.
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).
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.
在创伤性脑损伤(TBI)患者中,基线瞳孔评估是常规操作;然而,住院早期瞳孔异常的发生率及临床意义仍未得到充分描述。
确定重症监护病房(ICU)入院后72小时内瞳孔异常的发生率及频率是否与不良出院结局相关,并评估纳入该频率是否能改善已建立的预后模型的性能。
设计、设置和参与者:这是一项对2018年至2022年间因原发性TBI诊断入住单一三级护理ICU的成年人进行的回顾性观察研究。纳入标准包括在最初72小时内至少进行三次定量瞳孔测量评估。
每次评估时使用定量瞳孔测量法计算神经瞳孔指数(NPi)。异常定义为任何一只眼睛的NPi小于3、NPi不对称性大于或等于0.7或瞳孔大小不对称性大于或等于1毫米。主要结局为不良出院处置(死亡、临终关怀或长期护理)。使用多变量逻辑回归评估瞳孔异常频率与结局之间的关联,并通过拟合优度检验比较在创伤性脑损伤临床试验预后与分析国际任务(IMPACT)模型中添加和不添加瞳孔频率时模型的性能。
在131例患者(中位年龄59岁;30%为女性)中,35%有不良出院处置。轻度TBI患者中60%、中度TBI患者中61%和重度TBI患者中88%出现瞳孔异常。在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%置信区间,1.01 - 1.05)。将瞳孔异常频率添加到IMPACT模型中可改善其拟合优度(χ2 = 5.24;p = 0.02)。
瞳孔异常在各种严重程度的TBI中都很常见,尤其是在严重病例中。入院后72小时内较高频率的异常瞳孔测量与不良结局相关,并显著提高了已建立的TBI预后模型的预测性能。连续定量瞳孔测量可能在急性护理环境中提供具有临床价值的动态预后信息。