Department of Intensive Care Medicine, CHUV-Lausanne University Hospital and University of Lusanne, Lausanne, Switzerland; CHUV Directorate for Innovation and Clinical Research, CHUV-Lausanne University Hospital and University of Lusanne, Lausanne, Switzerland.
Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles, Brussels, Belgium.
Lancet Neurol. 2023 Oct;22(10):925-933. doi: 10.1016/S1474-4422(23)00271-5. Epub 2023 Aug 28.
Improving the prognostication of acute brain injury is a key element of critical care. Standard assessment includes pupillary light reactivity testing with a hand-held light source, but findings are interpreted subjectively; automated pupillometry might be more precise and reproducible. We aimed to assess the association of the Neurological Pupil index (NPi)-a quantitative measure of pupillary reactivity computed by automated pupillometry-with outcomes of patients with severe non-anoxic acute brain injury.
ORANGE is a multicentre, prospective, observational cohort study at 13 hospitals in eight countries in Europe and North America. Patients admitted to the intensive care unit after traumatic brain injury, aneurysmal subarachnoid haemorrhage, or intracerebral haemorrhage were eligible for the study. Patients underwent automated infrared pupillometry assessment every 4 h during the first 7 days after admission to compute NPi, with values ranging from 0 to 5 (with abnormal NPi being <3). The co-primary outcomes of the study were neurological outcome (assessed with the extended Glasgow Outcome Scale [GOSE]) and mortality at 6 months. We used logistic regression to model the association between NPi and poor neurological outcome (GOSE ≤4) at 6 months and Cox regression to model the relation of NPi with 6-month mortality. This study is registered with ClinicalTrials.gov, NCT04490005.
Between Nov 1, 2020, and May 3, 2022, 514 patients (224 with traumatic brain injury, 139 with aneurysmal subarachnoid haemorrhage, and 151 with intracerebral haemorrhage) were enrolled. The median age of patients was 61 years (IQR 46-71), and the median Glasgow Coma Scale score on admission was 8 (5-11). 40 071 NPi measurements were taken (median 40 per patient [20-50]). The 6-month outcome was assessed in 497 (97%) patients, of whom 160 (32%) patients died, and 241 (47%) patients had at least one recording of abnormal NPi, which was associated with poor neurological outcome (for each 10% increase in the frequency of abnormal NPi, adjusted odds ratio 1·42 [95% CI 1·27-1·64]; p<0·0001) and in-hospital mortality (adjusted hazard ratio 5·58 [95% CI 3·92-7·95]; p<0·0001).
NPi has clinically and statistically significant prognostic value for neurological outcome and mortality after acute brain injury. Simple, automatic, repeat automated pupillometry assessment could improve the continuous monitoring of disease progression and the dynamics of outcome prediction at the bedside.
NeurOptics.
提高急性脑损伤的预后是重症监护的关键要素。标准评估包括使用手持式光源进行瞳孔光反射测试,但结果是主观解释的;自动瞳孔计可能更精确和可重复。我们旨在评估神经瞳孔指数(NPi)——一种通过自动瞳孔计计算的瞳孔反应的定量测量值——与严重非缺氧性急性脑损伤患者结局的相关性。
ORANGE 是一项在欧洲和北美的 8 个国家的 13 家医院进行的多中心、前瞻性、观察性队列研究。外伤性脑损伤、蛛网膜下腔出血或脑出血后收入重症监护病房的患者有资格参加研究。患者在入院后第 1 天至第 7 天内每 4 小时接受一次自动红外瞳孔测量,以计算 NPi,NPi 值范围为 0 至 5(异常 NPi <3)。该研究的主要结局是 6 个月时的神经结局(用扩展格拉斯哥预后量表[GOSE]评估)和死亡率。我们使用逻辑回归模型来模拟 NPi 与 6 个月时不良神经结局(GOSE≤4)之间的关联,并使用 Cox 回归模型来模拟 NPi 与 6 个月死亡率之间的关系。本研究在 ClinicalTrials.gov 注册,NCT04490005。
2020 年 11 月 1 日至 2022 年 5 月 3 日期间,纳入了 514 名患者(224 名创伤性脑损伤患者、139 名蛛网膜下腔出血患者和 151 名脑出血患者)。患者的中位年龄为 61 岁(IQR 46-71),入院时的格拉斯哥昏迷量表评分为 8 分(5-11)。共进行了 40071 次 NPi 测量(中位数为每个患者 40 次[20-50])。对 497 名(97%)患者进行了 6 个月的预后评估,其中 160 名(32%)患者死亡,241 名(47%)患者至少有一次异常 NPi 记录,这与不良神经结局相关(异常 NPi 频率每增加 10%,调整后的优势比为 1.42[95%CI 1.27-1.64];p<0.0001)和院内死亡率(调整后的危险比为 5.58[95%CI 3.92-7.95];p<0.0001)。
NPi 对急性脑损伤后的神经结局和死亡率具有临床和统计学上显著的预后价值。简单、自动、重复的自动瞳孔测量评估可以改善疾病进展的连续监测和床边预后预测的动态。
NeurOptics。