Suppr超能文献

NPi-200 和 NPi-300 瞳孔计的设备间可靠性。

Inter-device reliability of the NPi-200 and NPi-300 pupillometers.

机构信息

University of Texas Southwestern Medical Center, United States.

Texas Health Presbyterian Hospital Dallas, United States.

出版信息

J Clin Neurosci. 2022 Jun;100:180-183. doi: 10.1016/j.jocn.2022.04.023. Epub 2022 Apr 26.

Abstract

The pupillary evaluation is an essential part of the neurological examination. Research suggests that the traditional examination of the pupil with a handheld flashlight has limited interrater reliability. Automated pupillometers were developed to provide an objective scoring of various pupillary parameters. The NPi-200 pupillometer is used for quantitative pupillary examinations, the NPi-300 was launched in July 2021 with enhanced features. The purpose of this study is to compare results from the NPi-200 to the NPi-300 to ensure that data are translatable across both platforms. This study examines the inter-device reliability of the NPi-200 compared to the NPi-300 in two cohorts: 20 patients at risk for cerebral edema and 50 healthy controls. Paired assessments of the devices were made from all participants. Each assessment included bilateral PLR readings within a 5-minute interval. Data showed high agreement between the two devices for the Neurological Pupil Index (NPi) reading (k = 0.94; CI: 0.91-0.99) and for pupil diameter assessment (k = 0.91; CI: 0.87-0.96). There is a very high level of agreement between the NPi-200 and NPi-300 among healthy controls and critically ill patients. Clinicians and researchers can interpret the results from either device equally.

摘要

瞳孔评估是神经检查的重要组成部分。研究表明,传统的手持电筒检查瞳孔的方法其信度有限。自动瞳孔计的开发是为了提供各种瞳孔参数的客观评分。NPi-200 瞳孔计用于定量瞳孔检查,NPi-300 于 2021 年 7 月推出,具有增强的功能。本研究旨在比较 NPi-200 和 NPi-300 的结果,以确保数据在两个平台之间具有可转移性。本研究在两个队列中检查了 NPi-200 与 NPi-300 之间的设备间可靠性:20 名有脑水肿风险的患者和 50 名健康对照者。对所有参与者进行了设备的配对评估。每次评估包括在 5 分钟间隔内进行双侧 PLR 读数。数据显示,两种设备的神经瞳孔指数 (NPi) 读数 (k = 0.94;CI:0.91-0.99) 和瞳孔直径评估 (k = 0.91;CI:0.87-0.96) 之间具有高度一致性。在健康对照者和危重病患者中,NPi-200 和 NPi-300 之间具有非常高的一致性。临床医生和研究人员可以平等地解释来自任一设备的结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验