QuickStroop Predicts Time to Development of Overt Hepatic Encephalopathy and Related Hospitalizations in Patients With Cirrhosis

QuickStroop模型可预测肝硬化患者出现明显肝性脑病及相关住院治疗的时间

阅读:1

Abstract

Cirrhosis-related neurocognitive impairment caused by covert or minimal hepatic encephalopathy (CHE) affects psychosocial function, increases risk of overt hepatic encephalopathy (OHE) development, and worsens survival.(1,2) However, detection in clinical practice is challenging.(2) One modality used for screening and prediction of outcomes related to cirrhosis is the EncephalApp Stroop, but it can require up to 10 minutes. Furthermore, the assessment comprises of distinct stages of difficulty, with an easier "Off" stage and a more challenging "On" stage.(3) To alleviate these concerns, QuickStroop, which takes <1 minute, was developed. This uses only the first 2 runs of the Off stage of the EncephalApp Stroop, where number signs presented in red, green, or blue need to be matched quickly to their respective colors.(4) A prior study showed these versions were comparable cross-sectionally to diagnose CHE.(4) However, the utility of QuickStroop to predict cirrhosis-related outcomes is unclear.(5-7) Our aim was to determine the ability of QuickStroop to determine time to development of OHE and OHE-related hospitalizations, all-cause hospitalizations, and death in outpatients with cirrhosis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。