Risk Factor Stratification for Postoperative Delirium: A Retrospective Database Study

Susana Vacas, Tristan Grogan, Drew Cheng, Ira Hofer
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Abstract

Background Postoperative Delirium (POD) is a disturbing reality for patients and their families. Absence of easy-to-use and accurate risk scores prompted us to retrospectively extract data from the electronic health records (EHR) to identify clinical factors associated with POD. We seek to create a multivariate nomogram to predict the risk of POD based upon the most significant clinical factors.
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术后谵妄的危险因素分层:回顾性数据库研究
术后谵妄(POD)是困扰患者及其家属的一个现实问题。由于缺乏易于使用和准确的风险评分,我们回顾性地从电子健康记录(EHR)中提取数据,以确定与POD相关的临床因素。我们试图根据最重要的临床因素创建一个多变量nomogram来预测POD的风险。
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