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一种预测急性失代偿性心力衰竭患者谵妄及其与临床病程关系的新型评分系统。

A novel scoring system to predict delirium and its relationship with the clinical course in patients with acute decompensated heart failure.

作者信息

Sakaguchi Taiki, Watanabe Mayumi, Kawasaki Chika, Kuroda Itomi, Abe Haruhiko, Date Motoo, Ueda Yasunori, Yasumura Yoshio, Koretsune Yukihiro

机构信息

Institute for Clinical Research, National Hospital Organization Osaka National Hospital, Osaka, Japan.

Coronary Care Unit, National Hospital Organization Osaka National Hospital, Osaka, Japan.

出版信息

J Cardiol. 2018 Jun;71(6):564-569. doi: 10.1016/j.jjcc.2017.11.011. Epub 2017 Dec 26.

Abstract

BACKGROUND

Delirium is known to be a poor prognostic factor in patients with acute decompensated heart failure (ADHF). The purpose of this study was to determine predictors of delirium on admission of ADHF patients, and to establish a scoring formula to identify patients at high risk for delirium.

METHODS AND RESULTS

We recorded the Intensive Care Delirium Screening Checklist (ICDSC) score in 120 ADHF patients during their stay in the coronary care unit (CCU). Patients with a highest ICDSC score of 4 or more were diagnosed with delirium. We examined independent candidate predictors of delirium using multivariate logistic regression analysis and developed the following scoring formula, the delirium prediction score (DPS), using independent predictors of delirium and their regression coefficients: DPS=inferior vena cava diameter+C-reactive protein (and additionally +10 for patients with a history of cerebral infarction). Receiver operating curve analysis indicated that evaluation using this scoring system at the time of admission was able to predict delirium with high accuracy (C-statistic: 0.885). In addition, the calculated scores had significantly positive correlations with duration of CCU stay and overall length of hospital stay.

CONCLUSIONS

We established a novel scoring system to predict on admission the likelihood of development of delirium in ADHF patients; this system also predicts prolongation of intensive care and hospital stay.

摘要

背景

谵妄是急性失代偿性心力衰竭(ADHF)患者预后不良的因素。本研究旨在确定ADHF患者入院时谵妄的预测因素,并建立一个评分公式以识别谵妄高危患者。

方法与结果

我们记录了120例ADHF患者在冠心病监护病房(CCU)住院期间的重症监护谵妄筛查清单(ICDSC)评分。ICDSC评分最高为4分或更高的患者被诊断为谵妄。我们使用多因素逻辑回归分析检查谵妄的独立候选预测因素,并使用谵妄的独立预测因素及其回归系数建立了以下评分公式,即谵妄预测评分(DPS):DPS = 下腔静脉直径 + C反应蛋白(有脑梗死病史的患者再加10分)。受试者工作特征曲线分析表明,入院时使用该评分系统进行评估能够高精度地预测谵妄(C统计量:0.885)。此外,计算出的评分与CCU住院时间和总住院时间显著正相关。

结论

我们建立了一种新的评分系统,用于预测ADHF患者入院时发生谵妄的可能性;该系统还可预测重症监护和住院时间的延长。

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