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使用均值、热卡填充法和多重填补技术预测哥伦比亚重症监护病房患者的预后。

Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Colombia.

作者信息

Pérez Adriana, Dennis Rodolfo J, Gil Jacky F A, Rondón Martín A, López Adriana

机构信息

Clinical Epidemiology and Biostatistics Unit, School of Medicine, Javeriana University, Cra 7 # 40-62, Piso 2, Bogotá, Colombia.

出版信息

Stat Med. 2002 Dec 30;21(24):3885-96. doi: 10.1002/sim.1391.

DOI:10.1002/sim.1391
PMID:12483773
Abstract

A cohort of intensive care unit (ICU) patients in 20 Colombian ICUs is used to describe the application of three imputation techniques: single, hot deck and multiple imputation. These strategies were used to impute the missing data in the variables used to construct APACHE II scores, a scoring system for the ICU patients that provides an unbiased standardized estimate of the probability of hospital death. Imputed APACHE II scores were then used in the APACHE II model to estimate adjusted hospital mortality rates. The area under the receiver operating characteristic (ROC) curve was used to compare imputation strategies with respect to predictive power. While statistically significant differences were found for the area under the ROC curve, these differences were not clinically significant.

摘要

来自哥伦比亚20个重症监护病房(ICU)的一组患者被用于描述三种插补技术的应用:单一插补、热卡插补和多重插补。这些策略用于插补构建APACHE II评分所用变量中的缺失数据,APACHE II评分是一种针对ICU患者的评分系统,可提供医院死亡概率的无偏标准化估计。然后将插补后的APACHE II评分用于APACHE II模型,以估计调整后的医院死亡率。采用受试者工作特征(ROC)曲线下面积来比较插补策略的预测能力。虽然在ROC曲线下面积方面发现了统计学上的显著差异,但这些差异在临床上并不显著。

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