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重症监护病房(ICU)特定结局预测因素的识别:来自单一机构的内科、外科和心胸外科ICU的比较。

The identification of ICU-specific outcome predictors: a comparison of medical, surgical, and cardiothoracic ICUs from a single institution.

作者信息

Kollef M H

机构信息

Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.

出版信息

Heart Lung. 1995 Jan-Feb;24(1):60-6. doi: 10.1016/s0147-9563(05)80096-2.

DOI:10.1016/s0147-9563(05)80096-2
PMID:7706101
Abstract

OBJECTIVES

To identify ICU-specific predictors of mortality.

DESIGN

An inception cohort study.

SETTING

Barnes Hospital, an academic tertiary care center.

PATIENTS

Consecutive patients, requiring mechanical ventilation, admitted to the medical intensive care unit (ICU) (75 patients), surgical ICU (100 patients), and cardiothoracic ICU (102 patients).

INTERVENTIONS

Prospective data collection and outcomes evaluation.

MEASUREMENTS AND MAIN RESULTS

Stepwise logistic regression analysis identified the following variables to be independent predictors of mortality for the individual ICUs: medical ICU, an Organ System Failure Index (OSFi) greater than or equal to 3; surgical ICU, OSFI greater than or equal to 3; cardiothoracic ICU, OSFI greater than or equal to 3, requiring acute dialysis, and the occurrence of an iatrogenic event. The same analysis was repeated after removing the OSFI as a potential confounding variable. Independent predictors of mortality identified in this subsequent analysis were as follows: medical ICU, occurrence of renal failure; surgical ICU, supine head positioning, acute physiology score greater than or equal to 10, preadmission lifestyle score greater than or equal to 2; cardiothoracic ICU, requiring acute dialysis, occurrence of ventilator-associated pneumonia, and the occurrence of an iatrogenic event.

CONCLUSIONS

We identified the presence of ICU-specific predictors of mortality amongst the three ICUs examined. These data suggest that ICU-specific interventions could be developed to improve the quality of patient care and potentially to reduce patient mortality.

摘要

目的

确定重症监护病房(ICU)特有的死亡预测因素。

设计

一项起始队列研究。

地点

巴恩斯医院,一家学术性三级医疗中心。

患者

连续入住内科重症监护病房(75例患者)、外科重症监护病房(100例患者)和心胸外科重症监护病房(102例患者)且需要机械通气的患者。

干预措施

前瞻性数据收集和结局评估。

测量指标及主要结果

逐步逻辑回归分析确定了以下变量为各ICU死亡的独立预测因素:内科重症监护病房,器官系统衰竭指数(OSFi)大于或等于3;外科重症监护病房,OSFI大于或等于3;心胸外科重症监护病房,OSFI大于或等于3、需要急性透析以及发生医源性事件。在去除OSFI作为潜在混杂变量后重复相同分析。在后续分析中确定的死亡独立预测因素如下:内科重症监护病房,肾衰竭的发生;外科重症监护病房,仰卧位头部位置、急性生理学评分大于或等于10、入院前生活方式评分大于或等于2;心胸外科重症监护病房,需要急性透析、呼吸机相关性肺炎的发生以及医源性事件的发生。

结论

我们在所研究的三个ICU中确定了特定于ICU的死亡预测因素。这些数据表明,可以制定特定于ICU的干预措施以提高患者护理质量并可能降低患者死亡率。

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