THE USE OF RISK PREDICTIONS TO IDENTIFY CANDIDATES FOR INTERMEDIATE CARE UNITS - IMPLICATIONS FOR INTENSIVE-CARE UTILIZATION AND COST
THE USE OF RISK PREDICTIONS TO IDENTIFY CANDIDATES FOR INTERMEDIATE CARE UNITS - IMPLICATIONS FOR INTENSIVE-CARE UTILIZATION AND COST
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DOI：
10.1378/chest.108.2.490
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发表时间：
1995-08-01
期刊：
影响因子：
9.6
通讯作者：
DRAPER, EA
中科院分区：
文献类型：
--
作者：
ZIMMERMAN, JE;WAGNER, DP;DRAPER, EA
目的：建立一个预测公式来估计ICU监护入院患者接受生命支持治疗的可能性，并探讨其降低成本和提高ICU利用率的潜力。设计：前瞻性初始队列分析。参与者：美国40家医院的42个ICU，床位超过200张，连续抽样17,440名ICU住院患者。干预措施：开发了一个多变量方程来估计整个ICU住院期间ICU监护入院的生命支持概率。测量：在ICU的前24小时和前7天获得的人口统计学、生理学和治疗信息。结果：影响生命支持（积极）治疗后续风险的最重要因素是诊断、APACHE III急性生理评分、年龄、手术状态、患者在ICU入院前的位置和住院时间。在8040例ICU监护入院患者中，6180例（76.8%）患者的低(
Objective: To develop a predictive equation that estimates the probability of life-supporting therapy among ICU monitor admissions and to explore its potential for reducing cost and improving ICU utilization.Design: Prospective inception cohort analysis.Participants: Forty-two ICUs in 40 US hospitals with more than 200 beds and a consecutive sample of 17,440 ICU admissions.Interventions: A multivariate equation was developed to estimate the probability of life support for ICU monitoring admissions during an entire ICU stay.Measurements: Demographic, physiologic, and treatment information obtained during the first 24 h in the ICU and over the first 7 ICU days.Results: The most important determinants of subsequent risk for life-supporting (active) treatment were diagnosis, the acute physiology score of APACHE III, age, operative status, and the patient's location and hospital length of stay before ICU admission, Among 8,040 ICU monitoring admissions, 6,180 (76.8%) had a low (