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识别急诊科中需要分诊和资源分配的高危患者。

Identifying high-risk patients for triage and resource allocation in the ED.

作者信息

Ruger Jennifer Prah, Lewis Lawrence M, Richter Christopher J

机构信息

Department of Epidemiology and Public Health, Yale University School of Medicine, P.O. Box 208034, New Haven, CT 06520, USA.

出版信息

Am J Emerg Med. 2007 Sep;25(7):794-8. doi: 10.1016/j.ajem.2007.01.014.

DOI:10.1016/j.ajem.2007.01.014
PMID:17870484
Abstract

Five-point triage assessment scales currently used in many emergency departments (EDs) across the country have been shown to be accurate and reliable. We have found the system to be highly predictive of outcome (hospital admission, intensive care unit/operating room admission, or death) at either extreme of the scale but much less predictive in the middle triage group. This is problematic because the middle triage acuity group is the largest, in our experience comprising almost half of all patients. Patients triaged to the 2 highest acuity categories (A and B) have admission/ED death rates of 76% and 43%, respectively. In contrast, the 2 lowest acuity categories (D and E) have admission/ED death rates of 1% or less. The middle category (C), however, has an overall admission/ED death rate of 10%, too high to be comfortable with prolonged delays in the ED evaluation of these patients. We studied this group to determine if easily obtainable clinical factors could identify higher-risk patients in this heterogeneous category. Data were obtained from a retrospective, cross-sectional study of all patients seen in 2001 at an urban academic hospital ED. The main outcome measure for multivariate logistic regression models was hospital admission among patients triaged as acuity C. Acuity C patients who were 65 years or older, presenting with weakness or dizziness, shortness of breath, abdominal pain, or a final diagnosis related group diagnosis of psychosis, were more likely to be admitted than patients originally triaged in category B. These findings suggest that a few easily obtainable clinical factors may significantly improve the accuracy of triage and resource allocation among patients assigned with a middle-acuity score.

摘要

目前国内许多急诊科使用的五点分诊评估量表已被证明准确可靠。我们发现该系统在量表两端对结局(住院、重症监护病房/手术室收治或死亡)具有高度预测性,但在中间分诊组的预测性要低得多。这存在问题,因为在我们的经验中,中间分诊 acuity 组是最大的,几乎占所有患者的一半。分诊到最高的两个 acuity 类别(A 和 B)的患者,其住院/急诊科死亡率分别为 76%和 43%。相比之下,最低的两个 acuity 类别(D 和 E)的住院/急诊科死亡率为 1%或更低。然而,中间类别(C)的总体住院/急诊科死亡率为 10%,对于这些患者在急诊科评估中长时间延迟来说,这个比例过高,让人不安。我们对这一组进行了研究,以确定易于获得的临床因素是否能识别出这个异质性类别中风险较高的患者。数据来自对一家城市学术医院急诊科 2001 年诊治的所有患者的回顾性横断面研究。多变量逻辑回归模型的主要结局指标是分诊为 acuity C 的患者的住院情况。65 岁及以上、出现虚弱或头晕、呼吸急促、腹痛或最终诊断相关组诊断为精神病的 acuity C 患者,比最初分诊为 B 类别的患者更有可能住院。这些发现表明,一些易于获得的临床因素可能会显著提高分诊的准确性以及在分配有中等 acuity 评分的患者中进行资源分配的准确性。

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