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简易临床评分可预测急性内科病房入院后30天的死亡率。

The Simple Clinical Score predicts mortality for 30 days after admission to an acute medical unit.

作者信息

Kellett J, Deane B

机构信息

Department of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland.

出版信息

QJM. 2006 Nov;99(11):771-81. doi: 10.1093/qjmed/hcl112. Epub 2006 Oct 17.

Abstract

BACKGROUND

Predictive scores such as APACHE II and SAPS II have been used to assess patients in intensive care units, but only the modified early warning (MEW) score has been used to assess acutely ill general medical patients.

DESIGN

Observational study of predictors of mortality.

SETTING

Small Irish rural hospital.

METHODS

From 17 February 2000 to 29 January 2004, 9,964 consecutive patients admitted as acute medical emergencies were divided into a derivation cohort of 6,736 patients and a validation cohort of 3,228 patients.

RESULTS

In the derivation cohort, 316 patients (4.7%) died within 30 days of hospital admission. Under univariate analysis, age, vital signs and 18 categorical variables were associated with increased risk of death, and nine with reduced risk. Logistic regression identified 16 independent predictors of 30-day mortality, from which the Simple Clinical Score was derived, stratifying patients into five risk classes. In each class, mortality was not significantly different between the derivation and validation cohorts: 0-0.1% for very low risk, 1.5-1.6% for low risk, 3.8-3.9% for average risk, 9.0-10.3% for high risk, and 29.2-34.4% for very high risk.

DISCUSSION

The Simple Clinical Score quickly and accurately identifies patients at both a low and high risk of death from the first to the 30th day after admission, enabling prompt triage and placement within a health-care facility.

摘要

背景

诸如急性生理与慢性健康状况评分系统(APACHE II)和简化急性生理学评分系统(SAPS II)等预测性评分已用于评估重症监护病房的患者,但只有改良早期预警(MEW)评分用于评估急重症普通内科患者。

设计

死亡率预测因素的观察性研究。

地点

爱尔兰小型乡村医院。

方法

从2000年2月17日至2004年1月29日,9964例因急性医疗急症入院的连续患者被分为一个有6736例患者的推导队列和一个有3228例患者的验证队列。

结果

在推导队列中,316例患者(4.7%)在入院30天内死亡。单因素分析显示,年龄、生命体征和18个分类变量与死亡风险增加相关,9个与死亡风险降低相关。逻辑回归确定了30天死亡率的16个独立预测因素,并据此得出简单临床评分,将患者分为五个风险等级。在每个等级中,推导队列和验证队列之间的死亡率无显著差异:极低风险为0 - 0.1%,低风险为1.5 - 1.6%,中等风险为3.8 - 3.9%,高风险为9.0 - 10.3%,极高风险为29.2 - 34.4%。

讨论

简单临床评分能快速、准确地识别入院后第1天至第30天死亡风险低和高的患者,有助于在医疗机构内进行及时分诊和安置。

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