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[用于重症监护病房活动登记的评分系统SAPS II和NEMS的经验]

[Experiences with scoring systems SAPS II and NEMS for registration of activities in an intensive care unit].

作者信息

Haagensen R, Jamtli B, Moen H, Stokland O

机构信息

Postoperativ/Intensivavdelingen Kirurgisk divisjon Ullevål sykehus 0407 Oslo.

出版信息

Tidsskr Nor Laegeforen. 2001 Feb 28;121(6):687-90.

PMID:11293349
Abstract

BACKGROUND

Intensive care is highly expensive, hence the requirement of efficient use of resources calls for evaluation of the severity of disease or injury for each individual patient, so that management may be optimised.

MATERIAL AND METHODS

At Ullevaal University Hospital, two different scoring systems have been used since 1996: SAPS II (Simplified Acute Physiology Score) for severity of illness and NEMS (Nine Equivalents of Nursing Manpower Use Score) for assessment of resource utilisation.

RESULTS

A significant relationship between severity of illness and mortality was found. Length of stay in ICU correlated with increasing SAPS II score in the range 0 to 50, but at higher scores no relationship was found. Patients with trauma and cardiovascular surgical patients used most of the resources. 79% of total NEMS score consisted of vital signs monitoring, intravenous drug medication and mechanical ventilation of the patients.

INTERPRETATION

SAPS II and NEMS scoring systems provide useful information needed in the assessment of patient care in the ICU and are helpful in the documentation of financial and medical resource needs.

摘要

背景

重症监护成本高昂,因此,为高效利用资源,需要评估每位患者疾病或损伤的严重程度,以便优化治疗管理。

材料与方法

自1996年以来,乌勒瓦尔大学医院使用了两种不同的评分系统:用于评估疾病严重程度的SAPS II(简化急性生理学评分)和用于评估资源利用情况的NEMS(护理人力使用九当量评分)。

结果

发现疾病严重程度与死亡率之间存在显著关联。在0至50分的范围内,ICU住院时间与SAPS II评分升高相关,但评分更高时则未发现相关性。创伤患者和心血管外科手术患者使用了大部分资源。NEMS总分的79%包括生命体征监测、静脉用药和患者的机械通气。

解读

SAPS II和NEMS评分系统为评估ICU患者护理提供了所需的有用信息,有助于记录财务和医疗资源需求。

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引用本文的文献

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To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the Critical Care Information System (CCIS) Ontario, Canada.利用 MODS 和 NEMS 并结合加拿大安大略省重症监护信息系统 (CCIS) 中的其他六个独立变量,开发一种 ICU 入住后前 24 小时的区域性 ICU 死亡率预测模型。
J Intensive Care. 2016 Feb 29;4:16. doi: 10.1186/s40560-016-0143-6. eCollection 2016.