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在危重病之前,身体损伤和整体健康感知可预测生存。

Physical impairment and perceived general health preceding critical illness is predictive of survival.

机构信息

Gelre Hospitals Apeldoorn, Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands.

Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.

出版信息

J Crit Care. 2019 Jun;51:51-56. doi: 10.1016/j.jcrc.2019.01.027. Epub 2019 Jan 29.

Abstract

PURPOSE

We hypothesized that item response based assessment of physical reserve preceding ICU admission is a predictor of survival.

METHODS

We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical component score (PCS-12) from the Short-form 12 (SF-12) before admission by patients or by close proxies within 72 h after ICU admission during 1 year.

RESULTS

We developed four logistic regression models to predict 1 year mortality using the predictors age, gender, ALDS, SF-1, PCS-12. A total of 510 patients participated. Twelve months after ICU discharge, 110 patients (22%) had died. Pre-admission ALDS (p = .004), and SF-1 (p = .012) improved the prediction models with age and gender PCS-12 showed no association with mortality (p = .062). Adding the ALDS (p = .049) and the SF-1 (p = .048) to a model with age, gender and the APACHE II score (improved the model. Adding PCS-12 showed no association with mortality (p = .355).

CONCLUSIONS

Physical reserve as assessed by ALDS and perceived general health, preceding ICU admission is predictive of mortality. Obtaining patient's physical reserve or pre-existing perceived general health should be part of routine assessment whether a patient may benefit from ICU admission.

摘要

目的

我们假设在 ICU 入院前对身体储备进行基于项目的评估是生存的预测指标。

方法

我们在 ICU 入院后 72 小时内通过患者或其近亲属评估入院前的身体功能(使用学术医疗中心线性残疾评分 [ALDS])和生活质量(使用 SF-12 的第一个问题和物理成分评分 [PCS-12])。

结果

我们开发了四个逻辑回归模型,使用年龄、性别、ALDS、SF-1、PCS-12 等预测因素预测 1 年死亡率。共有 510 名患者参与。在 ICU 出院后 12 个月,有 110 名患者(22%)死亡。入院前 ALDS(p=0.004)和 SF-1(p=0.012)改善了预测模型,而年龄和性别 PCS-12 与死亡率无关联(p=0.062)。将 ALDS(p=0.049)和 SF-1(p=0.048)添加到包含年龄、性别和 APACHE II 评分的模型中(改善了模型)。添加 PCS-12 与死亡率无关联(p=0.355)。

结论

在 ICU 入院前评估的身体储备(通过 ALDS 和感知的总体健康状况来评估)是死亡率的预测指标。在考虑患者是否可能从 ICU 入院中受益时,应获取患者的身体储备或预先存在的总体健康感知。

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