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ICU 严重程度与低死亡风险患者结局的关联。

The Association of ICU Acuity With Outcomes of Patients at Low Risk of Dying.

机构信息

Clinical Excellence Research Center, Department of Medicine, Stanford University, Stanford, CA.

Division of Pulmonary and Critical Care, Department of Medicine, Oregon Health & Science University, Portland, OR.

出版信息

Crit Care Med. 2018 Mar;46(3):347-353. doi: 10.1097/CCM.0000000000002798.

Abstract

OBJECTIVE

Many ICU patients do not require critical care interventions. Whether aggressive care environments increase risks to low-acuity patients is unknown. We evaluated whether ICU acuity was associated with outcomes of low mortality-risk patients. We hypothesized that admission to high-acuity ICUs would be associated with worse outcomes. This hypothesis was based on two possibilities: 1) high-acuity ICUs may have a culture of aggressive therapy that could lead to potentially avoidable complications and 2) high-acuity ICUs may focus attention toward the many sicker patients and away from the fewer low-risk patients.

DESIGN

Retrospective cohort study.

SETTING

Three hundred twenty-two ICUs in 199 hospitals in the Philips eICU database between 2010 and 2015.

PATIENTS

Adult ICU patients at low risk of dying, defined as an Acute Physiology and Chronic Health Evaluation-IVa-predicted mortality of 3% or less.

EXPOSURE

ICU acuity, defined as the mean Acute Physiology and Chronic Health Evaluation IVa score of all admitted patients in a calendar year, stratified into quartiles.

MEASUREMENTS AND MAIN RESULTS

We used generalized estimating equations to test whether ICU acuity is independently associated with a primary outcome of ICU length of stay and secondary outcomes of hospital length of stay, hospital mortality, and discharge destination. The study included 381,997 low-risk patients. Mean ICU and hospital length of stay were 1.8 ± 2.1 and 5.2 ± 5.0 days, respectively. Mean Acute Physiology and Chronic Health Evaluation IVa-predicted hospital mortality was 1.6% ± 0.8%; actual hospital mortality was 0.7%. In adjusted analyses, admission to low-acuity ICUs was associated with worse outcomes compared with higher-acuity ICUs. Specifically, compared with the highest-acuity quartile, ICU length of stay in low-acuity ICUs was increased by 0.24 days; in medium-acuity ICUs by 0.16 days; and in high-acuity ICUs by 0.09 days (all p < 0.001). Similar patterns existed for hospital length of stay. Patients in lower-acuity ICUs had significantly higher hospital mortality (odds ratio, 1.28 [95% CI, 1.10-1.49] for low-; 1.24 [95% CI, 1.07-1.42] for medium-, and 1.14 [95% CI, 0.99-1.31] for high-acuity ICUs) and lower likelihood of discharge home (odds ratio, 0.86 [95% CI, 0.82-0.90] for low-, 0.88 [95% CI, 0.85-0.92] for medium-, and 0.95 [95% CI, 0.92-0.99] for high-acuity ICUs).

CONCLUSIONS

Admission to high-acuity ICUs is associated with better outcomes among low mortality-risk patients. Future research should aim to understand factors that confer benefit to patients with different risk profiles.

摘要

目的

许多 ICU 患者并不需要进行关键护理干预。目前尚不清楚积极的护理环境是否会增加低危患者的风险。我们评估了 ICU 严重程度是否与低死亡率风险患者的预后结果相关。我们假设,入住高度紧张的 ICU 会导致更差的预后。这一假设基于两种可能性:1)高度紧张的 ICU 可能存在激进治疗的文化,从而导致潜在可避免的并发症;2)高度紧张的 ICU 可能将注意力集中在更多的重病患者身上,而忽略了较少的低危患者。

设计

回顾性队列研究。

地点

2010 年至 2015 年间,Philips eICU 数据库中的 199 家医院的 322 个 ICU。

患者

死亡风险低的成年 ICU 患者,定义为急性生理学和慢性健康评估-IVa 预测死亡率为 3%或更低。

暴露

ICU 严重程度,定义为当年所有入住患者的平均急性生理学和慢性健康评估-IVa 评分,分为四分位数。

测量和主要结果

我们使用广义估计方程来检验 ICU 严重程度是否与 ICU 住院时间的主要结局以及医院住院时间、医院死亡率和出院去向的次要结局独立相关。研究纳入了 381997 例低危患者。平均 ICU 和医院住院时间分别为 1.8±2.1 和 5.2±5.0 天。平均急性生理学和慢性健康评估-IVa 预测的医院死亡率为 1.6%±0.8%;实际医院死亡率为 0.7%。在调整后的分析中,与高度紧张的 ICU 相比,入住低度紧张的 ICU 与较差的预后相关。具体而言,与最高四分位数相比,低危 ICU 的 ICU 住院时间延长了 0.24 天;中危 ICU 延长了 0.16 天;高危 ICU 延长了 0.09 天(均 P<0.001)。住院时间也存在类似的模式。低危 ICU 患者的医院死亡率显著升高(比值比,1.28[95%置信区间,1.10-1.49]为低危;1.24[95%置信区间,1.07-1.42]为中危,1.14[95%置信区间,0.99-1.31]为高危),出院回家的可能性较低(比值比,0.86[95%置信区间,0.82-0.90]为低危;0.88[95%置信区间,0.85-0.92]为中危,0.95[95%置信区间,0.92-0.99]为高危)。

结论

入住高度紧张的 ICU 与低死亡率风险患者的预后改善相关。未来的研究应旨在了解为不同风险特征的患者带来益处的因素。

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本文引用的文献

1
Diffusion of Evidence-based Intensive Care Unit Organizational Practices. A State-Wide Analysis.
Ann Am Thorac Soc. 2017 Feb;14(2):254-261. doi: 10.1513/AnnalsATS.201607-579OC.
2
Priority Levels in Medical Intensive Care at an Academic Public Hospital.
JAMA Intern Med. 2017 Feb 1;177(2):280-281. doi: 10.1001/jamainternmed.2016.8060.
4
Critical Care Medicine Beds, Use, Occupancy, and Costs in the United States: A Methodological Review.
Crit Care Med. 2015 Nov;43(11):2452-9. doi: 10.1097/CCM.0000000000001227.
7
The relationship between hospital volume and mortality in severe sepsis.
Am J Respir Crit Care Med. 2014 Sep 15;190(6):665-74. doi: 10.1164/rccm.201402-0289OC.
9
ICU bed supply, utilization, and health care spending: an example of demand elasticity.
JAMA. 2014 Feb 12;311(6):567-8. doi: 10.1001/jama.2013.283800.

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