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电子病历工具在预测癌症住院患者6个月死亡率方面的性能。

Performance of electronic medical record tool in predicting 6-month mortality in hospitalized patients with cancer.

作者信息

Kulkarni Nita S, Landler Matthew P, Cohen Elaine R, Wayne Diane B, Szmuilowicz Eytan

机构信息

Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Department of Medicine and Medical Education, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

出版信息

J Hosp Med. 2025 Aug;20(8):829-836. doi: 10.1002/jhm.70012. Epub 2025 Feb 17.

Abstract

BACKGROUND

A systematic tool to identify hospitalized patients with high mortality risk may be beneficial for targeting palliative care to those in greatest need.

OBJECTIVE

Evaluate the performance of the End-of-life Index (EOLI; Epic Systems Corporation) in identifying patients at the highest 6-month mortality risk among hospitalized patients with cancer.

METHODS

We conducted a retrospective study of adults with cancer admitted to oncology services in a 959-bed hospital between July 1 and December 31, 2023. We evaluated EOLI score performance in determining mortality risk using the area under the receiver operating characteristic curve (AUC). The primary outcome was 6-month mortality for patients with an EOLI score above and below the optimal threshold value. Secondary outcomes included in-hospital mortality, 30-day mortality, length of stay, intensive care unit (ICU) utilization, palliative care consultation, do-not-resuscitate status on discharge, and discharge disposition.

RESULTS

The EOLI score had moderate accuracy in identifying patients at higher risk of 6-month mortality (AUC: 0.71) with an optimal threshold value of 40. For patients with EOLI > 40 and < 40, the 6-month mortality was 45.9% and 16.3%, respectively (p < .001). Patients with EOLI > 40 had higher ICU utilization (12.4% vs. 6.5%, p = .002) and were more likely to be discharged to a location other than home (13.5% vs. 5.3%; p < .001).

CONCLUSIONS

For hospitalized patients with cancer, the EOLI shows moderate accuracy in identifying patients with a high risk of 6-month mortality. As a screening tool, the EOLI can be used to identify patients who may benefit from timely palliative care.

摘要

背景

一种用于识别高死亡风险住院患者的系统工具可能有助于将姑息治疗靶向最有需要的患者。

目的

评估临终指数(EOLI;Epic Systems公司)在识别癌症住院患者中6个月死亡风险最高的患者方面的性能。

方法

我们对2023年7月1日至12月31日期间在一家拥有959张床位的医院接受肿瘤服务的成年癌症患者进行了一项回顾性研究。我们使用受试者工作特征曲线下面积(AUC)评估EOLI评分在确定死亡风险方面的性能。主要结局是EOLI评分高于和低于最佳阈值的患者的6个月死亡率。次要结局包括住院死亡率、30天死亡率、住院时间、重症监护病房(ICU)使用率、姑息治疗会诊、出院时的不复苏状态以及出院处置情况。

结果

EOLI评分在识别6个月死亡风险较高的患者方面具有中等准确性(AUC:0.71),最佳阈值为40。对于EOLI>40和<40的患者,6个月死亡率分别为45.9%和16.3%(p<.001)。EOLI>40的患者ICU使用率更高(12.4%对6.5%,p=.002),并且更有可能出院到非家庭地点(13.5%对5.3%;p<.001)。

结论

对于癌症住院患者,EOLI在识别6个月死亡风险高的患者方面显示出中等准确性。作为一种筛查工具,EOLI可用于识别可能从及时的姑息治疗中受益的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5dc/12318460/986e21ca0f4a/JHM-20-829-g001.jpg

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