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

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

Ngôn ngữ: eng

Ký hiệu phân loại: 230.071 Education in Christianity, in Christian theology

Thông tin xuất bản: United States : Journal of hospital medicine , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 183305

 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.
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