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End-of-life decision-making in very old critically ill patients
Sigal Sviri1, Isao Nagata2,3, Wojciech Szczeklik4
1Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Ein Karem, Israel. sigals@hadassah.org.il.
European Geriatric Medicine
|June 12, 2026
Summary
End-of-life care in the intensive care unit (ICU) for elderly patients involves complex decisions. Avoiding non-beneficial treatment and focusing on patient values improves care quality.
Area of Science:
- Critical Care Medicine
- Geriatrics
- Medical Ethics
Background:
- End-of-life decision-making in intensive care units (ICUs) is ethically challenging, especially for the very old.
- Decisions regarding life-sustaining treatments are influenced by prognosis, patient values, and socioeconomic factors.
- Non-beneficial treatment, offering little benefit and causing suffering, should be avoided in high-quality end-of-life care.
Purpose of the Study:
- To explore the complexities of end-of-life decision-making in very old ICU patients.
- To examine the role of frailty, functional status, and illness severity in treatment choices.
- To highlight challenges in prognostication and shared decision-making.
Main Methods:
- Analysis of large international cohorts (VIP, VIP2, COVIP) focusing on elderly ICU patients.
- Examination of factors influencing decisions to limit life-sustaining treatment.
- Review of ethical considerations in shared decision-making and surrogate decision-making.
Main Results:
- Frailty is strongly linked to mortality, functional decline, and treatment limitation in very old ICU patients.
- Significant regional variations exist in end-of-life care practices.
- Prognostication is often imprecise, potentially leading to prolonged aggressive treatment.
Conclusions:
- Shared decision-making, aligned with patient goals, is crucial but often difficult to achieve.
- Transparent communication, documentation, and time-limited trials can support goal-of-care reassessment.
- Improving end-of-life care requires addressing frailty, prognostication accuracy, and decision-making processes.
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