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KMID : 0856920110140010028
Journal of Hospice and Palliative Care
2011 Volume.14 No. 1 p.28 ~ p.33
Predictability of Impending Events for Death within 48 Hours in Terminal Cancer Patients
Hwang In-Cheol

Choi Chung-Hyun
Kim Kyoung-Kon
Lee Kyoung-Shik
Suh Heuy-Sun
Shim Jae-Yong
Abstract
Purpose: Recognition of impending death is crucial not only for efficient communication with the caregiver of
the patient, but also determination of the time to refer to a separate room. Current studies simply list the events
¡®that have already occurred¡¯ around 48 hours before the death. This study is to analyze the predictability of each
event by comparing the time length from ¡®change¡¯ to death.

Methods: Subjects included 160 patients who passed away in a palliative care unit in Incheon. The analysis was limited to 80 patients who had medical records for the last week of their lives. We determined 9 symptoms and 8 signs, and established the standard of ¡®significant change¡¯ of each event before death.

Results: The most common symptom was increased sleeping (53.8%) and the most common sign was decreased blood pressure (BP) (87.5%). The mean time to death within 48 hours was 46.8% in the case of resting dyspnea, 13.6% in the ease of low oxygen saturation, and 36.9% in the case of decreased BP. The symptom(s) which had the highest positive predictive value (PV) for death within 48 hours was shown to be resting dyspnea (83%), whereas the combination of resting dyspnea and confusion/delirium (65%) had the highest negative PV. As for the most common signs before death within 48 hours, the positive PVs were more than 95%, and the negative PV was the highest when decreased BP and low oxygen saturation were combined. The difference in survival patterns between symptoms and signs was significant.

Conclusion: The most reliable symptoms to predict the impending death are resting dyspnea and confusion/delirium, and decline of oxygen saturation and BP are the reliable signs to predict the event.
KEYWORD
Death, Prognosis, Terminally ill, Neoplasms
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