PDF(Pubmed)
Abstract：
UNASSIGNED: Predicting length of time to death once the person is unresponsive and deemed to be dying remains uncertain. Knowing approximately how many hours or days dying loved ones have left is crucial for families and clinicians to guide decision-making and plan end-of-life care.
UNASSIGNED: To determine the length of time between becoming unresponsive and death, and whether age, gender, diagnosis or location-of-care predicted length of time to death.
UNASSIGNED: Retrospective cohort study. Time from allocation of an Australia-modified Karnofsky Performance Status (AKPS) 10 to death was analysed using descriptive narrative. Interval-censored survival analysis was used to determine the duration of patient\'s final phase of life, taking into account variation across age, gender, diagnosis and location of death.
UNASSIGNED: A total of 786 patients, 18 years of age or over, who received specialist palliative care: as hospice in-patients, in the community and in aged care homes, between January 1st and October 31st, 2022.
UNASSIGNED: The time to death after a change to AKPS 10 is 2 days (n = 382; mean = 2.1; median = 1). Having adjusted for age, cancer, gender, the standard deviation of AKPS for the 7-day period prior to death, the likelihood of death within 2 days is 47%, with 84% of patients dying within 4 days.
UNASSIGNED: This study provides valuable new knowledge to support clinicians\' confidence when responding to the \'how long\' question and can inform decision-making at end-of-life. Further research using the AKPS could provide greater certainty for answering \'how long\' questions across the illness trajectory.
UNASSIGNED: To determine the length of time between becoming unresponsive and death, and whether age, gender, diagnosis or location-of-care predicted length of time to death.
UNASSIGNED: Retrospective cohort study. Time from allocation of an Australia-modified Karnofsky Performance Status (AKPS) 10 to death was analysed using descriptive narrative. Interval-censored survival analysis was used to determine the duration of patient\'s final phase of life, taking into account variation across age, gender, diagnosis and location of death.
UNASSIGNED: A total of 786 patients, 18 years of age or over, who received specialist palliative care: as hospice in-patients, in the community and in aged care homes, between January 1st and October 31st, 2022.
UNASSIGNED: The time to death after a change to AKPS 10 is 2 days (n = 382; mean = 2.1; median = 1). Having adjusted for age, cancer, gender, the standard deviation of AKPS for the 7-day period prior to death, the likelihood of death within 2 days is 47%, with 84% of patients dying within 4 days.
UNASSIGNED: This study provides valuable new knowledge to support clinicians\' confidence when responding to the \'how long\' question and can inform decision-making at end-of-life. Further research using the AKPS could provide greater certainty for answering \'how long\' questions across the illness trajectory.
摘要：
■一旦该人反应迟钝并被认为正在死亡，预测死亡时间的长短仍然不确定。了解死去的亲人还剩下多少小时或几天，对于家庭和临床医生指导决策和计划临终护理至关重要。
■为了确定反应迟钝和死亡之间的时间长度，无论年龄，性别,诊断或护理地点预测死亡时间长度。
■回顾性队列研究。使用描述性叙述分析了从分配澳大利亚改良的Karnofsky绩效状态（AKPS）10到死亡的时间。间隔删失生存分析用于确定患者生命最后阶段的持续时间，考虑到年龄的差异，性别,死亡的诊断和定位。
■总共786名患者，18岁或以上，接受专科姑息治疗的人:作为临终关怀住院患者，在社区和养老院，1月1日至10月31日,2022年。
■更换AKPS10后的死亡时间为2天（n=382；平均值=2.1；中位数=1）。调整了年龄，癌症,性别,死亡前7天AKPS的标准偏差，2天内死亡的可能性为47%,84%的患者在4天内死亡。
■这项研究提供了有价值的新知识，以支持临床医生在回答“多长时间”问题时的信心，并可以在生命结束时提供决策信息。使用AKPS的进一步研究可以为回答整个疾病轨迹上的“多长时间”问题提供更大的确定性。
■为了确定反应迟钝和死亡之间的时间长度，无论年龄，性别,诊断或护理地点预测死亡时间长度。
■回顾性队列研究。使用描述性叙述分析了从分配澳大利亚改良的Karnofsky绩效状态（AKPS）10到死亡的时间。间隔删失生存分析用于确定患者生命最后阶段的持续时间，考虑到年龄的差异，性别,死亡的诊断和定位。
■总共786名患者，18岁或以上，接受专科姑息治疗的人:作为临终关怀住院患者，在社区和养老院，1月1日至10月31日,2022年。
■更换AKPS10后的死亡时间为2天（n=382；平均值=2.1；中位数=1）。调整了年龄，癌症,性别,死亡前7天AKPS的标准偏差，2天内死亡的可能性为47%,84%的患者在4天内死亡。
■这项研究提供了有价值的新知识，以支持临床医生在回答“多长时间”问题时的信心，并可以在生命结束时提供决策信息。使用AKPS的进一步研究可以为回答整个疾病轨迹上的“多长时间”问题提供更大的确定性。
