1 Palliative and Supportive Services, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia.
2 Palliative Care Outcomes Collaboration (PCOC), Australian Health Services Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Palliat Med. 2019 Jun;33(6):693-703. doi: 10.1177/0269216319839024. Epub 2019 Mar 27.
Understanding current patterns of functional decline will inform patient care and has health service and resource implications.
This prospective consecutive cohort study aims to map the shape of functional decline trajectories at the end of life by diagnosis.
Changes in functional status were measured using the Australia-modified Karnofsky Performance Status Scale. Segmented regression was used to identify time points prior to death associated with significant changes in the slope of functional decline for each diagnostic cohort. Sensitivity analyses explored the impact of severe symptoms and late referrals, age and sex.
SETTING/PARTICIPANTS: In all, 115 specialist palliative care services submit prospectively collected patient data to the national Palliative Care Outcomes Collaboration across Australia. Data on 55,954 patients who died in the care of these services between 1 January 2013 and 31 December 2015 were included.
Two simplified functional decline trajectories were identified in the last 4 months of life. Trajectory 1 has an almost uniform slow decline until the last 14 days of life when function declines more rapidly. Trajectory 2 has a flatter more stable trajectory with greater functional impairment at 120 days before death, followed by a more rapid decline in the last 2 weeks of life. The most rapid rate of decline occurs in the last 2 weeks of life for all cohorts.
Two simplified trajectories of functional decline in the last 4 months of life were identified for five patient cohorts. Both trajectories present opportunities to plan for responsive healthcare that will support patients and families.
了解当前功能衰退的模式将为患者护理提供信息,并对医疗服务和资源产生影响。
本前瞻性连续队列研究旨在通过诊断来描绘生命末期功能衰退轨迹的形状。
使用澳大利亚改良 Karnofsky 表现状态量表来衡量功能状态的变化。分段回归用于确定与每个诊断队列的功能衰退斜率发生显著变化相关的死亡前时间点。敏感性分析探讨了严重症状和晚期转诊、年龄和性别对功能衰退的影响。
地点/参与者:共有 115 个专科姑息治疗服务机构向澳大利亚全国姑息治疗结果协作组织提交前瞻性收集的患者数据。纳入了 2013 年 1 月 1 日至 2015 年 12 月 31 日期间在这些服务机构中死亡的 55954 名患者的数据。
在生命的最后 4 个月中确定了两种简化的功能衰退轨迹。轨迹 1 在生命的最后 14 天之前呈现几乎均匀的缓慢下降,然后功能下降更快。轨迹 2 具有更平坦、更稳定的轨迹,在死亡前 120 天功能障碍更大,然后在生命的最后 2 周内迅速下降。所有队列中下降最快的速度发生在生命的最后 2 周内。
为五个患者队列确定了生命最后 4 个月中两种简化的功能衰退轨迹。两种轨迹都为规划响应式医疗保健提供了机会,这将支持患者和家庭。