Yoon Seok-Joon, Choi Sung-Eun, LeBlanc Thomas W, Suh Sang-Yeon
1 Department of Family Medicine, Chungnam National University School of Medicine, Daejeon, South Korea.
2 Department of Statistics, Dongguk University-Seoul, Seoul, South Korea.
Am J Hosp Palliat Care. 2018 Sep;35(9):1168-1173. doi: 10.1177/1049909118770604. Epub 2018 Apr 16.
The Palliative Performance Scale (PPS) is a useful prognostic index in palliative care. Changes in PPS score over time may add useful prognostic information beyond a single measurement.
To investigate the usefulness of repeated PPS measurement to predict survival time of inpatients with advanced cancer admitted to a palliative care unit (PCU) in South Korea.
Prospective observational cohort study.
SETTING/PATIENTS: 138 patients with advanced cancer admitted to a PCU in a university hospital in South Korea from June 2015 to May 2016.
The PPS score was measured on enrollment and after 1 week. We used Cox regression analyses to calculate hazard ratios (HRs) to demonstrate the relationship between survival time and the groups categorized by PPS and changes in PPS score, after adjusting for clinical variables.
There were significant differences in survival time among 3 groups stratified by PPS (10-20, 30-50, and ≥60) after 1 week. A group with a PPS of 10 to 20 at 1 week had the highest risk (HR: 5.18 [95% confidence interval, 1.57-17.04]) for shortened survival. On the contrary, there were no significant differences among these groups by initial PPS alone. Similarly, change in PPS was prognostic; median survival was 13 (10.96-15.04) days for those whose PPS decreased after 1 week and 27 (10.18-43.82) days for those with stable or increased PPS ( P < .001).
Measuring PPS over time can be very helpful for predicting survival in terminally ill patients with cancer, beyond a single PPS measure at PCU admission.
姑息治疗表现量表(PPS)是姑息治疗中一个有用的预后指标。随着时间推移,PPS评分的变化可能会提供超出单次测量的有用预后信息。
探讨重复测量PPS对预测韩国一家姑息治疗病房(PCU)收治的晚期癌症住院患者生存时间的作用。
前瞻性观察队列研究。
地点/患者:2015年6月至2016年5月期间,韩国一家大学医院PCU收治的138例晚期癌症患者。
在入组时和1周后测量PPS评分。我们使用Cox回归分析计算风险比(HR),以显示在调整临床变量后,生存时间与按PPS及PPS评分变化分类的组之间的关系。
1周后,根据PPS分层的3组(10 - 20、30 - 50和≥60)患者的生存时间存在显著差异。1周时PPS为10至20的组生存时间缩短的风险最高(HR:5.18 [95%置信区间,1.57 - 17.04])。相反,仅根据初始PPS,这些组之间没有显著差异。同样,PPS的变化具有预后意义;1周后PPS降低的患者中位生存时间为13(10.96 - 15.04)天,PPS稳定或升高的患者为27(10.18 - 43.82)天(P < .001)。
对于预测晚期癌症患者的生存情况,随着时间测量PPS比在PCU入院时单次测量PPS更有帮助。