scholarly journals Development of the Biological Prognostic Score in patients with advanced cancer and prospective verification of its external validity: Comparison with the Palliative Prognostic Index

2015 ◽  
Vol 10 (4) ◽  
pp. 251-258 ◽  
Author(s):  
Masahide Omichi ◽  
Masahiro Narita ◽  
Kesashi Aonuma ◽  
Yasuhiro Munakata ◽  
Naoki Yamamoto ◽  
...  
2019 ◽  
Vol 34 (1) ◽  
pp. 126-133 ◽  
Author(s):  
David Hui ◽  
Jeremy Ross ◽  
Minjeong Park ◽  
Rony Dev ◽  
Marieberta Vidal ◽  
...  

Background: It is unclear if validated prognostic scores such as the Palliative Performance Scale, Palliative Prognostic Index, and Palliative Prognostic Score are more accurate than clinician prediction of survival in patients admitted to an acute palliative care unit with only days of survival. Aim: We compared the prognostic accuracy of Palliative Performance Scale, Palliative Prognostic Index, Palliative Prognostic Score, and clinician prediction of survival in this setting. Design: This is a pre-planned secondary analysis of a prospective study. Setting/participants: We assessed Palliative Performance Scale, Palliative Prognostic Index, Palliative Prognostic Score, and clinician prediction of survival at baseline. We computed their prognostic accuracy using the Concordance index and area under the receiver operating characteristics curve for 7-, 14-, and 30-day survival. Results: A total of 204 patients were included with a median overall survival of 10 days (95% confidence interval: 8–11 days). The Concordance index for Palliative Performance Scale, Palliative Prognostic Index, Palliative Prognostic Score, and clinician prediction of survival were 0.74, 0.71, 0.70, and 0.75, respectively. The areas under the curve for these approaches were 0.82–0.87 for 30-day survival, 0.75–0.80 for 14-day survival, and 0.74–0.81 for 7-day survival. The four prognostic approaches had similar accuracies, with the exception of 7-day survival in which clinician prediction of survival was significantly more accurate than Palliative Prognostic Score (difference: 7%) and Palliative Prognostic Index (difference: 8%). Conclusion: In patients with advanced cancer with days of survival, clinician prediction of survival and Palliative Performance Scale alone were as accurate as Palliative Prognostic Score and Palliative Prognostic Index. These four approaches may be useful for prognostication in acute palliative care units. Our findings highlight how patient population may impact the accuracy of prognostic scores.


2012 ◽  
Vol 30 (3) ◽  
pp. 264-267 ◽  
Author(s):  
Jun Hamano ◽  
Takami Maeno ◽  
Yoshiyuki Kizawa ◽  
Yasuo Shima ◽  
Tetsuhiro Maeno

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Jun Zhou ◽  
Sitao Xu ◽  
Ziye Cao ◽  
Jing Tang ◽  
Xiang Fang ◽  
...  

Abstract Background The predictive value of the prognostic tool for patients with advanced cancer is uncertain in mainland China, especially in the home-based palliative care (HPC) setting. This study aimed to compare the accuracy of the Palliative Prognostic Index (PPI), the Performance Status–Based Palliative Prognostic Index (PS-PPI), and the Chinese Prognosis Scale (ChPS) for patients with advanced cancer in the HPC setting in mainland China. Methods Patients with advanced cancer admitted to the hospice center of Yuebei People’s Hospital between January 2014 and December 2018 were retrospectively calculated the scores according to the three prognostic tools. The Kaplan-Meier method was used to compare survival times among different risk groups. Receiver operating characteristic curve analysis was used to assess the predictive value. The accuracy of 21-, 42- and 90-day survival was compared among the three prognostic tools. Results A total of 1863 patients were included. Survival time among the risk groups of all prognostic tools was significantly different from each other except for the PPI. The AUROC of the ChPS was significantly higher than that of the PPI and PS-PPI for 7-, 14, 21-, 42-, 90-, 120-, 150- and 180-day survival (P < 0.05). The AUROC of the PPI and PS-PPI were not significantly different from each other (P > 0.05). Conclusions The ChPS is more suitable than the PPI and PS-PPI for advanced cancer patients in the HPC setting. More researches are needed to verify the predictive value of the ChPS, PPI, and PS-PPI in the HPC setting in the future.


2021 ◽  
pp. 014556132110051
Author(s):  
Takehito Kishino ◽  
Terushige Mori ◽  
Takenori Miyashita ◽  
Yohei Ouchi ◽  
Yasushi Samukawa ◽  
...  

Objectives: Palliative care patients with head and neck squamous cell carcinoma (HNSCC) often experience dysphagia and airway trouble; thus, each patient requires a specific palliative care plan based on their prognostication. However, no established specific prognostic tool performed on the day of starting end-of-life care is available for such patients. We assessed the accuracy of Glasgow prognostic score (GPS) and palliative prognostic index (PPI) and their combination to establish a specified prognostic tool for patients with HNSCC in end-of-life setting. Methods: A retrospective clinical chart review was undertaken on patients with HNSCC in end-of life setting who were decided in Kagawa University Hospital and National Hospital Organization Shikoku Cancer Center between April 2011 and March 2019. The patients were divided into 2 categories according to GPS (0-1 and 2) and PPI (groups A-B and C). These were combined into 4 categories (PPI group A-B and GPS score 0-1: good; PPI group A-B and GPS score 2: intermediate; PPI group C and GPS score 2: poor; and PPI group C and GPS score 0-1: others). The survival curves were compared for the former 3 categories. Results: The median survival of the scores 0-1 and 2 on GPS were 114 (72-148) and 39 (25-52) days, respectively ( P < .01). These of groups A-B and C on PPI were 79 (64-99) and 16 (9-29) days, respectively ( P < .01). The median survival of the good, intermediate, and poor categories was 127 (73-149), 64 (44-80), and 15 (9-27) days, respectively ( P < .01 among all categories). Conclusions: In this study, the survival of terminally ill patients with HNSCC can be predicted by the GPS, PPI, and their combination with sufficient probability.


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