Prognosis prediction with two calculations of Palliative Prognostic Index: further prospective validation in hospice cancer patients with multicentre study

2018 ◽  
Vol 9 (3) ◽  
pp. 326-331 ◽  
Author(s):  
Sivakumar Subramaniam ◽  
Pauline Dand ◽  
Martin Ridout ◽  
Declan Cawley ◽  
Sophie Miller ◽  
...  

ObjectivesIn palliative care settings, predicting prognosis is important for patients and clinicians. The Palliative Prognostic Index (PPI), a prognostic tool calculated using clinical indices alone has been validated within cancer population. This study was to further test the discriminatory ability of the PPI (ie, its ability to determine whether a subject will live more or less than a certain amount of time) in a larger sample but with a palliative care context and to compare predictions at two different points in time.MethodsMulticentre, prospective, observational study in 10 inpatient hospices in the UK. The PPI score was calculated on the day of admission (PPI1) and again once on days 3–5 of inpatient stay (PPI2). Patients were followed up for 6 weeks or until death, whichever was earlier.ResultsOf the 1164 patients included in the study, 962 had both scores available. The results from PPI2 showed improved sensitivity, specificity, positive predictive value and negative predictive value compared with PPI1. For PPI1versus PPI2, area under receiver operator character curve (ROC) for <21 days were 0.73 versus 0.82 and for ≥42 days prediction 0.72 versus 0.80. The median survival days for patients with PPI1 ≤4, 4.5–6 and >6 were 38 (31 to 44), 17 (14 to 19) and 5 (4 to 7).ConclusionThis study showed improved discriminatory ability using the PPI score calculated between day 3and day5 of admission compared with that calculated on admission. This study further validated PPI as a prognostic tool within a palliative care population and showed recording at two time points improved accuracy.

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.


2020 ◽  
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. flgastro-2020-101709
Author(s):  
Joseph Low ◽  
Catherine Carroll ◽  
Jo Wilson ◽  
Rachel Craig ◽  
Shree Vadera ◽  
...  

BackgroundMany liver patients have unmet palliative care needs, but liver clinicians are unclear whom to refer to specialist palliative care (SPC). The Supportive and Palliative Care Indicator Tool (SPICT) and the Bristol Prognostic Screening Tool (BPST) could help identify suitable patients, but neither has been tested for this role. This study evaluated their role as screening tools for palliative care needs and for predicting 12-month mortality.MethodsA case note review of hepatology in-patients, who were not peritransplant and post-transplant status, was conducted in one tertiary unit. Main outcomes were clinical judgement of need for SPC referral, BPST scores, SPICT attribution of caseness and 12-month survival status. Discriminatory ability of tools was assessed using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the receiver operating characteristic (AUROC) curve.Results117 medical notes were reviewed for survival analysis, 47 of which were additionally assessed for suitability for SPC referral, using clinical judgement. SPICT (sensitivity=93%; PPV=93%; AUROC=0.933) and BPST (sensitivity=59%, PPV=79%, AUROC=0.693) demonstrated excellent and good performance, respectively, in predicting patients’ need for SPC referral. SPICT and BPST only had moderate ability at predicting death at 12 months (PPV: 54% and 56%, respectively).ConclusionSPICT and BPST show potential as screening tools for identifying patients for referral to SPC. Further work is needed to determine how to implement these tools in a clinical setting.


2020 ◽  
Author(s):  
Jun Zhou ◽  
Sitao Xu ◽  
Ziye Cao ◽  
Jing Tang ◽  
Ling Qin ◽  
...  

Abstract Background:Thepredictive value of theprognostic tool for patients with advanced cancer isuncertainin 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.


2020 ◽  
Author(s):  
Jun Zhou ◽  
Sitao Xu ◽  
Ziye Cao ◽  
Jing Tang ◽  
Ling Qin ◽  
...  

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 ◽  
Vol 15 ◽  
Author(s):  
Mauricio Fernandes ◽  
Tago Pugliese Branco ◽  
Maria Clara Navarro Fernandez ◽  
Carolina Paparelli ◽  
Mariana Sarkis Braz ◽  
...  

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