TY - JOUR
T1 - Accuracy of prognosis prediction by PPI in hospice inpatients with cancer
T2 - A multi-centre prospective study
AU - Subramaniam, Sivakumar
AU - Thorns, Andrew
AU - Ridout, Martin
AU - Thirukkumaran, Thiru
AU - Osborne, Thomas
PY - 2013/9
Y1 - 2013/9
N2 - The Palliative Prognostic Index (PPI) is a prognostication tool for palliative care patients based on clinical indices developed in Japan and further validated by one study in the UK. The aim of this study was to test its prediction accuracy in a large inpatient hospice sample. The admitting doctor in three inpatient hospices calculated the PPI score on admission. Two hundred and sixty-two patients were included in this study. Based on the PPI score, three subgroups were identified. Group 1 corresponded to patients with PPI ≤4 and the median survival of 53 days (95% CI 40 to 80 days). Group 2 corresponded to those with PPI >4 and ≤6 and the median survival 15 days (95% CI 12 to 26 days) and Group 3 corresponded to patients with PPI >6 and the median survival of 5 days (95% CI 3 to 7 days). In this study, PPI was able to identify patients' likelihood of dying within 3 weeks with a sensitivity of 64% and specificity of 83%. It was able to identify a 6-week survival chance with a sensitivity of 62% and specificity of 86%. A one-unit increase in PPI score was estimated to increase the hazard for death by a factor of 1.33 (95% CI 1.26 to 1.40), based on fitting a stratified Cox proportional hazards model. The authors conclude that PPI can be used to predict prognosis for patients with advanced cancer.
AB - The Palliative Prognostic Index (PPI) is a prognostication tool for palliative care patients based on clinical indices developed in Japan and further validated by one study in the UK. The aim of this study was to test its prediction accuracy in a large inpatient hospice sample. The admitting doctor in three inpatient hospices calculated the PPI score on admission. Two hundred and sixty-two patients were included in this study. Based on the PPI score, three subgroups were identified. Group 1 corresponded to patients with PPI ≤4 and the median survival of 53 days (95% CI 40 to 80 days). Group 2 corresponded to those with PPI >4 and ≤6 and the median survival 15 days (95% CI 12 to 26 days) and Group 3 corresponded to patients with PPI >6 and the median survival of 5 days (95% CI 3 to 7 days). In this study, PPI was able to identify patients' likelihood of dying within 3 weeks with a sensitivity of 64% and specificity of 83%. It was able to identify a 6-week survival chance with a sensitivity of 62% and specificity of 86%. A one-unit increase in PPI score was estimated to increase the hazard for death by a factor of 1.33 (95% CI 1.26 to 1.40), based on fitting a stratified Cox proportional hazards model. The authors conclude that PPI can be used to predict prognosis for patients with advanced cancer.
UR - http://www.scopus.com/inward/record.url?scp=84901218079&partnerID=8YFLogxK
U2 - 10.1136/bmjspcare-2012-000239
DO - 10.1136/bmjspcare-2012-000239
M3 - Article
AN - SCOPUS:84901218079
SN - 2045-435X
VL - 3
SP - 324
EP - 329
JO - BMJ Supportive and Palliative Care
JF - BMJ Supportive and Palliative Care
IS - 3
ER -
