The application of the palliative prognostic index, charlson comorbidity index, and Glasgow prognostic score in predicting the life expectancy of patients with hematologic malignancies under palliative care Cancer palliative care

Background: The clinical course for hematologic malignancy varies widely and no prognostic tool is available for patients with a hematologic malignancy under palliative care. To assess the application of the Palliative Prognostic Index (PPI), Charlson Comorbidity Index (CCI), and Glasgow Prognostic Score (GPS) as prognostic tools in patients with hematologic malignancies under palliative care. Methods: We included 217 patients with pathologically proven hematologic malignancies under palliative care consultation service (PCCS) between January 2006 and December 2012 at a single medical center in Taiwan. Patients were categorized into subgroups by PPI, CCI, and GPS for survival analysis. Results: The median survival was 16 days (interquartile range, 4-47.5 days) for all patients and 204 patients (94%) died within 180 days after PCCS. There was a significant difference in survival among patients categorized using the PPI (median survival 49, 15, and 7 days in patients categorized into a good, intermittent, and poor prognostic group, respectively) and the GPS (median survival 66 and 13 days for GPS 0 and 1, respectively). There was no difference in survival between patients with a GPS score of 0 versus 2, or a CCI score of 0 versus ≥1. The survival time was significantly discriminated after stratifying patients with a good PPI score based on the CCI (median survival 102 and 41 days in patients with a CCI score of 0 and ≥1, respectively) from those with a poor PPI score by using the GPS (median survival 47 and 7 days in patients with GPS scores of 0 and 1-2, respectively). Conclusions: PPI is a useful prognosticator of life expectancy in terminally ill patients under palliative care for a hematologic malignancy. Concurrent use of the GPS and CCI improved the accuracy of prognostication using the PPI.