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

BMJ Support Palliat Care. 2019 Sep;9(3):326-331. doi: 10.1136/bmjspcare-2017-001418. Epub 2018 Mar 5.

Abstract

Objectives: In 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.

Methods: Multicentre, 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.

Results: Of 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).

Conclusion: This 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.

Keywords: cancer; hospice; palliative; palliative prognostic index; prognosis; prognostic tool.

Publication types

  • Multicenter Study
  • Observational Study
  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Female
  • Health Status Indicators*
  • Hospice and Palliative Care Nursing / statistics & numerical data*
  • Hospices
  • Humans
  • Male
  • Middle Aged
  • Neoplasms / mortality*
  • Palliative Care / statistics & numerical data*
  • Patient Admission / statistics & numerical data
  • Predictive Value of Tests
  • Prognosis
  • ROC Curve
  • Sensitivity and Specificity
  • Survival Analysis
  • Time Factors
  • United Kingdom