Prognostic evaluation in palliative care: final results from a prospective cohort study

Area of Science:

• Oncology
• Palliative Care
• Biostatistics

Background:

• Accurate prognostic characterization is vital for advanced cancer patient management.
• Clinical prediction of survival (CPS) has limitations.
• Multidimensional prognostic scores aim to improve survival prediction.

Purpose of the Study:

• To compare the accuracy of Palliative Prognostic (PaP) Score, Objective Prognostic Score (OPS), and Palliative Prognostic Index (PPI) in predicting survival.
• To evaluate the accuracy of clinician-estimated CPS.
• To identify clinical, laboratory, and social factors influencing survival.

Main Methods:

• Prospective cohort study in two palliative care units.
• Collected clinical and laboratory data from 334 advanced cancer patients.
• Compared accuracy of PaP Score, OPS, PPI, and clinician CPS estimates.

Main Results:

• PaP Score was the most accurate prognostic index, followed by PPI.
• CPS accuracy was similar between physicians and nurses.
• Healthcare professionals tended to underestimate patient survival.
• Patient autonomy and metastatic site count were independent prognostic factors for mortality and overall survival.

Conclusions:

• The PaP Score and PPI are valuable tools for survival prediction in advanced cancer.
• Integrating CPS with multidimensional indexes may enhance patient management.
• Clinical factors like autonomy and metastatic burden significantly impact prognosis.