Journal of pain and symptom management
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J Pain Symptom Manage · Apr 1999
Multicenter StudyA new palliative prognostic score: a first step for the staging of terminally ill cancer patients. Italian Multicenter and Study Group on Palliative Care.
In recent years, extensive research has been performed to identify prognostic factors that predict survival in terminally ill cancer patients. This study describes the construction of a simple prognostic score based on factors identified in a prospective multicenter study of 519 patients with a median survival of 32 days. An exponential multiple regression model was adopted to evaluate the joint effect of some clinico-biological variables on survival. ⋯ The PaP Score based on simple clinical and biohumoral variables proved to be statistically significant in a multivariate analysis. The score is valid in this population (training set). An independent validation on another patient series (testing set) is required and is the object of a companion paper.
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J Pain Symptom Manage · Apr 1999
Multicenter StudySuccessful validation of the palliative prognostic score in terminally ill cancer patients. Italian Multicenter Study Group on Palliative Care.
The aim of this work was to validate a previously constructed prognostic score for terminally ill cancer patients in order to determine its value in clinical practice. The Palliative Prognostic Score (PaP Score) was tested on a population of 451 evaluable patients consecutively entered in the hospice programs of 14 Italian Palliative Care Centers. The score subdivided patients into three specific risk classes based on the following six predictive factors of death: dyspnea, anorexia, Karnofsky Performance Status (KPS), Clinical Prediction of Survival (CPS), total white blood count (WBC), and lymphocyte percentage. ⋯ Survival medians were remarkably similar to those of the training set (64 days in group A, 32 days in group B, and 11 days in group C). In the complex process of staging terminally ill patients, the PaP Score is a simple instrument which permits a more accurate quantification of expected survival. It has been validated on an independent case series and is thus suitable for use in clinical practice.