Predicting the trajectory of will to live in terminally ill patients

Will to live has been shown to vary considerably during the final course of a terminal illness. The goal of this study was to identify illness-related and demographic variables predicting will to live among dying patients. Subjects were 168 patients with cancer who were admitted for palliative care. Will to live was measured twice daily for the duration of hospitalization by using a self-report 100-mm visual analogue scale. Will-to-live data for each patient were summarized into two statistics, intercept and slope, by using simple linear regression analyses. Intercept-slope pairs for all patients were classified into the following five clusters by using spatial and conceptual criteria: patients with sustained high will to live (58%), patients with sustained moderate will to live (11%), patients with sustained low will to live (3%), will-to-live relinquishers (18%), and will-to-live acquirers (10%). Discriminant analyses revealed seven variables that accounted for 69% of the variance in cluster membership: anxiety, shortness of breath, nausea, length of survival from time of admission, having a diagnosis of colon cancer, having no religion, and living with a spouse.