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. 2000 Sep 1;89(5):1145-9.
doi: 10.1002/1097-0142(20000901)89:5<1145::aid-cncr24>3.0.co;2-x.

Impact of delirium on the short term prognosis of advanced cancer patients. Italian Multicenter Study Group on Palliative Care

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Impact of delirium on the short term prognosis of advanced cancer patients. Italian Multicenter Study Group on Palliative Care

A Caraceni et al. Cancer. .

Abstract

Background: The objective of this study was to evaluate the impact of delirium on the survival of advanced cancer patients also assessed with a validated prognostic score (the palliative prognostic [PaP] score).

Methods: The study population was a prospective multicenter consecutive case series of advanced cancer patients for whom chemotherapy was no longer considered viable and who were referred to palliative care programs. Clinical and biologic prognostic factors included in the PaP score were assessed at study entry. The Confusion Assessment Method criteria were applied to screen patients presenting with delirium. Survival times were measured from time of enrollment and death taken as an outcome. Survival curves were traced with the Kaplan-Meier method and comparison were based on log rank tests.

Results: Delirium was found in 109 cases among 393 consecutive patients (27.7%). The diagnosis of delirium was independently associated with male gender, central nervous system metastases, lower performance status, worse clinical prediction of survival, and progestational treatment. The survival curve of patients with delirium was significantly different from the nondelirious patients curve (log rank, 31.6, P < 0.0001). The median survival time was 21 days (95% confidence interval [CI], 16-27) for the delirious patients and 39 days (95% CI 33-49) for the others. Multivariate analysis showed that the diagnosis of delirium and PaP score were independently associated with prognosis.

Conclusions: The diagnosis of delirium significantly worsens life expectancy prognosticated with the PaP score. By using the PaP score together with the assessment of cognitive status, physicians can correctly predict patients 30-day survival in greater than 70% of cases.

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