Prognostic Factors in Patients With Advanced Cancer: Use of the Patient-Generated Subjective Global Assessment in Survival Prediction

Author:

Martin Lisa1,Watanabe Sharon1,Fainsinger Robin1,Lau Francis1,Ghosh Sunita1,Quan Hue1,Atkins Marlis1,Fassbender Konrad1,Downing G. Michael1,Baracos Vickie1

Affiliation:

1. From the University of Alberta; Cancer Care, Cross Cancer Institute; Palliative Care, Regional Palliative Care Program; Education Resources, Alberta Health Services, Edmonton, Alberta; School of Health Information Science, University of Victoria; and Palliative Medicine, Research and Development, Victoria Hospice, Victoria, British Columbia, Canada.

Abstract

Purpose To determine whether elements of a standard nutritional screening assessment are independently prognostic of survival in patients with advanced cancer. Patients and Methods A prospective nested cohort of patients with metastatic cancer were accrued from different units of a Regional Palliative Care Program. Patients completed a nutritional screen on admission. Data included age, sex, cancer site, height, weight history, dietary intake, 13 nutrition impact symptoms, and patient- and physician-reported performance status (PS). Univariate and multivariate survival analyses were conducted. Concordance statistics (c-statistics) were used to test the predictive accuracy of models based on training and validation sets; a c-statistic of 0.5 indicates the model predicts the outcome as well as chance; perfect prediction has a c-statistic of 1.0. Results A training set of patients in palliative home care (n = 1,164) was used to identify prognostic variables. Primary disease site, PS, short-term weight change (either gain or loss), dietary intake, and dysphagia predicted survival in multivariate analysis (P < .05). A model including only patients separated by disease site and PS with high c-statistics between predicted and observed responses for survival in the training set (0.90) and validation set (0.88; n = 603). The addition of weight change, dietary intake, and dysphagia did not further improve the c-statistic of the model. The c-statistic was also not altered by substituting physician-rated palliative PS for patient-reported PS. Conclusion We demonstrate a high probability of concordance between predicted and observed survival for patients in distinct palliative care settings (home care, tertiary inpatient, ambulatory outpatient) based on patient-reported information.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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