Prognostic factors in patients with advanced cancer: use of the patient-generated subjective global assessment in survival prediction

J Clin Oncol. 2010 Oct 1;28(28):4376-83. doi: 10.1200/JCO.2009.27.1916. Epub 2010 Aug 30.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Female
  • Home Care Services
  • Humans
  • Male
  • Middle Aged
  • Neoplasms / mortality*
  • Nutrition Assessment*
  • Palliative Care
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • Regression Analysis
  • Risk Assessment
  • Risk Factors
  • Survival Analysis