Baseline FACT-G score is a predictor of survival for advanced lung cancer.
The objective of this study is to evaluate whether patient-reported baseline health-related quality of life (HRQL) measured by the Functional Assessment of Cancer Therapy-General (FACT-G) instrument is predictive of survival for patients with advanced lung cancer.


METHODS
Consecutive patients with advanced lung cancer planning to undergo palliative chemotherapy in the outpatient clinics of a Canadian tertiary care cancer centre were enrolled on study. FACT-G total scores and clinical predictors of survival (age, sex, histology, stage of disease, previous weight loss, presence of liver metastases and performance status) were prospectively collected at baseline. Survival data was subsequently collected retrospectively from the Alberta Cancer Registry. Stratified Cox Proportional Hazards analysis was done examining the influence of baseline total FACT-G scores on survival, controlling for potential clinical confounders.


RESULTS
Median survival of the 42 patient cohort was 9.9 months with a 2-year survival of 16.7%. Multivariate analysis indicated that baseline FACT-G total score is significantly associated with survival (p = 0.004).


CONCLUSIONS
Baseline HRQL is a statistically significant predictor of survival for patients with advanced lung cancer. When used along with traditional clinical factors, patient-reported baseline HRQL assessment using the FACT-G provides additional prognostic information to the patient and clinician.
Dharma-Wardene
M
M
Faculty of Graduate Studies and Research, University of Alberta, Edmonton, AB, Canada.
Au
H J
HJ
Hanson
J
J
Dupere
D
D
Hewitt
J
J
Feeny
D
D
D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000188:drug therapy / Q000401:mortality* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D010166:Palliative Care; D011237:Predictive Value of Tests; D011379:Prognosis; D016016:Proportional Hazards Models; D011446:Prospective Studies; D011788:Quality of Life; D012042:Registries; D016019:Survival Analysis