A principal component of quality-of-life measures is associated with survival: Validation in a prospective cohort of lung cancer patients treated with stereotactic body radiation therapy

4Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

The association between HRQOL metrics and survival has not been studied in early stage non-small-cell lung cancer (NSCLC) patients undergoing SBRT. The cohort was derived via a post-hoc analysis of a prospective randomized clinical trial examining definitive SBRT for peripheral, early-stage NSCLC with a single or multi-fraction regimen. Patients completed HRQOL questionnaires prior to and 3 months after treatment. Using principal component analysis (PCA), changes in each HRQOL scale following treatment were reduced to two eigenvectors, PC1 and PC2. Cox regression was employed to analyze associations with survival-based endpoints. A total of 70 patients (median age 75.6 years; median follow-up 41.1 months) were studied. HRQOL and symptom comparisons at baseline and 3 months were vastly unchanged except for improved coughing (p = 0.02) and pain in the chest at 3 months (p = 0.033). PC1 and PC2 explained 21% and 9% of variance, respectively. When adjusting for covariates, PC1 was significantly correlated with progression-free (PFS) (HR = 0.78, 95% CI 0.67–0.92, p = 0.003) and overall survival (OS) (HR = 0.76, 95% CI 0.46, p = 0.041). Changes in global health status, functional HRQOL performance, and/or symptom burden as described by PC1 values are significantly associated with PFS and OS. The PC1 quartile may facilitate the identification of at-risk patients for additional interventions.

Cite

CITATION STYLE

APA

Farrugia, M. K., Yu, H., Videtic, G. M., Stephans, K. L., Ma, S. J., Groman, A., … Singh, A. K. (2021). A principal component of quality-of-life measures is associated with survival: Validation in a prospective cohort of lung cancer patients treated with stereotactic body radiation therapy. Cancers, 13(18). https://doi.org/10.3390/cancers13184542

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free