PURPOSE: Identifying older patients with GI malignancies who are at increased risk of mortality remains challenging. The goal of our study was to examine geriatric assessment (GA) predictors of 1-year mortality and explore the use of a survival tree analysis in a prospective cohort of older adults (≥ 60 years) with newly diagnosed GI malignancies. METHODS: Survival tree analysis was performed to understand variable interactions and identify predictors of overall survival, computed from time of GA to death or last follow-up. Cox regression was used to estimate associations of 1-year mortality, first using a base model (age, race, cancer stage, cancer risk group, and planned chemotherapy), then using all significant predictors from the univariable analyses, and finally only those identified in survival tree analysis. RESULTS: A total of 478 participants met eligibility, with a mean age of 70 years. The survival tree analysis identified nutrition, cancer stage, physical and emotional health, age, and functional status as predictors of mortality. Older patients without malnutrition or depression had the best 1-year survival, whereas those with malnutrition, stage IV disease, and functional limitations had the worst 1-year survival. Our base model demonstrated good discrimination (area under curve [AUC] 0.76) but was improved with the addition of GA variables (AUC 0.82) or from survival tree analysis (AUC 0.82). CONCLUSION: Measures of function, nutrition, and mental health are important predictors of mortality in older adults with GI cancers. Using GA as part of clinical management can aid in the prediction of survival and help inform treatment decision making.
PURPOSE: Identifying older patients with GI malignancies who are at increased risk of mortality remains challenging. The goal of our study was to examine geriatric assessment (GA) predictors of 1-year mortality and explore the use of a survival tree analysis in a prospective cohort of older adults (≥ 60 years) with newly diagnosed GI malignancies. METHODS: Survival tree analysis was performed to understand variable interactions and identify predictors of overall survival, computed from time of GA to death or last follow-up. Cox regression was used to estimate associations of 1-year mortality, first using a base model (age, race, cancer stage, cancer risk group, and planned chemotherapy), then using all significant predictors from the univariable analyses, and finally only those identified in survival tree analysis. RESULTS: A total of 478 participants met eligibility, with a mean age of 70 years. The survival tree analysis identified nutrition, cancer stage, physical and emotional health, age, and functional status as predictors of mortality. Older patients without malnutrition or depression had the best 1-year survival, whereas those with malnutrition, stage IV disease, and functional limitations had the worst 1-year survival. Our base model demonstrated good discrimination (area under curve [AUC] 0.76) but was improved with the addition of GA variables (AUC 0.82) or from survival tree analysis (AUC 0.82). CONCLUSION: Measures of function, nutrition, and mental health are important predictors of mortality in older adults with GI cancers. Using GA as part of clinical management can aid in the prediction of survival and help inform treatment decision making.
Authors: Arti Hurria; Supriya Gupta; Marjorie Zauderer; Enid L Zuckerman; Harvey J Cohen; Hyman Muss; Miriam Rodin; Katherine S Panageas; Jimmie C Holland; Leonard Saltz; Mark G Kris; Ariela Noy; Jorge Gomez; Ann Jakubowski; Clifford Hudis; Alice B Kornblith Journal: Cancer Date: 2005-11-01 Impact factor: 6.860
Authors: Grant R Williams; Kelly M Kenzik; Mariel Parman; Mustafa Al-Obaidi; Liton Francisco; Gabrielle B Rocque; Andrew McDonald; Ravi Paluri; Rudolph M Navari; Lakshmin Nandagopal; Olumide Gbolahan; Crystal Young-Smith; Matthew Robertson; Smita Bhatia Journal: J Geriatr Oncol Date: 2019-04-18 Impact factor: 3.599
Authors: Jennifer L Lund; Paul R Duberstein; Kah Poh Loh; Nikesha Gilmore; Sandy Plumb; Lianlian Lei; Alexander P Keil; Jessica Y Islam; Laura C Hanson; Jeffrey K Giguere; Victor G Vogel; Brian L Burnette; Supriya G Mohile Journal: J Geriatr Oncol Date: 2021-09-02 Impact factor: 3.599
Authors: Trevor A Jolly; Allison M Deal; Kirsten A Nyrop; Grant R Williams; Mackenzi Pergolotti; William A Wood; Shani M Alston; Brittaney-Belle E Gordon; Samara A Dixon; Susan G Moore; W Chris Taylor; Michael Messino; Hyman B Muss Journal: Oncologist Date: 2015-03-12
Authors: Benjamin D Smith; Grace L Smith; Arti Hurria; Gabriel N Hortobagyi; Thomas A Buchholz Journal: J Clin Oncol Date: 2009-04-29 Impact factor: 44.544
Authors: Mackenzi Pergolotti; Allison M Deal; Grant R Williams; Ashley L Bryant; Jeannette T Bensen; Hyman B Muss; Bryce B Reeve Journal: J Geriatr Oncol Date: 2017-03-09 Impact factor: 3.599