Comorbidity Profiles and Lung Cancer Screening among Older Adults: U.S. Behavioral Risk Factor Surveillance System 2017-2019.

Rationale: Although lung cancer screening (LCS) with low-dose computed tomography (LDCT) is now recommended for those meeting standard risk factor-based eligibility criteria, the role of comorbidity in the uptake of LCS with LDCT in an older real-world U.S. population is not well established. Objectives: To examine the relationships between comorbidity, functional status, and LCS utilization in the United States. Methods: Using population-based data from the 2017-2019 Behavioral Risk Factor Surveillance System, we examined the association of comorbid conditions and functional limitations regarding activities of daily living with LCS utilization among participants that met the LCS criteria based on the U.S. Preventive Service Taskforce guidelines. We employed multivariable weighted logistic regression models to evaluate these associations, both overall and within subgroups defined by age (<65 yr vs. ⩾65 yr), sex, and smoking history. Results: Of 11,214 participants who met the eligibility criteria for LCS, 1,731 (16%) underwent LCS with LDCT. The majority were White (90%), male (55%), former smokers (52%), and living with at least one chronic comorbid condition (77%). More than 28% had three or more comorbid conditions, and approximately 40% of participants reported having some form of functional limitations. In the multivariable models, the likelihood of undergoing LCS with LDCT within the past year was positively associated with higher amount of comorbidity (⩾5 vs. 0: adjusted odds ratio, 2.34; 95% confidence interval [CI], 1.22-4.48) but not with functional limitations (⩾3 vs. 0: adjusted odds ratio, 1.00; 95% CI, 0.66-1.50). Conclusions: The presence of comorbid conditions is associated with a higher likelihood of undergoing LCS with LDCT. Because poor health status may diminish the benefits of screening, future research is needed to precisely characterize the health status of LCS-eligible individuals.

Duke Scholars

Author Tomi Akinyemiju Population Health Sciences