Key points are not available for this paper at this time.
Abstract Introduction: The US Preventive Services Task Force (USPSTF) recommends lung cancer screening with a low dose CT scan in patients who are 50 – 80 years old with at least a 20 pack-year smoking history and currently smoke or quit in the last 15 years. Yet, only 5.8 percent of eligible Americans were screened in 2022. We investigated demographic screening patterns and evaluated for alternative identifiers in patients’ electronic medical record (EMR) to identify lung cancer screening candidates at a large and diverse cancer center in Los Angeles. Methods: We examined 607 patients with non-small cell lung cancer (NSCLC) treated at the University of Southern California Norris Comprehensive Care Center or Los Angeles General Medical Center from 2009-2023. EMR data included age of diagnosis, sex, race/ethnicity, smoking history, and stage at diagnosis; for patients with unknown number of pack years (n=25) they counted as not qualified for screening. Identifiers investigated were International Classification of Disease, Tenth Revision (ICD-10) code for chronic obstructive pulmonary disease (COPD), prescription of inhaled steroids, and documented lung cancer history. Fisher’s exact test was used to compare proportion of qualified screeners among groups. Results: 35% (215/607) of patients would have qualified for lung cancer screening according to the USPSTF guidelines, including a greater proportion of males 52% (164/313) versus females 17% (51/293) (p0.0001). In males, Non-Hispanic Whites (NHW) 59% (55/93) had a greater proportion that would qualify compared to Hispanics 41% (31/75) (p=0.0295). In females, NHW 34% (30/89) had the highest proportion of qualifiers while Asians 6% (6/104) and Hispanics 9% (6/66) had the lowest proportion of qualifiers (p0.0001). 65% (215/332) of smokers qualified for screening; males had a higher percentage who qualified for screening versus females (164/234, 70% vs. 51/98, 52%, p=0.0024). By race, NHW male smokers had the highest proportion of qualifiers 77% (55/71) while Hispanic women had the lowest proportion of qualifiers 50% (6/12). 27% (89/332) of patients were found to have an ICD-10 code for COPD, including 18% (21/117) had an ICD-10 code for COPD who did not qualify. 19% (63/332) smokers received a prescription for inhaled steroids, including 15% (18/117) of them who didn’t qualify for screening. 12% had a family history of lung cancer (39/332), while 9% (10/117) of these patients didn’t qualify for screening. Conclusion: There were significant race and sex screening disparities among known NSCLC patients including under 10% of Asian and Hispanic females. There were about 10-15% known lung cancer patients who would not have qualified for screening found to have an ICD-10 code for COPD, an inhaled steroids prescription, or documented family history. These alternative identifiers may serve as identifiers for lung cancer screening candidates in the EMR to help address race and sex disparities in screening. Future directions should include simulation of these identifiers in larger patient datasets. Citation Format: Darin Poei, Aubree Mades, Iris Yao, Nick Ahn, Ajay Prasad, Jennifer Tsui, Jacob S Thomas, Jorge J Nieva, Robert Hsu. Race and sex disparities in lung cancer screening and evaluation of alternative identifiers in patients’ electronic medical record to better identify lung cancer screening candidates abstract. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A145.
Poei et al. (Sat,) studied this question.