S1174 UC Patients With High Level Antibody Responses to CD-Associated Microbial Antigens Exhibit Aberrant IFNG DNA Methylation Patterns

AIM: Colonic polyps are causally related to the nearly 150,000 yearly incident cases of colon cancer in the USA. The study aim was to identify and quantitate variables that affect polyp size in a large sample of patients undergoing CS for indications of routine screening or family history of colorectal cancer. METHODS: 93,110 adult patients from 67 GI practices in 25 states undergoing CS who had colorectal polyps on exam were identified in the Clinical Outcomes Research Initiative (CORI) database. Polyp size of the largest polyp was the outcome variable; patient age, race, gender, type of practice, anatomic location, and indication for procedure were independent variables. Ten-year age bands were used to stratify patient age; the size of the largest polyp in each patient was stratified into four ordinal groups (05 mm, 5.1-9, 9.1-15, >15 mm). Ordinal logistic regression was used to obtain multivariateadjusted estimates of polyp size in relation to patient age. RESULTS: For patients 80 years. After multivariate adjustment, odds of having a larger polyp increased with each increasing age group, compared to those under 50 years (see Table). The odds ratio for polyp size in the oldest age group versus youngest age group was 1.61 (95% CI = 1.46-1.77, p = <0.0001). Other factors with multivariate-adjusted significant odds ratios were gender (males vs females 1.18, P = <0.0001), race (blacks versus whites 1.33, P = <0.0001), practice type (community vs academic 1.26, P = <0.0001), and polyp location (distal vs proximal colon 0.89, P = <0.0001). CONCLUSION: Size of the largest polyp detected at CS increases significantly with age, and among variables included in a multivariate model, age has the strongest association with polyp size.