A SIMPLE RISK PREDICTION MODEL FOR HIGH-RISK ADENOMATOUS POLYPS AT THE TIME OF COLONOSCOPY
Author(s)
Boyne DJ1, Lix L2, Town S3, Heitman SJ3, Hilsden RJ3, Brenner DR3
1University of Calgary, Calgary, ON, Canada, 2University of Manitoba, Winnipeg, MB, Canada, 3University of Calgary, Calgary, AB, Canada
OBJECTIVES : The prediction of high risk adenoma polyp (HRAP) may help to prioritize the urgency and guide the performance of colonoscopy procedures. Our objective was to develop and internally validate a simple, scalable clinical prediction model. METHODS : The study population consisted of 2,364 individuals aged 50 to 74 with no prior history of cancer who had a screening colonoscopy at the Forzani and MacPhail Colon Cancer Screening Centre in Calgary, Canada. A total of 190 HRAPs were identified (8.0%). Predictor variables were collected from a baseline health questionnaire and included patient demographic, lifestyle (body mass index, alcohol (daily vs. no), smoking (never vs. ever), physical activity (high vs. moderate to low), non-steroidal anti-inflammatory drug use (yes vs. no)), medical (family history of colorectal cancer, personal history of diabetes, or fecal occult blood test within the past two years), and female-specific characteristics (menopausal status and hormone replacement therapy (yes vs. no)). Five-fold internal cross validation was conducted. Performance was assessed using the C-statistic and Hosmer-Lemeshow goodness-of-fit test. RESULTS : The average age of the participants was 58 years of whom 54.9% were male and 85.2% were Caucasian. The clinical prediction model included demographic and lifestyle variables. On average, the predicted probability of having a HRAP was 8.0% (IQR:4.1% to 10.6%). The bias-adjusted C-statistic was 0.66 (95% CI:0.62 to 0.70) and there was no evidence of a lack of calibration according to the Hosmer-Lemeshow goodness-of-fit test. The addition of the medical history variables (AUC change=0.0001; p=0.98) or female-specific variables (AUC change=0.006; p=0.32) or both medical and female-specific groups of variables (AUC change=0.004; p=0.45) did not improve predictive performance. CONCLUSIONS : A model based on demographic and lifestyle variables showed a modest predictive ability for having an HRAP at the time of colonoscopy in a population undergoing screening-related colonoscopies.
Conference/Value in Health Info
2018-05, ISPOR 2018, Baltimore, MD, USA
Value in Health, Vol. 21, S1 (May 2018)
Code
PMD12
Topic
Epidemiology & Public Health
Topic Subcategory
Disease Classification & Coding
Disease
Oncology