A New Scoring System to Predict the Risk for High-risk Adenoma and Comparison of Existing Risk Calculators. Issue 4 (April 2017)

• Record Type: Journal Article
• Authors: Murchie, Brent; Tandon, Kanwarpreet; Hakim, Seifeldin; Shah, Kinchit; O'Rourke, Colin; Castro, Fernando J.
• Is Part Of: Journal of clinical gastroenterology. Volume 51:Issue 4(2017)
• Publication Date: 2017-04
• Subjects: colorectal adenoma -- risk calculators -- colorectal cancer screening -- advanced adenomas; Gastroenterology -- Periodicals; Digestive organs -- Diseases -- Periodicals; Gastroenterology -- Periodicals; Digestive organs -- Diseases; Gastroenterology; Periodicals; Periodicals; 616.33005
• DOI: 10.1097/MCG.0000000000000576
• Languages: English
• ISSNs: 0192-0790

Abstract

Abstract : Background: Colorectal cancer (CRC) screening guidelines likely over-generalizes CRC risk, 35% of Americans are not up to date with screening, and there is growing incidence of CRC in younger patients. Goals: We developed a practical prediction model for high-risk colon adenomas in an average-risk population, including an expanded definition of high-risk polyps (≥3 nonadvanced adenomas), exposing higher than average-risk patients. We also compared results with previously created calculators. Study: Patients aged 40 to 59 years, undergoing first-time average-risk screening or diagnostic colonoscopies were evaluated. Risk calculators for advanced adenomas and high-risk adenomas were created based on age, body mass index, sex, race, and smoking history. Previously established calculators with similar risk factors were selected for comparison of concordance statistic (c-statistic) and external validation. Results: A total of 5063 patients were included. Advanced adenomas, and high-risk adenomas were seen in 5.7% and 7.4% of the patient population, respectively. The c-statistic for our calculator was 0.639 for the prediction of advanced adenomas, and 0.650 for high-risk adenomas. When applied to our population, all previous models had lower c-statistic results although one performed similarly. Conclusions: Our model compares favorably to previously established prediction models. Age and body mass index were used as continuous variables, likely improving the c-statistic. It also reports absolute predictive probabilities of advanced and high-risk polyps, allowing for more individualized risk assessment of CRC. Abstract : Supplemental Digital Content is available in the text.