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Identification of risk factors for sessile and traditional serrated adenomas of the colon by using big data analysis
Author(s) -
Pyo Jeung Hui,
Ha Sang Yun,
Hong Sung Noh,
Chang Dong Kyung,
Son Hee Jung,
Kim KyoungMee,
Kim Hyeseung,
Kim Kyunga,
Kim Jee Eun,
Choi YoonHo,
Kim YoungHo
Publication year - 2018
Publication title -
journal of gastroenterology and hepatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.214
H-Index - 130
eISSN - 1440-1746
pISSN - 0815-9319
DOI - 10.1111/jgh.14035
Subject(s) - medicine , odds ratio , colorectal cancer , multivariate analysis , risk factor , confidence interval , gastroenterology , cancer
Background and Aim Little is known about the risk factors associated with serrated polyps, because the early studies, which occurred before the new World Health Organization classification was introduced, included mixtures of serrated polyps. This study aimed to evaluate the risk factors associated with the presence of sessile serrated adenomas (SSAs) and traditional serrated adenomas (TSAs) using big data analytics. Methods Using a case–control design, we evaluated the risk factors associated with the presence of SSAs and TSAs. Subjects who underwent colonoscopies from 2002 to 2012 as part of the comprehensive health screening programs undertaken at the Samsung Medical Center, Korea, participated in this study. Results Of the 48 677 individuals who underwent colonoscopies, 183 (0.4%) had SSAs and 212 (0.4%) had TSAs. The multivariate analysis determined that being aged ≥ 50 years (odds ratio [OR] 1.91, 95% confidential interval [CI] 1.27–2.90, P = 0.002) and a history of colorectal cancer among first‐degree relatives (OR 3.14, 95% CI 1.57–6.27, P = 0.001) were significant risk factors associated with the presence of SSAs and that being aged ≥ 50 years (OR 2.61, 95% CI 1.79–3.80, P < 0.001), obesity (OR 1.63, 95% CI 1.12–2.36, P = 0.010), and a higher triglyceride level (OR 1.63, 95% CI 1.12–2.36, P = 0.010) were independent risk factors associated with the presence of TSAs. Conclusions We used big data analytics to determine the risk factors associated with the presence of specific polyp subgroups, and individuals who have these risk factors should be carefully scrutinized for the presence of SSAs or TSAs during screening colonoscopies.