Wehbe Sarah, Thomas Raj Jessica, Bolwell Jacquelyn, Butler Robert, Burke Carol A, Liska David, Macaron Carole
Gastroenterology and Hepatology, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA.
Department of Internal Medicine, Cleveland Clinic Akron General, Akron, OH, USA.
Dig Dis Sci. 2025 Apr;70(4):1511-1520. doi: 10.1007/s10620-025-08861-y. Epub 2025 Feb 13.
Early-onset colorectal cancer (CRC) requires identifying adults at heightened risk of advanced colorectal neoplasia (AN) who may warrant colonoscopy initiation < age 45 years.
We aim to develop and validate a model estimating the likelihood of AN in adults age < 45 years.
We performed a cross-sectional analysis of adults' ages 18-44 years who underwent a colonoscopy between 2011 and 2021 at a tertiary center. Subjects with AN constituted the case group while those with a normal colonoscopy or non-advanced neoplasia (NAN) formed the control group. We used backward elimination multivariable logistic regression methods to construct a model based on significant associations (p < 0.05) between risk factors and the presence of AN in a randomly selected training set and confirmed the associations in a validation set.
AN was detected in 346 (3.7%) of the 9,446 participants included. The reduced logistic regression model based on the training set identified BMI (p = 0.0157), family history of CRC (first-degree relative < 60, p < 0.0001; other family history of CRC p = 0.0117), and tobacco use (current vs. never, p = 0.0015, former vs. never, p = 0.0009) as risk factors for AN. In the validation set, the model exhibited moderate discriminatory power (c-statistic 0.645). The prediction score estimated the likelihood of detecting AN in the complete dataset, from 1.8% for individuals scoring 1 to > 14% for individuals scoring ≥ 9.
We developed and internally validated a simple score using clinical factors which successfully predicts the likelihood of AN in adults < 45 years undergoing colonoscopy. Once externally validated, the proposed risk score may be useful for individualized CRC screening strategies.
早发性结直肠癌(CRC)需要识别出罹患晚期结直肠肿瘤(AN)风险较高的成年人,这些人可能需要在45岁之前开始进行结肠镜检查。
我们旨在开发并验证一个模型,以估计45岁以下成年人患AN的可能性。
我们对2011年至2021年在一家三级中心接受结肠镜检查的18至44岁成年人进行了横断面分析。患有AN的受试者构成病例组,而结肠镜检查正常或患有非晚期肿瘤(NAN)的受试者构成对照组。我们使用向后消除多变量逻辑回归方法,基于随机选择的训练集中风险因素与AN存在之间的显著关联(p<0.05)构建模型,并在验证集中确认这些关联。
在纳入的9446名参与者中,有346人(3.7%)检测出患有AN。基于训练集的简化逻辑回归模型确定体重指数(p = 0.0157)、结直肠癌家族史(一级亲属<60岁,p<0.0001;其他结直肠癌家族史p = 0.0117)以及吸烟情况(当前吸烟者与从不吸烟者相比,p = 0.0015,既往吸烟者与从不吸烟者相比,p = 0.0009)为AN的风险因素。在验证集中,该模型表现出中等的区分能力(c统计量为0.645)。预测评分估计了在完整数据集中检测到AN的可能性,评分1分的个体为1.8%,评分≥9分的个体>14%。
我们开发并在内部验证了一个使用临床因素的简单评分,该评分成功预测了45岁以下接受结肠镜检查的成年人患AN的可能性。一旦经过外部验证,所提出的风险评分可能有助于制定个性化的CRC筛查策略。