成人结肠镜检查肠道准备不充分预测模型的范围综述  

Prediction models for inadequate bowel preparation in adults with colonoscopy:a scoping review

作　　者：马改荣 阮春凤[1] 赵新鲜[1] 宋燕[1] Ma Gairong;Ruan Chunfeng;Zhao Xinxian;Song Yan(Nursing Department,Renji Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China)

机构地区：[1]上海交通大学医学院附属仁济医院护理部,上海200127

出　　处：《中华现代护理杂志》2025年第11期1520-1528,共9页Chinese Journal of Modern Nursing

基　　金：上海市护理学会科研课题重点项目(2022SD-B01)。

摘　　要：目的对成人结肠镜检查肠道准备不充分的预测模型进行总结,为临床实践提供参考。方法计算机检索中国知网、万方数据库、中国生物医学文献数据库、维普网、中华医学期刊全文数据库、PubMed、Embase、Web of Science、CINAHL、PsycINFO、Cochrane Library、Google Scholar等数据库中有关结肠镜检查肠道准备不充分预测模型的文献,检索时限为建库至2023年12月31日。由2名研究人员独立筛选文献和提取数据,采用预测模型偏倚风险评价工具(PROBAST)评价纳入文献的偏倚风险和适用性。结果共纳入22篇文献,涉及18个模型。成人结肠镜检查肠道准备不充分的发生率为11.6%~39.0%。模型构建方法以Logistic回归为主,部分模型预测性能较好,但缺乏高质量的外部验证结果。糖尿病、慢性便秘、抗抑郁药、年龄、体重指数是预测结肠镜检查者肠道准备不充分的重要因子。结论护理人员需关注肠道准备不充分的影响因素,可以选择性能优良的模型指导临床实践。目前肠道结肠镜检查者肠道准备不充分预测模型处于发展阶段,未来研究可借助人工智能构建高性能、可操作强的模型,并进行广泛的外部验证。Objective To summarize the prediction model for inadequate bowel preparation in adults with colonoscopy to inform clinical practice.Methods Literature on the prediction model of inadequate bowel preparation for colonoscopy was electronically searched in China National Knowledge Infrastructure,Wanfang Data,China Biology Medicine disc,VIP,Yiigle,PubMed,Embase,Web of Science,CINAHL,PsycINFO,Cochrane Library and Google Scholar.The search period was from database establishment to December 31,2023.Two researchers independently screened the literature,extracted data,and evaluated the risk of bias and applicability of the included literature using the Prediction Model Risk of Bias Assessment Tool(PROBAST).Results A total of 22 articles covering 18 models were included.The incidence of inadequate bowel preparation for colonoscopy in adults ranged from 11.6%to 39.0%.The model construction method was dominated by Logistic regression,and some models had good predictive performance but lacked high-quality external validation results.Diabetes,chronic constipation,antidepressants,age,and body mass index were significant predictors of inadequate bowel preparation in colonoscopy.Conclusions Nursing staff need to be aware of the influencing factors for inadequate bowel preparation and can choose models with good performance to guide clinical practice.Prediction models for inadequate bowel preparation in colonoscopy are currently in the developmental stage,and future research could leverage artificial intelligence to build high-performance,actionable models with extensive external validation.

关 键 词：综述 结肠镜 肠道准备 预测模型 

分 类 号：R47[医药卫生—护理学]