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中国门诊患者肠道准备不充分预测模型的推导与验证

Derivation and validation of a prediction model for inadequate bowel preparation in Chinese outpatients.

作者信息

Yin Huifang, Wang Yan, Wang Hangfang, Li Tian, Xu Xiangxiang, Li Fengyu, Huang Lihua

机构信息

Nursing Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Building 17, 3rd Floor 79 Qingchun Road, Hangzhou, 310003, China.

Department of Endoscopy Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Sci Rep. 2025 Jan 9;15(1):1430. doi: 10.1038/s41598-025-85816-3.

DOI:10.1038/s41598-025-85816-3
PMID:39789134
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11718012/
Abstract

The quality of bowel preparation is an important factor in the success of colonoscopy. However, multiple influencing factors that function together can lead to inadequate bowel preparation. The main objective of this study was to explore the specific factors that affect the quality of bowel preparation, with the goal of deriving and validating a predictive model for inadequate bowel preparation in Chinese outpatients. A prospective observational study. We conducted a prospective study in a tertiary hospital in Zhejiang Province that included elective colonoscopy outpatients treated between December 15, 2022 and August 12, 2023. Clinical data related to the patient characteristics and patient bowel preparation were collected to analyze the risk factors of inadequate bowel preparation in outpatients. The quality of bowel preparation was assessed by using the Boston bowel preparation scale (BBPS). Inadequate bowel preparation was defined as a total BBPS score of < 6 or any segment score of < 2. The predictive model was constructed based on multivariate logistic regression, and the discrimination and calibration of the prediction model were evaluated via internal and external validation; additionally, a clinical decision curve was drawn to evaluate the clinical utility of the model. A total of 1314 patients were included from December 15, 2022 through May 31, 2023 (derivation cohort, n = 1035) and from June 1 through August 12, 2023 (external validation cohort, n = 279). Inadequate bowel preparation occurred in 260 of 1035 patients in the derivation cohort (25.1%). Multivariate analysis identified that male sex (OR = 1.690, 95% CI: 1.242-2.300), diabetes (OR = 1.769, 95% CI: 1.059-2.954), constipation (OR = 2.375, 95% CI: 1.560-3.617), history of colorectal surgery (OR = 2.915, 95% CI: 1.455-5.840), a high fiber diet used at 24 h before examination (OR = 2.662, 95% CI: 1.636-4.334) and the time interval from the end of the bowel preparation to the start of the colonoscopy (PC) >5 h (OR = 2.471, 95% CI: 1.814-3.366) were independent risk factors. We derived a model to identify patients with inadequate cleansing by using data from patients in the derivation cohort and tested it in the validation cohort. The area under the curve (AUC) was 0.704 (95% CI: 0.667-0.741), with a calibration value of p = 0.632 in the derivation cohort. Bootstrap cross-validation showed a good model calibration condition. For the validation cohort, the AUC was 0.704 (95% CI: 0.628-0.779), and the calibration value was p = 0.376. We identified the influencing factors of outpatient bowel cleansing that are associated with patient clinical characteristics and bowel preparation-related behaviors. A model was constructed and validated to identify patients who were at high risk of inadequate bowel preparation by using six simple variables, which included male sex, diabetes, constipation, history of colorectal surgery, a high fiber diet used at 24 h prior to examination, and PC > 5 h. The clinical decision curve showed that the constructed prediction model has some clinical utility based on results from the derivation cohort and validation cohort.

摘要

肠道准备质量是结肠镜检查成功的一个重要因素。然而,多种共同起作用的影响因素可能导致肠道准备不充分。本研究的主要目的是探索影响肠道准备质量的具体因素,旨在推导并验证针对中国门诊患者肠道准备不充分的预测模型。一项前瞻性观察性研究。我们在浙江省一家三级医院进行了一项前瞻性研究,纳入了2022年12月15日至2023年8月12日期间接受择期结肠镜检查的门诊患者。收集了与患者特征和患者肠道准备相关的临床数据,以分析门诊患者肠道准备不充分的危险因素。采用波士顿肠道准备量表(BBPS)评估肠道准备质量。肠道准备不充分定义为BBPS总分<6或任何节段得分<2。基于多因素逻辑回归构建预测模型,并通过内部和外部验证评估预测模型的区分度和校准度;此外,绘制临床决策曲线以评估模型的临床实用性。从2022年12月15日至2023年5月31日共纳入1314例患者(推导队列,n = 1035),以及从2023年6月1日至8月12日(外部验证队列)纳入279例患者。推导队列中1035例患者中有260例(25.1%)肠道准备不充分。多因素分析确定男性(OR = 1.690,95%CI:1.242 - 2.300)、糖尿病(OR = 1.769,95%CI:1.059 - 2.954)、便秘(OR = 2.375,95%CI:1.

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