建立列线图以识别有肠道准备不充分风险的患者，使这些患者可能从强化的肠道清洁方案中受益。

回顾性收集2023年7月至2023年9月山东大学附属威海市立医院消化内镜中心373例接受分剂量肠道准备方案的患者的人口统计学资料和临床特征，将资料进行整理为一个队列，分为肠道准备充分组和肠道准备不充分组，对两组的临床资料进行比较。随机抽取80%的队列作为训练队列建立列线图预测模型，20%的队列作为验证队列对预测模型的区分度和精准度进行验证和评估。

训练队列共纳入298例结肠镜检查，纳入预测模型的独立危险因素为糖尿病(P＝0.0251)、便秘(P＝0.0013)、肠道准备不充分历史(P＝0.0431)、结直肠术后(P<0.0001)、未饮食管理(P＝0.0254)、ASA≥Ⅲ级(P＝0.0129)。本研究得出的列线图的判别能力较好，训练队列的曲线下面积为0.7455，验证队列的曲线下面积为0.7709。列线图预测模型C-index为0.746。校正曲线趋近于理想曲线。

该列线图具有较好的预测能力，可用于将准备接受结肠镜检测患者肠道准备不充分的风险可视化、易于使用。

To develop a nomogram to identify patients at risk for inadequate bowel preparation so that these patients may benefit from an intensive bowel cleansing regimen.

The demographic data and clinical characteristics of 373 patients who received fractional dose intestinal preparation regimen at the Center of Digestive Endoscopy, Weihai Municipal Hospital Affiliated to Shandong University from July 2023 to September 2023 were retrospectively collected. And organize the data into a queue.We first divided the cohort into an adequate bowel preparation group and an inadequate bowel preparation group and compared the clinical data of the two groups. Then we randomly selected 80% of the queues as training queues to build the nomogram prediction model, and 20% of the queues as verification queues to verify and evaluate the differentiation and accuracy of the prediction model.

A total of 298 cases of colonoscopy were included in the development cohort. Independent risk factors included in the prediction model were diabetes (P=0.0251), constipation (P=0.0013), history of intestinal underpreparation (P=0.0431), postoperative colorectal surgery (P<0.0001), no diet management (P=0.0254), and ASA grade≥Ⅲ(P=0.0129).The nomogram obtained in this study has good discriminative ability, and the area under the curve of the development cohort is 0.7455, and the area under the curve of the verification cohort is 0.7709.The C-index of the nomogram prediction model is 0.746.The correction curve approaches the ideal curve.

The nomogram has good predictive power and can visualize the risk of inadequate bowel preparation in patients preparing for colonoscopy and is easy to use.