Department of Small Bowel Intestinal, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China.
Department of Gastroenterology, The Third Affiliated Xiangya Hospital, Central South University, Chang Sha, PR China.
Medicine (Baltimore). 2023 Dec 8;102(49):e36159. doi: 10.1097/MD.0000000000036159.
The aim of this study was to (1) assess the independent factors affecting patients with postoperative intestinal fistula from Crohn disease (CD) by analyzing preoperative clinical data, (2) establish a nomogram prediction model for this condition based on these factors, and (3) validate this model and evaluate its accuracy. In this retrospective multicenter case-control study, the clinical data of 240 patients with CD admitted for surgical treatment between September 2019 and September 2021 at 3 centers were collected. Patients were randomly divided into a training set (168 patients) and a validation set (72 patients). Univariate analysis was performed for relevant factors, and statistically significant factors were then analyzed using multivariate logistic regression to determine the independent influencing factors. A nomogram model for predicting postoperative intestinal fistula in patients with CD was constructed and the accuracy of the model was evaluated using calibration curves. Univariate analysis showed that disease behavior, abdominal abscess, intestinal perforation, neutrophil-to-lymphocyte ratio, systemic immunoinflammatory index, and prognostic nutrition index were factors affecting postoperative intestinal fistula in patients with CD. Multivariate logistic regression analysis showed that neutrophil-to-lymphocyte ratio, prognostic nutrition index, disease behavior, and Crohn disease activity index score were independent influencing factors. After assessing the validation set, the area under the curve was 0.899, indicating good predictive accuracy of the nomogram model. The prediction model developed in this study can effectively predict the risk of postoperative intestinal fistula.
(1) 通过分析术前临床数据,评估影响克罗恩病术后肠瘘患者的独立因素;(2) 基于这些因素,建立该疾病的列线图预测模型;(3) 验证该模型并评估其准确性。在这项回顾性多中心病例对照研究中,收集了 2019 年 9 月至 2021 年 9 月在 3 个中心接受手术治疗的 240 例克罗恩病患者的临床数据。患者被随机分为训练集(168 例)和验证集(72 例)。对相关因素进行单因素分析,然后对有统计学意义的因素进行多因素逻辑回归分析,确定独立的影响因素。构建预测克罗恩病患者术后肠瘘的列线图模型,并通过校准曲线评估模型的准确性。单因素分析显示,疾病行为、腹部脓肿、肠穿孔、中性粒细胞与淋巴细胞比值、全身免疫炎症指数和预后营养指数是影响克罗恩病患者术后肠瘘的因素。多因素逻辑回归分析显示,中性粒细胞与淋巴细胞比值、预后营养指数、疾病行为和克罗恩病活动指数评分是独立的影响因素。在评估验证集后,曲线下面积为 0.899,表明列线图模型具有良好的预测准确性。本研究建立的预测模型可有效预测术后肠瘘的风险。