Zeng Zhaolan, Hu Yanling, Hou Shulin, Yang Ru, Shi Zeyao, Li Xiaowen
Department of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Front Public Health. 2025 Jul 3;13:1566789. doi: 10.3389/fpubh.2025.1566789. eCollection 2025.
Enterostomy is a common surgical procedure for treating acute abdomen in infants. However, the associated complication incidence is high, which significantly impacts infants' recovery. This study aimed to identify risk factors of short-term complications and develop a prediction model in infants with enterostomy.
We retrospectively analyzed the clinical data of infants who underwent enterostomy at Sichuan University West China Second Hospital from November 2021 to June 2024. Multifactorial logistic regression analysis was used to screen the risk factors for postoperative complications related to enterostomy in infants, and R software was applied to develop a nomogram prediction model. The accuracy and clinical utility of the prediction model were verified by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).
A total of 155 infants were included in this study, with 61 cases (39.35%) in the complication group and 94 cases (60.65%) in the non-complication group. Multifactorial logistic regression analysis showed that smaller weight at surgery (OR = 0.999, 95% CI: 0.999 ~ 1.000, = 0.044), small intestine stoma (OR = 6.405, 95% CI: 1.647 ~ 24.916, = 0.007), and prolonged duration of postoperative high-level C-reactive protein (CRP) (OR = 1.081, 95% CI: 1.001 ~ 1.167, = 0.048) were independent risk factors for complications related to enterostomy in infants. The area under the curve (AUC) of the risk prediction model was 0.784 (95% CI: 0.712 ~ 0.857), and the goodness-of-fit test value of the Hosmer-Lemeshow was 0.604, higher than 0.05, indicating that the regression model had a significant fitting effect. The calibration curves and DCA demonstrated high predictive value and clinical efficiency.
The smaller weight at surgery, small intestine stoma, and longer duration of postoperative high-level CRP may be used to identify the risk of short-term complications after enterostomy. This prediction model is provided for medical staff to evaluate complication-associated risk and take measures for those infants at risk.
肠造口术是治疗婴儿急腹症的常见外科手术。然而,相关并发症发生率较高,这对婴儿的恢复有显著影响。本研究旨在确定婴儿肠造口术短期并发症的危险因素并建立预测模型。
我们回顾性分析了2021年11月至2024年6月在四川大学华西第二医院接受肠造口术的婴儿的临床资料。采用多因素logistic回归分析筛选婴儿肠造口术后并发症的危险因素,并应用R软件建立列线图预测模型。通过受试者工作特征(ROC)曲线、校准曲线和决策曲线分析(DCA)验证预测模型的准确性和临床实用性。
本研究共纳入155例婴儿,其中并发症组61例(39.35%),非并发症组94例(60.65%)。多因素logistic回归分析显示,手术时体重较小(OR = 0.999,95%CI:0.999~1.000,P = 0.044)、小肠造口(OR = 6.405,95%CI:1.647~24.916,P = 0.007)和术后高浓度C反应蛋白(CRP)持续时间延长(OR = 1.081,95%CI:1.001~1.167,P = 0.048)是婴儿肠造口术相关并发症的独立危险因素。风险预测模型的曲线下面积(AUC)为0.784(95%CI:0.712~0.857),Hosmer-Lemeshow拟合优度检验值为0.604,高于0.05,表明回归模型具有显著的拟合效果。校准曲线和DCA显示出较高的预测价值和临床效率。
手术时体重较小、小肠造口和术后高浓度CRP持续时间较长可能用于识别肠造口术后短期并发症的风险。本预测模型可供医务人员评估并发症相关风险,并对有风险的婴儿采取措施。