Department of General Surgery and Neonatal Surgery, Liangjiang Wing, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China.
Children's Nutrition Research Center, Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China.
Eur J Pediatr Surg. 2023 Jun;33(3):210-218. doi: 10.1055/s-0042-1751045. Epub 2022 Jul 19.
This article develops a nomogram to estimate intestinal necrosis risk in the incarcerated inguinal hernia (IIH) in infants under 6 months.
A total of 273 infants who underwent an emergency operation due to IIH were investigated retrospectively. Univariate and multivariate logistic regression were used to analyze the relationship between variables and intestinal necrosis and construct a nomogram of intestinal necrosis. The discrimination and concordance of the model were verified by receiver operating characteristic (ROC) analysis and calibration curve, and the bootstrap method was used for internal validation of the model. The clinical applicability of the model was evaluated using the decision curve and the clinical impact curve.
Intestinal necrosis was found in 37 of 273 infants (13.6%) in this study. The vomiting symptoms, platelet count, C-reactive protein, and neutrophil-lymphocyte ratio were independent risk factors for intestinal necrosis in IIH. We then constructed a nomogram with these four factors. ROC analysis showed that the nomogram had a good diagnostic performance, with the area under the curve (AUC), sensitivity, and specificity of 0.918 (95% confidence interval: 0.880-0.956), 97.3%, and 69.9%, respectively. The nomogram was further validated using 2,000-repetition internal bootstrap validation, and the values of AUC, sensitivity, and specificity were 0.899, 95.7%, and 50.5%, respectively. The decision curve and the clinical impact curve indicated that the predictive model has a favorable clinical application.
The nomogram can be used to predict intestinal necrosis in IIH, and allow us to estimate the severity of IIH more accurately and arrange the treatment process more reasonably.
本文旨在建立一个列线图模型,用于预测 6 个月以下婴儿嵌顿性腹股沟疝(IIH)发生肠坏死的风险。
回顾性分析了 273 例行急诊手术治疗的 IIH 婴儿的临床资料。采用单因素和多因素 logistic 回归分析变量与肠坏死的关系,并构建肠坏死列线图模型。通过受试者工作特征(ROC)曲线和校准曲线验证模型的区分度和一致性,并采用 bootstrap 方法进行模型的内部验证。采用决策曲线和临床影响曲线评估模型的临床适用性。
本研究中,273 例婴儿中有 37 例(13.6%)发生肠坏死。呕吐症状、血小板计数、C 反应蛋白和中性粒细胞-淋巴细胞比值是 IIH 发生肠坏死的独立危险因素。我们根据这四个因素构建了一个列线图。ROC 分析显示,该列线图具有良好的诊断性能,曲线下面积(AUC)、敏感度和特异度分别为 0.918(95%置信区间:0.880-0.956)、97.3%和 69.9%。通过 2000 次重复内部 bootstrap 验证,AUC、敏感度和特异度的值分别为 0.899、95.7%和 50.5%。决策曲线和临床影响曲线表明,该预测模型具有良好的临床应用价值。
该列线图可用于预测 IIH 肠坏死,并能更准确地评估 IIH 的严重程度,更合理地安排治疗流程。