中国当代医药2025，Vol.32Issue(19)：15-18,4.DOI:10.3969/j.issn.1674-4721.2025.19.03
基于列线图构建脊柱外科术后尿潴留的风险预测模型
A risk prediction model for urinary retention after spinal surgery was constructed based on nomogram
摘要
Abstract
Objective To construct a nomogram risk prediction model in postoperative urinary retention(POUR)after spinal surgery and verify its predictive value.Methods The clinical data of 100 spinal surgery patients admitted to Leping Hospital of Traditional Chinese Medicine of Jiangxi Province from June 2020 to November 2023 were retrospectively analyzed.The patients admitted from June 2020 to June 2022 were divided into three groups according to the ratio of 7∶3.The patients admitted from June 2020 to June 2022 were selected as the modeling group(70 cases).Patients admitted between July 2022 and November 2023 were selected as the validation group(30 cases).Patients in the modeling group were divided into the non-POUR group(59 cases)and the POUR group(11 cases).Univariate and multivariate analyses were used,and prediction models were constructed to evaluate model performance.Results The POUR rate in the modeling group was 15.71％(11/70).Univariate results showed that there were statistically significant differences in age,type of surgery,mode of anesthesia,urinary catheter retention time,bed time and spinal cord injury between the non-POUR group and the POUR group(P＜0.05).The results of multivariate analysis suggested that age([3=0.075,OR=1.078,95％CI:1.003-1.158),spinal cord injury(β=3.011,OR=20.312,95％CI:1.422-290.203),open spinal surgery(β=2.782,OR=16.151,95％CI:1.203-216.874)were independent risk factors for POUR in spinal surgery(P＜0.05).The prediction performance was good and the fitting degree was good(P＜0.05).Conclusion Factors such as patient age,spinal cord injury,and minimally invasive spinal surgery have a high predictive value for the occurrence of POUR.This model can help identify high-risk patients,optimize postoperative care plans,and improve treatment quality.关键词
脊柱外科手术/术后尿潴留/因素分析/列线图/预测价值Key words
Spinal surgery/Postoperative urinary retention/Factor analysis/Nomogram/Predictive value分类
医药卫生引用本文复制引用
华怡然,杨小芹,邵小林..基于列线图构建脊柱外科术后尿潴留的风险预测模型[J].中国当代医药,2025,32(19):15-18,4.基金项目
江西省卫生健康委科技计划项目(202140429). （202140429）
