临床外科杂志 ›› 2026, Vol. 34 ›› Issue (1): 95-98.doi: 10.3969/j.issn.1005-6483.20250075

• 论著 • 上一篇    下一篇

动脉硬化闭塞症病人介入治疗后复发的预测模型构建

仵志远,李华刚,马卉   

  1. 230011 安徽合肥,安徽中医药大学第一附属医院血管乳腺外科
  • 出版日期:2026-01-20 发布日期:2026-01-20

Construction of prediction model for recurrence of arteriosclerotic obliterans after interventional therapy

WU Zhiyuan,LI Huagang,MA Hui   

  1. Department of Vascular and Breast Surgery,Anhui University of Traditional Chinese Medicine First Affiliated Hospital,Hefei 230011,〖WTBZ〗China
  • Online:2026-03-05 Published:2026-01-20

摘要: 目的探讨动脉硬化闭塞症病人介入治疗后复发的危险因素,并构建复发风险危险因素预测模型。方法2021年1月~2023年1月收治动脉硬化闭塞症病人80例。介入治疗后均随访1年,根据随访结果将其分为复发组和未复发组。收集两组病人临床资料和生化指标,基于危险因素构建复发风险列线图模型,并进行验证。结果年龄≥60岁、吸烟史、高血压、糖尿病、完全闭塞病变、超敏C反应蛋白(hs-CRP)≥8.00 mg/L均是影响动脉硬化闭塞症病人介入治疗后复发的危险因素(P<0.05)。列线图风险模型预测动脉硬化闭塞症病人介入治疗后复发的ROC曲线下面积(AUC)、95%CI、灵敏性、特异性分别为0.873、0.654~0.987、96.40%、74.50%(P<0.05),表明该模型预测效能良好。列线图预测模型C指数为0.832(95%CI0.787~0.991)。预测值与实际预测值均在理想曲线附近,Hosmer-Lemeshow拟合优度曲线检验χ2=2.641,P=0.659。结论基于年龄≥60岁、吸烟史、高血压、糖尿病、完全闭塞病变、hs-CRP≥8.00 mg/L等6个危险因素构建的列线图模型对动脉硬化闭塞症病人介入治疗后复发风险具有较好的预测效能。

关键词: 动脉硬化闭塞症, 介入治疗, 复发, 预测模型

Abstract: Objective To explore the risk factors of relapse in patients with arteriosclerosis obliterans after interventional therapy,and to construct a recurrence risk prediction model based on the risk factors.Methods Eighty patients with arteriosclerosis obliterans were selected as the research subjects and all were admitted to our hospital from January 2021 to January 2023.All the research subjects were followed up for one year after interventional therapy.According to the follow-up results,they were divided into the recurrence group and the non-recurrence group.The clinical data and biochemical indicators of the two groups of patients were collected,the risk factors were screened,a nomogram model of recurrence risk was constructed based on the risk factors and verified.Results Age ≥60 years old,smoking history,hypertension,diabetes,complete occlusive lesions,and hs-CRP≥8.00 mg/L are all risk factors affecting the recurrence of patients with arteriosclerosis obliterans after interventional therapy (P<0.05).The area under the ROC curve (AUC),95% confidence interval (CI),sensitivity and specificity of the nomogram risk model for predicting recurrence in patients with arteriosclerosis obliterans after interventional therapy were 0.873,0.654-0.987,96.40% and 74.50% respectively (P<0.05),indicating that the predictive efficacy of this model was good.The C-index of the nomogram prediction model was 0.832 (95%CI 0.787-0.991).Both the predicted values and the actual predicted values were near the ideal curve.The Hosmer-Lemeshow goodness-of-fit curve test χ2=2.641,P=0.659.Conclusion The nomogram model constructed based on six risk factors,namely age ≥60 years old,smoking history,hypertension,diabetes,complete occlusive lesions,and hs-CRP≥8.00 mg/L,has a good predictive efficacy for the recurrence risk of patients with arteriosclerosis obliterans after interventional therapy.

Key words: arteriosclerotic obliterans, interventional therapy, recurrence, prediction model

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