A型主动脉夹层患者主动脉全弓置换术后永久性神经功能障碍风险预测模型的构建

Development of a risk prediction model for permanent neurological dysfunction after total aortic arch replacement in patients with type A aortic dissection

  • 摘要:
    目的 探讨A型主动脉夹层患者主动脉全弓置换术后永久性神经功能障碍(PND)的危险因素,并构建A型主动脉夹层患者主动脉全弓置换术后PND的列线图模型。
    方法 选取南京医科大学第一附属医院于2020年1月至2023年10月收治的行主动脉全弓置换术的A型主动脉夹层患者337例作为研究对象,根据A型主动脉夹层患者主动脉全弓置换术后PND情况将其分为PND组和无PND组。采用多因素logistic回归筛选A型主动脉夹层患者主动脉全弓置换术后PND的危险因素,采用R(4.2.3)构建A型主动脉夹层患者主动脉全弓置换术后PND的列线图模型。
    结果 PND组和无PND组的性别、年龄、急性期比例、低蛋白血症、心包积液、深低温低循环时间、呼吸机使用时间、超重/肥胖、贫血、吸烟等资料差异均无统计学意义(均P>0.05),而主动脉阻断时间、体外循环时间、糖尿病、高血压及A型主动脉夹层严重程度等资料差异均有统计学意义(均P<0.05)。多因素logistic回归分析结果显示,主动脉阻断时间(OR = 1.066,95%CI:1.040~1.092)、体外循环时间(OR = 1.023,95%CI:1.014~1.033)、糖尿病(OR = 4.003,95%CI:1.612~9.941)、高血压(OR = 2.617,95%CI:1.268~5.401)及破裂型夹层(OR = 2.855,95%CI:1.351~6.032)是A型主动脉夹层患者主动脉全弓置换术后PND的危险因素(均P<0.05)。A型主动脉夹层患者主动脉全弓置换术后PND的列线图模型的受试者操作特征(ROC)曲线下面积为0.857(95%CI 0.797~0.918),校准斜率为1.354、Brier分数为0.074,灵敏度为88.50%,特异度为71.20%;Hosmer-Lemeshow检验结果显示χ2 = 11.934,P = 0.154,校正曲线的预测概率和实际概率一致性较好;决策曲线及临床影响曲线均显示列线图模型的临床效益较好。
    结论 主动脉阻断时间、体外循环时间、糖尿病、高血压及破裂型夹层是A型主动脉夹层患者主动脉全弓置换术后PND的危险因素,A型主动脉夹层患者主动脉全弓置换术后PND的列线图模型的准确性和临床实用性尚可。

     

    Abstract:
    Objective To explore the risk factors of permanent neurological dysfunction (PND) in patients with type A aortic dissection after total arch replacement, and to construct a nomogram model for predicting PND in these patients.
    Methods A total of 337 patients with type A aortic dissection who underwent total arch replacement in the First Affiliated Hospital with Nanjing Medical University from January 2020 to October 2023 were selected as the study subjects. The patients were divided into PND group and non-PND group based on the occurrence of PND after total arch replacement. The risk factors of PND following total aortic arch replacement in patients with type A aortic dissection were screened using multivariate logistic regression analysis, and a nomogram model for predicting PND after total aortic arch replacement in these patients was constructed using R (version 4.2.3).
    Results There were no statistically significant differences in gender, age, acute phase, hypoproteinemia, pericardial effusion, deep hypothermic circulatory arrest time, ventilator use time, overweight/obesity, anemia, smoking and other data between PND group and non-PND group (P>0.05), while there were statistically significant differences in aortic cross-clamping time, cardiopulmonary bypass time, diabetes, hypertension and the severity of type A aortic dissection (P<0.05). The multivariate logistic regression analysis indicated that aortic cross-clamp time (OR = 1.066, 95% CI: 1.040 to 1.092), cardiopulmonary bypass time (OR = 1.023, 95%CI:1.014 to 1.033), diabetes (OR = 4.003, 95%CI:1.612 to 9.941), hypertension (OR = 2.617,95%CI: 1.268 to 5.401), and ruptured dissection (OR = 2.855, 95%CI:1.35 to 6.032) were risk factors for PND following total aortic arch replacement in patients with type A aortic dissection (all P<0.05). The nomogram model developed to predict PND in these patients demonstrated an area under the receiver operating characteristic (ROC) curve of 0.857 (95%CI: 0.797 to 0.918), with a calibration slope of 1.354 and a Brier score of 0.074. The model showed a sensitivity of 88.50% and a specificity of 71.20%. The Hosmer-Lemeshow test yielded χ2 = 11.934 and P = 0.154, suggesting good agreement between predicted and observed probabilities in the calibration curve. Furthermore, both decision curve analysis and clinical impact curve evaluation demonstrated favorable clinical utility of the nomogram model.
    Conclusions Aortic cross-clamp time, cardiopulmonary bypass time, diabetes, hypertension, and ruptured dissection are risk factors for PND following total aortic arch replacement in patients with type A aortic dissection. The nomogram model developed for predicting PND demonstrates acceptable accuracy and clinical utility.

     

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