Construction of a risk prediction model for lower limb deep vein thrombosis during anesthesia recovery after cerebral hemorrhage surgery

LU Lu; WANG Zhao-fei; LYU Bao-feng

doi:10.11659/jjssx.07E025037

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Construction of a risk prediction model for lower limb deep vein thrombosis during anesthesia recovery after cerebral hemorrhage surgery

Clinical Research | 更新时间：2026-03-09

- Construction of a risk prediction model for lower limb deep vein thrombosis during anesthesia recovery after cerebral hemorrhage surgery
- JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY Vol. 35, Issue 2, Pages: 165-169(2026)
- 作者机构：
  
  1.郑州大学第一附属医院麻醉与围手术期及疼痛医学部，河南郑州 450000
  2.郑州大学第一附属医院麻醉科ICU，河南郑州 450000
- 作者简介：
- 基金信息：
- DOI：10.11659/jjssx.07E025037
  CLC： R651.1
- Received：09 July 2025，
  
  Published：25 February 2026
- 稿件说明：
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卢璐,王照飞,吕保峰.脑出血术后麻醉复苏期间下肢深静脉血栓风险预测模型的构建[J].局解手术学杂志,2026,35(02):165-169.

LU Lu,WANG Zhao-fei,LYU Bao-feng.Construction of a risk prediction model for lower limb deep vein thrombosis during anesthesia recovery after cerebral hemorrhage surgery[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(02):165-169.
卢璐,王照飞,吕保峰.脑出血术后麻醉复苏期间下肢深静脉血栓风险预测模型的构建[J].局解手术学杂志,2026,35(02):165-169. DOI： 10.11659/jjssx.07E025037.

LU Lu,WANG Zhao-fei,LYU Bao-feng.Construction of a risk prediction model for lower limb deep vein thrombosis during anesthesia recovery after cerebral hemorrhage surgery[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(02):165-169. DOI： 10.11659/jjssx.07E025037.

摘要

目的

探讨脑出血患者术后麻醉复苏期间发生下肢深静脉血栓(DVT)的影响因素，并建立风险列线图预测模型。

方法

选取2024年6—12月郑州大学第一附属医院120例脑出血手术患者，按麻醉复苏期间有无下肢DVT分为DVT组(

=39)与无DVT组(

=81)。收集患者临床资料、手术及实验室指标，采用多因素

Logistic

回归分析影响因素，构建列线图模型并验证效能。

结果

多因素

Logistic

回归分析结果显示，术中去甲肾上腺素、术中低血压时间、术前D-二聚体（D-D）、术前血小板计数（PLT）、术前凝血酶原时间（PT）为脑出血患者术后麻醉复苏期间发生下肢DVT的影响因素。脑出血患者术后麻醉复苏期间下肢DVT风险列线图模型一致性指数为0.910（95%

：0.887~0.952）；校正曲线与理想曲线基本一致；受试者工作特征曲线下面积（

AUC

）为0.898（95%

：0.840~0.956）；决策曲线分析（

DCA

）显示阈值概率为4%~100%时，列线图预测脑出血患者术后麻醉复苏期间发生下肢DVT的净获益值较高。

结论

术中去甲肾上腺素、术中低血压时间、术前D-D、术前PLT、术前PT是脑出血患者术后麻醉复苏期间发生DVT的影响因素。构建的列线图模型性能良好，可为临床提供精准、快速的风险评估工具。

Abstract

Objective

To explore factors influencing lower limb deep vein thrombosis （DVT） in patients after cerebral hemorrhage surgery during anesthesia recovery period and establish a nomogram-based risk prediction model.

Methods

A total of 120 patients who underwent cerebral hemorrhage surgery at the First Affiliated Hospital of Zhengzhou University from June to December 2024 were selected and divided into DVT group （

=39） and non-DVT group （

=81） based on the occurrence of lower limb DVT during anesthesia recovery period. Clinical data， surgical and laboratory indicators were collected. Multivariate

Logistic

regression analysis was employed t

o identify influencing factors， followed by the construction and validation of a nomogram model.

Results

Multivariate

Logistic

regression analysis showed that intraoperative norepinephrine use，intraoperative hypotensive duration，preoperative D-dimer （D-D），preoperative platelet count （PLT），and preoperative prothrombin time （PT） were the influencing factors of lower limb DVT in patients after cerebral hemorrhage surgery during anesthesia recovery period. The

concordance index

of the nomogram model for predicting the risk of lower limb DVT in patients after cerebral hemorrhage surgery during anesthesia recovery period was 0.910 （95%

： 0.887 to 0.952）. The calibration curve showed good agreement with the ideal curve. The

area under the

receiver operating characteristic curve

（

AUC

） was 0.898 （95%

： 0.840 to 0.956）.

Decision curve analysis

（

DCA

） indicated that the nomogram provided a high net benefit for predicting lower limb DVT when the threshold probability ranged from 4% to 100%.

Conclusion

Intraoperative norepinephrine use，intraoperative hypotensive duration，preoperative D-D，PLT，and PT are factors influencing DVT occurrence after cerebral hemorrhage surgery during anesthesia recovery period.The constructed nomogram model exhibits good performance and can serve as an accurate and rapid tool for clinical risk assessment.

关键词

Keywords

references

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