Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma

Peng-Fei Li; Xin Lu; Yu-Qian Zhou; Ke Wang; Peng Yang; Xiong-Hui Chen; Feng Xu

doi:10.24920/004411

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Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma

Chinese Medical Sciences Journal Vol. 39, Issue 4, Pages: 241-248(2024)

Research Articles | Updated：2025-03-07

- Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma
- Affiliations：
  
  Department of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou215000, Jiangsu, China
- Author bio：
  
  E-mail: fxu8563@163.com
- Funds：
  
  苏州市基础研究专项项目（原创探索专项面上项目）
- DOI：10.24920/004411
  CLC：
- Received：05 August 2024，
  
  Accepted：2024-11-12，
  
  Published Online：23 December 2024，
  
  Published：31 December 2024
- Accepted：
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李鹏飞,路鑫,周雨倩等.系统免疫炎症指数、全身炎症综合指数及系统炎症反应指数对重症创伤后下肢深静脉血栓的预测价值[J].中国医学科学杂志（英文）,2024,39(04):241-248.

Li Peng-Fei,Lu Xin,Zhou Yu-Qian,et al.Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma[J].Chinese Medical Sciences Journal,2024,39(04):241-248.
李鹏飞,路鑫,周雨倩等.系统免疫炎症指数、全身炎症综合指数及系统炎症反应指数对重症创伤后下肢深静脉血栓的预测价值[J].中国医学科学杂志（英文）,2024,39(04):241-248. DOI： 10.24920/004411.

Li Peng-Fei,Lu Xin,Zhou Yu-Qian,et al.Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma[J].Chinese Medical Sciences Journal,2024,39(04):241-248. DOI： 10.24920/004411.

摘要

目的

静脉血栓栓塞症是多发伤后常见的并发症之一，是导致患者预后不良的重要因素。本研究旨在探讨重症创伤患者发生下肢深静脉血栓（lower extremity deep venous thrombosis，LEDVT）的危险因素，并评估这些危险因素对LEDVT的预测价值。

方法

本研究为回顾性、单中心观察性研究。研究对象为2022年1月至2024年5月被收住于苏州大学附属第一医院创伤ICU的重症创伤患者。根据受伤至伤后30天内的超声检查结果，将发生LEDVT的患者纳入LEDVT组，未发生LEDVT的患者纳入NLEDVT组。入院时收集患者的人口学、临床和实验室检查数据。采用多因素逻辑回归识别LEDVT的危险因素，并利用受试者特征曲线（receiver operating characteristic，ROC）评估模型的整体拟合效果。

结果

LEDVT组纳入56例患者，NLEDVT组纳入81例患者。年龄、全身炎症综合指数（Aggregate Index of Systemic Inflammation，AISI），系统炎症反应指数（Systemtic Immune Inflammation，SIRI），ICU住院时间及白蛋白是LEDVT的独立危险因素（

＜ 0.05）。这些指标的ROC曲线下面积分别为0.604，0.657，0.694，0.668和0.405。综合分析年龄、SIRI、AISI及白蛋白对重症创伤患者发生LEDVT的预测效能，结果显示ROC曲线下面积为0.805（95%CI：0.73，0.88，

= 0.037）。

结论

综合年龄、SIRI、AISI和白蛋白的分析模型对重症创伤患者发生LEDVT具有预测价值。

Abstract

Objective

Venous thromboembolism is a highly prevalent condition after polytrauma

and recognized as an important factor contributing to poor prognosis. The aim of this study was to investigate the risk factors for lower extremity deep venous thrombosis (LEDVT) in a severely traumatized population and to evaluate their predictive value for LEDVT.

Methods

This was a retrospective

single-center observational study. All subjects were severely traumatized patients who were admitted to the Traumatic Intensive Care Unit from January 2021 to May 2024. Based on Doppler ultrasound findings of both lower extremities from the time of injury to 30 days post-injury

patients who developed LEDVT were enrolled in the LEDVT group

and those who did not develop LEDVT were enrolled in the NLEDVT group. Demographic

clinical

and laboratory data were collected upon admission. Multivariable logistic regression analysis was performed to identify risk factors for LEDVT. Receiver operating characteristic (ROC) curve was used to evaluate the overall fit of the final model.

Results

There were 56 patients enrolled in the LEDVT group and 81 patients in the NLEDVT group.Age

Aggregate Index of Systemic Inflammation (AISI)

Systemic Inflammation Response Index (SIRI)

ICU length of stay

and albumin were identified as independent risk factors for LEDVT (all

0.05). The area under their ROC curves were 0.604

0.657

0.694

0.668

and 0.405

respectively. Combined model for early clinical prediction of LEDVT in severely traumatized patients by age

SIRI

AISI

and albumin resulted in an area under the ROC curve of 0.805 (95%

: 0.73-0.88

= 0.037).

Conclusion

The combination of age

SIRI

AISI

and albumin has a predictive value for LEDVT in severely traumatized patients.

关键词

Keywords

references

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