Association between pan‑immune‑inflammation value and severity of coronary artery disease

JIN Mengying; ZHANG Bing; PENG Aihong; WAN Jing

doi:10.14188/j.1671-8852.2024.0866

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Association between pan‑immune‑inflammation value and severity of coronary artery disease

更新时间：2026-11-06

- Association between pan‑immune‑inflammation value and severity of coronary artery disease
- Medical Journal of Wuhan University Vol. 46, Issue 12, Pages: 1605-1609(2025)
- 作者机构：
  
  武汉大学中南医院心血管内科湖北武汉 430071
- 作者简介：
- 基金信息：
- DOI：10.14188/j.1671-8852.2024.0866
  CLC： R541.4
- Received：10 November 2024，
  
  Published：25 December 2025
- 稿件说明：
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金梦莹,张冰,彭爱红等.泛免疫炎症值与冠心病严重程度的相关性[J].武汉大学学报（医学版）,2025,46(12):1605-1609.

JIN Mengying,ZHANG Bing,PENG Aihong,et al.Association between pan‑immune‑inflammation value and severity of coronary artery disease[J].Medical Journal of Wuhan University,2025,46(12):1605-1609.
金梦莹,张冰,彭爱红等.泛免疫炎症值与冠心病严重程度的相关性[J].武汉大学学报（医学版）,2025,46(12):1605-1609. DOI： 10.14188/j.1671-8852.2024.0866.

JIN Mengying,ZHANG Bing,PENG Aihong,et al.Association between pan‑immune‑inflammation value and severity of coronary artery disease[J].Medical Journal of Wuhan University,2025,46(12):1605-1609. DOI： 10.14188/j.1671-8852.2024.0866.

摘要

目的

探讨泛免疫炎症值（PIV）与冠状动脉粥样硬化性心脏病（CAD）严重程度之间的关系。

方法

本研究纳入了2018年1月至2023年12月于武汉大学中南医院行冠状动脉造影确诊为冠心病的1 093名患者。根据PIV的三分位数，将所有患者分为三组。根据Gensini评分的中位数将CAD患者分为轻度狭窄组和重度狭窄组。

结果

研究结果显示PIV与CAD患者冠状动脉病变严重程度存在显著相关性，是CAD患者冠状动脉狭窄程度的独立危险因素。ROC曲线分析示，PIV预测重度狭窄CAD的曲线下面积为0.641，高于其他炎症生物标志物。

结论

CAD患者PIV值与冠状动脉狭窄的严重程度密切相关，且优于其他基于全血细胞计数的炎症生物标志物，因此

PIV可以作为CAD患者冠状动脉病变严重程度的预测指标。

Abstract

Objective

To reveal the association between pan‑immune‑inflammation value (PIV) and coronary artery disease (CAD) severity.

Methods

This study enrolled 1 093 Chinese

Han

patients who were diagnosed with CAD by coronary angiography from January 2018 to December 2023. All patients were classified into three groups according to the tertiles of the PIV. CAD patients were divided into the mild stenosis group and the severe stenosis group according to the median Gensini score.

Results

A significant relationship between the PIV and the severity of CAD was observed

and PIV was an independent risk factor for coronary stenosis degree in patients with CAD. In terms of predictive

accuracy

the area under the ROC curve (

AUC

) of PIV for predicting severe stenosis CAD was 0.641

which was significantly higher than that of other inflammatory biomarkers.

Conclusion

PIV was associated with the severity of CAD and outperformed other complete blood count‑based inflammatory biomarkers. Therefore

PIV can serve as a predictor of the severity of CAD.

关键词

Keywords

references

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Related Author

JIN Mengying

ZHANG Bing

PENG Aihong

WAN Jing

Xin CHEN

Deng HU

Yan LIN

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Related Institution

Dept. of Cardiology, Zhongnan Hospital of Wuhan University

Dept. of Cardiology， Zhongnan Hospital of Wuhan University

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