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Prognostic efficacy of pericoronary fat attenuation index and fibrous plaque index in patients with acute coronary syndrome
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Cong HUANG1, Feng WEN1, Xinglan WANG2, Chen LIU1, Hongqin LIANG1, Xi YANG1, Chengwei MOU1, Jian WANG1
Journal of Army Medical University | 2025, 47(17) : 2106 - 2114
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Journal of Army Medical University | 2025, 47(17): 2106-2114
• Clinical Medicine •
Prognostic efficacy of pericoronary fat attenuation index and fibrous plaque index in patients with acute coronary syndrome
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Cong HUANG1, Feng WEN1, Xinglan WANG2, Chen LIU1, Hongqin LIANG1, Xi YANG1, Chengwei MOU1, Jian WANG1
Affiliations
  • 1Department of Radiology,First Affiliated Hospital,Army Medical University (Third Military Medical University),Chongqing
  • 2Department of Radiology,Yongchuan Hospital of Chongqing Medical University,Chongqing,China
Published: 2025-09-15 doi: 10.16016/j.2097-0927.202506062
Outline
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Objective‍

To explore the predictive value of fat attenuation index (FAI) and fibrous plaque index (FPI) for the prognosis of patients with acute coronary syndrome (ACS).

Methods‍

‍A retrospective cohort study was conducted on 334 ACS patients undergoing percutaneous coronary intervention (PCI) in the First Affiliated Hospital of Army Military Medical University and Yongchuan Hospital of Chongqing Medical University from March 2021 to July 2023. All patients received coronary computed tomography angiography (CCTA) to measure FAI and FPI. According to the occurrence of major adverse cardiovascular events (MACE) with 1 year of follow-up,they were divided into MACE group (n=108) and non-MACE group (n=226). The baseline data,CCTA data and results of laboratory tests were collected and compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the relationship of FAI and FPI with the prognosis of ACS patients,and ROC curve was drawn to evaluate its predictive efficiency.

Results‍

Among the 334 ACS patients,108 (32.34%) experienced MACE. When compared with the non-MACE group,the MACE group exhibited significantly larger proportions of diabetes (72.22% vs 31.86%) and left main coronary artery disease (18.52% vs 7.08%),but lower success rate of operation (79.63% vs 93.81%,P<0.05). Radiologic results showed that the proportion of severe stenosis (20.37% vs 10.62%),FAI (-80.12±6.41 HU vs -72.34±7.09 HU) and FPI (0.58±0.41 vs 0.26±0.12) were obviously increased in the MACE group than the non-MACE group (P<0.05). Laboratory tests indicated that there were statistical differences between the 2 groups in high-density lipoprotein-cholesterol (HDL-C,1.20±0.15 vs 1.09±0.16 mmol/L),miR-126 (0.91±0.12 vs 0.96±0.15) and SST2 (38.45±5.67 vs 34.30±4.89 ng/mL,P<0.05). Multivariate Logistic regression analysis revealed that FAI (OR=1.200,95%CI:1.136~1.268),FPI (OR=63.157,95%CI:14.126~282.374),moderate stenosis (OR=1.332,95%CI:1.024~1.859),severe stenosis (OR=1.480,95%CI:1.074~2.039),miR-126 (OR=0.007,95%CI:0.001~0.077),and sST2 (OR=1.192,95%CI:1.113~1.277) were independent predictors of MACE (P<0.05). ROC curve analysis displayed that stenosis degree (AUC=0.622,95%CI:0.561~0.683,P=0.001),FAI (AUC=0.790,95%CI:0.741~0.839,P=0.001) and FPI (AUC=0.700,95%CI:0.638~0.761,P=0.001),miR-126(AUC=0.646,95%CI:0.584~0.707,P=0.001),sST2 (AUC=0.700,95%CI:0.638~0.761,P=0.001) had certain predictive values for ACS prognosis.

Conclusion‍

Coronary FAI and FPI can be used as independent prognostic indicators of ACS patients,and their numerical changes are closely related to plaque stability and inflammatory state.

pericoronary adipose tissue  /  pericoronary fat attenuation index  /  fibrous plaque index  /  acute coronary syndrome  /  major adverse cardiovascular events
黄聪, 文凤, 王兴兰, 刘晨, 梁红琴, 杨茜, 牟成维, 王健. 冠状动脉周围脂肪衰减指数与纤维斑块指数预测急性冠状动脉综合征患者预后的效能研究. 陆军军医大学学报, 2025 , 47 (17) : 2106 -2114 . DOI: 10.16016/j.2097-0927.202506062
Cong HUANG, Feng WEN, Xinglan WANG, Chen LIU, Hongqin LIANG, Xi YANG, Chengwei MOU, Jian WANG. Prognostic efficacy of pericoronary fat attenuation index and fibrous plaque index in patients with acute coronary syndrome[J]. Journal of Army Medical University, 2025 , 47 (17) : 2106 -2114 . DOI: 10.16016/j.2097-0927.202506062
Year 2025 volume 47 Issue 17
21
9
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Article Info
doi: 10.16016/j.2097-0927.202506062
  • Receive Date:2025-06-22
  • Online Date:2026-10-28
  • Published:2025-09-15
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History
  • Received:2025-06-22
  • Revised:2025-08-05
Affiliations
    1Department of Radiology,First Affiliated Hospital,Army Medical University (Third Military Medical University),Chongqing
    2Department of Radiology,Yongchuan Hospital of Chongqing Medical University,Chongqing,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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