Impact of Pericoronary Adipose Tissue Attenuation on Periprocedural Myocardial Injury in Patients With Chronic Coronary Syndrome
BACKGROUND: Perivascular inflammation contributes to the development of atherosclerosis and microcirculatory dysfunction. Pericoronary adipose tissue (PCAT) attenuation, measured by coronary computed tomography angiography, is a potential indicator of coronary inflammation. However, the relationship between PCAT attenuation, microcirculatory dysfunction, and periprocedural myocardial injury (PMI) remains unclear.
METHODS AND RESULTS: Patients with chronic coronary syndrome who underwent coronary computed tomography angiography before percutaneous coronary intervention were retrospectively identified. PCAT attenuation and adverse plaque characteristics were assessed using coronary computed tomography angiography. The extent of microcirculatory dysfunction was evaluated using the angio-based index of microcirculatory resistance before and after percutaneous coronary intervention. Overall, 125 consecutive patients were included, with 50 experiencing PMI (PMI group) and 75 without PMI (non-PMI group). Multivariable analysis showed that older age, higher angio-based index of microcirculatory resistance, presence of adverse plaque characteristics, and higher lesion-based PCAT attenuation were independently associated with PMI occurrence (odds ratio [OR], 1.07 [95% CI, 1.01-1.13]; P=0.02; OR, 1.06 [95% CI, 1.00-1.12]; P=0.04; OR, 6.62 [95% CI, 2.13-20.6]; P=0.001; and OR, 2.89 [95% CI, 1.63-5.11]; P<0.001, respectively). High PCAT attenuation was correlated with microcirculatory dysfunction before and after percutaneous coronary intervention and its exacerbation during percutaneous coronary intervention. Adding lesion-based PCAT attenuation to the presence of adverse plaque characteristics improved the discriminatory and reclassification ability in predicting PMI.
CONCLUSIONS: Adding PCAT attenuation at the culprit lesion level to coronary computed tomography angiography-derived adverse plaque characteristics may provide incremental benefit in identifying patients at risk of PMI. Our results highlight the importance of microcirculatory dysfunction in PMI development, particularly in the presence of lesions with high PCAT attenuation.
REGISTRATION: URL: https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000057722; Unique identifier: UMIN000050662.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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| Enthalten in: |
Journal of the American Heart Association - 13(2024), 3 vom: 06. Feb., Seite e031209 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yamamoto, Tetsuya [VerfasserIn] |
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| Links: |
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| Themen: |
Adverse plaque characteristics |
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| Anmerkungen: |
Date Completed 07.02.2024 Date Revised 07.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1161/JAHA.123.031209 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367307251 |
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| 100 | 1 | |a Yamamoto, Tetsuya |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Impact of Pericoronary Adipose Tissue Attenuation on Periprocedural Myocardial Injury in Patients With Chronic Coronary Syndrome |
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| 520 | |a BACKGROUND: Perivascular inflammation contributes to the development of atherosclerosis and microcirculatory dysfunction. Pericoronary adipose tissue (PCAT) attenuation, measured by coronary computed tomography angiography, is a potential indicator of coronary inflammation. However, the relationship between PCAT attenuation, microcirculatory dysfunction, and periprocedural myocardial injury (PMI) remains unclear | ||
| 520 | |a METHODS AND RESULTS: Patients with chronic coronary syndrome who underwent coronary computed tomography angiography before percutaneous coronary intervention were retrospectively identified. PCAT attenuation and adverse plaque characteristics were assessed using coronary computed tomography angiography. The extent of microcirculatory dysfunction was evaluated using the angio-based index of microcirculatory resistance before and after percutaneous coronary intervention. Overall, 125 consecutive patients were included, with 50 experiencing PMI (PMI group) and 75 without PMI (non-PMI group). Multivariable analysis showed that older age, higher angio-based index of microcirculatory resistance, presence of adverse plaque characteristics, and higher lesion-based PCAT attenuation were independently associated with PMI occurrence (odds ratio [OR], 1.07 [95% CI, 1.01-1.13]; P=0.02; OR, 1.06 [95% CI, 1.00-1.12]; P=0.04; OR, 6.62 [95% CI, 2.13-20.6]; P=0.001; and OR, 2.89 [95% CI, 1.63-5.11]; P<0.001, respectively). High PCAT attenuation was correlated with microcirculatory dysfunction before and after percutaneous coronary intervention and its exacerbation during percutaneous coronary intervention. Adding lesion-based PCAT attenuation to the presence of adverse plaque characteristics improved the discriminatory and reclassification ability in predicting PMI | ||
| 520 | |a CONCLUSIONS: Adding PCAT attenuation at the culprit lesion level to coronary computed tomography angiography-derived adverse plaque characteristics may provide incremental benefit in identifying patients at risk of PMI. Our results highlight the importance of microcirculatory dysfunction in PMI development, particularly in the presence of lesions with high PCAT attenuation | ||
| 520 | |a REGISTRATION: URL: https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000057722; Unique identifier: UMIN000050662 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a adverse plaque characteristics | |
| 650 | 4 | |a coronary computed tomography angiography | |
| 650 | 4 | |a pericoronary adipose tissue | |
| 650 | 4 | |a periprocedural myocardial injury | |
| 700 | 1 | |a Kawamori, Hiroyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Toba, Takayoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Sasaki, Satoru |e verfasserin |4 aut | |
| 700 | 1 | |a Fujii, Hiroyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Hamana, Tomoyo |e verfasserin |4 aut | |
| 700 | 1 | |a Osumi, Yuto |e verfasserin |4 aut | |
| 700 | 1 | |a Iwane, Seigo |e verfasserin |4 aut | |
| 700 | 1 | |a Naniwa, Shota |e verfasserin |4 aut | |
| 700 | 1 | |a Sakamoto, Yuki |e verfasserin |4 aut | |
| 700 | 1 | |a Matsuhama, Koshi |e verfasserin |4 aut | |
| 700 | 1 | |a Fukuishi, Yuta |e verfasserin |4 aut | |
| 700 | 1 | |a Hirata, Ken-Ichi |e verfasserin |4 aut | |
| 700 | 1 | |a Otake, Hiromasa |e verfasserin |4 aut | |
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