Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes
Background: Plaque erosion is responsible for 25% to 40% of patients with acute coronary syndromes (ACS). Recent studies suggest that anti-thrombotic therapy without stenting may be an option for this subset of patients. Currently, however, an invasive procedure is required to make a diagnosis of pl...
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Language: | English |
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Ovid Technologies (Wolters Kluwer Health)
2021
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Online Access: | https://hdl.handle.net/1721.1/128946 |
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author | Yamamoto, Erika Yonetsu, Taishi Kakuta, Tsunekazu Soeda, Tsunenari Saito, Yoshihiko Yan, Bryan P. Kurihara, Osamu Takano, Masamichi Niccoli, Giampaolo Higuma, Takumi Kimura, Shigeki Minami, Yoshiyasu Ako, Junya Adriaenssens, Tom Boeder, Niklas F. Nef, Holger M. Fracassi, Francesco Sugiyama, Tomoyo Lee, Hang Crea, Filippo Kimura, Takeshi Fujimoto, James G Fuster, Valentin Jang, Ik‐Kyung |
author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Yamamoto, Erika Yonetsu, Taishi Kakuta, Tsunekazu Soeda, Tsunenari Saito, Yoshihiko Yan, Bryan P. Kurihara, Osamu Takano, Masamichi Niccoli, Giampaolo Higuma, Takumi Kimura, Shigeki Minami, Yoshiyasu Ako, Junya Adriaenssens, Tom Boeder, Niklas F. Nef, Holger M. Fracassi, Francesco Sugiyama, Tomoyo Lee, Hang Crea, Filippo Kimura, Takeshi Fujimoto, James G Fuster, Valentin Jang, Ik‐Kyung |
author_sort | Yamamoto, Erika |
collection | MIT |
description | Background: Plaque erosion is responsible for 25% to 40% of patients with acute coronary syndromes (ACS). Recent studies suggest that anti-thrombotic therapy without stenting may be an option for this subset of patients. Currently, however, an invasive procedure is required to make a diagnosis of plaque erosion. The aim of this study was to identify clinical or laboratory predictors of plaque erosion in patients with ACS to enable a diagnosis of erosion without additional invasive procedures. Methods and Results: Patients with ACS who underwent optical coherence tomography imaging were selected from 11 institutions in 6 countries. The patients were classified into plaque rupture, plaque erosion, or calcified plaque, and predictors were identified using multivariable logistic modeling. Among 1241 patients with ACS, 477 (38.4%) patients were found to have plaque erosion. Plaque erosion was more frequent in non–ST-segment elevation-ACS than in ST-segment–elevation myocardial infarction (47.9% versus 29.8%, P=0.0002). Multivariable logistic regression models showed 5 independent parameters associated with plaque erosion: age <68 years, anterior ischemia, no diabetes mellitus, hemoglobin >15.0 g/dL, and normal renal function. When all 5 parameters are present in a patient with non–ST-segment elevation-ACS, the probability of plaque erosion increased to 73.1%. Conclusions: Clinical and laboratory parameters associated with plaque erosion are explored in this retrospective registry study. These parameters may be useful to identify the subset of ACS patients with plaque erosion and guide them to conservative management without invasive procedures. The results of this exploratory analysis need to be confirmed in large scale prospective clinical studies. Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT03479723. |
first_indexed | 2024-09-23T14:07:32Z |
format | Article |
id | mit-1721.1/128946 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T14:07:32Z |
publishDate | 2021 |
publisher | Ovid Technologies (Wolters Kluwer Health) |
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spelling | mit-1721.1/1289462022-10-01T19:20:34Z Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes Yamamoto, Erika Yonetsu, Taishi Kakuta, Tsunekazu Soeda, Tsunenari Saito, Yoshihiko Yan, Bryan P. Kurihara, Osamu Takano, Masamichi Niccoli, Giampaolo Higuma, Takumi Kimura, Shigeki Minami, Yoshiyasu Ako, Junya Adriaenssens, Tom Boeder, Niklas F. Nef, Holger M. Fracassi, Francesco Sugiyama, Tomoyo Lee, Hang Crea, Filippo Kimura, Takeshi Fujimoto, James G Fuster, Valentin Jang, Ik‐Kyung Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Background: Plaque erosion is responsible for 25% to 40% of patients with acute coronary syndromes (ACS). Recent studies suggest that anti-thrombotic therapy without stenting may be an option for this subset of patients. Currently, however, an invasive procedure is required to make a diagnosis of plaque erosion. The aim of this study was to identify clinical or laboratory predictors of plaque erosion in patients with ACS to enable a diagnosis of erosion without additional invasive procedures. Methods and Results: Patients with ACS who underwent optical coherence tomography imaging were selected from 11 institutions in 6 countries. The patients were classified into plaque rupture, plaque erosion, or calcified plaque, and predictors were identified using multivariable logistic modeling. Among 1241 patients with ACS, 477 (38.4%) patients were found to have plaque erosion. Plaque erosion was more frequent in non–ST-segment elevation-ACS than in ST-segment–elevation myocardial infarction (47.9% versus 29.8%, P=0.0002). Multivariable logistic regression models showed 5 independent parameters associated with plaque erosion: age <68 years, anterior ischemia, no diabetes mellitus, hemoglobin >15.0 g/dL, and normal renal function. When all 5 parameters are present in a patient with non–ST-segment elevation-ACS, the probability of plaque erosion increased to 73.1%. Conclusions: Clinical and laboratory parameters associated with plaque erosion are explored in this retrospective registry study. These parameters may be useful to identify the subset of ACS patients with plaque erosion and guide them to conservative management without invasive procedures. The results of this exploratory analysis need to be confirmed in large scale prospective clinical studies. Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT03479723. 2021-01-04T20:47:49Z 2021-01-04T20:47:49Z 2019-11 2019-03 2020-12-14T19:57:29Z Article http://purl.org/eprint/type/JournalArticle 2047-9980 https://hdl.handle.net/1721.1/128946 Yamamoto, Erika et al. "Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes." Journal of the American Heart Association 8, 21 (November 2019): dx.doi.org/10.1161/jaha.119.012322 © 2019 The Authors en http://dx.doi.org/10.1161/jaha.119.012322 Journal of the American Heart Association Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/ application/pdf Ovid Technologies (Wolters Kluwer Health) Journal of the American Heart Association |
spellingShingle | Yamamoto, Erika Yonetsu, Taishi Kakuta, Tsunekazu Soeda, Tsunenari Saito, Yoshihiko Yan, Bryan P. Kurihara, Osamu Takano, Masamichi Niccoli, Giampaolo Higuma, Takumi Kimura, Shigeki Minami, Yoshiyasu Ako, Junya Adriaenssens, Tom Boeder, Niklas F. Nef, Holger M. Fracassi, Francesco Sugiyama, Tomoyo Lee, Hang Crea, Filippo Kimura, Takeshi Fujimoto, James G Fuster, Valentin Jang, Ik‐Kyung Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes |
title | Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes |
title_full | Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes |
title_fullStr | Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes |
title_full_unstemmed | Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes |
title_short | Clinical and Laboratory Predictors for Plaque Erosion in Patients With Acute Coronary Syndromes |
title_sort | clinical and laboratory predictors for plaque erosion in patients with acute coronary syndromes |
url | https://hdl.handle.net/1721.1/128946 |
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