Is cardiac magnetic resonance necessary for prediction of left ventricular remodeling in patients with reperfused ST-segment elevation myocardial infarction?
As cardiac magnetic resonance imaging (CMR) has become widely used for evaluation of myocardial viability after acute myocardial infarction, the additional value of CMR parameters for prediction of left ventricle (LV) remodeling has been receiving interest. The aim of the study was to investigate th...
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Published in | The International Journal of Cardiovascular Imaging Vol. 33; no. 12; pp. 2003 - 2012 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Dordrecht
Springer Netherlands
01.12.2017
Springer Nature B.V |
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Abstract | As cardiac magnetic resonance imaging (CMR) has become widely used for evaluation of myocardial viability after acute myocardial infarction, the additional value of CMR parameters for prediction of left ventricle (LV) remodeling has been receiving interest. The aim of the study was to investigate the additional predictive value of CMR parameters for LV remodeling after successful reperfusion of ST-segment elevation myocardial infarction (STEMI) using multiple predictive models. LV remodeling was defined as ≥20% increase in end-diastolic volume at 6 month follow-up echocardiography. Using multiple stepwise regression analysis, conventional risk model was classified as following; model 1 (clinical factors), model 2 (model 1 + angiographic factors), model 3 (model 2 + echocardiographic factors) and CMR-added model; model 4 (model 3 + CMR factors). Among 262 enrolled patients, 25.1% showed LV remodeling. There were significant increments of c-statistics from the predictive model 1 to model 3 (AUC; 0.675 [0.60–0.75], 0.708 [0.64–0.78], 0.756 [0.69–0.82], respectively. all p < 0.05). However, model 4, which added the CMR variables, did not show any increase in predictive value compared with model 3 (AUC; 0.763 [0.70–0.83] versus 0.756 [0.69–0.82], p = 0.11). During the 28.2 months of median follow up, the incidence of hospitalization for heart failure was significantly higher in the patients with LV remodeling (6.1% vs. 0.5%, p = 0.02). CMR parameters did not provide incremental predictive value above the assessment by conventional echocardiography-based risk model in patients with STEMI. |
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AbstractList | As cardiac magnetic resonance imaging (CMR) has become widely used for evaluation of myocardial viability after acute myocardial infarction, the additional value of CMR parameters for prediction of left ventricle (LV) remodeling has been receiving interest. The aim of the study was to investigate the additional predictive value of CMR parameters for LV remodeling after successful reperfusion of ST-segment elevation myocardial infarction (STEMI) using multiple predictive models. LV remodeling was defined as ≥20% increase in end-diastolic volume at 6 month follow-up echocardiography. Using multiple stepwise regression analysis, conventional risk model was classified as following; model 1 (clinical factors), model 2 (model 1 + angiographic factors), model 3 (model 2 + echocardiographic factors) and CMR-added model; model 4 (model 3 + CMR factors). Among 262 enrolled patients, 25.1% showed LV remodeling. There were significant increments of c-statistics from the predictive model 1 to model 3 (AUC; 0.675 [0.60-0.75], 0.708 [0.64-0.78], 0.756 [0.69-0.82], respectively. all p < 0.05). However, model 4, which added the CMR variables, did not show any increase in predictive value compared with model 3 (AUC; 0.763 [0.70-0.83] versus 0.756 [0.69-0.82], p = 0.11). During the 28.2 months of median follow up, the incidence of hospitalization for heart failure was significantly higher in the patients with LV remodeling (6.1% vs. 0.5%, p = 0.02). CMR parameters did not provide incremental predictive value above the assessment by conventional echocardiography-based risk model in patients with STEMI. As cardiac magnetic resonance imaging (CMR) has become widely used for evaluation of myocardial viability after acute myocardial infarction, the additional value of CMR parameters for prediction of left ventricle (LV) remodeling has been receiving interest. The aim of the study was to investigate the additional predictive value of CMR parameters for LV remodeling after successful reperfusion of ST-segment elevation myocardial infarction (STEMI) using multiple predictive models. LV remodeling was defined as ≥20% increase in end-diastolic volume at 6 month follow-up echocardiography. Using multiple stepwise regression analysis, conventional risk model was classified as following; model 1 (clinical factors), model 2 (model 1 + angiographic factors), model 3 (model 2 + echocardiographic factors) and CMR-added model; model 4 (model 3 + CMR factors). Among 262 enrolled patients, 25.1% showed LV remodeling. There were significant increments of c-statistics from the predictive model 1 to model 3 (AUC; 0.675 [0.60–0.75], 0.708 [0.64–0.78], 0.756 [0.69–0.82], respectively. all p < 0.05). However, model 4, which added the CMR variables, did not show any increase in predictive value compared with model 3 (AUC; 0.763 [0.70–0.83] versus 0.756 [0.69–0.82], p = 0.11). During the 28.2 months of median follow up, the incidence of hospitalization for heart failure was significantly higher in the patients with LV remodeling (6.1% vs. 0.5%, p = 0.02). CMR parameters did not provide incremental predictive value above the assessment by conventional echocardiography-based risk model in patients with STEMI. As cardiac magnetic resonance imaging (CMR) has become widely used for evaluation of myocardial viability after acute myocardial infarction, the additional value of CMR parameters for prediction of left ventricle (LV) remodeling has been receiving interest. The aim of the study was to investigate the additional predictive value of CMR parameters for LV remodeling after successful reperfusion of ST-segment elevation myocardial infarction (STEMI) using multiple predictive models. LV remodeling was defined as ≥20% increase in end-diastolic volume at 6 month follow-up echocardiography. Using multiple stepwise regression analysis, conventional risk model was classified as following; model 1 (clinical factors), model 2 (model 1 + angiographic factors), model 3 (model 2 + echocardiographic factors) and CMR-added model; model 4 (model 3 + CMR factors). Among 262 enrolled patients, 25.1% showed LV remodeling. There were significant increments of c-statistics from the predictive model 1 to model 3 (AUC; 0.675 [0.60–0.75], 0.708 [0.64–0.78], 0.756 [0.69–0.82], respectively. all p < 0.05). However, model 4, which added the CMR variables, did not show any increase in predictive value compared with model 3 (AUC; 0.763 [0.70–0.83] versus 0.756 [0.69–0.82], p = 0.11). During the 28.2 months of median follow up, the incidence of hospitalization for heart failure was significantly higher in the patients with LV remodeling (6.1% vs. 0.5%, p = 0.02). CMR parameters did not provide incremental predictive value above the assessment by conventional echocardiography-based risk model in patients with STEMI. |
Author | Choe, Yeon Hyeon Lee, Sang-Chol Carriere, Keumhee Park, Sung-Ji Kim, Eun Kyoung Chang, Sung-A Park, Seung-Woo Song, Young Bin Choi, Jin-Ho Gwon, Hyeon-Cheol Choi, Seung Hyuk Hahn, Joo-Yong Ahn, Joonghyun |
Author_xml | – sequence: 1 givenname: Eun Kyoung surname: Kim fullname: Kim, Eun Kyoung organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 2 givenname: Young Bin surname: Song fullname: Song, Young Bin organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 3 givenname: Sung-A surname: Chang fullname: Chang, Sung-A organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 4 givenname: Sung-Ji surname: Park fullname: Park, Sung-Ji organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 5 givenname: Joo-Yong surname: Hahn fullname: Hahn, Joo-Yong organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 6 givenname: Seung Hyuk surname: Choi fullname: Choi, Seung Hyuk organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 7 givenname: Jin-Ho surname: Choi fullname: Choi, Jin-Ho organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 8 givenname: Hyeon-Cheol surname: Gwon fullname: Gwon, Hyeon-Cheol organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 9 givenname: Seung-Woo surname: Park fullname: Park, Seung-Woo organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 10 givenname: Yeon Hyeon surname: Choe fullname: Choe, Yeon Hyeon organization: Department of Radiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine – sequence: 11 givenname: Joonghyun surname: Ahn fullname: Ahn, Joonghyun organization: Statistics and Data Center, Samsung Medical Center – sequence: 12 givenname: Keumhee surname: Carriere fullname: Carriere, Keumhee organization: Statistics and Data Center, Samsung Medical Center, Department of Mathematical and Statistical Sciences, University of Alberta – sequence: 13 givenname: Sang-Chol surname: Lee fullname: Lee, Sang-Chol email: sc.lea@samsung.com organization: Division of Cardiology, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine |
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Keywords | Coronary angiography Ventricular remodeling Echocardiography ST-segment elevation myocardial infarction Cardiac magnetic resonance |
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SubjectTerms | Aged Area Under Curve Cardiac Imaging Cardiology Chi-Square Distribution Coronary Angiography Echocardiography Electrocardiography Female Heart Heart attacks Heart diseases Heart Failure - mortality Heart Failure - physiopathology Humans Imaging Kaplan-Meier Estimate Logistic Models Magnetic resonance imaging Magnetic Resonance Imaging, Cine Male Medicine Medicine & Public Health Middle Aged Multivariate Analysis Myocardial infarction Original Paper Patients Percutaneous Coronary Intervention - adverse effects Percutaneous Coronary Intervention - mortality Prediction models Predictive Value of Tests Radiology Recovery of Function Recurrence Regression analysis Regression models Reperfusion Resonance Risk analysis Risk Assessment Risk Factors ROC Curve ST Elevation Myocardial Infarction - diagnostic imaging ST Elevation Myocardial Infarction - mortality ST Elevation Myocardial Infarction - physiopathology ST Elevation Myocardial Infarction - therapy Statistical analysis Time Factors Treatment Outcome Ultrasonic imaging Ventricle Ventricular Function, Left Ventricular Remodeling Viability |
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Title | Is cardiac magnetic resonance necessary for prediction of left ventricular remodeling in patients with reperfused ST-segment elevation myocardial infarction? |
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