Literature DB >> 26348232

Prediction of Reverse Remodeling at Cardiac MR Imaging Soon after First ST-Segment-Elevation Myocardial Infarction: Results of a Large Prospective Registry.

Vicente Bodi1, Jose V Monmeneu1, Jose T Ortiz-Perez1, Maria P Lopez-Lereu1, Clara Bonanad1, Oliver Husser1, Gemma Minana1, Cristina Gomez1, Julio Nunez1, Maria J Forteza1, Arantxa Hervas1, Elena de Dios1, David Moratal1, Xavier Bosch1, Francisco J Chorro1.   

Abstract

PURPOSE: To assess predictors of reverse remodeling by using cardiac magnetic resonance (MR) imaging soon after ST-segment-elevation myocardial infarction (STEMI).
MATERIALS AND METHODS: Written informed consent was obtained from all patients, and the study protocol was approved by the institutional committee on human research, ensuring that it conformed to the ethical guidelines of the 1975 Declaration of Helsinki. Five hundred seven patients (mean age, 58 years; age range, 24-89 years) with a first STEMI were prospectively studied. Infarct size and microvascular obstruction (MVO) were quantified at late gadolinium-enhanced imaging. Reverse remodeling was defined as a decrease in left ventricular (LV) end-systolic volume index (LVESVI) of more than 10% from 1 week to 6 months after STEMI. For statistical analysis, a simple (from a clinical perspective) multiple regression model preanalyzing infarct size and MVO were applied via univariate receiver operating characteristic techniques.
RESULTS: Patients with reverse remodeling (n = 211, 42%) had a lesser extent (percentage of LV mass) of 1-week infarct size (mean ± standard deviation: 18% ± 13 vs 23% ± 14) and MVO (median, 0% vs 0%; interquartile range, 0%-1% vs 0%-4%) than those without reverse remodeling (n = 296, 58%) (P < .001 in pairwise comparisons). The independent predictors of reverse remodeling were infarct size (odds ratio, 0.98; 95% confidence interval [CI]: 0.97, 0.99; P = .04) and MVO (odds ratio, 0.92; 95% CI: 0.86, 0.99; P = .03). Once infarct size and MVO were dichotomized by using univariate receiver operating characteristic techniques, the only independent predictor of reverse remodeling was the presence of simultaneous nonextensive infarct-size MVO (infarct size < 30% of LV mass and MVO < 2.5% of LV mass) (odds ratio, 3.2; 95% CI: 1.8, 5.7; P < .001).
CONCLUSION: Assessment of infarct size and MVO with cardiac MR imaging soon after STEMI enables one to make a decision in the prediction of reverse remodeling. © RSNA, 2015

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Year:  2015        PMID: 26348232     DOI: 10.1148/radiol.2015142674

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  14 in total

1.  Cardiac magnetic resonance-tissue tracking for the early prediction of adverse left ventricular remodeling after ST-segment elevation myocardial infarction.

Authors:  Min Jae Cha; Jeong Hyun Lee; Hye Na Jung; Yiseul Kim; Yeon Hyeon Choe; Sung Mok Kim
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-03       Impact factor: 2.357

2.  Evaluation of myocardial viability in myocardial infarction patients by magnetic resonance perfusion and delayed enhancement imaging.

Authors:  W Sun; L Sun; F Yang; X Zhao; R Cai; W Yuan
Journal:  Herz       Date:  2018-10-15       Impact factor: 1.443

3.  Predictors of left ventricular remodeling after ST-elevation myocardial infarction.

Authors:  Tom Hendriks; Minke H T Hartman; Pieter J J Vlaar; Niek H J Prakken; Yldau M Y van der Ende; Chris P H Lexis; Dirk J van Veldhuisen; Iwan C C van der Horst; Erik Lipsic; Robin Nijveldt; Pim van der Harst
Journal:  Int J Cardiovasc Imaging       Date:  2017-04-07       Impact factor: 2.357

4.  Early Speckle-tracking Echocardiography Predicts Left Ventricle Remodeling after Acute ST-segment Elevation Myocardial Infarction.

Authors:  Donato Mele; Marianna Nardozza; Elisabetta Chiodi
Journal:  J Cardiovasc Echogr       Date:  2017 Jul-Sep

5.  Relation between high levels of myeloperoxidase in the culprit artery and microvascular obstruction, infarct size and reverse remodeling in ST-elevation myocardial infarction.

Authors:  Karim Stamboul; Marianne Zeller; Luc Rochette; Yves Cottin; Alexandre Cochet; Thibault Leclercq; Guillaume Porot; Charles Guenancia; Marie Fichot; Nicolas Maillot; Catherine Vergely; Luc Lorgis
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

6.  Defining left ventricular remodeling following acute ST-segment elevation myocardial infarction using cardiovascular magnetic resonance.

Authors:  Heerajnarain Bulluck; Yun Yun Go; Gabriele Crimi; Andrew J Ludman; Stefania Rosmini; Amna Abdel-Gadir; Anish N Bhuva; Thomas A Treibel; Marianna Fontana; Silvia Pica; Claudia Raineri; Alex Sirker; Anna S Herrey; Charlotte Manisty; Ashley Groves; James C Moon; Derek J Hausenloy
Journal:  J Cardiovasc Magn Reson       Date:  2017-03-13       Impact factor: 5.364

7.  Cardiac remodeling following reperfused acute myocardial infarction is linked to the concomitant evolution of vascular function as assessed by cardiovascular magnetic resonance.

Authors:  Olivier Huttin; Damien Mandry; Romain Eschalier; Lin Zhang; Emilien Micard; Freddy Odille; Marine Beaumont; Renaud Fay; Jacques Felblinger; Edoardo Camenzind; Faïez Zannad; Nicolas Girerd; Pierre Y Marie
Journal:  J Cardiovasc Magn Reson       Date:  2017-01-04       Impact factor: 5.364

Review 8.  Role of Cardiac Magnetic Resonance to Improve Risk Prediction Following Acute ST-Elevation Myocardial Infarction.

Authors:  Martin Reindl; Ingo Eitel; Sebastian Johannes Reinstadler
Journal:  J Clin Med       Date:  2020-04-07       Impact factor: 4.241

9.  Dynamics and implications of circulating anti-angiogenic VEGF-A165b isoform in patients with ST-elevation myocardial infarction.

Authors:  Luisa Hueso; Cesar Rios-Navarro; Amparo Ruiz-Sauri; Francisco Javier Chorro; Julio Nunez; Maria Jesus Sanz; Vicente Bodi; Laura Piqueras
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

10.  Characterization and implications of the dynamics of eosinophils in blood and in the infarcted myocardium after coronary reperfusion.

Authors:  Cesar Rios-Navarro; Jose Gavara; Veronica Vidal; Clara Bonanad; Paolo Racugno; Antoni Bayes-Genis; Gema Miñana; Oliver Husser; Ricardo Oltra; Julio Nuñez; Francisco J Chorro; Vicente Bodi; Amparo Ruiz-Sauri
Journal:  PLoS One       Date:  2018-10-26       Impact factor: 3.240

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