Literature DB >> 29680345

Association Between Haptoglobin Phenotype and Microvascular Obstruction in Patients With STEMI: A Cardiac Magnetic Resonance Study.

Gianluca Pontone1, Daniele Andreini2, Andrea I Guaricci3, Marco Guglielmo4, Andrea Baggiano4, Giuseppe Muscogiuri4, Laura Fusini4, Fabio Fazzari5, Claudio Berzovini6, Annalisa Pasquini7, Saima Mushtaq4, Edoardo Conte4, Nicola Cosentino4, Mark G Rabbat8, Giancarlo Marenzi4, Antonio L Bartorelli9, Mauro Pepi4, Elena Tremoli4, Cristina Banfi4.   

Abstract

OBJECTIVES: This study aimed to evaluate the correlation between different haptoglobin (Hp) phenotypes and myocardial infarction characteristics as detected by cardiac magnetic resonance (CMR) in consecutive patients after ST-segment elevation myocardial infarction (STEMI).
BACKGROUND: Hp is a plasma protein that prevents iron-mediated oxidative tissue damage. CMR has emerged as the gold standard technique to detect left ventricular ejection fraction (LVEF), extent of scar with late gadolinium enhancement (LGE) technique, microvascular obstruction (MVO), and myocardial hemorrhage (MH) in patients with STEMI treated by primary percutaneous coronary intervention (pPCI).
METHODS: A total of 145 consecutive STEMI patients (mean age 62.2 ± 10.3 years; 78% men) were prospectively enrolled and underwent Hp phenotyping and CMR assessment within 1 week after STEMI.
RESULTS: CMR showed an area at risk (AAR) involving 26.6 ± 19.1% of left ventricular (LV) mass with a late LGE extent of 15.2 ± 13.1% of LV mass. MVO and MH occurred in 38 (26%) and 12 (8%) patients, respectively. Hp phenotypes 1-1, 2-1, 2-2 were observed in 15 (10%), 62 (43%), and 68 (47%), respectively. Multivariable analysis demonstrated that body mass index, Hp2-2, diabetes, and peak troponin I were independent predictors of MVO with Hp2-2 associated with the highest odds ratio (OR) (OR: 5.5 [95% confidence interval [CI]: 2.1 to 14.3; p < 0.001]). Hp2-2 significantly predicted both the presence (area under the curve [AUC]: 0.63 [95% CI: 0.53 to 0.72; p = 0.008]) and extent of MVO (AUC: 0.63 [95% CI: 0.54 to 0.72; p = 0.007]).
CONCLUSIONS: Hp phenotype is an independent predictor of MVO. Therefore, Hp phenotyping could be used for risk stratification and may be useful in assessing new therapies to reduce myocardial reperfusion injury in patients with STEMI.
Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiac magnetic resonance; haptoglobin; microvascular obstruction; myocardial infarction

Mesh:

Substances:

Year:  2018        PMID: 29680345     DOI: 10.1016/j.jcmg.2018.03.004

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  5 in total

1.  Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction.

Authors:  Yongjia Peng; Kongyang Wu; Yi Xiang J Wang; Jingshan Gong
Journal:  J Thorac Dis       Date:  2022-04       Impact factor: 3.005

Review 2.  The Applications of Artificial Intelligence in Cardiovascular Magnetic Resonance-A Comprehensive Review.

Authors:  Adriana Argentiero; Giuseppe Muscogiuri; Mark G Rabbat; Chiara Martini; Nicolò Soldato; Paolo Basile; Andrea Baggiano; Saima Mushtaq; Laura Fusini; Maria Elisabetta Mancini; Nicola Gaibazzi; Vincenzo Ezio Santobuono; Sandro Sironi; Gianluca Pontone; Andrea Igoren Guaricci
Journal:  J Clin Med       Date:  2022-05-19       Impact factor: 4.964

Review 3.  Prognostic Value and Therapeutic Perspectives of Coronary CT Angiography: A Literature Review.

Authors:  Patrizia Carità; Andrea Igoren Guaricci; Giuseppe Muscogiuri; Nazario Carrabba; Gianluca Pontone
Journal:  Biomed Res Int       Date:  2018-09-16       Impact factor: 3.411

4.  Index of microcirculatory resistance predicts long term cardiac systolic function in patients with STEMI undergoing primary PCI.

Authors:  Yu Qi; Rong Gu; Jiamin Xu; Lina Kang; Yihai Liu; Lian Wang; Jianzhou Chen; Jingmei Zhang; Kun Wang
Journal:  BMC Cardiovasc Disord       Date:  2021-02-02       Impact factor: 2.298

Review 5.  Multimodality Imaging of Sudden Cardiac Death and Acute Complications in Acute Coronary Syndrome.

Authors:  Giuseppe Muscogiuri; Andrea Igoren Guaricci; Nicola Soldato; Riccardo Cau; Luca Saba; Paola Siena; Maria Grazia Tarsitano; Elisa Giannetta; Davide Sala; Paolo Sganzerla; Marco Gatti; Riccardo Faletti; Alberto Senatieri; Gregorio Chierchia; Gianluca Pontone; Paolo Marra; Mark G Rabbat; Sandro Sironi
Journal:  J Clin Med       Date:  2022-09-26       Impact factor: 4.964

  5 in total

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