Literature DB >> 23597799

Prevalence, extent, and independent predictors of silent myocardial infarction.

Nisha Arenja1, Christian Mueller, Niklas F Ehl, Miriam Brinkert, Katharina Roost, Tobias Reichlin, Seoung Mann Sou, Thomas Hochgruber, Stefan Osswald, Michael J Zellweger.   

Abstract

BACKGROUND: The phenomenon of silent myocardial infarction is poorly understood.
METHODS: We aimed to evaluate the prevalence, extent, and independent predictors of silent myocardial infarction in 2 large independent cohorts of consecutive patients without a history of myocardial infarction referred for rest/stress myocardial perfusion single photon emission computed tomography. There were 1621 patients enrolled in the derivation cohort and 338 patients in the validation cohort. Silent myocardial infarction was diagnosed in patients with a myocardial scar ≥5% of the left ventricle.
RESULTS: In the derivation cohort, the prevalence of silent myocardial infarction was 23.3% (n = 377). The median infarct size was 10% (interquartile range [IQR] 5%-15%) of the left ventricle. The prevalence of silent myocardial infarction was 28.5% in diabetics and 21.5% in nondiabetics (P = .004). Diabetes mellitus was an independent predictor for the presence of silent myocardial infarction (odds ratio 1.5; 95% confidence interval, 1.1-1.9; P = .004). These findings were confirmed in the independent validation cohort. In the validation cohort, the prevalence of silent myocardial infarction was 26.3% (n = 89), while the prevalence was higher in diabetics (35.8%) than in nondiabetics (24%; P = .049). The median infarct size was 11.8% (IQR 5.9%-17.6%) of the left ventricle. Again, in logistic regression analysis, diabetes mellitus was a significant predictor of the presence of silent myocardial infarction.
CONCLUSION: Silent myocardial infarctions are more common than previously thought. One of 4 patients with suspected coronary artery disease had experienced a silent myocardial infarction; the extent in average is 10% of the left ventricle, and it is more common in diabetics.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23597799     DOI: 10.1016/j.amjmed.2012.11.028

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  21 in total

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2.  Gender-specific uncertainties in the diagnosis of acute coronary syndrome.

Authors:  Petra Hillinger; Raphael Twerenbold; Karin Wildi; Maria Rubini Gimenez; Cedric Jaeger; Jasper Boeddinghaus; Thomas Nestelberger; Karin Grimm; Tobias Reichlin; Fabio Stallone; Christian Puelacher; Zaid Sabti; Nikola Kozhuharov; Ursina Honegger; Paola Ballarino; Oscar Miro; Kris Denhaerynck; Temizel Ekrem; Claudia Kohler; Roland Bingisser; Stefan Osswald; Christian Mueller
Journal:  Clin Res Cardiol       Date:  2016-07-12       Impact factor: 5.460

3.  Ventricular Myocardial Fat: An Unexpected Biomarker for Long-term Survival?

Authors:  Anna S Bader; Jeffrey M Levsky; Benjamin A Zalta; Anna Shmukler; Arash Gohari; Vineet R Jain; Victoria Chernyak; Michael Lovihayeem; Eran Y Bellin; Linda B Haramati
Journal:  Eur Radiol       Date:  2018-06-14       Impact factor: 5.315

4.  The complex principle of cause and effect.

Authors:  Michael J Zellweger
Journal:  J Nucl Cardiol       Date:  2016-05-04       Impact factor: 5.952

5.  Quality of life as predictor for the development of cardiac ischemia in high-risk asymptomatic diabetic patients.

Authors:  Philip Haaf; Myriam Ritter; Leticia Grize; Matthias E Pfisterer; Michael J Zellweger
Journal:  J Nucl Cardiol       Date:  2017-01-13       Impact factor: 5.952

6.  Automatically computed ECG algorithm for the quantification of myocardial scar and the prediction of mortality.

Authors:  Patrick Badertscher; Ivo Strebel; Ursina Honegger; Nicolas Schaerli; Deborah Mueller; Christian Puelacher; Max Wagener; Roger Abächerli; Joan Walter; Zaid Sabti; Lorraine Sazgary; Stella Marbot; Jeanne du Fay de Lavallaz; Raphael Twerenbold; Jasper Boeddinghaus; Thomas Nestelberger; Nikola Kozhuharov; Tobias Breidthardt; Samyut Shrestha; Dayana Flores; Carmela Schumacher; Damian Wild; Stefan Osswald; Michael J Zellweger; Christian Mueller; Tobias Reichlin
Journal:  Clin Res Cardiol       Date:  2018-04-17       Impact factor: 5.460

Review 7.  Pathology of Human Coronary and Carotid Artery Atherosclerosis and Vascular Calcification in Diabetes Mellitus.

Authors:  Kazuyuki Yahagi; Frank D Kolodgie; Christoph Lutter; Hiroyoshi Mori; Maria E Romero; Aloke V Finn; Renu Virmani
Journal:  Arterioscler Thromb Vasc Biol       Date:  2016-12-01       Impact factor: 8.311

8.  Integrated cardiac magnetic resonance imaging with coronary magnetic resonance angiography, stress-perfusion, and delayed-enhancement imaging for the detection of occult coronary artery disease in asymptomatic individuals.

Authors:  Kyoung Doo Song; Sung Mok Kim; Yeon Hyeon Choe; Wooin Jung; Sang-Chol Lee; Sung-A Chang; Yoon Ho Choi; Jidong Sung
Journal:  Int J Cardiovasc Imaging       Date:  2015-04-28       Impact factor: 2.357

9.  Prognostic value of coronary CT angiography in diabetic patients: a 5-year follow up study.

Authors:  Jonathan Nadjiri; Jörg Hausleiter; Simon Deseive; Albrecht Will; Eva Hendrich; Stefan Martinoff; Martin Hadamitzky
Journal:  Int J Cardiovasc Imaging       Date:  2015-10-10       Impact factor: 2.357

10.  Abnormal Fasting Glucose Increases Risk of Unrecognized Myocardial Infarctions in an Elderly Cohort.

Authors:  Richard Brandon Stacey; Janice Zgibor; Paul E Leaverton; Douglas D Schocken; Jennifer A Peregoy; Mary F Lyles; Alain G Bertoni; Gregory L Burke
Journal:  J Am Geriatr Soc       Date:  2018-10-09       Impact factor: 5.562

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