Literature DB >> 23411105

Impact of family history of coronary artery disease in young individuals (from the CONFIRM registry).

Yuka Otaki1, Heidi Gransar, Daniel S Berman, Victor Y Cheng, Damini Dey, Fay Y Lin, Stephan Achenbach, Mouaz Al-Mallah, Matthew J Budoff, Filippo Cademartiri, Tracy Q Callister, Hyuk-Jae Chang, Kavitha Chinnaiyan, Benjamin J W Chow, Augustin Delago, Martin Hadamitzky, Joerg Hausleiter, Philipp Kaufmann, Erica Maffei, Gilbert Raff, Leslee J Shaw, Todd C Villines, Allison Dunning, James K Min.   

Abstract

Although family history (FH) of coronary artery disease (CAD) is considered a risk factor for future cardiovascular events, the prevalence, extent, severity, and prognosis of young patients with FH of CAD have been inadequately studied. From 27,125 consecutive patients who underwent coronary computed tomographic angiography, 6,308 young patients (men aged <55 years and women aged <65 years) without known CAD were identified. Obstructive CAD was defined as >50% stenosis in a coronary artery >2 mm diameter. Risk-adjusted logistic regression, Kaplan-Meier, and Cox proportional-hazards models were used to compare patients with and without FH of CAD. Compared with subjects without FH of CAD, those with FH of CAD (FH+) had higher prevalences of any CAD (40% vs 30%, p <0.001) and obstructive CAD (11% vs 7%, p <0.001), with multivariate odds of FH+ increasing the likelihood of obstructive CAD by 71% (p <0.001). After a mean follow-up period of 2 ± 1 years (42 myocardial infarctions and 39 all-cause deaths), FH+ patients experienced higher annual rates of myocardial infarction (0.5% vs 0.2%, log-rank p = 0.001), with a positive FH the strongest predictor of myocardial infarction (hazard ratio 2.6, 95% confidence interval 1.4 to 4.8, p = 0.002). In conclusion, young FH+ patients have higher presence, extent, and severity of CAD, which are associated with increased risk for myocardial infarction. Compared with other clinical CAD risk factors, positive FH in young patients is the strongest clinical predictor of future unheralded myocardial infarction.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23411105     DOI: 10.1016/j.amjcard.2012.12.042

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 in total

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Authors:  Kanimozhi Sadasivam; Poornima Nagarajan; Indira Durai; Meenakshi Sundari; Saravanan Ayyavoo; Thilagavathi Ramamoorthy
Journal:  J Clin Diagn Res       Date:  2015-09-01

2.  Carotid thin fluttering bands: A new element of arterial wall remodelling? An ultrasound study.

Authors:  Luca Costanzo; Andrea Sole; Corrado Tamburino; Luigi Di Pino
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-16       Impact factor: 2.357

Review 3.  Genetic Risk Prediction for Primary and Secondary Prevention of Atherosclerotic Cardiovascular Disease: an Update.

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Authors:  Buchuan Tan; Long Liu; Yushuang Yang; Qian Liu; Liping Yang; Fanbo Meng
Journal:  Cardiol J       Date:  2018-01-03       Impact factor: 2.737

Review 5.  Noninvasive imaging in coronary artery disease.

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Journal:  Semin Nucl Med       Date:  2014-09       Impact factor: 4.446

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Review 7.  Platelets miRNA as a Prediction Marker of Thrombotic Episodes.

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Authors:  Amitesh Aggarwal; Saurabh Srivastava; M Velmurugan
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9.  A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study.

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Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

10.  A study of risk factors and complications in elderly hypertensive subjects.

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Journal:  J Family Med Prim Care       Date:  2021-07-02
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