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Link to original content: https://pubmed.ncbi.nlm.nih.gov/28674420
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. 2017 Jul 3;7(1):4511.
doi: 10.1038/s41598-017-04040-w.

Improved risk stratification in prevention by use of a panel of selected circulating microRNAs

Till Keller  1   2   3 , Jes-Niels Boeckel  4   5   6 , Stefan Groß  5   7 , Jens Klotsche  8 , Lars Palapies  4 , David Leistner  4   9 , Lars Pieper  8 , Günnter K Stalla  10 , Hendrik Lehnert  11 , Sigmund Silber  12 , David Pittrow  13 , Winfried Maerz  14 , Marcus Dörr  15   7 , Hans-Ulrich Wittchen  8 , Sebastian E Baumeister  16   17 , Uwe Völker  18   7 , Stephan B Felix  15   7 , Stefanie Dimmeler  5   6 , Andreas M Zeiher  4   5
Affiliations

Improved risk stratification in prevention by use of a panel of selected circulating microRNAs

Till Keller et al. Sci Rep. .

Abstract

Risk stratification is crucial in prevention. Circulating microRNAs have been proposed as biomarkers in cardiovascular disease. Here a miR panel consisting of miRs related to different cardiovascular pathophysiologies, was evaluated to predict outcome in the context of prevention. MiR-34a, miR-223, miR-378, miR-499 and miR-133 were determined from peripheral blood by qPCR and combined to a risk panel. As derivation cohort, 178 individuals of the DETECT study, and as validation cohort, 129 individuals of the SHIP study were used in a case-control approach. Overall mortality and cardiovascular events were outcome measures. The Framingham Risk Score(FRS) and the SCORE system were applied as risk classification systems. The identified miR panel was significantly associated with mortality given by a hazard ratio(HR) of 3.0 (95% (CI): 1.09-8.43; p = 0.034) and of 2.9 (95% CI: 1.32-6.33; p = 0.008) after adjusting for the FRS in the derivation cohort. In a validation cohort the miR-panel had a HR of 1.31 (95% CI: 1.03-1.66; p = 0.03) and of 1.29 (95% CI: 1.02-1.64; p = 0.03) in a FRS/SCORE adjusted-model. A FRS/SCORE risk model was significantly improved to predict mortality by the miR panel with continuous net reclassification index of 0.42/0.49 (p = 0.014/0.005). The present miR panel of 5 circulating miRs is able to improve risk stratification in prevention with respect to mortality beyond the FRS or SCORE.

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Conflict of interest statement

The authors declare that they have no Competing Interests.

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References

    1. Finegold JA, Asaria P, Francis DP. Mortality from ischaemic heart disease by country, region, and age: statistics from World Health Organisation and United Nations. Int. J. Cardiol. 2013;168:934–45. doi: 10.1016/j.ijcard.2012.10.046. - DOI - PMC - PubMed
    1. World Population Prospects: The 2012 Revision (2014).
    1. Ridker PM, et al. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N. Engl. J. Med. 2008;359:2195–207. doi: 10.1056/NEJMoa0807646. - DOI - PubMed
    1. Ohsfeldt RL, Olsson AG, Jensen MM, Gandhi SK, Paulsson T. Cost-effectiveness of rosuvastatin 20 mg for the prevention of cardiovascular morbidity and mortality: a Swedish economic evaluation of the JUPITER trial. J. Med. Econ. 2012;15:125–33. doi: 10.3111/13696998.2011.627073. - DOI - PubMed
    1. Chamnan P, et al. A simple risk score using routine data for predicting cardiovascular disease in primary care. Br. J. Gen. Pract. 2010;60:e327–34. doi: 10.3399/bjgp10X515098. - DOI - PMC - PubMed

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