Clinically significant novel biomarkers for prediction of first ever myocardial infarction: The Tromsø Study
Journal article
Wilsgaard, Tom, Mathiesen, Ellisiv Bøgeberg, Patwardhan, Anil, Rowe, Michael W., Schirmer, Henrik, Løchen, Maja-Lisa, Sudduth-Klinger, Julie, Hamren, Sarah, Bønaa, Kaare Harald and Njølstad, Inger. (2015). Clinically significant novel biomarkers for prediction of first ever myocardial infarction: The Tromsø Study. Circulation: Cardiovascular Genetics. 8(2), pp. 363 - 371. https://doi.org/10.1161/CIRCGENETICS.113.000630
Authors | Wilsgaard, Tom, Mathiesen, Ellisiv Bøgeberg, Patwardhan, Anil, Rowe, Michael W., Schirmer, Henrik, Løchen, Maja-Lisa, Sudduth-Klinger, Julie, Hamren, Sarah, Bønaa, Kaare Harald and Njølstad, Inger |
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Abstract | Background: Identification of individuals with high risk for first-ever myocardial infarction ( MI ) can be improved. The objectives of the study were to survey multiple protein biomarkers for association with the 10-year risk of incident MI and identify a clinically significant risk model that adds information to current common risk models. Methods and Results: We used an immunoassay platform that uses a sensitive, sample-efficient molecular counting technology to measure 51 proteins in samples from the fourth survey ( 1994 ) in the Tromsø Study, a longitudinal study of men and women in Tromsø, Norway. A case control design was used with 419 first-ever MI cases ( 169 females/250 males ) and 398 controls ( 244 females/154 males ). Of the proteins measured, 17 were predictors of MI when considered individually after adjustment for traditional risk factors either in men, women, or both. The 6 biomarkers adjusted for traditional risk factors that were selected in a multivariable model ( odds ratios [OR] per standard deviation ) using a stepwise procedure were apolipoprotein B/apolipoprotein A1 ratio ( 1.40 ), kallikrein ( 0.73 ), lipoprotein a ( 1.29 ), matrix metalloproteinase 9 ( 1.30 ), the interaction term IP-10/CXCL10×women ( 0.69 ), and the interaction term thrombospondin 4×men ( 1.38 ). The composite risk of these biomarkers added significantly to the traditional risk factor model with a net reclassification improvement of 14% ( P=0.0002 ), whereas the receiver operating characteristic area increased from 0.757 to 0.791, P=0.0004. Conclusions: Novel protein biomarker models improve identification of 10-year MI risk above and beyond traditional risk factors with 14% better allocation to either high or low risk group. |
Keywords | biomarker; cardiovascular disease; epidemiology; follow-up study; myocardial infarction |
Year | 2015 |
Journal | Circulation: Cardiovascular Genetics |
Journal citation | 8 (2), pp. 363 - 371 |
Publisher | Lippincott Williams & Wilkins |
ISSN | 1942-3268 |
Digital Object Identifier (DOI) | https://doi.org/10.1161/CIRCGENETICS.113.000630 |
Scopus EID | 2-s2.0-84942918688 |
Open access | Open access |
Page range | 363 - 371 |
Research Group | Mary MacKillop Institute for Health Research |
Publisher's version | |
Place of publication | United States |
https://acuresearchbank.acu.edu.au/item/85136/clinically-significant-novel-biomarkers-for-prediction-of-first-ever-myocardial-infarction-the-troms-study
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