Abstract
Background-Oxidative stress has been suggested to play a key role in the development of cardiovascular disease (CVD). The aim of our study was to investigate the associations of serum peroxiredoxin 4 (Prx4), a hydrogen peroxide-degrading peroxidase, with incident CVD and all-cause mortality. We subsequently examined the incremental value of Prx4 for the risk prediction of CVD compared with the Framingham risk score (FRS).
Methods and Results-We performed Cox regression analyses in 8141 participants without history of CVD (aged 28 to 75 years; women 52.6%) from the Prevention of Renal and Vascular End-stage Disease (PREVEND) study in Groningen, The Netherlands. Serum Prx4 was measured by an immunoluminometric assay in baseline samples. Main outcomes were: (1) incident CVD events or CVD mortality and (2) all-cause mortality during a median follow-up of 10.5 years. In total, 708 participants (7.8%) developed CVD events or CVD mortality, and 517 participants (6.3%) died. Baseline serum Prx4 levels were significantly higher in participants with incident CVD events or CVD mortality and in those who died than in participants who remained free of outcomes (both P
Conclusions-Elevated serum Prx4 levels are associated with a significantly higher risk of incident CVD events or CVD mortality and all-cause mortality after adjustment for clinical risk factors. The addition of Prx4 to the FRS marginally improved risk prediction of future CVD.
Original language | English |
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Article number | e002956 |
Number of pages | 12 |
Journal | Journal of the American Heart Association |
Volume | 1 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct-2012 |
Keywords
- cardiovascular disease
- epidemiology
- mortality
- oxidative stress
- peroxiredoxin 4
- CORONARY-HEART-DISEASE
- C-REACTIVE PROTEIN
- PROTEOMIC ANALYSIS
- METABOLIC SYNDROME
- PREDICTION
- IMPUTATION
- IV
- ASSOCIATION
- PERFORMANCE
- ACTIVATION
Datasets
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Prevention of Renal and Vascular End-stage Disease (PREVEND)
Gansevoort, R. (Creator), University of Groningen, 2017
Dataset