1. Circulating cell-free DNA level predicts all-cause mortality independent of other predictors in the Health 2000 survey
- Author
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Seppo Koskinen, Marja Jylhä, Mika Kähönen, Juulia Jylhävä, M Hurme, Sari Stenholm, Laura Kananen, Tommi Härkänen, Olavi Ukkola, Terho Lehtimäki, Tampere University, BioMediTech, Health Sciences, Department of Clinical Physiology and Nuclear Medicine, Clinical Medicine, and Department of Clinical Chemistry
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Male ,0301 basic medicine ,Molecular biology ,Population ,lcsh:Medicine ,Disease ,Article ,03 medical and health sciences ,Medical research ,0302 clinical medicine ,Predictive Value of Tests ,Cause of Death ,Humans ,Medicine ,lcsh:Science ,education ,Aged ,Cause of death ,education.field_of_study ,Multidisciplinary ,Adiponectin ,business.industry ,lcsh:R ,Hazard ratio ,Age Factors ,DNA ,Middle Aged ,Health Surveys ,Circulating Cell-Free DNA ,Confidence interval ,3. Good health ,3141 Health care science ,030104 developmental biology ,Risk factors ,Cardiovascular Diseases ,Predictive value of tests ,Female ,lcsh:Q ,3111 Biomedicine ,business ,Biomarkers ,030217 neurology & neurosurgery ,Demography - Abstract
Increased levels of circulating cell-free DNA (cf-DNA) are associated with and predict poor health outcomes. However, its predictive ability for mortality in population-based samples remains understudied. We analysed the capability of cf-DNA to predict all-cause mortality and assessed whether it adds predictive value on top of the other risk factors in the Health 2000 survey (n = 1,257, 46–76 years of age, 15-years-follow-up, 18% deceased). When analysed in a multivariate model with the other factors that independently predicted mortality in the sample (age, gender, self-rated health, smoking and plasma levels of glucose and adiponectin), increases in cf-DNA levels were associated with increased risk of mortality (hazard ratio [HR] for 0.1 µg increase in cf-DNA: 1.017, 95% confidence interval [CI] 1.008–1.026, p = 0.0003). Inclusion of cf-DNA in the model improved the model fit and discrimination. Stratifying the analysis by cardiovascular disease (CVD) status indicated that cf-DNA predicted mortality equally well in individuals with (HR 1.018, 95% CI 1.008–1.026, p = 0.002) and without (HR 1.018, 95% CI 1.001–1.035, p = 0.033) CVD. In conclusion, our study indicates that cf-DNA level predicts mortality in middle-aged and older individuals, also among those with established CVD, and adds significant value to mortality prediction. Our results thus underscore the role of cf-DNA as a viable marker of health.
- Published
- 2020
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