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@ARTICLE{Srour:178822,
author = {B. Srour$^*$ and L. C. Hynes$^*$ and T. Johnson$^*$ and T.
Kühn$^*$ and V. A. Katzke$^*$ and R. Kaaks$^*$},
title = {{S}erum markers of biological ageing provide long-term
prediction of life expectancy-a longitudinal analysis in
middle-aged and older {G}erman adults.},
journal = {Age $\&$ ageing},
volume = {51},
number = {2},
issn = {0002-0729},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {DKFZ-2022-00286},
pages = {afab271},
year = {2022},
note = {#EA:C020#LA:C020#},
abstract = {lifestyle behaviours and chronic co-morbidities are leading
risk factors for premature mortality and collectively
predict wide variability in individual life expectancy (LE).
We investigated whether a pre-selected panel of five serum
markers of biological ageing could improve predicting the
long-term mortality risk and LE in middle-aged and older
women and men.we conducted a case-cohort study (n = 5,789
among which there were 2,571 deaths) within the European
Prospective Investigation into Cancer-Heidelberg cohort, a
population cohort of middle-aged and older individuals,
followed over a median duration of 18 years. Gompertz
models were used to compute multi-adjusted associations of
growth differentiation factor-15, N-terminal pro-brain
natriuretic peptide, glycated haemoglobin A1c, C-reactive
protein and cystatin-C with mortality risk. Areas under
estimated Gompertz survival curves were used to estimate the
LE of individuals using a model with lifestyle-related risk
factors only (smoking history, body mass index, waist
circumference, alcohol, physical inactivity, diabetes and
hypertension), or with lifestyle factors plus the
ageing-related markers.a model including only
lifestyle-related factors predicted a LE difference of 16.8
$[95\%$ confidence interval: 15.9; 19.1] years in men and
9.87 [9.20; 13.1] years in women aged ≥60 years by
comparing individuals in the highest versus the lowest
quintiles of estimated mortality risk. Including the
ageing-related biomarkers in the model increased these
differences up to 22.7 [22.3; 26.9] years in men and 14.00
[12.9; 18.2] years in women.serum markers of ageing are
potentially strong predictors for long-term mortality risk
in a general population sample of older and middle-aged
individuals and may help to identify individuals at higher
risk of premature death, who could benefit from
interventions to prevent further ageing-related health
declines.},
keywords = {ageing biomarkers (Other) / biological ageing (Other) /
life expectancy (Other) / lifestyle factors (Other) /
prevention older people (Other)},
cin = {C020},
ddc = {610},
cid = {I:(DE-He78)C020-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35150586},
doi = {10.1093/ageing/afab271},
url = {https://inrepo02.dkfz.de/record/178822},
}