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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},
}