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Serum markers of biological ageing provide long-term prediction of life expectancy-a longitudinal analysis in middle-aged and older German adults.
Srour, Bernard; Hynes, Lucas Cory; Johnson, Theron; Kühn, Tilman; Katzke, Verena A; Kaaks, Rudolf.
Affiliation
  • Srour B; Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany.
  • Hynes LC; Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany.
  • Johnson T; Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany.
  • Kühn T; Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany.
  • Katzke VA; Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland.
  • Kaaks R; Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany.
Age Ageing ; 51(2)2022 02 02.
Article in En | MEDLINE | ID: mdl-35150586
ABSTRACT

BACKGROUND:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aging / Life Expectancy Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Age Ageing Year: 2022 Document type: Article Affiliation country: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aging / Life Expectancy Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Age Ageing Year: 2022 Document type: Article Affiliation country: Alemania