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CT biological age

Biomarker

1 paper studies it2 findings

  • Humans1

Associations

2

Longevity

upin humans1

1 study

  1. CT biological age predicts longevity in humans (10-year AUC = 0.880 vs. 0.779; p < 0.001).

    “The CT model significantly outperforms standard demographic data for predicting longevity (IPA = 29.2 vs. 21.7; 10-year AUC = 0.880 vs. 0.779; p < 0.001).”

    Humansmedian follow-up, 5.3 yearsn = 123,281

    Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity

    Nature communications

Mortality

upin humans1HR 8.73

1 study

  1. CT biological age predicts mortality in humans (HR 8.73 (95% CI, 8.14-9.36)).

    “Age- and sex-corrected survival hazard ratio for the highest-vs-lowest risk quartile was 8.73 (95% CI,8.14-9.36) for the CT biological age model”

    Humansmedian follow-up, 5.3 yearsn = 123,281

    Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity

    Nature communications

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