Skip to main content
    Longevity Hackers

    My Bortz Age: 19.49 years

    How my blood panel translates into a biological age of roughly 19.49 years – including every value used and every limitation.

    Result at a glance

    The basis is my blood panel from 19 September 2025. My chronological age at that point was 34.57 years. 21 of the 25 biomarkers in the Bortz model produce an estimated Bortz Age of 19.49 years.

    Chronological age
    34.57 years
    Bortz Age
    19.49 years
    Biological Age Acceleration (BAA)
    βˆ’15.08 years
    Markers used
    21 of 25

    That works out to roughly 15 years and 1 month below my chronological age. This is a model-based estimate – not a diagnosis, not proof of actual physical condition and no guarantee of a longer life expectancy.

    The blood values I used

    All values come from a single lab appointment on 19 September 2025 and are given in the unit the model calculates with.

    • Albumin

      46.00 g/L

      Contribution: βˆ’0.10 years

    • Alkaline phosphatase

      92.00 U/L

      Contribution: +0.15 years

    • Urea

      4.70 mmol/L

      Contribution: +0.19 years

    • Total cholesterol

      5.39 mmol/L

      Contribution: +0.18 years

    • Creatinine

      87.00 Β΅mol/L

      Contribution: βˆ’1.69 years

    • Cystatin C

      0.87 mg/L

      Contribution: βˆ’0.58 years

    • HbA1c

      27.85 mmol/mol

      Contribution: βˆ’1.38 years

    • CRP / hs-CRP

      0.60 mg/L

      Contribution: βˆ’0.64 years

    • Gamma-GT

      23.00 U/L

      Contribution: βˆ’0.65 years

    • Red blood cells

      5.69 Γ—10ΒΉΒ²/L

      Contribution: βˆ’2.43 years

    • MCV

      84.00 fL

      Contribution: βˆ’1.36 years

    • RDW-CV

      11.20 %

      Contribution: βˆ’4.51 years

    • Monocytes

      0.43 Γ—10⁹/L

      Contribution: βˆ’0.17 years

    • Neutrophils

      2.00 Γ—10⁹/L

      Contribution: βˆ’1.46 years

    • Lymphocytes

      42.00 %

      Contribution: βˆ’1.45 years

    • ALT / GPT

      30.00 U/L

      Contribution: βˆ’1.01 years

    • SHBG

      46.50 nmol/L

      Contribution: +0.06 years

    • Vitamin D 25(OH)D

      108.33 nmol/L

      Contribution: βˆ’2.87 years

    • Glucose

      5.30 mmol/L

      Contribution: +0.11 years

    • MCH

      28.80 pg

      Contribution: βˆ’0.83 years

    • ApoA1

      1.61 g/L

      Contribution: βˆ’0.16 years

    How each biomarker acts

    In the model each biomarker acts through a fixed coefficient and its deviation from the cohort mean. A negative contribution lowers the estimate, a positive one raises it. On top of that the BAA contains an age-calibration term of +5.51 years that follows from chronological age itself. Contributions and age calibration together add up to exactly the BAA of βˆ’15.08 years.

    A contribution that lowers the number is explicitly not a health recommendation: some coefficients in the model run counter to clinical intuition, and individual lab values cannot be judged in isolation as β€œbetter” or β€œworse”.

    Which values were missing

    Four specialist markers were not part of my lab report:

    • High-light-scatter reticulocyte percentage (HLR %)
    • Mean sphered cell volume (MSCV)
    • Platelet distribution width (PDW %)
    • Plateletcrit (PCT %)

    For this example they were set to the respective model mean. Their mathematical contribution to the BAA is therefore exactly zero – 4 of 25 markers are neutrally imputed. Substitutes from related parameters are deliberately not used: hematocrit is not plateletcrit, MCV is not MSCV and RDW is not PDW.

    This neutral mean imputation serves the practical example calculation. It does not correspond to the kNN imputation used in the original research project. The result should therefore be understood as an estimate, not as a clinically validated measurement.

    Context and scientific limits

    Benedikt was 34.57 years old at the time of measurement and therefore younger than the roughly 38 to 73 year old study cohort the model was developed on. The calculation is thus an extrapolation outside the age range that was investigated.

    The result is a statistical estimate based on a linear model derived from UK Biobank data. It is not a diagnosis, not proof of actual physical condition and no guarantee of a longer life expectancy. Lab values fluctuate by day and by method; other labs, other units or a different sampling date can shift the result noticeably.

    How this differs from my PhenoAge

    From the same blood panel I also calculated my PhenoAge according to Levine. The fact that PhenoAge and Bortz Age point in a similar direction here does not make them the same measure. They use different biomarkers, coefficients and statistical models, so the results must not be equated directly.

    Calculate your own Bortz Age

    The calculator runs entirely in your browser. No blood values are stored, transmitted or written into the URL.

    Blood panel date: 19 September 2025 (2025-09-19). Research-based estimate – not a medical diagnosis.