Hi everybody,
https://www.nature.com/articles/s41514-025-00221-4
This paper basically describes a better version of the Levine Phenotypic Age. This one uses 60 parameters and can also provide some useful insights.
For example, based on your results you will get a biological age and it tells you which of the subgroups in the dataset that you are most like, and what their causes of death were.
It’s more complex than Levine, and cannot run in a simple Excel. However, I’ve made a simple template and if any of you want to fill it in and send to me, I can run the R. script and share the results with you.
In the Excel template, the parameters are to be filled in each column, from B to CI. There are three example datasets provided. Two are patient datasets from subjects with a real (chronological) age of 72. The first patient (8881) had diabetes, had a LinAge2 of 88.4 (i.e. +16 years) and he actually died at 77. The second patient (9106) had a LinAge2 of 64.4 (-7.6 years) and he actually died at 91. (The calculator shows that patient 1 had strong likelihood of dying from cardiometabolic syndrome, which indeed came true.)
If you want to fill the template, simply fill in the column highlighted in yellow. Be careful with units, because the calculator expects a lot of mmol/L. I’ve given you conversion factors in the sheet. The third example dataset is the NHANES dataset median. I put it there so that you should know whether your own test results are approximately correct. For the first few columns you need to use 1 or 2 to designate yes/no or male/female. Again, instructions are in the sheet.
userData for Rapa.news.xlsx (14.8 KB)
I ran my own, and it gave me a biological age of -15.7 years, which is similar to Levine at -17. However, my wife scores -14 years on Levine but “only” scored -7 years on LinAge2. Her biomarkers are almost perfect on paper (hsCRP 0.011, LDL-C of 70, fasting glucose of 75, HBA1C of 4.5% etc), but LinAge2 strongly associated her results with immunity and vascular inflammation-related issues, and she does indeed have some autoimmune disease along those lines. So there is some value IMO of having the 60 parameters and the relationships between those numbers are important, not just the actual raw number.
If anybody wants a go, simply fill the template and post here or PM me if you want to keep it private.
