'Use of cox model in risk prediction

I am new in data science. I want to understand the cox-based risk prediction used in cardiovascular disease. I read the example presented in the appendix of this[1] paper. The following equation is used: [2]. The calculation to compute the second parameter in the exp is presented as follows:

= 2.083643 ∗ 3.768 − 0.469719 ∗ 1.548

  • 0.608864 ∗ 3.230 + 0.241461 ∗ 0.1469
  • 1.682571 ∗ 4.913 − 0.302090 ∗ 4.311
  • 0.009669 ∗ 13.96 + 1.087501 ∗ 0.02001 = 16.518741

My question is how they get 3.768, 1.548, 3.230, 0.1469, 4.913, 4.311, 13.96, 0.02001

Any help please. [1]: https://doi.org/10.1155/2019/8392348 [2]: https://i.stack.imgur.com/9Rob4.jpg

survival-analysiscox-regression


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