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. 2024 Jan 8;24:12. doi: 10.1186/s12911-023-02400-3

Table 2.

Summaries of differential predictors and biomarkers used in the model for the development and validation datasets. (SD) [percentage of missing values]

Development Dataset Validation Dataset
Drug Taken DPP4-inhibitor SGLT2-inhibitor DPP4-inhibitor SGLT2-inhibitor
(n = 9,974) (n = 6,152) (n = 6,650) (n = 4,101)
Age (years) 63.9 (10.8) 59.9 (9.1) 65.0 (10.7) 60.2 (9.3)
Number of Past Drugs
     2 3,884 1,167 2,556 731
     3 3,653 1,693 2,457 1,115
     4 972 1,569 683 1,045
     5+ 186 945 117 672
Number of Current Drugs
     0 523 149 309 93
     1 5,078 2,191 3,424 1,418
     2 3,000 2,449 1,993 1,643
     3+ 94 585 87 409
HbA1c (mmol/mol) 72.9 (13.5) 76.6 (14.2) 72.6 (13.2) 77.1 (14.1)
eGFR (mL/min/1.3m2) 83.1 (17.4) [0.2%] 88.8 (14.7) [0.3%] 84.9 (17.2) [0.2%] 88.6 (14.8) [0.4%]
ALT (IU/L) (logged) 3.3 (0.5) [10.0%] 3.4 (0.5) [10.4%] 3.3 (0.5) [10.1%] 3.4 (0.5) [10.8%]
BMI (kg/m2) 32.3 (6.4) [3.2%] 34.4 (6.5) [2.4%] 32.3 (6.4) [2.9%] 34.4 (6.6) [2.5%]
Outcome HbA1c (mmol/mol) 65.1 (16.0) 64.9 (14.2) 65.0 (16.2) 65.1 (14.6)
HbA1c_Month: Month of outcome HbA1c 9.2 (3.5) 9.0 (3.5) 9.2 (3.4) 9.0 (3.4)