CAC score (quantitative)* | |||
---|---|---|---|
Covariate effects from multiple models | X2 | P value | Geometric mean ratio (95Â % CI)^ |
Furosine: | |||
 Unadjusted for A1c | 5.7 | 0.017 | 5.6 (1.4, 22.7) |
 Adjusted for | |||
  DCCT mean A1c | 1.3 | 0.26 | 3.8 (0.4, 37.3) |
  EDIC mean A1c | 4.4 | 0.035 | 5.0 (1.1, 22.2) |
DCCT mean A1c: | |||
 Unadjusted | 5.0 | 0.025 | 1.9 (1.1, 3.3) |
 Adjusted for | |||
  Furosine | 0.2 | 0.68 | 1.2 (0.5, 3.0) |
EDIC mean A1c: | |||
 Unadjusted | 0.6 | 0.52 | 1.1 (0.7, 1.8) |
CAC >0** | |||
---|---|---|---|
Covariate effects from multiple models | t value | P value | Odds ratio (95Â % CI)# |
DCCT mean A1c: | |||
 Unadjusted | 2.2 | 0.031 | 1.3 (1.0, 1.6) |
EDIC mean A1c: | |||
 Unadjusted | 0.8 | 0.41 | 1.1 (0.9, 1.5) |
CAC >100** | |||
---|---|---|---|
Covariate effects from multiple models | t value | P value | Odds ratio (95Â % CI)# |
DCCT mean A1c: | |||
 Unadjusted | 0.4 | 0.68 | 1.1 (0.7, 1.6) |
EDIC mean A1c: | |||
 Unadjusted | 0 | 0.71 | 1.1 (0.6, 2.0) |