Table 3.
Multivariate Cox regression analysis of the role of CumAIP in assessing changes in glycemic status in patients with prediabetes
| HR (95% CI) | ||||
|---|---|---|---|---|
| No of case | Model 1 | Model 2 | Model 3 | |
| Prediabetes to diabetes | ||||
| CumAIP | 18.36 (6.80, 49.54) | 11.70 (4.21, 32.51) | 11.03 (3.76, 32.35) | |
| CumAIP (quartile) | ||||
| Q1 | 78 (10.61%) | 1.0 | 1.0 | 1.0 |
| Q2 | 100 (13.62%) | 1.29 (0.96, 1.74) | 1.22 (0.90, 1.64) | 1.18 (0.87, 1.59) |
| Q3 | 115 (15.65%) | 1.51 (1.13, 2.02) | 1.42 (1.06, 1.90) | 1.34 (1.00, 1.80) |
| Q4 | 154 (20.95%) | 2.09 (1.59, 2.75) | 1.86 (1.40, 2.46) | 1.76 (1.32, 2.34) |
| P-trend | < 0.0001 | < 0.0001 | < 0.0001 | |
| Prediabetes to NFG | ||||
| CumAIP | 0.38 (0.16, 0.91) | 0.39 (0.16, 0.96) | 0.40 (0.17, 0.96) | |
| CumAIP (quartile) | ||||
| Q1 | 173 (23.54%) | 1.0 | 1.0 | 1.0 |
| Q2 | 174 (23.71%) | 1.00 (0.81, 1.23) | 1.00 (0.81, 1.24) | 1.06 (0.85, 1.31) |
| Q3 | 163 (22.18%) | 0.91 (0.73, 1.13) | 0.91 (0.73, 1.13) | 0.98 (0.79, 1.23) |
| Q4 | 140 (19.05%) | 0.76 (0.61, 0.96) | 0.77 (0.61, 0.97) | 0.79 (0.62, 0.99) |
| P-trend | 0.0138 | 0.0190 | 0.0402 | |
HR: hazard ratios; CI: confidence interval; other abbreviations as in Table 1
Model 1 adjust for age, gender, education, registered residence;
Model 2 adjust for age, gender, education, registered residence, heart problem, stroke, hypertension, smoking status, drinking status, height, SBP, DBP
Model 3 adjust for age, gender, education, registered residence, heart problem, stroke, hypertension, smoking status, drinking status, height, SBP, DBP, LDL-C, HbA1c, UA, Cr, BUN, CRP