Logistic regression analysis for prediction of hyperuricaemia
| Simple logistic regression | Multiple logistic regression | Multiple stepwise logistic regression | ||||
| OR (95% CI) | P value | AOR (95% CI) | P value | AOR (95% CI) | P value | |
| Sex (male) | 3.9 (1.2 to 12.3) | 0.021* | 44.9 (0.1 to 14 771.1) | 0.198 | ||
| BMI | 7.4 (3 to 18.2) | <0.001* | 6.4 (1.3 to 30.5) | 0.020* | 5.5 (1.6 to 19.1) | 0.007* |
| Comobidity | 29.6 (6.5 to 135.7) | <0.001* | 31.3 (0.2 to 361.7) | 0.172 | ||
| Uric acid before ttt | 21.4 (5.5 to 83.9) | <0.001* | 4.6 (0.5 to 40.1) | 0.163 | 12.1 (1.8 to 79.2) | 0.010* |
| Creatinine before ttt | 6612.4 (243.3 to 179 685.4) | <0.001* | 77.7 (0 to 138 449 354) | 0.553 | ||
| Creatinine after ttt | 8609 (271.5 to 273 006.7) | <0.001* | 8.1 (0 to 2 702 064.7) | 0.747 | ||
*Significant level at p value <0.05.
AOR, adjusted odds ratio; BMI, body mass index; NA, not applicable; ttt, treatment.