Impact of suPAR levels at day +7 on AKI-d based on a conditional logistic regression model
| Factor . | Odds ratio . | 95% CI . | P value . |
|---|---|---|---|
| Day +7 suPAR∗ | — | — | .0048 |
| ≤2.48 | 1.00 | — | — |
| >2.48 | 3.26 | 1.44-7.42 | .0048 |
| GVHD prophylaxis | — | — | .1080 |
| CD34, or selection/posttransplant cyclophosphamide with other(s) | 1.00 | — | — |
| Tacrolimus alone or with others | 0.27 | 0.05-1.43 | .1236 |
| Cyclosporine alone or with others | 0.08 | 0.01-0.84 | .0349 |
| Factor . | Odds ratio . | 95% CI . | P value . |
|---|---|---|---|
| Day +7 suPAR∗ | — | — | .0048 |
| ≤2.48 | 1.00 | — | — |
| >2.48 | 3.26 | 1.44-7.42 | .0048 |
| GVHD prophylaxis | — | — | .1080 |
| CD34, or selection/posttransplant cyclophosphamide with other(s) | 1.00 | — | — |
| Tacrolimus alone or with others | 0.27 | 0.05-1.43 | .1236 |
| Cyclosporine alone or with others | 0.08 | 0.01-0.84 | .0349 |
The above model is stratified by pairing status. The optimal cutoff point of 2.48 was selected based on the maximum likelihood in fitting the conditional logistic regression model.
The odds ratio was 1.82 (95% CI, 1.16-2.87; P = .0090) when day +7 suPAR is treated as a continuous variable.