Table 2.
Multivariable model for association between maximum acute kidney injury stage and post-discharge eGFR results.
| % change in eGFR (95% CI) | p value | |
|---|---|---|
| All patients (n = 1301) | ||
| Age (per 1 year increase) | − 0.7 (− 0.8, − 0.5) | < 0.001 |
| Female gender | 0.1 (− 3.5, 3.9) | 0.939 |
| Baseline eGFR (per 10 increase) | 10.5 (9.5, 11.5) | < 0.001 |
| Pre− existing health conditionsa | − 3.7 (− 8.8, 1.7) | 0.173 |
| Change from 0 to 6 months | ||
| No AKI | − 9.5 (− 11.5, − 7.4) | < 0.001 |
| Mild AKI | − 12.3 (− 15.1, − 9.4) | |
| Moderate− severe AKI | − 4.3 (− 7.0,− 1.4) | |
| Annual rate of change 6 months–7 years | ||
| No AKI | − 1.4 (− 2.2, − 0.6) | 0.955 |
| Mild AKI | − 1.5 (− 2.6, − 0.3) | |
| Moderate− severe AKI | − 1.6 (− 2.7, − 0.5) | |
Log (eGFR) was modelled using linear mixed effects models with a split slope for time, allowing the rate of change to differ in the first 6 months after discharge as compared to longer term. Exponentials of model co-efficient were calculated to provide estimates of the effect of the dependent variables on the % change in eGFR. There was no evidence in of a difference in the effect of recovery by AKI level up to 6 months or from 6 months to 7 years (p for interaction = 0.256 and 0.218 , respectively).
AKI acute kidney injury ICU, eGFR estimated glomerular filtration rate.
aRecorded according to the APACHE score chronic organ insufficiency.