Table 3.
Change in GFR in relation to UA blood level using multivariate linear regression model.
| GFR 1 year post Tx |
GFR 3 years post Tx |
GFR 5 years post Tx |
|
|---|---|---|---|
| Study population (n = 320) |
Study population (n = 189) |
Study population (n = 101) |
|
| Mean (SD) | Mean (SD) | Mean (SD) | |
| Increase in UA of 1 mg/dL | –0.56 (–1.49, 0.36) | –1.48 (–3.2, 0.26) | 0.43 (–2.5, 3.4) |
| Age (increase in 1 year) | –0.03 (–0.15, 0.08) | –0.15 (–0.36, 0.06) | 0.04 (–0.36, 0.43) |
| Female (vs. male) | 1.14 (–1.76, 4.04) | 0.75 (–4.7, 6.23) | 2.2 (–6.4, 10.8) |
| Race | |||
| White | Reference | Reference | Reference |
| Black | 1.00 (–2.8, 4.79) | –3.05 (–10.0, 3.9) | –6.29 (–18.1, 5.5) |
| Other | –0.86 (–4.6, 2.9) | –3.6 (–10.1, 2.87) | –4.98 (–16.9, 7.0) |
| Transplant type | |||
| DCD/ECD vs. LRD/LURD | 1.03 (–3.3, 5.3) | 5.6 (–2.3, 13.5) | –1.16 (–14.4, 12.1) |
| SCD vs. LRD/LURD | –0.2 (–4.41, 4.0) | –0.38 (–7.36, 6.6) | 4.37 (–6.2, 14.9) |
| Induction | |||
| Thymoglobulin | Reference | Reference | Reference |
| Simulect | 1.28 (–1.7, 4.2) | –0.73 (–6.1, 4.6) | –4.8 (–15.6, 6.0) |
| No induction | –2.0 (–15.5, 11.5) | –3.7 (–22.8, 15.3) | 13.7 (–14.7, 42.0) |
| Medical history | |||
| Hypertension | 0.5 (–4.6, 5.6) | 7.7 (–2.3, 17.8) | 4.8 (–9.9, 19.6) |
| Heart failure | –1.1 (–4.3, 2.1) | –3.1 (–9.2, 3.1) | –6.8 (–17.0, 3.3) |
| Cardiovascular Disease | –1.6 (–4.6, 1.4) | –6.7 (–12.5, −1.0)* | –8.1 (–17.3, 1.0) |
| Pre Transplant Diabetes | –1.2 (–4.3, 1.9) | –4.5 (–9.9, 0.98) | –6.8 (–15.4, 1.8) |
| Median CNI trough level | 0.99 (0.12, 1.8)* | 1.4 (–0.04, 2.9) | 0.8 (–1.47, 3.1) |
| Tacro coefficient of variation | –0.01 (–0.1, 0.08) | 0.03 (–0.13, 0.19) | 0.13 (–0.17, 0.43) |
| Use of loop diuretics | –6.5 (–10.1, −2.9)** | –2.2 (–8.9, 4.5) | 0.8 (–10.3, 11.9) |
| SGF vs. no SGF | 0.3 (–3.4, 4.0) | –2.32 (–9.0, 4.36) | 3.9 (–8.0, 15.7) |
| GFR_3M increase in 1 ml/min | 0.8 (0.7, 0.9)** | 0.54 (0.37, 0.71)** | 0.7 (0.4, 1.0)** |
Note: The results shown in the table were derived from 4 separate linear regression models; each of them adjusted for the following covariates: age, race, gender, transplant type, induction therapy, medical history, median and coefficient of variation CNI trough level, use of loop diuretics, pre-transplant diabetes, presence of SGF and baseline GFR. *p < 0.05; **p < 0.01.