Table 2.
Model 1 | Model 2 | Model 3 | ||||
---|---|---|---|---|---|---|
RT (95% CI) | p | RT (95% CI) | p | RT (95% CI) | p | |
SuPAR | <0.001 | <0.001 | 0.05 | |||
Quartile 2 vs 1 | 0.60 (0.44, 0.82) | 0.001 | 0.66 (0.50, 0.88) | 0.004 | 0.75 (0.57, 1.00) | 0.05 |
Quartile 3 vs. 1 | 0.47 (0.35, 0.64) | <0.001 | 0.56 (0.42, 0.74) | <0.001 | 0.71 (0.54, 0.94) | 0.02 |
Quartile 4 vs. 1 | 0.37 (0.27, 0.51) | <0.001 | 0.46 (0.34, 0.61) | <0.001 | 0.67 (0.50, 0.90) | 0.008 |
Age (per 1 y older) | 0.92 (0.89, 0.94) | <.001 | 0.92 (0.89, 0.94) | <.001 | 0.93 (0.91, 0.96) | <.001 |
Male sex (v. female) | 0.79 (0.64, 0.97) | 0.02 | 0.80 (0.67, 0.96) | 0.02 | 0.77 (0.64, 0.93) | 0.005 |
Black race (vs nonblack) | 0.80 (0.64, 1.01) | 0.06 | 0.81 (0.66, 1.01) | 0.06 | 0.75 (0.60, 0.93) | 0.008 |
Hispanic (v. nonHispanic) | 0.93 (0.69 1.25) | 0.6 | 1.09 (0.83, 1.43) | 0.5 | 1.08 (0.83, 1.41) | 0.6 |
BMI (per 1 kg/m2 increase) | 1.03 (1.01, 1.04) | 0.002 | 1.01 (0.99, 1.03) | 0.2 | ||
SBP | 0.05 | 1 | 0.06 | |||
≤ 50th percentile | 1.00 (reference) | -- | 1.00 (reference) | -- | ||
50th-90th percentile | 0.94 (0.76, 1.15) | 0.5 | 0.98 (0.79, 1.20) | 0.8 | ||
> 90th percentile | 0.75 (0.59, 0.95) | 0.02 | 0.77 (0.60, 0.98) | 0.03 | ||
Antihypertensive use | 0.85 (0.70, 1.04) | 0.1 | 0.89 (0.73, 1.09) | 0.3 | ||
Proteinuria | <0.001 | <0.001 | ||||
< 0.5 mg/mg | 1.00 (reference) | -- | 1.00 (reference) | -- | ||
0.5–<2.0 mg/mg | 0.65 (0.54, 0.80) | <0.001 | 0.71 (0.58, 0.86) | 0.001 | ||
≥2 mg/mg | 0.37 (0.29, 0.49) | <0.001 | 0.42 (0.32, 0.54) | <0.001 | ||
Glomerular diagnosis (v. non-glomerular) | 0.89 (0.72, 1.12) | 0.3 | 0.76 (0.60, 0.95) | 0.02 | ||
eGFR (per 10 mL/min/1.73m2 lower) | 0.81 (0.76, 0.86) | <.001 |
based on lognormal parametric survival models among 521 participants contributing 171 events.
Model 1: Minimally adjusted: age, sex, race
Model 2: Model 1 plus BMI, hypertension (systolic BP percentiles), antihypertensive use, proteinuria, glomerular diagnosis
Model 3: Model 2 plus eGFR