Table 1.

Demographic and clinical characteristics of study population by race and allocation era

Pre-Share 35 Era (n=2299; 48.2%)Share 35 Era (n=2467; 51.8%)P Value for Era Difference
White (n=1026; 44.6%)Hispanic (n=625; 27.2%)Black (n=648; 28.2%)P ValueWhite (n=1065; 43.2%)Hispanic (n=813; 33.0%)Black (n=589; 23.9%)P Value
Mean age (years ± SD)9.5±5.910.7±5.411.7±5.3<0.019.8±6.211.1±5.611.5±5.6<0.010.34
Age group (years)<0.01<0.010.05
 <1137 (13.4%)44 (7.0%)51 (7.9%)170 (16.0%)71 (8.7%)40 (6.8%)
 1–5165 (16.1%)81 (13.0%)52 (8.0%)141 (13.2%)92 (11.3%)76 (12.9%)
 6–10174 (17.0%)125 (20.0%)96 (14.8%)153 (14.4%)121 (14.9%)79 (13.4%)
 11–17550 (53.6%)375 (60.0%)449 (69.3%)601 (56.4%)529 (65.1%)394 (66.9%)
Male sex591 (57.6%)334 (53.4%)360 (55.6%)0.25603 (56.6%)461 (56.7%)342 (58.1%)0.830.16
Cause of ESRD<0.01<0.010.03
 GN112 (10.9%)84 (13.4%)67 (10.3%)77 (7.2%)102 (12.6%)45 (7.6%)
 secondary GN81 (7.9%)34 (5.4%)23 (3.6%)89 (8.4%)33 (4.1%)28 (4.8%)
 congenital–urologic disease417 (40.6%)199 (31.8%)166 (25.6%)488 (45.8%)280 (34.4%)178 (30.2%)
 FSGS112 (10.9%)75 (12.0%)136 (21.0%)112 (10.5%)87 (10.7%)144 (24.5%)
 lupus17 (1.7%)31 (5.0%)61 (9.4%)13 (1.2%)41 (5.0%)8 (8.2%)
 other287 (28.0%)202 (32.3%)195 (30.1%)286 (26.9%)270 (33.2%)46 (24.8%)
BMI (quartiles)<0.01<0.010.73
 <16.8236 (23.0%)142 (22.7%)105 (16.2%)244 (22.9%)165 (20.3%)115 (19.5%)
 16.8–19.5268 (26.1%)151 (24.2%)133 (20.5%)251 (23.6%)184 (22.6%)114 (19.4%)
 19.5–23.7205 (20.0%)150 (24.0%)147 (22.7%)217 (20.4%)181 (22.3%)141 (23.9%)
 >23.7185 (18.0%)130 (20.8%)206 (31.8%)195 (18.3%)195 (24.0%)164 (27.8%)
 unknown132 (12.9%)52 (8.3%)57 (8.8%)158 (14.8%)88 (10.8%)55 (9.3%)
Serum albumin<3.5 g/dl630 (61.4%)378 (60.5%)463 (71.5%)<0.01578 (54.3%)466 (57.3%)366 (62.1%)<0.010.19
Hemoglobin<11 g/dl703 (68.5%)477 (76.3%)508 (78.4%)<0.01730 (68.5%)592 (72.8%)443 (75.2%)<0.010.19
Predialysis ESA469 (45.7%)248 (39.7%)255 (39.4%)<0.05491 (46.1%)330 (40.6%)232 (39.4%)<0.050.69
Health insurance at dialysis initiation<0.01<0.010.17
 public363 (35.3%)332 (53.1%)373 (57.6%)389 (36.5%)452 (55.6%)375 (63.7%)
 private469 (45.7%)110 (17.6%)157 (24.2%)538 (50.5%)126 (15.5%)154 (26.2%)
 other156 (15.2%)98 (15.7%)90 (13.9%)115 (10.8%)131 (16.1%)44 (7.5%)
 none38 (3.7%)85 (13.6%)28 (4.3%)23 (2.2%)104 (12.8%)16 (2.7%)
Neighborhood poverty (zip code below poverty)<0.01<0.010.15
 0%–4.9%208 (20.3%)32 (5.1%)32 (4.9%)251 (23.6%)34 (4.2%)53 (9.0%)
 5%–9.9%336 (32.8%)91 (14.6%)124 (19.1%)371 (34.8%)140 (17.2%)95 (16.1%)
 10%–14.9%223 (21.7%)113 (18.1%)114 (17.6%)200 (18.8%)148 (18.2%)102 (17.3%)
 15%–19.9%114 (11.1%)108 (17.3%)104 (16.1%)105 (9.9%)158 (19.4%)94 (16.0%)
 >20%110 (10.7%)260 (41.6%)244 (37.7%)102 (9.6%)305 (37.5%)216 (36.7%)
 missing35 (3.4%)21 (3.4%)30 (4.6%)36 (3.4%)28 (3.4%)29 (4.9%)
Degree of rurality<0.01<0.010.98
 urban727 (70.9%)540 (86.4%)560 (86.4%)760 (71.4%)692 (85.1%)496 (84.2%)
 rural291 (28.3%)57 (9.1%)85 (13.1%)294 (27.6%)95 (11.7%)87 (14.8%)
 unknown8 (0.8%)28 (4.5%)3 (0.5%)11 (1.0%)26 (3.2%)6 (1.0%)