Table 1.
Demographics.
Variable | N | Overall, N = 6331 | CF, N = 491 | HM, N = 611 | LP, N = 551 | NLP, N = 941 | VA < 20/1000, N = 3741 | p-value2 |
---|---|---|---|---|---|---|---|---|
Age at Injury | 633 | 45 (21.54); (1-96.00); 44; | 55 (20.41); (6-93.00); 56; | 50 (21.83); (5-93.00); 53; | 50 (25.24); (1-93.00); 53; | 53 (22.77); (10-96.00); 56; | 40 (19.25); (1-90.00); 39; | <0.001 |
Sex | 633 | 0.010 | ||||||
F | 144 (22.75%) | 12 (24.49%) | 19 (31.15%) | 16 (29.09%) | 30 (31.91%) | 67 (17.91%) | ||
M | 489 (77.25%) | 37 (75.51%) | 42 (68.85%) | 39 (70.91%) | 64 (68.09%) | 307 (82.09%) | ||
Race | 633 | 0.49 | ||||||
Asian | 15 (2.37%) | 1 (2.04%) | 0 (0.00%) | 1 (1.82%) | 1 (1.06%) | 12 (3.21%) | ||
Black | 44 (6.95%) | 4 (8.16%) | 7 (11.48%) | 1 (1.82%) | 7 (7.45%) | 25 (6.68%) | ||
Native Hawaiian Or Other Pacific Islander | 2 (0.32%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 1 (1.06%) | 1 (0.27%) | ||
Other | 68 (10.74%) | 5 (10.20%) | 3 (4.92%) | 5 (9.09%) | 7 (7.45%) | 48 (12.83%) | ||
Unknown | 8 (1.26%) | 1 (2.04%) | 1 (1.64%) | 0 (0.00%) | 3 (3.19%) | 3 (0.80%) | ||
White | 496 (78.36%) | 38 (77.55%) | 50 (81.97%) | 48 (87.27%) | 75 (79.79%) | 285 (76.20%) | ||
Ethnicity | 633 | 0.11 | ||||||
Hispanic | 65 (10.27%) | 4 (8.16%) | 2 (3.28%) | 5 (9.09%) | 6 (6.38%) | 48 (12.83%) | ||
Not Hispanic | 561 (88.63%) | 45 (91.84%) | 58 (95.08%) | 50 (90.91%) | 85 (90.43%) | 323 (86.36%) | ||
Unknown | 7 (1.11%) | 0 (0.00%) | 1 (1.64%) | 0 (0.00%) | 3 (3.19%) | 3 (0.80%) | ||
Laterality | 633 | 0.93 | ||||||
OD | 291 (45.97%) | 22 (44.90%) | 28 (45.90%) | 23 (41.82%) | 41 (43.62%) | 177 (47.33%) | ||
OS | 342 (54.03%) | 27 (55.10%) | 33 (54.10%) | 32 (58.18%) | 53 (56.38%) | 197 (52.67%) | ||
Mechanism | 633 | <0.001 | ||||||
Laceration | 313 (49.45%) | 19 (38.78%) | 20 (32.79%) | 10 (18.18%) | 17 (18.09%) | 247 (66.04%) | ||
Rupture | 320 (50.55%) | 30 (61.22%) | 41 (67.21%) | 45 (81.82%) | 77 (81.91%) | 127 (33.96%) | ||
rAPD | 633 | <0.001 | ||||||
N | 507 (80.09%) | 31 (63.27%) | 45 (73.77%) | 36 (65.45%) | 44 (46.81%) | 351 (93.85%) | ||
Y | 126 (19.91%) | 18 (36.73%) | 16 (26.23%) | 19 (34.55%) | 50 (53.19%) | 23 (6.15%) | ||
IOFB | 633 | 0.007 | ||||||
N | 523 (82.62%) | 40 (81.63%) | 53 (86.89%) | 46 (83.64%) | 89 (94.68%) | 295 (78.88%) | ||
Y | 110 (17.38%) | 9 (18.37%) | 8 (13.11%) | 9 (16.36%) | 5 (5.32%) | 79 (21.12%) | ||
Zone | 633 | <0.001 | ||||||
1 | 224 (35.39%) | 11 (22.45%) | 12 (19.67%) | 6 (10.91%) | 8 (8.51%) | 187 (50.00%) | ||
2 | 220 (34.76%) | 21 (42.86%) | 22 (36.07%) | 22 (40.00%) | 24 (25.53%) | 131 (35.03%) | ||
3 | 189 (29.86%) | 17 (34.69%) | 27 (44.26%) | 27 (49.09%) | 62 (65.96%) | 56 (14.97%) | ||
Prolapse | 633 | <0.001 | ||||||
N | 182 (28.75%) | 5 (10.20%) | 9 (14.75%) | 7 (12.73%) | 10 (10.64%) | 151 (40.37%) | ||
Y | 451 (71.25%) | 44 (89.80%) | 52 (85.25%) | 48 (87.27%) | 84 (89.36%) | 223 (59.63%) | ||
Lensectomy | 633 | <0.001 | ||||||
N | 399 (63.03%) | 23 (46.94%) | 28 (45.90%) | 27 (49.09%) | 78 (82.98%) | 243 (64.97%) | ||
Y | 234 (36.97%) | 26 (53.06%) | 33 (54.10%) | 28 (50.91%) | 16 (17.02%) | 131 (35.03%) | ||
Post-op Sight Improving Surgery | 633 | <0.001 | ||||||
N | 286 (45.18%) | 5 (10.20%) | 8 (13.11%) | 12 (21.82%) | 71 (75.53%) | 190 (50.80%) | ||
Y | 347 (54.82%) | 44 (89.80%) | 53 (86.89%) | 43 (78.18%) | 23 (24.47%) | 184 (49.20%) | ||
Hours to OR | 633 | 15 (5.62); (2–24.00); 15; | 14 (5.29); (5–23.75); 14; | 14 (5.11); (4–23.42); 13; | 17 (4.45); (6–23.25); 18; | 15 (4.82); (4–23.65); 16; | 14 (5.98); (2–24.00); 15; | 0.004 |
Demographics of open globe injuries repaired within 24 h, 2012–2022.
1Mean (SD); (Min-Max); Median for numerical variables, Frequency (%) for categorical variables.
2Kruskal-Wallis rank sum test; Pearson’s Chi-squared test.