Table 1 Univariate logistic regression analysis to identify predictors of acute compartment syndrome in the lower leg following tibial plateau fractures
Variable | with ACS (n=35) | Without ACS (n=1084) | p |
|---|---|---|---|
Mean age, years | 36.3±15.1 | 43.5±18.4 | < 0.001* |
Gender, n (%) | 0.161 | ||
Female | 9 (25.7) | 407 (37.5) | |
Male | 26 (74.3) | 677 (62.5) | |
Mechanism of injury, n (%) | 0.880 | ||
Motor vehicle accident | 17 (48.6) | 464 (42.9) | |
Fall from a height | 13 (37.1) | 389 (36.0) | |
Ground level fall | 2 (5.7) | 99 (9.1) | |
Other | 3 (8.6) | 130 (12.0) | |
Mean time from injury to admission, hours | 2.1±1.3 | 2.7±3.4 | 0.674 |
Schatzker classification, (%) | |||
Type I | 0 (0) | 45 (4.2%) | N/A |
Type II | 0 (0) | 346 (31.9%) | N/A |
Type III | 0 (0) | 71 (6.5%) | N/A |
Type IV | 1 (2.9) | 212 (19.6%) | 0.856 |
Type V | 7 (20.0) | 169 (15.6%) | 0.412 |
Type VI | 27 (77.1) | 241(22.2%) | 0.017* |
Fracture pattern, n (%) | 0.758 | ||
Open | 17 (48.6) | 336 (31.0) | |
Closed | 18 (51.4) | 748(69.0) | |
Underlying disease, n (%) | 0.854 | ||
Hypertension | 7 (77.8) | 292 (72.1) | |
Diabetes mellitus | 2 (22.2) | 102 (25.2) | |
Steroid use | 0(0) | 11 (2.7) | |