| Literature DB >> 18297200 |
Rosalvo Zosimo Bispo1, Cezar Teruyuki Kawano, Alexandre Vieira Guedes.
Abstract
INTRODUCTION: Diagnosis and treatment of multiple ligament injuries of the knee remain a real challenge for most surgeons.Entities:
Mesh:
Year: 2008 PMID: 18297200 PMCID: PMC2664179 DOI: 10.1590/s1807-59322008000100002
Source DB: PubMed Journal: Clinics (Sao Paulo) ISSN: 1807-5932 Impact factor: 2.365
Comparison of diagnosis groups with other demographic and clinical variables.
| DIAGNOSIS GROUPS
| |||||
|---|---|---|---|---|---|
| ACL (n=69) | ACL+ PCL (n=17) | PCL (n=23) | |||
| Age (years) | Mean ± SD | 31.49 ± 7.67 | 29.18 ± 8.47 | 32.26 ± 7.77 | |
| Median (Min; Max) | 30 (16; 55) | 28 (20; 51) | 31 (20; 47) | 0.442 | |
| Male gender | 68 (98.6%) | 17 (100.0%) | 22 (95.7%) | 0.601 | |
| Time since injury (months) | Mean ± SD | 30.78 ± 28.79 | 19.00 ± 14.51 | 34.13 ± 32.69 | |
| Median (Min; Max) | 24 (3; 180) | 12 (3; 48) | 24 (4; 120) | 0.165 | |
| Right side of the body | 39 (56.5%) | 12 (70.6%) | 11 (47.8%) | 0.354 | |
| Varus deformity | 6 (8.7%) | 1 (5.9%) | 0 (0.0%) | 0.449 | |
| Neoligament injury | 8 (11.6%) | 1 (5.9%) | 0 (0.0%) | 0.204 | |
| Type of Accident | Sports | 46 (66.7%) | 5 (29.4%) | 6 (26.1%) | |
| Weight | 1 (1.5%) | 1 (5.9%) | 1 (4.4%) | <0.001 | |
| Fall | 14 (20.3%) | 2 (11.8%) | 2 (8.7%) | ||
| Traffic | 8 (11.6%) | 9 (52.9%) | 14 (60.9%) | ||
Descriptive probability level of the Variance Analysis to a factor;
Descriptive probability level of Fisher’s exact test;
Descriptive probability level of Kruskal-Wallis non-parametric test;
Descriptive probability level of the chi square test
Figure 1Graph showing the time since injury for groups with and without varus deformity.
Figure 2Graph showing the time since injury for groups with and without neoligament disruption.