Allograft Versus Autograft Anterior Cruciate Ligament Reconstruction: Predictors of Failure From a MOON Prospective Longitudinal Cohort

Background: Tearing an anterior cruciate ligament (ACL) graft is a devastating occurrence after ACL reconstruction (ACLR). Identifying and understanding the independent predictors of ACLR graft failure is important for surgical planning, patient counseling, and efforts to decrease the risk of graft failure.

Hypothesis: Patient and surgical variables will predict graft failure after ACLR.

Study Design: Prospective cohort study.

Methods: A multicenter group initiated a cohort study in 2002 to identify predictors of ACLR outcomes, including graft fail- ure. First, to control for confounders, a single surgeon’s data (n = 281 ACLRs) were used to develop a multivariable regres- sion model for ACLR graft failure. Evaluated variables were graft type (autograft vs allograft), sex, age, body mass index, activity at index injury, presence of a meniscus tear, and primary versus revision reconstruction. Second, the model was val- idated with the rest of the multicenter study’s data (n = 645 ACLRs) to evaluate the generalizability of the model.

Results: Patient age and ACL graft type were significant predictors of graft failure for all study surgeons. Patients in the age group of 10 to 19 years had the highest percentage of graft failures. The odds of graft rupture with an allograft reconstruc- tion are 4 times higher than those of autograft reconstructions. For each 10-year decrease in age, the odds of graft rupture increase 2.3 times.

Conclusion: There is an increased risk of ACL graft rupture in patients who have undergone allograft reconstruction. Younger patients also have an increased risk of ACL graft failure.

Clinical Relevance: Given these risks for ACL graft rupture, allograft ACLRs should be performed with caution in the younger patient population.

pdf Read the full text of this this article

Share on your network
Share on FacebookShare on Google+Tweet about this on TwitterShare on LinkedIn