Allograft Versus Autograft Anterior Cruciate Ligament Reconstruction

Author:

Kaeding Christopher C.1,Aros Brian2,Pedroza Angela1,Pifel Eric3,Amendola Annunziato4,Andrish Jack T.5,Dunn Warren R.6,Marx Robert G.7,McCarty Eric C.8,Parker Richard D.5,Wright Rick W.9,Spindler Kurt P.6

Affiliation:

1. Department of Orthopaedics, The Ohio State University School of Medicine, Columbus, Ohio

2. Green Mountain Orthopaedic Surgery, Berlin, Vermont

3. Orthopedic Institute of Wisconsin, Milwaukee, Wisconsin

4. Department of Orthopaedic Surgery, University of Iowa School of Medicine, Iowa City, Iowa

5. Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio

6. Department of Orthopaedic Surgery and Rehabilitation, Vanderbilt University Medical School, Nashville, Tennessee

7. Sports Medicine Division, Hospital for Special Surgery, New York, New York

8. Department of Orthopaedic Surgery, University of Colorado School of Medicine, Denver, Colorado

9. Department of Orthopaedic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Missouri

Abstract

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 failure. First, to control for confounders, a single surgeon’s data (n = 281 ACLRs) were used to develop a multivariable regression 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 validated 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 reconstruction 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.

Publisher

SAGE Publications

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

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