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Background: A treatment algorithm and screening examination have been developed to guide patient management and prospectively determine potential for highly active individuals to succeed with nonoperative care after anterior cruciate ligament rupture.

Objective: To prospectively characterize and classify the entire population of highly active individuals over a 10-year period and provide final outcomes for individuals who elected nonoperative care.

Methods: Inclusion criteria included presentation within 7 months of the index injury and an International Knee Documentation Committee level I or II activity level before injury. Concomitant injury, unresolved impairments, and a screening examination were used as criteria to guide management and classify individuals as noncopers (poor potential) or potential copers (good potential) for nonoperative care.

Results: A total of 832 highly active patients with subacute anterior cruciate ligament tears were seen over the 10-year period; 315 had concomitant injuries, 87 had unresolved impairments, and 85 did not participate in the classification algorithm. The remaining 345 patients (216 men, 129 women) participated in the screening examination a mean of 6 weeks after the index injury. There were 199 subjects classified as noncopers and 146 as potential copers. Sixty-three of 88 potential copers successfully returned to preinjury activities without surgery, with 25 of these patients not undergoing anterior cruciate ligament reconstruction at the time of follow-up.

Conclusion: The classification algorithm is an effective tool for prospectively identifying individuals early after anterior cruciate ligament injury who want to pursue nonoperative care or must delay surgical intervention and have good potential to do so.



NAVIGATION


         

 

Background

Anterior cruciate ligament (ACL) graft failure is an uncommon but devastating event after reconstruction, and risk factors for graft failure are not well understood.


Hypothesis

Returning to a high activity level after ACL reconstruction and use of an allograft are risk factors for ACL graft failure.


Study Design

Case-control study; Level of evidence, 3.


Methods

Twenty-one patients with ACL graft failure were identified over a 2-year period. Forty-two age- and sex-matched controls were identified over the same period. A 1:2 matched case-control design was used to evaluate activity level after reconstruction and graft type as risk factors for ACL graft failure. Logistic regression analysis was used to determine odds ratios for activity level after reconstruction and for graft type among cases and controls. Association (interaction) between activity level after reconstruction and graft type was evaluated comparing stratum-specific odds ratios.


Results

Univariate logistic regression models showed an increased odds of ACL graft failure for those with high activity level compared with low activity level (odds ratio [OR], 5.53; 95% confidence interval [CI], 1.18–28.61; P = .03) and for allografts compared with autografts (OR, 5.56; 95% CI 1.55–19.98; P = .009). A bivariate logistic regression model showed a 35% change in the odds ratio for activity level (OR, 4.33; 95% CI, 0.89–21.16; P = .07) and a 13% change in the odds ratio for allograft compared with autograft (OR, 4.93; 95% CI, 1.34–18.20; P = .02). Stratum-specific odds ratios between activity level and graft type show a multiplicative interaction between higher activity level and allograft for much greater odds of ACL graft failure.


Conclusion

Higher activity level after reconstruction and allograft use for reconstruction are risk factors for ACL graft failure. Stratum-specific odds ratios show a multiplicative interaction between higher activity level after ACL reconstruction and allograft use, greatly increasing the odds for ACL graft failure.




May 2012
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