Association Between Lateral Posterior Tibial Slope, Body Mass Index, and ACL Injury Risk

被引:45
作者
Bojicic, Katherine M. [1 ]
Beaulieu, Melanie L. [2 ]
Krieger, Daniel Y. Imaizumi [3 ]
Ashton-Miller, James A. [3 ,4 ]
Wojtys, Edward M. [5 ]
机构
[1] Univ Michigan, Sch Med, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Dept Biomed Engn, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Dept Orthoped Surg, MedSport, Ann Arbor, MI 48109 USA
关键词
knee; ligament; ACL; BMI; anatomy; injury prevention; ANTERIOR CRUCIATE LIGAMENT; KNEE INJURY; PLATEAU; PREVENTION; PROGRAMS; MALES; JOINT;
D O I
10.1177/2325967116688664
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Background: While body mass index (BMI), a modifiable parameter, and knee morphology, a nonmodifiable parameter, have been identified as risk factors for anterior cruciate ligament(ACL) rupture, the interaction between them remains unknown. An understanding of this interaction is important because greater compressive axial force (perhaps due to greaterBMI) applied to a knee that is already at an increased risk because of its geometry, such as a steep lateral posterior tibial slope, could further increase the probability of ACL injury. Purpose: To quantify the relationship between BMI and select knee morphological parameters as potential risk factors for ACL injury. Study Design: Case-control study; Level of evidence, 3. Methods: Sagittal knee magnetic resonance imaging (MRI) files from 76 ACL-injured and 42 uninjured subjects were gathered from the University of Michigan Health System's archive. The posterior tibial slope (PTS), middle cartilage slope (MCS), posterior meniscus height (PMH), and posterior meniscus bone angle (MBA) in the lateral compartment were measured using MRI. BMI was calculated from demographic data. The association between the knee structural factors, BMI, and ACL injury risk was explored using univariate and multivariate logistic regression. Results: PTS (P = .043) and MCS (P = .037) significantly predicted ACL injury risk. As PTS and MCS increased by 1 degrees, odds of sustaining an ACL injury increased by 12% and 13%, respectively. The multivariate logistic regression analysis, which included PTS, BMI centered around the mean (cBMI), and their interaction, showed that this interaction predicted the odds of ACL rupture (P = .050; odds ratio, 1.03). For every 1-unit increase in BMI from the average that is combined with a 1 degrees increase in PTS, the odds of an ACL tear increased by 15%. Conclusion: An increase in BMI was associated with increased risk of ACL tear in the presence of increased lateral posterior tibial slope. Larger values of PTS or MCS were associated with an increased risk of ACL tear.
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页数:7
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