Height, weight, and BMI predict intra-articular injuries observed during ACL reconstruction: Evaluation of 456 cases from a prospective ACL database
Height, weight, and BMI predict intra-articular injuries observed during ACL reconstruction: Evaluation of 456 cases from a prospective ACL database
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DOI：
10.1097/00042752-200501000-00003
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发表时间：
2005-01-01
影响因子：
2.7
通讯作者：
Arrigain, S
中科院分区：
文献类型：
--
作者：
Bowers, AL;Spindler, KP;Arrigain, S
目的：确定ACL重建过程中观察到的关节内（IA）损伤的人口统计学和人体测量学风险因素。我们假设，当ACL撕裂发生时，身高、体重和体重指数（BMI）与IA损伤之间存在显著相关性。设计：本前瞻性多研究者ACL数据库的观察性研究使用逻辑和泊松回归分析评估IA损伤的独立预测因子。设置：范德比尔特运动医学和附属三级护理中心。患者：从详细的前瞻性ACL重建数据库中识别出接受单侧ACL重建且任一膝关节均无既往损伤的患者。400五十六例患者符合入选/排除criteria.Interventions：按照入选标准，所有患者在评估损伤profile.Main Outcome Measurements后进行单侧ACL重建：ACL数据库于1990年启动，以确定与关节内injury.Results相关的人口统计学、人体测量学和机械变量：高度最能预测胫骨和髌骨损伤。BMI能更好地预测内侧股骨髁损伤，而体重能更好地预测外侧和髌股损伤。BMI和体重同样预测胫骨平台和内侧胫骨平台损伤。通过不同的结果，年龄（比值比[OR]，1.49; 95% CI，1.02-2.16），身高（OR，2.66; 95% CI，1.52-4.65），体重（OR，1.02; 95% CI，1.01-1.04）和BMI（OR，1.24; 95%CI，1.004-1.53）均为关节内损伤的显著预测因子。这是第一份使用年龄、身高、体重和BMI的多变量分析来评估ACL重建过程中观察到的ACL断裂后IA损伤相关性的报告。我们假设运动员可能通过维持较低的体重和BMI来降低某些IA病理的风险，从而可能改善ACL重建后的长期功能结局。
Objective: To identify demographic and anthropometric risk factors for intra-articular (IA) injuries observed during ACL reconstruction. We hypothesize that significant associations exist among height, weight, and body mass index (BMI) with IA injuries when ACL tear occurs.Design: This observational study of a prospective multi-investigator ACL database used logistic and Poisson regression analysis to assess independent predictors of IA injuries.Setting: Vanderbilt Sports Medicine and affiliated tertiary care center.Patients: Patients undergoing unilateral ACL reconstruction without prior injury to either knee were identified from a detailed prospective ACL reconstruction database. Four hundred fifty-six patients met inclusion/exclusion criteria.Interventions: Per inclusion criteria, all patients underwent unilateral ACL reconstruction after assessment of injury profile.Main Outcome Measurements: The ACL database was initiated in 1990 to identify demographic, anthropometric, and mechanistic variables associated with intra-articular injury.Results: Height best predicted tibial and patellar damage. BMI better predicted medial femoral condyle lesions, whereas weight better predicted lateral and patellofemoral injury. BMI and weight equally predicted injury to menisci and medial tibial plateau. Through different outcomes, age (odd ratio [OR], 1.49; 95% Cl, 1.02-2.16), height (OR, 2.66; 95% Cl, 1.52-4.65), weight (OR, 1.02; 95% CI, 1.01-1.04), and BMI (OR, 1.24; 95% Cl, 1.004-1.53) were all significant predictors of intra-articular injury.Conclusions: This is the first report using multivariable analysis of age, height, weight, and BMI to evaluate associations with IA injuries after ACL rupture observed during ACL reconstruction. We hypothesize that athletes possibly could reduce risk of certain IA pathologies with maintenance of lower body weight and BMI and thus potentially improve long-term functional outcomes after ACL reconstruction.