Kaji Elizabeth S, Grove Austin F, Mulford Kellen L, Larson Dirk R, Labott Joshua R, Roman Ryan D, Sierra Rafael J, Taunton Michael J, Wyles Cody C
Orthopedic Surgery Artificial Intelligence Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochest, Minnesota.
J Arthroplasty. 2025 Mar;40(3):725-731. doi: 10.1016/j.arth.2024.09.009. Epub 2024 Sep 14.
Soft tissue management in total hip arthroplasty includes appropriate restoration and/or alteration of leg length (LL) and offset to re-establish natural hip biomechanics. The purpose of this study was to evaluate the effect of LL and offset-derived variables in a multivariable survival model for dislocation.
Clinical, surgical, and radiographic data was retrospectively acquired for 12,582 patients undergoing primary total hip arthroplasty at a single institution from 1998 to 2018. There were twelve variables derived from preoperative and postoperative radiographs related to LL and offset that were measured using a validated automated algorithm. These measurements, as well as other modifiable and nonmodifiable surgical, clinical, and demographic factors, were used to determine hazard ratios for dislocation risk.
None of the LL or offset variables conferred significant risk or protective benefit for dislocation risk. By contrast, all other variables included in the multivariable model demonstrated a statistically significant effect on dislocation risk with a minimum effect size of 28% (range 0.72 to 1.54) (sex, surgical approach, acetabular liner type, femoral head size, neurologic disease, spine disease, and prior spine surgery).
Contrary to traditional teaching and our hypothesis, operative changes in LL and offset did not demonstrate any clinically or statistically significant effect in this large and well-characterized cohort. This does not imply that these variables are not important in individual cases, but rather suggests the overall impact of LL and offset changes is relatively minor for dislocation risk compared to other variables that were found to be highly clinically and statistically significant in this population. These results may also suggest that surgeons do a good job of restoring native LL and offset for patients, which may mitigate their analyzed impact.
全髋关节置换术中的软组织管理包括适当恢复和/或改变下肢长度(LL)和偏心距,以重建自然的髋关节生物力学。本研究的目的是评估在多变量生存模型中,LL和偏心距衍生变量对脱位的影响。
回顾性收集了1998年至2018年在单一机构接受初次全髋关节置换术的12582例患者的临床、手术和影像学数据。通过使用经过验证的自动算法,从术前和术后X线片中得出了12个与LL和偏心距相关的变量。这些测量值以及其他可改变和不可改变的手术、临床和人口统计学因素,用于确定脱位风险的风险比。
没有一个LL或偏心距变量对脱位风险具有显著风险或保护作用。相比之下,多变量模型中包含的所有其他变量对脱位风险均具有统计学上的显著影响,最小效应大小为28%(范围为0.72至1.54)(性别、手术入路、髋臼内衬类型、股骨头大小、神经系统疾病、脊柱疾病和既往脊柱手术)。
与传统教学和我们的假设相反,在这个大型且特征明确的队列中,LL和偏心距的手术改变并未显示出任何临床或统计学上的显著影响。这并不意味着这些变量在个别病例中不重要,而是表明与在该人群中发现具有高度临床和统计学意义的其他变量相比,LL和偏心距变化对脱位风险的总体影响相对较小。这些结果也可能表明外科医生在为患者恢复自然的LL和偏心距方面做得很好,这可能减轻了它们被分析出的影响。