Griffiths-Jones William, Chen Darren B, Harris Ian A, Bellemans Johan, MacDessi Samuel J
CPAK Research Group, Kogarah, New South Wales, Australia.
North Devon District Hospital, Barnstaple, UK.
Bone Jt Open. 2021 May;2(5):351-358. doi: 10.1302/2633-1462.25.BJO-2021-0028.R1.
Once knee arthritis and deformity have occurred, it is currently not known how to determine a patient's constitutional (pre-arthritic) limb alignment. The purpose of this study was to describe and validate the arithmetic hip-knee-ankle (aHKA) algorithm as a straightforward method for preoperative planning and intraoperative restoration of the constitutional limb alignment in total knee arthroplasty (TKA).
A comparative cross-sectional, radiological study was undertaken of 500 normal knees and 500 arthritic knees undergoing TKA. By definition, the aHKA algorithm subtracts the lateral distal femoral angle (LDFA) from the medial proximal tibial angle (MPTA). The mechanical HKA (mHKA) of the normal group was compared to the mHKA of the arthritic group to examine the difference, specifically related to deformity in the latter. The mHKA and aHKA were then compared in the normal group to assess for differences related to joint line convergence. Lastly, the aHKA of both the normal and arthritic groups were compared to test the hypothesis that the aHKA can estimate the constitutional alignment of the limb by sharing a similar centrality and distribution with the normal population.
There was a significant difference in means and distributions of the mHKA of the normal group compared to the arthritic group (mean -1.33° (SD 2.34°) vs mean -2.88° (SD 7.39°) respectively; p < 0.001). However, there was no significant difference between normal and arthritic groups using the aHKA (mean -0.87° (SD 2.54°) vs mean -0.77° (SD 2.84°) respectively; p = 0.550). There was no significant difference in the MPTA and LDFA between the normal and arthritic groups.
The arithmetic HKA effectively estimated the constitutional alignment of the lower limb after the onset of arthritis in this cross-sectional population-based analysis. This finding is of significant importance to surgeons aiming to restore the constitutional alignment of the lower limb during TKA. Cite this article: 2021;2(5):351-358.
一旦发生膝关节关节炎和畸形,目前尚不清楚如何确定患者的先天性(关节炎前)肢体对线。本研究的目的是描述和验证算术髋-膝-踝(aHKA)算法,作为全膝关节置换术(TKA)术前规划和术中恢复先天性肢体对线的一种直接方法。
对500例正常膝关节和500例接受TKA的关节炎膝关节进行了一项比较性横断面放射学研究。根据定义,aHKA算法从内侧胫骨近端角(MPTA)中减去外侧股骨远端角(LDFA)。将正常组的机械性髋-膝-踝(mHKA)与关节炎组的mHKA进行比较,以检查差异,特别是与后者的畸形相关的差异。然后在正常组中比较mHKA和aHKA,以评估与关节线汇聚相关的差异。最后,比较正常组和关节炎组的aHKA,以检验aHKA可以通过与正常人群共享相似的中心性和分布来估计肢体先天性对线的假设。
与关节炎组相比,正常组mHKA的均值和分布存在显著差异(分别为均值-1.33°(标准差2.34°)和均值-2.88°(标准差7.39°);p<0.001)。然而,使用aHKA时,正常组和关节炎组之间没有显著差异(分别为均值-0.87°(标准差2.54°)和均值-0.77°(标准差2.84°);p = 0.550)。正常组和关节炎组之间的MPTA和LDFA没有显著差异。结论:在这项基于人群的横断面分析中,算术髋-膝-踝算法有效地估计了关节炎发作后下肢的先天性对线。这一发现对于旨在在TKA期间恢复下肢先天性对线的外科医生具有重要意义。引用本文:2021;2(5):351-358。