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当达到计算机模拟的预测理想对线时,TKA 后的患者报告的功能障碍会减少。

Patient-reported impairment following TKA is reduced when a computationally simulated predicted ideal alignment is achieved.

机构信息

360MedCare, Suite 3, Building 1/20 Bridge St, Pymble, Sydney, NSW, 2073, Australia.

Sydney Orthopaedic Research Institute, Sydney, 2067, Australia.

出版信息

Knee Surg Sports Traumatol Arthrosc. 2023 Mar;31(3):1098-1105. doi: 10.1007/s00167-022-07225-7. Epub 2022 Nov 29.

Abstract

PURPOSE

Joint dynamics following Total Knee Arthroplasty (TKA) may influence patient-reported outcome. Simulations allow many knee alignment approaches to a single patient to be considered prior to surgery. The simulated kinematics can be matched to patient-reported outcome to predict kinematic patterns most likely to give the best outcome. This study aims to validate one such previously developed algorithm based on a simulated deep knee bend (the Dynamic Knee Score, DKS).

METHODS

1074 TKA patients with pre- and post-operative Computerised Tomography (CT) scans and 12-month post-operative Knee Injury and Osteoarthritis Outcomes (KOOS) Scores were identified from the 360 Med Care Joint Registry. Landmarking and registration of implant position was performed on all CT scans, and each of the achieved TKAs was computationally simulated and received a predictive outcome score from the DKS. In addition, a set of potential alternative surgical plans which might have been followed were simulated. Comparison of patient-reported issues and DKS score was evaluated in a counter-factual study design.

RESULTS

Patient-reported impairment with the knee catching and squatting was shown to be 30% lower (p = 0.005) and 22% lower (p = 0.026) in patients where the best possible DKS result was the one surgically achieved. Similar findings were found relating attainment of the best tibial slope and posterior femoral resection DKS plans to patient-reported difficulty straightening the knee (40% less likely, p < 0.001) and descending stairs (35% less likely, p = 0.006).

CONCLUSION

The DKS has been shown to correlate with presence of patient-reported impairments post-TKA and the resultant algorithm can be applied in a pre-operative planning setting. Outcome optimization in the future may come from patient-specific selection of an alignment strategy and simulations may be a technological enabler of this trend.

LEVEL OF EVIDENCE

III (Retrospective Cohort Study).

摘要

目的

全膝关节置换术(TKA)后的关节动力学可能会影响患者报告的结果。模拟允许在手术前考虑许多针对单个患者的膝关节对准方法。模拟运动学可以与患者报告的结果相匹配,以预测最有可能获得最佳结果的运动模式。本研究旨在验证之前基于模拟深膝弯曲(动态膝关节评分,DKS)开发的一种算法。

方法

从 360 Med Care 联合登记处确定了 1074 例接受过术前和术后计算机断层扫描(CT)检查和 12 个月术后膝关节损伤和骨关节炎结果(KOOS)评分的 TKA 患者。对所有 CT 扫描进行了植入物位置的标记和配准,并且对每个获得的 TKA 进行了计算模拟,并从 DKS 获得了预测的结果评分。此外,还模拟了可能遵循的一组潜在替代手术计划。在反事实研究设计中评估了患者报告的问题和 DKS 评分的比较。

结果

与手术获得的最佳 DKS 结果相比,患者报告的膝关节被夹住和蹲下的功能障碍分别降低了 30%(p=0.005)和 22%(p=0.026)。在实现最佳胫骨倾斜度和后股骨切除 DKS 计划与患者报告的伸直膝关节(可能性降低 40%,p<0.001)和下楼梯(可能性降低 35%,p=0.006)的困难相关的情况下也发现了类似的发现。

结论

DKS 已被证明与 TKA 后患者报告的功能障碍的存在相关,并且由此产生的算法可以应用于术前规划环境中。未来的结果优化可能来自于患者特定的对准策略选择,模拟可能是这种趋势的技术推动者。

证据水平

III(回顾性队列研究)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac49/9957835/141e779dd878/167_2022_7225_Fig1_HTML.jpg

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