S. Hasan, B. L. Kaptein, R. G. H. H. Nelissen, B. G. Pijls, Department of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands.
P. J. Marang-van de Mheen, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Clin Orthop Relat Res. 2020 Jun;478(6):1232-1241. doi: 10.1097/CORR.0000000000001209.
The number of revisions after TKA is expected to rise because of aging populations in many countries and because patients are undergoing TKA at younger ages. Aseptic loosening is a major reason for late revision, which can be predicted by radiostereometric analysis (RSA) of small groups of patients at 2 years of follow-up. RSA is therefore an ideal tool to assess new TKA designs before they are introduced to the market, although not every TKA design has been studied with RSA. If RSA-tested TKA designs have lower 10-year revision rates in national registries than non-RSA-tested TKA designs, RSA testing of all new designs could be advocated.
QUESTIONS/PURPOSES: In this study, we asked: Is there a difference in the all-cause revision rate between non-RSA-tested and RSA-tested TKA designs registered in national knee arthroplasty registries at 5 and 10 years of follow-up?
Knee arthroplasty registries were identified through the European Federation of National Associations of Orthopaedics and Traumatology webpage and through a manual internet search. Inclusion criteria were a minimum follow-up duration of 10 years and available revision or survival data per TKA design. Twenty-six registries were identified; seven were included comprising 339 TKA designs, of which 236 designs were classified as RSA-tested and 103 as non-RSA-tested. Six registries were excluded because no report was published. One registry was excluded because no fixation method was mentioned (79 TKA designs). Another registry was excluded because there was no 10-year data available (22 non-RSA-tested designs; 10 RSA-tested designs). Eleven registries were excluded because they did not provide revision rates per design and had not reached 10 years follow-up. The revision rates with their standard errors were extracted per design. We used the data from a recent meta-analysis to identify whether a TKA design was previously tested with RSA. This meta-analysis found 53 RSA studies comprising 70 different TKA designs. The prosthesis model, fixation method and insert type were extracted from these RSA-studies. The design characteristics of the TKA reported in the knee arthroplasty registries were also extracted, and if possible, matched to the TKA designs reported in the RSA-studies. At 5 years of follow-up, 191 TKA designs were identified as non-RSA-tested and 92 were identified as RSA-tested. At 10 years of follow-up, 154 TKA designs and 74 TKA designs were classified as non-RSA-tested and RSA-tested, respectively. A random-effects model using the Metafor Package in R statistics was used to estimate the pooled revision rate at 5 and 10 years of follow-up for both groups. The difference in revision rates between groups at 5 and 10 years of follow-up was estimated by including RSA as a factor in the random-effects model.
Mean all-cause revision rates at 5 years for non-RSA-tested and RSA-tested implants were 3.6% (95% CI 3.4 to 3.8) and 2.9% (95% CI 2.7 to 3.0), with a mean difference of 0.6% favoring RSA-tested implants (95% CI 0.4 to 0.8; p < 0.001). Mean all-cause revision rates at 10 years for non-RSA-tested and RSA-tested implants were 5.5% (95% CI 5.2 to 5.9) and 4.4% (95% CI 4.1 to 4.7), with a mean difference of 0.9% favoring RSA-tested implants (95% CI 0.4 to 1.3; p < 0.001).
Although there are exceptions, across registries, TKA designs that have been tested in an RSA setting have a slightly lower (about 1%) mean all-cause revision rate at 5-year and 10-year follow-up than those tested in a non-RSA setting. Acknowledging the inherent limitations of this observational study, a risk difference of 1% could potentially translate into an approximate 20% decrease in revision burden up to 10 years, which may have a profound impact on patient morbidity and health-related costs.
Level III, therapeutic study.
由于许多国家的人口老龄化以及患者在更年轻时接受 TKA,预计 TKA 后的翻修数量将会增加。无菌性松动是晚期翻修的主要原因,可以通过对 2 年随访的小患者群体进行放射立体测量分析 (RSA) 进行预测。因此,RSA 是评估新 TKA 设计在推向市场之前的理想工具,尽管并非每个 TKA 设计都经过 RSA 测试。如果 RSA 测试的 TKA 设计在国家登记处的 10 年翻修率低于非 RSA 测试的 TKA 设计,那么可以提倡对所有新设计进行 RSA 测试。
问题/目的:在这项研究中,我们提出了以下问题:在 5 年和 10 年的随访中,在国家膝关节置换登记处注册的未经 RSA 测试和经 RSA 测试的 TKA 设计的全因翻修率是否存在差异?
通过欧洲骨科和创伤外科学会网页和手动互联网搜索确定膝关节置换登记处。纳入标准为至少 10 年的随访时间和每个 TKA 设计的可用翻修或生存数据。确定了 26 个登记处,其中 7 个被纳入,包括 339 个 TKA 设计,其中 236 个设计被归类为 RSA 测试,103 个设计为非 RSA 测试。6 个登记处因未发表报告而被排除。一个登记处因未提及固定方法而被排除(79 个 TKA 设计)。另一个登记处因没有 10 年数据而被排除(22 个非 RSA 测试设计;10 个 RSA 测试设计)。由于没有按设计报告翻修率且未达到 10 年随访的 11 个登记处也被排除在外。从每个设计中提取了修订率及其标准误差。我们使用最近的荟萃分析的数据来确定 TKA 设计是否之前经过 RSA 测试。该荟萃分析发现了 53 项 RSA 研究,包括 70 个不同的 TKA 设计。从这些 RSA 研究中提取了假体模型、固定方法和插入物类型。还从膝关节置换登记处中提取了报告的 TKA 的设计特征,如果可能的话,将其与 RSA 研究中报告的 TKA 设计进行匹配。在 5 年的随访中,确定了 191 个 TKA 设计为非 RSA 测试,92 个为 RSA 测试。在 10 年的随访中,确定了 154 个 TKA 设计和 74 个 TKA 设计分别为非 RSA 测试和 RSA 测试。使用 R 统计中的 Metafor 软件包中的随机效应模型来估计两组在 5 年和 10 年随访时的累积翻修率。通过在随机效应模型中包含 RSA 作为一个因素,估计两组在 5 年和 10 年随访时的翻修率差异。
非 RSA 测试和 RSA 测试植入物的 5 年全因翻修率分别为 3.6%(95%CI 3.4 至 3.8)和 2.9%(95%CI 2.7 至 3.0),RSA 测试植入物的平均差异为 0.6%(95%CI 0.4 至 0.8;p < 0.001)。非 RSA 测试和 RSA 测试植入物的 10 年全因翻修率分别为 5.5%(95%CI 5.2 至 5.9)和 4.4%(95%CI 4.1 至 4.7),RSA 测试植入物的平均差异为 0.9%(95%CI 0.4 至 1.3;p < 0.001)。
尽管存在例外,但在登记处中,经过 RSA 测试的 TKA 设计在 5 年和 10 年随访时的全因翻修率略低(约 1%),而非 RSA 测试的设计。考虑到这项观察性研究的固有局限性,1%的风险差异可能会使 10 年内的翻修负担减少约 20%,这可能对患者的发病率和健康相关成本产生深远影响。
III 级,治疗性研究。