Hermansen Lars L, Iversen Thomas F, Iversen Pernille, Viberg Bjarke, Overgaard Søren
Department of Orthopedics, University Hospital of Southern Denmark, Esbjerg; Department of Regional Health Research, University of Southern Denmark, Odense.
Department of Emergency Medicine, Gødstrup Hospital, Gødstrup.
Acta Orthop. 2024 Jul 17;95:380-385. doi: 10.2340/17453674.2024.41064.
Dislocations continue to be a serious complication after primary total hip arthroplasty (THA). Our primary aim was to report the "true" incidence of dislocations in Denmark and secondarily to validate a previously developed algorithm designed to identify THA dislocations in the updated version of the Danish National Patient Register (DNPR), based on data from the Danish Hip Arthroplasty Register (DHR).
We included 5,415 primary THAs from the DHR performed from July 1 to December 31, 2019. Version 3 of the DNPR was launched in February 2019, and a combination of data from the DNPR and a comprehensive national review of 1,762 hospital contacts enabled us to identify every dislocation occurring during the 1st year after THA to determine the "true" 1-year incidence of dislocation. The results were presented as proportions with 95% confidence intervals (CI), and validation was performed by calculating sensitivity and predictive values.
The "true" 1-year incidence of dislocation was 2.8% (CI 2.4-3.3). Of these, 37% suffered recurrent dislocations during the follow-up period. Between-hospital variation ranged from 0.0% to 9.6%. The algorithm demonstrated a sensitivity close to 95%, while maintaining a positive predictive value of above 94%.
The "true" 1-year incidence of dislocation of 2.8% is comparable to earlier findings, and large variation among hospitals continues to be evident. We have proven the algorithm to be valid in the latest DNPR (version 3), enabling it to be employed as a new quality indicator in future annual DHR reports.
初次全髋关节置换术(THA)后脱位仍是一种严重的并发症。我们的主要目的是报告丹麦脱位的“真实”发生率,其次是基于丹麦髋关节置换登记处(DHR)的数据,在丹麦国家患者登记处(DNPR)的更新版本中验证先前开发的用于识别THA脱位的算法。
我们纳入了2019年7月1日至12月31日在DHR进行的5415例初次THA。DNPR第3版于2019年2月推出,结合DNPR的数据和对1762次医院接触的全面全国性审查,使我们能够识别THA后第1年发生的每一次脱位,以确定脱位的“真实”1年发生率。结果以比例和95%置信区间(CI)表示,并通过计算敏感性和预测值进行验证。
脱位的“真实”1年发生率为2.8%(CI 2.4 - 3.3)。其中,37%在随访期间出现复发性脱位。医院间差异范围为0.0%至9.6%。该算法显示敏感性接近95%,同时保持高于94%的阳性预测值。
2.8%的脱位“真实”1年发生率与早期研究结果相当,医院间的巨大差异仍然明显。我们已证明该算法在最新的DNPR(第3版)中有效,使其能够在未来年度DHR报告中用作新的质量指标。