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Impact of Alternative Coding Schemes on Incidence Rates of Key Complications After Total Hip Arthroplasty

机译:全髋关节置换术后替代编码方案对关键并发症发生率的影响

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摘要

Background: Administrative data are commonly used to examine orthopedic outcomes including total hip arthroplasty (THA), but little is known about how minor analytic decisions impact results. Our objective was to examine how the rates of 3 adverse outcomes (deep vein thrombosis [DVT], pulmonary embolism [PE], and hemorrhage) varied with subtle adjustments to our analytic method. Methods: We used Medicare Part A data to identify all beneficiaries who underwent primary or revision THA during 2007 to 2008. We used 2 published algorithms (Katz/Cram and Patient Safety Indicators [PSIs]) to identify cases of DVT, PE, and hemorrhage occurring at 3 different points in time; index admission; 30-day readmission; and index admission plus readmission. We used the kappa statistic to compare the agreement between methods. We examined variation in complication rates across hospitals using regression models that adjusted for differences in patient demographics and comorbidity. Results: Among 202 773 primary and 40 973 revision THA patients, the agreement between the Katz/Cram and PSI methods was excellent for DVT and PE at all time points (kappa 0.95-1.0) but poor for hemorrhage (kappa 0.07-0.29). The incidence of DVT during the index admission among the primary THA cohort was 0.40% using the Katz/Cram method and 0.37% using the PSI method. The incidence of hemorrhage during the index admission among the primary THA cohort was 1.29% using the Katz/Cram method and 0.05% using the PSI method. We found significant variation in hospital rates of all 3 complications (DVT, PE, and hemorrhage). For example, the mean rate of hemorrhage at index admission or readmission for revision THA was 5.7% (standard deviation: 12.8%); we found 137 hospitals with hemorrhage rates of 25% or higher among their revision THA patients. Discussion: We found important differences in the rates of THA complications depending upon the coding algorithms and time frame employed. Our results suggest that administrative data can be used to evaluate THA complications but that methodology should be carefully considered.
机译:背景:行政数据通常用于检查包括全髋关节置换术(THA)在内的整形外科结果,但对于较小的分析决策如何影响结果知之甚少。我们的目的是研究在对我们的分析方法进行微调的情况下,三种不良结局(深静脉血栓形成[DVT],肺栓塞[PE]和出血)的发生率如何变化。方法:我们使用Medicare Part A数据来识别2007年至2008年期间接受过原发性THA或修订THA的所有受益人。我们使用了两种已发布的算法(Katz / Cram和患者安全指标[PSI])来识别DVT,PE和出血病例发生在3个不同的时间点;指数入场30天再入院;和索引入场再入场。我们使用kappa统计量来比较方法之间的一致性。我们使用回归模型检查了医院间并发症发生率的差异,该模型针对患者人口统计学和合并症的差异进行了调整。结果:在202773例原发性THA和40973例修订的THA患者中,Katz / Cram和PSI方法之间的一致性在所有时间点对DVT和PE均极好(kappa 0.95-1.0),但对出血的不良性(kappa 0.07-0.29)。使用Katz / Cram方法,在主要THA队列中,入院期间DVT的发生率为0.40%,使用PSI方法为0.37%。使用Katz / Cram方法进行的原发性THA队列中入院期间出血的发生率为1.29%,使用PSI方法为0.05%。我们发现所有三种并发症(DVT,PE和出血)的住院率均存在显着差异。例如,修订版THA在入院或再入院时的平均出血率为5.7%(标准差:12.8%);我们发现137例修订THA患者中的出血率为25%或更高的医院。讨论:我们发现THA并发症的发生率存在重要差异,具体取决于所采用的编码算法和时间范围。我们的结果表明,行政数据可用于评估THA并发症,但应谨慎考虑方法。

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