Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, USA.
Clin Orthop Relat Res. 2021 Sep 1;479(9):1957-1967. doi: 10.1097/CORR.0000000000001745.
The association between preoperative prescription drug use (narcotics, sedatives, and stimulants) and complications and/or greater healthcare utilization (length of stay, discharge disposition, readmission, emergency department visits, and reoperation) after total joint arthroplasty has been established but not well quantified. The NarxCare score (NCS) is a weighted scalar measure of overall prescription opioid, sedative, and stimulant use. Higher scores reflect riskier drug-use patterns, which are calculated based on (1) the number of prescribing providers, (2) the number of dispensing pharmacies, (3) milligram equivalence doses, (4) coprescribed potentiating drugs, and (5) overlapping prescription days. The aforementioned factors have not been incorporated into association measures between preoperative prescription drug use and adverse events after THA. In addition, the utility of the NCS as a scalar measure in predicting post-THA complications has not been explored.
QUESTIONS/PURPOSES: (1) Is the NarxCare score (NCS) associated with 90-day readmission, reoperation, emergency department visits, length of stay, and discharge disposition after primary THA; and are there NCS thresholds associated with a higher risk for those adverse outcomes if such an association exists? (2) Is there an association between the type of preoperative active drug prescription and the aforementioned outcomes?
Of 3040 primary unilateral THAs performed between November 2018 and December 2019, 92% (2787) had complete baseline information and were subsequently included. The cohort with missing baseline information (NCS or demographic/racial determinants; 8%) had similar BMI distribution but slightly younger age and a lower Charlson Comorbidity Index (CCI). Outcomes in this retrospective study of a longitudinally maintained institutional database included 90-day readmissions (all-cause, procedure, and nonprocedure-related), reoperations, 90-day emergency department (ED) visits, prolonged length of stay (> 2 days), and discharge disposition (home or nonhome). The association between the NCS category and THA outcomes was analyzed through multivariable regression analyses and a confirmatory propensity score-matched comparison based on age, gender, race, BMI, smoking status, CCI, insurance status, preoperative diagnosis, and surgical approach, which removed significant differences at baseline. A similar regression model was constructed to evaluate the association between the type of preoperative active drug prescription (opioids, sedatives, and stimulants) and adverse outcomes after THA.
After controlling for potentially confounding variables like age, gender, race, BMI, smoking status, CCI, insurance status, preoperative diagnosis, and surgical approach, an NCS of 300 to 399 was associated with a higher odds of 90-day all-cause readmission (odds ratio 2.0 [95% confidence interval 1.1 to 3.3]; p = 0.02), procedure-related readmission (OR 3.3 [95% CI 1.4 to 7.9]; p = 0.006), length of stay > 2 days (OR 2.2 [95% CI 1.5 to 3.2]; p < 0.001), and nonhome discharge (OR 2.0 [95% CI 1.3 to 3.1]; p = 0.002). A score of 400 to 499 demonstrated a similar pattern, in addition to a higher odds of 90-day emergency department visits (OR 2.2 [95% CI 1.2 to 3.9]; p = 0.01). After controlling for potentially confounding variables like age, gender, race, BMI, smoking status, CCI, insurance status, preoperative diagnosis, and surgical approach, we found no clinically important association between an active opioid prescription and 90-day all-cause readmission (OR 1.002 [95% CI 1.001 to 1.004]; p = 0.05), procedure-related readmission (OR 1.003 [95% CI 1.001 to 1.006]; p = 0.02), length of stay > 2 days (OR 1.003 [95% CI 1.002 to 1.005]; p < 0.001), or nonhome discharge (OR 1.002 [95% CI 1.001 to 1.003]; p = 0.019); the large size of the database allowed us to find statistical associations, but the effect sizes are so small that the finding is unlikely to be clinically meaningful. A similarly small association that is unlikely to be clinically important was found between active sedative use and 90-day ED visits (OR 1.002 [95% CI 1.001 to 1.004]; p = 0.02).
Preoperative prescription drug use, as reflected by higher NCSs, has a dose-response association with adverse outcomes after THA. Surgeons may use the preoperative NCS to initiate and guide a patient-centered discussion regarding possible postoperative risks associated with prescription drug-use patterns (sedatives, opioids, or stimulants). An interdisciplinary approach can then be initiated to mitigate unfavorable patterns of prescription drug use and subsequently lower patient NCSs. However, given its nature and its reflection of drug-use patterns rather than patients' current health status, the NCS does not qualify as a basis for surgical denial or ineligibility.
Level III, diagnostic study.
术前处方药物使用(麻醉药、镇静剂和兴奋剂)与全膝关节置换术后并发症和/或更多的医疗保健利用(住院时间、出院去向、再入院、急诊就诊和再次手术)之间的关联已经确定,但尚未得到充分量化。NarxCare 评分(NCS)是一种衡量整体处方阿片类药物、镇静剂和兴奋剂使用的加权标量。较高的分数反映了风险更大的药物使用模式,这些模式是基于以下五个方面计算得出的:(1)开处方的提供者数量;(2)配药的药店数量;(3)毫克当量剂量;(4)同时开的增效药物;(5)重叠的处方天数。这些因素尚未纳入术前处方药物使用与 THA 后不良事件之间的关联措施中。此外,NCS 作为预测 THA 后并发症的标量测量工具的效用尚未得到探索。
问题/目的:(1)NarxCare 评分(NCS)是否与初次单侧全髋关节置换术后 90 天再入院、再次手术、急诊就诊、住院时间和出院去向有关;如果存在这种关联,是否存在与这些不良结局相关的 NCS 阈值,表明风险更高?(2)术前活性药物处方的类型与上述结果之间是否存在关联?
在 2018 年 11 月至 2019 年 12 月期间进行的 3040 例单侧初次全髋关节置换术中,92%(2787 例)具有完整的基线信息,随后被纳入研究。在未包含基线信息(NCS 或人口统计学/种族决定因素;8%)的队列中,BMI 分布相似,但年龄较小,Charlson 合并症指数(CCI)较低。本回顾性研究中,在一个纵向维护的机构数据库中,结果包括 90 天再入院(所有原因、手术和非手术相关)、再次手术、90 天急诊就诊、延长住院时间(>2 天)和出院去向(家庭或非家庭)。通过多变量回归分析和基于年龄、性别、种族、BMI、吸烟状况、CCI、保险状况、术前诊断和手术方式的确认倾向评分匹配比较,分析了 NCS 类别与 THA 结果之间的关联。该比较基于年龄、性别、种族、BMI、吸烟状况、CCI、保险状况、术前诊断和手术方式,消除了基线差异。类似的回归模型被构建来评估术前活性药物处方(阿片类药物、镇静剂和兴奋剂)的类型与 THA 后不良结局之间的关联。
在控制了年龄、性别、种族、BMI、吸烟状况、CCI、保险状况、术前诊断和手术方式等潜在混杂变量后,NCS 为 300 至 399 与 90 天全因再入院(比值比 2.0 [95%置信区间 1.1 至 3.3];p = 0.02)、手术相关再入院(比值比 3.3 [95%置信区间 1.4 至 7.9];p = 0.006)、住院时间>2 天(比值比 2.2 [95%置信区间 1.5 至 3.2];p<0.001)和非家庭出院(比值比 2.0 [95%置信区间 1.3 至 3.1];p = 0.002)的风险增加有关。NCS 为 400 至 499 也显示出类似的模式,此外还与 90 天急诊就诊的风险增加有关(比值比 2.2 [95%置信区间 1.2 至 3.9];p = 0.01)。在控制了年龄、性别、种族、BMI、吸烟状况、CCI、保险状况、术前诊断和手术方式等潜在混杂变量后,我们发现术前阿片类药物处方与 90 天全因再入院(比值比 1.002 [95%置信区间 1.001 至 1.004];p = 0.05)、手术相关再入院(比值比 1.003 [95%置信区间 1.001 至 1.006];p = 0.02)、住院时间>2 天(比值比 1.003 [95%置信区间 1.002 至 1.005];p<0.001)或非家庭出院(比值比 1.002 [95%置信区间 1.001 至 1.003];p = 0.019)之间没有明显的关联;数据库的规模很大,使我们能够发现统计学关联,但效应大小如此之小,以至于发现不太可能具有临床意义。术前镇静剂使用与 90 天急诊就诊之间也发现了一种关联,但临床意义不大(比值比 1.002 [95%置信区间 1.001 至 1.004];p = 0.02)。
THA 后不良结局与术前处方药物使用(NCS 升高)呈剂量反应关系。外科医生可以使用术前 NCS 来启动并指导患者讨论与药物使用模式(镇静剂、阿片类药物或兴奋剂)相关的术后风险。然后可以采用跨学科方法来减轻不利的药物使用模式,并降低患者的 NCS。然而,由于其性质及其反映的药物使用模式而不是患者当前的健康状况,NCS 不符合手术拒绝或无资格的依据。
III 级,诊断研究。