Anis Hiba K, Sodhi Nipun, Coste Marine, Ehiorobo Joseph O, Newman Jared M, Garbarino Luke J, Gold Peter, Freund Benjamin, Piuzzi Nicolas, Mont Michael A
Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Department of Orthopaedic Surgery, Lenox Hill Hospital, Northwell Health, New York, NY, USA.
Ann Transl Med. 2019 Feb;7(4):78. doi: 10.21037/atm.2019.01.64.
Elective total hip arthroplasties (THAs) entail a more extensive pre-operative planning process compared to non-elective THAs and this may contribute to a disparity in outcomes. However, the differences in peri- and post-operative outcomes between elective and non-elective THAs remain unclear. Therefore, the purpose of this study was to: (I) determine nationwide trends in operative times and (II) evaluate the association between surgery type, elective or non-elective with respect to (I) operative times; (II) hospital lengths-of-stay (LOS); (III) discharge disposition; (IV) 30-day post-operative complications; (V) reoperations; and (VI) readmissions.
The NSQIP database was queried for all primary THAs (CPT code 27130) performed between 2011 and 2016. This yielded 130,261 cases, which were then stratified into elective (n=125,293) and non-elective (n=4,968) cases. One-way analysis of variance (ANOVA) were used to evaluate the associations between operative times and surgery year. Univariate analyses of surgery type with the following outcomes of interest were also performed: operative times, LOS, and discharge disposition as well as 30-day complication, reoperation, and readmission rates. A multiple linear regression model was used to evaluate the relationships of operative times and LOS with surgery types after adjusting for surgery year and patient factors [age, sex, body mass index (BMI), and American Society of Anesthesiologists (ASA) score]. A log-transformed dependent variable was used to calculate the percentage difference in mean operative times and LOS. Multivariate logistic regression models adjusted for patient factors and year of surgery were used to evaluate associations of surgery type with complication, reoperation, and readmission rates.
Over the 6-year period, mean operative times (93 103 minutes, P<0.001) and LOS (3 6 days, P<0.001) were significantly shorter in elective cases compared to non-elective cases. The relationships between operative times or LOS and surgery type remained significant even after adjusting for age, sex, BMI, ASA, and year of surgery (P<0.001). Compared to the non-elective cohort, patients in the elective cohort were more likely to be discharged home (74% 69%, P<0.001). Elective patients had lower rates of several 30-day complications including deep SSI (P<0.001), transfusions (P<0.001), sepsis (P<0.001), and readmission (P<0.005) compared to non-elective patients. These associations remained significant after accounting for potential confounders with multivariate logistic regression.
Findings from this study showed that elective THAs, in which there is more potential for pre-operative planning, were associated with shorter operative times and LOS, as well as fewer complication and readmission rates. These results likely reflect the development of more efficient surgical techniques and improved pre- and intra-operative planning guides.
与非选择性全髋关节置换术(THA)相比,选择性全髋关节置换术需要更广泛的术前规划过程,这可能导致结果出现差异。然而,选择性和非选择性THA在围手术期和术后结果方面的差异仍不明确。因此,本研究的目的是:(I)确定全国范围内手术时间的趋势;(II)评估手术类型(选择性或非选择性)与以下方面的关联:(I)手术时间;(II)住院时间(LOS);(III)出院处置;(IV)术后30天并发症;(V)再次手术;以及(VI)再入院。
查询2011年至2016年间进行的所有初次THA(CPT编码27130)的NSQIP数据库。这产生了130,261例病例,然后将其分为选择性病例(n = 125,293)和非选择性病例(n = 4,968)。使用单因素方差分析(ANOVA)评估手术时间与手术年份之间的关联。还对手术类型与以下感兴趣的结果进行了单因素分析:手术时间、LOS、出院处置以及30天并发症、再次手术和再入院率。在调整手术年份和患者因素(年龄、性别、体重指数(BMI)和美国麻醉医师协会(ASA)评分)后,使用多元线性回归模型评估手术时间和LOS与手术类型之间的关系。使用对数转换后的因变量来计算平均手术时间和LOS的百分比差异。使用调整了患者因素和手术年份的多因素逻辑回归模型来评估手术类型与并发症、再次手术和再入院率之间的关联。
在6年期间,与非选择性病例相比,选择性病例的平均手术时间(93±103分钟,P<0.001)和LOS(3±6天,P<0.001)明显更短。即使在调整年龄、性别、BMI、ASA和手术年份后,手术时间或LOS与手术类型之间的关系仍然显著(P<0.001)。与非选择性队列相比,选择性队列中的患者更有可能出院回家(74%±69%,P<0.001)。与非选择性患者相比,选择性患者的几种30天并发症发生率较低,包括深部手术部位感染(P<0.001)、输血(P<0.001)、败血症(P<0.001)和再入院(P<0.005)。在使用多因素逻辑回归考虑潜在混杂因素后,这些关联仍然显著。
本研究结果表明,有更多术前规划潜力的选择性THA与更短的手术时间和LOS以及更低的并发症和再入院率相关。这些结果可能反映了更高效手术技术的发展以及术前和术中规划指南的改进。