Menendez Mariano E, Baker Dustin K, Fryberger Charles T, Ponce Brent A
Orthopaedic Hand and Upper Extremity Service, Massachusetts General Hospital, Boston, MA, USA.
Division of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA; Medical University of South Carolina, College of Medicine, Charleston, SC, USA.
J Shoulder Elbow Surg. 2015 Oct;24(10):1527-33. doi: 10.1016/j.jse.2015.02.014. Epub 2015 Apr 10.
With policymakers and hospitals increasingly looking to cut costs, length of stay after surgery has come into focus as an area for improvement. Despite the increasing popularity of total shoulder arthroplasty, there is limited research about the factors contributing to prolonged hospital stay. We sought to identify preoperative and postoperative predictors of prolonged hospital stay in patients undergoing anatomic total shoulder arthroplasty (ATSA) and reverse total shoulder arthroplasty (RTSA).
Using the 2011 Nationwide Inpatient Sample, we identified an estimated 40,869 patients who underwent elective total shoulder arthroplasty (62.5% ATSA; 37.5% RTSA) and separated them into those with normal length of stay (<75th percentile) and prolonged length of stay (>75th percentile). Multivariate logistic regression modeling was performed to identify factors associated with prolonged length of stay.
Patient-level factors associated with prolonged length of stay common to patients undergoing ATSA or RTSA included increasing age, female sex, congestive heart failure, renal failure, chronic pulmonary disease, and preoperative anemia. Provider-related factors were lower volume and location in the South or Northeast. Postoperative complications showed a significant influence as well.
Our data can be used to promptly identify patients at higher risk of prolonged hospitalization after elective shoulder arthroplasty and to ultimately improve quality of care and cost containment.
随着政策制定者和医院越来越希望削减成本,术后住院时间已成为一个需要改进的重点领域。尽管全肩关节置换术越来越普及,但关于导致住院时间延长的因素的研究却很有限。我们试图确定接受解剖型全肩关节置换术(ATSA)和反式全肩关节置换术(RTSA)患者住院时间延长的术前和术后预测因素。
利用2011年全国住院患者样本,我们确定了约40869例行择期全肩关节置换术的患者(62.5%为ATSA;37.5%为RTSA),并将他们分为住院时间正常(<第75百分位数)和住院时间延长(>第75百分位数)两组。进行多因素逻辑回归建模以确定与住院时间延长相关的因素。
ATSA或RTSA患者住院时间延长的患者层面因素包括年龄增加、女性、充血性心力衰竭、肾衰竭、慢性肺病和术前贫血。与医疗服务提供者相关的因素是手术量较低以及位于南部或东北部。术后并发症也有显著影响。
我们的数据可用于及时识别择期肩关节置换术后住院时间延长风险较高的患者,并最终提高医疗质量和控制成本。