Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, Texas.
J Arthroplasty. 2023 Jul;38(7):1238-1244. doi: 10.1016/j.arth.2023.01.003. Epub 2023 Jan 7.
Musculoskeletal care teams can benefit from simple, standardized, and reliable preoperative tools for assessing discharge disposition after total joint arthroplasty. Our objective was to compare the predictive strength of the Ascension Seton Lower Extremity Inpatient-Outpatient (LET-IN-OUT) tool versus the American Society of Anesthesiologists Physical Status (ASA-PS) score for predicting early postoperative discharge.
We retrospectively extracted sociodemographic, surgical admission, postoperative day (POD) of discharge, 90-day readmissions, and predictions of the LET-IN-OUT and ASA-PS tools from the electronic records of 563 consecutive hip or knee arthroplasty patients (mean age 65 [SD 9.6], 54% women). Included patients who underwent a total hip arthroplasty (THA) or total knee arthroplasty (TKA) at a single health system between June 2020 and March 2021. We performed descriptive statistics and analyzed predictive values of each tool, defining "early discharge" primarily as discharge before the second postoperative day (POD 2), and secondarily as before 24 hours, and on the same calendar day (POD 0) as surgery.
The LET-IN-OUT tool demonstrated superior predictive power among hip and knee arthroplasty patients compared to the ASA-PS tool for discharge prior to POD 2 (positive predictive value [PPV] 89 versus 83%, positive likelihood ratio [+LR] 2.0 versus 1.2), discharge before 24 hours (PPV 86 versus 70%, +LR 2.9 versus 1.2), and discharge on POD 0 (PPV 34% versus 30%, +LR 1.2 versus 1.1).
The Ascension Seton Lower Extremity Inpatient-Outpatient tool predicted patients suitable for early discharge following THA or TKA and did so more effectively than the ASA-PS score.
肌骨系统护理团队在评估全关节置换术后出院去向时,可受益于简单、标准化且可靠的术前工具。我们的目的是比较 Ascension Seton 下肢住院-门诊(LET-IN-OUT)工具与美国麻醉医师协会身体状况(ASA-PS)评分预测术后早期出院的预测能力。
我们回顾性地从 2020 年 6 月至 2021 年 3 月期间在单一健康系统中接受全髋关节置换术(THA)或全膝关节置换术(TKA)的 563 例连续髋或膝关节置换术患者的电子病历中提取社会人口统计学、手术入院、术后出院日(POD)、90 天再入院和 LET-IN-OUT 和 ASA-PS 工具的预测值。纳入的患者为在单一健康系统中接受全髋关节置换术(THA)或全膝关节置换术(TKA)的患者。我们进行了描述性统计分析,并分析了每个工具的预测值,将“早期出院”主要定义为术后第 2 天(POD2)前出院,其次为 24 小时内出院,或与手术同日(POD0)出院。
与 ASA-PS 工具相比,在髋膝关节置换术患者中,LET-IN-OUT 工具在 POD2 前、24 小时内和 POD0 出院方面的预测能力均优于 ASA-PS 工具(阳性预测值 [PPV]:89%比 83%,阳性似然比 [+LR]:2.0 比 1.2)。
Ascension Seton 下肢住院-门诊工具可预测 THA 或 TKA 后适合早期出院的患者,且其预测效果优于 ASA-PS 评分。