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术前风险因素优化可降低初次全髋关节和膝关节置换术患者的住院时间和术后急诊就诊率。

Preoperative Risk Factor Optimization Lowers Hospital Length of Stay and Postoperative Emergency Department Visits in Primary Total Hip and Knee Arthroplasty Patients.

机构信息

Department of Orthopaedics & Rehabilitation, Center for Musculoskeletal Care, Yale University School of Medicine, Yale New Haven Health, New Haven, CT.

出版信息

J Arthroplasty. 2020 Jun;35(6):1508-1515.e2. doi: 10.1016/j.arth.2020.01.083. Epub 2020 Feb 7.

Abstract

BACKGROUND

The evaluation and management of outcomes risk has become an essential element of a modern total joint replacement program. Our multidisciplinary team designed an evidence-based tool to address modifiable risk factors for adverse outcomes after primary hip and knee arthroplasty surgery.

METHODS

Our protocols were designed to identify, intervene, and mitigate risk through evidence-based patient optimization. Nurse navigators screened patients preoperatively, identified and treated risk factors, and followed patients for 90 days postoperatively. We compared patients participating in our optimization program (N = 104) to both a historical cohort (N = 193) and a contemporary cohort (N = 166).

RESULTS

Risk factor identification and optimization resulted in lower hospital length of stay (LOS) and postoperative emergency department (ED) visits. Patients in the optimization cohort had a statistically significant decrease in mean LOS as compared to both the historical cohort (2.55 vs 1.81 days, P < .001) and contemporary cohort (2.56 vs 1.81 days, P < .001). Patients in the optimization cohort had a statistically significant decrease in 30- and 90-day ED visits compared to the historical cohort (P = .042, P = .003). When compared with the contemporary cohort, the optimization cohort had a statistically significant decrease in 90-day ED visits (21.08% vs 10.58%, P = .025). The optimization cohort had a statistically significant increase in the percentage of patients discharged home. We noted nonsignificant reductions in readmission rate, transfusion rate, and surgical site infections.

CONCLUSION

Optimization of patients before elective primary total hip arthroplasty and total knee arthroplasty reduced average LOS, ED visits, and drove telerehabilitation use. Our results add to the limited body of literature supporting this patient-centered approach.

摘要

背景

对术后结果风险的评估和管理已成为现代全关节置换项目的重要组成部分。我们的多学科团队设计了一种基于证据的工具,以解决初次髋关节和膝关节置换手术后不良结果的可改变风险因素。

方法

我们的方案旨在通过基于证据的患者优化来识别、干预和减轻风险。护士导航员在术前对患者进行筛查,确定并治疗风险因素,并在术后 90 天内对患者进行随访。我们将参与我们优化计划的患者(N=104)与历史队列(N=193)和当代队列(N=166)进行了比较。

结果

风险因素的识别和优化导致住院时间(LOS)和术后急诊部(ED)就诊减少。与历史队列(2.55 天比 1.81 天,P<.001)和当代队列(2.56 天比 1.81 天,P<.001)相比,优化队列的患者 LOS 均值有统计学显著降低。与历史队列相比(P=.042,P=.003),优化队列的 30 天和 90 天 ED 就诊次数有统计学显著减少。与当代队列相比,优化队列的 90 天 ED 就诊次数有统计学显著减少(21.08%比 10.58%,P=.025)。优化队列出院回家的患者比例有统计学显著增加。我们注意到,再入院率、输血率和手术部位感染率有下降但不显著。

结论

在择期初次全髋关节置换和全膝关节置换前对患者进行优化,降低了平均 LOS、ED 就诊次数,并推动了远程康复的使用。我们的结果增加了支持这种以患者为中心的方法的有限文献。

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