Duke University School of Medicine, Duke University Medical Center Greenspace, Durham, North Carolina.
Department of Orthopaedic Surgery, Duke University Medical Center, Durham, North Carolina.
J Arthroplasty. 2018 Jan;33(1):25-29. doi: 10.1016/j.arth.2017.08.008. Epub 2017 Aug 18.
Patient demand and increasing cost awareness have led to the creation of surgical risk calculators that attempt to predict the likelihood of adverse events and to facilitate risk mitigation. The American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator is an online tool available for a wide variety of surgical procedures, and has not yet been fully evaluated in total joint arthroplasty.
A single-center, retrospective review was performed on 909 patients receiving a unilateral primary total knee (496) or hip (413) arthroplasty between January 2012 and December 2014. Patient characteristics were entered into the risk calculator, and predicted outcomes were compared with observed results. Discrimination was evaluated using the receiver-operator area under the curve (AUC) for 90-day readmission, return to operating room (OR), discharge to skilled nursing facility (SNF)/rehab, deep venous thrombosis (DVT), and periprosthetic joint infection (PJI).
The risk calculator demonstrated adequate performance in predicting discharge to SNF/rehab (AUC 0.72). Discrimination was relatively limited for DVT (AUC 0.70, P = .2), 90-day readmission (AUC 0.63), PJI (AUC 0.67), and return to OR (AUC 0.59). Risk score differences between those who did and did not experience discharge to SNF/rehab, 90-day readmission, and PJI reached significance (P < .01). Predicted length of stay performed adequately, only overestimating by 0.2 days on average (rho = 0.25, P < .001).
The American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator has fair utility in predicting discharge to SNF/rehab, but limited usefulness for 90-day readmission, return to OR, DVT, and PJI. Although length of stay predictions are similar to actual outcomes, statistical correlation remains relatively weak.
患者需求和成本意识的提高促使外科风险计算器的出现,这些计算器旨在预测不良事件的发生概率,并帮助降低风险。美国外科医师学会国家外科质量改进计划外科风险计算器是一个适用于多种外科手术的在线工具,但尚未在全关节置换术中得到充分评估。
对 2012 年 1 月至 2014 年 12 月期间接受单侧初次全膝关节(496 例)或髋关节(413 例)置换术的 909 例患者进行了单中心回顾性研究。将患者特征输入风险计算器,并将预测结果与实际结果进行比较。使用 90 天内再入院、重返手术室(OR)、入住康复护理院(SNF)/康复中心、深静脉血栓形成(DVT)和假体周围关节感染(PJI)的受试者工作特征曲线(AUC)评价鉴别能力。
风险计算器在预测 SNF/康复中心出院方面表现出良好的性能(AUC 为 0.72)。DVT(AUC 为 0.70,P=0.2)、90 天内再入院(AUC 为 0.63)、PJI(AUC 为 0.67)和重返 OR(AUC 为 0.59)的鉴别能力相对有限。经历 SNF/康复中心出院、90 天内再入院和 PJI 的患者与未经历这些情况的患者之间的风险评分差异具有统计学意义(P<0.01)。预测的住院时间表现良好,平均仅高估 0.2 天(rho=0.25,P<0.001)。
美国外科医师学会国家外科质量改进计划外科风险计算器在预测 SNF/康复中心出院方面具有一定的实用性,但在 90 天内再入院、重返 OR、DVT 和 PJI 方面的作用有限。虽然住院时间的预测与实际结果相似,但统计相关性仍然较弱。