Osborne Thomas F, Suarez Paola, Edwards Donna, Hernandez-Boussard Tina, Curtin Catherine
Palo Alto Veterans Hospital, Palo Alto, California.
Departments of Surgery (P.S. and C.C.), Medicine (T.H.-B.), and Radiology (T.F.O.), Stanford University, Stanford, California.
JB JS Open Access. 2020 May 6;5(2):e0061. doi: 10.2106/JBJS.OA.19.00061. eCollection 2020 Apr-Jun.
Current preoperative risk assessment tools are often cumbersome, have limited accuracy, and are poorly adopted. The Care Assessment Need (CAN) score, an existing tool developed for primary care providers in the U.S. Veterans Administration health-care system (VA), is automatically calculated for individual patients using electronic health record data. Therefore, it could present an efficient preoperative risk assessment tool. The aim of this project was to determine if the CAN score can be repurposed as a preoperative risk assessment tool for patients undergoing total knee arthroplasty (TKA).
A multicenter retrospective observational study was conducted using national VA data from 2013 to 2016. The cohort included veterans who underwent TKA identified through ICD-9 (International Classification of Diseases, Ninth Revision), ICD-10, and CPT (Current Procedural Terminology) codes. The focus of the study was the preoperative patient CAN score, a single numerical value ranging from 0 to 99 (with a higher score representing greater risk) that is automatically calculated each week using multiple data points in the VA electronic health record. Study outcomes of interest were 90-day readmission, prolonged hospital stay (>5 days), 1-year mortality, and non-routine patient discharge.
The study included 17,210 veterans. Their median preoperative CAN score was 75, although there was substantial variability in patient CAN scores among different facilities. A preoperative CAN score of >75 was significantly associated with mortality (odds ratio [OR] = 3.54), prolonged length of stay (OR = 1.97), 90-day readmission (OR = 1.65), and non-routine discharge (OR = 1.57). The CAN score had good accuracy with a receiver operating characteristic (ROC) curve value of >0.7 for all outcomes except 90-day readmission.
The CAN score can be leveraged as an extremely efficient way to risk-stratify patients before TKA, with results that surpass other commonly available and labor-intensive alternatives. As a result, this simple and efficient solution is well positioned for broad adoption as a standardized decision support tool.
Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.
当前的术前风险评估工具通常繁琐、准确性有限且应用不佳。护理需求评估(CAN)评分是为美国退伍军人事务部(VA)医疗系统的初级护理提供者开发的一种现有工具,它使用电子健康记录数据为个体患者自动计算。因此,它可能是一种高效的术前风险评估工具。本项目的目的是确定CAN评分是否可以重新用作全膝关节置换术(TKA)患者的术前风险评估工具。
使用2013年至2016年的国家VA数据进行了一项多中心回顾性观察研究。该队列包括通过ICD-9(国际疾病分类,第九版)、ICD-10和CPT(当前手术操作术语)代码识别的接受TKA的退伍军人。研究重点是术前患者的CAN评分,这是一个从0到99的单一数值(分数越高表示风险越大),每周使用VA电子健康记录中的多个数据点自动计算得出。感兴趣的研究结果包括90天再入院、住院时间延长(>5天)、1年死亡率和非常规患者出院。
该研究纳入了17210名退伍军人。他们术前CAN评分的中位数为75,尽管不同医疗机构的患者CAN评分存在很大差异。术前CAN评分>75与死亡率(优势比[OR]=3.54)、住院时间延长(OR=1.97)、90天再入院(OR=1.65)和非常规出院(OR=1.57)显著相关。除90天再入院外,CAN评分对所有结果的受试者工作特征(ROC)曲线值>0.7,具有良好的准确性。
CAN评分可作为TKA术前对患者进行风险分层的一种极其有效的方法,其结果优于其他常用且耗费人力的方法。因此,这个简单有效的解决方案有望作为标准化决策支持工具被广泛采用。
预后IV级。有关证据水平的完整描述,请参阅作者指南。