The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Schulich School of Medicine, University of Western Ontario, London, ON, Canada.
BMC Geriatr. 2023 Jan 11;23(1):15. doi: 10.1186/s12877-022-03623-1.
In the era of virtual care, self-reported tools are beneficial for preoperative assessments and facilitating postoperative planning. We have previously reported the use of the Edmonton Frailty Scale (EFS) as a valid preoperative assessment tool.
We wished to validate the self-reported domains of the EFS (srEFS) by examining its association with loss of independence (LOI) and mortality.
This is a post-hoc analysis of a single-institution observational study of patients 65 years of age or older undergoing multi-specialty surgical procedures and assessed with the EFS in the preoperative setting. Exploratory data analysis was used to determine the threshold for identifying frailty using the srEFS. Procedures were classified using the Operative Stress Score (OSS) scored 1 to 5 (lowest to highest). Hierarchical Condition Category (HCC) was utilized to risk-adjust. LOI was described as requiring more support at discharge and mortality was defined as death occurring up to 30 days following surgery. Receiver operating characteristic (ROC) curves were used to determine the ability of the srEFS to predict the outcomes of interest in relation to the EFS.
Five hundred thirty-five patients were included. Exploratory analysis confirmed best positive predictive value for srEFS was greater or equal to 5. Overall, 113 (21 percent) patients were considered high risk for frailty (HRF) and 179 (33 percent) patients had an OSS greater or equal to 5. LOI occurred in 7 percent (38 patients) and the mortality rate was 4 percent (21 patients). ROC analysis showed that the srEFS performed similar to the standard EFS with no difference in discriminatory thresholds for predicting LOI and mortality. Examination of the domains of the EFS not included in the srEFS demonstrated a lack of association between cognitive decline and the outcomes of interest. However, functional status assessed with either the Get up and Go (EFS only) or self-reported ADLs was independently associated with increased risk for LOI.
This study shows that self-reported EFS may be an optional preoperative tool that can be used in the virtual setting to identify patients at HRF. Early identification of patients at risk for LOI and mortality provides an opportunity to implement targeted strategies to improve patient care.
在虚拟护理时代,自我报告工具有利于术前评估和促进术后计划。我们之前曾报告过使用埃德蒙顿虚弱量表(EFS)作为有效的术前评估工具。
我们希望通过检查 EFS 的自我报告领域(srEFS)与独立丧失(LOI)和死亡率的相关性来验证其有效性。
这是对一个机构观察性研究的事后分析,该研究纳入了 65 岁或以上接受多专科手术的患者,并在术前使用 EFS 进行评估。使用探索性数据分析确定使用 srEFS 识别虚弱的阈值。手术根据操作应激评分(OSS)分类为 1 至 5 分(最低到最高)。分层条件类别(HCC)用于风险调整。LOI 描述为出院时需要更多支持,死亡率定义为手术后 30 天内死亡。接收者操作特征(ROC)曲线用于确定 srEFS 预测与 EFS 相关的感兴趣结果的能力。
共纳入 535 例患者。探索性分析证实,srEFS 的最佳阳性预测值大于或等于 5。总体而言,113 例(21%)患者被认为存在虚弱高风险(HRF),179 例(33%)患者的 OSS 大于或等于 5。LOI 发生率为 7%(38 例),死亡率为 4%(21 例)。ROC 分析显示,srEFS 的表现与标准 EFS 相似,对预测 LOI 和死亡率的判别阈值没有差异。对 EFS 中不包括的各领域进行检查表明,认知能力下降与感兴趣的结果之间没有关联。然而,无论是使用 EFS 评估的“起床和行走”(EFS 仅)还是自我报告的 ADL,功能状态都与 LOI 的风险增加独立相关。
本研究表明,自我报告的 EFS 可能是一种可选的术前工具,可在虚拟环境中使用,以识别虚弱高风险患者。早期识别 LOI 和死亡率风险患者为实施有针对性的策略改善患者护理提供了机会。