Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
JAMA Netw Open. 2024 May 1;7(5):e2414213. doi: 10.1001/jamanetworkopen.2024.14213.
Emergency department (ED) visits by older adults with life-limiting illnesses are a critical opportunity to establish patient care end-of-life preferences, but little is known about the optimal screening criteria for resource-constrained EDs.
To externally validate the Geriatric End-of-Life Screening Tool (GEST) in an independent population and compare it with commonly used serious illness diagnostic criteria.
DESIGN, SETTING, AND PARTICIPANTS: This prognostic study assessed a cohort of patients aged 65 years and older who were treated in a tertiary care ED in Boston, Massachusetts, from 2017 to 2021. Patients arriving in cardiac arrest or who died within 1 day of ED arrival were excluded. Data analysis was performed from August 1, 2023, to March 27, 2024.
GEST, a logistic regression algorithm that uses commonly available electronic health record (EHR) datapoints and was developed and validated across 9 EDs, was compared with serious illness diagnoses as documented in the EHR. Serious illnesses included stroke/transient ischemic attack, liver disease, cancer, lung disease, and age greater than 80 years, among others.
The primary outcome was 6-month mortality following an ED encounter. Statistical analyses included area under the receiver operating characteristic curve, calibration analyses, Kaplan-Meier survival curves, and decision curves.
This external validation included 82 371 ED encounters by 40 505 unique individuals (mean [SD] age, 76.8 [8.4] years; 54.3% women, 13.8% 6-month mortality rate). GEST had an external validation area under the receiver operating characteristic curve of 0.79 (95% CI, 0.78-0.79) that was stable across years and demographic subgroups. Of included encounters, 53.4% had a serious illness, with a sensitivity of 77.4% (95% CI, 76.6%-78.2%) and specificity of 50.5% (95% CI, 50.1%-50.8%). Varying GEST cutoffs from 5% to 30% increased specificity (5%: 49.1% [95% CI, 48.7%-49.5%]; 30%: 92.2% [95% CI, 92.0%-92.4%]) at the cost of sensitivity (5%: 89.3% [95% CI, 88.8-89.9]; 30%: 36.2% [95% CI, 35.3-37.1]). In a decision curve analysis, GEST outperformed serious illness criteria across all tested thresholds. When comparing patients referred to intervention by GEST with serious illness criteria, GEST reclassified 45.1% of patients with serious illness as having low risk of mortality with an observed mortality rate 8.1% and 2.6% of patients without serious illness as having high mortality risk with an observed mortality rate of 34.3% for a total reclassification rate of 25.3%.
The findings of this study suggest that both serious illness criteria and GEST identified older ED patients at risk for 6-month mortality, but GEST offered more useful screening characteristics. Future trials of serious illness interventions for high mortality risk in older adults may consider transitioning from diagnosis code criteria to GEST, an automatable EHR-based algorithm.
老年患者在生命末期到急诊科就诊是建立患者临终关怀偏好的重要机会,但对于资源有限的急诊科来说,最佳的筛选标准知之甚少。
在独立人群中对老年患者临终关怀筛查工具(GEST)进行外部验证,并将其与常用的严重疾病诊断标准进行比较。
设计、地点和参与者:这项预后研究评估了 2017 年至 2021 年期间在马萨诸塞州波士顿一家三级护理急诊科接受治疗的年龄在 65 岁及以上的患者队列。排除到达时处于心脏骤停或在急诊科到达后 1 天内死亡的患者。数据分析于 2023 年 8 月 1 日至 2024 年 3 月 27 日进行。
GEST 是一种逻辑回归算法,使用常见的电子健康记录(EHR)数据点开发和验证,涉及 9 个急诊科,与 EHR 中记录的严重疾病诊断进行比较。严重疾病包括中风/短暂性脑缺血发作、肝脏疾病、癌症、肺部疾病和年龄大于 80 岁等。
主要结果是急诊科就诊后 6 个月的死亡率。统计分析包括接收者操作特征曲线下面积、校准分析、Kaplan-Meier 生存曲线和决策曲线。
这项外部验证包括 82371 次急诊科就诊和 40505 名个体(平均[标准差]年龄 76.8[8.4]岁;54.3%女性,13.8%6 个月死亡率)。GEST 的外部验证接收者操作特征曲线下面积为 0.79(95%CI,0.78-0.79),在各年和各年龄组中均稳定。在纳入的就诊中,53.4%患有严重疾病,其敏感性为 77.4%(95%CI,76.6%-78.2%),特异性为 50.5%(95%CI,50.1%-50.8%)。将 GEST 切点从 5%调整到 30%,特异性(5%:49.1%[95%CI,48.7%-49.5%];30%:92.2%[95%CI,92.0%-92.4%])增加,而敏感性(5%:89.3%[95%CI,88.8%-89.9%];30%:36.2%[95%CI,35.3-37.1%])降低。在决策曲线分析中,GEST 在所有测试阈值上均优于严重疾病标准。当比较通过 GEST 转诊的患者与严重疾病标准时,GEST 将 45.1%患有严重疾病的患者重新分类为低死亡率风险,观察死亡率为 8.1%,将 2.6%没有严重疾病的患者重新分类为高死亡率风险,观察死亡率为 34.3%,总重新分类率为 25.3%。
这项研究的结果表明,严重疾病标准和 GEST 都能识别出有 6 个月死亡风险的老年急诊科患者,但 GEST 提供了更有用的筛查特征。未来针对老年高死亡率风险的严重疾病干预试验可能会考虑从诊断代码标准过渡到 GEST,这是一种自动化的基于 EHR 的算法。