Collins Sean P, Jenkins Cathy A, Harrell Frank E, Liu Dandan, Miller Karen F, Lindsell Christopher J, Naftilan Allen J, McPherson John A, Maron David J, Sawyer Douglas B, Weintraub Neal L, Fermann Gregory J, Roll Susan K, Sperling Matthew, Storrow Alan B
Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee.
Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
JACC Heart Fail. 2015 Oct;3(10):737-47. doi: 10.1016/j.jchf.2015.05.007.
No prospectively derived or validated decision tools identify emergency department (ED) patients with acute heart failure (AHF) at low risk for 30-day adverse events who are thus potential candidates for safe ED discharge. This study sought to accomplish that goal.
The nearly 1 million annual ED visits for AHF are associated with high proportions of admissions and consume significant resources.
We prospectively enrolled 1,033 patients diagnosed with AHF in the ED from 4 hospitals between July 20, 2007, and February 4, 2011. We used an ordinal outcome hierarchy, defined as the incidence of the most severe adverse event within 30 days of ED evaluation (acute coronary syndrome, coronary revascularization, emergent dialysis, intubation, mechanical cardiac support, cardiopulmonary resuscitation, and death).
Of 1,033 patients enrolled, 126 (12%) experienced at least one 30-day adverse event. The decision tool had a C statistic of 0.68 (95% confidence interval: 0.63 to 0.74). Elevated troponin (p < 0.001) and renal function (p = 0.01) were significant predictors of adverse events in our multivariable model, whereas B-type natriuretic peptide (p = 0.09), tachypnea (p = 0.09), and patients undergoing dialysis (p = 0.07) trended toward significance. At risk thresholds of 1%, 3%, and 5%, we found 0%, 1.4%, and 13.0% patients were at low risk, with negative predictive values of 100%, 96%, and 93%, respectively.
The STRATIFY decision tool identifies ED patients with AHF who are at low risk for 30-day adverse events and may be candidates for safe ED discharge. After external testing, and perhaps when used as part of a shared decision-making strategy, it may significantly affect disposition strategies. (Improving Heart Failure Risk Stratification in the ED [STRATIFY]; NCT00508638).
目前尚无前瞻性得出或经过验证的决策工具可识别出急诊科(ED)中急性心力衰竭(AHF)且30天不良事件风险较低的患者,而这类患者有可能安全地从急诊科出院。本研究旨在实现这一目标。
每年因AHF前往急诊科就诊的患者近100万,其中很大一部分会住院,耗费大量资源。
2007年7月20日至2011年2月4日期间,我们从4家医院前瞻性纳入了1033例在急诊科被诊断为AHF的患者。我们采用了一种有序结局层次结构,定义为急诊科评估后30天内最严重不良事件的发生率(急性冠状动脉综合征、冠状动脉血运重建、紧急透析、插管、机械心脏支持、心肺复苏和死亡)。
在纳入的1033例患者中,126例(12%)经历了至少一次30天不良事件。该决策工具的C统计量为0.68(95%置信区间:0.63至0.74)。在我们的多变量模型中,肌钙蛋白升高(p<0.001)和肾功能(p=0.01)是不良事件的显著预测因素,而B型利钠肽(p=0.09)、呼吸急促(p=0.09)和接受透析的患者(p=0.07)有显著趋势。在1%、3%和5%的风险阈值下,我们发现分别有0%、1.4%和13.0%的患者风险较低,阴性预测值分别为100%、96%和93%。
STRATIFY决策工具可识别出急诊科中AHF且30天不良事件风险较低的患者,这些患者可能是安全从急诊科出院的候选者。经过外部测试后,或许作为共同决策策略的一部分使用时,它可能会显著影响处置策略。(急诊科改善心力衰竭风险分层[STRATIFY];NCT00508638)