Davis William T, Lospinso Josh, Barnwell Robert M, Hughes John, Schauer Steven G, Smith Thomas B, April Michael D
Department of Emergency Medicine, San Antonio Uniformed Services Health Education Consortium, San Antonio, TX, United States.
Portia Statistical Consulting LLC, San Antonio, TX, United States.
Am J Emerg Med. 2017 Aug;35(8):1111-1117. doi: 10.1016/j.ajem.2017.03.013. Epub 2017 Mar 10.
We evaluated a soft tissue oxygen saturation (Sto2) measurement at triage for predicting admission to the hospital in adults presenting to the emergency department (ED) in addition to data routinely gathered at triage.
This was a prospective, observational, single center study of adults presenting to the ED for evaluation. Research assistants obtained thenar eminence Sto2 measurements on subjects in ED triage. ED providers not involved in the study then made all management and disposition decisions. We prospectively collected data on each subject's final ED disposition (admission versus discharge). We identified the optimal Sto2 cutoff value for predicting admission. We then used logistic regression modeling to describe the added predictive value of Sto2 beyond routinely collected triage data including Emergency Severity Index level, age, and vital signs.
We analyzed 2588 adult (>17years) subjects with 743 subjects (28.7%) admitted to the hospital. Sto2<76% was the optimal diagnostic cutoff for predicting admission. Of subjects with Sto2<76%, 158 of 384 (41.1%) underwent admission versus 585 of 2204 (26.5%) subjects with Sto2≥76. After controlling for age, vital signs, and ESI level in the logistic regression analysis, Sto2<76% had an odds ratio of 1.54 (95% confidence interval (CI), 1.19 to 1.98) for predicting admission.
Sto2 may provide additional prognostic data to routine triage assessment regarding the disposition for undifferentiated adult patients presenting to the ED.
我们评估了在分诊时测量软组织氧饱和度(Sto2),以预测急诊科(ED)就诊的成年患者住院情况,同时分析了分诊时常规收集的数据。
这是一项对到急诊科就诊的成年患者进行的前瞻性、观察性、单中心研究。研究助理在急诊科分诊时测量受试者大鱼际的Sto2。未参与该研究的急诊科医护人员随后做出所有管理和处置决定。我们前瞻性收集了每个受试者最终的急诊科处置情况(住院或出院)数据。我们确定了预测住院的最佳Sto2临界值。然后,我们使用逻辑回归模型来描述Sto2相对于常规收集的分诊数据(包括急诊严重程度指数水平、年龄和生命体征)的额外预测价值。
我们分析了2588名成年(>17岁)受试者,其中743名(28.7%)住院。Sto2<76%是预测住院的最佳诊断临界值。Sto2<76%的受试者中,384名中有158名(41.1%)住院,而Sto2≥76%的2204名受试者中有585名(26.5%)住院。在逻辑回归分析中,在控制年龄、生命体征和急诊严重程度指数水平后,Sto2<76%预测住院的比值比为1.54(95%置信区间(CI),1.19至1.98)。
对于到急诊科就诊的未分化成年患者的处置,Sto2可能为常规分诊评估提供额外的预后数据。