• Am J Emerg Med · Jan 2017

    Observational Study

    Cardiology consultation reduces provocative testing rates in an ED observation unit.

    • Troy Madsen, Cameron Smyres, Talmage Wood, Tamara Moores, Matthew Fuller, Virgil Davis, and Kurt Bernhisel.
    • University of Utah School of Medicine, Salt Lake City, UT. Electronic address: troy.madsen@hsc.utah.edu.
    • Am J Emerg Med. 2017 Jan 1; 35 (1): 25-28.

    BackgroundIn evaluating patients with chest pain, emergency department observation units (EDOUs) may use a staffing model in which emergency physicians determine patient testing (EP model) or a model similar to a chest pain unit (CPU) in which cardiologists determine provocative testing (CPU model).MethodsWe performed a prospective study with 30-day telephone follow-up for all chest pain patients placed in our EDOU. Halfway through the study period, our EDOU transitioned from an EP model to a CPU model. We compared provocative testing rates and outcomes between the 2 models.ResultsOver the 34-month study period, our EDOU evaluated 1190 patients for chest pain. Patients placed in the EDOU during the 17-month CPU model were more likely to be moderate risk (Thrombolysis in Myocardial Infarction score 3-5) than those during the 17-month EP model: 24.9% vs 18.8%, P = .011. Despite this difference, rates of provocative testing (stress testing or coronary computed tomography) were lower during the CPU model: 47.1% vs 56.5%, P = .001. This reduction was particularly evident among low-risk patients (Thrombolysis in Myocardial Infarction score 0-2): 49.8% vs 58.1%, P = .011. Rates of myocardial infarction, percutaneous coronary intervention, or coronary artery bypass graft were similar between the 2 groups (2.8% vs 3.2%, P = .140). We noted no significant events or missed diagnoses in either group during the 30-day follow-up.ConclusionAn EDOU model that used mandatory cardiology consultation resulted in decreased provocative testing, particularly among low-risk chest pain patients. Future research should explore the cost-effectiveness of this model.Copyright © 2016 Elsevier Inc. All rights reserved.

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