Literature DB >> 28719490

Identification of Hypotensive Emergency Department Patients with Cardiogenic Etiologies.

Daniel J Henning1, Kathleen E Kearney2, Michael Kennedy Hall1, Claudius Mahr2, Nathan I Shapiro3,4, Graham Nichol1,5.   

Abstract

OBJECTIVE: Identify predictors of cardiogenic etiology among emergency department (ED) patients with hypotension, and use these predictors to create a clinical tool to discern cardiogenic etiology of hypotension.
METHODS: This secondary analysis evaluated a prospective cohort of consecutive patients with hypotension in an urban, academic, tertiary care ED from November 2012 to September 2013. We included adults with hypotension, defined as a new vasopressor requirement, systolic blood pressure (SBP) < 90 mm Hg after at least 1 L of crystalloid or 2 units packed red blood cells, or SBP < 90 mm Hg and fluids withheld due to concern for fluid overload. The primary outcome was cardiogenic etiology, adjudicated by two physician chart review, with 25% paired chart review (kappa = 0.92). We used multivariable logistic regression to predict cardiogenic etiology, utilizing clinical data abstracted from the electronic medical record. We created a prediction score from significant covariates and calculated its test characteristics for cardiogenic hypotension.
RESULTS: Of 700 patients with hypotension, 107 (15.3%, 95% CI: 12.6%-18.0%) had cardiogenic etiology. Independent predictors of cardiogenic etiology were shortness of breath (OR 4.1, 95% CI: 2.5-6.7), troponin > 0.1 ng/mL (37.5, 7.1-198.2), electrocardiographic ischemia (8.9, 4.0-19.8), history of heart failure (2.0, 1.1-3.3), and absence of fever (4.5, 2.3-8.7) (area under the curve [AUC] = 0.83). The prediction score created from these predictors yielded 78% sensitivity and 77% specificity for cardiogenic etiology (AUC = 0.827).
CONCLUSIONS: Clinical predictors offer reasonable ED screening sensitivity for cardiogenic hypotension, while demonstrating sufficient specificity to facilitate early cardiac interventions.

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Year:  2018        PMID: 28719490     DOI: 10.1097/SHK.0000000000000945

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


  1 in total

1.  Use of noninvasive volume assessment methods to predict acute blood loss in spontaneously breathing volunteers.

Authors:  Asim Tomo; Murat Pekdemir; Ibrahim Ulas Ozturan; Nurettin Ozgur Dogan; Elif Yaka; Serkan Yilmaz
Journal:  Clin Exp Emerg Med       Date:  2021-03-31
  1 in total

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