Last updated on September 2017

Verification of Prediction Algorithm

Brief description of study

Prospective observational clinical study to verify an algorithm used to predict cardiopulmonary events in patients presenting to the emergency department.

Detailed Study Description

A novel algorithm for determining risk of acute cardiac complications, including cardiac arrest, for patients presenting to the ED has recently been reported. Unlike prior risk stratification tools that relied on basic vital sign data, this algorithm utilizes advanced computing of ECG data to solve the risk classification problem. Data will be collected on patients presenting to the emergency department with a primary complaint that is determined to be cardiopulmonary of origin by a clinician. Verification of the results of the previous studies using this algorithm in a more diverse patient cohorts is required. As such, the proposed study will investigate the accuracy of the algorithm.

Clinical Study Identifier: NCT02863666

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Michael Kurz, MD

University of Alabama
Birmingham, AL United States
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Robert Swor, DO

William Beaumont Hospital
Royal Oak, MI United States
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Koen Monsieurs, MD

Antwerp University Hospital
Antwerp, Belgium
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Recruitment Status: Open

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