Verification of Prediction Algorithm

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

673 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-08-11

Study Completion Date

2017-12-15

Brief Summary

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

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Detailed Description

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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.

Conditions

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Shortness of Breath Episode Tachycardia Bradycardia Difficulty Breathing

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

18 years of age or older Admission to emergency department requiring immediate medical attention due to presumed cardiac or pulmonary cause(s) and considered 2nd or 3rd tier priority in triage system.