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The diagnosis of myocardial infarction in critically ill patients: An agreement study
Authors:Wendy Lim MD   MSc   Andrea Tkaczyk RN   MN   Paula Holinski MD   Ismael Qushmaq MD   Michael Jacka MD   Vikas Khera MD   P.J. Devereaux MD   PhD   Irene Terrenato PhD   Holger Schunemann MD   PhD   Diane Heels-Ansdell MSc   Mark Crowther MD   MSc  Deborah Cook MD   MSc  
Affiliation:aDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada;bDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Canada;cDepartment of Medicine, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia;dDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada;eDepartment of Epidemiology, Italian National Cancer Institute Regina Elena, Rome, Italy
Abstract:

Purpose

The aim of the study was to assess agreement among 4 intensivists in diagnosing myocardial infarction (MI) in critically ill patients based on screening electrocardiograms (ECGs) and cardiac troponin (cTn) levels.

Methods

Consecutive patients admitted to a medical-surgical intensive care unit (ICU) underwent systematic screening with 12-lead ECGs and cTn measurements throughout their ICU stay. Independently, 4 raters interpreted the ECGs assessing for changes indicative of ischemia and then classified each patient as to whether they met diagnostic criteria for MI based on the screening cTn measurements and ECG results. A priori, 2 raters were designated the primary adjudicators, and their consensus was used as the reference for the agreement statistics. Agreement on MI diagnosis was calculated for the 4 raters and expressed as raw agreement, κ (chance-corrected agreement) and ? (chance-independent agreement, calculated using pairs).

Results

Among 103 enrolled patients, 37 (35.9%) had MI according to the primary adjudicators. The raw agreement for diagnosing MI was 79% (substantial), κ was 0.24 (fair), and ? ranged from 0.12 to 0.73 (slight to substantial).

Conclusions

Diagnosing MI in the ICU remains a challenge due to variable agreement in 12-lead ECG interpretation. Such variation in practice may contribute to underrecognition of MI during critical illness.
Keywords:Troponin   Critical illness   Intensive care unit   Electrocardiography   Decision making
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