Harmonization of the definition of sudden cardiac death in longitudinal cohorts of the European Sudden Cardiac Arrest network - towards Prevention, Education, and New Effective Treatments (ESCAPE-NET) consortium

Peder Emil Warming*, Frederik Nybye Ågesen, Thomas Hadberg Lynge, Reza Jabbari, Robin L A Smits, Irene G M van Valkengoed, Sabrina J G C Welten, Amber A van der Heijden, Petra J Elders, Marieke T Blom, Xavier Jouven, Peter J Schwartz, Christine M Albert, Joline W Beulens, Femke Rutters, Hanno L Tan, Jean-Philippe Empana, Jacob Tfelt-Hansen, ESCAPE-NET Investigators

*Corresponding author af dette arbejde

Abstract

BACKGROUND: The burden of sudden cardiac death (SCD) in the general population is substantial and SCD frequently occurs among people with few or no known risk factors for cardiac disease. Reported incidences of SCD vary due to differences in definitions and methodology between cohorts. This study aimed to develop a method for adjudicating SCD cases in research settings and to describe uniform case definitions of SCD in an international consortium harmonizing multiple longitudinal study cohorts.

METHODS: The harmonized SCD definitions include both case definitions using data from multiple sources (eg, autopsy reports, medical history, eyewitnesses) as well as a method using only information from registers (eg, cause of death registers, ICD-10 codes). Validation of the register-based method was done within the consortium using the multiple sources definition as gold standard and presenting sensitivity, specificity, accuracy and positive predictive value.

RESULTS: Consensus definitions of "definite," "possible" and "probable" SCD for longitudinal study cohorts were reached. The definitions are based on a stratified approach to reflect the level of certainty of diagnosis and degree of information. The definitions can be applied to both multisource and register-based methods. Validation of the method using register-information in a cohort comprising 1335 cases yielded a sensitivity of 74%, specificity of 88%, accuracy of 86%, and positive predictive value of 54%.

CONCLUSIONS: This study demonstrated that a harmonization of SCD classification across different methodological approaches is feasible. The developed classification can be used to study SCD in longitudinal cohorts and to merge cohorts with different levels of information.

OriginalsprogEngelsk
TidsskriftAmerican Heart Journal
Vol/bind245
Sider (fra-til)117-125
Antal sider9
ISSN0002-8703
DOI
StatusUdgivet - 2022

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