TY - JOUR
T1 - 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
AU - Warming, Peder Emil
AU - Ågesen, Frederik Nybye
AU - Lynge, Thomas Hadberg
AU - Jabbari, Reza
AU - Smits, Robin L. A.
AU - van Valkengoed, Irene G. M.
AU - Welten, Sabrina J. G. C.
AU - van der Heijden, Amber A.
AU - Elders, Petra J.
AU - Blom, Marieke T.
AU - Jouven, Xavier
AU - Schwartz, Peter J.
AU - Albert, Christine M.
AU - Beulens, Joline W.
AU - Rutters, Femke
AU - Tan, Hanno L.
AU - Empana, Jean-Philippe
AU - ESCAPE-NET Investigators
AU - Tfelt-Hansen, Jacob
N1 - Funding Information: This project/work has received funding from the European Union's Horizon 2020 research and innovation programme under acronym ESCAPE-NET, registered under grant agreement No 733381, and the COST Action PARQ (grant agreement No CA19137) supported by COST (European Cooperation in Science and Technology). Publisher Copyright: © 2021 The Author(s)
PY - 2022/3/1
Y1 - 2022/3/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123297956&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/34936862
UR - http://www.scopus.com/inward/record.url?scp=85123297956&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.ahj.2021.12.008
DO - https://doi.org/10.1016/j.ahj.2021.12.008
M3 - Article
C2 - 34936862
SN - 0002-8703
VL - 245
SP - 117
EP - 125
JO - American Heart Journal
JF - American Heart Journal
ER -