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欧洲心脏骤停网络纵向队列中心脏性猝死定义的协调 - 预防、教育和新的有效治疗(ESCAPE-NET)联合体。

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.

机构信息

Department of Cardiology, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark.

Department of Cardiology, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark.

出版信息

Am Heart J. 2022 Mar;245:117-125. doi: 10.1016/j.ahj.2021.12.008. Epub 2021 Dec 20.

DOI:10.1016/j.ahj.2021.12.008
PMID:34936862
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.

摘要

背景

普通人群中心脏性猝死(SCD)的负担很大,并且 SCD 经常发生在患有少量或没有已知心脏病风险因素的人群中。由于队列之间的定义和方法学存在差异,SCD 的报告发生率有所不同。本研究旨在开发一种用于研究环境中 SCD 病例裁决的方法,并描述国际联盟中多个纵向研究队列中 SCD 的统一病例定义。

方法

协调一致的 SCD 定义包括使用多种来源数据(例如尸检报告、病史、目击者)的病例定义,以及仅使用登记信息(例如死亡登记、ICD-10 代码)的方法。使用多源定义作为金标准,并提出敏感性、特异性、准确性和阳性预测值,在联盟内对基于登记的方法进行了验证。

结果

达成了用于纵向研究队列的“明确”、“可能”和“可能”SCD 的共识定义。这些定义基于分层方法,以反映诊断的确定性水平和信息的程度。这些定义可应用于多源和基于登记的方法。在一个包含 1335 例病例的队列中使用登记信息验证该方法,其敏感性为 74%,特异性为 88%,准确性为 86%,阳性预测值为 54%。

结论

本研究表明,不同方法学方法之间的 SCD 分类协调是可行的。开发的分类可用于研究纵向队列中的 SCD,并合并具有不同信息水平的队列。

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