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Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F24%3A00085181" target="_blank" >RIV/00023001:_____/24:00085181 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/24:00137437 RIV/00098892:_____/24:10158843

  • Result on the web

    <a href="https://academic.oup.com/eurheartj/article/45/43/4616/7815795" target="_blank" >https://academic.oup.com/eurheartj/article/45/43/4616/7815795</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/eurheartj/ehae326" target="_blank" >10.1093/eurheartj/ehae326</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts

  • Original language description

    Background and Aims Risk stratification of sudden cardiac death after myocardial infarction and prevention by defibrillator rely on left ventricular ejection fraction (LVEF). Improved risk stratification across the whole LVEF range is required for decision-making on defibrillator implantation. Methods The analysis pooled 20 data sets with 140 204 post-myocardial infarction patients containing information on demographics, medical history, clinical characteristics, biomarkers, electrocardiography, echocardiography, and cardiac magnetic resonance imaging. Separate analyses were performed in patients (i) carrying a primary prevention cardioverter-defibrillator with LVEF &lt;= 35% [implantable cardioverter-defibrillator (ICD) patients], (ii) without cardioverter-defibrillator with LVEF &lt;= 35% (non-ICD patients &lt;= 35%), and (iii) without cardioverter-defibrillator with LVEF &gt; 35% (non-ICD patients &gt;35%). Primary outcome was sudden cardiac death or, in defibrillator carriers, appropriate defibrillator therapy. Using a competing risk framework and systematic internal-external cross-validation, a model using LVEF only, a multivariable flexible parametric survival model, and a multivariable random forest survival model were developed and externally validated. Predictive performance was assessed by random effect meta-analysis. Results There were 1326 primary outcomes in 7543 ICD patients, 1193 in 25 058 non-ICD patients &lt;= 35%, and 1567 in 107 603 non-ICD patients &gt;35% during mean follow-up of 30.0, 46.5, and 57.6 months, respectively. In these three subgroups, LVEF poorly predicted sudden cardiac death (c-statistics between 0.50 and 0.56). Considering additional parameters did not improve calibration and discrimination, and model generalizability was poor. Conclusions More accurate risk stratification for sudden cardiac death and identification of low-risk individuals with severely reduced LVEF or of high-risk individuals with preserved LVEF was not feasible, neither using LVEF nor using other predictors.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30201 - Cardiac and Cardiovascular systems

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European heart journal

  • ISSN

    0195-668X

  • e-ISSN

    1522-9645

  • Volume of the periodical

    45

  • Issue of the periodical within the volume

    43

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    4616-4626

  • UT code for WoS article

    001330941400001

  • EID of the result in the Scopus database

    2-s2.0-85209260955