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Temporal trends of in-hospital mortality and its determinants following percutaneous coronary intervention in patients with acute coronary syndrome in England and Wales: A population-based study between 2006 and 2021.
Ayayo, Sharon A; Kontopantelis, Evangelos; Martin, Glen P; Zghebi, Salwa S; Taxiarchi, Vicky P; Mamas, Mamas A.
Afiliação
  • Ayayo SA; Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK. Electronic address: sharon.ayayo@postgrad.manchester.ac.uk.
  • Kontopantelis E; Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK. Electronic address: E.Kontopantelis@manchester.ac.uk.
  • Martin GP; Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK. Electronic address: glen.martin@manchester.ac.uk.
  • Zghebi SS; Division of Population Health, Health Services Research and Primary care, The University of Manchester, UK. Electronic address: salwa.zghebi@manchester.ac.uk.
  • Taxiarchi VP; Centre for Women's Mental Health, Division of Psychology and Mental Health, The University of Manchester, UK. Electronic address: vicky.p.taxiarchi@manchester.ac.uk.
  • Mamas MA; Keele Cardiovascular Research Group, Keele University, Stoke on Trent, UK; National Institute for Health and Care Research (NIHR), Birmingham Biomedical Research Centre, UK. Electronic address: mamasmamas1@yahoo.co.uk.
Int J Cardiol ; 412: 132334, 2024 Oct 01.
Article em En | MEDLINE | ID: mdl-38964546
ABSTRACT

BACKGROUND:

There is limited data around drivers of changes in mortality over time. We aimed to examine the temporal changes in mortality and understand its determinants over time.

METHODS:

743,149 PCI procedures for patients from the British Cardiovascular Intervention Society (BCIS) database who were aged between 18 and 100 years and underwent Percutaneous Coronary Intervention (PCI) for Acute Coronary Syndrome (ACS) in England and Wales between 2006 and 2021 were included. We decomposed the contributing factors to the difference in the observed mortality proportions between 2006 and 2021 using Fairlie decomposition method. Multiple imputation was used to address missing data.

RESULTS:

Overall, there was an increase in the mortality proportion over time, from 1.7% (95% CI 1.5% to 1.9%) in 2006 to 3.1% (95% CI 3.0% to 3.2%) in 2021. 61.2% of this difference was explained by the variables included in the model. ACS subtypes (percentage contribution 14.67%; 95% CI 5.76% to 23.59%) and medical history (percentage contribution 13.50%; 95% CI 4.33% to 22.67%) were the strongest contributors to the difference in the observed mortality proportions between 2006 and 2021. Also, there were different drivers to mortality changes between different time periods. Specifically, ACS subtypes and severity of presentation were amongst the strongest contributors between 2006 and 2012 while access site and demographics were the strongest contributors between 2012 and 2021.

CONCLUSIONS:

Patient factors and the move towards ST-elevated myocardial infarction (STEMI) PCI have driven the short-term mortality changes following PCI for ACS the most.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mortalidade Hospitalar / Síndrome Coronariana Aguda / Intervenção Coronária Percutânea Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Int J Cardiol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mortalidade Hospitalar / Síndrome Coronariana Aguda / Intervenção Coronária Percutânea Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Int J Cardiol Ano de publicação: 2024 Tipo de documento: Article