Cargando…
High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis
BACKGROUND: Recent observational studies have shown that patients with higher Killips score (>I) have higher risk of new-onset atrial fibrillation (NOAF) following acute myocardial infarction (AMI), while others drew a neutral conclusion. The ultimate predictive value of high Killips class on NOA...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717937/ https://www.ncbi.nlm.nih.gov/pubmed/26168839 http://dx.doi.org/10.4103/0366-6999.160565 |
_version_ | 1782410708749647872 |
---|---|
author | Zhang, En-Yuan Cui, Li Li, Zhen-Yu Liu, Tong Li, Guang-Ping |
author_facet | Zhang, En-Yuan Cui, Li Li, Zhen-Yu Liu, Tong Li, Guang-Ping |
author_sort | Zhang, En-Yuan |
collection | PubMed |
description | BACKGROUND: Recent observational studies have shown that patients with higher Killips score (>I) have higher risk of new-onset atrial fibrillation (NOAF) following acute myocardial infarction (AMI), while others drew a neutral conclusion. The ultimate predictive value of high Killips class on NOAF remained obscure. METHODS: PubMed, Web of Science, China National Knowledge Infrastructure, and the Cochrane Controlled Trials Register Databases were searched until February 2015. Of the 3732 initially identified studies, 5 observational studies with 10,053 patients were analyzed. RESULTS: The meta-analysis of these studies showed that higher Killips score on admission was associated with higher incidence of NOAF following AMI (odds ratio = 2.29, 95% confidence interval 1.96–2.67, P < 0.00001), while no significant differences exist among individual trials (P = 0.14 and I(2) = 43%). CONCLUSIONS: Killips class >I was associated with the higher opportunity of developing NOAF following AMI. |
format | Online Article Text |
id | pubmed-4717937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47179372016-04-04 High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis Zhang, En-Yuan Cui, Li Li, Zhen-Yu Liu, Tong Li, Guang-Ping Chin Med J (Engl) Meta Analysis BACKGROUND: Recent observational studies have shown that patients with higher Killips score (>I) have higher risk of new-onset atrial fibrillation (NOAF) following acute myocardial infarction (AMI), while others drew a neutral conclusion. The ultimate predictive value of high Killips class on NOAF remained obscure. METHODS: PubMed, Web of Science, China National Knowledge Infrastructure, and the Cochrane Controlled Trials Register Databases were searched until February 2015. Of the 3732 initially identified studies, 5 observational studies with 10,053 patients were analyzed. RESULTS: The meta-analysis of these studies showed that higher Killips score on admission was associated with higher incidence of NOAF following AMI (odds ratio = 2.29, 95% confidence interval 1.96–2.67, P < 0.00001), while no significant differences exist among individual trials (P = 0.14 and I(2) = 43%). CONCLUSIONS: Killips class >I was associated with the higher opportunity of developing NOAF following AMI. Medknow Publications & Media Pvt Ltd 2015-07-20 /pmc/articles/PMC4717937/ /pubmed/26168839 http://dx.doi.org/10.4103/0366-6999.160565 Text en Copyright: © 2015 Chinese Medical Journal http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Meta Analysis Zhang, En-Yuan Cui, Li Li, Zhen-Yu Liu, Tong Li, Guang-Ping High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis |
title | High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis |
title_full | High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis |
title_fullStr | High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis |
title_full_unstemmed | High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis |
title_short | High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction: Systematic Review and Meta-analysis |
title_sort | high killips class as a predictor of new-onset atrial fibrillation following acute myocardial infarction: systematic review and meta-analysis |
topic | Meta Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717937/ https://www.ncbi.nlm.nih.gov/pubmed/26168839 http://dx.doi.org/10.4103/0366-6999.160565 |
work_keys_str_mv | AT zhangenyuan highkillipsclassasapredictorofnewonsetatrialfibrillationfollowingacutemyocardialinfarctionsystematicreviewandmetaanalysis AT cuili highkillipsclassasapredictorofnewonsetatrialfibrillationfollowingacutemyocardialinfarctionsystematicreviewandmetaanalysis AT lizhenyu highkillipsclassasapredictorofnewonsetatrialfibrillationfollowingacutemyocardialinfarctionsystematicreviewandmetaanalysis AT liutong highkillipsclassasapredictorofnewonsetatrialfibrillationfollowingacutemyocardialinfarctionsystematicreviewandmetaanalysis AT liguangping highkillipsclassasapredictorofnewonsetatrialfibrillationfollowingacutemyocardialinfarctionsystematicreviewandmetaanalysis |