Literature DB >> 28549748

Prevalence of electrocardiographic unrecognized myocardial infarction and its association with mortality.

M Yldau van der Ende1, Minke H T Hartman2, Remco A J Schurer3, Hindrik W van der Werf4, Erik Lipsic5, Harold Snieder6, Pim van der Harst7.   

Abstract

BACKGROUND: Identifying unrecognized myocardial infarction (MI) is important for secondary prevention. The aim of this study is to determine the prevalence and correlates of unrecognized MI and the association with mortality in the general population.
METHODS: All participants ≥18years participating in the Lifelines population, a three-generation Cohort Study and Biobank, were included (n=152,180). Participants with unrecognized MI were matched with controls without MI (1:2) based on age and gender. Unrecognized MI was defined when no history of MI was reported in combination with electrocardiographic (ECG) signs corresponding to MI. A history of MI was defined as a reported history of MI in combination with ECG signs and/or the use of antithrombotic medication.
RESULTS: MI was present in 1881(1.2%) of participants and was unrecognized in 431 (22.9%) participants. Under the age of 50years, percentages of unrecognized MI relative to the total amount of MI were 34% and 55% in men and women respectively. Compared to recognized MI, classical cardiovascular risk factors were less prevalent in participants with unrecognized MI. During a median follow- up time of 5, 4 and 4years, 4.4%, 6.4% and 2.2% of participants with unrecognized MI, recognized MI and without MI died, respectively. In a multivariable logistic regression unrecognized MI was an independent predictor of death.
CONCLUSIONS: The prevalence of unrecognized MI is substantial and classical cardiovascular risk factors are less prevalent in participants with unrecognized MI. Nevertheless, unrecognized MI is associated with mortality. Risk stratification and early diagnosis is necessary to reduce the morbidity and mortality after MI.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electrocardiography; Lifelines; Mortality; Unrecognized myocardial infarction

Mesh:

Year:  2017        PMID: 28549748     DOI: 10.1016/j.ijcard.2017.05.063

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  8 in total

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Authors:  Hanneke J C M Wouters; René Mulder; Isabelle A van Zeventer; Jan Jacob Schuringa; Melanie M van der Klauw; Pim van der Harst; Arjan Diepstra; André B Mulder; Gerwin Huls
Journal:  Blood Adv       Date:  2020-12-22

2.  Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: a multicenter study.

Authors:  Rungroj Krittayaphong; Muenpetch Muenkaew; Polakit Chiewvit; Nithima Ratanasit; Yodying Kaolawanich; Arintaya Phrommintikul
Journal:  J Geriatr Cardiol       Date:  2019-08       Impact factor: 3.327

3.  Missed Acute Myocardial Infarction (MAMI) in a rural and regional setting.

Authors:  Trent Williams; Lindsay Savage; Nicholas Whitehead; Helen Orvad; Claire Cummins; Steven Faddy; Peter Fletcher; Andrew J Boyle; Kerry Jill Inder
Journal:  Int J Cardiol Heart Vasc       Date:  2019-03-09

4.  Prognosis of unrecognised myocardial infarction determined by electrocardiography or cardiac magnetic resonance imaging: systematic review and meta-analysis.

Authors:  Yu Yang; Wensheng Li; Hailan Zhu; Xiong-Fei Pan; Yunzhao Hu; Clare Arnott; Weiyi Mai; Xiaoyan Cai; Yuli Huang
Journal:  BMJ       Date:  2020-05-07

5.  Sex-Based Differences in Unrecognized Myocardial Infarction.

Authors:  M Yldau van der Ende; Luis Eduardo Juarez-Orozco; Ingmar Waardenburg; Erik Lipsic; Remco A J Schurer; Hindrik W van der Werf; Emelia J Benjamin; Dirk Jan van Veldhuisen; Harold Snieder; Pim van der Harst
Journal:  J Am Heart Assoc       Date:  2020-06-23       Impact factor: 5.501

6.  Cohort Profile Update: Lifelines, a three-generation cohort study and biobank.

Authors:  Anna Sijtsma; Johanna Rienks; Pim van der Harst; Gerjan Navis; Judith G M Rosmalen; Aafje Dotinga
Journal:  Int J Epidemiol       Date:  2022-10-13       Impact factor: 9.685

7.  Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning.

Authors:  Jong-Rul Park; Sung Phil Chung; Sung Yeon Hwang; Tae Gun Shin; Jong Eun Park
Journal:  BMC Med Inform Decis Mak       Date:  2020-06-01       Impact factor: 2.796

8.  Electrocardiographic screening in primary care for cardiovascular disease risk and atrial fibrillation.

Authors:  Ralf E Harskamp
Journal:  Prim Health Care Res Dev       Date:  2019-06-25       Impact factor: 1.458

  8 in total

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