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Meta-Analysis
. 2023 Apr 22;23(1):206.
doi: 10.1186/s12872-023-03231-w.

The global prevalence of myocardial infarction: a systematic review and meta-analysis

Nader Salari  1   2 , Fatemeh Morddarvanjoghi  3 , Amir Abdolmaleki  4 , Shabnam Rasoulpoor  5 , Ali Asghar Khaleghi  6 , Leila Afshar Hezarkhani  7 , Shamarina Shohaimi  8 , Masoud Mohammadi  9
Affiliations
Meta-Analysis

The global prevalence of myocardial infarction: a systematic review and meta-analysis

Nader Salari et al. BMC Cardiovasc Disord. .

Abstract

Background: Myocardial infarction (MI) is one of the life-threatening coronary-associated pathologies characterized by sudden cardiac death. The provision of complete insight into MI complications along with designing a preventive program against MI seems necessary.

Methods: Various databases (PubMed, Web of Science, ScienceDirect, Scopus, Embase, and Google scholar search engine) were hired for comprehensive searching. The keywords of "Prevalence", "Outbreak", "Burden", "Myocardial Infarction", "Myocardial Infarct", and "Heart Attack" were hired with no time/language restrictions. Collected data were imported into the information management software (EndNote v.8x). Also, citations of all relevant articles were screened manually. The search was updated on 2022.9.13 prior to the publication.

Results: Twenty-two eligible studies with a sample size of 2,982,6717 individuals (< 60 years) were included for data analysis. The global prevalence of MI in individuals < 60 years was found 3.8%. Also, following the assessment of 20 eligible investigations with a sample size of 5,071,185 individuals (> 60 years), this value was detected at 9.5%.

Conclusion: Due to the accelerated rate of MI prevalence in older ages, precise attention by patients regarding the complications of MI seems critical. Thus, determination of preventive planning along with the application of safe treatment methods is critical.

Keywords: Heart attack; MI; Myocardial infarction; Prevalence.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Reviewing, screening and extracting articles based on PRISMA process
Fig. 2
Fig. 2
Forest plot representing the global prevalence of myocardial infarction in age group > 60 years based on the random effects model
Fig. 3
Fig. 3
Funnel plot representing the distribution bias of eligible collected studies
Fig. 4
Fig. 4
Forest plot representing the global prevalence of myocardial infarction in the age group < 60 years (random effect model)
Fig. 5
Fig. 5
Funnel plot representing publication bias in eligible collected studies
See this image and copyright information in PMC

References

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