Evidence map›Paper›PMID 41694029›Full record

ArticleWorld journal of cardiology2026

Non-traditional risk factors for myocardial infarction in adults under forty: A systematic review of emerging trends.

Tirath Patel, Muhammad Farhan, Nehal K Bhatt, Hewaz A Fatah, Joel J Peniel, Ved V Kaulgud, Tisimol Mathew, Aashita M Bapat, Waleed Ss Harazeen, Abdullatif N Alatta and 1 more

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Article in World journal of cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tirath PatelDepartment of Medicine, Trinity Medical Sciences University School of Medicine, Kingstown VC0100, Saint George, Saint Vincent and the Grenadines.
Muhammad FarhanInternal Medicine, Ajman University, Ajman 6263, United Arab Emirates.
Nehal K BhattDepartment of Medicine, Pramukhswami Medical College, Gujarat 380001, India.
Hewaz A FatahInternal Medicine, Turaq Primary Healthcare Centre, General Directorate of Health, Erbil 44001, Arbīl, Iraq.
Joel J PenielInternal Medicine, Tbilisi State Medical University, Tbilisi 0144, Georgia.
Ved V KaulgudInternal Medicine, Hinduhrudaysamrat Balasaheb Thackrey Medical College, Mumbai 400005, Mahārāshtra, India.
Tisimol MathewInternal Medicine, Davao Medical School Foundation, Davao 8016, Philippines.
Aashita M BapatInternal Medicine, Hinduhrudaysamrat Balasaheb Thackrey Medical College, Mumbai 400005, Mahārāshtra, India.
Waleed Ss HarazeenInternal Medicine, Ajman University, College of Medicine, Ajman 6263, United Arab Emirates.
Abdullatif N AlattaInternal Medicine, Ajman University, College of Medicine, Ajman 6263, United Arab Emirates.
Ayoola AwosikaDepartment of Family Medicine, University of Illinois College of Medicine Peoria, Bloomington, IL 61601, United States. ayoolaawosika@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial infarction (MI) incidence is increasing in adults aged < 40 years, however, as many as 25% may occur with no traditional risk factors.

aimTo look at non-traditional risk factors for early onset MI.

methodsBased on the guidance of PRISMA-2020, search of PubMed, EMBASE, Web of Science, Scopus and Cochrane Central Register of Controlled Trials between April 2015 and April 2020 for observational studies focusing on the association between non-traditional risk factors and MI in adults aged 18-40 years. Two reviewers independently screened studies, extracted data and checked quality using Newcastle-Ottawa Scale or Agency for Healthcare Research and Quality checklist. The protocol was registered in PROSPERO, No. CRD420251061098.

resultsThirteen studies (7 cohort, 4 case-control, 2 cross-sectional) from 11 countries met inclusion criteria with a sample size ranging from 154 participants in a pilot case-control study to 5.7 million people in a United States National Inpatient Sample analysis. Psychosocial factors showed consistent associations: Depression showed an MI risk 1.6-3.1-fold higher and being unpartnered was associated with a post-MI readmission risk that was 28%-31% higher. Autoimmune conditions had the greatest associations, with human immunodeficiency virus infection quadrupling odds of MI (4.06), and the risk of systemic lupus erythematosus doubling (2.12). Obstructive sleep apnea increased major adverse cardiovascular events by almost four times (hazard ratio = 3.87). Adhering to the Mediterranean diet was protective (odds ratio = 0.55). Accelerated biological aging (shortening of telomeres) separated young patients with MI from controls. Traditional risk factors did not account for up to 30% of MI cases in each of the cohorts. Most studies were of moderate to high quality, although causes of heterogeneity in design and age stratification of participants mixtures limited causality inference.

conclusionNon-traditional psychosocial, autoimmune, inflammatory, and lifestyle factors play an important role in the risk of MI in young adults. Integrating these factors into risk prediction models could improve the early identification of high-risk individuals and target prevention strategies for this vulnerable population.

Indexed as

Acute myocardial infarctionCoronary artery diseaseST-elevation myocardial infarctionYoung adult

Identifiers

PMID41694029
PMCPMC12896991

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.