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Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies

OBJECTIVE: To evaluate the magnitude of the association between risk factors and premature myocardial infarction (MI) (men aged 18-55 years; women aged 18-65 years). PATIENTS AND METHODS: We searched MEDLINE and other databases from inception through April 30, 2020, as well as bibliography of articl...

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Autores principales: Dugani, Sagar B., Hydoub, Yousif M., Ayala, Ana Patricia, Reka, Roger, Nayfeh, Tarek, Ding, Jingyi (Francess), McCafferty, Shannon N., Alzuabi, Muayad, Farwati, Medhat, Murad, M. Hassan, Alsheikh-Ali, Alawi A., Mora, Samia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358212/
https://www.ncbi.nlm.nih.gov/pubmed/34401655
http://dx.doi.org/10.1016/j.mayocpiqo.2021.03.009
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author Dugani, Sagar B.
Hydoub, Yousif M.
Ayala, Ana Patricia
Reka, Roger
Nayfeh, Tarek
Ding, Jingyi (Francess)
McCafferty, Shannon N.
Alzuabi, Muayad
Farwati, Medhat
Murad, M. Hassan
Alsheikh-Ali, Alawi A.
Mora, Samia
author_facet Dugani, Sagar B.
Hydoub, Yousif M.
Ayala, Ana Patricia
Reka, Roger
Nayfeh, Tarek
Ding, Jingyi (Francess)
McCafferty, Shannon N.
Alzuabi, Muayad
Farwati, Medhat
Murad, M. Hassan
Alsheikh-Ali, Alawi A.
Mora, Samia
author_sort Dugani, Sagar B.
collection PubMed
description OBJECTIVE: To evaluate the magnitude of the association between risk factors and premature myocardial infarction (MI) (men aged 18-55 years; women aged 18-65 years). PATIENTS AND METHODS: We searched MEDLINE and other databases from inception through April 30, 2020, as well as bibliography of articles selected for data extraction. We selected observational studies reporting the magnitude of the association of at least 1 risk factor (demographic characteristics, lifestyle factors, clinical risk factors, or biomarkers) with premature MI and a control group. Pooled risk estimates (random effects) from all studies unadjusted and adjusted for risk factors were reported as summary odds ratios (ORs) with 95% CIs. RESULTS: From 35,320 articles of 12.7 million participants, we extracted data on 19 risk factors from 77 studies across 58 countries. Men had a higher risk of premature MI (OR, 2.39; 95% CI, 1.71 to 3.35) than did women. Family history of cardiac disease was associated with a higher risk of premature MI (OR, 2.67; 95% CI, 2.29 to 3.27). Major modifiable risk factors associated with higher risk were current smoking (OR, 4.34; 95% CI, 3.68 to 5.12 vs no/former), diabetes mellitus (OR, 3.54; 95% CI, 2.69 to 4.65), dyslipidemia (OR, 2.94; 95% CI, 1.76 to 4.91), and hypertension (OR, 2.85; 95% CI, 2.48 to 3.27). Higher body mass index carried higher risk (OR, 1.46; 95% CI, 1.24 to 1.71 for ≥25 kg/m(2) vs <25 kg/m(2)). Biomarkers associated with 2- to 3-fold higher risk were total cholesterol levels greater than 200 mg/dL, triglyceride levels higher than 150 mg/dL, and high-density lipoprotein cholesterol levels less than 60 mg/dL (to convert to mmol/L, multiply by 0.0259). CONCLUSION: Major risk factors for premature MI are mostly amenable to patient, population, and policy level interventions. Mild elevations in body mass index and triglyceride levels were associated with higher risk, which has implications for the growing worldwide epidemic of cardiometabolic diseases.
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spelling pubmed-83582122021-08-15 Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies Dugani, Sagar B. Hydoub, Yousif M. Ayala, Ana Patricia Reka, Roger Nayfeh, Tarek Ding, Jingyi (Francess) McCafferty, Shannon N. Alzuabi, Muayad Farwati, Medhat Murad, M. Hassan Alsheikh-Ali, Alawi A. Mora, Samia Mayo Clin Proc Innov Qual Outcomes Original Article OBJECTIVE: To evaluate the magnitude of the association between risk factors and premature myocardial infarction (MI) (men aged 18-55 years; women aged 18-65 years). PATIENTS AND METHODS: We searched MEDLINE and other databases from inception through April 30, 2020, as well as bibliography of articles selected for data extraction. We selected observational studies reporting the magnitude of the association of at least 1 risk factor (demographic characteristics, lifestyle factors, clinical risk factors, or biomarkers) with premature MI and a control group. Pooled risk estimates (random effects) from all studies unadjusted and adjusted for risk factors were reported as summary odds ratios (ORs) with 95% CIs. RESULTS: From 35,320 articles of 12.7 million participants, we extracted data on 19 risk factors from 77 studies across 58 countries. Men had a higher risk of premature MI (OR, 2.39; 95% CI, 1.71 to 3.35) than did women. Family history of cardiac disease was associated with a higher risk of premature MI (OR, 2.67; 95% CI, 2.29 to 3.27). Major modifiable risk factors associated with higher risk were current smoking (OR, 4.34; 95% CI, 3.68 to 5.12 vs no/former), diabetes mellitus (OR, 3.54; 95% CI, 2.69 to 4.65), dyslipidemia (OR, 2.94; 95% CI, 1.76 to 4.91), and hypertension (OR, 2.85; 95% CI, 2.48 to 3.27). Higher body mass index carried higher risk (OR, 1.46; 95% CI, 1.24 to 1.71 for ≥25 kg/m(2) vs <25 kg/m(2)). Biomarkers associated with 2- to 3-fold higher risk were total cholesterol levels greater than 200 mg/dL, triglyceride levels higher than 150 mg/dL, and high-density lipoprotein cholesterol levels less than 60 mg/dL (to convert to mmol/L, multiply by 0.0259). CONCLUSION: Major risk factors for premature MI are mostly amenable to patient, population, and policy level interventions. Mild elevations in body mass index and triglyceride levels were associated with higher risk, which has implications for the growing worldwide epidemic of cardiometabolic diseases. Elsevier 2021-06-23 /pmc/articles/PMC8358212/ /pubmed/34401655 http://dx.doi.org/10.1016/j.mayocpiqo.2021.03.009 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Dugani, Sagar B.
Hydoub, Yousif M.
Ayala, Ana Patricia
Reka, Roger
Nayfeh, Tarek
Ding, Jingyi (Francess)
McCafferty, Shannon N.
Alzuabi, Muayad
Farwati, Medhat
Murad, M. Hassan
Alsheikh-Ali, Alawi A.
Mora, Samia
Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies
title Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies
title_full Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies
title_fullStr Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies
title_full_unstemmed Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies
title_short Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies
title_sort risk factors for premature myocardial infarction: a systematic review and meta-analysis of 77 studies
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358212/
https://www.ncbi.nlm.nih.gov/pubmed/34401655
http://dx.doi.org/10.1016/j.mayocpiqo.2021.03.009
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