Myocardial infarction complexity: A multi-omics approach

Liu, Xiaolan; Wang, Lulu; Wang, Yan; Qiao, Xiaorong; Chen, Nuo; Liu, Fangqian; Zhou, Xiaoxiang; Wang, Hua; Shen, Hongxing

doi:10.1016/j.cca.2023.117680

Cited by 3 publications

(1 citation statement)

References 113 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Myocardial infarction (MI) has a major impact on the global population. Myocardial infarction is the death of the heart muscle due to a lack of blood oxygenation and depends on a large number of factors and parameters [13]. An electrocardiogram (ECG) machine is undoubtedly the most effective way to monitor and try to prevent this type of pathology.…”

Section: Machine and Deep Learning Innovative Developmentsmentioning

confidence: 99%

BioMedInformatics, the Link between Biomedical Informatics, Biology and Computational Medicine

de Brevern

2023

BioMedInformatics

View full text Add to dashboard Cite

show abstract

Section: Machine and Deep Learning Innovative Developmentsmentioning

confidence: 99%

BioMedInformatics, the Link between Biomedical Informatics, Biology and Computational Medicine

de Brevern

2023

BioMedInformatics

View full text Add to dashboard Cite

show abstract

Role of deubiquitinase USP47 in cardiac function alleviation and anti-inflammatory immunity after myocardial infarction by regulating NLRP3 inflammasome-mediated pyroptotic signal pathways

Wu,

Li,

Wang

et al. 2024

International Immunopharmacology

View full text Add to dashboard Cite

The triglyceride-glucose index: a predictor of mortality risk among myocardial infarction survivors

Zhang,

Han,

Luo

et al. 2024

Sci Rep

View full text Add to dashboard Cite

The relationship between the triglyceride-glucose (TyG) index and mortality among survivors of myocardial infarction (MI) remains understudied. This study aims to evaluate the association between the TyG index and mortality among adult MI patients in the US. Our study included 986 MI patients, sourced from the National Health and Nutrition Examination Survey conducted from 1999 to 2018. Employing a multivariate Cox proportional hazards model, we examined the association between the TyG index and mortality. To explore potential nonlinear relationships, we employed restricted cubic splines in our analysis. Additionally, we applied a two-piecewise Cox proportional hazards model for a more nuanced analysis of the data, using key turning points as boundaries. To validate the robustness of our research findings, we also performed subgroup analyses. During a 7,342 person-years follow-up period, 434 MI survivors succumbed to various causes, including 158 cardiovascular disease-related deaths. The study revealed a U-shaped pattern between the TyG index and mortality. At TyG index levels below the thresholds (8.85 for all-cause mortality and 9.02 for cardiovascular mortality), mortality exhibited a negative correlation with the TyG index (HR = 0.56, 95%CI 0.39–0.82; HR = 0.67, 95%CI 0.39–1.14). Conversely, mortality rates increased when the TyG index surpassed these thresholds (HR = 1.38, 95%CI 1.08–1.76; HR = 1.56, 95%CI 1.02–2.38). Furthermore, among diabetic patients, subgroup analyses demonstrated that the U-shaped pattern between the TyG index and cardiovascular mortality was particularly pronounced. Our research indicates that among MI survivors, a U-shaped pattern exists between the TyG index and mortality rates, which is particularly pronounced in the diabetic patient subgroup. The corresponding threshold values for all-cause and cardiovascular mortality are 8.85 and 9.02, respectively.

show abstract

Myocardial infarction complexity: A multi-omics approach

Cited by 3 publications

References 113 publications

BioMedInformatics, the Link between Biomedical Informatics, Biology and Computational Medicine

BioMedInformatics, the Link between Biomedical Informatics, Biology and Computational Medicine

Role of deubiquitinase USP47 in cardiac function alleviation and anti-inflammatory immunity after myocardial infarction by regulating NLRP3 inflammasome-mediated pyroptotic signal pathways

The triglyceride-glucose index: a predictor of mortality risk among myocardial infarction survivors

Contact Info

Product

Resources

About