PubMed HealthSearch

PubMed · 40478215

The presence or absence of standard modifiable cardiovascular risk factors in patients with myocardial infarction impacts long-term but not 30-day mortality: a UK Biobank prospective cohort study.

Abstract

AIMS: Prior studies reported higher early mortality after acute myocardial infarction (MI) in patients without standard modifiable cardiovascular risk factors (SMuRFs), warranting further validation. We aimed to evaluate whether SMuRF-absence is associated with increased 30-day cardiovascular mortality following MI. METHODS AND RESULTS: We conducted a population-based cohort study using UK Biobank data (n = 487 177). Incident MI cases occurring between 2006 and 2022 were identified through linkage to hospital and death registries. Standard modifiable cardiovascular risk factors (diabetes, hypertension, hypercholesterolaemia, current smoker) were defined at baseline and continuously assessed until MI onset. Thirty-day mortality following MI was estimated using Cox proportional hazards models, adjusted for sociodemographic, clinical, and cardiogenomic variables, were used to estimate 30-day mortality risks. Logistic regression model was used to estimate mortality risk at 10 years post-MI. Among 15 463 patients experiencing an MI (1034 without SMuRFs), SMuRF-absence was not significantly associated with 30-day mortality (HR: 0.82, 95% CI: 0.65-1.04, P = 0.103). Propensity score-matched analyses supported these findings (HR: 0.95, 95% CI: 0.69-1.29, P = 0.729). Further analyses stratified by distinct time intervals (2006-2022) revealed no significant modification of this association by advancements in acute MI management. Interaction analyses indicated no significant effect modification by sex, age, socioeconomic status, or period of MI occurrence. However, extended analysis to 10 years revealed that SMuRF absence was significantly associated with lower long-term mortality (OR: 0.61, 95% CI: 0.49-0.75, P < 0.01). CONCLUSION: In this population-based cohort, SMuRF status significantly impacted long-term but not short-term mortality following MI, indicating early survival is predominantly driven by acute-phase factors rather than baseline cardiovascular risk profiles.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Wen Kai Wong, Fumihiko Takeuchi, Li Lian Kuan, Stephen J Nicholls, Karlheinz Peter, Derek P Chew. 2026-09-04. The presence or absence of standard modifiable cardiovascular risk factors in patients with myocardial infarction impacts long-term but not 30-day mortality: a UK Biobank prospective cohort study.. https://doi.org/10.1093/eurjpc%2Fzwaf274

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans