Coronary heart disease risk: Low-density lipoprotein and beyond

Shaya, Gabriel E.; Leucker, Thorsten M.; Jones, Steven R.; Martin, Seth S.; Tóth, Peter P.

doi:10.1016/j.tcm.2021.04.002

Cited by 116 publications

(74 citation statements)

References 170 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…7 Despite the clear link between inflammation and atherogenesis, the causal relationship remains uncertain. 8 The most common biomarker of inflammation is highsensitivity C-reactive protein (hs-CRP). To date, due to the relationship between endothelial damage, inflammation and atherosclerosis, the measurement of hs-CRP is essential in evaluating cardiovascular risk and is an important prognostic factor for acute myocardial infarction, stroke, peripheral arterial disease, atrial fibrillation and cardiac insufficiency.…”

Section: Primary Prevention Of Cardiovascular Diseasementioning

confidence: 99%

See 1 more Smart Citation

Subclinical Vascular Damage: Current Insights and Future Potential

Mattioli¹,

Coppi²,

Manenti³

et al. 2021

VHRM

View full text Add to dashboard Cite

The cardiovascular risk assessment must be carried out during all the different phases of life because the cardiovascular risk and the related prevention actions are dynamic and constantly evolving. As patients age, they change their exposure to various risk factors and accumulate comorbidities by changing their subjective cardiovascular risk, so it is necessary to undertake personalized early and preventive diagnostic actions. The main approach to asymptomatic vascular disease is based on primary prevention with the adoption of a healthy lifestyle. Indeed, lifestyle influences most of the traditional risk factors. In recent years, important differences between the sexes regarding cardiovascular risk factors have emerged and in particular, risk factors specific for female sex have been identified. Women are more likely to be categorized into lower risk categories for cardiovascular disease and, as a result, receive less lifestyle counseling than men, as well as less intensive prevention. This narrative review aims to analyze CVD risk prevention in asymptomatic atherosclerosis with a look at new emerging factors. In the end, we quickly analyzed the effects of the recent pandemic on lifestyle and cardiovascular risk and the potential negative effects in the long term.

show abstract

Section: Primary Prevention Of Cardiovascular Diseasementioning

confidence: 99%

“… 7 Despite the clear link between inflammation and atherogenesis, the causal relationship remains uncertain. 8 …”

Section: Primary Prevention Of Cardiovascular Diseasementioning

confidence: 99%

Subclinical Vascular Damage: Current Insights and Future Potential

Mattioli¹,

Coppi²,

Manenti³

et al. 2021

VHRM

View full text Add to dashboard Cite

show abstract

“…Coronary heart disease (CHD) is the leading cause of morbidity and mortality worldwide, producing immense health and economic burdens globally ( Shaya et al, 2021 ; Virani et al, 2021 ). As a gene-environment interacted disease, CHD is characterized by endothelial dysfunction and chronic inflammation, and is mainly caused by atherosclerosis which progresses slowly and is usually asymptomatic in the early stage ( Hansson, 2005 ; Talmud, 2007 ; Gatto and Prati, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

F2RL3 Methylation in the Peripheral Blood as a Potential Marker for the Detection of Coronary Heart Disease: A Case-Control Study

et al. 2022

View full text Add to dashboard Cite

Background and Aims: Previous work has shown the association between blood-based methylation of coagulation factor II receptor-like 3 gene (F2RL3) and cardiovascular mortality in Caucasians. However, the diagnostic value of F2RL3 methylation for CHD is still unknown. The aim of our study was to evaluate the association between blood-based F2RL3 methylation and the risk of CHD in the Chinese population.Methods: The methylation level of F2RL3 was quantified by mass spectrometry in a case-control study with 180 CHD cases and 184 controls. The association between F2RL3 methylation intensity and CHD was assessed by logistic regression models, controlling confounding factors.Results: The hypomethylation in F2RL3_A amplicon was significantly associated with CHD (odds ratio (ORs) per -10% methylation: 1.22–1.42, p < 0.035 for six out of seven CpG loci). Specifically, this significant association was observed in elderly CHD patients (≥60 years), myocardial infarction (MI) patients, heart failure patients and the patients with minor to medium cardiac function impairment (NYHA Ⅰ&Ⅱ CHD cases) (ORs per -10% methylation: 1.35–1.58, 1.32–2.00, 1.29–1.43, 1.25–1.44; p < 0.024, 0.033, 0.035, 0.025, respectively). However, F2RL3_B CpG sites showed no or very weak association with CHD. The combination of F2RL3_A_CpG_1 and F2RL3_A_CpG_3 methylation levels could efficiently discriminate CHD, MI, heart failure, NYHA I&II CHD, and elderly CHD patients from controls (area under curve (AUC) = 0.75, 0.79, 0.75, 0.76, and 0.82, respectively).Conclusion: We propose blood-based F2RL3 methylation as a potential biomarker for CHD, especially for people with older age or with the status of MI. The combination of F2RL3 methylation and conventional risk factors might be an approach to evaluate CHD at early stage.

show abstract

“…With the development of the social economy, changes in dietary structures, and the trend of aging populations, coronary heart disease (CHD) has become one of the main causes of harm to human health ( 1 ). It led to around 18 million (roughly one-third of) deaths worldwide in the year 2016 ( 2 ).…”

Section: Introductionmentioning

confidence: 99%

Establishment and Validation of a Non-invasive Diagnostic Nomogram to Identify Heart Failure in Patients With Coronary Heart Disease

Tan

et al. 2022

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

BackgroundHeart failure (HF) is an end-stage manifestation of and cause of death in coronary heart disease (CHD). The objective of this study was to establish and validate a non-invasive diagnostic nomogram to identify HF in patients with CHD.MethodsWe retrospectively analyzed the clinical data of 44,772 CHD patients from five tertiary hospitals. Univariate logistic regression analyses and least absolute shrinkage and selection operator (LASSO) regression analyses were used to identify independent factors. A nomogram based on the multivariate logistic regression model was constructed using these independent factors. The concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC) were used to evaluate the predictive accuracy and clinical value of this nomogram.ResultsThe predictive factors in the multivariate model included hypertension, age, and the total bilirubin, uric acid, urea nitrogen, triglyceride, and total cholesterol levels. The area under the curve (AUC) values of the nomogram in the training set, internal validation set, external validation set1, and external validation set2 were 0.720 (95% CI: 0.712–0.727), 0.723 (95% CI: 0.712–0.735), 0.692 (95% CI: 0.674–0.710), and 0.655 (95% CI: 0.634–0.677), respectively. The calibration curves indicated that the nomogram had strong calibration. DCA and CIC indicated that the nomogram can be used as an effective tool in clinical practice.ConclusionThe developed predictive model combines the clinical and laboratory factors of patients with CHD and is useful in individualized prediction of HF probability for clinical decision-making during treatment and management.

show abstract

Coronary heart disease risk: Low-density lipoprotein and beyond

Cited by 116 publications

References 170 publications

Subclinical Vascular Damage: Current Insights and Future Potential

Subclinical Vascular Damage: Current Insights and Future Potential

F2RL3 Methylation in the Peripheral Blood as a Potential Marker for the Detection of Coronary Heart Disease: A Case-Control Study

Establishment and Validation of a Non-invasive Diagnostic Nomogram to Identify Heart Failure in Patients With Coronary Heart Disease

Contact Info

Product

Resources

About