scholarly journals Comparison of Time Trends of Cardiovascular Disease Risk Factors and Framingham Risk Score Between Patients With and Without Acute Coronary Syndrome Undergoing Percutaneous Intervention Over the Last 17 Years: From the Mayo Clinic Percutaneous Coronary In

2015 ◽  
Vol 38 (12) ◽  
pp. 747-756 ◽  
Author(s):  
Moo-Sik Lee ◽  
Andreas J. Flammer ◽  
Jing Li ◽  
Ryan J. Lennon ◽  
Sinny Delacroix ◽  
...  
PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247480
Author(s):  
Samira Zeynalova ◽  
Karolin Bucksch ◽  
Markus Scholz ◽  
Maryam Yahiaoui-Doktor ◽  
Melanie Gross ◽  
...  

Coronary heart disease, an inflammatory disease, is the leading cause of death globally. White blood cell counts (including monocytes) are easily available biomarkers of systemic inflammation. Monocyte subtypes can be measured by flow cytometry and classified into classical (CD14high, CD16neg), intermediate (CD14high, CD16+) and non-classical (CD14+, CD16high) with distinct functional properties. The goal of this study was to investigate the association of monocyte total count and its subtypes with cardiovascular risk groups defined by the Framingham Risk Score, which is used to estimate the 10-year risk of developing myocardial infarction or predict mortality following coronary heart disease. We also aimed to investigate whether monocyte counts are associated with relevant cardiovascular risk factors not included in the Framingham Risk Score, such as carotid atherosclerotic plaque and intima-media thickness. Our data came from the LIFE-Adult study, a population-based cohort study of 10,000 randomly selected participants in Leipzig, Germany. Data was gathered using self-administered questionnaires and physical examinations. Carotid plaques and intima-media thickness were measured using carotid artery sonography. Monocyte subtypes in blood were determined by 10-color flow cytometry for a total of 690 individuals. In a multivariate regression analysis adjusting for the risk factors BMI, intima-media thickness, presence of carotid plaques and diabetes mellitus, monocyte subtypes and total count were found to be significantly associated with the dichotomized Framingham Risk Score (≥10% versus <10%): Odds ratios [95% confidence interval] for monocyte subtypes: classical: 11.19 [3.79–34.26]; intermediate: 2.27 [1.11–4.71]; non-classical: 4.18 [1.75–10.20]; total: 14.59 [4.61–47.95]. In absence of prospective data, the FRS was used as a surrogate for CHD. Our results indicate that monocyte counts could provide useful predictive value for cardiovascular disease risk.


2018 ◽  
Vol 6 (8) ◽  
pp. 1370-1375 ◽  
Author(s):  
Maria Stanislavovna Tairova ◽  
Lucas Odacir Graciolli ◽  
Olga Sergueevna Tairova ◽  
Thiago De Marchi

AIM: Study the cardiovascular risk factors in a feminine population vulnerable to cardiovascular events particularly to evaluate the principal factors or possible confounding variables.METHODS: This is a cross-sectional descriptive study. Were analysed all the female patients from the Cardiovascular Rehabilitation Institute of Sports Medicine of Caxias do Sul who had the complete information on cardiovascular disease history, comorbidities and habits and who knew the complete gynaecological history by a phone interview.RESULTS: Were analysed 91 patients. About the comorbidities and habits, 45.2% of these patients presented some tobacco load, 82.4% are hypertensive, 61.5% are dyslipidemic, 25.3% are diabetic and the BMI average was 29.27 (overweight). Between the patients who undergone a hysterectomy and had an episode of the acute coronary syndrome (10 patients), 70% had the event after the procedure. Between the post-menopause women with at least one episode of the acute coronary syndrome, 80.5% (33 patients) had the first event after the menopause.CONCLUSION: We found multiple lifetime risk factors that predisposed the women of the sample to have cardiovascular disease. Between the women with specific to women risk factors and without, the prevalence of cardiovascular disease was very similar. This information supports the idea that these are just confounding factors of CVD and the principals involved are the genetic factors and habits. For this reason, the focus of CVD prevention and treatment should be directed towards these aspects.


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