8 results match your criteria: "Private Medical Center 'Vita-Center'[Affiliation]"

Article Synopsis
  • The study focused on the relationship between microvesicles from dying endothelial cells and different types of chronic heart failure (HF).
  • The research involved 388 HF patients, including those with reduced, preserved, and mid-range left ventricular ejection fractions.
  • Key findings indicated that while some microvesicle markers were similar in certain HF patients, specific markers, especially CD144/annexin V MVs, were significantly higher in HFrEF patients and could enhance prediction capabilities for heart failure outcomes.
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Metabolic syndrome (MetS) is defined as cluster of multiple metabolic and cardiovascular (CV) abnormalities included abdominal obesity, high-normal blood pressure, dyslipidaemia, and impaired fasting glucose tolerance that exhibits has a growing prevalence worldwide. We investigated whether an elevated level of osteoprotegerin (OPG) predicts imbalance between different phenotypes of circulating endothelial (EPCs) and mononuclear (MPCs) progenitor cells in MetS patients. We have analyzed data regarding dysmetabolic disorder subjects without known CV disease), as well as with known type two diabetes mellitus.

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Background: Chronic heart failure (HF) remains a leading cause of cardiovascular (CV) mortality and morbidity worldwide. The aim of the study was to investigate whether the pattern of angiogenic endothelial progenitor cells (EPCs) and apoptotic endothelial cell-derived microparticles (EMPs) would be able to differentiate HF with reduced (HFrEF) and preserved (HFpEF) ejection fraction.

Methods: One hundred sixty four chronic HF subjects met inclusion criteria.

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The utility of biomarker risk prediction score in patients with chronic heart failure.

Int J Clin Exp Med

January 2016

2nd Department of Internal Medicine, St. Anne's University Hospital and Masaryk UniversityBrno, Czech Republic; Laboratory of Structural Biology and Proteomics, Faculty of Pharmacy, University of Veterinary and Pharmaceutical SciencesBrno, Czech Republic.

Article Synopsis
  • Chronic heart failure (CHF) is a major cause of cardiovascular-related deaths, and current risk models need to be improved; this study investigates if a biomarker risk prediction score can enhance three-year risk assessments for cardiovascular outcomes in CHF patients.
  • The study followed 388 CHF patients over an average of 2.76 years, recording 285 cardiovascular events (43 deaths, 242 readmissions) while measuring various biomarkers such as NT-pro-BNP, galectin-3, and hs-CRP.
  • The results indicate that specific biomarkers are independent predictors of clinical outcomes and that a calculated cardiovascular risk index could help differentiate patient survival prospects based on their risk scores.
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Article Synopsis
  • The study aimed to determine if circulating microparticles linked to cell death can help predict cardiovascular risks in patients with congestive heart failure (CHF) over three years.
  • During a follow-up of 2.32 years involving 388 patients, 110 cardiovascular events, including 43 deaths, were recorded, highlighting the serious nature of CHF.
  • Key factors linked to these outcomes included certain biomarkers (like NT-pro-BNP and hs-CRP) and specific types of apoptotic microparticles, suggesting that analyzing these could enhance risk assessment for patients with CHF.
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Background: Subclinical hypothyroidism (SH) is diagnosed biochemically by the presence of normal serum free thyroxine concentration, in conjunction with an elevated serum thyroid-stimulating hormone level. Recent studies have demonstrated the frequent association between SH and cardiovascular diseases and risk factors.

Objectives: To evaluate the impact of SH on patterns of circulating endothelial-derived microparticles, (EMPs) among chronic heart failure (CHF) patients.

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Unlabelled: The study aim was to evaluate the impact of dysmetabolic comorbidities including subclinical hypothyroidism (SH) on pattern of circulating endothelial-derived microparticles (EMPs) in chronic heart failure (CHF) patients.

Methods: It was retrospectively involved a cohort of 388 patients with CHF. Fifty three CHF subjects had SH and 335 patients were free from thyroid dysfunction.

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Background: Chronic heart failure (CHF) has been remained a leading cause of cardiovascular morbidity and mortaluty. The risk stratification of CHF individuals based on clinical criteria and biomarkers' models may improve medical care and probably increase efficacy of treatment strategy. However, various predictive models approved for CHF patients appear to be distinguished in their prognostications.

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