Identifying the Impact of Metabolic Syndrome in Hypertensive Patients

Bortolotto, Luiz Aparecido

doi:10.5935/abc.20180102

Cited by 2 publications

(2 citation statements)

References 7 publications

(5 reference statements)

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“…As the disease progresses, features of liver decompensation can be present (e.g., jaundice, ascites, edema, gastrointestinal bleeding, and encephalopathy) [60]. Clinical features develop with the severity of the disease; thus, clinical symptoms are not crucial for making a diagnosis of early-stage NAFLD [61,62,63]. We should check for other signs related to metabolic syndrome, such as hypertension, diabetes mellitus, and abdominal obesity.…”

Section: Clinical Evaluation Of Nafldmentioning

confidence: 99%

Overview of the Pathogenesis, Genetic, and Non-Invasive Clinical, Biochemical, and Scoring Methods in the Assessment of NAFLD

Kupčová

Fedelešová

Bulas

et al. 2019

IJERPH

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Nonalcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease worldwide. It represents a range of disorders, including simple steatosis, nonalcoholic steatohepatitis (NASH), and liver cirrhosis, and its prevalence continues to rise. In some cases, hepatocellular carcinoma (HCC) may develop. The develop;ment of non-invasive diagnostic and screening tools is needed, in order to reduce the frequency of liver biopsies. The most promising methods are those able to exclude advanced fibrosis and quantify steatosis. In this study, new perspective markers for inflammation, oxidative stress, apoptosis, and fibrogenesis; emerging scoring models for detecting hepatic steatosis and fibrosis; and new genetic, epigenetic, and multiomic studies are discussed. As isolated biochemical parameters are not specific or sensitive enough to predict the presence of NASH and fibrosis, there is a tendency to use various markers and combine them into mathematical algorithms. Several predictive models and scoring systems have been developed. Current data suggests that panels of markers (NAFLD fibrosis score, Fib-4 score, BARD score, and others) are useful diagnostic modalities to minimize the number of liver biopsies. The review unveils pathophysiological aspects related to new trends in current non-invasive biochemical, genetic, and scoring methods, and provides insight into their diagnostic accuracies and suitability in clinical practice.

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Section: Clinical Evaluation Of Nafldmentioning

confidence: 99%

Overview of the Pathogenesis, Genetic, and Non-Invasive Clinical, Biochemical, and Scoring Methods in the Assessment of NAFLD

Kupčová

Fedelešová

Bulas

et al. 2019

IJERPH

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“…MetS comprises glucose metabolism dysregulation due to insulin resistance, central obesity, dyslipidemia, including increased blood triglycerides and decreased high-density lipoprotein cholesterol, and arterial hypertension (15,16,17). This combination of risk factors favors adverse outcomes such as T2DM and CVD and increases mortality rates by approximately 50 % (18,19).…”

Section: Introductionmentioning

confidence: 99%

Obesity, elevated levels of fasting plasma glucose and type 2 diabetes are associated with aortic stiffness

KUPCOVA¹,

MURIN²,

WIMMEROVA³

et al. 2023

BLL

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OBJECTIVES: Obesity and metabolic syndrome (MetS) are associated with structural and functional vascular abnormalities. MetS and its components may increase arterial stiffness and the risk of cardiovascular events. However, the relationship of MetS and its components, including obesity, with arterial stiffness is still not fully understood. SUBJECTS AND METHODS: In a group of 116 patients undergoing treatment for hypertension, we searched for the relationships between parameters of MetS and aortic stiffness expressed by pulse wave velocity (PWVAo). PWVAo was measured using an arteriograph working on the oscillometric principle, and pulse wave analysis (PWA) for noninvasive assessment of the parameters of central hemodynamics. RESULTS: From the cluster of parameters of MetS we found a signifi cant association between body mass index (BMI) and aortic stiffness, and between fasting plasma glucose/type 2 diabetes (FPG/T2DM) and aortic stiffness. We did not fi nd signifi cant relationships between other components of MetS (HDL cholesterol and triglycerides) and aortic stiffness, based on the infl uence of hypolipidemic therapy. Arterial stiffness increased with age and was higher in females. CONCLUSION: Arterial stiffness was associated with age, sex, and MetS components (BMI and FPG/T2DM). Surprisingly, the parameters of dyslipidemia do not infl uence stiffness parameters, which can be explained by hypolipidemic therapy. The infl uence of hypolipidemic therapy should therefore be borne in mind when evaluating arterial tree function (Tab. 7, Ref. 62).

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Identifying the Impact of Metabolic Syndrome in Hypertensive Patients

Cited by 2 publications

References 7 publications

Overview of the Pathogenesis, Genetic, and Non-Invasive Clinical, Biochemical, and Scoring Methods in the Assessment of NAFLD

Overview of the Pathogenesis, Genetic, and Non-Invasive Clinical, Biochemical, and Scoring Methods in the Assessment of NAFLD

Obesity, elevated levels of fasting plasma glucose and type 2 diabetes are associated with aortic stiffness

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