scholarly journals The Metabolic Syndrome and Risk of Chronic Kidney Disease: Pathophysiology and Intervention Strategies

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Heather A. LaGuardia ◽  
L. Lee Hamm ◽  
Jing Chen
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Intervention Strategies ◽  
Elevated Blood ◽  
The Metabolic Syndrome ◽  
Prevalence Of Obesity ◽  
Complications And Mortality

Metabolic syndrome is characterized by a clustering of cardiovascular risk factors, including abdominal obesity, elevated blood pressure and glucose concentrations, and dyslipidemia. The presence of this clinical entity is becoming more pervasive throughout the globe as the prevalence of obesity increases worldwide. Moreover, there is increased recognition of the complications and mortality related to this syndrome. This paper looks to examine the link between metabolic syndrome and the development of chronic kidney disease.

scholarly journals The metabolic syndrome – What is it and how should it be managed?

2019 ◽  
Vol 26 (2_suppl) ◽  
pp. 33-46 ◽  
Author(s):  
Peter M Nilsson ◽  
Jaakko Tuomilehto ◽  
Lars Rydén
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Elevated Blood Pressure ◽  
Elevated Blood ◽  
Successful Management ◽  
Unhealthy Lifestyle ◽  
The Metabolic Syndrome ◽  
Frail Elderly People

A cluster of metabolic factors have been merged into an entity named the metabolic syndrome. Although the characteristics of this syndrome have varied over time the presently used definition was established in 2009. The presence of three abnormal findings out of five components qualifies a person for the metabolic syndrome: elevated waist circumference, elevated triglycerides, reduced high-density lipoprotein cholesterol, elevated blood pressure and elevated fasting plasma glucose. Cut points have been defined for all components apart from waist circumference, for which national or regional values are used. The metabolic syndrome predicts cardiovascular disease and type 2 diabetes. This associated risk does not exceed its components whereof elevated blood pressure is the most frequent. A successful management should, however, address all factors involved. The management is always based on healthy lifestyle choices but has not infrequently to be supported by pharmacological treatment, especially blood pressure lowering drugs. The metabolic syndrome is a useful example of the importance of multiple targets for preventive interventions. To be successful management has to be individualized not the least when it comes to pharmacological therapy. Frail elderly people should not be over-treated. Knowledge transfer of how risk factors act should be accompanied by continuous trust building and motivation. In complex situations with a mix of biological risk factors, adverse social conditions and unhealthy lifestyle, everything cannot be changed at once. It is better to aim for small steps that are lasting than large, unsustainable steps with relapses to unhealthy behaviours. A person with the metabolic syndrome will always be afflicted by its components, which is the reason that management has to be sustained over a very long time. This review summarizes the knowledge on the metabolic syndrome and its management according to present state of the art.

scholarly journals Association between components of metabolic syndrome with chronic kidney disease in Benin City, Nigeria

2018 ◽  
Vol 6 (5) ◽  
pp. 1655
Author(s):  
Oghenekaro G. Egbi ◽  
Evelyn I. Unuigbe ◽  
Efosa Oviasu
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Diastolic Blood Pressure ◽  
Body Mass ◽  
Univariate Analysis ◽  
Spot Urine ◽  
Benin City ◽  
The Metabolic Syndrome

Background: The metabolic syndrome (MetS) is a constellation of risk factors of metabolic origin that promote the development of cardiovascular disease. More recently, an association with chronic kidney disease (CKD) is being reported. However, most of these studies are non-indigenous. The aim of the study was to determine the association between components of MetS and CKD in a Nigerian population.Methods: Patients with MetS were recruited from a tertiary hospital in Benin City, Nigeria. Blood pressures and body mass indices were measured. Plasma glucose, serum lipids, urea and creatinine and spot urine albumin: creatinine ratio were analyzed. CKD was defined as estimated glomerular filtration rate <60mls/min+ urinary ACR >30mg/g creatinine.Results: Obesity, waist/hip ratio, diastolic blood pressure, total cholesterol and LDL-cholesterol were associated with CKD in univariate analysis. Body mass index and diastolic blood pressure were independent predictors of CKD. There was a relationship between the number of MetS traits and CKD.Conclusions: CKD in patients with MetS may therefore result from a synergistic effect of components of the syndrome. Diastolic blood pressure and obesity may predict CKD in MetS patients. Early detection and treatment of obesity and hypertension may thus be a strategy to target the increasing prevalence of renal disease in MetS.

The metabolic syndrome: setting the scene. The cons

2007 ◽  
Vol 4 (2_suppl) ◽  
pp. S4-S6 ◽  
Author(s):  
Naveed Sattar
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Risk Assessment ◽  
Metabolic Syndrome ◽  
Elevated Blood ◽  
Diabetes Screening ◽  
Cvd Risk ◽  
Treatment Benefit ◽  
The Metabolic Syndrome

Conclusion: Metabolic syndrome is conceptually useful. It has encouraged thought about the pathology of diabetes and cardiovascular disease, has facilitated research and has brought together cardiologists and diabetologists. But the criteria are neither needed nor additive for CVD risk assessment or diabetes screening or prediction. Neither are they needed to determine treatment benefit. Better options would be to measure and target established risk factors such as lipids, smoking and elevated blood pressure. We should also be thinking about obesity and its prevention, and to do this we need changes in food, activity and fiscal environments.

Association between Patients with Metabolic Syndrome and Other Various Factors Defining Metabolic Syndrome: A Cross-Sectional Study

2021 ◽  
Vol 8 (4) ◽  
pp. 12-17
Author(s):  
Basavaraj PG ◽  
Ashok P Yenkanchi ◽  
Chidanand Galagali
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Cardiovascular Diseases ◽  
Abdominal Obesity ◽  
Positive History ◽  
The Metabolic Syndrome ◽  
Study Results ◽  
History Of ◽  
The Mean

Background: Risk factors can lead to clinical conditions, like metabolic syndrome, that predisposes the development of cardiovascular diseases. Objective: The goal of this population-based, prospective and non-randomised cohort study was to study the association between patients with metabolic syndrome and other various factors defining metabolic syndrome. Methods: All the patients referred to the department of Medicine, Al-Ameen Medical college hospital and District Hospital, Vijayapur, Karnataka, India over a period of twenty-two months extending from December 2013 to September 2015 were considered in this study. Results: In the current study, out of 100 patients, 62.9% patients had metabolic syndrome with positive family history of hypertension, diabetes mellitus. 70.8% patients had metabolic syndrome with positive history of smoking. 64.3% patients had metabolic syndrome with positive history of alcohol .73.9% patients had metabolic syndrome with positive history of IHD. 87% of the patients with metabolic syndrome had SBP> 130 mmHg, and 78.85% patients had DBP>85 mmHg. And metabolic syndrome was observed in 71.8% patients on anti hypertensive drugs. The mean level of total cholesterol, LDL cholesterol, triglyceride is increased whereas the mean level of anti-atherogenic HDL cholesterol is low in subjects with MS. At least one lipid abnormality was present in > 95 % of cases. Around 81% subjects with BMI <25 (out of 38) had metabolic syndrome and 58% subjects with BMI>25(out of 62) had metabolic syndrome. Conclusion: All the components defining the metabolic syndrome correlated positively with the abdominal obesity. Systolic blood pressure values were significantly higher than diastolic blood pressure in subjects with abdominal obesity. Metabolic syndrome has multiple risk factors determined by various aspects like the race, the life style, geographical factors larger study is needed to understand the correlation between various components defining it. A healthy lifestyle, that includes avoiding tobacco exposure and proper weight control, must be encouraged in this high-risk population. Keywords: Cardiovascular diseases; Overweight; Risk factors; Smoking.

scholarly journals Identifying High-Risk Individuals for Chronic Kidney Disease: Results of the CHERISH Community Demonstration Project

2018 ◽  
Vol 48 (6) ◽  
pp. 447-455 ◽  
Author(s):  
Nilka Ríos Burrows ◽  
Joseph A. Vassalotti ◽  
Sharon H. Saydah ◽  
Rebecca Stewart ◽  
Monica Gannon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Demonstration Project ◽  
Screening Criteria ◽  
State And Local

Background: Most people with chronic kidney disease (CKD) are not aware of their condition. Objectives: To assess screening criteria in identifying a population with or at high risk for CKD and to determine their level of control of CKD risk factors. Method: CKD Health Evaluation Risk Information Sharing (CHERISH), a demonstration project of the Centers for Disease Control and Prevention, hosted screenings at 2 community locations in each of 4 states. People with diabetes, hypertension, or aged ≥50 years were eligible to participate. In addition to CKD, screening included testing and measures of hemoglobin A1C, blood pressure, and lipids. ­Results: In this targeted population, among 894 people screened, CKD prevalence was 34%. Of participants with diabetes, 61% had A1C < 7%; of those with hypertension, 23% had blood pressure < 130/80 mm Hg; and of those with high cholesterol, 22% had low-density lipoprotein < 100 mg/dL. Conclusions: Using targeted selection criteria and simple clinical measures, CHERISH successfully identified a population with a high CKD prevalence and with poor control of CKD risk factors. CHERISH may prove helpful to state and local programs in implementing CKD detection programs in their communities.

scholarly journals High TSH Level within Normal Range Is Associated with Obesity, Dyslipidemia, Hypertension, Inflammation, Hypercoagulability, and the Metabolic Syndrome: A Novel Cardiometabolic Marker

2019 ◽  
Vol 8 (6) ◽  
pp. 817 ◽  
Author(s):  
Yi-Cheng Chang ◽  
Shih-Che Hua ◽  
Chia-Hsuin Chang ◽  
Wei-Yi Kao ◽  
Hsiao-Lin Lee ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Central Obesity ◽  
Cardiometabolic Risk ◽  
Fasting Glucose ◽  
Reference Group ◽  
Elevated Blood ◽  
Normal Range ◽  
The Metabolic Syndrome

(1) Background: Overt and subclinical hypothyroidism has been associated with increased cardiometabolic risks. Here we further explore whether thyroid function within normal range is associated with cardiometabolic risk factors in a large population-based study. (2) Methods: We screened 24,765 adults participating in health examinations in Taiwan. Participants were grouped according to high-sensitive thyroid-stimulating hormone (hsTSH) level as: <50th percentile (0.47–1.48 mIU/L, the reference group), 50–60th percentile (1.49–1.68 mIU/L), 60–70th percentile (1.69–1.94 mIU/L), 70–80th percentile (1.95–2.3 mIU/L), 80–90th percentile (2.31–2.93 mIU/L), and >90th percentile (>2.93 mIU/L). Cardiometabolic traits of each percentile were compared with the reference group. (3) Results: Elevated hsTSH levels within normal range were dose-dependently associated with increased body mass index, body fat percentage, waist circumferences, blood pressure, hemoglobin A1c (HbA1c), fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), high homeostasis model of assessment of beta-cell (HOMA-β), triglycerides, total cholesterols, fibrinogen, and uric acids (p-for-trend <0.001), but not with fasting glucose levels. The association remained significant after adjustment of age, sex, and lifestyle. As compared to the reference group, subjects with the highest hsTSH percentile had significantly increased risk of being overweight (adjusted odds ratio (adjOR): 1.35), increased body fat (adjOR: 1.29), central obesity (adjOR: 1.36), elevated blood pressure (adjOR: 1.26), high HbA1c (adjOR: 1.20), hyperinsulinemia (adjOR: 1.75), increased HOMA-IR (adjOR: 1.45), increased HOMA-β (adjOR: 1.40), hypertriglyceridemia (adjOR: 1.60), hypercholesterolemia (adjOR: 1.25), elevated hsCRP (adjOR: 1.34), increased fibrinogen (adjOR: 1.45), hyperuricemia (adjOR: 1.47), and metabolic syndrome (adjOR: 1.42), but significant risk of low fasting glucose (adjOR: 0.89). Mediation analysis indicates that insulin resistance mediates the majority of the association between thyroid hormone status and the metabolic syndrome. (4) Conclusion: Elevated hsTSH within the normal range is a cardiometabolic risk marker associated with central obesity, insulin resistance, elevated blood pressure, dyslipidemia, hyperuricemia, inflammation, and hypercoagulability.

The metabolic syndrome and chronic kidney disease

2006 ◽  
Vol 15 (4) ◽  
pp. 361-365 ◽  
Author(s):  
Carmen A Peralta ◽  
Manjula Kurella ◽  
Joan C Lo ◽  
Glenn M Chertow
Keyword(s):  
Metabolic Syndrome ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
The Metabolic Syndrome
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