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Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes.
Delautre, A, Chantrel, F, Dimitrov, Y, Klein, A, Imhoff, O, Muller, C, Schauder, N, Hannedouche, T, Krummel, T
BMC nephrology. 2020;(1):343
Abstract
BACKGROUND In the general population, metabolic syndrome (MetS) is predictive of major adverse cardiovascular events (MACE). Waist circumference (WC), a component of the MetS criteria, is linked to visceral obesity, which in turn is associated with MACE. However, in haemodialysis (HD) patients, the association between MetS, WC and MACE is unclear. METHODS In a cross-sectional study of 1000 HD patients, we evaluated the prevalence and characterised the clinical predictors of MetS. The relationship between MetS and its components, alone or in combination, and MACE (coronary diseases, peripheral arteriopathy, stroke or cardiac failure), was studied using receiver operating characteristics (ROC) curves and logistic regression. RESULTS A total of 753 patients were included between October 2011 and April 2013. The prevalence of MetS was 68.5%. Waist circumference (> 88 cm in women, 102 cm in men) was the best predictor of MetS (sensitivity 80.2; specificity 82.3; AUC 0.80; p < 0.05). In multivariate analysis, MetS was associated with MACE (OR: 1.85; 95CI 1.24-2.75; p < 0.01), but not WC alone. There was a stronger association between the combination of abdominal obesity, hypertriglyceridaemia and low high-density lipoprotein cholesterol with MACE after exclusion of impaired fasting glucose and hypertension. CONCLUSIONS MetS is frequent and significantly associated with MACE in our haemodialysis cohort and probably in other European dialysis populations as well. In HD patients, a new simplified definition could be proposed in keeping with the concept of the "hypertriglyceridaemic waist".
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Prevalence of obesity, metabolic syndrome, diabetes and risk of cardiovascular disease in a psychiatric inpatient sample: results of the Metabolism in Psychiatry (MiP) Study.
Barton, BB, Zagler, A, Engl, K, Rihs, L, Musil, R
European archives of psychiatry and clinical neuroscience. 2020;(5):597-609
Abstract
The information on prevalence of obesity, diabetes, metabolic syndrome (MetS) and cardiovascular risk (CVR) and on sociodemographic variables available in patients with psychiatric diseases about to be treated with weight gain-associated medication (e.g., clozapine, mirtazapine, quetiapine) is limited. In a naturalistic study, psychiatric inpatients (age: 18-75) of all F diagnoses according to ICD-10, who were about to be treated with weight gain-associated medication, were included. Demographic variables were assessed as well as biological parameters to calculate the Body Mass Index (BMI), MetS, diabetes and CVR. A total of 163 inpatients were included (60.1% male; mean age: 39.8 (± 15.1, 18-75 years). The three most common disorders were depression (46.0%), bipolar disorder (20.9%) and drug addiction (20.2%). The three most common pharmacotherapeutic agents prescribed were quetiapine (29.4%), mirtazapine (20.9%) and risperidone (12.9%). Of the included inpatients 30.1% were overweight, 17.2% obese, and 26.9% and 22.4% fulfilled the criteria for a MetS according to the International Diabetes Federation (IDF) and the National Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (NCEP ATP III), respectively, 3.8% had (pre)diabetes and 8.3% had a moderate and 1.9% a high CVR according to the Prospective Cardiovascular Münster (PROCAM) score. Detailed information is reported on all assessed parameters as well as on subgroup analyses concerning sociodemographic variables. The results suggest that psychiatric patients suffer from multiple metabolic disturbances in comparison to the general population. Monitoring weight, waist circumference, blood pressure and cholesterol regularly is, therefore, highly relevant.
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Cardiometabolic health in offspring of women with PCOS compared to healthy controls: a systematic review and individual participant data meta-analysis.
Gunning, MN, Sir Petermann, T, Crisosto, N, van Rijn, BB, de Wilde, MA, Christ, JP, Uiterwaal, CSPM, de Jager, W, Eijkemans, MJC, Kunselman, AR, et al
Human reproduction update. 2020;(1):103-117
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Abstract
BACKGROUND Women diagnosed with polycystic ovary syndrome (PCOS) suffer from an unfavorable cardiometabolic risk profile, which is already established by child-bearing age. OBJECTIVE AND RATIONALE The aim of this systematic review along with an individual participant data meta-analysis is to evaluate whether cardiometabolic features in the offspring (females and males aged 1-18 years) of women with PCOS (OPCOS) are less favorable compared to the offspring of healthy controls. SEARCH METHODS PubMed, Embase and gray literature databases were searched by three authors independently (M.N.G., M.A.W and J.C.) (last updated on 1 February 2018). Relevant key terms such as 'offspring' and 'PCOS' were combined. Outcomes were age-specific standardized scores of various cardiometabolic parameters: BMI, blood pressure, glucose, insulin, lipid profile and the sum scores of various cardiometabolic features (metabolic sum score). Linear mixed models were used for analyses with standardized beta (β) as outcome. OUTCOMES Nine relevant observational studies could be identified, which jointly included 1367 children: OPCOS and controls, originating from the Netherlands, Chile and the USA. After excluding neonates, duplicate records and follow-up screenings, a total of 885 subjects remained. In adjusted analyses, we observed that OPCOS (n = 298) exhibited increased plasma levels of fasting insulin (β = 0.21(95%CI: 0.01-0.41), P = 0.05), insulin-resistance (β = 0.21(95%CI: 0.01-0.42), P = 0.04), triglycerides (β = 0.19(95%CI: 0.02-0.36), P = 0.03) and high-density lipoprotein (HDL)-cholesterol concentrations (β = 0.31(95%CI: 0.08-0.54), P < 0.01), but a reduced birthweight (β = -116(95%CI: -195 to 38), P < 0.01) compared to controls (n = 587). After correction for multiple testing, however, differences in insulin and triglycerides lost their statistical significance. Interaction tests for sex revealed differences between males and females when comparing OPCOS versus controls. A higher 2-hour fasting insulin was observed among female OPCOS versus female controls (estimated difference for females (βf) = 0.45(95%CI: 0.07 to 0.83)) compared to the estimated difference between males ((βm) = -0.20(95%CI: -0.58 to 0.19)), with interaction-test: P = 0.03. Low-density lipoprotein-cholesterol differences in OPCOS versus controls were lower among females (βf = -0.39(95%CI: -0.62 to 0.16)), but comparable between male OPCOS and male controls (βm = 0.27(95%CI: -0.03 to 0.57)), with interaction-test: P < 0.01. Total cholesterol differences in OPCOS versus controls were also lower in females compared to the difference in male OPCOS and male controls (βf = -0.31(95%CI: -0.57 to 0.06), βm = 0.28(95%CI: -0.01 to 0.56), interaction-test: P = 0.01). The difference in HDL-cholesterol among female OPCOS versus controls (βf = 0.53(95%CI: 0.18-0.88)) was larger compared to the estimated mean difference among OPCOS males and the male controls (βm = 0.13(95%CI: -0.05-0.31), interaction-test: P < 0.01). Interaction test in metabolic sum score revealed a significant difference between females (OPCOS versus controls) and males (OPCOS versus controls); however, sub analyses performed in both sexes separately did not reveal a difference among females (OPCOS versus controls: βf = -0.14(95%CI: -1.05 to 0.77)) or males (OPCOS versus controls: βm = 0.85(95%CI: -0.10 to 1.79)), with P-value < 0.01. WIDER IMPLICATIONS We observed subtle signs of altered cardiometabolic health in OPCOS. Therefore, the unfavorable cardiovascular profile of women with PCOS at childbearing age may-next to a genetic predisposition-influence the health of their offspring. Sensitivity analyses revealed that these differences were predominantly observed among female offspring aged between 1 and 18 years. Moreover, studies with minimal risk of bias should elucidate the influence of a PCOS diagnosis in mothers on both sexes during fetal development and subsequently during childhood.
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Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis.
Sequi-Dominguez, I, Alvarez-Bueno, C, Martinez-Vizcaino, V, Fernandez-Rodriguez, R, Del Saz Lara, A, Cavero-Redondo, I
Journal of medical Internet research. 2020;(8):e17790
Abstract
BACKGROUND Physical activity and lifestyle interventions, such as a healthy diet, have been proven to be effective approaches to manage metabolic syndrome. However, these interventions require great commitment from patients and clinicians owing to their economic costs, time consumption, and lack of immediate results. OBJECTIVE The aim of this systematic review and meta-analysis was to analyze the effect of mobile-based health interventions for reducing cardiometabolic risk through the promotion of physical activity and healthy lifestyle behaviors. METHODS PubMed, Scopus, Web of Science, Cochrane Central Register of Controlled Trials, and SPORTdiscus databases were searched for experimental studies evaluating cardiometabolic risk indicators among individuals with metabolic syndrome who were included in technology-assisted physical activity and lifestyle interventions. Effect sizes, pooled mean changes, and their respective 95% CIs were calculated using the DerSimonian and Laird method. Outcomes included the following clinical and biochemical parameters: body composition (waist circumference [WC] and BMI), blood pressure (systolic blood pressure [SBP] and diastolic blood pressure [DBP]), glucose tolerance (fasting plasma glucose [FPG] and glycated hemoglobin A1c [HbA1c]), and lipid profile (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol [HDL-C], and triglycerides). RESULTS A total of nine studies were included in the meta-analysis. Owing to the scarcity of studies, only pooled mean pre-post changes in the intervention groups were estimated. Significant mean changes were observed for BMI (-1.70 kg/m2, 95% CI -3.20 to -0.20; effect size: -0.46; P=.03), WC (-5.77 cm, 95% CI -9.76 to -1.77; effect size: -0.54; P=.005), SBP (-7.33 mmHg, 95% CI -13.25 to -1.42; effect size: -0.43; P=.02), DBP (-3.90 mmHg, 95% CI -7.70 to -0.11; effect size: -0.44; P=.04), FPG (-3.65 mg/dL, 95% CI -4.79 to -2.51; effect size: -0.39; P<.001), and HDL-C (4.19 mg/dL, 95% CI 2.43-5.95; effect size: 0.23; P<.001). CONCLUSIONS Overall, mobile-based health interventions aimed at promoting physical activity and healthy lifestyle changes had a strong positive effect on cardiometabolic risk indicators among individuals with metabolic syndrome. Nevertheless, further research is required to compare this approach with usual care in order to support the incorporation of these technologies in health systems. TRIAL REGISTRATION PROSPERO CRD42019125461; https://tinyurl.com/y3t4wog4.
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Metabolically Healthy Obesity: Criteria, Epidemiology, Controversies, and Consequences.
Tsatsoulis, A, Paschou, SA
Current obesity reports. 2020;(2):109-120
Abstract
PURPOSE OF REVIEW To present a comprehensive overview regarding criteria, epidemiology, and controversies that have arisen in the literature about the existence and the natural course of the metabolic healthy phenotype. RECENT FINDINGS The concept of metabolically healthy obesity (MHO) implies that a subgroup of obese individuals may be free of the cardio-metabolic risk factors that commonly accompany obese subjects with adipose tissue dysfunction and insulin resistance, known as having metabolic syndrome or the metabolically unhealthy obesity (MUO) phenotype. Individuals with MHO appear to have a better adipose tissue function, and are more insulin sensitive, emphasizing the central role of adipose tissue function in metabolic health. The reported prevalence of MHO varies widely, and this is likely due the lack of universally accepted criteria for the definition of metabolic health and obesity. Also, the natural course and the prognostic value of MHO is hotly debated but it appears that it likely evolves towards MUO, carrying an increased risk for cardiovascular disease and mortality over time. Understanding the pathophysiology and the determinants of metabolic health in obesity will allow a better definition of the MHO phenotype. Furthermore, stratification of obese subjects, based on metabolic health status, will be useful to identify high-risk individuals or subgroups and to optimize prevention and treatment strategies to compact cardio-metabolic diseases.
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Sleep duration and cardiovascular risk factors in children and adolescents: A systematic review.
Sun, J, Wang, M, Yang, L, Zhao, M, Bovet, P, Xi, B
Sleep medicine reviews. 2020;:101338
Abstract
An association between short sleep duration and cardiovascular risk factors and outcomes is well demonstrated in adults. However, findings on the association in children and adolescents have been inconsistent. In this review, we searched PubMed, Embase and ISI Web of Science for eligible publications until March 16, 2020. We identified 37 reviews/meta-analyses on the association between sleep duration and cardiovascular risk factors and 15 studies on the association between sleep duration and metabolic syndrome (MetS) in children and adolescents. We found strong evidence on the association between short sleep duration and increased adiposity markers and high blood pressure, some evidence on the association between short sleep duration and insulin resistance, but inconsistent findings on the association between sleep duration and blood lipids, inflammation and MetS. Although more studies are needed to further assess the association between sleep duration and selected cardiovascular risk factors, our findings support interventions to improve sleep duration and quality as a potential means to promote cardiovascular health in children and adolescents.
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The effects of Prickly Pear fruit and cladode (Opuntia spp.) consumption on blood lipids: A systematic review.
Gouws, C, Mortazavi, R, Mellor, D, McKune, A, Naumovski, N
Complementary therapies in medicine. 2020;:102384
Abstract
BACKGROUND The current dietary recommendations for cardiovascular disease (CVD) risk reduction include increased fruit and vegetable consumption. The Opuntia spp., Prickly Pear (PP) fruit is rich in dietary fiber and may have lipid-lowering effects but it is often confused with the PP stem/leaf (Cladode (CLD)), or not identified. The efficacy of the PP fruit and CLD in reducing CVD risk is a growing area of research. METHODS This systematic review (PROSPERO CRD42018110643), examined the effects of consuming the Opuntia spp. components (PP or CLD) on CVD risk factors, specifically total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG). The review, performed from February through September 2019, used resources available through Food Science and Technology Abstracts (EBSCO), Medline, Scopus, CINAHL, Web of Science and Cochrane databases. RESULTS AND DISCUSSION Eleven articles met the inclusion criteria, which characterised Opuntia spp. products as either PP (n = 6), CLD (n = 4) or commercial products' (n=1). Effects were investigated in healthy and obese populations as well as those with metabolic illnesses, specifically type 2 diabetes and metabolic syndrome. PP consumption was associated with significant reductions in TC (p < 0.05) in all but one included study, whereas in the remaining studies (n=6), LDL-C levels decreased (p < 0.05). Separately, the effect of CLD consumption on lipids was small with one study reporting a significant increase in plasma HDL-C in a subgroup of participants (>45 years of age) following consumption of a patented CLD powder product. It is plausible, that differences in overall effect may be due to compositional distinctions between CLD and PP, such as fiber composition. Care must be taken in future studies to accurately report the identity of the selected components of Opuntia spp.
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Effects of a 3-Week In-Hospital Body Weight Reduction Program on Cardiovascular Risk Factors, Muscle Performance, and Fatigue: A Retrospective Study in a Population of Obese Adults with or without Metabolic Syndrome.
Rigamonti, AE, Cicolini, S, Caroli, D, De Col, A, Scacchi, M, Cella, SG, Sartorio, A
Nutrients. 2020;(5)
Abstract
BACKGROUND In clinical practice, there is the diffuse conviction that obese subjects with metabolic syndrome may be more difficult to treat. OBJECTIVES AND METHODS The aim of the present study was that to investigate the effectiveness of a 3-week in-hospital body weight reduction program (BWRP) in a large population of obese subjects with and without metabolic syndrome (n = 1922; 222 men and 1700 women, age range 18-83 yr). Outcomes such as body mass index (BMI), total (TOT) and HDL cholesterol, systolic and diastolic blood pressures (SBP and DBP, respectively), coronary heart disease (CHD) score, fatigue severity score (FSS), and stair climbing test (SCT) time were evaluated before and after the intervention (Δ). A sex-, BMI-, and age-related stratification of the obese population with or without metabolic syndrome was applied. RESULTS When compared to obese subjects without metabolic syndrome, at the basal conditions, obese subjects had a poorer cardiometabolic profile, as demonstrated by higher triglycerides, TOT-cholesterol, DBP, SBP, and CHD score, and a more compromised muscle performance (evaluated by SCT), associated with more perception of fatigue (measured by FSS). Nevertheless, obese subjects with metabolic syndrome obtained more benefits from BWRP than those without metabolic syndrome for some outcomes (i.e., ΔTOT-cholesterol, ΔSBP, and ΔCHD score). Despite these differences, the BWRP-induced weight loss was similar between the two groups (i.e., ΔBMI) as well as the gain of muscle performance (i.e., ΔSCT) and the reduction of fatigue (i.e., ΔFSS). Interestingly, the potentially deleterious fall in HDL-cholesterol levels after BWRP was less evident in obese subjects with metabolic syndrome than those without metabolic syndrome. When pooling all data, the ΔCHD score was associated with age, sex, and metabolic syndrome. The remaining outcomes, such as ΔBMI, ΔFSS, and ΔSCT time, were associated with sex and age but not with metabolic syndrome. Finally, ΔBMI was positively correlated with ΔCHD score, ΔFSS, and ΔSCT time in both obese subjects without metabolic syndrome and obese subjects with metabolic syndrome. CONCLUSIONS When comparing obese subjects undergoing a BWRP, metabolic syndrome is not a negative predictive factor affecting the effectiveness of this intervention in terms of weight loss, muscle performance, and psychological well-being.
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Effects of Bilberry Supplementation on Metabolic and Cardiovascular Disease Risk.
Chan, SW, Tomlinson, B
Molecules (Basel, Switzerland). 2020;(7)
Abstract
Metabolic syndrome is a cluster of interrelated conditions that is associated with an increased risk of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Oxidative stress may impair normal physiological functions, leading to various illnesses. T2DM is considered to be associated with increased oxidative stress, inflammation, and dyslipidemia, which may play a significant role in the development of cardiovascular complications, cancer and vision loss through cataracts and retinopathy. While conventional therapies are a cornerstone for the management of the major risk factors of metabolic syndrome, increasing antioxidant defense by increasing intake of antioxidant-rich foods may improve long term prospects in CVD, obesity and T2DM. Bilberry (Vaccinium myrtillus L.) is one of the richest natural sources of anthocyanins which give berries their red/purple/blue coloration. Anthocyanins are powerful antioxidants and are reported to play an important role in the prevention of metabolic disease and CVD as well as cancer and other conditions. This review focuses on the potential effects of bilberry supplementation on metabolic and cardiovascular risk factors. Although there is evidence to support the use of bilberry supplementation as part of a healthy diet, the potential benefits from the use of bilberry supplementation in patients with T2DM or CVD needs to be clarified in large clinical trials.
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The Type and Amount of Dietary Fat Affect Plasma Factor VIIc, Fibrinogen, and PAI-1 in Healthy Individuals and Individuals at High Cardiovascular Disease Risk: 2 Randomized Controlled Trials.
Kris-Etherton, PM, Stewart, PW, Ginsberg, HN, Tracy, RP, Lefevre, M, Elmer, PJ, Berglund, L, Ershow, AG, Pearson, TA, Ramakrishnan, R, et al
The Journal of nutrition. 2020;(8):2089-2100
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BACKGROUND Factor VIIc, fibrinogen, and plasminogen activator inhibitor 1 (PAI-1) are cardiovascular disease (CVD) risk factors and are modulated, in part, by fat type and amount. OBJECTIVE We evaluated fat type and amount on the primary outcomes: factor VIIc, fibrinogen, and PAI-1. METHODS In the Dietary Effects on Lipoproteins and Thrombogenic Activity (DELTA) Trial, 2 controlled crossover feeding studies evaluated substituting carbohydrate or MUFAs for SFAs. Study 1: healthy participants (n = 103) were provided with (8 wk) an average American diet [AAD; designed to provide 37% of energy (%E) as fat, 16% SFA], a Step 1 diet (30%E fat, 9% SFA), and a diet low in SFA (Low-Sat; 26%E fat, 5% SFA). Study 2: participants (n = 85) at risk for CVD and metabolic syndrome (MetSyn) were provided with (7 wk) an AAD, a step 1 diet, and a high-MUFA diet (designed to provide 37%E fat, 8% SFA, 22% MUFA). RESULTS Study 1: compared with AAD, the Step 1 and Low-Sat diets decreased mean factor VIIc by 1.8% and 2.6% (overall P = 0.0001), increased mean fibrinogen by 1.2% and 2.8% (P = 0.0141), and increased mean square root PAI-1 by 0.0% and 6.0% (P = 0.0037), respectively. Study 2: compared with AAD, the Step 1 and high-MUFA diets decreased mean factor VIIc by 4.1% and 3.2% (overall P < 0.0001), increased mean fibrinogen by 3.9% and 1.5% (P = 0.0083), and increased mean square-root PAI-1 by 2.0% and 5.8% (P = 0.1319), respectively. CONCLUSIONS Replacing SFA with carbohydrate decreased factor VIIc and increased fibrinogen in healthy and metabolically unhealthy individuals and also increased PAI-1 in healthy subjects. Replacing SFA with MUFA decreased factor VIIc and increased fibrinogen but less than carbohydrate. Our results indicate an uncertain effect of replacing SFA with carbohydrate or MUFA on cardiometabolic risk because of small changes in hemostatic factors and directionally different responses to decreasing SFA. This trial was registered at https://clinicaltrials.gov/ct2/show/NCT00000538?term=NCT00000538&rank=1 as NCT00000538.