scholarly journals A metabolic syndrome severity score to estimate risk in adolescents and adults: current evidence and future potential

2016 ◽  
Vol 14 (4) ◽  
pp. 411-413 ◽  
Author(s):  
Arthur M. Lee ◽  
Matthew J. Gurka ◽  
Mark D. DeBoer
Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 618-P
Author(s):  
GIUSEPPE PENNO ◽  
MONIA GAROFOLO ◽  
ROSA GIANNARELLI ◽  
FABRIZIO CAMPI ◽  
DANIELA LUCCHESI ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 453-P
Author(s):  
MONIA GAROFOLO ◽  
ELISA GUALDANI ◽  
DANIELA LUCCHESI ◽  
LAURA GIUSTI ◽  
VERONICA SANCHO-BORNEZ ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Gemma Chiva-Blanch ◽  
Lina Badimon

Metabolic syndrome (MetS) is a cluster of cardiovascular risk factors which severely increases the risk of type II diabetes and cardiovascular disease. Several epidemiological studies have observed a negative association between polyphenol intake and MetS rates. Nevertheless, there are relatively small numbers of interventional studies evidencing this association. This review is focused on human interventional trials with polyphenols as polyphenol-rich foods and dietary patterns rich in polyphenols in patients with MetS. Current evidence suggests that polyphenol intake has the potential to alleviate MetS components by decreasing body weight, blood pressure, and blood glucose and by improving lipid metabolism. Therefore, high intake of polyphenol-rich foods such as nuts, fruits, vegetables, seasoning with aromatic plants, spices, and virgin olive oil may be the cornerstone of a healthy diet preventing the development and progression of MetS, although there is no polyphenol or polyphenol-rich food able to influence all MetS features. However, inconsistent results have been found in different trials, and more long-term randomized trials are warranted to develop public health strategies to decrease MetS rates.


2018 ◽  
Vol 18 (10) ◽  
Author(s):  
Rani Polak ◽  
Amir Tirosh ◽  
Barbara Livingston ◽  
David Pober ◽  
James E. Eubanks ◽  
...  

Author(s):  
Maha Mezied ◽  
Norah Alnasser ◽  
Reema Al Owaid ◽  
Rand Bakhsh ◽  
Lama Alkhudhayr ◽  
...  

The accuracy of the intraoral digital impression systems has been previously reported to refer to the quality of the obtained data from the related scanning procedures, irrespective of the quality of the clinical outcomes and the estimated costs. Trueness and precision have been frequently found among studies in the literature as two terms describing the accuracy of the intraoral digital impression systems. Various digital impression modalities have been proposed among studies in the literature and were investigated for estimation of their accuracy. The paper aims to review and discuss the most common literature regarding the current common systems and their accuracy among the different studies in the literature. According to the results, Chairside Economical Restoration of Esthetic Ceramic (CEREC) systems appear to have the highest estimated rates of trueness and precision as compared to the other modalities while the iTero system appears to have the lowest estimated rates. However, some studies have reported contradicting results and the current evidence is mainly based on findings from in vitro investigations. Accordingly, further studies might be needed for further validation of the current evidence and strengthening the quality of the future potential implications for clinicians. 


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Yong Shen ◽  
Stephanie Filipp ◽  
Matthew J Gurka ◽  
Mark D DeBoer ◽  
Thomas A Pearson

Introduction: Diabetes patients are at risk for clinical Myocardial Infarction (MI) and have a larger proportion being silent Myocardial Infarction. However, less is known about the impact of Metabolic Syndrome (MetS, also known as prediabetes) on the incidence of silent MI. Here, we studied whether the degree of MetS severity can be predictive for future risk of silent MI. Methods: 12,527 ARIC study participants who are free of coronary heart diseases (CHD) and diabetes at baseline (1987-1989) were included for the analysis. Silent MI was determined by ECG serial changes of MI without prior clinical history of MI. A continuous MetS severity score was formulated from the integration of MetS components to assess its prediction for future silent MI and clinical MI. Results and Conclusions: 458 participants (3.7%, 458 of 12,527) developed clinical MI and 87 (0.7%, 87 of 12,527) were diagnosed with silent MI until ARIC visit 4 (1996-1998). Within the 10 years follow-up period, gender, smoking status, MetS components (waist circumference, blood pressure, HDL cholesterol) and the integrated MetS severity score were identified as significant risk factors for the incidence of both silent MI and clinical MI. Participants with MetS had a significant adjusted HR for incident silent MI (HR = 1.98, 95% CI: [1.30, 3.02], p=0.0015) as compared to clinical MI (HR = 1.67, 95% CI: [1.39, 2.00], p<0.0001). The 10-year risk scoring equations of silent MI and clinical MI were constructed as a multivariate predictive tool based on MetS severity score. In conclusion, higher MetS severity score is associated with further risk of both clinical and silent MI, identifying the potential clinical application of MetS severity score in MI prevention.


Author(s):  
Chih-Ming Lin

A metabolic syndrome (MS) diagnosis was made when the criteria for three or more of five MS components were met. Due to some limitations in the traditional MS criteria, however, different health care societies have sought to develop applicable MS scoring systems instead. Continuous MS scores can be of meaningful value in the prevention, diagnosis, and treatment of MS at different life stages. Relatedly, this study used a database for 27,748 subjects aged 20 to 64 years who received health checks at a health screening institution in Taiwan from 2010 to 2015 to a similar end. Five components of MS (waist circumference, fasting plasma glucose, blood pressure, fasting triglycerides, and high-density lipoprotein) were used to formulate an MS severity score in different gender and age stratums, which was then used to evaluate the risks of various lifestyle habits. Those estimates were then compared with the results for traditional MS diagnosis. The MS severity scores for some behaviors relating to smoking, drinking, physical activity, and sweetened beverage consumption were found to have changed from 0.03 to 0.2; however, a logistic regression analysis with dichotomous diagnosis did not indicate significant links between these behaviors and MS. The models established by the MS severity scores can identify the risk factors for MS in a more sensitive manner than the traditional MS diagnosis can, especially with respect to specific lifestyle habits. MS severity score can serve as an indicator to explore the potential risk factors for subclinical conditions in the early stages of MS.


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