scholarly journals Predicting Value of Perirenal Fat Thickness for Metabolic Syndrome in Patients with Newly-Diagnosed Type 2 Diabetes

2021 ◽  
Author(s):  
Xiu Li Guo ◽  
Mei Tu ◽  
Yang Chen ◽  
Wei Wang
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Predictive Value ◽  
Roc Curves ◽  
Metabolic Risk ◽  
Newly Diagnosed ◽  
Fat Thickness ◽  
Perirenal Fat

Abstract Objective Increasing evidences suggested that perirenal fat thickness (PrFT) was associated with metabolic risk factors, this study aimed to assess the association between PrFT with components of metabolic syndrome (MetS) and explore the value of PrFT in predicting MetS among Newly-Diagnosed type 2 diabetes(T2DM). Method A total of 445 patients with Newly-Diagnosed T2DM from southern China were enrolled into this study. Demographic and anthropometric information were collected. PrFT was evaluated by CT scanning on Revolution VCT 64. Binomial logistic regression analysis and receiver operating characteristics (ROC) curves were conducted to assess the value and optimal cutoff of PrFT for predicting MetS divided by sex. Results The prevalence of MetS was 58.2% in Newly-Diagnosed T2DM.Correlation analysis showed that PrFT was significantly correlated with metabolic risk factors (BMI, WC, TG, HDL-c, SBP, DBP, UA and HOMA-IR). PrFT was also shown to be independently associated with MetS after adjustment for other confounders, the ORs(95%CI) were 1.33(1.01~1.74) in men and 1.53(1.08~2.17) in women(P<0.05). ROC curves showed a good predictive value of PrFT for MetS, the the areas under the curve of ROC values of PrFT predicting MetS were 0.895(95% CI 0.852~0.939) in men and 0.910(95% CI 0.876~0.953) in women(P<0.001). The optimal cut-off values of PrFT were 14.6 mm (sensitivity: 83.8%, specificity: 89.6%) for men and 13.1 mm (sensitivity: 87.6%, specificity: 91.1%) for women. Conclusions PrFT was significantly independent with MetS and showed a powerful predictive value for MetS, which suggested PrFT could be a potential indicator to help clinicians to screen high-risk groups in Newly-Diagnosed T2DM. Clinical Trial Registration: This study was registered in Clinical Trials. Gov (ChiCTR2100052032).

Metabolic Syndrome and Ethnic Groups Second edition

2021 ◽  
Author(s):  
Mohammadhosain Afrand ◽  
Mohammad Afkhami-Ardekani ◽  
Ahmad Shojaoddiny-Ardekani ◽  
Azita Ariaeinejad
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Preventive Measures ◽  
Lifestyle Modification ◽  
Treatment Strategies ◽  
Subsequent Development ◽  
Metabolic Risk

Metabolic syndrome is defined as the co-occurrence of metabolic risk factors for both type 2 diabetes and cardiovascular disease (i.e. abdominal obesity, hyperglycemia, dyslipidemia, and hypertension). Indeed, metabolic syndrome is an important risk factor for subsequent development of type 2 diabetes and/or CVD. Thus, the key clinical implication of a diagnosis of metabolic syndrome is the identification of a patient who needs aggressive lifestyle modification focused on weight reduction and increased physical activity. Multiple different phenotypes and ethnic-specific values for waist circumference are included within metabolic syndrome, with indications for differing treatment strategies. This book covers several aspects of metabolic syndrome, including its definition, diagnostic criteria, preventive measures, and treatment, as well as the possible association between ethnicity and the occurrence of metabolic syndrome.

Association of serum Sestrin2 level with metabolic risk factors in newly diagnosed drug-naïve type 2 diabetes

2018 ◽  
Vol 144 ◽  
pp. 34-41 ◽  
Author(s):  
Hye Soo Chung ◽  
Hwan-Jin Hwang ◽  
Soon Young Hwang ◽  
Nam Hoon Kim ◽  
Ji A. Seo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Newly Diagnosed ◽  
Drug Naïve

Association of Serum Sestrin2 Level with Metabolic Risk Factors in Newly Diagnosed Drug-Naïve Type 2 Diabetes

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 464-P
Author(s):  
HYE SOO CHUNG ◽  
EUN ROH ◽  
SO-HYEON HONG ◽  
JUNG A. KIM ◽  
YOU-BIN LEE ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Newly Diagnosed ◽  
Drug Naïve

Effect of Pilates Exercise on Cardio Metabolic Risk Factors in Women with Type 2 Diabetes

2019 ◽  
Vol 87 (March) ◽  
pp. 851-851
Author(s):  
YASMIN M. ABD EL-MONIM, M.Sc. NESREEN G. EL-NAHAS, Ph.D. ◽  
SALLY A. HAKEM, M.D.
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals Early vascular aging risk assessment in patients with metabolic syndrome

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Salasyuk ◽  
S Nedogoda ◽  
I Barykina ◽  
V Lutova ◽  
E Popova
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Metabolic Syndrome ◽  
Vascular Aging ◽  
Clinical Markers ◽  
Cvd Risk ◽  
Vascular Age

Abstract Background Metabolic syndrome (MetS) and abdominal obesity are one of the most common CVD risk factors among young and mature patients. However, the currently used CVD risk assessment scales may underestimate the CV risk in people with obesity and MS. Early vascular aging rather than chronological aging can conceptually offer better risk prediction. MetS, as accumulation of classical risk factors, leads to acceleration of early vascular aging. Since an important feature of MetS is its reversibility, an adequate risk assessment and early start of therapy is important in relation to the possibilities of preventing related complications. Purpose To derive a new score for calculation vascular age and predicting EVA in patients with MetS. Methods Prospective open cohort study using routinely collected data from general practice. The derivation cohort consisted of 1000 patients, aged 35–80 years with MetS (IDF,2005 criteria). The validation cohort consisted of 484 patients with MetS and carotid-femoral pulse wave velocity (cfPWV) values exceeding expected for average age values by 2 or more SD (EVA syndrome). Results In univariate analysis, EVA was significantly correlated with the presence of type 2 diabetes and clinical markers of insulin resistance (IR), body mass index (BMI), metabolic syndrome severity score (MetS z-score), uric acid (UA) level, hsCRP, HOMA-IR, total cholesterol (TC), triglycerides (TG), heart rate (HR), central aortic blood pressure (CBP), diastolic blood pressure (DBP). Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of EVA; the odds ratios were 2.75 (95% CI: 2.34, 3.35) and 1.57 (95% CI: 1.16, 2.00), respectively. In addition, the risk of having EVA increased by 76% with an increase in HOMA-IR by 1 unit, by 17% with an increase in hsCRP by 1 mg/l, by 4% with an increase in DBP by 1 mm Hg, and by 1% with each 1 μmol / L increase in the level of UA. The area under the curve for predicting EVA in patients with MetS was 0,949 (95% CI 0,936 to 0,963), 0,630 (95% CI 0,589 to 0,671), 0,697 (95% CI 0,659 to 0,736) and 0,686 (95% CI 0,647 to 0,726), for vascular age, calculated from cfPWV, SCORE scale, QRISK-3 scale and Framingham scale, respectively. Diabetes mellitus and clinical markers of IR (yes/no), HOMA-IR and UA level were used to develop a new VAmets score for EVA prediction providing a total accuracy of 0.830 (95% CI 0,799 to 0,860). Conclusion cfPWV at present the most widely studied index of arterial stiffness, fulfills most of the stringent criteria for a clinically useful biomarker of EVA in patients with MetS. Although, parallel efforts for effective integration simple clinical score into clinical practice have been offered. Our score (VAmets) may accurately identify patients with MetS and EVA on the basis of widely available clinical variables and classic cardiovascular risk factors can prioritize using of vascular age in routine care. ROC-curves for predicting EVA in MetS Funding Acknowledgement Type of funding source: None

scholarly journals Study on health risk factors as a basis to implement programs that promote a nutritional culture in students of the la Sabana University

2021 ◽  
pp. 89-94
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Chemistry ◽  
Monitoring And Control ◽  
The Metabolic Syndrome

Background. Nowadays the importance of lifestyles in the prevention of type 2 diabetes and the metabolic syndrome has been largely accertained. Objective. The purpose of our work is to implement programs that promote a nutritional culture in adolescents and young adults of the La Sabana University. Methods. The methodology entailed, after the corresponding informed consent, taking measures of the triceps and supraescapular skinfolds, waist circumference, body mass index (BMI), lean mass, and fat mass. Fasting blood samples were also taken to quantify cholesterol, triglycerides, high density lipoprotein (HDL) and low density lipoprotein (LDL). Results. The results obtained show that of the 165 students, 10.3% were underweight, 13.93% were overweight and 0.6% were obese. With regards to gender, 4.8% of the men and 9% of the women were overweight, 3% of the men and 7.2% of the women were underweight, and 0.6% of the women were obese. The blood chemistry showed that 30% had hypercholesterolemia, 18% hypertriglyceridemia, 17% reported low HDL levels and 67% reported high LDL levels. Of all the cases studied, 40% are at risk of a metabolic syndrome. 60% claimed not to practice any physical activity - especially women who reported 44.70%. Conclusions. These findings have allowed us at the institution to implement a culture of healthy habits. The have also allowed us to identify students with risk factors for type 2 diabetes and metabolic syndrome. This is why the cardiometabolic monitoring and control based on healthy eating and physical activity are important.

scholarly journals A prospective study of complications in newly diagnosed type 2 diabetes mellitus patients of lower socioeconomic group with special reference to microvascular complication and metabolic syndrome

2019 ◽  
Vol 7 (6) ◽  
pp. 2227
Author(s):  
K. Satya Anand ◽  
Ruksana . ◽  
Anand Acharya
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Age Group ◽  
Socioeconomic Group ◽  
Newly Diagnosed ◽  
The Mean ◽  
Symptomatic Neuropathy

Background: All these metabolic derangements exist for many years in the asymptomatic phase of type 2 diabetes and they predispose to development of complications even before clinical diagnosis. Metabolic syndrome is considered to be a precursor of type 2 diabetes. Present study is primarily aimed to study the prevalence of micro vascular complications and metabolic syndrome in newly diagnosed type 2 diabetes mellitus patients of low socio-economic group.Methods: This is a cross sectional prospective study conducted in the dept. of general medicine Konaseema institute of medical science Amalapuram, Andhra Pradesh, India from November 2016 to October 2018. Based on exclusion and inclusion criteria 103 patients were enrolled for this study. Various parameters like age, sex, body mass index, waist circumference, lipid profile, systolic and diastolic blood pressure, neuropathy, nephropathy and retinopathy was measured.Results: The mean age of the patient was 48±10.0 years. Fasting and 2 hours OGTT was 174.6±46.8 mg/dl and 255.6±75.6 mg/dl. The mean of total cholesterol was 204.7±41.9 (mg/dl), Triglycerides was 218±83.4 (mg/dl) and HDL was 44±5.3 (mg/dl). Symptomatic neuropathy constituted 35.6% in 51-60 age group and 27.1% in 31-40 and 41-50 age groups. Objective neuropathy constituted highest (36.6%) in 51-60 age group. Retinopathy constituted highest (60%) in 51-60 age group and nephropathy constituted 26.3 % in 21-30 and 51-60 age groups.Conclusions: Prevalence of microvascular complications in newly diagnosed diabetics of low socioeconomic group were as follows: symptomatic neuropathy-57.3%, objective neuropathy-39.8%, retinopathy-4.9%, nephropathy-18.4%. These were similar to published studies from general population from the same geographical area.

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