scholarly journals The stool microbiota of insulin resistant women with recent gestational diabetes, a high risk group for type 2 diabetes

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Marina Fugmann ◽  
Michaela Breier ◽  
Marietta Rottenkolber ◽  
Friederike Banning ◽  
Uta Ferrari ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Gestational Diabetes ◽  
Risk Group ◽  
High Risk Group ◽  
Insulin Resistant ◽  
Stool Microbiota

scholarly journals MO048MULTICENTRE PROSPECTIVE VALIDATION OF THE URINARY PEPTIDOME-BASED CLASSIFIER CKD273 AS A PREDICTOR OF RENAL FUNCTION DECLINE IN SUBJECTS WITH TYPE 2 DIABETES

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Morten Lindhardt ◽  
Nete Tofte ◽  
Gemma Currie ◽  
Marie Frimodt-Moeller ◽  
Heiko Von der Leyen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Renal Function ◽  
High Risk ◽  
Risk Group ◽  
Cox Model ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Renal Function Decline

Abstract Background and Aims In the PRIORITY study, it was recently demonstrated that the urinary peptidome-based classifier CKD273 was associated with increased risk for progression to microalbuminuria. As a prespecified secondary outcome, we aim to evaluate the classifier CKD273 as a determinant of relative reductions in eGFR (CKD-EPI) of 30% and 40% from baseline, at one timepoint without requirements of confirmation. Method The ‘Proteomic prediction and Renin angiotensin aldosterone system Inhibition prevention Of early diabetic nephRopathy In TYpe 2 diabetic patients with normoalbuminuria trial’ (PRIORITY) is the first prospective observational study to evaluate the early detection of diabetic kidney disease in subjects with type 2 diabetes (T2D) and normoalbuminuria using the CKD273 classifier. Setting 1775 subjects from 15 European sites with a mean follow-up time of 2.6 years (minimum of 7 days and a maximum of 4.3 years). Patients Subjects with T2D, normoalbuminuria and estimated glomerular filtration rate (eGFR) ≥ 45 ml/min/1.73m2. Participants were stratified into high- or low-risk groups based on their CKD273 score in a urine sample at screening (high-risk defined as score > 0.154). Results In total, 12 % (n = 216) of the subjects had a high-risk proteomic pattern. Mean (SD) baseline eGFR was 88 (15) ml/min/1.73m2 in the low-risk group and 81 (17) ml/min/1.73m2 in the high-risk group (p < 0.01). Baseline median (interquartile range) urinary albumin to creatinine ratio (UACR) was 5 (3-8) mg/g and 7 (4-12) mg/g in the low-risk and high-risk groups, respectively (p < 0.01). A 30 % reduction in eGFR from baseline was seen in 42 (19.4 %) subjects in the high-risk group as compared to 62 (3.9 %) in the low-risk group (p < 0.0001). In an unadjusted Cox-model the hazard ratio (HR) for the high-risk group was 5.7, 95 % confidence interval (CI) (3.9 to 8.5; p<0.0001). After adjustment for baseline eGFR and UACR, the HR was 5.2, 95 % CI (3.4 to 7.8; p<0.0001). A 40 % reduction in eGFR was seen in 15 (6.9 %) subjects in the high-risk group whereas 22 (1.4 %) in the low-risk group developed this endpoint (p<0.0001). In an unadjusted Cox-model the HR for the high-risk group was 5.0, 95 % CI (2.6 to 9.6; p<0.0001). After adjustment for baseline eGFR and UACR, the HR was 4.8, 95 % CI (2.4 to 9.7; p<0.0001). Conclusion In normoalbuminuric subjects with T2D, the urinary proteomic classifier CKD273 predicts renal function decline of 30 % and 40 %, independent of baseline eGFR and albuminuria.

scholarly journals HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Lingling He ◽  
Shuan Zhang ◽  
Xiaoli Liu ◽  
Yuyong Jiang ◽  
Xianbo Wang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Hepatocellular Carcinoma ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Death Risk ◽  
Score Model

Aim. To establish a new score model to predict risk of death in patients with hepatocellular carcinoma and type 2 diabetes mellitus.Methods. This was a retrospective study of 147 patients with hepatocellular carcinoma and type 2 diabetes mellitus who came to Beijing Ditan Hospital between October 2008 and June 2013. Univariate and multivariate logistic regression analysis was performed to obtain the independent factors associated with death risk. A new score model was devised according to these factors.Results. A prediction score model composed of HbA1c, NLR, age, and CTP class was devised, which ranged from 0 to 7. AUROC of the score was 0.853 (P<0.001, 95% CI: 0.791–0.915). Scores 0–2, 3-4, and 5–7 identified patients as low-, medium-, and high-risk categories. The cumulative survival rate was 93.6%, 83.0%, and 74.5% in the low-risk group in 1, 2, and 3 years, while it was 64.0%, 46.0%, and 26.0% in the medium-risk group, whereas it was 24.0%, 12.0%, and 6.0% in the high-risk group, respectively. The cumulative survival rate was significantly higher in the low-risk group than that in the medium-risk group and high-risk group (P<0.001).Conclusion. The HbA1c-based score model can be used to predict death risk in patients with hepatocellular carcinoma and type 2 diabetes mellitus.

Searching for the High-Risk Group in Type 2 Diabetes by Anchoring of Distress

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2258-PUB
Author(s):  
YIN-KAI LIAO ◽  
YI-SUN YANG ◽  
CHIEN-NING HUANG ◽  
HSIU-LING PENG
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group

Abstract P209: Effects of Blood Pressure Lowering on Vascular Outcomes in Different Cardiovascular Risk Groups Among Patients With Type 2 Diabetes: New Results From Advance

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Susan van Dieren ◽  
Andre Pascal Kengne ◽  
John Chalmers ◽  
Joline Beulens ◽  
Yvonne van der Schouw ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Treatment Effects ◽  
Disease Risk ◽  
Risk Group ◽  
Absolute Risk ◽  
Risk Groups ◽  
High Risk Group

Background/Aim: Although patients with type 2 diabetes constitute a high risk group there is a gradation in cardiovascular risk which may lead to differences in outcomes and effects of treatment. The objective of this study was to assess for differences in treatment effects of the fixed combination of perindopril-indapamide across subgroups of cardiovascular risk. Methods: 11,140 patients with type 2 diabetes, participating in the ADVANCE trial, were randomized to perindopril-indapamide or matching placebo. The UKPDS risk engine was used to calculate baseline 5-year coronary heart disease risk and to stratify patients into three risk groups (0-10%; 10–15%; >15%). Endpoints were composites of major macrovascular and microvascular events. Homogeneity of treatment effects across risk subgroups were tested by adding interaction terms to the Cox models. Results: The median estimated 5-year coronary heart disease risk at baseline was 10% (IQR 7%−16%). 1000 macrovascular and 916 microvascular events were recorded during a median follow-up of 4.3 years. The relative treatment effects were similar across all risk groups for all endpoints, with no heterogeneity (all P -values for heterogeneity ≥ 0.38). The hazard ratios for combined macro- and microvascular events were 0.89 (95% confidence interval: 0.77–1.03) for the moderate-high risk group and 0.92 (0.81–1.03) for the very high risk group. The absolute risk reductions were greater in the highest risk groups, with numbers needed to treat ranging from 38 to 244. Conclusions: Reductions in relative risk achieved with the fixed combination of perindopril-indapamide among patients with type 2 diabetes were consistent across subgroups defined by baseline cardiovascular risk, but reductions in absolute risk were greatest in those with the highest initial risk. Acknowledgements: This research was supported by a program grant from the National Health and Medical Research Council of Australia, the Center for Translational Molecular Medicine (CTMM) and the Netherlands Heart Foundation, Dutch Diabetes Research Foundation and Dutch Kidney Foundation (PREDICCt).

scholarly journals New-onset type 2 diabetes mellitus – A high-risk group suitable for the screening of pancreatic cancer?

Pancreatology ◽  
2016 ◽  
Vol 16 (2) ◽  
pp. 266-271 ◽  
Author(s):  
Dóra Illés ◽  
Viktória Terzin ◽  
Gábor Holzinger ◽  
Klára Kosár ◽  
Richárd Róka ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Pancreatic Cancer ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Onset Type ◽  
New Onset

scholarly journals Correlation of Lipid Profile and Risk of Developing Type 2 Diabetes Mellitus in 10-14 Year Old Children

2016 ◽  
Vol 39 (5) ◽  
pp. 1695-1704 ◽  
Author(s):  
Nusrath M. Habiba ◽  
Kimberly G. Fulda ◽  
Riyaz Basha ◽  
Deep Shah ◽  
Shane Fernando ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
Lipid Profile ◽  
Risk Group ◽  
High Risk Group ◽  
Diabetic Children

Background/Aims: The role of lipid profile in predicting the risk of Type 2 diabetes mellitus (T2DM) in children is not clearly established. Our aim is to screen non-diabetic children aged 10-14 years for risk of developing T2DM and evaluate the association of abnormal lipids and socioeconomic status (SES). Methods: Data on race/ethnicity, family history, body mass index percentile, blood pressure and presence of neck pigmentation (acanthosis nigricans) were collected from 149 non-diabetic children. Using these factors, children were classified into low risk (<3 risk factors) and high risk (>3 risk factors) groups. Logistic regression model and chi-square tests were used to evaluate the association of blood lipid profile and demographic variables. Independent t-test was used to compare the ratio of Total Cholesterol (TC) and High Density Lipids (HDL) with T2DM risk. Results: 60% of children were at high risk for developing T2DM. HDL (p<0.001), triglycerides (p=0.02) and TC/HDL ratio (p<.001) were significantly abnormal in high risk group. Low SES showed a marginal association with high risk group. There were no gender or age differences between high and low risk groups. Conclusions: The significant determinants associated with high risk group were modifiable factors providing an opportunity for early intervention and prevention.

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