scholarly journals Study on prediction of type 2 diabetes mellitus in undergraduate MBBS students: a cross-section study in a tertiary health center, Kolkata

2017 ◽  
Vol 6 (1) ◽  
pp. 184
Author(s):  
Murari M. Mandal ◽  
Shobhit Garg ◽  
R. N. Mishra ◽  
Swanya P. Maharana
Keyword(s):  
Type 2 Diabetes ◽  
Screening Tool ◽  
Risk Group ◽  
Cost Effective ◽  
High Risk Group ◽  
Hip Circumference ◽  
Moderate Risk ◽  
Cross Sectional ◽  
Random Blood Sugar

Background: Diabetes, is now a leading cause of morbidity and mortality worldwide. Prevalence of type-2 diabetes in children and adolescents is rapidly increasing worldwide. Adolescence and early youth period has pivotal importance for young people with diabetes risk when they usually start learning about how to take responsibility. With this background, present study was done to find out the proportion of various risk factors and future risk of developing diabetes among MBBS undergraduates in Kolkata.Methods: This study was a cross-sectional institution based study done from 1st June to 18th June 2017. Data was collected by interviewing each respondent with the help of structured pre-designed pre-tested schedule, after which clinical examination for height, weight, waist and hip circumference, blood pressure and RBS were done. Out of 150 undergraduates, 130 agreed to participate. Data was analysed with R software.Results: Mean age of the students was 20.45years. 48.5% of them were either overweight or obese. Nearly half of them had waist circumference and waist hip ratio in risk group. Only 65 were normotensive and 7 had high random blood sugar (≥140 mg/dl). 6 students were in high risk group according to both IDRS (≥60) and ADA (≥5) risk score. 66 students were in moderate risk (30-50) group as per IDRS risk score.Conclusions: The simple and cost-effective IDRS could serve as a screening tool health worker to identify at risk individuals at the earliest and enable primary prevention by encouraging these students to modify their life-style.

scholarly journals Assessment of Risk of Type 2 Diabetes Among Adults of Banepa Municipality, Nepal: Community Based Cross-Sectional Study

2020 ◽  
Vol 8 (1) ◽  
pp. 31-36
Author(s):  
Sailendra Thapa ◽  
Pratigya Kayastha ◽  
Durga Khadka Mishra
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Risk Group ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Moderate Risk ◽  
Community Based ◽  
Cross Sectional ◽  
Family History Of Diabetes

Introduction: The prevalence of type 2 diabetes has been escalating worldwide, including low- and middle-income countries such as Nepal. Early detection of individuals at risk is of the utmost importance to prevent the escalating condition. This study used a simple, cost-effective screening tool known as the Indian Diabetes Risk Score (IDRS) in order to assess the proportion of risk groups and factors associated with it among the residents of Banepa municipality, a semi-urban area of central Nepal. Methods: A community-based cross-sectional study was conducted among 245 adults of Banepa municipality. Face to face interviews were conducted to collect the information through a pretested, semi-structured questionnaire. IDRS was used to identify the risk group for developing type 2 diabetes. Data were entered in Microsoft Excel 2010 and exported to SPSS v.11.5 for further analysis. Results: The proportion of people with high risk, moderate risk and low risk was 31%, 51.4% and 17.6%, respectively for developing type 2 diabetes. The analysis showed age (P < 0.01), education (P = 0.05), marital status (P = 0.01), body mass index (BMI) (P < 0.01), waist circumference (P < 0.01), physical activities (P < 0.01) and family history of diabetes (P < 0.04) were significantly associated with risk of type 2 diabetes. Conclusion: Nearly one-third of the study participants were in high-risk group and half of them were at moderate risk. This increasing trend of risk requires an urgent application of preventive measures through lifestyle modification.

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 &gt; 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 &lt; 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 &lt; 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 &lt; 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&lt;0.0001). After adjustment for baseline eGFR and UACR, the HR was 5.2, 95 % CI (3.4 to 7.8; p&lt;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&lt;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&lt;0.0001). After adjustment for baseline eGFR and UACR, the HR was 4.8, 95 % CI (2.4 to 9.7; p&lt;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 IDENTIFICATION AND ASSESSMENT OF PREDIABETES-A RURAL INDIAN STUDY (A CORRELATIVE STUDY BETWEEN QUESTIONNAIRE AND BIOCHEMICAL ANALYSIS)

2020 ◽  
pp. 36-40
Author(s):  
VENKATESAN S. ◽  
SUSILA S. ◽  
SUTHANTHIRAN S. ◽  
MADHUSUDHAN S. ◽  
PAARI N.
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Predictive Value ◽  
Screening Tool ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Family History Of Diabetes

Objective: To identify and prevent the vulnerable prediabetic population becoming diabetic patients in the future using the Indian Diabetic Risk Score (IDRS) and to evaluate the performance of the IDRS questionnaire for detecting prediabetes and predicting the risk of Type 2 Diabetes Mellitus in Chidambaram rural Indian population. Methods: A cross-sectional descriptive study was carried out among patients attending a master health check-up of RMMCH hospital located at Chidambaram. The IDRS was calculated by using four simple measures of age, family history of diabetes, physical activity, and waist measurement. The relevant blood test, like Fasting plasma glucose (FBS), Glycated hemoglobin (HbA1C) test, were observed for identifying prediabetes. Subjects were classified as Normoglycemic, prediabetics, and diabetics based on the questionnaire and diagnostic criteria of the Indian Council of Medical Research (ICMR) guidelines. Results: In the study, sensitivity and specificity of IDRS score were found to be 84.21% and 63.4% respectively for detecting prediabetes in community with the positive predictive value of 51.6% and negative predictive value of 89.6% and prevalence of prediabetes in the Chidambaram rural population is 31.6% among the 60 participants. Conclusion: The Indian diabetic risk score questionnaire designed by Ma­dras diabetic research federation is a useful screening tool to identify unknown type 2 diabetes mellitus. The question­naire is a reliable, valuable, and easy to use screening tool which can be used in a primary care setup. 

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).

Sign in / Sign up

Export Citation Format

Share Document