P2486The association between genetic variant ZNF259 and decreased kidney function in the diabetic patients

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Pereira ◽  
M Mendonca ◽  
J Monteiro ◽  
J Sousa ◽  
F Mendonca ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Renal Failure ◽  
Logistic Regression ◽  
Risk Factor ◽  
Kidney Function ◽  
Genetic Variants ◽  
Diabetic Patients ◽  
Cross Sectional

Abstract Type 2 Diabetes (T2D) is a risk factor for dysregulation of glomerular filtration rate (GFR) and albuminuria. However, it remains unclear whether this association is only causal. Genetic variants are inherited independent of potential confounding factors and represent a lifetime exposure. Aim Investigate whether the reduction of GFR is a direct consequence of T2D or there are other genetic mechanisms involved in the pathophysiology of the evolution to chronic kidney disease. Methods Cross-sectional study with a total of 2579 individuals was performed, of which 735 patients had T2D. Subjects were classified as `'diabetic” if they were taking oral anti-diabetic medication or insulin or if their fasting plasma glucose was higher than 7.0 mmol/l or 126 mg/dl. Within the diabetic group, we considered those with (n=63) and without (n=627) decreased GFR. GFR was calculated through the Cockcroft and Gault formula and decreased GFR was defined as GFR<60 ml/min/1.73m2. Twenty-four genetic variants associated with T2D, metabolic syndrome, dyslipidemia and hypertension were investigated for its impact on GFR, namely: MTHFR 677 and 1298; MTHFD1L; PON 55, 192 and 108; ATIR A/C; AGT M235T; ACE I/D; TCF7L2; SLC30A8; MC4R; ADIPOQ; FTO; TAS2R50; HNF4A; IGF2BP2; PPARG; PCSK9; KIF6; ZNF259; LPA; APOE; PSRS1. Risk factors for decreased GFR were also evaluated (essential hypertension, glycaemia >120 mg/ml, dyslipidemia, alcohol consumption, CAD diagnosis). A logistic regression was performed firstly with the risk factors solely; and secondly adding the genetic variants in order to evaluate the independent predictors of progression to renal failure in T2D. Results After the first multivariate logistic regression with all the risk factors for decreased GFR, only CAD remained in the equation, showing to be an independent risk factor for progression to renal failure, in T2D (OR=4.17; 95% CI: 1.64–10.59; p=0.003). In the second logistic regression, including risk factors and the genetic variants, only ZNF259 rs964184 showed an independent and significant association with the risk of decreased GFR (OR=3.03; 95% CI: 1.06–8.70; p=0.039). Conclusion This study shows that the variant ZNF259 rs964184 is associated with decreased kidney function, independently of other risk factors. This finding needs further investigation to clarify the genetic mechanism behind the association of rs964184 with decreased GFR, in Type 2 diabetes.

Cardiovascular events in patients with type 2 diabetes

2002 ◽  
Vol 2 (1_suppl) ◽  
pp. S4-S8
Author(s):  
Erland Erdmann
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Risk Factor ◽  
Adverse Effects ◽  
Cardiovascular Events ◽  
Left Ventricular ◽  
Diabetic Patients ◽  
Increased Risk

Diabetes is a common risk factor for cardiovascular disease. Coronary heart disease and left ventricular dysfunction are more common in diabetic patients than in non-diabetic patients, and diabetic patients benefit less from revascularisation procedures. This increased risk can only partly be explained by the adverse effects of diabetes on established risk factors; hence, a substantial part of the excess risk must be attributable to direct effects of hyperglycaemia and diabetes. In type 2 diabetes, hyperinsulinaemia, insulin resistance and hyperglycaemia have a number of potential adverse effects, including effects on endothelial function and coagulation. Risk factor modification has been shown to reduce the occurrence of cardiovascular events in patients with diabetes; indeed, diabetic patients appear to benefit more in absolute terms than non-diabetic patients. There is thus a strong case for intensive treatment of risk factors, including insulin resistance and hyperglycaemia, in patients with type 2 diabetes.

scholarly journals DISTRIBUTION PATTERNS AND RISK FACTORS OF DYSLIPIDEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN BOGOR, INDONESIA

2020 ◽  
pp. 5-8
Author(s):  
SARASWATI PRADIPTA ◽  
HERI WIBOWO ◽  
DANTE SAKSONO HARBUWONO ◽  
EKOWATI RAHAJENG ◽  
RAHMA AYU LARASATI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective: Type 2 diabetes mellitus (T2DM) patients tend to have abnormal lipid profiles, explaining the association between elevated cholesterol andtriglyceride levels in diabetic patients and coronary heart disease. This study aims to evaluate how the common risk factors for dyslipidemia affectthe lipid profile of diabetic patients and to determine which factors can be used as predictors for the occurrence of dyslipidemia in T2DM patients.Methods: A total of 238 diabetic patients (63 male and 175 female; age: 31–70 years) were enrolled in this cross-sectional study. All of them hadundergone regular examinations in cohort studies on risk factors for non-communicable diseases conducted by the Ministry of Health in Bogorbetween December 2017 and January 2018.Results: The result found that age differences did not affect lipid profile levels, and the females had higher mean values of body mass index (p<0.001),total cholesterol (TC) (p<0.05), and high-density lipoprotein (HDL) (p<0.001) than the males. The most common occurrences of dyslipidemia werehigh TC level (57.1%), followed by high low-density lipoprotein (LDL) level (47.1%), high triglyceride level (37.4%), and low HDL level (16.4%). Beingoverweight was found to be the best predictor of dyslipidemia.Conclusion: The results of this study suggest that in T2DM patients, sex affects TC and HDL levels, whereas age does not exert a significant effect onthe lipid profiles. In addition, poor glycemic control, hypertension, and obesity may serve as predictors of dyslipidemia in T2DM patients.

scholarly journals Prevalence and Risk Factors Associated with Type 2 Diabetes in Elderly Patients Aged 45-80 Years at Kanungu District

2020 ◽  
Vol 2020 ◽  
pp. 1-5 ◽  
Author(s):  
Debrah Asiimwe ◽  
Godfrey O. Mauti ◽  
Ritah Kiconco
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Family History ◽  
Elderly Patients ◽  
Health Centre ◽  
Health Concern ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Factors Associated

Background. Type 2 diabetes is a worldwide disaster including in Uganda, specifically in Kanungu District which had a rise in diabetic patients in 2018/2019 as compared to the 2017/2018 financial year. This research was determined to access the prevalence and risk factors associated with type 2 diabetes on elderly patients aged 45-80 years attending Kanungu Health Centre IV, Kanungu District. Methods. A cross-sectional study was conducted among patients aged 45-80 years attending Kanungu Health Centre IV from June to August 2019. The prevalence of type 2 diabetes was determined by the blood sugar of patients. Questionnaires were used to collect data for factors associated with type 2 diabetes. Data were statistically analyzed using the statistical package for social sciences (SPSS) version 25 (SPSS Inc., USA) at P<0.05. Results. The overall prevalence of type 2 diabetes was 18.7% among the tested patients. 22.8% of diabetic patients were females as 7.8% were males. The age group most affected by diabetes was 61-65 years. Alcoholism, smoking, body mass index (BMI), and family history were found to be significantly associated with type 2 diabetes at P value < 0.05. Conclusion. There was a high prevalence of type 2 diabetes observed in this study compared to studies done in previous years which raise a public health concern. This study also found that females and patients aged 61-65 years were most affected by diabetes. Lastly, the presence of family history for diabetes, overweight, and being obese increases the chances of acquiring type 2 diabetes.

scholarly journals Ischemic Stroke and Its Risk Factors in a Registry-Based Large Cross-Sectional Diabetic Cohort in a Country Facing a Diabetes Epidemic

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Khalid Al-Rubeaan ◽  
Fawaz Al-Hussain ◽  
Amira M. Youssef ◽  
Shazia N. Subhani ◽  
Ahmad H. Al-Sharqawi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Diabetes Duration ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Diabetes Registry ◽  
Ischemic Stroke Risk

The main aim of this study is to determine the prevalence and risk factors of ischemic stroke among diabetic patients registered in the Saudi National Diabetes Registry (SNDR) database. A cross-sectional sample of 62,681 diabetic patients aged ≥25 years was used to calculate ischemic stroke prevalence and its risk factors. Univariate and multivariate logistic regression analyses were used to assess the roles of different risk factors. The prevalence of ischemic stroke was 4.42% and was higher in the older age group with longer diabetes duration. Poor glycemic control and the presence of chronic diabetes complications were associated with a high risk of ischemic stroke. History of smoking and type 2 diabetes were more frequent among stroke patients. Obesity significantly decreased the risk for ischemic stroke. Regression analysis for ischemic stroke risk factors proved that age ≥45 years, male gender, hypertension, coronary artery disease (CAD), diabetes duration ≥10 years, insulin use, and hyperlipidemia were significant independent risk factors for ischemic stroke. We conclude that ischemic stroke is prevalent among diabetic individuals, particularly among those with type 2 diabetes. Good glycemic, hypertension, and hyperlipidemia control, in addition to smoking cessation, are the cornerstones to achieve a significant reduction in ischemic stroke risk.

scholarly journals Dietary Diversity as a Risk Factor for Obesity in Algerian Patients with Type 2 Diabetes Mellitus

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1229
Author(s):  
Abdenour Bounihi ◽  
Hamza Saidi ◽  
Asma Bouazza ◽  
Hassiba Benbaibeche ◽  
Malha Azzouz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Risk Factor ◽  
Dietary Diversity ◽  
Diabetic Patients ◽  
Obese Patients ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Type 2 Diabetic

Although the incidence of “diabesity” (coexistence of type 2 diabetes and obesity) is alarmingly increasing in Algeria, the diet–diabesity link has not been well defined. This study aimed to explore the association between dietary diversity score (DDS) and obesity among Algerian type 2 diabetic patients. It was a cross-sectional observational study involving 390 type 2 diabetic patients. Anthropometric data were gathered, and dietary intake information was obtained through a 24-h dietary recall method, which was used to calculate DDS. Potential confounders such as age, sex, smoking, physical activity and energy intake were controlled for using multivariate logistic regression. A total of 160 patients (41.3%) were classified as obese. As expected, obese patients had a higher body mass index, waist circumference, hip circumference, body fat and fat mass index. Furthermore, obese patients more frequently met carbohydrate recommendations and had a higher intake of meat and protein. Female sex, hypertension, low physical activity and high meat and protein intake were positively associated with diabesity. Additionally, higher DDS was positively associated with diabesity after adjusting for confounders. Thus, a more diversified diet may be a risk factor for obesity among Algerian type 2 diabetic patients.

scholarly journals Assessment of Risk of Type 2 Diabetes Mellitus with Stress as a Risk Factor using Classification Algorithms

2019 ◽  
Vol 8 (4) ◽  
pp. 11273-11277
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Logistic Regression ◽  
Risk Factor ◽  
Random Forest ◽  
Health Concern ◽  
Support Vector

Rising prevalence of type 2 diabetes mellitus is a vital health concern today, not only in India but across the world. Several factors including dietary habits, genetics, lack of physical exercise and stress are known to affect the risk of type 2 diabetes. Although awareness has increased to some extent, many people with diabetes have limited knowledge about the risk factors before the diagnosis of disease. For chronic disease prevention there is a necessity to find out such risk factors and manage them appropriately. Statistical techniques can be employed to understand the risk of type 2 diabetes in different age group of people. The objective of the research was to evaluate relationship among stress and type 2 diabetes in people with different age groups by a statistical tool. The proposed method uses three machine learning classifiers namely Support Vector Machine (SVM), Logistic Regression and Random Forest (RF) to detect type 2 diabetes at an early stage. To develop an adaptive model the preprocessing step has been applied. The accuracy of predicting diabetes using SVM, Random Forest and Logistic Regression was 80.17%, 79.37%, 78.67% respectively. The results suggest that as compared to Random Forest and Logistic Regression, SVM is better in predicting occurrence and progress of type 2 diabetes mellitus with stress as a risk factor.

scholarly journals Risk Factors of Diabetic Nephropathy Development in Type 2 Diabetic Patients: A Cross-sectional Retrospective Study

2021 ◽  
Author(s):  
Santisith Khiewkhern ◽  
Witaya Yoosook ◽  
Wisit Thongkum ◽  
Chitkamon Srichompoo ◽  
Sawan Thitisutti
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Systolic Blood Pressure ◽  
Survival Time ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Factors Associated

Introduction: Diabetic Nephropathy (DN) is one of the most serious long-term complications of patients with type 2 diabetes and the leading cause of end-stage kidney failure. Early detection and risk reduction measures can prevent DN. However, data showing the survival time and factors associated with DN development among Thai patients with type 2 diabetes is currently not available. Aim: This study aims to explore the survival time and examine the risk factors associated with the development of DN among Thai patients with type 2 diabetes. Materials and Methods: This cross-sectional retrospective study was conducted during 1st January, 2002 to 3rd December, 2017 to performed and to explore the survival time and examine the risk factors associated with the development of DN among 1,540 patients with type 2 diabetes who received treatment at the Diabetes Mellitus (DM) clinic in Mahachanachai Hospital, Yasothon Province, Thailand. Data was collected from the Hospital Experience (HOSxP) program and medical records from 2002 to 2017. Kaplan-Meier and Cox’s regressions were used for data analysis. Results: From those 15 years, out of 1,540 cases 306 eligible patients with type 2 DM were selected for survival analysis. The results showed that 274 patients met the criteria for DN (89.50%) and 32 patients (10.50%) did not meet the criteria for DN. The median of DN survival time was five years. Multivariate Cox’s regression analysis confirmed that systolic blood pressure had a statistically significant association with the development of DN among hospitalised type 2 diabetic patients. Conclusion: Duration of Diabetes and Systolic blood pressure are associated with the development of DN. The application of future prevention and control measures are highly recommended to control systolic blood pressure for DN protection.

scholarly journals Prevalence and Risk Factors of Latent Tuberculosis Infection (LTBI) in Patients with Type 2 Diabetes Mellitus (T2DM)

2021 ◽  
Vol 18 (1) ◽  
pp. 305
Author(s):  
Phan Ai Ping ◽  
Rosnani Zakaria ◽  
Md Asiful Islam ◽  
Lili Husniati Yaacob ◽  
Rosediani Muhamad ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Logistic Regression ◽  
Smoking Status ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Significant Difference

Type 2 diabetes mellitus (T2DM) and tuberculosis (TB) together impose a high disease burden in terms of both mortality and health economics worldwide. The objective of this study was to estimate the prevalence and risk factors of latent TB infection (LTBI) in patients with T2DM in Malaysia. A cross-sectional study was performed, and adult T2DM patients (n = 299) were included. Simple and multiple logistic regression analyses were performed to identify the LTBI-associated risk factors in patients with T2DM. Multiple logistic regression was used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CIs) between T2DM and LTBI and was adjusted for potential confounders. The prevalence of LTBI in patients with T2DM was 11.4% (95% CI: 8.0–15.0%). There was no significant difference in the socio-demographic characteristics between LTBI and non-LTBI subjects. No significant difference in the smoking status, the duration of smoking, and the duration of T2DM, HbA1c, or treatments was observed. Interestingly, a higher level of education was observed to be associated with a lower prevalence of LTBI in T2DM patients (aOR: 0.08, 95% CI: 0.01–0.70, p = 0.02). Although the prevalence of LTBI in T2DM was low, it is important to screen for it in T2DM patients due to the risk of developing severe active TB.

scholarly journals Age-related differences in glycaemic control, cardiovascular disease risk factors and treatment in patients with type 2 diabetes: a cross-sectional study from the Australian National Diabetes Audit

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e020677 ◽  
Author(s):  
Natalie Nanayakkara ◽  
Sanjeeva Ranasinha ◽  
Adelle M Gadowski ◽  
Wendy A Davis ◽  
Jeffrey Ronald Flack ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Risk Factor ◽  
Cardiovascular Risk ◽  
Glycaemic Control ◽  
Cardiovascular Risk Factor ◽  
Older Patients ◽  
Cross Sectional ◽  
Younger Patients

ObjectiveTo compare the glycaemic control and cardiovascular risk factor profiles of younger and older patients with type 2 diabetes. Cross-sectional analysis of data from the 2015 Australian National Diabetes Audit was undertaken.MethodsData were obtained from adults with type 2 diabetes presenting to Australian secondary/tertiary diabetes centres. Logistic regression examined associations with glycated haemoglobin A1c (HbA1c) >7% (53 mmol/mol) and cardiovascular risk factors.ResultsData from 3492 patients were analysed. Mean (±SD) age was 62.9±12.5 years, mean diabetes duration 13.5±9.4 years and mean HbA1c 8.2%±1.8%. Mean HbA1c was 8.6%±2.1% and 8.0%±1.6% for the younger (<60 years) and older subgroups (≥60 years), respectively (p<0.001). The adjusted OR (aOR) of HbA1c above >7.0% was 1.5 times higher (95% CI 1.22 to 1.84) for younger patients compared with older patients after adjustment for gender, smoking, diabetes duration, renal function and body mass index. Younger patients were also more likely to have dyslipidaemia (aOR 2.02, 95% CI 1.53 to 2.68; p<0.001), be obese (aOR 1.25, 95% CI 1.05 to 1.49; p<0.001) and be current smokers (aOR 2.13 95% CI 1.64 to 2.77; p<0.001) than older patients.ConclusionsYounger age was associated with poorer glycaemic control and adverse cardiovascular risk factor profiles. It is imperative to optimise and monitor treatment in order to improve long-term outcomes.

Periphere arterielle Verschlusskrankheit bei Diabetes mellitus Typ 1 und Typ 2: Unterscheiden sich die Risikofaktoren?

VASA ◽  
2002 ◽  
Vol 31 (4) ◽  
pp. 249-254 ◽  
Author(s):  
Zander ◽  
Heinke ◽  
Reindel ◽  
Kohnert ◽  
Kairies ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Multivariate Logistic Regression Analysis ◽  
Diabetes Duration ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
The Impact

Background : Diabetic patients have increased prevalence of peripheral arterial disease (PAD). It is not clearly shown whether the prognostic factors are identical in relation to the type of diabetes. This study was done to compare the associations of PAD with risk factors and with micro-and macrovascular complications of inpatients with type 1 and type 2 diabetes. Methods: In a retrospective cross-sectional study 1087 patients with type 1 diabetes and 1060 patients with type 2 diabetes were examined. PAD was diagnosed when ankle-brachial-pressure-index (ABI) was < 1.0. In cases with incompressible arteries (mediasclerosis) pulse wave formes were analyzed. Multivariate logistic regression analysis was applied to evaluate the impact of different variables on PAD risk , after adjusting for different variables separately. Results: In both types of diabetes (type 1 vs. type 2) PAD risk (odds ratio; OR) was increased in the presence of coronary heart disease (OR 9.3 vs. 3.5), diabetic nephropathy (OR 3.0 vs.2.8), neuropathy (OR 7.9 vs. 1.8), foot ulceration (OR 8.9 vs. 5.5), increased daily insulin requirement > 0.6 m/kg b.w. (OR 5.2 vs. 2.9), diabetes duration of 20–29 years (OR 28.9) and > 30 years (OR 51.1) in type 1 diabetes, and diabetes duration of 10–19 years (OR 3.8) and > 20 years (OR 4.3) in type 2 diabetes. In type 2 diabetes, PAD risk was associated with microalbuminuria (OR 2.1), macroalbuminuria (OR 3.3), background retinopathy (OR 1.9), proliferative retinopathy (OR 2.8), increased triglycerides (TG) (OR 1.7) and decreased HDL-cholesterol (HDL-C > 0.90 mmol/l: OR 0.49). Conclusions: PAD risk factors and micro- and macrovascular comorbidity are very similar in type 1 and type 2 diabetes.

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