scholarly journals Independent Predictors of Erectile Dysfunction in Type 2 Diabetes Mellitus: Is It True What They Say about Risk Factors?

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Faranak Sharifi ◽  
Mohammad Asghari ◽  
Yahya Jaberi ◽  
Oveis Salehi ◽  
Fatemeh Mirzamohammadi
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Lipid Profile ◽  
Glycosylated Hemoglobin ◽  
Multivariate Logistic Regression Analysis ◽  
Serum Testosterone Level ◽  
Channel Blockers

Introduction. The aim of this study was to evaluate the independent predictors of ED in adult men with type 2 diabetes mellitus (T2DM). Methods. We have recruited 200 T2DM patients referred to our center between March 1, 2009 and March 1, 2010. All the patients were scored with the International Index of Erectile Function (IIEF)-5 questionnaires. Contribution of age, body mass index (BMI), smoking, blood pressure, lipid profile, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), free testosterone concentration, and duration of diabetes to risk of ED were evaluated. Results. Of 200 men with T2DM, 59.5% had ED (95%CI: 52%–67%). A negative significant correlation was found between potency score and HbA1c (r: 0.20,P: 0.01), FPG (r: 0.17, P: 0.03) and SBP (r: 0.18, P: 0.02) but not between other risk factors such as lipid profile, BMI, and serum testosterone level. By using multivariate logistic regression analysis, we found out that the only two independent predictors of ED in these group of patients are age (OR: 2.8, P: 0.01), and taking calcium channel blockers (CCB) (OR: 4.1, P: 0.01). Conclusions. Aging and taking CCB were the only two major predictors for ED but surprisingly other metabolic or sexual covariates in this study did not have predictive value for ED risk in T2DM patients.

scholarly journals STUDY OF HBA1C, LIPID PROFILE AND CYCLOPHILIN-A IN DIABETES MELLITUS

2019 ◽  
Vol 3 (12) ◽  
Author(s):  
Rakesh Kumar Jha ◽  
Badade ZG ◽  
Sandeep Rai ◽  
Badade VZ
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Lipid Profile ◽  
Glycosylated Hemoglobin ◽  
General Medicine ◽  
Cyclophilin A ◽  
The Body ◽  
Glucose Levels

Introduction: Diabetes is a chronic disease that occurs when not enough insulin is produced by the pancreas or the body does not use the insulin produced. Because of increased blood glucose levels in the body, serious heart, kidneys, blood vessels, nerves and eyes damage are caused. Report says about 400 million people suffer from diabetes. Therefore present study is aimed to assess levels of HbA1c, Lipid profile and Cyclophilin A in diabetic patient. Material and Methods: The present study includes total 126 subjects comprising of 66 type 2 Diabetes Mellitus patients and 60 healthy individual. Blood samples are collected from the all subjects were processed for HbA1c, Lipid Profile and Cyclophilin A estimation, from OPD and General Medicine Wards. HbA1c is estimated by HPLC, lipid Profile by AU480 and the Cyclophilin A by ELISA method using commercially available Qayee-bio ELISA kit. Conclusion: Present study showed significantly increased levels of HbA1c, Lipid Profile and Cyclophilin A in T2DM patients. The elevated lipid profile may be due to the complication of Diabetic mellitus. CyA is increased as an inflammation marker. Keywords: T2DM: Type 2 diabetes mellitus, HbA1c: Glycosylated Hemoglobin, CyA: Cyclophilin-A

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.

scholarly journals RISK FACTORS OF TYPE 2 DIABETES MELLITUS DURATION AND NON-COMPLIANCE WITH MEDICATION TO POOR GLYCEMIC STATUS

2020 ◽  
Vol 8 (3) ◽  
pp. 256
Author(s):  
Marisa Gita Putri ◽  
K. Heri Nugroho HS ◽  
Mateus Sakundarno Adi ◽  
Suhartono Suhartono ◽  
Bagoes Widjanarko
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycosylated Hemoglobin ◽  
Exclusion Criterion ◽  
Glycemic Status ◽  
Type 2 Dm

Background: Type 2 diabetes mellitus is a chronic disease that is still a global health problem. Uncontrolled diabetes mellitus (DM) can result in poor glycemic status, with factors that affect patients including long-term DM and medication compliance. Purpose: This study aimed to determine the risk factors of long-term DM and non-compliance with medication on the poor glycemic control status of patients with type 2 DM. Methods: This type of research used observational analysis with a case–control design. Samples were taken from patients with type 2 DM, with 40 cases and 40 controls. The criteria for sample inclusion were that the patients had a glycosylated hemoglobin level check, were willing to be research respondents, and could communicate well. The exclusion criterion was patients experiencing a drastic decline in health status during the study. The sampling technique used was consecutive sampling. This research was conducted at the Panti Wilasa Citarum Hospital in Semarang City from July to September 2019. The relationship and the risk of long-term DM and adherence to taking medication with glycemic status were tested using the chi-square test. Results: This study showed that a duration of DM >5 years (p = 0.01; Odss Ratio (OR) = 3.46; 95% confidence interval [CI] = 1.37 < OR < 8.69) and non-compliance with taking medication (p = 0.02; OR = 3.15; 95% CI = 1.25 < OR < 7.93) are risk factors for poor glycemic status. Conclusion: Duration of DM >5 years and non-compliance with taking medication are risk factors for poor glycemic status in patients with type 2 DM.

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