scholarly journals TYPE 2 DIABETES

2016 ◽  
Vol 23 (02) ◽  
pp. 138-146
Author(s):  
Shabnam Naveed ◽  
Syed Masroor Ahmed ◽  
Ayesha Nageen ◽  
Zeeshan Ali ◽  
Santosh Kumar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Diabetes Clinic ◽  
Cross Sectional ◽  
Medical Unit ◽  
Detailed Medical History ◽  
Us Findings

Objectives: To determine the prevalence and the associated risk factors ofNAFLD in Type 2 diabetic patients. Study Design: Cross sectional study. Setting: Diabeticclinic of Medical Unit 3, JPMC. Methods: It is a cross sectional study. 262 patients wereenrolled between the ages of 18-70 years attending Diabetes Clinic of Medical Unit III, JPMC.Each consenting patient underwent a detailed medical history-taking, physical examination,laboratory assessment and abdominal ultrasonography (US). Fatty liver was diagnosed onabdominal US on the basis of two out of the three criteria: increased hepatic echogenicity,blurring of liver vasculature and deep attenuation of the ultrasonographic signal. In accordancewith the guidelines, subjects diagnosed with NAFLD had to fulfill the following criteria: nohistory of current or past alcohol consumption, other systemic illness known to cause fatty liverdisease; absence of history and clinical, biochemical and US findings consistent with cirrhosis.Body mass index (BMI) was calculated. Blood pressures of greater than 130/90 were takenas hypertensive. LFTs, FBS, HbA1c, Lipid profiles were taken. Results: Out of 262 diabeticpatients 107 (40.8%) of them were found to be having NFALD. Prevalence was found out to behigher in age group of 41-50 years, females, obese & in Pashtoon subjects.It was also moreprevalent in sedentary lifestyle patients and those on oral anti diabetics in contrast to insulintherapy. It was correlating well with US findings when the ALT cut-off value was taken as 30 IUfor males and 19 IU for females compared to standard values of ALT. There was associationwith hypertension, metabolic syndrome and dyslipidemia. Conclusion: Prevalence of NAFLDwas higher in our diabetic patients. Middle age, female gender and obesity were found to bestatistically strong risk factors in our study.

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.

Assessment of Circulating Biomarkers in Relation to Various Stages of Diabetic Retinopathy in Type 2 Diabetic Patients-A Cross Sectional Study

2020 ◽  
Vol 16 (4) ◽  
pp. 402-409 ◽  
Author(s):  
Nalini Mathala ◽  
Annapurna Akula ◽  
Sharat Hegde ◽  
Raghava Bitra ◽  
Virender Sachedev
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Cross Sectional Study ◽  
Tnf Alpha ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Type 2 Diabetic

Aim: The aim of this study is to examine the relationship between inflammatory markers, and diabetic retinopathy in type II diabetic patients. Methods: The study was a cross-sectional study included 150 type 2 diabetic patients who were divided into 3 groups. 50 in each group are divided as Diabetic patients without retinopathy (DM, n=50), nonproliferative diabetic retinopathy patients (NPDR, n=50), proliferative diabetic retinopathy patients (PDR, n=50). All the patients were subjected to complete clinical examination and laboratory investigations, such as fasting and postprandial blood glucose, serum creatinine, lipid profile tests, glycosylated haemoglobin (HbA1c), fasting insulin, serum inflammatory markers (TNF-alpha, C-reactive protein) and serum VEGF. Results: The study revealed from the multivariate analysis that age, duration and WHR (waist-hip ratio) are potent risk factors responsible for the risk of Diabetic retinopathy. Similarly, serum creatinine, CRP, TNF- alpha and VEGF are significantly higher in diabetic patients with retinopathy compared to diabetic patients without retinopathy. Conclusion: The study concluded that inflammation was associated with severe diabetic retinopathy in patients with well-controlled diabetes. A possible relationship was provided between the risk factors and biomarkers which are responsible for Diabetic retinopathy. Hence, modifying the risk factors risk and development of severe diabetic retinopathy can be reduced.

scholarly journals Factors Associated with Poor Glycemic and Lipid Levels in Ambulatory Diabetes Mellitus Type 2 Patients in Asmara, Eritrea: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Oliver Okoth Achila ◽  
Millen Ghebretinsae ◽  
Abraham Kidane ◽  
Michael Simon ◽  
Shewit Makonen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Waist Circumference ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Specific Lipid

Objective. There is a dearth of relevant research on the rapidly evolving epidemic of diabetes mellitus (particularly Type 2 diabetes mellitus) in sub-Saharan Africa. To address some of these issues in the Eritrean context, we conducted a cross-sectional study on glycemic and lipid profiles and associated risk factors. Methods. A total of 309 patients with diabetes mellitus on regular follow-up at the Diabetic and Hypertensive Department at Halibet Regional Referral Hospital, Asmara, were enrolled for the study. Data on specific clinical chemistry and anthropomorphic parameters was collected. Chi-squared (χ2) test or Fischer’s exact test was used to evaluate the relationship between specific variables. Multivariate logistic regression (backward: conditional) was undertaken to identify the factors associated with increased odds of suboptimal values in glucose and specific lipid panel subfractions. Results. High proportions of patients (76.7%) had suboptimal levels of HbA1c with a mean±SD of 8.6%±1.36, respectively. In multivariate regression analysis, the likelihood of HbA1c≥7% was higher in patients with abnormal WHR (AOR=3.01, 95% CI, 3.01 (1.15–7.92=0.024)) and in patients without hypertension (AOR=1.97, 95% CI (1.06–3.56), p=0.021). A unit reduction in eGFR was also associated with HbA1c≥7% (AOR=0.99, 95% CI (0.98–1=0.031)). In a separate analysis, the data shows that 80.9% of the patients had dyslipidemia. In particular, 62.1% of the patients had TC≥200 mg/dL (risk factors: sex, hypertension, and HbA1c concentration), 81.6% had LDL‐C≥100 mg/dL (risk factors: sex and hypertension), 56.3% had TG≥150 (risk factors: sex, HbA1c, and waist circumference), 62.8% had abnormal HDL-C (risk factors: waist circumference), 78.3% had non‐HDL<130 mg/dL (risk factors: duration of disease, reduced estimated glomerular filtration rate, and HbA1c), and 45.3% had abnormal TG/HDL (risk factors: sex, age of patient, FPG, and waist circumference). Conclusions. The quality of care, as measured by glycemic and specific lipid targets, in this setting is suboptimal. Therefore, there is an urgent need for simultaneous improvements in both indicators. This will require evidence-based optimization of pharmacological and lifestyle interventions. Therefore, additional studies, preferably longitudinal studies with long follow-up, are required on multiple aspects of DM.

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