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Showing 3 results for Diabetes Mellitus Type 2
Adiponectin and markers of subclinical atherosclerosis in early type 2 diabetes: Evaluation of carotid artery intima-media thickness and coronary artery calcium score
Hossein Fakhrzadeh , Farshad Sharifi , Neda Mehrdad , Fatemeh Jafaraghaeii , Zohreh Badamchizadeh , Neda Nazari ,
Volume 71, Issue 7 (10-2013)
Abstract

Background: The aim of this study was to assess the association of serum adiponectin and a set of traditional cardiovascular risk factors with carotid artery intimal-medial thickness (CIMT) and coronary artery calcium score (CACS), as markers of subclinical atherosclerosis in subjects with early type 2 diabetes mellitus.

Methods: Carotid artery intima- media thickness (measured by B-mode ultrsonography), coronary artery calcium score (determined by high resolution computed tomography), serum adiponectin, Fasting blood sugar, serum lipids, body mass index (BMI), systolic blood pressure, diastolic blood pressure and mean arterial pressure were measured in 123 asymptomatic newly diagnosed cases of type 2 diabetes mellituss and 152 age and sex matched healthy control subjects.

Results: Serum adiponectin and lipids were significantly lower in those with type 2 diabetes mellitus (P<0.01). Left, right and mean carotid artery intima- media thickness, coronary artery calcium score, fasting blood sugar, systolic blood pressure, diastolic blood pressure and mean arterial pressure were significantly higher among diabetic patients compared to healthy controls (P<0.05). Mean carotid artery intima- media thickness was positively and independently related to age (P<0.001) and triglyceride (P=0.01) in diabetic group. Coronary artery calcium score was associated positively with age (P=0.004) and inversely with high density lipoprotein (HDL) cholesterol (P=0.002) among diabetics.

Conclusion: Although adiponectin was lower in diabetics compared to controls, it had no significant association with carotid artery intima- media thickness and coronary artery calcium score as markers of subclinical atherosclerosis. In patients with type 2 diabetes in addition to age, serum triglyceride levels are correlated with carotid artery intima- media thickness, while HDL cholesterol is inversely correlated with coronary artery calcium score.


Designing an intelligent system for diagnosing type 2 diabetes using the data mining approach: brief report
Rohollah Kalhor , Asghar Mortezagholi , Fatemeh Naji, Saeed Shahsavari, Mohammad Zakaria Kiaei ,
Volume 76, Issue 12 (3-2019)
Abstract
Background: Diabetes mellitus has several complications. The Late diagnosis of diabetes in people leads to the spread of complications. Therefore, this study has been done to determine the possibility of predicting diabetes type 2 by using data mining techniques.
Methods: This is a descriptive-analytic study that was conducted as a cross-sectional study. The study population included people referring to health centers in Mohammadieh City in Qazvin Province, Iran, from April to June 2015 for screening for diabetes. The 5-step CRISP method was used to implement this study. Data were collected from March 2015 to June 2015. In this study, 1055 persons with complete information were included in the study. Of these, 159 were healthy and 896 were diabetic. A total of 11 characteristics and risk factors were examined, including the age, sex, systolic and diastolic blood pressure, family history of diabetes, BMI, height, weight, waistline, hip circumference and diagnosis. The results obtained by support vector machine (SVM), decision tree (DT) and the k-nearest neighbors algorithm (k-NN) were compared with each other. Data was analyzed using MATLAB® software, version 3.2 (Mathworks Inc., Natick, MA, USA).
Results: Data analysis showed that in all criteria, the best results were obtained by decision tree with accuracy (0.96) and precision (0.89). The k-NN methods were followed by accuracy (0.96) and precision (0.83) and support vector machine with accuracy (0.94) and precision (0.85). Also, in this study, decision tree model obtained the highest degree of class accuracy for both diabetes classes and healthy in the analysis of confusion matrix.
Conclusion: Based on the results, the decision tree represents the best results in the class of test samples which can be recommended as a model for predicting diabetes type 2 using risk factor data.

The effect of oral calcium on serum level of vitamin B12 in patients with type 2 diabetes
Mahmoud Parham, Davoud Oulad Dameshghi , Hossein Saghafi, Azam Sarbandy Farahani, Saeed Karimi Matloub, Rasool Karimi Matloub,
Volume 80, Issue 8 (11-2022)
Abstract
Background: Vitamin B12 deficiency is one of the most well-known disorders due to long-term use of metformin due to interference with its absorption.
Methods: This double-blind randomized trial was conducted from June to October 2016 at Shahid Beheshti Hospital in Qom on 60 patients in the age group of 30 to 60 years with a history of type 2 diabetes for one to two years and taking metformin in the amount of one to two grams. Patients were divided into two groups of 30 people. The intervention group received metformin with 1 gram of calcium carbonate daily, and the control group received metformin without calcium. Each of the patients in the intervention group was given 200 calcium carbonate tablets. Vitamin B12 levels of the patients in both groups were measured before the start of the intervention, and they were evaluated in terms of neuropathy according to the Michigan questionnaire. Vitamin B12 of patients and neuropathy in two groups were measured before the intervention and after three months.
Results: There was a difference between the two groups in terms of gender, and no significant difference was observed between the mean ages in the two groups. The mean level of vitamin B12 before receiving calcium in group A (intervention) was lower than group B (control) (P=0.036) and after receiving calcium, the level of vitamin B12 in the intervention group increased (P=0.002). In the control group, the level of vitamin B12 decreased (P=0.030). (P=0.006), and in the control group there was no significant difference in the examination of neuropathy (P=0.2).
Conclusion: Oral calcium daily intake increases vitamin B12 levels in patients with type 2 diabetes and calcium may be able to moderate the decrease in serum vitamin B12 levels induced by metformin in patients with type 2 diabetes.

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