فهرس المقالات OGTT

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  1 - Evaluation of Blood Components of Glycemic Control in Diabetics with and without Cataract in Comparison with Non-diabetics
  Elham Zainalinia Rouhallah Najjar Sadeghi Mostafa Ebadi Mohammad Faghihi
  10.22034/jchr.2023.1953604.1514
  Cataract is a leading cause of vision loss in the world. Several factors are involved in the development of cataracts, of them; diabetes and uncontrolled plasma glucose have great importance. Therefore, controlling glycemic reduces the risk of related to microvascular c أکثر

  Cataract is a leading cause of vision loss in the world. Several factors are involved in the development of cataracts, of them; diabetes and uncontrolled plasma glucose have great importance. Therefore, controlling glycemic reduces the risk of related to microvascular complications of diabetes diseases such as cataract. This study aimed to compare fasting plasma glucose (FPG), HgbA1c, and oral glucose tolerance test (OGTT) between Diabetic patients with and without cataract in comparison with the healthy group as control. Among 150 subjects, 50 diabetic patients, 50 diabetic cataracts, and 50 healthy individuals without a history of specific disease were compared with each other. Fasting plasma glucose, OGTT, and HgbA1c were measured by colorimetric methods. SPSS23 software was used to analyze data. P-values ​​less than 5% or lower were considered to be statistically significant. In this study, the mean fasting plasma glucose, HgbA1c, and OGTT in the group of diabetic patients, diabetic with cataract, and healthy groups fasting plasma glucose were as follow, 162.46 mg dL-1 and 184.76 mg dL-1, 92.88 mg dL-1 (P˂0.05), HgbA1c: 7.8, 8.0, 5.8% (P˂0.05) and OGTT: 228 mg dL-1, 246.12 mg dL-1 and 114.32 mg dL-1 (P˂0.05) respectively. Our findings showed that in diabetic patients with and without cataract, fasting plasma levels, HgbA1C, and OGTT are higher than the healthy group. There was a significant relationship between the studied factors and cataracts. As a result, high blood glucose has a definitive role in the development of cataracts. تفاصيل المقالة
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  2 - A Fuzzy Expert System & Neuro-Fuzzy System Using Soft Computing For Gestational Diabetes Mellitus Diagnosis
  Maryam Mirsharif Mahmood Alborzi Amir ashkan Nasiripour
  Gestational diabetes mellitus (GDM) is a kind of diabetes that requires persistent medical care in patient self management education to prevent acute complications. One of the common and main problems in diagnosis of the diabetes is the weakness in its initial stages of أکثر

  Gestational diabetes mellitus (GDM) is a kind of diabetes that requires persistent medical care in patient self management education to prevent acute complications. One of the common and main problems in diagnosis of the diabetes is the weakness in its initial stages of the illness. This paper intends to propose an expert system in order to diagnose the risk of GDM by using FIS model. The knowledge base was based on the opinion of experts and also by using ANFIS model in order to extract rules that based on real data. The data were collected from the patient's file in a medical health care center that contains effective risk factors in giving rise to GDM . The effective factors consist of fast blood suger, weight and age in the initial months of pregnancy and the output is the risk of GDM in pregnant women . Based on the results , the level of minimum square error in the fuzzy expert system was calculated as 0.227. For diagnosis of illnesses such as diabetes, in lack of accesses to experts ,one can rely on intelligent softwares such as expert systems, wich can assist the speedy and better diagnosis. تفاصيل المقالة