scholarly journals Risk factors associated with diabetic retinopathy in patients with diabetes mellitus type 2

2010 ◽  
Vol 3 (1) ◽  
Author(s):  
Irini P Chatziralli ◽  
Theodoros N Sergentanis ◽  
Petros Keryttopoulos ◽  
Nikolaos Vatkalis ◽  
Antonis Agorastos ◽  
...  
2021 ◽  
Vol 9 (3) ◽  
pp. 28-33
Author(s):  
S.Yu. Mogilevskyy ◽  
A.S. Hudz ◽  
Yu.O. Panchenko ◽  
O.V. Bushuyeva ◽  
G.E. Zakharevych

Background. According to the International Diabetes Federation, the number of people with diabetes mellitus is going to increase from 366 to 552 million by 2030. More than 1.5 million patients with diabetes are registered in Ukraine, of which 84–95 % have type 2 diabetes. Diabetic retinopathy (DR) is one of the common diabetes complications, being one of the leading causes of blindness and low vision, in particular in people of occupational age. Metabolic disorders, including activation of the polyol pathway of glucose utilization, play an important role in the pathogenesis of DR, with aldose reductase playing a key role, the activity of which is associated with the polymorphism of its gene, AKR1B1. The study of new meta­bolic and genetic mechanisms for the development and progression of DR in type 2 diabetes mellitus in patients from the Ukrainian population is an actual task of modern ophthalmology. Purpose: to investigate and generalize new genetically determined risk factors for diabetic retinopathy in type 2 diabetes mellitus. Materials and methods. The study involved 409 participants, who were divided into four groups: 1 — comparison cohort (98 people without diabetes mellitus type 2); 2 — 76 patients (stage I DR, without fundus chan­ges); 3 — 64 individuals with non-proliferative DR; 4 — 64 patients with proliferative DR; control group for genetic researches included 107 ophthalmologically healthy individuals. All patients underwent blood sampling for molecular genetic research by puncture of the ulnar vein and aspiration of 2.5 ml of blood through a 23G 5.0 ml disposable syringe (Hemoplast, Etalon+, Ukraine), followed by a release into a 3.0 ml container (Vacuette K3E K3EDTA, Greiner Bio-One, Austria). Distribution of polymorphic alleles and genotypes of rs759853 and rs9640883 aldose reductase gene (AKR1B1) in patients with non-proliferative DR, proliferative DR and in the control group and their association with disease and effects on the occurrence, mechanisms of development and progression of DR were studied. Based on the conducted researches, a model of DR development prognosis was developed by construction of multiple regression with sufficient reliability of degree of influence of independent variables on a calculated indicator. Results. As a result of our research, we identified new genetically determined risk factors for the development and progression of the different stages of DR in patients with diabetes mellitus type 2, namely the role of polymorphic alleles and genotypes rs759853 and rs9640883 of the AKR1B1 gene. The deve­loped logistic regression models found that the risk of DR incidence is five times lower in carriers of the G/G and G/A genotypes compared to carriers of the A/A genotype rs759853 polymorphism (p < 0.001). It was found that the risk is twice as high (p = 0.01) for carriers of the G/G genotype rs9640883 compared to the A/A + G/A genotypes. The risk of developing proliferative DR is 3.3 times lower in carriers of the G/G genotype and 2.5 times lower in carriers of the G/A genotype compared to carriers of the A/A genotype rs759853. Conclusions. Therefore, on the basis of our clinical, ophthalmological, molecular genetic and statistical studies we have identified new risk factors for the development and progression of different stages of DR in patients with diabetes mellitus type 2. Mathematical models of development and progression of different stages of DR in patients with diabetes type 2 were built.


2020 ◽  
pp. 62-68
Author(s):  
E. S. Makhlina ◽  
Y. L. Navmenova ◽  
O. N. Kononova

Objective: to assess the presence of glycemic variability in patients with diabetes mellitus type 2 (DM Type 2), as well as to identify the risk factors which affect the degree of expression of the variability indices. Material and methods. Glycemic variability indices were assessed in 92 patients with DM Type 2 receiving different hypoglycemic therapy regimens. Results . It has been found that glycemic variability in 78 % of the examined patients with DM Type 2 was expressed and depended on the regimen of hypoglycemic therapy. The use of insulin therapy in the treatment regimen in patients with DM Type 2 and a BMI of less than 28.6 kg/m2 is a risk factor that increases glycemic variability. Postprandial hyperglycemia (2 hours after breakfast) is caused by high variability regardless of the regimen of hypoglycemic therapy. SD variability indices and glycemic amplitude are the assessment criteria for the degree of glycemic variability in the postprandial period of time. Conclusion . Glycemic variability in patients with DM Type 2 is expressed and depends on the regimen of hypoglycemic therapy. Calculation of glycemic variability indices in glycemic self-control will improve individual target glycemia values and it will make it possible to correct the tactical scheme of hypoglycemic therapy on an outpatient basis.


2012 ◽  
Vol 15 (4) ◽  
pp. 59-62 ◽  
Author(s):  
Inessa Ivanovna Dubinina ◽  
Vladimir Alexeevich Zhadnov ◽  
Svetlana Vital'evna Yankina ◽  
Alexandra Viktorovna Solov'eva

Aims. Current study was aimed to identify symptoms and risk factors for depression and anxiety and to estimate quality of life (QoL) in patients with diabetes mellitus type 2 (T2DM) and cerebrovascular disease (CVD). Materials and methods. We examined 73 patients with T2DM. 1st group included 49 patients with T2DM and CVD, 2nd group - 24 patients with T2DM and no cardiovascular pathology. The groups were not significantly different in terms of age, BMI, level of HbAlc, fasting and postprandial glycemia. All patients received antihyperglycemic and antihypertensive therapy. Anxiety and depression were diagnosed with Beck Depression Inventory and Spielberger State and Trait Anxiety Scale (SSTAS). SF-36 questionnaire was used for estimation of QoL. Results. 2nd group showed symptoms of anxiety and depressive disorders in 100% and 75% of cases, respectively. 1st group showed significantly more prominent anxiety and depression symptoms. Risk factors for anxiety and depressive disorders in patients with T2DM and CVD were found to be senior age, obesity and atherogenic dyslipidemia. Conclusion. Cardiovascular comorbidity in T2DM significantly decreases QoL, especially in aspects of physical functioning and vitality. Timely diagnostics of anxiety and depression in patients with T2DM and CVD requires development of screening and rehabilitation programs.


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