scholarly journals The impact of treatment patterns and the risk of severe hypoglycaemia events in type 1&2 diabetes mellitus in five central European countries

2014 ◽  
Vol 17 (3) ◽  
pp. A259
Author(s):  
M. Jakubczyk ◽  
J. Paweska ◽  
M. Niewada ◽  
E. Rdzanek ◽  
T. Dolezal ◽  
...  
Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Stefana Catalina Bilha ◽  
Letitia Leustean ◽  
Cristina Preda ◽  
Dumitru D. Branisteanu ◽  
Laura Mihalache ◽  
...  

Abstract Background Despite the increased fracture risk, bone mineral density (BMD) is variable in type 1 (T1D) and type 2 (T2D) diabetes mellitus. We aimed at comparing independent BMD predictors in T1D, T2D and control subjects, respectively. Methods Cross-sectional case-control study enrolling 30 T1D, 39 T2D and 69 age, sex and body mass index (BMI) – matched controls that underwent clinical examination, dual-energy X-ray absorptiometry (BMD at the lumbar spine and femoral neck) and serum determination of HbA1c and parameters of calcium and phosphate metabolism. Results T2D patients had similar BMD compared to T1D individuals (after adjusting for age, BMI and disease duration) and to matched controls, respectively. In multiple regression analysis, diabetes duration – but not HbA1c- negatively predicted femoral neck BMD in T1D (β= -0.39, p = 0.014), while BMI was a positive predictor for lumbar spine (β = 0.46, p = 0.006) and femoral neck BMD (β = 0.44, p = 0.007) in T2D, besides gender influence. Age negatively predicted BMD in controls, but not in patients with diabetes. Conclusions Long-standing diabetes and female gender particularly increase the risk for low bone mass in T1D. An increased body weight partially hinders BMD loss in T2D. The impact of age appears to be surpassed by that of other bone regulating factors in both T1D and T2D patients.


2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Paul C Langley ◽  
Taeho Greg Rhee

Over the past 20 years a number of simulations or models have been developed as a basis for tracking and evaluating the impact of pharmacological and other interventions in type 1 and type 2 diabetes mellitus. These models have typically tracked the natural course of these diseases generating long-term composite claims for cost-effectiveness. These claims can extend over the lifetime of the modeled patient cohort. Set against the standards of normal science, however, these claims lack credibility. The claims presented are all too often either immune to failure or are presented in a form that is non-testable. As such they fail to meet the key experimental requirements of falsification and replication. Unfortunately, there is a continuing belief that long-term or lifetime models are essential to decision-making. This is misplaced. The purpose of this review is to argue that there is a pressing need to reconsider the needs of health system decision makers and focus on modeled or simulated claims that are meaningful, testable, reportable and replicable in evaluating interventions in diabetes mellitus.   Type: Commentary


2020 ◽  
Vol 67 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Simona Hylmarova ◽  
Katerina Stechova ◽  
Gabriela Pavlinkova ◽  
Jana Peknicova ◽  
Milan Macek ◽  
...  

2019 ◽  
Vol 160 (29) ◽  
pp. 1136-1142
Author(s):  
Brigitta Munkácsi ◽  
Beáta Erika Nagy ◽  
Karolina Eszter Kovács

Abstract: Introduction: Most of the adolescents suffering from type 1 diabetes mellitus (T1DM) can be described with HbA1c values below the target level. Several research investigated the impact of diabetes on the quality of life, however, no complex questionnaire has been developed to examine each area of the disease. Aim: The aim of the present study is to create a Hungarian, reliable and valid questionnaire which can cover each aspect of the adherence related to type 1 diabetes mellitus. Method: In the present study, the attention was drawn to the introduction of a new questionnaire related to diabetes adherence which can be applied among children and adolescents as well. To test the questionnaire and to reduce the number of the items and to determine the scales, reliability analysis (Cronbach’s α) and factor analysis was applied. Results: The new measurement, which was created through the translation of English language international questionnaires, their pre-test, and its reduction by factor and reliability analysis, containing 9 subscales with 58 items, is stated as reliable regarding the results of the Cronbach’s α index. Conclusion: It can be stated that the created Diabetes Adherence Questionnaire can be reliably applied on child and adolescent population and it can be adapted for people suffering from other types of chronic diseases. Orv Hetil. 2019; 160(29): 1136–1142.


2019 ◽  
Vol 22 ◽  
pp. S590
Author(s):  
J. Gordon ◽  
L. Beresford-Hulme ◽  
H. Bennett ◽  
A. Tank ◽  
C. Edmonds ◽  
...  

2014 ◽  
Vol 184 (10) ◽  
pp. 2662-2670 ◽  
Author(s):  
Daniel Cai ◽  
Meifang Zhu ◽  
W. Matthew Petroll ◽  
Vindhya Koppaka ◽  
Danielle M. Robertson

SIMULATION ◽  
2017 ◽  
Vol 93 (9) ◽  
pp. 781-793 ◽  
Author(s):  
Sara Montagna ◽  
Andrea Omicini

The impact of mobile technologies on healthcare is particularly evident in the case of self-management of chronic diseases, where they can decrease spending and improve life quality of patients. We propose the adoption of agent-based modeling and simulation techniques as built-in tools to dynamically monitor the state of patient health and provide recommendations for self-management. To demonstrate the feasibility of our proposal we focus on Type 1 diabetes mellitus as our case study, and provide simulation results where the dynamic evolution of signal parameters is shown in the case of healthy and Type 1 diabetes mellitus patients, focussing in particular on the beneficial effects that self-management interventions have on plasma glucose values.


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