scholarly journals Risk factor control in patients with Type 2 diabetes and coronary heart disease: findings from the Swedish National Diabetes Register (NDR)

2009 ◽  
Vol 26 (1) ◽  
pp. 53-60 ◽  
Author(s):  
S. Gudbjörnsdottir ◽  
K. Eeg-Olofsson ◽  
J. Cederholm ◽  
B. Zethelius ◽  
B. Eliasson ◽  
...  
Endocrine ◽  
2015 ◽  
Vol 51 (2) ◽  
pp. 268-273 ◽  
Author(s):  
Giovanna Muscogiuri ◽  
Vincenzo Nuzzo ◽  
Adriano Gatti ◽  
Alfonso Zuccoli ◽  
Silvia Savastano ◽  
...  

Diabetes Care ◽  
2006 ◽  
Vol 30 (1) ◽  
pp. 101-106 ◽  
Author(s):  
L. Qi ◽  
R. M. van Dam ◽  
K. Rexrode ◽  
F. B. Hu

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2436-PUB
Author(s):  
SHISHI XU ◽  
CHARLES A. SCOTT ◽  
RUTH L. COLEMAN ◽  
JAAKKO TUOMILEHTO ◽  
RURY R. HOLMAN

2020 ◽  
Vol 26 ◽  
Author(s):  
Margarita A. Sazonova ◽  
Anastasia I. Ryzhkova ◽  
Vasily V. Sinyov ◽  
Marina D. Sazonova ◽  
Tatiana V. Kirichenko ◽  
...  

Background: The present review article considers some chronic diseases of vascular and metabolic genesis, the causes of which may be mitochondrial dysfunction. Very often, in the long course of the disease, complications may occur, leading to myocardial infarction or ischemic stroke and as a result, death.In particular, a large percentage of human deaths nowadays belongs to cardiovascular diseases such as coronary heart disease (CHD), arterial hypertension, cardiomyopathies and type 2 diabetes mellitus. Objective: The aim of the present review was the analysis of literature sources, devoted to an investigation of a link of mitochondrial DNA mutations with chronic diseases of vascular and metabolic genesis, Results: The analysis of literature indicates the association of the mitochondrial genome mutations with coronary heart disease, type 2 diabetes mellitus, hypertension and various types of cardiomyopathies. Conclusion: The detected mutations can be used to analyze the predisposition to chronic diseases of vascular and metabolic genesis. They can also be used to create molecular-cell models necessary to evaluate the effectiveness of drugs developed for treatment of these pathologies. MtDNA mutations associated withthe absence of diseases of vascular and metabolic genesis could be potential candidates for gene therapy of diseases of vascular and metabolic genesis.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Elena M. Yubero-Serrano ◽  
Juan F. Alcalá-Diaz ◽  
Francisco M. Gutierrez-Mariscal ◽  
Antonio P. Arenas-de Larriva ◽  
Patricia J. Peña-Orihuela ◽  
...  

An amendment to this paper has been published and can be accessed via the original article.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yasunari Yamashita ◽  
Rina Kitajima ◽  
Kiyoshi Matsubara ◽  
Gaku Inoue ◽  
Hajime Matsubara

Abstract Objective In 2018, we conducted a retrospective survey using the medical records of 484 patients with type 2 diabetes. The observed value of coronary heart disease (CHD) incidence after 5 years and the predicted value by the JJ risk engine as of 2013 were compared and verified using the discrimination and calibration values. Results Among the total cases analyzed, the C-statistic was 0.588, and the calibration was p < 0.05; thus, the JJ risk engine could not correctly predict the risk of CHD. However, in the group expected to have a low frequency of hypoglycemia, the C-statistic was 0.646; the predictability of the JJ risk engine was relatively accurate. Therefore, it is difficult to accurately predict the complication rate of patients using the JJ risk engine based on the diabetes treatment policy after the Kumamoto Declaration 2013. The JJ risk engine has several input items (variables), and it is difficult to satisfy them all unless the environment is well-equipped with testing facilities, such as a university hospital. Therefore, it is necessary to create a new risk engine that requires fewer input items than the JJ risk engine and is applicable to several patients.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Malik ◽  
H Chen ◽  
A Cooper ◽  
M Gomes ◽  
V Hejjaji ◽  
...  

Abstract Background In patients with type 2 diabetes (T2D), optimal management of cardiovascular (CV) risk factors is critical for primary prevention of CV disease. Purpose To describe the association of country income and patient socioeconomic factors with risk factor control in patients with T2D. Methods DISCOVER is a 37-country, prospective, observational study of 15,983 patients with T2D enrolled between January 2016 and December 2018 at initiation of 2nd-line glucose-lowering therapy and followed for 3 years. In patients without known CV disease with sub-optimally controlled risk factors at baseline, we examined achievement of risk factor control (HbA1c &lt;7%, BP &lt;140/90 mmHg, appropriate statin) at the 3 year follow-up. Countries were stratified by gross national income (GNI)/capita, per World Bank report. We explored variability across countries in risk factor control achievement using hierarchical logistic regression models and examined the association of country- and patient-level economic factors with risk factor control. Results Among 9,613 patients with T2D but without CV disease (mean age 57.2 years, 47.9% women), 83.1%, 37.5%, and 66.3% did not have optimal control of glucose, BP, and statins, respectively, at baseline. Of these, 40.8%, 55.5%, and 28.6% achieved optimal control at 3 years of follow-up. There was substantial variability in achievement of risk factor control across countries (Figure) but no association of country GNI/capita on achievement of risk factor control (Table). Insurance status, which differed substantially by GNI group, was strongly associated with glycemic control, with no insurance and public insurance associated with lower odds of patients achieving HbA1c &lt;7%. Conclusions In a global cohort of patients with T2D, a substantial proportion do not achieve risk factor control even after 3 years of follow-up. The variability across countries in risk factor control is not explained by the GNI/capita of the country. Proportion of patients at goal Funding Acknowledgement Type of funding source: Private company. Main funding source(s): The DISCOVER study is funded by AstraZeneca


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