Early detection of vascular disease in Type 2 Diabetes

2003 ◽  
pp. 19-37
Author(s):  
Hannele Yki-Järvinen
Keyword(s):  
Type 2 Diabetes ◽  
Early Detection ◽  
Vascular Disease

scholarly journals Examining the impact of mental disease on type 2 diabetes outcomes: results from the EpiChron Cohort

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Guerrero Fernández de Alba ◽  
A Gimeno-Miguel ◽  
B Poblador Plou ◽  
K Bliek Bueno ◽  
J Carmona Pirez ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Substance Abuse ◽  
Early Detection ◽  
Health Outcomes ◽  
Emergency Room ◽  
Mental Disease ◽  
Emergency Room Visits ◽  
Mental Diseases ◽  
The Impact

Abstract Background Type 2 diabetes mellitus (T2D) is often accompanied by other chronic diseases, including mental diseases (MD). This work aimed at studying MD prevalence in T2D patients and analyse its impact on T2D health outcomes. Methods Retrospective, observational study of individuals of the EpiChron Cohort aged 18 and over with prevalent T2D at baseline (2011) in Aragón, Spain (n = 63,365). Participants were categorized by the existence or absence of MD, defined as the presence of depression, anxiety, schizophrenia or substance abuse. MD prevalence was calculated, and a logistic regression model was performed to analyse the likelihood of the four studied health outcomes (4-year all-cause mortality, all-cause hospitalization, T2D-hospitalization, and emergency room visits) based on the presence of each type of MD, after adjusting by age, sex and number of comorbidities. Results Mental diseases were observed in 19% of T2D patients, with depression being the most frequent condition, especially in women (20.7% vs. 7.57%). Mortality risk was significantly higher in patients with MD (odds ratio -OR- 1.24; 95% confidence interval -CI- 1.16-1.31), especially in those with substance abuse (OR 2.18; 95% CI 1.84-2.57) and schizophrenia (OR 1.82; 95% CI 1.50-2.21). The presence of MD also increased the risk of T2D-hospitalization (OR 1.51; 95% CI 1.18-1.93), emergency room visits (OR 1.26; 95% CI 1.21-1.32) and all-cause hospitalization (OR 1.16; 95% CI 1.10-1.23). Conclusions The high prevalence of MD among T2D patients, and its association with health outcomes, underscores the importance of providing integrated, person-centred care and early detection of comorbid mental diseases in T2D patients to improve disease management and health outcomes. Key messages Comprehensive care of T2D should include specific strategies for prevention, early detection, and management of comorbidities, especially mental disorders, in order to reduce their impact on health. Substance abuse was the mental disease with the highest risk of T2D-hospitalization, emergency room visits and all-cause hospitalization.

Soluble LDL-Immune Complexes in Type 2 Diabetes and Vascular Disease

2002 ◽  
Vol 34 (4) ◽  
pp. 196-201 ◽  
Author(s):  
Z. Turk ◽  
M. Šesto ◽  
J. Skodlar ◽  
G. Ferenčak ◽  
N. Turk ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Vascular Disease ◽  
Immune Complexes

scholarly journals The Relation Between HbA1cand Cardiovascular Events in Patients With Type 2 Diabetes With and Without Vascular Disease

Diabetes Care ◽  
2015 ◽  
Vol 38 (10) ◽  
pp. 1930-1936 ◽  
Author(s):  
Guido Kranenburg ◽  
Yolanda van der Graaf ◽  
Joep van der Leeuw ◽  
Hendrik M.W. Nathoe ◽  
Gert Jan de Borst ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Vascular Disease ◽  
Cardiovascular Events

scholarly journals The result of treadmill test in asymptomatic type 2 diabetes mellitus

2017 ◽  
Vol 3 (6) ◽  
pp. 166 ◽  
Author(s):  
Anil Shrinivasrao Joshi ◽  
Chandrakant Gunaji Lahane ◽  
Akshay Arvind Kashid
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Early Detection ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Duration Of Diabetes ◽  
Asymptomatic Patients ◽  
Cardiovascular Morbidity And Mortality

<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">To study the prevalence of silent myocardial ischaemia in asymptomatic patients with type 2 DM</span>.</p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">The present study was conducted in the Govt. Medical College and Hospital Aurangabad. During December 2012 to November 2014 with 50 patients. It was two year cross sectional study with the patients of asymptomatic type 2 diabetes mellitus without clinical and electrocardiographic evidence of coronary artery disease. </span></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">12 (24%) out of 50 subjects had positive TMT. It correlated with years of duration of diabetes (9 positive TMT cases with duration of diabetes more than 10 years). 5 (25%) out of 20 had serum cholesterol levels &gt;240, Number of positive TMT were higher in patients with LDL &gt;160 [5 (25%) out of 20]</span>.</p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">Diabetic patients are at very high risk for cardiovascular morbidity and mortality. Early detection of IHD is very important so that pharmacological therapy, which may improve outcome, can be established. Tread mill exercise TMT being a non-invasive test with high safety, has an important role in early detection of IHD. It is recommended that TMT should be a part of routine management in asymptomatic patients with type II DM. </span></p>

scholarly journals Prevalence and Risk Factors of Depression in Chinese Patients With Type 2 Diabetes Mellitus: a Protocol of Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Xiaobo LIU ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Early Detection ◽  
Meta Analysis ◽  
Prevalence Of Depression ◽  
Associated Risk Factors

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.

Sign in / Sign up

Export Citation Format

Share Document