scholarly journals Adiposity-Mortality Relationships in Type 2 Diabetes, Coronary Heart Disease, and Cancer Subgroups in the UK Biobank, and Their Modification by Smoking

Diabetes Care ◽  
2018 ◽  
Vol 41 (9) ◽  
pp. 1878-1886 ◽  
Author(s):  
David A. Jenkins ◽  
Jack Bowden ◽  
Heather A. Robinson ◽  
Naveed Sattar ◽  
Ruth J.F. Loos ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Uk Biobank ◽  
The Uk

scholarly journals Preexisting Comorbidities Predicting Severe Covid-19 in Older Adults in the UK Biobank Community Cohort

2020 ◽  
Author(s):  
Janice L Atkins ◽  
Jane AH Masoli ◽  
Joao Delgado ◽  
Luke C Pilling ◽  
Chia-Ling Kuo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Older Adults ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Logistic Models ◽  
Fragility Fractures ◽  
Hospitalized Patients ◽  
Uk Biobank ◽  
The Uk

AbstractBackgroundOlder COVID-19 hospitalized patients frequently have hypertension, diabetes or coronary heart disease (CHD), but whether these are more common than in the population is unclear. During the initial epidemic in England, virus testing for older adults was restricted to symptomatic hospitalized patients. We aimed to estimate associations between pre-existing diagnoses and COVID-19 status, in a large community cohort.MethodsUK Biobank (England) participants assessed 2006 to 2010, followed in hospital discharge records to 2017. Demographic and pre-existing common diagnoses association tested with COVID-19 status (16th March to 14th April 2020) in logistic models, adjusted for demographics, study site and other diagnoses.ResultsThere were 274,356 participants aged 65+, including 448 (0.16%) hospitalized COVID-19 patients. Common co-morbidities in patients were hypertension (58.5%), coronary heart disease (CHD, 21.1%), history of fall or fragility fractures (30.6%), and type 2 diabetes (19.6%). However, in adjusted models, COVID-19 patients were more likely than other participants to have pre-existing dementia (OR=3.07 95% CI 1.71 to 5.50), COPD (OR= 1.82 CI 1.33 to 2.49), depression (OR=1.81 CI 1.36 to 2.40), type 2 diabetes (OR=1.70 CI 1.30 to 2.21), chronic kidney disease and atrial fibrillation. Hypertension was modestly associated (OR=1.29 CI 1.04 to 1.59), but CHD (OR=0.92 CI 0.71 to 1.20) prevalence was similar in COVID-19 patients and other participants.ConclusionSpecific co-morbidities are disproportionally common in older adults who develop severe COVID-19. Tailored interventions may be needed, as these results do not support simple age-based targeting to prevent severe COVID-19 infection.

scholarly journals P2-222 Risk markers for coronary heart disease and type 2 diabetes in childhood: comparison of Indian children living in India and the UK

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A282-A283
Author(s):  
C. Nightingale ◽  
G. Krishnaveni ◽  
A. Rudnicka ◽  
C. Owen ◽  
S. Veena ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Risk Markers ◽  
Indian Children ◽  
Diabetes In Childhood ◽  
The Uk

scholarly journals Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort

2020 ◽  
Vol 75 (11) ◽  
pp. 2224-2230 ◽  
Author(s):  
Janice L Atkins ◽  
Jane A H Masoli ◽  
Joao Delgado ◽  
Luke C Pilling ◽  
Chia-Ling Kuo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Logistic Models ◽  
Fragility Fractures ◽  
Chronic Obstructive ◽  
Uk Biobank ◽  
Older Population

Abstract Background Hospitalized COVID-19 patients tend to be older and frequently have hypertension, diabetes, or coronary heart disease, but whether these comorbidities are true risk factors (ie, more common than in the general older population) is unclear. We estimated associations between preexisting diagnoses and hospitalized COVID-19 alone or with mortality, in a large community cohort. Methods UK Biobank (England) participants with baseline assessment 2006–2010, followed in hospital discharge records to 2017 and death records to 2020. Demographic and preexisting common diagnoses association tested with hospitalized laboratory-confirmed COVID-19 (March 16 to April 26, 2020), alone or with mortality, in logistic models. Results Of 269 070 participants aged older than 65, 507 (0.2%) became COVID-19 hospital inpatients, of which 141 (27.8%) died. Common comorbidities in hospitalized inpatients were hypertension (59.6%), history of fall or fragility fractures (29.4%), coronary heart disease (21.5%), type 2 diabetes (type 2, 19. 9%), and asthma (17.6%). However, in models adjusted for comorbidities, age group, sex, ethnicity, and education, preexisting diagnoses of dementia, type 2 diabetes, chronic obstructive pulmonary disease, pneumonia, depression, atrial fibrillation, and hypertension emerged as independent risk factors for COVID-19 hospitalization, the first 5 remaining statistically significant for related mortality. Chronic kidney disease and asthma were risk factors for COVID-19 hospitalization in women but not men. Conclusions There are specific high-risk preexisting comorbidities for COVID-19 hospitalization and related deaths in community-based older men and women. These results do not support simple age-based targeting of the older population to prevent severe COVID-19 infections.

2436-PUB: Predicting Risk for New-Onset Type 2 Diabetes in Chinese People with Coronary Heart Disease and Impaired Glucose Tolerance

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2436-PUB
Author(s):  
SHISHI XU ◽  
CHARLES A. SCOTT ◽  
RUTH L. COLEMAN ◽  
JAAKKO TUOMILEHTO ◽  
RURY R. HOLMAN
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Glucose Tolerance ◽  
Impaired Glucose Tolerance ◽  
Chinese People ◽  
Onset Type ◽  
New Onset

Mutations of mtDNA in some vascular and metabolic diseases

2020 ◽  
Vol 26 ◽  
Author(s):  
Margarita A. Sazonova ◽  
Anastasia I. Ryzhkova ◽  
Vasily V. Sinyov ◽  
Marina D. Sazonova ◽  
Tatiana V. Kirichenko ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Type 2 Diabetes Mellitus ◽  
Heart Disease ◽  
Chronic Diseases ◽  
Metabolic Diseases ◽  
Present Review ◽  
Mtdna Mutations

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.

scholarly journals Correction to: Association between cholesterol efflux capacity and peripheral artery disease in coronary heart disease patients with and without type 2 diabetes: from the CORDIOPREV study

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 ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Peripheral Artery Disease ◽  
Cholesterol Efflux ◽  
Peripheral Artery ◽  
Cholesterol Efflux Capacity ◽  
Artery Disease

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

scholarly journals A retrospective study on the usefulness of the JJ risk engine for predicting the incidence rate of coronary heart disease in type 2 diabetes patients

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yasunari Yamashita ◽  
Rina Kitajima ◽  
Kiyoshi Matsubara ◽  
Gaku Inoue ◽  
Hajime Matsubara
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Medical Records ◽  
Low Frequency ◽  
University Hospital ◽  
Diabetes Treatment ◽  
C Statistic ◽  
Risk Engine

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.

Development and Validation of a Total Coronary Heart Disease Risk Score in Type 2 Diabetes Mellitus

2008 ◽  
Vol 101 (5) ◽  
pp. 596-601 ◽  
Author(s):  
Xilin Yang ◽  
Wing-Yee So ◽  
Alice P.S. Kong ◽  
Ronald C.W. Ma ◽  
Gary T.C. Ko ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Type 2 Diabetes Mellitus ◽  
Heart Disease ◽  
Disease Risk ◽  
Disease Risk Score ◽  
Development And Validation ◽  
Heart Disease Risk

scholarly journals Circulating miRNAs as Predictive Biomarkers of Type 2 Diabetes Mellitus Development in Coronary Heart Disease Patients from the CORDIOPREV Study

2018 ◽  
Vol 12 ◽  
pp. 146-157 ◽  
Author(s):  
Rosa Jiménez-Lucena ◽  
Oriol Alberto Rangel-Zúñiga ◽  
Juan Francisco Alcalá-Díaz ◽  
Javier López-Moreno ◽  
Irene Roncero-Ramos ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Type 2 Diabetes Mellitus ◽  
Heart Disease ◽  
Predictive Biomarkers ◽  
Circulating Mirnas
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