scholarly journals Lack of association between peroxisome proliferator-activated receptor-gamma-2 gene variants and the occurrence of coronary heart disease in patients with diabetes mellitus

2002 ◽  
pp. 545-551 ◽  
Author(s):  
M Bluher ◽  
T Klemm ◽  
T Gerike ◽  
H Krankenberg ◽  
G Schuler ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Multiple Logistic Regression Analysis ◽  
Peroxisome Proliferator ◽  
Haemoglobin A1c ◽  
Peroxisome Proliferator Activated Receptor ◽  
Patients With Diabetes ◽  
Reduced Risk

OBJECTIVE: Recent evidence indicates that peroxisome proliferator-activated receptor-gamma (PPARgamma) is expressed at high levels in foam cells of atherosclerotic lesions, that PPARgamma agonists may directly modulate vessel wall function and that mutations in the PPARgamma-2 gene are associated with a reduced risk of coronary artery disease. METHODS: We investigated whether known variants in the PPARgamma-2 gene are associated with the occurrence of coronary heart disease (CHD) in 365 patients with type 2 diabetes, prospectively characterised for the presence or absence of CHD. The Pro115Gln, Pro12Ala, Pro467Leu, Val290Met mutations and two polymorphisms C478T and C161T of the PPARgamma-2 gene were examined using PCR, denaturing gradient gel electrophoresis and direct sequencing. RESULTS: The distribution of the Pro12Ala, Ala12Ala, C161T and T161T variants was not significantly different between patients with and without CHD, independent of the gender. The Pro12Ala (P=0.011) and the Ala12Ala (P=0.006) variant were associated with a higher body mass index (BMI) compared with the Pro12Pro genotype. A multiple logistic regression analysis introducing the typical risk factors for CHD (age, sex, hypertension, smoking, BMI >26 kg/m2, elevated low density lipoprotein cholesterol and haemoglobin A1c >7%) identified age >60, male gender, hypertension and a higher BMI, but not the PPARgamma-2 variants, as significant risk factors for CHD in our study groups. CONCLUSION: The PPARgamma-2 genotype was not associated with an increased or reduced risk of the occurrence of CHD and can therefore not be regarded as an independent risk factor for CHD in patients with diabetes mellitus.

scholarly journals Faktor Risiko Terjadinya Penyakit Jantung Koroner pada Pasien di Unit Rawat Jalan Rumah Sakit Panti Rapih Yogyakarta

2020 ◽  
Vol 1 (1) ◽  
pp. 21-30
Author(s):  
Deviana Widayanti ◽  
Chatarina Setya Widyastuti
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Family History ◽  
Disease Risk ◽  
Sampling Technique ◽  
Excess Body Weight ◽  
History Of ◽  
Lack Of Exercise

Background: Coronary Heart Disease (CHD) Is a condition when the arteries that supply blood to the heart wall experience hardening and narrowing. It is estimated that 30% of coronary heart disease causes death worldwide. Objective: This study aims to determine the risk factors for CHD in Panti Rapih Hospital. Methods: This descriptive study aims to determine the risk factors for CHD in outpatients at Panti Rapih Hospital. The population is patients who have been diagnosed with coronary heart disease and the sample was taken by 50 respondents with non-random accidental sampling technique. This research take the data use questionnaire and make univariat analysis. Results: Risk factors for CHD are a number of factors that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight42% and lack of exercise 38%. Conclusion: Risk factors for CHD that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight 42% and lack of exercise 38%.     Keywords: coronary heart disease, risk factors

scholarly journals Analisis Survival Penyakit Jantung Koroner Berulang

2018 ◽  
Vol 6 (1) ◽  
pp. 43
Author(s):  
Fidya Panorama Damayanti ◽  
Arief Wibowo
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Survival Data ◽  
Recurrent Event ◽  
Observational Research ◽  
Research Approach ◽  
Hypertension Status ◽  
Cox Regression Analysis

Survival analysis is one of data analysis the result showing certain times had happened. Cox regression analysis is one of the most powerful and commonly used for analyzing survival data since the result of this method showing nearly similar result to parametric model. This study aim is to determine case of recurrent Coronary Heart Disease risk factors, and to know how many survival in day of recurrent Coronary Heart Disease based on the risk factors at RS Islam Surabaya in 2015 – 2016. Measurement in research subjects was conducted in the medical record. This research using observational research approach. Subjects were 63 Coronary Heart Disease inpatients in RS Islam Surabaya. Measurement was conducted to obtain information of examined variables. Independent variables were data sensor status, survival time (measured in day), sex, age, hypertension, hyperlipidemia, and diabetes mellitus. This analysis showing the occurrence time average of recurrent CHDs in Coronary Heart Disease patients in general is 614 days. Rate of reccurence had similar risks for all age groups, gender, hypertension, hyperlipidemia, and diabetes mellitus. CHD patients with hypertension status have risk of 9.291 times greater than no hypertension status. This research can be used by RS Islam Surabaya to gave Communication, Information, and Education to the patient and their relatives especially for patient with hypertension status to have continuous check-up in order not to get another recurrent event of CHD in the near future.

P5529Vascular endothelial growth factor-D and mortality in suspected or known coronary heart disease patients with diabetes: a subanalysis of the ANOX study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Wada ◽  
M Suzuki ◽  
M Matsuda ◽  
Y Ajiro ◽  
T Shinozaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Growth Factor ◽  
Coronary Angiography ◽  
Cardiovascular Events ◽  
Cardiovascular Death ◽  
Angiogenic Growth Factors ◽  
Patients With Diabetes ◽  
Endothelial Growth Factor

Abstract Background Diabetes is a risk factor for coronary heart disease (CHD), but further risk stratification in patients with diabetes is necessary to improve the prediction and prevention of cardiovascular events and deaths. Vascular endothelial growth factor-D (VEGF-D) is a secreted glycoprotein that can act as lymphangiogenic and angiogenic growth factors through binding to its specific receptors, VEGFR-3 (Flt-4) and VEGFR-2 (KDR/Flk-1). VEGF-D signaling via VEGFR-3 plays an important role in lipoprotein metabolisms which may contribute to CHD. VEGF-D signaling has been used as a therapeutic target of human diseases such as lymphangioleiomyomatosis and refractory angina. Furthermore, in clinical settings, the VEGF-D level is already established as a diagnostic biomarker for lymphangioleiomyomatosis. However, the prognostic value of VEGF-D in suspected or known CHD patients with diabetes is unknown. Methods Serum VEGF-D levels were measured in 1,087 suspected or known CHD patients with diabetes undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. Results During the follow-up, 147 patients died from any cause, 47 died from cardiovascular disease, and 94 developed MACE. After adjustment for established risk factors, VEGF-D levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.34; 95% confidence interval [CI], 1.21–1.47), cardiovascular death (HR, 1.40; 95% CI, 1.18–1.62), and MACE (HR, 1.22; 95% CI, 1.07–1.40). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-D levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.258; 95% CI, 0.088–0.429; P=0.003; integrated discrimination improvement [IDI], 0.013; 95% CI, 0.002–0.024; P=0.022), but not that of cardiovascular death (NRI, 0.046; 95% CI, −0.245–0.336; P=0.759; IDI, 0.013; 95% CI, −0.005–0.031; P=0.146) or MACE (NRI, 0.064; 95% CI, −0.146–0.274; P=0.552; IDI, 0.001; 95% CI, −0.002–0.004; P=0.557). Conclusions In suspected or known CHD patients with diabetes undergoing elective coronary angiography, elevated VEGF-D levels may predict all-cause mortality independent of established risk factors and cardiovascular biomarkers. Acknowledgement/Funding The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization

scholarly journals Atrial fibrillation risk factors in patients with ischemic stroke

2021 ◽  
Vol 17 (1) ◽  
pp. 19-24
Author(s):  
Paweł Wańkowicz ◽  
Przemysław Nowacki ◽  
Monika Gołąb-Janowska
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Nonvalvular Atrial Fibrillation ◽  
Multivariable Logistic Regression Model ◽  
Lipid Metabolism Disorders

IntroductionAtrial fibrillation (AF) is the most common heart arrhythmia. The condition is known to increase the risk of ischemic stroke (IS). Classical risk factors for the development of AF include advanced age, hypertension, diabetes mellitus, coronary heart disease and lipid metabolism disorders. Importantly, these are also recognized risk factors for ischemic stroke. Therefore, the purpose of this study was to investigate AF risk factors in patients with IS.Material and methodsThis is single-centre retrospective study which included 696 patients with acute ischemic stroke and nonvalvular atrial fibrillation and 1678 patients with acute ischemic stroke without atrial fibrillation.ResultsIn this study we found – based on a univariable and multivariable logistic regression model – that compared to the patients with IS without AF, the group of patients which suffered from IS with nonvalvular atrial fibrillation (NVAF) had a higher proportion of patients who smoked cigarettes (OR = 15.742, p < 0.01; OR = 41.1, p < 0.01), had hypertension (OR = 5.161, p < 0.01; OR = 5.666, p < 0.01), history of previous stroke (OR = 3.951, p < 0.01; OR = 4.792, p < 0.01), dyslipidemia (OR = 2.312, p < 0.01; OR = 1.592, p < 0.01), coronary heart disease (OR = 2.306, p < 0.01; OR = 1.988, p < 0.01), a greater proportion of female patients (OR = 1.717, p < 0.01; OR = 2.095, p < 0.01), higher incidence of diabetes mellitus (OR = 1.341, p < 0.01; OR = 1.261, p = 0.106) and more patients in old age (OR = 1.084, p < 0.01; OR = 1.101, p < 0.01).ConclusionsOur study demonstrates a need for thorough and systematic monitoring of post-ischemic stroke patients in whom AF has not been detected and who display other important risk factors. Regardless of the stroke, these factors may be responsible for development of AF.

scholarly journals Risk factors for cognitive impairment in older people with diabetes: a community-based study

2019 ◽  
Vol 10 ◽  
pp. 204201881983664 ◽  
Author(s):  
Shuangling Xiu ◽  
Qiuju Liao ◽  
Lina Sun ◽  
Piu Chan
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cognitive Impairment ◽  
Older People ◽  
Multiple Logistic Regression Analysis ◽  
Apoe Genotype ◽  
Community Dwelling ◽  
Urban Living ◽  
Obesity Hypertension

Aim: The aim of this study was to investigate the risk factors for cognitive impairment in older people with diabetes. Methods: This cross-sectional study included 2626 community-dwelling participants with diabetes aged ⩾55 years, living in Beijing, China. The participants were screened for risk factors, including smoking, obesity, hypertension, stroke, coronary heart disease, dyslipidemia, depression, apolipoprotein E (APOE) genotype, and low physical activity. Cognitive function was assessed with the scholarship-adjusted Mini-Mental State Examination (MMSE): MMSE ⩽17 for iliterate participants; MMSE ⩽20 for primary school graduates (⩾6 years of education); and MMSE ⩽24 for junior school graduates or above (⩾9 years of education). Results: The prevalence of cognitive impairment in older people with diabetes was 9.90%. Multiple logistic regression analysis demonstrated that stroke [odds ratio (OR) = 1.71, 95% confidence interval (CI) = 1.20–2.43], less than 0.5 h exercise per day (OR = 1.89, 95% CI = 1.37–2.61), and depression (OR = 1.64, 95% CI = 1.06–2.54), but not smoking, obesity, hypertension, dyslipidemia, and coronary heart disease, were independent risks for cognitive impairment in older people with diabetes. In addition, being married (OR = 0.66, 95% CI = 0.47–0.93) and urban living (OR = 0.33, 95% CI = 0.22–0.48) could decrease the risk of cognitive impairment. Conclusions: Stroke, depression, and less than 0.5 h exercise per day were independent risks for cognitive impairment in older people with diabetes, whereas being married and urban living were protective.

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