scholarly journals AGE AND GENDER WISE DISTRIBUTIONOF RISK FACTORS AMONG PATIENTS WITHCORONORY ARTERY DISEASE.

1969 ◽  
Vol 4 (2) ◽  
pp. 523-528
Author(s):  
MUHAMMAD ASIF IQBAL ◽  
IKRAMULLAH ◽  
ABDUL HADI ◽  
FAROOQ AHMAD ◽  
MUHAMMAD REHANUL HAQ ◽  
...  

OBJECTIVE: To describe conventional risk factors by age and gender in coronary artery diseasepatients.MATERIALS AND METHODS: This study was conducted in outdoor patient department of agencyheadquarter hospital (AHQ) Landikotal, Khyber agency, from June to October 2013. It was a hospitalbased descriptive observational study. Sample size was 926 patients with established coronary arterydisease, recruited through purposive convenient sampling technique. Adult patients (above 18 years) ofboth genders with coronary artery disease were included in the study. Every patient was evaluated forthe presence of conventional risk factors. Card vascular risk factors were assessed by a self-administeredquestionnaire and various laboratory tests.RESULTS: Total patients were 926, male were 546(59%). Mean age was 58.28±12.005 years (20-95years). Study population was divided into younger (age <40 years) and older age groups (> 40 years).Younger patients were 66(7.1%) and older age 866(92.9%). Hypertension was present in 563 patients(61.1%) with 59.2%and 63.2% in male and female, respectively (p=0.186). Diabetes was present in29.9% with 27.8% in male and 32.9% in female patients (p=0.098).Hypertension was significantly morecommon in older patients while smoking and heavy fat intake was significantly more common inyounger patients. Other risk factors for CAD were similar across younger and older age groups.CONCLUSION: Conventional risk factor in male and female differ widely with smoking, ex-smoker,heavy fat intake and obesity is significantly more common in male patients, while family history forCAD is common in female patients. Diabetes is higher in 40 years or above patients while smoking ishigher in patients less than 40 years.KEY WORDS: Conventional Risk Factor, Coronary Artery Disease, Age, Gender

2021 ◽  
Vol 8 (11) ◽  
pp. 608-612
Author(s):  
Sunil S. Thanvi ◽  
Sunil K. Karna ◽  
Utsav B Patel

BACKGROUND Routine screening of healthy individuals for the presence of cardiovascular risk factors is important for identification of high-risk coronary artery disease (CAD) patients at early stage and to provide preventive care. Considering the high burden of CAD, such investigations are of significant importance in Indian context. METHODS In this cross-sectional study, adult individuals (18 – 68 years) were evaluated for pre-existing diseases, lipid profile, blood glucose profile, thyroid profile, haemoglobin (Hb) and vitamins D3 and B12 levels after obtaining informed consent. These variables were compared between patients stratified based on their gender and age (< 40, 40 – 60, > 60 years). RESULTS A total of 1,508 participants (mean age: 49 ± 11 years; 49.9 % females) were investigated. Hypertension, diabetes, dyslipidaemia, anaemia, vitamin D3 and B12 deficiencies, hyperthyroidism, and hypothyroidism were observed in 31.2 %, 26.5 %, 32.0 %, 8.6 %, 35.3 %, 25.1 %, 21.0 % and 0.6 % of patients respectively. Prevalence of hypertension, diabetes, and dyslipidaemia increased with ageing, while deficiencies of Hb, vitamin D3, and vitamin B12 as well as hyperthyroidism and hypothyroidism were comparable across all age groups. Males were more prone to hypertension, diabetes, and dyslipidaemia, while females were more prone to have Hb deficiency, hyperthyroidism, and hypothyroidism. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting blood sugar (FBS), vitamin D3, and vitamin B12 were elevated with increase in age, while Hb levels decreased. Males exhibited higher levels of TG, low-density lipoprotein cholesterol (LDL-C), TC / HDL, LDL / HDL, FBS, and Hb, while females displayed higher levels of vitamin D3 and B12. CONCLUSIONS Our findings verify the role of age and gender on majority of cardiovascular risk factors. The high prevalence of cardiovascular risk factors is alarming and demands the need for appropriate health-care measures. KEYWORDS Age, Coronary Artery Disease, Gender, Risk Factor


2018 ◽  
Vol 03 (04) ◽  
pp. 231-236
Author(s):  
Suresh Yerra ◽  
Shravan Kumar ◽  
Indrani Garre ◽  
Achukatla Kumar

Abstract Background Ankle brachial index (ABI) has been shown to be a specific and sensitive for the diagnosis of peripheral artery disease (PAD). Both PAD and coronary artery disease (CAD) are caused by atherosclerosis, which is a narrowing of the arteries due to the build-up of plaque and fatty material inside the lumen. The aim of our study is to find out the relation between ABI and coronary angiographic findings with cardiovascular risk factors and gender in patients admitted in a tertiary care center with a provisional diagnosis of CAD. Methods It is a cross-sectional observational study, in which patients admitted with suspected CAD are included. In this study, patient characteristics such as demographics, family history, past history of CAD, and other comorbidities were included, and also the risk factors for atherosclerosis such as hypertension, diabetes, dyslipidemia, and smoking history were enquired by using a predetermined proforma. In all study patients, ABI was measured prior to coronary artery angiogram (CAG). ABI ≤ 0.9 was considered as PAD, and ABI between 0.9 and 1.4 was considered as normal. Then, all patients included in the study underwent CAG. The results of the ABI reports were compared with the angiographic findings and atherosclerotic risk factors. Results In this study, 90 patients were included who were admitted for CAG. Twenty-two patients have ABI ≤ 1.09 among them, 9 patients have no CAD, and 13 patients have CAD on CAG. Sixty-eight patients have ABI ≥ 1.10, with 28 patients having no CAD and 40 patients having CAD. There is difference in the right and left mean ABI with right ABI less than left ABI, and it is statistically significant (p = 0.014). By binary logistic regression, the determinants of CAD are left ventricle ejection fraction (EF) and age, and ABI was not a predictor. In our study, out of 90 patients, only 1 had ABI < 0.9 (1.1%). Therefore, it is not worth doing ABI in all patients undergoing CAG to rule out peripheral vascular disease (PVD). This is true in male and female patients and even in the diabetics. In comparing male and female ABI, there is no significance between ABI in both the sexes. Conclusion This study findings concluded that ABI is not a useful method in assessing the risk factors and the severity of CAD in suspected patients. Only left ventricle EF and age were the predictors of the presence of CAD, and ABI was not a predictor. This study have shown the difference in the right and left mean ABI with right ABI less than left ABI, which is an important finding. This study has also shown the similar prevalence of ABI in both sexes. However, to make more accurate results on ABI (right vs. left), we should plan studies with larger sample size in future.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Wong ◽  
J Yap ◽  
KK Yeo

Abstract Funding Acknowledgements Type of funding sources: None. Background and Aims The influence of age and gender on clinical atherosclerotic cardiovascular disease is well reported, but literature remains sparse on whether these extend to the disease in its preclinical stage. We aim to report the prevalence, risk-factors and impact of age and gender on the burden of subclinical coronary atherosclerosis in a healthy Asian population. Methods Healthy subjects aged 30-69 years old, with no history of cardiovascular disease or diabetes were recruited from the general population. Subclinical coronary atherosclerosis was quantified via the Coronary Artery Calcium Score (CACS) with CACS of 0 indicating the absence of calcified plaque, 1 to 10 minimal plaque, 11 to 100 mild plaque, and &gt;100 moderate to severe plaque. Results A total of 663 individuals (mean age 49.4 ± 9.2 years, 44.8% male) were included. The prevalence of any CAC was 29.3% with 9% having CAC &gt; 100.  The prevalence was significantly higher in males than females (43.1 vs 18.0%, p &lt; 0.001). These gender differences became increasingly pronounced with increasing age, especially in those with moderate-severe CAC. Multivariable analysis revealed significant associations between increasing age, male, higher blood pressure, increased glucose levels and higher LDL cholesterol levels with the presence of any CAC. LDL cholesterol was more significantly associated with CAC in females compared to males (Pinteraction = 0.022). Conclusions The prevalence of preclinical atherosclerosis increased with age, and was higher in males than females, with gender-specific differences in associated risk factors. These results will better inform individualised future risk management strategies to prevent the development and progression of coronary artery disease within healthy individuals.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Ejupi ◽  
A Aziz ◽  
P Ong ◽  
B H Shafi ◽  
T Lange ◽  
...  

Abstract Background Coronary vascular dysfunction is a common cause of symptoms in patients with angina and no obstructed coronary arteries (ANOCA). Several endotypes have been defined but there are big gaps in our understanding of the underlying pathophysiology. Proteomic analyses may improve the understanding of the pathophysiology. Purpose Exploratory approach to 1) compare the proteomic biomarker profile across different types of vascular dysfunction in ANOCA and 2) assess the value of prediction models with protein biomarkers for vascular dysfunction in ANOCA. Methods We included 107 angina patients without previous coronary artery disease, left ventricular ejection fraction &gt;45% and no obstructive coronary artery disease (CAD) (&lt;50% stenosis of epicardial vessels) on coronary angiography. Three types of vascular dysfunction were assessed: 1) Vasomotor dysfunction (VMD) defined as epicardial or microvascular vasospasm on acetylcholine provocation, 2) Coronary microvascular dysfunction (CMD) defined as coronary flow velocity reserve (CFVR) ≤2.5 on echocardiography of the LAD on adenosine stimulation and 3) Reactive Hyperaemia Index (RHI) ≤1.67 as a measure of peripheral endothelial dysfunction. Blood samples were analysed for 184 protein biomarkers related to cardiovascular disease. Correlations between biomarkers and results of vascular function assessments were analysed with Pearson's correlation coefficient and visualized with volcano plots. Significantly correlated biomarkers (p&lt;0.05) were tested in prediction models for their incremental value over age and gender with C-statistics. Results CFVR was correlated to 24 biomarkers before (figure 1a) and 2 biomarkers after adjustment for age and gender. The basic prediction model had AUC of 0.68 and was not significantly improved by adding biomarkers (figure 2a). RHI was correlated to 27 biomarkers before (figure 1b) and 10 biomarkers after adjustment for age and gender. The clinical prediction model was significantly improved (p=0.037) by adding TRAIL R2 and IL-18, in addition to age and gender, with an AUC of 84.4 (figure 2b). VMD was correlated to 14 biomarkers before (figure 1c) and 6 biomarkers after adjustment for age and gender. The prediction model was significantly improved (p=0.011) by adding HSP-27, RARRES-2 and SERPINA-12 in addition to age and gender in prediction of VMD with an AUC of 85.4 (figure 2c). Conclusion Several biomarkers were associated with vascular dysfunction in ANOCA patients with little overlap between different endotypes. We identified biomarkers that may contribute to the understanding of the underlying pathophysiology and have applications for screening. Results need to be confirmed in larger studies. FUNDunding Acknowledgement Type of funding sources: Public hospital(s). Main funding source(s): Department of Cardiology, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Denmark.Department of Cardiology and Angiology, Robert Bosch Krankenhaus, Stuttgart, Germany


Author(s):  
A. Cappelletti ◽  
M. Mazzavillani ◽  
A. Pessina ◽  
A. Durante ◽  
M. Pisani ◽  
...  

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