scholarly journals Quantification of positive family history as a risk factor for ischaemic heart disease

2020 ◽  
Author(s):  
Basit Iqbal
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Heart Disease ◽  
Family History ◽  
Myocardial Ischemia ◽  
Ischaemic Heart Disease ◽  
South Asian ◽  
Genetic Basis ◽  
Asian Population ◽  
South Asian Population

ABSTRACTObjectiveThere is very little research regarding quantification of family history as a risk factor for ischaemic heart disease. This is especially so in the South Asian population, which tends to suffer from ischaemic heart disease at a much younger age, even after environmental and dietary factors are accounted for. This indicates a likely genetic basis. The aim of this study was to quantify family history as a risk factor.MethodsIt is a retrospective, cross-sectional study. Patients with family history and hypertension as the only cardiac risk factors were recruited in the study along with control subjects. Myocardial perfusion scintigraphy was used for the detection of myocardial ischemia.Results114 patients had hypertension and family history as the only risk factors. 64 of these patients had myocardial ischemia. 102 control patients were also recruited, of whom only 26 suffered from myocardial ischemia. The odds-ratio was thus calculated to be 3.69 (95% CI: 1.54-9.28, p=0.001).ConclusionsThese findings suggest a strong genetic basis for ischemic heart disease in the South Asian population. This needs to be taken into consideration when such patients present with non-specific cardiac symptoms.

Abstract 215: Principal Components Analysis in a South Asian Population: Cardiovascular Risk Variable Clustering and Obesity

2014 ◽  
Vol 34 (suppl_1) ◽  
Author(s):  
Mohan Thanikachalam ◽  
Ingolfur Agustsson ◽  
Deborah J Wexler ◽  
Vijaykumar Harivanzan ◽  
Ragavendra R Baliga ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Asian ◽  
Principal Components ◽  
Dominant Role ◽  
Asian Population ◽  
South Asian Population ◽  
Variable Clustering ◽  
Risk Variable ◽  
Components Analysis ◽  
Obesity Indices

Aim: Western populations demonstrate a strong role of obesity in clustering of cardiovascular (CV) risk factors. We hypothesized that obesity would not have a dominant role in the clustering of CV risk factors in South Asians, who develop CV disease at young ages despite relatively low BMI. Methods: We selected 6224 South Indians without diabetes from a population-based cross-sectional survey (mean age 42 years; 58% women) for analysis. We used gender-specific principal components analysis (PCA), a multivariate correlation technique, with orthogonal rotation (to produce interpretable factors) to test the hypothesis. The PCA was done using measures of fasting (FPG) and 2 h plasma glucose (2h PG), haemoglobin A1c (A1c), fasting insulin (FIns), triglycerides (TG) and high-density lipoprotein (HDL), diastolic (DBP) and systolic blood pressure (SBP), body mass index (BMI) and waist circumference (WC). We did separate subgroup analyses stratified by various potential modifiers. Results: The obesity indices correlated positively with CV risk variables (except HDL), regardless of gender. PCA failed to demonstrate a single dominant underlying pathological role (one component was rejected at P < 0.0001), but suggested three non-overlapping factors (physiological domains) underlying the clustering of the risk variables, accounting for 60% of the total variance in the data [Fig]. Obesity indices had significant positive loading (95% confidence interval >0.8) only in Factor 1, which included FIns, TG, and HDL. The FPG, 2hPG and A1C were associated with Factor 2. The SBP and DBP were associated with Factor 3. The factor patterns were virtually identical among all the subgroups with coefficients of congruence close to 1.0. Conclusions: These findings are consistent with the presence of three distinct physiological domains underlying CV risk variable clustering. Obesity did not have a dominant role in the clustering of CV risk factors in the South Asian population.

Burden of Cardio- and Cerebro-vascular Diseases and the Conventional Risk Factors in South Asian Population

Global Heart ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. 121 ◽  
Author(s):  
Tanvir Chowdhury Turin ◽  
Nahid Shahana ◽  
Lungten Z. Wangchuk ◽  
Adrian V. Specogna ◽  
Mohammad Al Mamun ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Asian ◽  
Vascular Diseases ◽  
Asian Population ◽  
South Asian Population ◽  
Conventional Risk Factors

Identifying Risk Factors of Atherosclerotic Cardiovascular Disease in the South Asian Population

2018 ◽  
Vol 12 (2) ◽  
pp. 543-544
Author(s):  
Casey Elkins ◽  
Jennie Gunn ◽  
Loretta Jones ◽  
Tracey Taylor ◽  
Kathryn Bydalek ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
South Asian ◽  
Asian Population ◽  
Atherosclerotic Cardiovascular Disease ◽  
The South ◽  
South Asian Population
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