2016
DOI: 10.1016/j.ijcard.2016.03.012
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Contribution of classical and emerging risk factors to coronary artery disease in Asian Indians

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Cited by 10 publications
(11 citation statements)
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“…The findings described in this paper confirm and extend our knowledge of the dynamics of the present epidemic of CVD in North Indians [38]. The improved socioeconomic conditions in India have resulted in a decrease in physical activity and an increase in obesity, which has led to the increase in the prevalence of CVD and T2DM in urban Indians [16]. The present study subjects depict an unusual clinical picture of uneven distribution of adiposity and dyslipidemia in CAD patients as well as control subjects.…”
Section: Discussionsupporting
confidence: 83%
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“…The findings described in this paper confirm and extend our knowledge of the dynamics of the present epidemic of CVD in North Indians [38]. The improved socioeconomic conditions in India have resulted in a decrease in physical activity and an increase in obesity, which has led to the increase in the prevalence of CVD and T2DM in urban Indians [16]. The present study subjects depict an unusual clinical picture of uneven distribution of adiposity and dyslipidemia in CAD patients as well as control subjects.…”
Section: Discussionsupporting
confidence: 83%
“…Current studies have also proposed that various risk factors conventionally thought as solely environmental, might have a genetic predisposition [11][12][13][14][15]. The interactions of genetic and modifiable risk factors with each other effect cardiovascular risk [16].…”
Section: Introductionmentioning
confidence: 99%
“…PTX3 may become a potentially powerful inflammatory biomarkers for the CAD [30,31]. It may provide a possibility for early screening of CAD patients independently of all classical risk pathways [32]. PTX3, a novel therapeutic and diagnostic target may provide an actionable opportunity for the precision cardiovascular medicine [33].…”
Section: Resultsmentioning
confidence: 99%
“…Multiple cross-sectional studies reported that AIP was a strong predictor of CAD independent of diabetes [23,24,26]. Notably, the Indian Atherosclerosis Research Study revealed that addition of AIP and family history to traditional risk factors improved risk discrimination (C-index: from 0.864 to 0.873) in Asian Indians with CAD [19]. Intriguingly, Frohlich J, et al found that AIP was an independent predictor of angiographically de ned CAD only when FER(HDL) was omitted from multivariate analysis, which may be due to a clear internal correlation between AIP and FER(HDL) [17].…”
Section: Discussionmentioning
confidence: 99%
“…As a consequence, we presume that AIP can better re ect the lipid characteristics of diabetic patients. Recently, AIP has been demonstrated to be associated with CV morbidity and mortality in general population and different patients groups [17][18][19][20][21][22][23][24][25][26][27][28]. However, the prognostic impact of AIP on admission among T2DM patients with ACS undergoing PCI has not been exclusively studied.…”
Section: Introductionmentioning
confidence: 99%