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https://doi.org/10.1371/journal.pone.0132278
Title: | Ethnicity modifies associations between cardiovascular risk factors and disease severity in parallel Dutch and Singapore coronary cohorts | Authors: | Gijsberts C.M. Seneviratna A. De Carvalho L.P. Den Ruijter H.M. Vidanapthirana P. Sorokin V. Stella P. Agostoni P. Asselbergs F.W. Richards A.M. Low A.F. Lee C.-H. Tan H.C. Hoefer I.E. Pasterkamp G. De Kleijn D.P.V. Chan M.Y. |
Keywords: | antiangina pectoris agent antithrombocytic agent beta adrenergic receptor blocking agent hydroxymethylglutaryl coenzyme A reductase inhibitor acute coronary syndrome adult angiocardiography Article body mass cardiovascular risk Caucasian Chinese controlled study coronary artery bypass surgery coronary artery disease diabetes mellitus disease severity dyslipidemia ethnic difference female human hypertension Indian major clinical study Malay (people) male mortality Netherlands non ST segment elevation myocardial infarction parallel design patient history of coronary artery bypass graft percutaneous coronary intervention sex difference Singapore smoking ST segment elevation myocardial infarction unstable angina pectoris aged Asian continental ancestry group Caucasian clinical trial comparative study coronary angiography diagnostic imaging epidemiology ethnology middle aged multicenter study prospective study severity of illness index Aged Asian Continental Ancestry Group Coronary Angiography Coronary Artery Disease European Continental Ancestry Group Female Humans Male Middle Aged Netherlands Prospective Studies Severity of Illness Index Singapore |
Issue Date: | 2015 | Publisher: | Public Library of Science | Citation: | Gijsberts C.M., Seneviratna A., De Carvalho L.P., Den Ruijter H.M., Vidanapthirana P., Sorokin V., Stella P., Agostoni P., Asselbergs F.W., Richards A.M., Low A.F., Lee C.-H., Tan H.C., Hoefer I.E., Pasterkamp G., De Kleijn D.P.V., Chan M.Y. (2015). Ethnicity modifies associations between cardiovascular risk factors and disease severity in parallel Dutch and Singapore coronary cohorts. PLoS ONE 10 (7) : e0132278. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0132278 | Abstract: | Background: In 2020 the largest number of patients with coronary artery disease (CAD) will be found in Asia. Published epidemiological and clinical reports are overwhelmingly derived from western (White) cohorts and data from Asia are scant. We compared CAD severity and all-cause mortality among 4 of the world's most populous ethnicities: Whites, Chinese, Indians and Malays. Methods: The UNIted CORoNary cohort (UNICORN) simultaneously enrolled parallel populations of consecutive patients undergoing coronary angiography or intervention for suspected CAD in the Netherlands and Singapore. Using multivariable ordinal regression, we investigated the independent association of ethnicity with CAD severity and interactions between risk factors and ethnicity on CAD severity. Also, we compared all-cause mortality among the ethnic groups using multivariable Cox regression analysis. Results: We included 1,759 White, 685 Chinese, 201 Indian and 224 Malay patients undergoing coronary angiography. We found distinct inter-ethnic differences in cardiovascular risk factors. Furthermore, the associations of gender and diabetes with severity of CAD were significantly stronger in Chinese than Whites. Chinese (OR 1.3 [1.1-1.7], p = 0.008) and Malay (OR 1.9 [1.4-2.6], p<0.001) ethnicity were independently associated with more severe CAD as compared to White ethnicity. Strikingly, when stratified for diabetes status, we found a significant association of all three Asian ethnic groups as compared to White ethnicity with more severe CAD among diabetics, but not in non-diabetics. Crude all-cause mortality did not differ, but when adjusted for covariates mortality was higher in Malays than the other ethnic groups. Conclusion: In this population of individuals undergoing coronary angiography, ethnicity is independently associated with the severity of CAD and modifies the strength of association between certain risk factors and CAD severity. Furthermore, mortality differs among ethnic groups. Our data provide insight in inter-ethnic differences in CAD risk factors, CAD severity and mortality. Copyright: © 2015 Gijsberts et al. | Source Title: | PLoS ONE | URI: | https://scholarbank.nus.edu.sg/handle/10635/165690 | ISSN: | 19326203 | DOI: | 10.1371/journal.pone.0132278 |
Appears in Collections: | Staff Publications Elements |
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