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  • Meeting abstract
  • Open Access

Does Ethnicity Impact Outcome Following Cardiac Surgery?

  • 1,
  • 2,
  • 3,
  • 1 and
  • 1
Journal of Cardiothoracic Surgery201510 (Suppl 1) :A157

https://doi.org/10.1186/1749-8090-10-S1-A157

  • Published:

Keywords

  • Cardiac Surgery
  • Transfusion Requirement
  • Operatively Patient
  • Current Risk
  • Urgent Surgery

Background/Introduction

Impact of ethnicity on outcome following cardiac surgery is controversial. Current risk stratification models do not include ethnicity as risk factor.

Aims/Objectives

To assess impact of ethnicity (South-East Asian versus Caucasian) on outcome following cardiac surgery

Method

Patients of Asian ethnicity who underwent cardiac surgery at our unit between Sep 2005 to Dec 2013 were included in the study (n = 855). This group was matched 1:2 with Caucasian patients (n = 1710).

Results

Pre-operative characteristics confirmed that patients of Asian ethnicity were more likely to be younger [Mean Age 61.7 (SD 11.3) v/s 63.2 (SD 10.4) years, p =0.006], females (23% v/s 19%, p = 0.03) with lower BMI (27 vs 29, p < 0.01) as compared to Caucasian population. Asian ethnicity was strongly associated with higher prevalence of diabetes (51% v/s 22%, p = 0.01), non-smokers (69% v/s 30%, p =< 0.01) and need for urgent surgery (42% v/s 29%, p < 0.01). Post operatively patients with Asian Ethnicity had a higher re-exploration rate (7.4% v/s 5.4%, p < 0.04), higher rate of readmission to ITU (2.9% v/s 2.6%, p = 0.04), a greater need for blood and blood products transfusion requirement (Blood Units 1.23 v/s 0.76, p < 0.01) and was also associated with a higher in-hospital mortality (2.8% v/s 1.5%, p = 0.02). Caucasians had a significantly higher prevalence of post op AF (26% v/s 17%, p < 0.01) but shorter ITU (median 1.0 (0,90) days v/s. 1.5 (0,183) days, p < 0.01) and in-hospital stay (median 5 (1,184) days v/s. 6 (3,183), p < 0.01).

Discussion/Conclusion

Asian ethnicity has an adverse impact on outcome following cardiac surgery, in a matched population. If confirmed in large randomised studies, ethnicity should be made part of future risk stratification models.

Authors’ Affiliations

(1)
Department of Cardiothoracic Surgery, Heart and Lung Centre, Wolverhampton, UK
(2)
New Cross Hospital, Wolverhampton, UK
(3)
Research Institute of Healthcare Sciences, University of Wolverhampton, Wolverhampton, UK

Copyright

© Mishra et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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