Cardiac surgery risk-stratification models.

Cardiovascular Journal of Africa
Carla PrinsFrancis E Smit

Abstract

Risk models are widely used to predict outcomes after cardiac surgery. Not only is risk modelling applied in the assessment of the relative impact of specific risk factors on surgical outcomes, but also in patient counselling, the selection of treatment options, comparison of postoperative results, and quality-improvement programmes. At least 19 risk-stratification models exist for open-heart surgery. The focus of risk models was originally on pre-operative prediction of mortality. However, major morbidity is in general more common than mortality and the ability to predict only operative mortality is not an adequate method of determining surgical outcome. Multiple intra- and postoperative variables have been excluded in the majority of models and the possible effect of their future inclusion remains to be seen. The unique patient population of sub-Saharan Africa requires a unique risk model that reflects the patient population and levels of care.

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Citations

May 13, 2017·Vascular Medicine·M Rizwan SardarHerbert D Aronow
Jun 14, 2018·European Journal of Cardiovascular Nursing : Journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology·Pernille F CromhoutSelina Kikkenborg Berg
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Apr 14, 2020·International Anesthesiology Clinics·Quoc-Sy NguyenSwapnil Khoche
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May 2, 2021·Heart, Lung & Circulation·Jessy A NellipudiJayme S Bennetts
Jun 18, 2021·Journal of Cardiac Surgery·Kevin LimRandolph Hung Leung Wong

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Methods Mentioned

BETA
coronary artery bypass

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