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Comparison of Risk Scores for Prediction of Complications following Aortic Valve Replacement.

Authors :
Wang, Tom Kai Ming
Choi, David Hyun-Min
Haydock, David
Gamble, Greg
Stewart, Ralph
Ruygrok, Peter
Source :
Heart, Lung & Circulation. Jun2015, Vol. 24 Issue 6, p595-601. 7p.
Publication Year :
2015

Abstract

Background Risk models play an important role in stratification of patients for cardiac surgery, but their prognostic utilities for post-operative complications are rarely studied. We compared the EuroSCORE, EuroSCORE II, Society of Thoracic Surgeon's (STS) Score and an Australasian model (Aus-AVR Score) for predicting morbidities after aortic valve replacement (AVR), and also evaluated seven STS complications models in this context. Methods We retrospectively calculated risk scores for 620 consecutive patients undergoing isolated AVR at Auckland City Hospital during 2005-2012, assessing their discrimination and calibration for post-operative complications. Results Amongst mortality scores, the EuroSCORE was the best at discriminating stroke (c-statistic 0.845); the EuroSCORE II at deep sternal wound infection (c=0.748); and the STS Score at composite morbidity or mortality (c=0.666), renal failure (c=0.634), ventilation>24 hours (c=0.732), return to theatre (c=0.577) and prolonged hospital stay >14 days post-operatively (c=0.707). The individual STS complications models had a marginally higher c-statistic (c=0.634-0.846) for all complications except mediastinitis, and had good calibration (Hosmer-Lemeshow test P-value 0.123-0.915) for all complications. Conclusion The STS Score was best overall at discriminating post-operative complications and their composite for AVR . All STS complications models except for deep sternal wound infection had good discrimination and calibration for post-operative complications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14439506
Volume :
24
Issue :
6
Database :
Academic Search Index
Journal :
Heart, Lung & Circulation
Publication Type :
Academic Journal
Accession number :
102879474
Full Text :
https://doi.org/10.1016/j.hlc.2014.11.021