- Meeting abstract
- Open Access
1011 Cardiac MRI enhances predictive models for length of stay after coronary artery bypass surgery
© Zeman et al; licensee BioMed Central Ltd. 2008
- Published: 22 October 2008
- Left Ventricular Ejection Fraction
- Lower Left Ventricular Ejection Fraction
- Gold Standard Technique
- Mortality Prediction Model
- CABG Patient
Coronary artery bypass surgery (CABG) is among the most common surgical procedures worldwide and accounts for more resources expended in cardiovascular medicine than any other single procedure. As a result, many surgical risk models predicting outcome and length of stay (LOS) after CABG surgery have been developed. Numerous cardiovascular risk and operative factors are incorporated into such models, including traditional estimates of left ventricular ejection fraction (LVEF) by echocardiography or angiography. No study to date has included LVEF by cardiac MRI into these models, despite it being considered the gold standard technique for assessment of systolic function.
This study was done to determine whether LVEF by MRI adds independent predictive value to standard surgical risk models estimating mortality and length of stay after CABG surgery.
This retrospective study included only patients undergoing cardiac MRI within 6 months of CABG surgery at the Washington Hospital Center from 2003–2007. Out of 6069 CABG patients, 167 met the inclusion criteria. For each patient, 31 major demographic, cardiovascular risk, diagnostic, operative and post-operative factors were recorded, including LVEF by MRI and by a more traditional (echocardiographic or angiographic) modality. MRI LVEF was derived from tracings of multiple short axis cardiac cine acquisitions using balanced TFE technique on a 1.5 T Philips Intera scanner. In addition, Society of Thoracic Surgeons (STS) prediction model scores for surgical mortality, short LOS (< 6 days) and long LOS (> 14 days) were calculated from the data collected. Appropriate univariate and multivariate analyses were performed.
Both MRI and traditional measurements of LVEF correlated inversely with the LOS (P < 0.001 for both). Apart from the STS prediction models, the presence of a major post-operative complication was the only factor as significantly correlated with LOS (P < 0.001). On multivariate analyses, STS prediction models for short LOS and long LOS correlated significantly with a LOS below median value (< 7 days) and above median value (≥ 7 days) respectively (P < 0.001 for both). LVEF by MRI independently correlated with LOS on multivariate analyses using either the STS short LOS (P < 0.03) or long LOS (P < 0.03) model, despite these already incorporating a traditional LVEF measurement. Overall, MRI LVEF was significantly higher than traditional LVEF by approximately 8% (P < 0.001). Although lower LVEF by MRI predicted in-hospital mortality independent of the STS mortality prediction model (P < 0.04), this study was not powered for such an analysis as only 5 deaths occurred in the entire cohort.
Measurement of left ventricular ejection fraction by cardiac MRI adds significant independent predictive value to established surgical models estimating length of stay after CABG surgery. This study is the first to show that, compared to traditional LVEF measurements, cardiac MRI more accurately predicts patient outcome and their length of hospital stay after CABG surgery.
This article is published under license to BioMed Central Ltd.