Detalle Publicación


Reply to: predictive models for acute kidney injury after cardiac surgery

ISSN: 0265-0215
Volumen: 35
Número: 1
Páginas: 65 - 66
Fecha de publicación: 2018
BACKGROUND Four predictive models for acute kidney injury associated with cardiac surgery were developed by Demirjian in the United States in 2012. However, the usefulness of these models in clinical practice needs to be established in different populations independent of that used to develop the models. OBJECTIVES Our aim was to evaluate the predictive performance of these models in a Spanish population. DESIGN A multicentre, prospective observational study. DATA SOURCES Twenty-three Spanish hospitals in 2012 and 2013. ELIGIBILITY CRITERIA Of 1067 consecutive cardiac patients recruited for the study, 1014 patients remained suitable for the final analysis. MAIN OUTCOME MEASURES Dialysis therapy, and a composite outcome of either a doubling of the serum creatinine level or dialysis therapy, in the 2 weeks (or until discharge, if sooner) after cardiac surgery. RESULTS Of the 1014 patients analysed, 34 (3.4%) required dialysis and 95 (9.4%) had either dialysis or doubled their serum creatinine level. The areas under the receiver operating characteristic curves of the two predictive models for dialysis therapy, which include either presurgical variables only, or combined presurgical and intrasurgical variables, were 0.79 and 0.80, respectively. The model for the composite endpoint that combined presurgical and intrasurgical variables showed better discriminatory ability than the model that included only presurgical variables: the areas under the receiver operating characteristic