Objective
Acute kidney injury (AKI) is a severe complication of cardiac surgery associated with increased morbidity and mortality, yet AKI classification for neonates remains challenging. We characterized patterns of post-operative fluid overload (FO) as a surrogate marker for AKI and as a risk factor of poor post-operative outcomes in neonates undergoing cardiac surgery.
Design
Retrospective cohort study.
Setting
Single, congenital heart center destination program.
Patients
435 neonates undergoing cardiac surgery with cardiopulmonary bypass from January 2006 through December 2010.
Interventions
None
Measurements and Main Results
Demographics, diagnosis, and perioperative clinical variables were collected, including daily weights and serum creatinine (SCr) levels. A composite poor clinical outcome (death, need for renal replacement therapy (RRT), or extracorporeal life support (ECLS) within 30 post-operative days) was considered the primary outcome measure. Twenty-one neonates (5%) had a composite poor outcome with 7 (2%) requiring RRT, 8 (2%) requiring ECLS, and 14 (3%) dying between 3 and 30 days post-surgery. Neonates with a composite poor outcome had significantly higher maximum FO (>20%) and were slower to diurese. A receiver-operating characteristic curve determined that FO ≥ 16% and SCr ≥ 0.9 on post-operative day 3 were the optimal cutoffs for significant discrimination on the primary outcome (area under the curve = 0.71 and 0.76, respectively). In multivariable analysis, FO ≥ 16% (adjusted odds ratio [AOR] = 3.7) and SCr ≥ 0.9 (AOR = 6.6) on post-operative day 3 remained an independent risk factor for poor outcome. FO ≥ 16% was also significantly associated with cardiac arrest requiring cardiopulmonary resuscitation, prolonged intensive care unit stay, and chest re-exploration.
Conclusions
This study highlights the importance of monitoring fluid balance in the neonatal cardiac surgical population, and suggests that daily FO, a readily-available, non-invasive marker of renal function, may be a sensitive and specific predictor of adverse outcomes.