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Early blood biomarkers predict organ injury and resource utilization following complex cardiac surgery.

ABSTRACT: Patients undergoing complex cardiac surgery (thoracic aorta and valve) are at risk for organ failure and increased resource utilization. Neutrophil gelatinase-associated lipocalin (NGAL) has been found to be an early biomarker for renal injury. Multiplex cytokine immunoassays allow the evaluation of the early inflammatory response. We examined the relationship between early biomarker appearance (NGAL and multiplex cytokines) and organ injury and resource utilization.NGAL and multiplex cytokine immunoassays were performed at baseline, 1, 6, and 24 h following surgery on 38 patients undergoing thoracic aorta and valve operations. The mean age was 65 y with 26 males and 12 females. Acute kidney injury (AKIN definition), pulmonary failure (>24 h ventilation), and intensive care unit and hospital stays were examined.One hour following complex cardiac surgery, the quartile of patients with the greatest IL-6 response had higher serum NGAL levels compared with the lowest quartile (347 versus 145 ng/mL, P=0.002), and 70% of these patients progressed to clinical kidney injury. Six hours following surgery, the quartile of patients with the greatest IL-10 response had higher serum NGAL compared with the lowest quartile (271 versus 160, P =0.04), more pulmonary failure (60% versus 10%, P =0.01), and longer ICU and hospital stays (P =0.001).Patients with early elevated biomarkers of inflammation exhibited higher NGAL, more pulmonary failure, and greater resource utilization. Earlier identification of patients at risk for organ injury may allow for earlier intervention and reduce resource utilization.

SUBMITTER: Kim T

PROVIDER: S-EPMC4007483 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Early blood biomarkers predict organ injury and resource utilization following complex cardiac surgery.

Kim Tad T Arnaoutakis George J GJ Bihorac Azra A Martin Tomas D TD Hess Philip J PJ Klodell Charles T CT Tribble Curtis G CG Ejaz A Ahsan AA Moldawer Lyle L LL Beaver Thomas Mark TM

The Journal of surgical research 20091006 2

<h4>Background</h4>Patients undergoing complex cardiac surgery (thoracic aorta and valve) are at risk for organ failure and increased resource utilization. Neutrophil gelatinase-associated lipocalin (NGAL) has been found to be an early biomarker for renal injury. Multiplex cytokine immunoassays allow the evaluation of the early inflammatory response. We examined the relationship between early biomarker appearance (NGAL and multiplex cytokines) and organ injury and resource utilization.<h4>Materi ...[more]

PMID: 20031165

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Project description:Background:Cardiac surgery-associated acute kidney injury (AKI) is associated with increased morbidity and mortality. We examined the utility of combining biomarkers of kidney function loss (serum cystatin C) and kidney tubular damage (urine neutrophil gelatinase-associated lipocalin [NGAL] and Kidney Injury Molecule-1 [KIM-1]) for the prediction of post-cardiac surgery AKI. Methods:Single-center prospective cohort study of 106 adults undergoing coronary artery bypass grafting and/or valve surgery with cardiopulmonary bypass (CPB). Primary outcome was postoperative in-hospital AKI defined by serum creatinine (SCr)-Kidney Disease: Improving Global Outcomes criteria. Biomarkers were measured preoperatively, 6 hours after CPB and on postoperative days (PODs) 1 to 4. Results:A total of 23 subjects (21.7%) developed AKI. After adjusting for preoperative left ventricular ejection fraction, body mass index >30 kg/m2, and estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2, the combination of peak serum cystatin C and peak urine KIM-1/creatinine (Cr) (6 hours post-CPB to POD 1) above optimal cutoff significantly associated with postoperative AKI (odds ratio [OR]: 5.32; 95% confidence interval [CI]: 1.31-21.67; P = 0.020). This biomarker combination significantly improved the performance of the clinical model for the prediction of postoperative AKI (area under the curve [AUC]: 0.77, 95% CI: 0.65-0.90 for the clinical model alone versus 0.83, 95% CI: 0.73-0.93 for the clinical model with the addition of biomarker data, P = 0.049). Conclusions:Combining biomarkers of postoperative kidney function loss and postoperative kidney tubular damage significantly improved prediction of in-hospital AKI following cardiac surgery. Future large, multicenter studies are warranted to assess whether panels of biomarkers reflecting distinct pathobiology can be used to guide interventions and improve short- and long-term outcomes in patients undergoing cardiac surgery.

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Early blood biomarkers predict organ injury and resource utilization following complex cardiac surgery.

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Early blood biomarkers predict organ injury and resource utilization following complex cardiac surgery.

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