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Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery

Open access
Parikh, Chirag R., Coca, Steven G., Thiessen-Philbrook, Heather, Shlipak, Michael G., Koyner, Jay L., Wang, Zhu, Edelstein, Charles L., Devarajan, Prasad, Patel, Uptal D., Zappitelli, Michael, Krawczeski, Catherine D., Passik, Cary S., Swaminathan, Madhav, Garg, Amit X.·2011·Journal of the American Society of Nephrology

Abstract

Acute kidney injury (AKI) is a frequent complication of cardiac surgery and increases morbidity and mortality. The identification of reliable biomarkers that allow earlier diagnosis of AKI in the postoperative period may increase the success of therapeutic interventions. Here, we conducted a prospective, multicenter cohort study involving 1219 adults undergoing cardiac surgery to evaluate whether early postoperative measures of urine IL-18, urine neutrophil gelatinase-associated lipocalin (NGAL), or plasma NGAL could identify which patients would develop AKI and other adverse patient outcomes. Urine IL-18 and urine and plasma NGAL levels peaked within 6 hours after surgery. After multivariable adjustment, the highest quintiles of urine IL-18 and plasma NGAL associated with 6.8-fold and 5-fold higher odds of AKI, respectively, compared with the lowest quintiles. Elevated urine IL-18 and urine and plasma NGAL levels associated with longer length of hospital stay, longer intensive care unit stay, and higher risk for dialysis or death. The clinical prediction model for AKI had an area under the receiver-operating characteristic curve (AUC) of 0.69. Urine IL-18 and plasma NGAL significantly improved the AUC to 0.76 and 0.75, respectively. Urine IL-18 and plasma NGAL significantly improved risk prediction over the clinical models alone as measured by net reclassification improvement (NRI) and integrated discrimination improvement (IDI). In conclusion, urine IL-18, urine NGAL, and plasma NGAL associate with subsequent AKI and poor outcomes among adults undergoing cardiac surgery.

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Metadata

Authors
Parikh, C. R., Coca, S. G., Thiessen-Philbrook, H., Shlipak, M. G., Koyner, J. L., Wang, Z., Edelstein, C. L., Devarajan, P., Patel, U. D., Zappitelli, M., Krawczeski, C. D., Passik, C. S., Swaminathan, M., & Garg, A. X.
Venue
Journal of the American Society of Nephrology
Published
2011-09
Volume
22
Issue
9
Pages
1748-1757
ISSN
1046-6673 (ISSN-L)
OpenAlex
W2124770381
Cited by
754
References
6
FWCI
44.07
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery. https://app.cochat.ai/papers/10.1681/asn.2010121302
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Parikh, C. R., Coca, S. G., Thiessen-Philbrook, H., Shlipak, M. G., Koyner, J. L., Wang, Z., Edelstein, C. L., Devarajan, P., Patel, U. D., Zappitelli, M., Krawczeski, C. D., Passik, C. S., Swaminathan, M., & Garg, A. X. (2011). Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2010121302

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.