Acute kidney injury (AKI) is common after cardiac surgery and impacts short and long-term mortality. The parent grant, RO1 (HL-085757), focused on developing novel tools for assessment of structural kidney damage and comparing new tests to the traditional measurement of serum creatinine, which is a measure of kidney filtration. We created the Translational Research Investigating Biomarker Endpoints (TRIBE) consortium and fulfilled the goals of all of the specific aims of the grant and reported results on several novel urine and plasma biomarkers of kidney injury, such as urine IL-18, urine and plasma NGAL, urine albumin, plasma BNP, and plasma cystatin C. We prospectively enrolled over 2000 adults and children undergoing cardiac surgery at 9 centers and developed a robust sample biorepository linked to clinical variables. In this competitive renewal, we will enrich our cohort y gathering information on long-term outcomes in adult and pediatric patients through continued phone calls, in-person visits, and linkages of the TRIBE cohort to national administrative databases. We will also perform measures of three promising urine biomarkers (KIM- 1, L-FABP and urine cystatin C) and two plasma biomarkers (CK-MB, high sensitivity troponin-T) on the samples stored in our biorepository. With a total of 11 measured biomarkers (from the parent and renewal grants), we will create multi-marker panels for predicting AKI and other outcomes using emerging and innovative statistical methods. We hypothesize that the pre-operative and post-operative biomarkers will not only predict AKI, but also will predict longer-term complications years later, such as chronic kidney disease, end-stage renal disease, and death. Additionally, we hypothesize those patients with high biomarker levels, but no evidence of clinical AKI (subclinical AKI);will also have poor long-term outcomes. The availability of reliabl clinical models for these short and long-term outcomes will assist with informed decision making, adequate planning for surgeons, post-discharge management, and inform future clinical trials. Our primary research aims are:
Aim 1 : To ascertain long-term outcomes associated with AKI after cardiac surgery in adults and children.
Aim 2 : To construct a multi-marker biomarker panel to improve risk prediction of outcomes in adults and children.

Public Health Relevance

Acute Kidney Injury (AKI), is common complication in adults and children undergoing cardiac surgery. AKI has enormous impact on morbidity, mortality and resource utilization. In this proposal, we evaluate novel urinary biomarkers and their relationship to mortality, decline in kidney function and clinical outcomes. We plan to develop a novel panel of biomarkers to predict AKI and its sequelae;a potential method for the early detection of kidney injury and ultimately the development of therapies to reduce the burden of AKI.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL085757-08
Application #
8644850
Study Section
Special Emphasis Panel (ZRG1-DKUS-A (05))
Program Officer
Miller, Marissa A
Project Start
2007-05-01
Project End
2016-03-31
Budget Start
2014-04-01
Budget End
2015-03-31
Support Year
8
Fiscal Year
2014
Total Cost
$725,850
Indirect Cost
$207,962
Name
Yale University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Coca, Steven G (2018) ""Scanning"" into the Future: The Promise of SOMAScan Technology for Kidney Disease. Kidney Int Rep 3:1020-1022
Greenberg, Jason H; Kakajiwala, Aadil; Parikh, Chirag R et al. (2018) Emerging biomarkers of chronic kidney disease in children. Pediatr Nephrol 33:925-933
Greenberg, Jason H; Zappitelli, Michael; Jia, Yaqi et al. (2018) Biomarkers of AKI Progression after Pediatric Cardiac Surgery. J Am Soc Nephrol 29:1549-1556
Meisner, Allison; Kerr, Kathleen F; Thiessen-Philbrook, Heather et al. (2018) Development of biomarker combinations for postoperative acute kidney injury via Bayesian model selection in a multicenter cohort study. Biomark Res 6:3
Wilson, F Perry; Parikh, Chirag R (2018) Translational Methods in Nephrology: Individual Treatment Effect Modeling. J Am Soc Nephrol 29:2615-2618
Hall, Isaac E; Akalin, Enver; Bromberg, Jonathan S et al. (2018) Deceased-donor acute kidney injury is not associated with kidney allograft failure. Kidney Int :
Greenberg, Jason H; Devarajan, Prasad; Thiessen-Philbrook, Heather R et al. (2018) Kidney injury biomarkers 5 years after AKI due to pediatric cardiac surgery. Pediatr Nephrol 33:1069-1077
Moledina, Dennis G; Parikh, Chirag R (2018) Phenotyping of Acute Kidney Injury: Beyond Serum Creatinine. Semin Nephrol 38:3-11
Moledina, Dennis G; Hall, Isaac E; Thiessen-Philbrook, Heather et al. (2017) Performance of Serum Creatinine and Kidney Injury Biomarkers for Diagnosing Histologic Acute Tubular Injury. Am J Kidney Dis 70:807-816
Corona-Villalobos, Celia P; Shlipak, Michael G; Tin, Adrienne et al. (2017) Predictors of Acute Renal Injury Study (PARIS) among HIV-positive individuals: design and methods. BMC Nephrol 18:289

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