TY - JOUR
T1 - Urine biomarkers and perioperative acute kidney injury
T2 - The impact of preoperative estimated GFR
AU - Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury (TRIBE-AKI) Consortium
AU - Koyner, Jay L.
AU - Coca, Steven G.
AU - Thiessen-Philbrook, Heather
AU - Patel, Uptal D.
AU - Shlipak, Michael G.
AU - Garg, Amit X.
AU - Parikh, Chirag R.
AU - Raman, Jai
AU - Jeevanandam, Valluvan
AU - Akhter, Shahab
AU - Devarajan, Prasad
AU - Bennett, Michael
AU - Ma, Qing
AU - Griffiths, Rachel
AU - Edelstein, Charles
AU - Passik, Cary
AU - Nagy, Judy
AU - Swaminathan, Madhav
AU - Chu, Michael
AU - Goldbach, Martin
AU - Guo, Lin Ruo
AU - McKenzie, Neil
AU - Myers, Mary Lee
AU - Novick, Richard
AU - Quantz, Mac
AU - Schumann, Virginia
AU - Webster, Laura
AU - Zappitelli, Michael
AU - Palijan, Ana
AU - Dewar, Michael
AU - Darr, Umer
AU - Hashim, Sabet
AU - Elefteriades, John
AU - Geirsson, Arnar
AU - Garwood, Susan
AU - Kemp, Rowena
AU - Butrymowicz, Isabel
N1 - Funding Information:
Support: This study was supported by the National Institutes of Health (NIH; R01HL085757 to Dr Parikh) to fund the TRIBE-AKI Consortium to study novel biomarkers of AKI in cardiac surgery. Drs Koyner and Coca have been supported by NIH Career Development Awards ( K23DK081616 and K23DK080132 , respectively). Dr Parikh is supported by the NIH ( K24DK090203 ). Drs Coca, Garg, and Parikh are also members of the NIH-sponsored Assess, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury Consortium ( U01DK082185 ). Urine biomarker assays were donated by Abbott Diagnostics (IL-18 and NGAL) and Sekisui Diagnostics LLC (cystatin C, KIM-1, and L-FABP). The granting agencies, Abbott Diagnostics, and Sekisui Diagnostics Inc, did not participate in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. The opinions, results, and conclusions reported in this article are those of the authors and are independent from the funding sources.
Publisher Copyright:
© 2015 National Kidney Foundation, Inc.
PY - 2015/12
Y1 - 2015/12
N2 - Background The interaction between baseline kidney function and the performance of biomarkers of acute kidney injury (AKI) on the development of AKI is unclear. Study Design Post hoc analysis of prospective cohort study. Setting & Participants The 1,219 TRIBE-AKI Consortium adult cardiac surgery cohort participants. Predictor Unadjusted postoperative urinary biomarkers of AKI measured within 6 hours of surgery. Outcome AKI was defined as AKI Network stage 1 (any AKI) or higher, as well as a doubling of serum creatinine level from the preoperative value or the need for post-operative dialysis (severe AKI). Measurements Stratified analyses by preoperative estimated glomerular filtration rate (eGFR) ≤ 60 versus > 60 mL/min/1.73 m Results 180 (42%) patients with preoperative eGFRs ≤ 60 mL/min/1.73 m2 developed clinical AKI compared with 246 (31%) of those with eGFRs > 60 mL/min/1.73 m2 (P < 0.001). For log2-transformed biomarker concentrations, there was a significant interaction between any AKI and baseline eGFR for interleukin 18 (P = 0.007) and borderline significance for liver-type fatty acid binding protein (P = 0.06). For all biomarkers, the adjusted relative risk (RR) point estimates for the risk for any AKI were higher in those with elevated baseline eGFRs compared with those with eGFRs ≤ 60 mL/min/1.73. However, the difference in magnitude of these risks was low (adjusted RRs were 1.04 [95% CI, 0.99-1.09] and 1.11 [95% CI, 1.07-1.15] for those with preoperative eGFRs ≤ 60 mL/min/1.73 m2 and those with higher eGFRs, respectively). Although no biomarker displayed an interaction for baseline eGFR and severe AKI, log2-transformed interleukin 18 and kidney injury molecule 1 had significant adjusted RRs for severe AKI in those with and without baseline eGFRs ≤ 60 mL/min/1.73. Limitations Limited numbers of patients with severe AKI and post-operative dialysis. Conclusions The association between early postoperative AKI urinary biomarkers and AKI is modified by preoperative eGFR. The degree of this modification and its impact on the biomarker-AKI association is small across biomarkers. Our findings suggest that distinct biomarker cutoffs for those with and without a preoperative eGFR ≤ 60 mL/min/1.73 m2 is not necessary.
AB - Background The interaction between baseline kidney function and the performance of biomarkers of acute kidney injury (AKI) on the development of AKI is unclear. Study Design Post hoc analysis of prospective cohort study. Setting & Participants The 1,219 TRIBE-AKI Consortium adult cardiac surgery cohort participants. Predictor Unadjusted postoperative urinary biomarkers of AKI measured within 6 hours of surgery. Outcome AKI was defined as AKI Network stage 1 (any AKI) or higher, as well as a doubling of serum creatinine level from the preoperative value or the need for post-operative dialysis (severe AKI). Measurements Stratified analyses by preoperative estimated glomerular filtration rate (eGFR) ≤ 60 versus > 60 mL/min/1.73 m Results 180 (42%) patients with preoperative eGFRs ≤ 60 mL/min/1.73 m2 developed clinical AKI compared with 246 (31%) of those with eGFRs > 60 mL/min/1.73 m2 (P < 0.001). For log2-transformed biomarker concentrations, there was a significant interaction between any AKI and baseline eGFR for interleukin 18 (P = 0.007) and borderline significance for liver-type fatty acid binding protein (P = 0.06). For all biomarkers, the adjusted relative risk (RR) point estimates for the risk for any AKI were higher in those with elevated baseline eGFRs compared with those with eGFRs ≤ 60 mL/min/1.73. However, the difference in magnitude of these risks was low (adjusted RRs were 1.04 [95% CI, 0.99-1.09] and 1.11 [95% CI, 1.07-1.15] for those with preoperative eGFRs ≤ 60 mL/min/1.73 m2 and those with higher eGFRs, respectively). Although no biomarker displayed an interaction for baseline eGFR and severe AKI, log2-transformed interleukin 18 and kidney injury molecule 1 had significant adjusted RRs for severe AKI in those with and without baseline eGFRs ≤ 60 mL/min/1.73. Limitations Limited numbers of patients with severe AKI and post-operative dialysis. Conclusions The association between early postoperative AKI urinary biomarkers and AKI is modified by preoperative eGFR. The degree of this modification and its impact on the biomarker-AKI association is small across biomarkers. Our findings suggest that distinct biomarker cutoffs for those with and without a preoperative eGFR ≤ 60 mL/min/1.73 m2 is not necessary.
KW - Urine biomarkers
KW - acute kidney injury (AKI)
KW - acute renal failure (ARF)
KW - cardiac surgery
KW - effect modification
KW - estimated glomerular filtration rate (eGFR)
KW - interleukin 18 (IL-18)
KW - liver-type fatty acid binding protein (L-FABP)
KW - perioperative AKI
KW - prognosis
KW - surgical complication
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U2 - 10.1053/j.ajkd.2015.07.027
DO - 10.1053/j.ajkd.2015.07.027
M3 - Article
C2 - 26386737
AN - SCOPUS:84948068659
SN - 0272-6386
VL - 66
SP - 1006
EP - 1014
JO - American Journal of Kidney Diseases
JF - American Journal of Kidney Diseases
IS - 6
ER -