- Koyner, Jay L;
- Coca, Steven G;
- Thiessen-Philbrook, Heather;
- Patel, Uptal D;
- Shlipak, Michael G;
- Garg, Amit X;
- Parikh, Chirag R;
- Consortium, Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury;
- Raman, Jai;
- Jeevanandam, Valluvan;
- Akhter, Shahab;
- Devarajan, Prasad;
- Bennett, Michael;
- Ma, Qing;
- Griffiths, Rachel;
- Edelstein, Charles;
- Passik, Cary;
- Nagy, Judy;
- Swaminathan, Madhav;
- Chu, Michael;
- Goldbach, Martin;
- Guo, Lin Ruo;
- McKenzie, Neil;
- Myers, Mary Lee;
- Novick, Richard;
- Quantz, Mac;
- Schumann, Virginia;
- Webster, Laura;
- Zappitelli, Michael;
- Palijan, Ana;
- Dewar, Michael;
- Darr, Umer;
- Hashim, Sabet;
- Elefteriades, John;
- Geirsson, Arnar;
- Garwood, Susan;
- Kemp, Rowena;
- Butrymowicz, Isabel
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 > 60mL/min/1.73m(2).Results
180 (42%) patients with preoperative eGFRs≤60mL/min/1.73m(2) developed clinical AKI compared with 246 (31%) of those with eGFRs>60mL/min/1.73m(2) (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≤60mL/min/1.73m(2). 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≤60mL/min/1.73m(2) 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≤60mL/min/1.73m(2).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≤60mL/min/1.73m(2) is not necessary.