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. Author manuscript; available in PMC: 2018 Feb 25.
Published in final edited form as: Lancet. 2017 Feb 25;389(10071):779–781. doi: 10.1016/S0140-6736(17)30543-3

Acute Kidney Injury: A Problem of Definition

Jonathan Barasch 1, Richard Zager 1, Joseph V Bonventre 1
PMCID: PMC5460771  NIHMSID: NIHMS866662  PMID: 28248160

Acute kidney failure connotes a defect in the excretion of water, salts, and metabolic products including creatinine. Classical Nephrology taught that defective kidney excretion should be described on the basis of etiology and anatomy. We learned to approach the patient with a pathophysiological focus: Was the cause of defective excretion due to extra renal volume deficiency or intrinsic kidney causes, or post-renal causes? If intrinsic damage was found, was the cause primarily related to sepsis, ischemia, drugs/toxins, interstitial or glomerular causes, or a combination of the above? These categories were useful because they provided prospective insights into the clinical course and they suggested appropriate therapeutic interventions. Hence, excretory defects, which can result from a variety of challenges to the kidney, must be understood in their medical context.

In contrast to our medical classifications, a new entity called “Acute Kidney Injury” or “AKI” was defined principally by changes in sCr levels or RIFLE, AKIN, KDIGO “stages”1. Changes in urine output are also part of “AKI” criteria but they are not widely utilized. Unfortunately, the uniform application of sCr “stages”, in lieu of a primary etiologic or anatomic diagnosis, provides (i) inadequate quantitative assessment of excretory dysfunction, and (ii) obfuscates the important distinctions among fundamentally different etiologies that raise sCr and motivate personalized therapy.

Acute changes in sCr cannot quantify the extent of the excretory defect until an indeterminate interval has elapsed. Hence, a patient may have florid tubular damage on presentation, despite still awaiting a meaningful rise in sCr. In fact, it was recently found that a persistent but small increase in sCr has a greater predictive effect on morbidity and mortality than a transient but larger increase, meaning that sCr “stage” must be interpreted according to its duration. In light of both of these observations, sCr can only serve as a retrospective marker2.

These data raise additional concerns about the quantitative accuracy of sCr, because “stage” can be greatly influenced by extracellular fluid volume and by muscle mass, both of which generally reflect the health of the patient3. As an illustration of this, it has been reported that an increase in sCr, associated with hemoconcentration, actually predicts a better outcome during the treatment of heart failure. In this case, increased sCr identifies healthy volume sensitive responses to diuretics, rather than tubular damage4. Additionally, sCr “stage” is confounded by “renal reserve”5; even unilateral obstruction or the donation of one kidney usually does not double sCr6 because the nephron deficit is partially compensated by functional nephrons. Hence, sCr “staging” cannot fully measure the responses of the kidney, a problem encapsulated by the term “subclinical AKI”7.

“AKI stages” not only poorly describe the extent of defective excretory function, but they are often at variance with kidney pathology8,9 and physiology10, for example, failing to provide insight into damage to the secretory and reabsorptive functions of the tubule.

The advent of kidney transcriptomics and urinary proteomics has further highlighted the mismatch between AKI “staging” and the physiological and molecular responses of the kidney. While sCr may be elevated in diverse experimental models and patient care scenarios, kidney genes and proteins demonstrate specificity for the stimulus and its cellular targets. For example, many proteins are found in the urine after kidney ischemia, yet few of these are upregulated by volume depletion, although in both cases sCr may be elevated to an equivalent extent. Instead we and others have found that different genetic signatures are activated by severe volume depletion and by kidney ischemia. This was determined in thousands of patients presenting with a broad range of illnesses11, as well as in animal models12 including large studies in rodents by Star and colleagues13. In sum, new in-situ RNA and protein techniques14 have identified a myriad of genes which provide etiologically-dependent, and anatomically specific15 transcriptomic and proteomic signatures from different segments of the nephron in humans, as well as in model organisms.

The dissociation of kidney transcriptomics and urinary proteomics from sCr is well described, and has caused much consternation. This is likely due to differences in the intrinsic characteristics of sCr (delayed, insensitive, not specific to intra-renal damage) and the genetic response of the kidney (rapid, very sensitive, cell specific)16. As an example, localized kidney damage will generate a rapid highly detectable genomic response, whereas sCr might not increase in response to this regional insult. By contrast, parallel changes in the genomic response and in sCr levels occur when kidney damage is diffuse and severe enough to overcome renal reserve. In addition, sCr may be elevated as a result of extra-kidney diseases such as heart failure, but this may not engender the same genomic response in the kidney as would direct tubular damage. These findings are analogous to the comparison of the highly sensitive troponin assay, the EKG, and the echocardiogram, which dissociate from one another to varying degrees, depending on the severity of myocardial damage.

Many fields of Medicine are attempting to individualize diagnostics and therapeutics, an effort that has been called “Precision Medicine”. We suggest that the re-introduction of etiologic and anatomical diagnoses as criteria in our diagnostic strategies is critical because these characteristics will ultimately guide personalized therapeutic interventions. Subsequently, transcriptomics-proteomics, and filtration markers will add to the diagnostic strategy by identifying different and often sequential phases of the excretory failure. No doubt that each analysis has its own intrinsic kinetics, sensitivity, and specificity, but nonetheless, preliminary attempts to pair kidney transcriptomics and urinary proteomics with changes in sCr, evaluating epithelial cell damage and excretory function at the same time, are capitalizing on the informative differences between sCr and urinary proteins17 These efforts will hopefully rectify the problems of interpreting sCr. In sum, rather than a singular focus on sCr, the coupling of causation (medical context) with sites of injury (anatomic responses) and their specific cellular responses (proteomics and transcriptomics), factoring in the extent of filtration and tubular dysfunction (sCr) are the keys to advance Nephrology to a level of precision necessary to achieve diagnostic and therapeutic innovation.

Acknowledgments

Dr. Barasch is a co-inventor on patents 8592179 and 7977110 and 7776824. Dr. Bonventre is a co-inventor on patents 6664385 and 7696321. Dr. Bonventre declares equity in Medibeacon (developing methods to measure glomerular filtration rate in real time), in Sentien (developing an extracorporeal device to potentially treat acute kidney injury), and in Thrasos (developing BMP/Smad peptides to potentially treat acute kidney injury).

Footnotes

Dr Zager declares no competing interests.

References

  • 1.Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney Int Suppl. 2012;2:1–138. [Google Scholar]
  • 2.Coca SG, King JT, Jr, Rosenthal RA, et al. The duration of postoperative acute kidney injury is an additional parameter predicting long-term survival in diabetic veterans. Kidney Int. 2010;78(9):926–33. doi: 10.1038/ki.2010.259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kimmel PL, Lew SQ, Bosch JP. Nutrition, ageing and GFR: is age-associated decline inevitable? Nephrol Dial Transplant. 1996;11(Suppl 9):85–88. doi: 10.1093/ndt/11.supp9.85. [DOI] [PubMed] [Google Scholar]
  • 4.Brisco MA, Zile MR, Hanberg JS, et al. Relevance of changes in serum creatinine during a heart failure trial of decongestive strategies: insights from the DOSE trial. J Card Fail. 2016;22:753–760. doi: 10.1016/j.cardfail.2016.06.423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sharma A, Mucino MJ, Ronco C. Renal functional reserve and renal recovery after acute kidney injury. Nephron Clin Pract. 2014;127(1-4):94–100. doi: 10.1159/000363721. [DOI] [PubMed] [Google Scholar]
  • 6.Sise ME, Forster C, Singer E, et al. Urine neutrophil gelatinase-associated lipocalin identifies unilateral and bilateral urinary tract obstruction. Nephrol Dial Transplant. 2011;26(12):4132–4135. doi: 10.1093/ndt/gfr569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Haase M, Kellum JA, Ronco C. Subclinical AKI--an emerging syndrome with important consequences. Nat Rev Nephrol. 2012;8(12):735–9. doi: 10.1038/nrneph.2012.197. [DOI] [PubMed] [Google Scholar]
  • 8.Labban B, Arora N, Restaino S, et al. The role of kidney biopsy in heart transplant candidates with kidney disease. Transplantation. 2010;89(7):887–93. doi: 10.1097/TP.0b013e3181cd4abb. [DOI] [PubMed] [Google Scholar]
  • 9.Bergler-Klein J, Pirich C, Laufer G, et al. The long-term effect of simultaneous heart and kidney transplantation on native renal function. Transplantation. 2001;71(11):1597–600. doi: 10.1097/00007890-200106150-00019. [DOI] [PubMed] [Google Scholar]
  • 10.Zager RA. Alterations of intravascular volume: influence on renal susceptibility to ischemic injury. J Lab Clin Med. 1986;108:60–69. [PubMed] [Google Scholar]
  • 11.Nickolas TL, Schmidt-Ott KM, Canetta P, et al. Diagnostic and prognostic stratification in the emergency department using urinary biomarkers of nephron damage: a multicenter prospective cohort study. J Am Coll Cardiol. 2012;59(3):246–55. doi: 10.1016/j.jacc.2011.10.854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Paragas N, Qiu A, Zhang Q, et al. The Ngal reporter mouse detects the response of the kidney to injury in real time. Nature Medicine. 2011;17(2):216–22. doi: 10.1038/nm.2290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Yuen PS, Jo SK, Holly MK, et al. Ischemic and nephrotoxic acute renal failure are distinguished by their broad transcriptomic responses. Physiological Genomics. 2006;25(3):375–386. doi: 10.1152/physiolgenomics.00223.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lee JW1, Chou CL1, Knepper MA. Deep Sequencing in Microdissected Renal Tubules Identifies Nephron Segment-Specific Transcriptomes. J Am Soc Nephrol. 2015;26(11):2669–77. doi: 10.1681/ASN.2014111067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ichimura T, Bonventre JV, Bailly V, Wei H, Hession CA, Cate RL, Sanicola M. Kidney injury molecule-1 (KIM-1), a putative epithelial cell adhesion molecule containing a novel immunoglobulin domain, is up-regulated in renal cells after injury. J Biol Chem. 1998;273(7):4135–42. doi: 10.1074/jbc.273.7.4135. [DOI] [PubMed] [Google Scholar]
  • 16.Waikar SS, Betensky RA, Emerson SC, et al. Imperfect gold standards for biomarker evaluation. Clin Trials. 2013;10(5):696–700. doi: 10.1177/1740774513497540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Murray PT, Mehta RL, Shaw A, et al. ADQI 10 workgroup. Potential use of biomarkers in acute kidney injury: report and summary of recommendations from the 10th Acute DialysisQuality Initiative consensus conference. Kidney Int. 2014;85(3):513–21. doi: 10.1038/ki.2013.374. [DOI] [PMC free article] [PubMed] [Google Scholar]

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