Which value does the nurse recognize as the best clinical measure of renal function?

Chest. 2012 Jun; 141(6): 1584–1594.

Abstract

Identifying patients with impaired renal function is crucial in the setting of critical illness. Serum creatinine serves as the gold standard for assessing steady-state renal function, helping to define those with chronic kidney disease (CKD). Although these baseline creatinine values are often not available in the setting of critical illness, CKD, whether defined by serum creatinine or proteinuria, increases the risk of developing acute kidney injury (AKI). Despite delays in elevations following renal insults, serum creatinine remains the standard for assessing acute changes in renal function. Standardized definitions of AKI, using changes in serum creatinine and urine output, have informed the epidemiology of ICU-acquired AKI and have helped define the long-term outcomes in patients who experience AKI. A complex cyclical interplay exists between AKI and CKD, in which CKD predisposes patients to an increased risk of AKI, whereas those with AKI, regardless of baseline renal function, are more likely to suffer from post-AKI CKD. The clarification of the AKI-CKD dynamic remains a work in progress and will be aided by the implementation of novel measures of renal function. Several novel biomarkers of renal function have been proposed to augment serum creatinine in the diagnosis of AKI and CKD. These biomarkers, taken with recent clinical investigations, have laid the groundwork for the impending paradigm shift in risk stratifying and in diagnosing changes in renal function in the ICU.

Physicians and scientists have been measuring creatinine concentrations in the blood for well over a century, and this simple and aged clinical test remains firmly entrenched in modern-day patient care.1 Creatinine has long served as a biomarker of glomerular filtration and, thus, a proxy for renal function. However, physicians are no longer solely reliant on imperfect creatinine as their only method of assessing renal function, because other markers of renal function have been developed and validated. In this review, I outline the current methods for assessing renal function, in both steady state and during acute kidney injury (AKI), and discuss their usefulness in caring for the critically ill.

Steady State: Defining Chronic Kidney Disease

Estimating the glomerular filtration rate (GFR) via serum creatinine allows us to assess the degree of kidney impairment and track the course of chronic kidney disease (CKD). CKD has been defined by the National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKF-K/DOQI) work group as either2

• (1) the presence of markers of kidney damage for ≥ 3 months, as defined by structural or functional abnormalities of the kidney with or without decreased GFR, manifest by either pathologic abnormalities or other markers of kidney damage, including abnormalities in the composition of blood or urine or abnormalities in imaging tests or

• (2) GFR < 60 mL/min/1.73 m2 for ≥ 3 months, with or without other signs of kidney damage as described previously.

The classification of CKD is described in Table 1.

Table 1

— National Kidney Foundation Kidney Disease Outcomes Quality Initiative Definitions of CKD

Despite providing no information on the source of the kidney disease, estimates of GFR remain ubiquitous, with creatinine-based equations being the preferred method. The Cockcroft and Gault and the Modification of Diet in Renal Disease (MDRD) equations are flawed in that they do not accurately estimate renal function in those with normal GFRs, the obese, or older adults (> 70 years).3,4 In 2009, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was developed and is as accurate as the MDRD in those with preexisting CKD (estimated GFR [eGFR] < 60 mL/min) and more accurate in those without CKD (≥ 60 mL/min).5 Compared with other equations, the CKD-EPI equation results in a lower prevalence estimate of CKD and a more accurate risk prediction for adverse patient outcomes.6 As such, we anticipate increased reporting of the CKD-EPI eGFR in the near future. Finally, the US Food and Drug Administration recommends the use of the Cockcroft and Gault equation when looking to estimate GFR for drug dosing; however, recent studies have demonstrated excellent concordance rates with the MDRD equation.7

Proteinuria

Abnormal protein excretion is often present in the setting of CKD, with urine protein being measured semiquantitatively with a dipstick or quantitatively through urine protein to creatinine ratios. Dipsticks are flawed in that they detect protein concentration as a function of urine volume. Urine protein (or urine albumin) to creatinine ratios are the preferred method of quantification but are predicated on the assumption that an individual excretes 1 g of creatinine per day and that creatinine excretion is in steady state. For adults < 50 years of age, creatinine excretion should be 20 to 25 mg/kg of lean body weight for men and 15 to 20 mg/kg for women, with estimates decreasing with age.8 Persistent albumin excretion between 30 and 300 mg/dL is considered to be microalbuminuria (1-2+ on dipstick). Values > 300 mg/dL are considered to be macroalbuminuria (3-4+ on dipstick). There are limited standards for 24-h protein excretion, but values < 150 mg/d are considered normal, whereas values between 150 and 3,500 mg are labeled “subnephrotic,” and values > 3,500 mg are considered to be in the nephrotic range. Individuals with subnephrotic- and nephrotic-range proteinuria will invariably have underlying renal disease, which places them at increased risk of AKI (as discussed following). Because 24-h collections are cumbersome and difficult to carry out in hospitalized patients, 8- or 12-h collections with extrapolation and random (spot) ratios have become an accepted alternative.

Novel Biomarkers of GFR/CKD

Increasingly, investigators have sought novel markers of renal function that will provide an accurate estimation of renal function without the foibles of serum creatinine (variation with muscle mass/age and tubular secretion). Serum cystatin C (SCyC) may be more sensitive than serum creatinine in detecting mild reductions in GFR.9 Additionally, SCyC is associated with cardiovascular disease (CVD) outcomes and patient mortality.10‐12 After a mean of 10 years of follow-up, in nondiabetic subjects (eGFR, 15-60 mL/min), baseline SCyC was strongly associated with both all-cause and CVD mortality. In multivariate-adjusted models, both creatinine and SCyC were associated with increased risks of all-cause mortality (1.27 [95% CI, 1.06-1.49] and 1.41 [95% CI, 1.18 -1.67]), respectively. For CVD mortality, the risks were 1.32 (95% CI, 1.05-1.64) and 1.64 (95% CI, 1.28-2.08), respectively.12

Despite this, the mainstream use of SCyC has been hindered by data demonstrating that SCyC is affected by non-GFR factors, including diabetes, thyroid dysfunction, corticosteroids, sex, and age.13,14 Additionally, the acceptance of SCyC has been limited by the lack of standardized reference material and by the assay drift that impacts interlaboratory extrapolation.15 As such, no single eGFR-SCyC equation has been uniformly validated or accepted.

Several other biomarkers of CKD are under investigation, including urinary neutrophil gelatinase-associated lipocalin (NGAL), cystatin C, and N-acetyl-β-D-glucosaminidase. Many of these candidates function as biomarkers of tubular function and are being studied as biomarkers of AKI (see “Novel Biomarkers of AKI” section).16‐18 Promising preliminary data display the importance of quantifying renal tubular function and reinforce the notion that renal function is more than just glomerular filtration.

CKD as a Risk Factor for AKI

The importance of estimating renal function goes beyond a more precise assessment of GFR. CKD has been increasingly validated as an important risk factor for the development of AKI. In the past, absolute elevations in baseline serum creatinine have been included in AKI-specific risk stratification systems; however, recent systems have used standard CKD definitions.19‐23

In a nested case-controlled study of > 600,000 hospitalized adults, those who developed AKI (n = 1,764), defined as the need for renal replacement therapy (RRT), were more likely to have baseline CKD, compared with those without AKI.24 There was a dose response, with increasing risk of AKI with decreasing eGFR (MDRD), which persisted after controlling for clinical risk (diabetes, sepsis, cardiac surgery, and so forth). Individuals with a baseline GFR of 30 to 45 mL/min were nearly five times as likely to develop AKI compared with those without CKD (GFR > 60 mL/min), whereas those with a baseline of 15 to 29 mL/min were 20 times as likely to be hospitalized with AKI. This International Classification of Diseases, Ninth Revision code-reliant retrospective study has been corroborated by other investigations25,26 and supports the role of baseline GFR as a major risk factor for AKI.

Proteinuria is also recognized increasingly as an important risk factor for the development of AKI.27‐29 In a study of 1,051 subjects undergoing cardiac surgery, heavy proteinuria (2+ to 4+) was associated with a sevenfold-increased risk of postoperative RRT compared with those without proteinuria (OR, 7.29; 95% CI, 3.0-17.7).27 This study did not attempt to quantify the proteinuria beyond the dipstick but demonstrates the importance of AKI risk stratification via proteinuria.

In 11,200 subjects from the Atherosclerosis Risk in Communities (ARIC) study, proteinuria correlated with an increased future risk of AKI. Excluding patients with an eGFR < 15 mL/min, the hazard of developing AKI displayed a stepwise increase according to the albumin to creatinine ratio. Individuals with microalbuminuria (30-299 mg/g) and macroalbuminuria (> 300 mg/g) were 2.2 times (95% CI, 1.6-3.0) and 4.8 times (95% CI, 3.2.-7.2) as likely to be hospitalized for AKI compared with those with a normal albumin to creatinine ratio (< 10 mg/g).30 Similarly, in a cohort of 920,985 Canadian adults who had at least one measurement of serum creatinine and proteinuria over a 5-year period, there was a stepwise increase in the risk of AKI and need for RRT across proteinuria strata.31 Over the median 35-month follow-up, > 6,500 adults were admitted with AKI and 516 (< 0.01%) required RRT. Subjects with normal eGFR (> 60 m/min) and mild proteinuria (dipstick, trace and 1+) were hospitalized with AKI 2.5 times more often than were individuals without proteinuria. These odds increased to 4.4 times (95% CI, 3.7-5.2) in those with similar GFR and ≥ 2+ proteinuria. The adjusted rates of death were higher in participants admitted with AKI, although the rise associated with this injury was attenuated in those with low baseline eGFR and heavy proteinuria. Despite relying on laboratory tests that were drawn up as part of clinical care and administrative codes, these studies still demonstrate that proteinuria is an emerging risk factor for AKI.

Other Risk Factors for AKI

The 2010 United States Renal Data System demonstrated that over the past decade, the incidence of AKI has been increasing and that AKI is associated with older age and black race.32 Several scoring systems have been constructed to reliably forecast AKI and the need for RRT following cardiac surgery.20‐22 Although there are several similarities among these risk-assessment models (baseline renal function, presence of diabetes, and type of surgery), there are also differences. Similarly, in the setting of radiocontrast administration, several risk factors have been shown to increase the risk of AKI, including preexisting CKD, diabetes, congestive heart failure, anemia, hypotension, and contrast-load volume.33 In the setting of the critically ill, AKI-specific risk-stratification systems have been proposed but they remain underused in clinical practice.19,23 Finally, it deserves noting that the avoidance of nephrotoxins (radiocontrast, aminoglycosides, nonsteroidal antiinflammatory drugs, and so forth) is of the utmost importance in vulnerable patient populations.

AKI as a Risk Factor for CKD

CKD is a risk factor for AKI; however, there is a growing body of evidence to support the bidirectionality of this dynamic. Studies of the long-term outcomes of AKI suggest that episodes of AKI, regardless of severity, are associated with adverse CKD-related outcomes.

In a large, community-based, retrospective, matched-cohort analysis (N = 556,090), the impact of AKI requiring RRT was assessed in those with baseline eGFRs > 45 mL/min who did not initially develop end-stage renal disease (ESRD). After controlling for potential confounders, AKI was independently associated with a 28.1-fold increased risk of developing stage IV or V CKD (95% CI, 21.1-37.6) and a 2.3-fold increased risk of death (95% CI, 1.8-30).34

In a population-based cohort study investigating the long-tem risk of an episode of AKI requiring RRT, 3,769 individuals who were RRT independent at the time of discharge, following a hospitalization that required transient RRT, were compared with 13,598 matched control subjects who did not have AKI.35 Over a median follow-up period of 3 years, the incidence of ESRD was 2.63 per 100 person-years in patients with AKI and 0.91 per 100 person-years in control subjects (hazard ratio, 3.23; 95% CI, 2.70-3.86). Surprisingly, there was no difference in mortality, which may have been because of the inability to match a cohort of the 297 sickest patients with AKI, the exclusion of those still dependent on RRT at the time of hospital discharge, and the exclusion of those who died within the first 30 postdischarge days. Regardless, a hospital-limited episode of AKI requiring RRT increases the long-term risk of ESRD.

Increasingly, investigators have sought long-term outcomes of AKI that have not required RRT. Using a multivariable model in a cohort of 233,803 Medicare recipients (7,197 who had AKI), ESRD was found to be associated with the presence of both CKD and AKI. The hazard ratio for developing ESRD was 41.2 (95% CI, 34.6-49.1) for patients who had both CKD and AKI compared with those without kidney disease. Similarly, those with AKI (HR, 13.0; 95% CI, 10.6-16.0) and those with CKD (HR, 8.4; 95% CI, 7.4-9.6) were at increased risk of developing ESRD compared with those without kidney disease.36 In an analysis of 5 years of data from the US Department of Veterans Affairs, subjects without preexisting CKD who were hospitalized with AKI (n = 5,058) and its most severe form, acute tubular necrosis (ATN) (n = 346), were compared with 63,491 subjects who were hospitalized with pneumonia and acute myocardial infarction without AKI. Subjects with AKI and ATN were more likely to develop CKD of any stage compared with control subjects, and their progression to stage IV CKD was similar to that of individuals from a separate cohort with known preexisting CKD.37 These studies cement the role of AKI as a risk factor for the development of CKD.

This recent literature supports the bidirectional relationship of the AKI and CKD, but it also demonstrates that the development of post-AKI CKD is perhaps malleable. Not all subjects with AKI go on to develop CKD, just as not all hospitalized CKD patients develop AKI. Although large numbers of patients with AKI do not return to normal renal function, our ability to forecast who will recover and who will develop CKD and progress to ESRD is limited.38‐43

AKI: Diagnostic Criteria

For decades, clinical investigation into AKI was hampered by the lack of a consensus definition of AKI, with studies using nonstandardized medical coding or arbitrary serum creatinine cutoffs.44 Consensus criteria for AKI have been established through the collaboration of intensivists and nephrologists, and these projects have led to the concomitant shift in nomenclature from acute renal failure to AKI. The Acute Dialysis Quality Initiative (ADQI) created a graded definition of AKI called the RIFLE criteria, where RIFLE stands for risk, injury, failure, loss, and end-stage renal disease (Table 2).45

Table 2

—RIFLE Criteria for AKI

Recognizing the potential limitations of RIFLE, the Acute Kidney Injury Network (AKIN) published their own criteria (Table 3).46 Included in these RIFLE criticisms were the use of eGFR (eg, an individual with severe nonoliguric AKI may have a GFR of < 15 mL/min upon arrival to the ICU but it may take days for him/her to progress through the criteria before getting to “failure”). This critique displays the pitfalls of diagnosing AKI via serum creatinine. The latter two stages of AKIN are similar to RIFLE, whereas AKIN stage 1 accounts for the absolute change in serum creatinine. This departure from RIFLE is based on the evidence that small changes in serum creatinine over discrete time periods (< 48 h) are associated with adverse patient outcomes in a variety of settings of critical illness.39,47,48

Table 3

—AKIN Criteria for AKI

Both of these AKI classification schemas have been shown to be associated with length of ICU and hospital stay, as well as mortality.49‐51 However, the use of AKIN and RIFLE as diagnostic tools remain limited given their reliance on serum creatinine and the absence of effective therapeutic interventions for the treatment of AKI. Creatinine kinetics are such that serum creatinine often does not increase until 24 or 48 h after a renal injury; thus, by the time a patient reaches AKIN stage 1 or RIFLE “risk,” the “window” for a potential therapeutic intervention may be closed (Fig 1). Future iterations of AKI diagnostic schema will include biomarkers of renal tubular injury/AKI (discussed later), which increase within minutes to hours of renal injury, thus obviating the need to rely on creatinine, an imperfect, time-delayed marker of filtration.

AKI timing and changes in creatinine/glomerular filtration. The figure demonstrates the timing among severe renal injury, the drop in glomerular filtration rate, and the time-delayed rise in serum creatinine and other traditional markers of renal function. Several novel biomarker are able to forecast AKI prior to changes in traditional markers (creatinine and urine output). This early diagnosis could potentially provide a window to treat/intervene with RRT or other novel therapeutics and possibly improve outcomes in the setting of AKI. AKI = acute kidney injury; eGFR = estimated glomerular filtration rate; RRT = renal replacement therapy.

Regardless of these limitations, the current diagnostic criteria have informed and advanced the epidemiology of AKI and permit consistent AKI definitions in clinical investigations. Studies that have specifically compared RIFLE and AKIN have demonstrated that neither criteria offer a clear advantage and both remain hindered by the need to establish a “baseline,” which is often impossible in the ICU.52

These criteria have furthered our understanding of the link between AKI and mortality.39 In 71,486 veterans with AKI (22% of a large ICU cohort), after adjusting for severity of illness, the odds of death were 2.2 (95% CI, 2.17-2.3) for AKIN stage 1, 6.1 (95% CI, 5.74-6.44) for stage 2, and 8.6 (95% CI, 8.07-9.15) for stage 3.53 The recent focus on small changes in serum creatinine (AKIN stage 1 or RIFLE “risk”) impacting adverse patient outcomes should not take away from the extremely high mortality rate in patients with AKI requiring RRT.48

In two recent large randomized trials of RRT dose (ATN trial [N = 1,124] and RENAL study [N = 1,465]), the in-hospital mortality rates were 49.6% and 44.3%, respectively.38,41 These data are limited in that RRT is often reserved for the most severely ill patients and that the initiation RRT, which automatically constitutes AKIN stage 3, is highly variable across physicians.

In the setting of CKD, the traditional teaching had always been to initiate RRT when the GFR reached 10-15 mL/min because this is when patients began to experience complications related to abnormal electrolytes, acidosis, uremia, and fluid overload (CKD stage V, Table 1). However, a recent randomized controlled trial demonstrated that the proactive initiation of RRT at higher eGFRs (10-14 mL/min) provided no benefit in terms of long-term mortality or other adverse patient outcomes compared with waiting for a definitive indication at lower GFRs, (5-7 mL/min).54

In the setting of AKI, the established “indications” for RRT (Table 4) are severely limited and are reactive in nature. These criteria aim only to prevent the complications of acute renal dysfunction just prior to the point where they become life threatening. Although some of the indications are objective and readily apparent (ie, hyperkalemia with ECG changes or pulmonary edema requiring maximum ventilatory support), others are subjective and nonspecific (the clinical diagnosis of uremia). Levels of certain serum chemistries (eg, potassium, phosphorus, bicarbonate) are affected by issues not directly related to the severity of AKI, including dietary intake, choice of fluid administration, and medication use; thus, the use of electrolyte concentrations as thresholds for initiation of RRT is not always appropriate.

Table 4

—Five Most Commonly Cited Indications for Acute Initiation of RRT

Trials investigating the timing of RRT initiation have failed to provide definitive clinical answers. Data supporting the early initiation of RRT come from retrospective, observational studies examining the use of RRT in a variety of clinical settings (sepsis, cardiac surgery, and liver failure).55‐58 However, the retrospective nature of these studies, the variable criteria used to define “early” vs “late,” and the diversity of patient populations make it impossible to craft strong, evidence-based recommendations for the early initiation of RRT. Although the early initiation of RRT may be associated with improved survival and outcome, an adequately powered randomized controlled trial to address this question is needed.

Urine output can be measured inexpensively and easily, and is an important and equally weighted portion of AKIN and RIFLE. However, it is also impacted by a variety of clinical factors, including a patient’s intravascular volume status and diuretics. The accuracy of the urine output criteria has not been as widely studied as that of creatinine. In studies that included both creatinine- and urine-output-based definitions, AKI rates were higher with lower overall mortality compared with creatinine-based AKI.49,59 This finding suggests that urine output may overestimate the severity of AKI, compared with creatinine alone. Relative oliguria is often an appropriate clinical response in the setting of hypovolemia, and temporary drops in urine output, which may be overcome with fluid administration or diuretics, may not correlate with eventual rises in serum creatinine.

Although further investigation of the urine output criteria seems needed, the AKIN and RIFLE criteria have reshaped how clinicians and investigators have defined and studied AKI. Despite international acceptance, these schemas remain, on some level, imperfect, given their reliance on serum creatinine and the need for an established baseline value. These schemas will continue to be validated and may some day evolve to include biomarkers of AKI besides serum creatinine and urine output.

Diagnostics of AKI: Traditional and Novel Methods

Urine Microscopy

The development of RIFLE and AKIN has led to a more rigorous examination of the diagnostic capabilities of urine microscopy, with several recent articles investigating the ability of microscopy to reliably detect the presence and severity of AKI.60‐63 Urinary sediment analysis can detect glomerulonephritis (erythrocyte casts), pyelonephritis and acute interstitial nephritis (leukocyte casts), and crystal- and renal-stone-induced disease. Additionally, urinalysis can demonstrate the pathognomonic muddy brown casts and renal tubule epithelial cells in the sediment associated with the most severe form of AKI, ATN. In the critically ill, the most common use of microscopy is to differentiate the featureless sediment of prerenal azotemia from that of ATN. Recently, two distinct scoring systems that rely on counting renal tubule epithelial cells and granular casts for the diagnosis of ATN have been validated in a formal and rigorous evaluation which was long overdue.60,63 Despite strides to formalize and modernize urinalysis, investigations of the interobserver reliability of microscopy demonstrate that nephrologists achieve only slight to moderate agreement and, as such, urine microscopy remains a good but imperfect diagnostic tool for AKI.61

Novel Biomarkers of AKI

The past several years have seen a flurry, nay blizzard, of investigations of novel biomarkers of AKI and several in-depth reviews have been published recently.64,65 Table 5, which is by no means exhaustive, represents a selected summary of the characteristics and the clinical settings in which the top four most widely investigated biomarkers have been studied: NGAL, kidney injury molecule-1, IL-18, and cystatin C. The majority of articles cited in Table 5 are limited in that they are predominantly single-center prospective investigations with low numbers of severe AKI/RRT events. Additionally, there is an inherent bias in this table because negative studies often go unpublished. Finally, Table 5 makes no attempt to quantify the results of these investigations.

Table 5

—Novel Biomarkers of AKI: Clinical Settings of Investigation

It is our opinion that no single biomarker will be able to predict early AKI (prior to changes in serum creatinine) as well as AKI severity and duration in all clinical settings. The pathophysiology of ischemia-reperfusion-AKI is different from that of sepsis-AKI, which is different from radiocontrast nephropathy. As such, each of these clinical entities may be best detected by a different set of biomarkers at different clinical time points.

Increasingly, biomarkers are being investigated for their ability to complement, rather than replace, creatinine. In a pooled prospective study (n = 2,322) that designated subjects as NGAL(+) or NGAL(−) and creatinine(+) or creatinine(−) (AKI was defined as RIFLE “risk”), individuals who were NGAL(+) but creatinine(−) needed more RRT (OR, 16.4; 95% CI, 3.6-76.9; P < .001) compared with those who were NGAL(−) and creatinine(−).98 There was a stepwise increase in ICU stay, hospital stay, and mortality across the four study groups:

NGAL(−)creat (−) < NGAL( + )creat(−) < NGAL(−)creat ( + ) < NGAL( + )creat( + )

This ability to detect adverse patient outcomes in the absence of significant changes in creatinine is a paradigm shift for physicians and will certainly need to be validated in follow-up studies.

There is growing evidence to support the role of biomarkers at the time of AKI, with two separate publications showing that urine NGAL at the time of clinical creatinine increase (AKIN stage 1 or RIFLE “risk”) can predict the severity of AKI (who will progress to AKIN stage 2 or 3 or RIFLE “injury” or “failure”).72,80 If validated, routine measurement of NGAL in those with newly diagnosed AKI may identify those at highest risk of the most adverse patient outcomes and those who would be ideal participants in future interventional trials.

Novel biomarkers are inching closer toward clinical relevance, but there is still much we do not know about their usefulness. Several investigations have recently shown that the ability of a biomarker to detect AKI may be impacted by underlying CKD.73,74,85 Additionally, the impact of medications (diuretics, pressors, angiotensin-converting enzyme inhibitors) and clinical care on biomarker values is unknown. Until these issues are clarified and biomarkers are uniformly validated, we will remain reliant on our current “bronze standard” serum creatinine.

Conclusions

In the setting of critical illness, AKI and CKD are major players in a vicious cycle that leads to adverse patient outcomes (Fig 2). Recent data have confirmed that CKD, defined via serum creatinine or proteinuria, is a primary risk factor for AKI. AKI is associated with increased mortality and can also lead to the transient or permanent need for RRT. Even when not requiring RRT, patients can develop post-AKI CKD, which carries an increased risk of ESRD and death. This complex interplay of AKI and CKD will continue to be defined as nephrologists and intensivists further explore novel methods to assess renal function in the ICU.

This diagram displays the complex dynamic among AKI, CKD, and adverse patient outcomes. AKI and CKD are known to cross-react and augment each other in a vicious cycle that leads to increased need for RRT, either transient or permanent (ESRD), as well as increased mortality. CKD = chronic kidney disease; ESRD = end-stage renal disease. See Figure 1 legend for expansion of other abbreviations.

Acknowledgments

Financial/nonfinancial disclosures: The author has reported to CHEST the following conflicts of interest: Dr Koyner has received money from Abbott Laboratories for patient enrollment for research conducted investigating urine NGAL as a biomarker of acute kidney injury following adult cardiac surgery.

Role of sponsors: The sponsor had no role in the design of the study, the collection and analysis of the data, or in the preparation of the manuscript.

Other contributions: The author expresses gratitude to Jason Poston, MD, University of Chicago, for his invaluable assistance in preparing this manuscript.

Abbreviations

Footnotes

Funding/Support: Dr Koyner is supported by the National Institutes of Health-National Institute of Diabetes and Digestive and Kidney Diseases [Grant K23 DK081616].

Reproduction of this article is prohibited without written permission from the American College of Chest Physicians. See online for more details.

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