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Screening Series
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Screening for Kidney Diseases: Older Measures versus Novel Biomarkers

Ian Wu and Chirag R. Parikh
CJASN November 2008, 3 (6) 1895-1901; DOI: https://doi.org/10.2215/CJN.02030408
Ian Wu
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Chirag R. Parikh
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Abstract

Biomarkers have been used to screen for kidney disease since creatinine was recognized to be correlated with renal function. The measurement of serum creatinine as a screening test for kidney disease falls short, however, because serum creatinine is not particularly sensitive for the diagnosis of kidney disease. Creatinine reflects renal filtering capacity, which has a lot of reserve and is therefore not sensitive to acute or chronic kidney injury unless the injury is substantial enough to compromise the filtering ability. The sensitivity of serum creatinine is further diminished in certain patient populations that are prone to kidney disease because of the physiology of creatinine. Therefore, researchers are seeking new biomarkers that can aid in the diagnosis of both acute and chronic kidney diseases. The limitations of creatinine in screening for kidney diseases in specific patient populations as well as new potential biomarkers that are actively being researched are discussed in this review.

Screening for kidney disease lends itself well to the principles of screening. First, both acute and chronic kidney diseases are prevalent. Stage 3 or worse chronic kidney disease (CKD) affects approximately 11% of adults over the age of 65 (1). Estimates of the prevalence of acute kidney injury (AKI) vary depending on the definition and the setting, with some degree of renal insufficiency noted in 7.1% of hospital admissions (2) and in 30% of patients admitted to an intensive care unit (3). Second, most patients with kidney disease are asymptomatic, underlining the need for routine screening of all patients who are at risk for developing kidney disease. Third, early detection of kidney diseases changes management. The identification of CKD leading to an earlier referral to nephrology is associated with improved outcomes (4). For acute kidney diseases that have no specific therapy, having an accurate understanding of severity of renal dysfunction leads to proper pharmacologic dosing and offers important prognostic information. More importantly, earlier detection of AKI may facilitate the development of more efficacious therapies.

We use various biomarkers to screen for kidney disease. The most common biomarker we use is serum creatinine; however, creatinine has several limitations as a biomarker for screening of kidney disease. The most predominant limitation is that serum creatinine is nonspecific and delays identification of the disease process in AKI and CKD. Often creatinine does not become elevated until the injury is well established. By relying only on serum creatinine to screen for kidney disease, we may only be seeing the tip of the iceberg of kidney diseases (Figure 1). We may be missing subclinical kidney disease in a substantial number of patients by waiting for their serum creatinine to rise before we take action. Therefore, disease-specific biomarkers are being sought out for screening and for early diagnosis of several kidney disorders (discussed below). The timeline for the development and translational research of these new biomarkers is revealed in Figure 2. A comparison of serum creatinine and a few of the newer biomarkers being used in clinical research is provided in Table 1.

Figure 1.
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Figure 1.

An artistic interpretation of the pitfalls of screening for kidney disease by only using creatinine. Our reliance on serum creatinine may mean that we are only seeing the “tip of the iceberg” in kidney disease, meaning that we are diagnosing kidney disease late and we may be missing cases of subclinical kidney diseases in the outpatient setting (Figure modified from image provided by HowStuffWorks.com).

Figure 2.
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Figure 2.

A look at the development of new biomarkers over time. The approximate date that the biomarker was isolated is compared with the date that the biomarker was used in clinical trials.

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Table 1.

A comparison of the diagnostic accuracy of newer biomarkers with older measuresa

AKI: Novel Biomarkers of Tubular Damage

CKD can be diagnosed by a decrease in GFR, a decrease in creatinine clearance, or an increase in serum creatinine. Acute kidney diseases are mainly diagnosed by an increase in serum creatinine, because GFR assessment is not reliable in acute nonsteady states. Thus, serum creatinine is the most common biomarker used for screening for AKI despite several important limitations. An elevation in serum creatinine is not always sensitive for the detection of AKI, because there could be substantial injury to the kidney that does not affect filtration. This phenomenon can be observed in protocol transplant kidney biopsies, in which a substantial number of patients have evidence of tubular injury without significant changes in their serum creatinine (5). Moreover, even when serum creatinine increase occurs in AKI, a detectable increase does not occur until several days after injury. One study demonstrated that serum creatinine does not increase to diagnostic levels of AKI until 48 to 72 h after an ischemic injury has occurred (6). There are many other factors that decrease the sensitivity of serum creatinine in the detection of AKI. Liver diseases and the low muscle mass seen in older patients are associated with AKI and are known to decrease creatinine production, blunting a rise in creatinine. In addition, increases in the volume of distribution secondary to aggressive volume resuscitation can result in maintenance of a normal serum creatinine despite a markedly decreased GFR (7).

Researchers have recognized the limitations of serum creatinine for screening of AKI and have discovered numerous novel biomarkers that have proven value in the differential diagnosis, early detection, and prognostication of AKI (8). One such marker is neutrophil-gelatinase-associated lipocalin (NGAL), a polypeptide whose production is upregulated in animal models of AKI and whose elevation can be detected in urine and serum (9). Elevated levels of NGAL have enabled detection of AKI within a few hours after cardiac catheterization (10). Plasma NGAL has also been used to predict morbidity and mortality in pediatric patients who undergo cardiac surgery (11). A recent study demonstrated that a single measurement of urinary NGAL in the emergency room could better predict clinical outcomes such as the need for nephrology consultations, intensive care unit admission, dialysis initiation, or mortality than could an elevated serum creatinine (12).

Another biomarker is interleukin (IL)-18 (IL-18), a cytokine that may play a role in the pathogenesis of ischemic acute tubular necrosis (ATN) through the recruiting of neutrophils in response to ischemic injury (13). Elevated levels of IL-18 in the urine have been demonstrated in patients with ATN compared with patients with other renal diseases (14). In the intensive care unit, urinary IL-18 levels have been shown to be elevated 48 h before the diagnosis of AKI using serum creatinine as a marker. It was also shown to be an independent predictor of mortality in critically ill patients (15).

Kidney Injury Molecule-1 (KIM-1) can also serve as a marker. This molecule is upregulated in postischemic injury in the proximal tubule. An elevated level in the urine has been suggestive as a specific biomarker for the diagnosis of ATN (16). An elevated urinary KIM-1 has also been shown to predict graft loss in renal transplant patients independent of other common risk factors such as creatinine clearance, proteinuria, and donor age (17).

Another biomarker is cystatin C, a cysteine protease inhibitor that is produced by all nucleated cells that appears to be less influenced by factors other than GFR (18). Serum cystatin C has been shown to be a more useful detection marker of AKI in hospitalized patients, detecting AKI 1 to 2 d earlier than serum creatinine (19). For the detection of reduced GFR, it has been shown to have a higher sensitivity and higher negative predictive value than serum creatinine, both important characteristics to consider in the evaluation of any screening test (20). One drawback is that compared with the markers of injury discussed above, cystatin C, like serum creatinine, may not be increased in situations in which injury to kidney tissues is not associated with changes in filtration. However, having a more sensitive and specific test for detecting decreased filtration may be more useful than serum creatinine in helping to predict who is vulnerable to AKI after high-risk procedures such as contrast administration.

These novel biomarkers, which may be more sensitive than serum creatinine in the early detection of AKI, are undergoing phase 4 validation in a large cohort of patients in industry- and government-sponsored studies. These new biomarkers may also add specificity above what serum creatinine offers in the diagnosis of renal diseases. An elevated serum creatinine may alert clinicians that AKI is present, but it does not distinguish between the many potential causes of AKI. Some of these new biomarkers have been demonstrated to distinguish between prerenal azotemia, acute tubular necrosis, and other glomerular disorders (14). We hope that the results of these studies will enable U.S. Food and Drug Administration (FDA) approval of these novel biomarkers and make them available for large-scale use.

Acute Renal Dysfunction in Patients with Cirrhosis

Patients with end-stage liver disease (ESLD) are prone to ischemic ATN secondary to hypovolemia from large-volume paracentesis, gastrointestinal bleeding, or infections (21). Diuretics to mobilize ascites may induce prerenal azotemia, and profound hypoalbuminemia and third spacing with splanchnic vasodilatation may lead to intravascular depletion (22). Finally, many patients are prone to developing the hepatorenal syndrome, in which severe renal vasoconstriction leads to a decrease in GFR (23). We use serum creatinine to screen for kidney disease in this patient population, but patients with hepatic disease are particularly prone to having serum creatinine concentrations that do not correlate well with their actual GFR. Creatine, the precursor of creatinine, is synthesized in the liver. Therefore, patients with cirrhosis may have lower total creatinine pools. Patients with cirrhosis, like many chronically ill patients, frequently have low muscle mass and low protein intake. In addition, they are frequently edematous, thus increasing the total distribution of creatinine. Formulas such as the Modification of Diet in Renal Disease equation or Cockcroft-Gault, which are dependent on serum creatinine, are imprecise in estimating GFR in these patients (24). Our reliance on serum creatinine screening for kidney diseases in patients with cirrhosis prevents us from diagnosing patients until very late in their disease course.

The use of serum creatinine as a biomarker in patients with ESLD falls short; thus novel biomarkers are needed for early diagnosis of kidney dysfunction in these patients. It is also important for these biomarkers to be able to differentiate ischemic ATN from hepatorenal syndrome. This distinction is critical, because therapies vary—dialysis support is needed for the former, whereas vasoconstrictors followed by liver transplantation are necessary for the latter. Because our current therapies of hepatorenal syndrome depend on vasoconstrictive therapy to improve renal perfusion (25), one can suspect that an earlier diagnosis may lead to improved outcomes.

Serum cystatin C has been shown to be a more sensitive test for renal dysfunction than serum creatinine in patients with cirrhosis (26). In one study, serum creatinine was blunted by the degree of liver disease, whereas cystatin C appeared to be more sensitive in detecting renal dysfunction (27). A serum creatinine cutoff of 1.3 mg/dl, the cutoff value for an “abnormal” creatinine level in many laboratories, was only 23% sensitive in diagnosing patients with a reduced GFR as measured by inulin clearance, as compared with a sensitivity of 82% when using cystatin, with only an 11% decrease in specificity compared with serum creatinine, which was 100% specific at that level.

Some biomarkers have demonstrated potential in the differential diagnosis of such disorders such as hepatorenal syndrome. Endothelin-1 appears to be elevated in patients with hepatorenal syndrome but not elevated in patients with other types of renal disease (28). It is also likely that the novel biomarkers of AKI such as IL-18, NGAL, or KIM-1 may assist in excluding ATN in patients with cirrhosis and thereby facilitate the diagnosis of hepatorenal syndrome.

Nephrotic Syndrome

Patients with nephrotic syndrome are also at high risk for renal dysfunction. Creatinine clearances and protein excretion are frequently measured by 24-h timed urine collection in this condition. The amount of protein excretion signifies the severity of nephrotic syndrome and creatinine clearance screens for a loss in GFR. However, the creatinine clearance method has another limitation in assessing GFR decrease in patients with nephrotic syndrome, because the tubular secretion of creatinine can increase significantly with heavy protein excretion in urine. Measured creatinine clearance can be almost double compared with true GFR, measured with inulin clearance, in nephrotic patients with low albumin (29). This implies that over 25% of GFR may be lost without a change in serum creatinine or measured creatinine clearance in patients with nephrotic syndrome. Thus, our ability to monitor kidney dysfunction in patients with nephrotic syndrome by using creatinine clearance alone remains limited. This can severely constrain our ability to monitor responses to therapy and to offer prognostic information.

N-acetyl-β-glucosaminidase (NAG) is a lysosomal enzyme whose excretion is known to increase in glomerular disorders (30). It is thought that in patients with nephrotic syndrome, heavy proteinuria may lead to tubule-interstitial damage, which portends a poorer prognosis (31). This tubulo-interstitial damage can be detected by the presence of biomarkers such as NAG. One study demonstrated the utility of measuring levels of NAG in predicting treatment outcomes and response to therapy (32). Through the measurement of NAG and other biomarkers, we may be able to determine which nephrotic patients have tubular damage and would respond to therapy.

Diabetic Nephropathy

Serum creatinine and creatinine clearance are known to be late biomarkers in diabetic nephropathy. The presence of microalbuminuria is known to precede an elevation in serum creatinine by several years (33). The presence of microalbuminuria has proven to be a powerful screening tool and biomarker to detect diabetic patients at risk for diabetic nephropathy (34). Its identification can lead physicians to intervene earlier with therapies such as angiotensin-converting enzyme inhibitors and angiotensin receptor blockers with proven efficacy (35,36). It is now a standard of care to screen annually for the presence of microalbuminuria in all patients with diabetes mellitus (37). However, the onset of microalbuminuria may be considered a late finding in patients with type 2 diabetes, given its strong association with cardiovascular disease and increased risk of mortality (38). This suggests a need to screen patients many years before the onset of microalbuminuria so that interventions can be undertaken to prevent cardiovascular disease. Urine proteomic profiling has enabled researchers to detect potential biomarkers in patients with type 2 diabetes up to 10 yr before the onset of microalbuminuria (39). As new biomarkers are discovered, clinicians will be able to screen for diabetic nephropathy many years earlier than they now can. Earlier diagnosis may make it possible to identify new targets of therapy that may forestall the onset of microalbuminuria and with it, the associated morbidity and mortality.

Polycystic Kidney Disease

It has long been recognized that measurement of serum creatinine or creatinine clearance was a very insensitive tool for diagnosing polycystic kidney disease (PKD). Imaging is currently recommended for screening for the disease in at-risk patients (40). Nonetheless, physicians routinely use serum creatinine, probably because of cost and reimbursement issues, to monitor progression in patients with PKD. The trouble with this approach is that by the time that serum creatinine is elevated, renal volume has already substantially expanded because renal cysts have already destroyed much of the renal parenchyma (41). Our reliance on serum creatinine as an outcome in PKD means that potentially therapeutic agents that are efficacious in inhibiting cyst growth may not show any clinical benefit in clinical studies if creatinine is the only surrogate outcome that is measured and the trials are limited in duration. Magnetic resonance imaging has been shown to be a more sensitive biomarker of disease progression than either serum creatinine or estimated GFR. Magnetic resonance imaging is already being used as a surrogate outcome to increases in creatinine in clinical trials (42,43). It is thought that if we can intervene before the rise in serum creatinine, therapies can have a greater chance of success.

Development of Biomarkers as Screening Tools

A systematic phased approach and multidisciplinary involvement are essential for translating urinary biomarkers into screening tests. We have discussed the five phases of the development process as they would pertain to kidney diseases (44). Phase 5 studies evaluate the effect of the new test on the health of a population as a “screening test.” If biomarkers are used as a screening tool, then it should be shown in randomized controlled trials that application of interventions earlier in the process of AKI is indeed beneficial (45). The common design involves randomizing patients, and for one group, measuring the biomarker and providing the intervention for anyone in the cohort with an elevated level. Patients in the other arm, not tested for the biomarker, receive the standard of care. In an alternate design, all patients have the biomarker measured, and those with elevated levels are randomized to be treated with therapy or provided with the standard of care (46). Clinically important outcomes are the basis for comparing the study arms in both of the scenarios. Cost and compliance outcomes are equally important for evaluation in phase 5. It is also possible, although unlikely, that a randomized trial may not be necessary to adapt the new biomarker test for screening purposes. If the diagnosis is accurate, treatment is convenient and not harmful, and the consequences of the disease in the absence of the treatment are severe, then a trial may not be justified. This might occur in a situation such as that of a high-risk group of patients with AKI requiring dialysis in which the mortality is high and for whom an intervention such as sodium bicarbonate (probably very safe) would be beneficial to patients with elevated biomarkers.

Industry, academia, and the National Institutes of Health (NIH) have a responsibility to pursue development of biomarkers to find their roles as screening tools or as surrogate endpoints in clinical trials. NIH can assist with increasing support for translational research, building clinical research networks, and supporting educational programs. Partnerships between industry and academia are also important: Industry will move toward FDA and other regulatory approvals for the newer tests and then disseminate the tests in the health care system, improving care for individual patients. Thus, academicians would work with NIH to translate discoveries from laboratory to clinical use (developing “diagnostic tests”) and would then collaborate with industry to further translate the tests from validated diagnostic tests to tools for large-scale clinical use.

We foresee a time when newer biomarkers are used as screening tools that will complement the routine measuring of serum creatinine after procedures such as contrast administration or high-risk surgery or at admission into the critical care unit, and that these biomarkers would be used to monitor outpatients at risk for CKD. The use of these biomarkers will enable clinicians to diagnose AKI and CKD at a much earlier stage. Just as clinicians now use multiple cardiac enzymes and electrocardiograms to diagnose an acute myocardial infarction, it may require a bundle of newer biomarkers to improve the sensitivity and specificity of diagnosis of AKI and of underlying CKD. Knowing which patients will develop acute kidney injury 24 to 48 h earlier through the use of biomarkers may help clinicians to effectively triage patients. Those without detectable kidney injury may be able to be sent home safely, whereas others may require preparations to initiate renal replacement therapy based upon substantial injury as detected by the biomarkers. The panel of biomarkers may also aid in the differential diagnosis of various forms of AKI (septic, ischemic, prerenal, nephrotoxic) and provide prognostic information regarding recovery and survival.

Ultimately, our hope is that therapies for AKI that have failed when instituted late in the course secondary to our reliance on serum creatinine for detection—and thus enrollment in clinical studies—may be proven useful when instituted earlier in clinical trials. Thus far, our armamentarium for the treatment of AKI has been severely limited. A search of the ongoing clinical trials (http://clinicaltrials.gov) for the treatment of AKI reveals agents such as minocycline, fenoldopam, ketanserin, N-acetylcysteine, and erythropoietin are among the many agents being studied for the treatment of AKI. Just as the most efficacious interventions for acute myocardial infarction must occur soon after the injury, one can imagine that early intervention may be important for therapies of AKI as well. Reperfusion of dead tissue, whether it is in the heart or the kidney, is far less appealing then reperfusion of ischemic injury. New biomarkers as screening tools may be key to the development of new therapies as the diagnosis of AKI is made at an earlier stage and we have more specific diagnostic tools for AKI to quickly separate patients with volume-responsive or resistant AKI and glomerular or tubular injuries for the purpose of clinical trials.

Conclusions

Screening for kidney disease is necessary, because both acute and chronic kidney diseases adequately fulfill the principles of screening for disease. Kidney disease is prevalent and clinically silent until its late stages, at which point patients may suffer significant irreversible damage or mortality from their kidney disease in the absence of screening and intervention. Serum creatinine is a biomarker that has been used to screen for kidney disease for almost 80 yr (47). By definition, it has a high specificity in the diagnosis of kidney disease because its levels are the basis for our definition of kidney disease, but its sensitivity is clearly lacking in many common clinical scenarios. New biomarkers for the diagnosis of kidney disease appear promising. We hope they can be used in the near future to screen for several kidney diseases. Earlier detection will not only help in the clinical management of patients but also spur new research into therapies for kidney disease.

Disclosures

None.

Acknowledgments

Dr. Parikh is supported by NIH grant (RO1HL-085757).

Footnotes

  • Published online ahead of print. Publication date available at www.cjasn.org.

  • Copyright © 2008 by the American Society of Nephrology

References

  1. ↵
    Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS: Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis41 :1– 12,2003
    OpenUrlCrossRefPubMed
  2. ↵
    Nash K, Hafeez A, Hou S: Hospital-acquired renal insufficiency. Am J Kidney Dis39 :930– 936,2002
    OpenUrlCrossRefPubMed
  3. ↵
    Ostermann M, Chang RW: Acute kidney injury in the intensive care unit according to RIFLE. Crit Care Med35 :1837– 1843; quiz 1852,2007
    OpenUrlCrossRefPubMed
  4. ↵
    Tseng CL, Kern EF, Miller DR, Tiwari A, Maney M, Rajan M, Pogach L: Survival benefit of nephrologic care in patients with diabetes mellitus and chronic kidney disease. Arch Intern Med168 :55– 62,2008
    OpenUrlCrossRefPubMed
  5. ↵
    Gwinner W, Hinzmann K, Erdbruegger U, Scheffner I, Broecker V, Vaske B, Kreipe H, Haller H, Schwarz A, Mengel M: Acute tubular injury in protocol biopsies of renal grafts: Prevalence, associated factors and effect on long-term function. Am J Transplant8 :1684– 1693,2008
    OpenUrlCrossRefPubMed
  6. ↵
    Parikh CR, Mishra J, Thiessen-Philbrook H, Dursun B, Kelly C, Dent C, Devarajan P, Edelstein CL: Urinary IL-18 is an early predictive biomarker of acute kidney injury after cardiac surgery. Kidney Int70 :199– 203,2006
    OpenUrlCrossRefPubMed
  7. ↵
    Bellomo R, Kellum JA, Ronco C: Defining acute renal failure: Physiological principles. Intensive Care Med30 :33– 37,2004
    OpenUrlCrossRefPubMed
  8. ↵
    Coca SG, Yalavarthy R, Concato J, Parikh CR: Biomarkers for the diagnosis and risk stratification of acute kidney injury: A systematic review. Kidney Int73 :1008– 1016,2008
    OpenUrlCrossRefPubMed
  9. ↵
    Mishra J, Ma Q, Prada A, Mitsnefes M, Zahedi K, Yang J, Barasch J, Devarajan P: Identification of neutrophil gelatinase-associated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol14 :2534– 2543,2003
    OpenUrlAbstract/FREE Full Text
  10. ↵
    Bachorzewska-Gajewska H, Malyszko J, Sitniewska E, Malyszko JS, Pawlak K, Mysliwiec M, Lawnicki S, Szmitkowski M, Dobrzycki S: Could neutrophil-gelatinase-associated lipocalin and cystatin C predict the development of contrast-induced nephropathy after percutaneous coronary interventions in patients with stable angina and normal serum creatinine values? Kidney Blood Press Res30 :408– 415,2007
    OpenUrlCrossRefPubMed
  11. ↵
    Dent CL, Ma Q, Dastrala S, Bennett M, Mitsnefes MM, Barasch J, Devarajan P: Plasma neutrophil gelatinase-associated lipocalin predicts acute kidney injury, morbidity and mortality after pediatric cardiac surgery: A prospective uncontrolled cohort study. Crit Care11 :R127 ,2007
    OpenUrlCrossRefPubMed
  12. ↵
    Nickolas TL, O’Rourke MJ, Yang J, Sise ME, Canetta PA, Barasch N, Buchen C, Khan F, Mori K, Giglio J, Devarajan P, Barasch J: Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury. Ann Intern Med148 :810– 819,2008
    OpenUrlCrossRefPubMed
  13. ↵
    Melnikov VY, Ecder T, Fantuzzi G, Siegmund B, Lucia MS, Dinarello CA, Schrier RW, Edelstein CL: Impaired IL-18 processing protects caspase-1-deficient mice from ischemic acute renal failure. J Clin Invest107 :1145– 1152,2001
    OpenUrlCrossRefPubMed
  14. ↵
    Parikh CR, Jani A, Melnikov VY, Faubel S, Edelstein CL: Urinary interleukin-18 is a marker of human acute tubular necrosis. Am J Kidney Dis43 :405– 414,2004
    OpenUrlCrossRefPubMed
  15. ↵
    Parikh CR, Abraham E, Ancukiewicz M, Edelstein CL: Urine IL-18 is an early diagnostic marker for acute kidney injury and predicts mortality in the intensive care unit. J Am Soc Nephrol16 :3046– 3052,2005
    OpenUrlAbstract/FREE Full Text
  16. ↵
    Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV: Kidney Injury Molecule-1 (KIM-1): A novel biomarker for human renal proximal tubule injury. Kidney Int62 :237– 244,2002
    OpenUrlCrossRefPubMed
  17. ↵
    van Timmeren MM, Vaidya VS, van Ree RM, Oterdoom LH, de Vries AP, Gans RO, van Goor H, Stegeman CA, Bonventre JV, Bakker SJ: High urinary excretion of kidney injury molecule-1 is an independent predictor of graft loss in renal transplant recipients. Transplantation84 :1625– 1630,2007
    OpenUrlCrossRefPubMed
  18. ↵
    Coll E, Botey A, Alvarez L, Poch E, Quinto L, Saurina A, Vera M, Piera C, Darnell A: Serum cystatin C as a new marker for noninvasive estimation of glomerular filtration rate and as a marker for early renal impairment. Am J Kidney Dis36 :29– 34,2000
    OpenUrlCrossRefPubMed
  19. ↵
    Herget-Rosenthal S, Marggraf G, Husing J, Goring F, Pietruck F, Janssen O, Philipp T, Kribben A: Early detection of acute renal failure by serum cystatin C. Kidney Int66 :1115– 1122,2004
    OpenUrlCrossRefPubMed
  20. ↵
    Herget-Rosenthal S, Trabold S, Pietruck F, Holtmann M, Philipp T, Kribben A: Cystatin C: Efficacy as screening test for reduced glomerular filtration rate. Am J Nephrol20 :97– 102,2000
    OpenUrlCrossRefPubMed
  21. ↵
    Betrosian AP, Agarwal B, Douzinas EE: Acute renal dysfunction in liver diseases. World J Gastroenterol13 :5552– 5559,2007
    OpenUrlCrossRefPubMed
  22. ↵
    Newell GC: Cirrhotic glomerulonephritis: Incidence, morphology, clinical features, and pathogenesis. Am J Kidney Dis9 :183– 190,1987
    OpenUrlPubMed
  23. ↵
    Salerno F, Gerbes A, Gines P, Wong F, Arroyo V: Diagnosis, prevention and treatment of hepatorenal syndrome in cirrhosis. Gut56 :1310– 1318,2007
    OpenUrlFREE Full Text
  24. ↵
    Gonwa TA, Jennings L, Mai ML, Stark PC, Levey AS, Klintmalm GB: Estimation of glomerular filtration rates before and after orthotopic liver transplantation: Evaluation of current equations. Liver Transpl10 :301– 309,2004
    OpenUrlCrossRefPubMed
  25. ↵
    Esrailian E, Pantangco ER, Kyulo NL, Hu KQ, Runyon BA: Octreotide/Midodrine therapy significantly improves renal function and 30-day survival in patients with type 1 hepatorenal syndrome. Dig Dis Sci52 :742– 748,2007
    OpenUrlCrossRefPubMed
  26. ↵
    Demirtas S, Bozbas A, Akbay A, Yavuz Y, Karaca L: Diagnostic value of serum cystatin C for evaluation of hepatorenal syndrome. Clin Chim Acta311 :81– 89,2001
    OpenUrlCrossRefPubMed
  27. ↵
    Orlando R, Mussap M, Plebani M, Piccoli P, De Martin S, Floreani M, Padrini R, Palatini P: Diagnostic value of plasma cystatin C as a glomerular filtration marker in decompensated liver cirrhosis. Clin Chem48 :850– 858,2002
    OpenUrlAbstract/FREE Full Text
  28. ↵
    Bachmann-Brandt S, Bittner I, Neuhaus P, Frei U, Schindler R: Plasma levels of endothelin-1 in patients with the hepatorenal syndrome after successful liver transplantation. Transpl Int13 :357– 362,2000
    OpenUrlCrossRefPubMed
  29. ↵
    Branten AJ, Vervoort G, Wetzels JF: Serum creatinine is a poor marker of GFR in nephrotic syndrome. Nephrol Dial Transplant20 :707– 711,2005
    OpenUrlCrossRefPubMed
  30. ↵
    Bazzi C, Petrini C, Rizza V, Arrigo G, D’Amico G: A modern approach to selectivity of proteinuria and tubulointerstitial damage in nephrotic syndrome. Kidney Int58 :1732– 1741,2000
    OpenUrlCrossRefPubMed
  31. ↵
    D’Amico G, Ferrario F, Rastaldi MP: Tubulointerstitial damage in glomerular diseases: Its role in the progression of renal damage. Am J Kidney Dis26 :124– 132,1995
    OpenUrlCrossRefPubMed
  32. ↵
    Bazzi C, Petrini C, Rizza V, Arrigo G, Napodano P, Paparella M, D’Amico G: Urinary N-acetyl-beta-glucosaminidase excretion is a marker of tubular cell dysfunction and a predictor of outcome in primary glomerulonephritis. Nephrol Dial Transplant17 :1890– 1896,2002
    OpenUrlCrossRefPubMed
  33. ↵
    Rossing K, Christensen PK, Hovind P, Tarnow L, Rossing P, Parving HH: Progression of nephropathy in type 2 diabetic patients. Kidney Int66 :1596– 1605,2004
    OpenUrlCrossRefPubMed
  34. ↵
    Viberti GC, Hill RD, Jarrett RJ, Argyropoulos A, Mahmud U, Keen H: Microalbuminuria as a predictor of clinical nephropathy in insulin-dependent diabetes mellitus. Lancet1 :1430– 1432,1982
    OpenUrlCrossRefPubMed
  35. ↵
    Randomised placebo-controlled trial of lisinopril in normotensive patients with insulin-dependent diabetes and normoalbuminuria or microalbuminuria. The EUCLID Study Group. Lancet349 :1787– 1792,1997
    OpenUrlCrossRefPubMed
  36. ↵
    Barnett AH, Bain SC, Bouter P, Karlberg B, Madsbad S, Jervell J, Mustonen J, Diabetics Exposed to Telmisartan and Enalapril Study Group: Angiotensin-receptor blockade versus converting-enzyme inhibition in type 2 diabetes and nephropathy. N Engl J Med351 :1952– 1961,2004
    OpenUrlCrossRefPubMed
  37. ↵
    Standards of medical care in diabetes–2007. Diabetes Care30[ Suppl 1]:S4– S41,2007
    OpenUrlFREE Full Text
  38. ↵
    Valmadrid CT, Klein R, Moss SE, Klein BE: The risk of cardiovascular disease mortality associated with microalbuminuria and gross proteinuria in persons with older-onset diabetes mellitus. Arch Intern Med160 :1093– 1100,2000
    OpenUrlCrossRefPubMed
  39. ↵
    Otu HH, Can H, Spentzos D, Nelson RG, Hanson RL, Looker HC, Knowler WC, Monroy M, Libermann TA, Karumanchi SA, Thadhani R: Prediction of diabetic nephropathy using urine proteomic profiling 10 years prior to development of nephropathy. Diabetes Care30 :638– 643,2007
    OpenUrlAbstract/FREE Full Text
  40. ↵
    Pei Y: Diagnostic approach in autosomal dominant polycystic kidney disease. Clin J Am Soc Nephrol1 :1108– 1114,2006
    OpenUrlAbstract/FREE Full Text
  41. ↵
    Grantham JJ, Torres VE, Chapman AB, Guay-Woodford LM, Bae KT, King BF Jr, Wetzel LH, Baumgarten DA, Kenney PJ, Harris PC, Klahr S, Bennett WM, Hirschman GN, Meyers CM, Zhang X, Zhu F, Miller JP, CRISP Investigators: Volume progression in polycystic kidney disease. N Engl J Med354 :2122– 2130,2006
    OpenUrlCrossRefPubMed
  42. ↵
    Serra AL, Kistler AD, Poster D, Struker M, Wuthrich RP, Weishaupt D, Tschirch F: Clinical proof-of-concept trial to assess the therapeutic effect of sirolimus in patients with autosomal dominant polycystic kidney disease: SUISSE ADPKD study. BMC Nephrol8 :13 ,2007
    OpenUrlCrossRefPubMed
  43. ↵
    Wallace DP, Hou YP, Huang ZL, Nivens E, Savinkova L, Yamaguchi T, Bilgen M: Tracking kidney volume in mice with polycystic kidney disease by magnetic resonance imaging. Kidney Int73 :778– 781,2008
    OpenUrlCrossRefPubMed
  44. ↵
    Coca SG, Parikh CR: Urinary biomarkers for acute kidney injury: Perspectives on translation. Clin J Am Soc Nephrol3 :481– 490,2008
    OpenUrlAbstract/FREE Full Text
  45. ↵
    Pepe MS, Etzioni R, Feng Z, Potter JD, Thompson ML, Thornquist M, Winget M, Yasui Y: Phases of biomarker development for early detection of cancer. J Natl Cancer Inst93 :1054– 1061,2001
    OpenUrlCrossRefPubMed
  46. ↵
    Parikh CR, Garg AX: Acute kidney injury: Better biomarkers and beyond. Kidney Int73 :801– 803,2008
    OpenUrlCrossRefPubMed
  47. ↵
    Rehberg PB: Studies on kidney function: The rate of filtration and reabsorption in the human kidney. Biochem J20 :447– 460,1926
    OpenUrlFREE Full Text
  48. ↵
    Liangos O, Perianayagam MC, Vaidya VS, Han WK, Wald R, Tighiouart H, MacKinnon RW, Li L, Balakrishnan VS, Paereira BJ, Bonventre JV, Jaber BL: Urinary N-acetyl-beta-(D)-glucosaminidase activity and kidney injury molecule-1 level are associated with adverse outcomes in acute renal failure. J Am Soc Nephrol18 :904– 912,2007
    OpenUrlAbstract/FREE Full Text
  49. ↵
    Zappitelli M, Washburn KK, Arikan AA, Loftis L, Ma Q, Devarajan P, Parikh CR, Goldstein SL: Urine neutrophil gelatinase-associated lipocalin is an early marker of acute kidney injury in critically ill children: A prospective cohort study. Crit Care11 :R84 ,2007
    OpenUrlCrossRefPubMed
  50. ↵
    Herrero-Morin JD, Malaga S, Fernandez N, Rey C, Dieguez MA, Solis G, Concha A, Medina A: Cystatin C and beta2-microglobulin: Markers of glomerular filtration in critically ill children. Crit Care11 :R59 ,2007
    OpenUrlCrossRefPubMed
  51. ↵
    Hojs R, Bevc S, Ekart R, Gorenjak M, Puklavec L: Serum cystatin C as an endogenous marker of renal function in patients with mild to moderate impairment of kidney function. Nephrol Dial Transplant21 :1855– 1862,2006
    OpenUrlCrossRefPubMed
  52. Butler EA, Flynn FV: The occurrence of post-gamma protein in urine: A new protein abnormality. J Clin Pathol14 :172– 178,1961
    OpenUrlAbstract/FREE Full Text
  53. Fossum K, Whitaker JR: Ficin and papain inhibitor from chicken egg white. Arch Biochem Biophys125 :367– 375,1968
    OpenUrlCrossRefPubMed
  54. Okamura H, Tsutsi H, Komatsu T, Yutsudo M, Hakura A, Tanimoto T, Torkqoe K, Okura T, Nukada Y, Hattori K: Cloning of a new cytokine that induces IFN-gamma production by T cells. Nature378 :88– 91,1995
    OpenUrlCrossRefPubMed
  55. Kjeldsen L, Johnsen AH, Sengelov H, Borregaard N: Isolation and primary structure of NGAL, a novel protein associated with human neutrophil gelatinase. J Biol Chem268 :10425– 10432,1993
    OpenUrlAbstract/FREE Full Text
  56. Grubb A, Simonsen O, Sturfelt G, Truedsson L, Thysell H: Serum concentration of cystatin C, factor D and beta 2-microglobulin as a measure of glomerular filtration rate. Acta Med Scand218 :499– 503,1985
    OpenUrlPubMed
  57. Mishra J, Dent C, Tarabishi R, Mitsnefes MM, Ma Q, Kelly C, Ruff SM, Zahedi K, Shao M, Bean J, Mori K, Barasch J, Devarajan P: Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet365 :1231– 1238,2005
    OpenUrlCrossRefPubMed
  58. Hayman JM, Halsted JA, Seyler LE: A comparison of the creatinine and urea clearance tests of kidney function. J Clin Invest12 :861– 875,1933
    OpenUrlCrossRefPubMed
  59. Miller BF, Winkler AW: The renal excretion of endogenous creatinine in man. Comparison with exogenous creatinine and inulin. J Clin Invest17 :31– 40,1938
    OpenUrlCrossRefPubMed
  60. Cockcroft DW, Gault MH: Prediction of creatinine clearance from serum creatinine. Nephron16 :31– 41,1976
    OpenUrlCrossRefPubMed
  61. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D: A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med130 :461– 470,1999
    OpenUrlCrossRefPubMed
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Clinical Journal of the American Society of Nephrology
Vol. 3, Issue 6
November 2008
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Screening for Kidney Diseases: Older Measures versus Novel Biomarkers
Ian Wu, Chirag R. Parikh
CJASN Nov 2008, 3 (6) 1895-1901; DOI: 10.2215/CJN.02030408

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Screening for Kidney Diseases: Older Measures versus Novel Biomarkers
Ian Wu, Chirag R. Parikh
CJASN Nov 2008, 3 (6) 1895-1901; DOI: 10.2215/CJN.02030408
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  • Article
    • Abstract
    • AKI: Novel Biomarkers of Tubular Damage
    • Acute Renal Dysfunction in Patients with Cirrhosis
    • Nephrotic Syndrome
    • Diabetic Nephropathy
    • Polycystic Kidney Disease
    • Development of Biomarkers as Screening Tools
    • Conclusions
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    • Acknowledgments
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More in this TOC Section

  • Screening for CKD in Children: A Global Controversy
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  • Analysis of a Urinary Biomarker Panel for Incident Kidney Disease and Clinical Outcomes
  • Clinical Utility of Creatinine- and Cystatin C-Based Definition of Renal Function for Risk Prediction of Primary Cardiovascular Events in Patients With Diabetes
  • Imperfect Gold Standards for Kidney Injury Biomarker Evaluation
  • Hsp72 is an early and sensitive biomarker to detect acute kidney injury
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