Ann Lab Med.  2017 Sep;37(5):388-397. 10.3343/alm.2017.37.5.388.

Proenkephalin, Neutrophil Gelatinase-Associated Lipocalin, and Estimated Glomerular Filtration Rates in Patients With Sepsis

Affiliations
  • 1Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea. dearmina@hanmail.net
  • 2School of Public Health, Seoul National University, Seoul, Korea.
  • 3Department of Medical-Surgery Sciences and Translational Medicine, School of Medicine and Psychology, ‘Sapienza' University, Sant'Andrea Hospital, Rome, Italy. salvatore.disomma@uniroma1.it
  • 4Department of Clinical Molecular Medicine, School of Medicine and Psychology, ‘Sapienza' University, Sant'Andrea Hospital, Rome, Italy.
  • 5Sphingotec GmbH, Hennigsdorf, Germany.

Abstract

BACKGROUND
Proenkephalin (PENK) has been suggested as a novel biomarker for kidney function. We investigated the diagnostic and prognostic utility of plasma PENK in comparison with neutrophil gelatinase-associated lipocalin (NGAL) and estimated glomerular filtration rates (eGFR) in septic patients.
METHODS
A total of 167 septic patients were enrolled: 99 with sepsis, 37 with septic shock, and 31 with suspected sepsis. PENK and NGAL concentrations were measured and GFR was estimated by using the isotope dilution mass spectrometry traceable-Modification of Diet in Renal Disease (MDRD) Study and three Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations: CKD-EPI(Cr), CDK-EPI(CysC), and CKD-EPI(Cr-CysC). The PENK, NGAL, and eGFR results were compared according to sepsis severity, presence or absence of acute kidney injury (AKI), and clinical outcomes.
RESULTS
The PENK, NGAL, and eGFR results were significantly associated with sepsis severity and differed significantly between patients with and without AKI only in the sepsis group (all P<0.05). PENK was superior to NGAL in predicting AKI (P=0.022) and renal replacement therapy (RRT) (P=0.0085). Regardless of the variable GFR category by the different eGFR equations, PENK showed constant and significant associations with all eGFR equations. Unlike NGAL, PENK was not influenced by inflammation and predicted the 30-day mortality.
CONCLUSIONS
PENK is a highly sensitive and objective biomarker of AKI and RRT and is useful for prognosis prediction in septic patients. With its diagnostic robustness and predictive power for survival, PENK constitutes a promising biomarker in critical care settings including sepsis.

Keyword

Proenkephalin; Neutrophil gelatinase-associated lipocalin; Glomerular filtration rate; Sepsis; Acute kidney injury

MeSH Terms

Acute Kidney Injury
Cooperative Behavior
Critical Care
Diet
Epidemiology
Glomerular Filtration Rate*
Humans
Inflammation
Kidney
Lipocalins*
Mass Spectrometry
Mortality
Neutrophils*
Plasma
Prognosis
Renal Insufficiency, Chronic
Renal Replacement Therapy
Sepsis*
Shock, Septic
Lipocalins

Figure

  • Fig. 1 Comparison of the receiver operating characteristics curves for the diagnosis of AKI in septic patients. PENK and the four eGFR equations showed fair discriminatory ability, but NGAL showed poor discriminatory ability. However, PENK, NGAL, and the four eGFR equations were all comparable and showed no statistical difference.Abbreviations: see Table 1.

  • Fig. 2 Distribution and agreement of glomerular filtration rate (GFR) categories by each eGFR equation. The distribution of GFR categories varied across each eGFR equation. The proportion of reduced GFR (<60 mL/min/1.73 m2) was the highest based on the CKD-EPICysC equation and the lowest based on the CKD-EPICr equation (58.7% vs 44.9%, P<0.0001, Chi-square test). All eGFR equations showed minimal to weak agreement with each other (Kappa value, 0.310–0.541). Abbreviations: see Table 1.

  • Fig. 3 Comparison of PENK and NGAL concentrations according to GFR category. The distribution of PENK and NGAL concentrations differed significantly according to eGFR by each eGFR equation (all P<0.000001, Kruskal-Wallis test). (A) The median PENK concentration was below the 154.5 pmol/L cut-off obtained by the ROC curve analysis and was also lower than or similar to the 99th percentile of the normal range (80 pmol/L) in the normal GFR categories (≥60 mL/min/1.73 m2). (B) The median concentration of NGAL was below the 493 ng/mL cut-off that was obtained by the ROC curve analysis; however, it was higher than the literature- and manufacturer-recommended 150 ng/mL cut-off in the normal GFR categories. Data are expressed as median (interquartile range). Abbreviations: see Table 1.


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Reference

1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016; 315:801–810. PMID: 26903338.
2. Lameire NH, Bagga A, Cruz D, De Maeseneer J, Endre Z, Kellum JA, et al. Acute kidney injury: an increasing global concern. Lancet. 2013; 382:170–179. PMID: 23727171.
3. Rewa O, Bagshaw SM. Acute kidney injury-epidemiology, outcomes and economics. Nat Rev Nephrol. 2014; 10:193–207. PMID: 24445744.
4. Honore PM, Jacobs R, Hendrickx I, Bagshaw SM, Joannes-Boyau O, Boer W, et al. Prevention and treatment of sepsis-induced acute kidney injury: an update. Ann Intensive Care. 2015; 5:51–60.
5. Alobaidi R, Basu RK, Goldstein SL, Bagshaw SM. Sepsis-associated acute kidney injury. Semin Nephrol. 2015; 35:2–11. PMID: 25795495.
6. Ichai C, Vinsonneau C, Souweine B, Armando F, Canet E, Clec'h C, et al. Acute kidney injury in the perioperative period and in intensive care units (excluding renal replacement therapies). Ann Intensive Care. 2016; 6:48. PMID: 27230984.
7. Ronco C, Legrand M, Goldstein SL, Hur M, Tran N, Howell EC, et al. Neutrophil gelatinase-associated lipocalin: ready for routine clinical use? An international perspective. Blood Purif. 2014; 37:271–285. PMID: 25012891.
8. Zhang A, Cai Y, Wang PF, Qu JN, Luo ZC, Chen XD, et al. Diagnosis and prognosis of neutrophil gelatinase-associated lipocalin for acute kidney injury with sepsis: a systematic review and meta-analysis. Crit Care. 2016; 20:41. PMID: 26880194.
9. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. Modification of Diet in Renal Disease Study Group. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med. 1999; 130:461–470. PMID: 10075613.
10. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009; 150:604–612. PMID: 19414839.
11. Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012; 367:20–29. PMID: 22762315.
12. Hoste EA, Damen J, Vanholder RC, Lameire NH, Delanghe JR, Van den, et al. Assessment of renal function in recently admitted critically ill patients with normal serum creatinine. Nephrol Dial Transplant. 2005; 20:747–753. PMID: 15701668.
13. Shah KS, Taub P, Patel M, Rehfeldt M, Struck J, Clopton P, et al. Proenkephalin predicts acute kidney injury in cardiac surgery patients. Clin Nephrol. 2015; 83:29–35. PMID: 25512100.
14. Marino R, Struck J, Hartmann O, Maisel AS, Rehfeldt M, Magrini L, et al. Diagnostic and short-term prognostic utility of plasma pro-enkephalin (pro-ENK) for acute kidney injury in patients admitted with sepsis in the emergency department. J Nephrol. 2015; 28:717–724. PMID: 25486879.
15. Schulz CA, Christensson A, Ericson U, Almgren P, Hindy G, Nilsson PM, et al. High level of fasting plasma proenkephalin-A predicts deterioration of kidney function and incidence of CKD. J Am Soc Nephrol. 2017; 28:291–303. PMID: 27401687.
16. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et al. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012. Crit Care Med. 2013; 41:580–637. PMID: 23353941.
17. The Kidney Disease Improving Global Outcomes (KDIGO) Working Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012; 2:1–138.
18. Persson M, Berglund G, Nelson JJ, Hedblad B. Lp-PLA2 activity and mass are associated with increased incidence of ischemic stroke: a population-based cohort study from Malmö, Sweden. Atherosclerosis. 2008; 200:191–198. PMID: 18201705.
19. Kidney Disease Improving Global Outcomes Chronic Kidney Disease Guideline Development Work Group Members. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013; 3:1–150.
20. Muller MP, Tomlinson G, Marrie TJ, Tang P, McGeer A, Low DE, et al. Can routine laboratory tests discriminate between severe acute respiratory syndrome and other causes of community-acquired pneumonia? Clin Infect Dis. 2005; 40:1079–1086. PMID: 15791504.
21. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012; 22:276–282. PMID: 23092060.
22. Zhu Y, Ye X, Zhu B, Pei X, Wei L, Wu J, et al. Comparisons between the 2012 new CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equations and other four approved equations. PLoS One. 2014; 9:e84688. PMID: 24454737.
23. Ronco C. Acute kidney injury: from clinical to molecular diagnosis. Crit Care. 2016; 20:201. PMID: 27384344.
24. Romanovsky A, Morgan C, Bagshaw SM. Pathophysiology and management of septic acute kidney injury. Pediatr Nephrol. 2014; 29:1–12. PMID: 23400860.
25. Schrier RW, Wang W. Acute renal failure and sepsis. N Engl J Med. 2004; 351:159–169. PMID: 15247356.
26. Gomez H, Ince C, De Backer D, Pickkers P, Payen D, Hotchkiss J, et al. A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaption to injury. Shock. 2014; 41:3–11.
27. Arbit B, Marston N, Shah K, Lee EL, Aramin H, Clopton P, et al. Prognostic usefulness of proenkephalin in stable ambulatory patients with heart failure. Am J Cardiol. 2016; 117:1310–1314. PMID: 26916537.
28. Ng LL, Sandhu JK, Narayan H, Quinn PA, Squire IB, Davies JE, et al. Proenkephalin and prognosis after acute myocardial infarction. J Am Coll Cardiol. 2014; 63:280–289. PMID: 24140658.
29. Murray PT, Mehta RL, Shaw A, Ronco C, Endre Z, Kellum JA, et al. Potential use of biomarkers in acute kidney injury: report and summary of recommendations from the 10th Acute Dialysis Quality Initiative consensus conference. Kidney Int. 2014; 85:513–521. PMID: 24107851.
30. Otto GP, Hurtado-Oliveros J, Chung HY, Knoll K, Neumann T, Müller HJ, et al. Plasma neutrophil gelatinase-associated lipocalin is primarily related to inflammation during sepsis: a translational approach. PLoS One. 2015; 10:e0124429. PMID: 25893429.
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