NGAL Superiority to Creatinine in the Diagnosis of Renal Injury in a Pediatric Tertiary Hospital Setting
Main Article Content
Keywords
Acute Kidney Injur, Biomarkers, Neutrophil Gelatinase-Associated Lipocalin, Pediatrics, Serum Creatinine
Abstract
Background: Acute kidney injury (AKI) is related with higher death rates, longer hospital admissions, and an increased chance of developing chronic kidney disease (CKD). Serum creatinine, a conventional biomarker for AKI diagnosis, has limitations since it rises slowly after renal injury and is dependent on muscle mass and hydration state. Neutrophil gelatinase-associated lipocalin (NGAL) has emerged as a promising early biomarker, appearing in urine and plasma within two hours of kidney injury. This study investigates the diagnostic accuracy of NGAL against serum creatinine in diagnosing AKI in pediatric patients. The aim of this study is to assess the sensitivity and specificity of NGAL in diagnosing AKI in pediatric patients compared to serum creatinine. By assessing the reliability of NGAL, the study aims to enhance early detection and management techniques for AKI in children.
Methodology: A cross-sectional analytic study was carried out over a 12-month period at a tertiary hospital's pediatric nephrology department. The study included 200 children aged 1 month to 18 years who had been admitted with symptoms that put them at risk for AKI, such as sepsis, dehydration, and nephrotoxic medication exposure. Blood samples were taken at admission and 24 hours later to determine serum creatinine and NGAL levels. An enzymatic colorimetric technique was used to determine serum creatinine, and an enzyme-linked immunosorbent assay (ELISA) was used to detect NGAL. Data was analyzed with SPSS software, and diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis.
Results: NGAL revealed superior diagnostic accuracy, with an area under the curve (AUC) of 0.94 against 0.72 for creatinine. NGAL demonstrated greater sensitivity (92% vs. 68%) and specificity (88% vs. 62%), especially in infants. The ROC curve demonstrated NGAL's excellent diagnostic performance in all pediatric age groups. Conclusion: This study shows that NGAL is a more reliable early biomarker for AKI in pediatric patients than serum creatinine. Its implementation in clinical practice could lead to early diagnosis and treatments, lowering the risk of severe kidney injury and improving pediatric patient outcomes.
References
2. Wang Z, Jin L, Shen T, Zhan SJSV. The value of urine NAG, NGAL combined with serum Cys-C in early diagnosis of neonatal hyperbilirubinemia-related acute kidney injury. Signa Vitae. 2020;16(2):109–13. doi:10.22514/sv.2020.16.0055
3. Meena J, Mathew G, Kumar J, Chanchlani R. Incidence of Acute Kidney Injury in Hospitalized Children: A Meta-analysis. Pediatrics. 2023;151(2):e2022058823. https://doi.org/10.1542/peds.2022-058823
4. Khosravi N, Seirafianpour F, Mashaiekhi M, Safari S, Khalesi N, Otukesh H, et al. Importance of urinary NGAL relative to serum creatinine level for predicting acute neonatal kidney injury. Iran J Neonatol. 2020;11(4):21–4. https://doi.org/10.22038/ijn.2020.43344.1719
5. Ali WH, Ahmed HH, Hasanin HM, Kamel LH, Ahmed WO. Value of urinary neutrophil gelatinase-associated lipocalin (NGAL) in predicting acute kidney injury in neonates with perinatal asphyxia. Curr Pediatr Res. 2021;25(9):919–28.
6. Kapalavai SK, Ramachandran B, Krupanandan R, Sadasivam K. Usefulness of urinary neutrophil gelatinase-associated lipocalin as a predictor of acute kidney injury in critically ill children. Indian J Crit Care Med. 2022;26(5):634–8. https://doi.org/10.5005/jp-journals-10071-24147
7. Slagle CL, Goldstein SL, Gavigan HW, Rowe JA, Krallman KA, Kaplan HC, et al. Association between elevated urine neutrophil gelatinase-associated lipocalin and postoperative acute kidney injury in neonates. J Pediatr. 2021;238:193–201.e2. doi:10.1016/j.jpeds.2021.07.041
8. Zou Z, Chen B, Tang F, Li X, Xiao D. Predictive value of neutrophil gelatinase-associated lipocalin in children with acute kidney injury: A systematic review and meta-analysis. Front Pediatr. 2023;11:1147033. https://doi.org/10.3389/fped.2023.1147033
9. Budi NS, Utariani A, Hanindito E, Semedi BP, Asmaningsih N. The validity of urinary neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker of acute kidney injury in pediatric patients with sepsis. Crit Care Shock. 2021;24(2):93–103.
10. Lamb M. An examination of body esteem and health outcomes in community samples of youth and youth in pediatric weight management [Internet]. 2021. Available from: https://doi.org/10.22215/etd/2021-14530
11. Böhme K, Klingelhöfer D, Groneberg DA, Bendels MHK. Gender disparities in pediatric research: a descriptive bibliometric study on scientific authorships. Pediatr Res. 2022;92(1):80–90. https://doi.org/10.1038/s41390-022-02010-1
12. Brennan KG, Parravicini E, Lorenz JM, Bateman DA. Patterns of urinary neutrophil gelatinase-associated lipocalin and acute kidney injury in neonates receiving cardiopulmonary bypass. Children (Basel). 2020;7(9):132. doi:10.3390/children7090132
13. Duffy C, Graetz DE, Lopez AMZ, Carrillo AK, Job G, Chen Y, et al. Retrospective analysis of outcomes for pediatric acute lymphoblastic leukemia in South American centers. Front Oncol. 2023;13:1254233. https://doi.org/10.3389/fonc.2023.1254233
14. Gomes BC, Silva Júnior JM, Tuon FF. Evaluation of urinary NGAL as a diagnostic tool for acute kidney injury in critically ill patients with infection: an original study. Can J Kidney Health Dis. 2020;7:2054358120934215. https://doi.org/10.1177/2054358120934215
15. Pickkers P, Darmon M, Hoste E, Joannidis M, Legrand M, Ostermann M, et al. Acute kidney injury in the critically ill: an updated review on pathophysiology and management. Intensive Care Med. 2021;47(8):835–50. https://doi.org/10.1007/s00134-021-06454-7
16. McMahon KR, Chui H, Rassekh SR, Schultz KR, Blydt-Hansen TD, Mammen C, et al. Urine neutrophil gelatinase-associated lipocalin and kidney injury molecule-1 to detect pediatric cisplatin-associated acute kidney injury. Kidney360. 2022;3(1):37–50. https://doi.org/10.34067/KID.0004802021
17. Galić S, Milošević D, Filipović-Grčić B, Rogić D, Vogrinc Ž, Ivančan V, et al. Early biochemical markers in the assessment of acute kidney injury in children after cardiac surgery. Ther Apher Dial. 2022;26(3):583–93. https://doi.org/10.1111/1744-9987.13736
18. Zhang Y, Zhang B, Wang D, Shi W, Zheng A. Evaluation of novel biomarkers for early diagnosis of acute kidney injury in asphyxiated full-term newborns: a case-control study. Med Princ Pract. 2020;29(3):285–91. https://doi.org/10.1159/000503555
19. Yoneyama F, Okamura T, Takigiku K, Yasukouchi S. Novel urinary biomarkers for acute kidney injury and prediction of clinical outcomes after pediatric cardiac surgery. Pediatr Cardiol. 2020;41(4):695–702. https://doi.org/10.1007/s00246-019-02280-3
20. Abbas Q, Laghari P, Jurair H, Nafis J, Saeed B, Qazi MF, et al. Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Acute Kidney Injury in Children With Shock: A Prospective Study. Cureus. 2023;15(1):e34407. https://doi.org/10.7759/cureus.34407
21. Odum JD, Wong HR, Stanski NL. A precision medicine approach to biomarker utilization in pediatric sepsis-associated acute kidney injury. Front Pediatr. 2021;9:632248. https://doi.org/10.3389/fped.2021.632248
22. Su H, Yang M, Wan C, Yi LX, Tang F, Zhu HY, et al. Renal histopathological analysis of 26 postmortem findings of patients with COVID-19 in China. Kidney Int [Internet]. 2020 Apr 9;98(1):219–27. Available from: https://doi.org/10.1016/j.kint.2020.04.003
23. Tang Y, Yang X, Shu H, Yu Y, Pan S, Xu J, et al. Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury. Hereditas. 2021;158:13. https://doi.org/10.1186/s41065-021-00176-y
24. Ostermann M, Zarbock A, Goldstein S, et al. Recommendations on acute kidney injury biomarkers from the acute disease quality initiative consensus conference: a consensus statement. JAMA Netw Open. 2020;3:0. https://doi.org/10.1001/jamanetworkopen.2020.19209
25. Van den Eynde J, Schuermans A, Verbakel JY, Gewillig M, Kutty S, Allegaert K, et al. Biomarkers of acute kidney injury after pediatric cardiac surgery: a meta-analysis of diagnostic test accuracy. Eur J Pediatr. 2022;181(5):1909–21. https://doi.org/10.1007/s00431-022-04380-4
26. Tseng PY, Chen YT, Wang CH, Chiu KM, Peng YS, Hsu SP, et al. Prediction of the development of acute kidney injury following cardiac surgery by machine learning. Crit Care. 2020;24(1):478. https://doi.org/10.1186/s13054-020-03179-9