Accuracy of Urine Calprotectin in the Diagnosis of Acute Kidney Injury in Neonates: A Cross-Sectional Study
| Autor: | Nasrin Khalesi, Shima Mohammadian, Nakysa Hooman, Mahmoud Khodadost, Leila Allahqoli |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Iranian Journal of Neonatology, Vol 12, Iss 4, Pp 8-14 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2251-7510 2322-2158 |
| DOI: | 10.22038/ijn.2021.53102.1962 |
| Popis: | Background: Urine calprotectin significantly elevates in acute kidney injury (AKI) in adult and pediatric patients. The present study aimed to assess the accuracy of urine calprotectin as a diagnostic marker for (AKI) in neonates.Methods: This cross-sectional study assessed urine calprotectin in 100 neonates (80 newborns with confirmed AKI and 20 healthy ones). Random urine calprotectin was measured by Enzyme-linked Immunosorbent Assay (ELISA) and then compared between the two groups. We included the neonates who had received at least 48 h of intravenous fluid and met the inclusion and exclusion criteria. Receiver-operating characteristic (ROC) curve was used to set a cut-off point for urine calprotectin for the prediction of AKI. The overall accuracy and Kappa coefficient were used to assess the agreement between the two methods. A p-value less than 0.05 was considered statistically significant. Results: Urine calprotectin levels were not significantly higher in neonates with AKI, as compared to those in the healthy ones (146.2 versus 142.4; P=0.1). The results pointed to an optimal cut-off value of 123.5 mg/dl for urine calprotectin with the area under the curve of 0.515 (the sensitivity, specificity, positive predictive value, and negative predictive value were obtained at 77.5%, 40%, 83.7%, and 30.7%, respectively). The overall accuracy and Kappa agreement coefficient were reported as 70% and 0.15, r (P=0.11). Conclusion: As evidenced by the results of the resent study, although urine calprotectin level elevates in AKI in neonates, it is not more sensitive than gold standards to predict AKI. |
| Databáze: | Directory of Open Access Journals |
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