Literature DB >> 33021763

Can urinary biomarkers predict acute kidney injury in newborns with critical congenital heart disease?

Özgün Uygur1, Özge Altun Köroğlu1, Reşit Ertürk Levent1, Eser Sözmen2, Firat Ergin1, Yüksel Atay3, Mehmet Yalaz1, Mete Akisü1, Nilgün Kültürsay1.   

Abstract

Background/aim: Congenital heart disease (CHD) is the most common congenital malformation group and is the leading cause of newborn mortality in developed countries. Most of the infants with CHD develop preoperative or postoperative acute kidney injury (AKI). Acute kidney injury may develop before the serum creatinine rise and oliguria. Urinary biomarkers such as kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), interleukin (IL)-18, and cystatin C may predict AKI in patients with critical CHD (CCHD) before the serum creatinine rise. In this study, we aimed to determine the AKI incidence among newborn patients with CCHD and investigate the predictivity of urinary biomarkers for AKI. Materials and methods: Newborns with a gestational age >34 weeks and birth weight >1500 g with a diagnosis of CCHD were enrolled in the study. Blood and urine samples were collected at birth, during the first 24–48 h, and in the preoperative and postoperative periods.
Results: A total of 53 CCHD patients requiring surgery during the neonatal period were enrolled in the study. The 24–48 h KIM-1 levels of the cases with exitus were higher (P = 0.007). The 24–48 h cystatin C and preoperative NGAL levels were higher in patients with postoperative AKI (P = 0.02).
Conclusion: In newborns with CCHD, high KIM-1 levels may predict mortality, whereas high cystatin C and preoperative NGAL levels may be indicative of AKI. These biomarkers deserve further investigation in larger study populations. This work is licensed under a Creative Commons Attribution 4.0 International License.

Entities:  

Keywords:  Acute kidney injury; cardiovascular surgery; critical congenital heart disease; newborn; urinary biomarker

Year:  2021        PMID: 33021763      PMCID: PMC7991857          DOI: 10.3906/sag-2004-370

Source DB:  PubMed          Journal:  Turk J Med Sci        ISSN: 1300-0144            Impact factor:   0.973


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