Urine biomarkers, acute kidney injury, and fluid overload in neonatal cardiac surgery

In a small, single-centre cohort, age- and disease-specific urine biomarker concentrations are described. These data identify typical trends and will inform future studies.

Authors

Institutions

Publication Details

Journal
Cardiology in the Young
Published
2025-02-06
DOI
https://doi.org/10.1017/s1047951125000034
Citations
1
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Urine biomarkers, acute kidney injury, and fluid overload in neonatal cardiac surgery

Rasheed Gbadegesin, Rebecca D Sullenger, Elizabeth J. Thompson, Kevin D. Hill et al.
1 citations
Cardiology in the Young
Acute Kidney Injury Research
1.43
article

Urine biomarkers, acute kidney injury, and fluid overload in neonatal cardiac surgery

Rasheed Gbadegesin, Rebecca D Sullenger, Elizabeth J. Thompson, Kevin D. Hill, Christoph P. Hornik, Reid C. Chamberlain, Alison Kilborn
article en
1 citations

Abstract

In a small, single-centre cohort, age- and disease-specific urine biomarker concentrations are described. These data identify typical trends and will inform future studies.

Cardiology in the YoungVol. 35(3)
Duke University (US), Clinical Research Institute (US), Duke University Hospital (US)
Vanderbilt University, Vanderbilt University Medical Center, National Center for Advancing Translational Sciences
Good health and well-being
Openalex Percentile: Top 23%
Acute Kidney Injury Research
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.