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Accuracy of diagnosing acute kidney injury by assessing urine output within the first week of life in extremely preterm infants.

Masato HirabayashiSohsaku YamanouchiShohei AkagawaYuko AkagawaJiro KinoSadayuki FujishiroTakahisa KimataKenji MineShoji TsujiAtsushi OhashiKazunari Kaneko
Published in: Clinical and experimental nephrology (2022)
The incidence of AKI according to nRIFLE was higher than reported in most previous studies using the neonatal modified KDIGO classification, suggesting that assessment by nRIFLE criteria using UO may improve diagnostic accuracy of AKI in extremely preterm infants.
Keyphrases
  • preterm infants
  • acute kidney injury
  • cardiac surgery
  • low birth weight
  • machine learning
  • deep learning
  • risk factors
  • case control
  • randomized controlled trial
  • clinical trial
  • clinical evaluation