Machine-learning-based evaluation of the usefulness of lactate for predicting neonatal mortality in preterm infants.

Journal: Pediatrics and neonatology
Published Date: Sep 25, 2024

Abstract

BACKGROUND: Unlike in adult and pediatric patients, the usefulness of lactate in preterm infants has not been thoroughly discussed. This study aimed to evaluate whether the lactate level in the first hours of life is an important factor associated with neonatal death in very-low-birth-weight (VLBW) preterm infants.

Authors

  • Moon-Yeon Oh
    Department of Pediatrics, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea; Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Sol Kim
    Department of Pediatrics, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea; Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Minsoo Kim
    Biomechanics Laboratory, Department of Healthcare and Science, College of Health Sciences, Dong-A University, 37 Nakdong‑daero, 550 Beon‑gil, Hadan 2-Dong, Saha-gu, Busan, 49315, Republic of Korea.
  • Yu Mi Seo
    Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Department of Pediatrics, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
  • Sook Kyung Yum
    Department of Pediatrics, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea; Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. Electronic address: neoped@catholic.ac.kr.

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