Predicting severity of adverse cardiorespiratory effects of morphine in premature infants: a post hoc analysis of Procedural Pain in Premature Infants trial data

Br J Anaesth. 2021 Apr;126(4):e133-e135. doi: 10.1016/j.bja.2020.10.034. Epub 2020 Dec 9.
No abstract available

Keywords: adverse effects; machine learning; morphine; personalised medicine; predictive modelling; preterm infant; respiratory depression.

Publication types

  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Analgesics, Opioid / adverse effects*
  • Apnea / chemically induced
  • Apnea / diagnosis
  • Data Analysis*
  • Heart Rate / drug effects
  • Heart Rate / physiology
  • Humans
  • Infant, Newborn
  • Infant, Premature
  • Infant, Premature, Diseases / chemically induced*
  • Infant, Premature, Diseases / diagnosis
  • Machine Learning
  • Morphine / adverse effects*
  • Pain, Procedural / diagnosis
  • Pain, Procedural / drug therapy*
  • Predictive Value of Tests
  • Randomized Controlled Trials as Topic / methods
  • Severity of Illness Index*

Substances

  • Analgesics, Opioid
  • Morphine