Predicting severity of adverse cardiorespiratory effects of morphine in premature infants: a post hoc analysis of Procedural Pain in Premature Infants trial data. (April 2021)

Record Type:: Journal Article
Title:: Predicting severity of adverse cardiorespiratory effects of morphine in premature infants: a post hoc analysis of Procedural Pain in Premature Infants trial data. (April 2021)
Main Title:: Predicting severity of adverse cardiorespiratory effects of morphine in premature infants: a post hoc analysis of Procedural Pain in Premature Infants trial data
Authors:: Hartley, Caroline
Baxter, Luke
Moultrie, Fiona
Purdy, Ryan
Bhatt, Aomesh
Rogers, Richard
Patel, Chetan
Adams, Eleri
Slater, Rebeccah
Abstract:
Is Part Of:: British journal of anaesthesia. Volume 126:Number 4(2021)
Journal:: British journal of anaesthesia
Issue:: Volume 126:Number 4(2021)
Issue Display:: Volume 126, Issue 4 (2021)
Year:: 2021
Volume:: 126
Issue:: 4
Issue Sort Value:: 2021-0126-0004-0000
Page Start:: e133
Page End:: e135
Publication Date:: 2021-04
Subjects:: adverse effects -- machine learning -- morphine -- personalised medicine -- predictive modelling -- preterm infant -- respiratory depression
Anesthesiology -- Periodicals
Anesthesia -- Periodicals
617.9605
Journal URLs:: http://bja.oupjournals.org ↗
http://bja.oxfordjournals.org ↗
https://www.journals.elsevier.com/british-journal-of-anaesthesia ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗
DOI:: 10.1016/j.bja.2020.10.034 ↗
Languages:: English
ISSNs:: 0007-0912
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 2303.900000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 23360.xml