2021
DOI: 10.1017/s1049023x21000820
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Use of Naloxone in 9-1-1 Patients without Respiratory Depression in Los Angeles County, California (USA)

Abstract: Introduction: Along with an increase in opioid deaths, there has been a desire to increase the accessibility of naloxone. However, in the absence of respiratory depression, naloxone is unlikely to be beneficial and may be deleterious if it precipitates withdrawal in individuals with central nervous system (CNS) depression due to non-opioid etiologies. Objective: The aim of this study was to evaluate how effective prehospital providers were in administering naloxone. Methods:… Show more

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Cited by 1 publication
(2 citation statements)
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“…We chose to define respiratory depression a priori as bradypnea with a respiratory rate of less than 12 breaths per minute, based on the LA County EMS Agency protocol and prior work evaluating prehospital naloxone administration. 28 , 29 Although respiratory depression may also present as hypopnea, it is subjective and not reliably documented in the prehospital care report.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We chose to define respiratory depression a priori as bradypnea with a respiratory rate of less than 12 breaths per minute, based on the LA County EMS Agency protocol and prior work evaluating prehospital naloxone administration. 28 , 29 Although respiratory depression may also present as hypopnea, it is subjective and not reliably documented in the prehospital care report.…”
Section: Methodsmentioning
confidence: 99%
“…Our model included age categories, gender, and clinical indication of respiratory depression because these factors were shown to have an effect in prior literature. 20 , 29 The logistic regression formalized this, allowing us to test whether observed differences by PEH status were 1) reducible to clinical need or 2) reducible to other demographics. The logistic regressions do not provide a complete model of all possible explanations or establish causality, but rather help rule out alternative explanations of scientific and policy significance and to quantify important effects.…”
Section: Methodsmentioning
confidence: 99%