Evidence map›Paper›PMID 33023997›Full record

Trial reportRespiratory care2021

Electronic Medical Record-Based Pager Notification Reduces Excess Oxygen Exposure in Mechanically Ventilated Subjects.

Sonal R Pannu, Steven Holets, Man Li, Alberto Marquez, Rahul Kashyap, Guy Brock, Ognjen Gajic

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Respiratory care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. A scoping review of rule-based clinical decision support malfunctions.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Sonal R PannuDivision of Pulmonary, Allergy, Critical Care & Sleep Medicine, The Ohio State University, Columbus, Ohio. sonal.pannu@osumc.edu.
Steven HoletsMayo Clinic, Department of Respiratory Care, Rochester, Minnesota.
Man LiMayo Clinic, Department of Information Technology, Rochester, Minnesota.
Alberto MarquezMayo Clinic, Department of Respiratory Care, Rochester, Minnesota.
Rahul KashyapMayo Clinic, Department of Anesthesiology, Division of Critical Care Medicine, Rochester, Minnesota.
Guy BrockCenter for Biostatistics and Bioinformatics, The Ohio State University, Columbus, Ohio.
Ognjen GajicDepartment of Pulmonary and Division of Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.
Mayo Clinic · USThe Ohio State University · US

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002733
6 · The paper itself

Abstract

backgroundLiberal oxygenation during mechanical ventilation is harmful in critically ill patients and in certain subsets of patients, including those with stroke, acute myocardial infarction, and cardiac arrest. Surveillance through electronic medical records improves safety of mechanical ventilation in the ICU. To date, this practice has not been used for oxygen titration ([Formula: see text]) in adults. We hypothesize that a surveillance system based on the electronic medical record to alert respiratory therapists to titrate [Formula: see text] is feasible, safe, and efficacious.

methodsIn this pilot study, mechanically ventilated subjects were randomized to respiratory therapist-driven [Formula: see text] titration after an electronic alert versus standard of care (ie, titration based on physician order). An automated surveillance system utilizing a hyperoxemia-detection algorithm generated an electronic alert to a respiratory therapist's pager. Hyperoxemia was defined as [Formula: see text] > 0.5 and [Formula: see text] > 95% for > 30 min. No other aspects of treatment were changed. We assessed feasibility, safety, and preliminary efficacy. Primary outcome was duration of hyperoxemia during mechanical ventilation. An unsafe outcome was identified as hypoxemia ([Formula: see text] < 88%) within 1 h after titration per alert. Feasibility was assessed by a survey of respiratory therapists.

resultsOf 226 randomized subjects, 31 were excluded (eg, programming errors of the electronic alerts, no consent, physician discretion). We included 195 subjects, of whom 86 were in the intervention arm. Alert accuracy was 78%, and respiratory therapists responded to 64% of the alerts. During mechanical ventilation, exposure to hyperoxemia significantly decreased in the intervention group (median 13.5 h [interquartile range 6.2-29.4] vs 18.8 h [interquartile range 9.6-37.4]). No episodes of significant hypoxemia were registered. Most respiratory therapists agreed that the alert was helpful in reducing excessive oxygen exposure.

conclusionsUse of an electronic surveillance system to titrate [Formula: see text] was safe and feasible and showed preliminary efficacy in reducing hyperoxemia. Our study serves to justify larger randomized controlled trials for [Formula: see text] titration.

Indexed as

Electronic Health RecordsRespiration, ArtificialAdultCritical IllnessHumansOxygenPilot ProjectsOxygenelectronic alertselectronic medical recordshyperoxiamechanical ventilationoxygen

Identifiers

PMID33023997
PMCPMC8984915
OpenAlexW3091926027

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.