Evidence map›Paper›PMID 29566020›Full record

ArticlePloS one2018

Risk factors for cardiopulmonary and respiratory arrest in medical and surgical hospital patients on opioid analgesics and sedatives.

Igor Izrailtyan, Jiejing Qiu, Frank J Overdyk, Mary Erslon, Tong J Gan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03948880 (Incidence of OIRD in Medical and Trauma Patients on the General Care Floor Receiving PCA or Nurse Administered Intravenous Opioids Monitored by Capnography and Pulse Oximetry), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT03948880 unknown statusnot on this mapstarted 2019, after this paper: background citation

Incidence of OIRD in Medical and Trauma Patients on the General Care Floor Receiving PCA or Nurse Administered Intravenous Opioids Monitored by Capnography and Pulse Oximetry: A Prospective, Blinded Observational Study

TypeobservationalSponsorCommunity Health SystemRan2019 to 2019Enrolled101ConditionsRespiratory Depression, Sedation
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  15. OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2021
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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

5 authors at 4 institutions in 1 country.

Igor IzrailtyanDepartment of Anesthesiology, Stony Brook University, Stony Brook, NY, United States of America.
Jiejing QiuHealth Economics and Outcomes Research, Medtronic, Mansfield, MA, United States of America.
Frank J OverdykDepartment of Anesthesiology, Roper St Francis Health System, Charleston, SC, United States of America.
Mary ErslonRespiratory, Gastrointestinal & Informatics, Medtronic, Boulder, CO, United States of America.
Tong J GanDepartment of Anesthesiology, Stony Brook University, Stony Brook, NY, United States of America.ORCID 0000-0001-5506-398X
Stony Brook University · USMansfield University · USMedtronic (United States) · USRoper St. Francis Healthcare · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpioid induced respiratory depression is a known cause of preventable death in hospitals. Medications with sedative properties additionally potentiate opioid-induced respiratory and sedative effects, thereby elevating the risk for adverse events. The goal of this study was to determine what specific factors increase the risk of in-hospital cardiopulmonary and respiratory arrest (CPRA) in medical and surgical patients on opioid and sedative therapy.

methodsThe present study analyzed 14,504,809 medical inpatient and 6,771,882 surgical inpatient discharges reported into the Premier database from 2008 to 2012. Patients were divided in four categories: on opioids; on sedatives; on both opioids and sedatives; and on neither opioids nor sedatives.

resultsDuring hospital admission, 57% of all medical patients and 90% of all surgical patients were prescribed opioids, sedatives, or both. Surgical patients had a higher incidence of CPRA than medical patients (6.17 vs. 3.77 events per 1000 admissions; Relative Risk: 1.64 [95%CI: 1.62-1.66; p<0.0001). Opioids and sedatives were found to be independent predictors of CPRA (adjusted OR of 2.24 [95%CI: 2.18-2.29] for opioids and adjusted OR 1.80 [95%CI: 1.75-1.85] for sedatives in medical patients, and adjusted OR of 1.12 [95%CI: 1.07-1.16] for opioids and adjusted OR of 1.58 [95%CI: 1.51-1.66] for sedatives in surgical patients), with the highest risk in groups who received both types of medications (adjusted OR of 3.83 [95% CI: 3.74-3.92] in medical patients, and adjusted OR of 2.34 [95% CI: 2.25-2.42] in surgical patients) compared with groups that received neither type of medication. The common risk factors of CPRA in medical and surgical patients receiving both opioids and sedatives were Hispanic origin, mild liver disease, obesity, and COPD. Additionally, medical and surgical groups had their own unique risk factors for CPRA when placed on opioid and sedative therapy.

conclusionsOpioids and sedatives are independent and additive predictors of CPRA in both medical and surgical patients. Receiving both classes of medications further exacerbates the risk of CPRA for these patients. By identifying groups at risk among medical and surgical in-hospital patients, this study provides a step towards improving our understanding of how to use opioid and sedative medications safely, which may influence our treatment strategies and outcomes. More precise monitoring of selected high-risk patients may help prevent catastrophic cardiorespiratory complications from these medications. As a retrospective administrative database analysis, this study does not establish the causality or the temporality of the events but rather draws statistically significant associations between the clinical factors and outcomes.

Indexed as

AdultAgedAged, 80 and overAnalgesics, OpioidFemaleHeart ArrestHospitalizationHospital MortalityHospitalsHumansHypnotics and SedativesMaleMiddle AgedRespiratory InsufficiencyRetrospective StudiesRisk FactorsAnalgesics, OpioidHypnotics and Sedatives

Identifiers

PMID29566020
PMCPMC5864099
OpenAlexW2790082605

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.