Evidence map›Paper›PMID 33886667›Full record

ArticlePloS one2021

Association of prescription opioid use on mortality and hospital length of stay in the intensive care unit.

Nicole Hardy, Fatima Zeba, Anaelia Ovalle, Alicia Yanac, Christelle Nzugang-Noutonsi, Mike Abadier, Anais Ovalle, Abdullah Chahin

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

8 authors.

Nicole HardyDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, United States of America.ORCID 0000-0002-1597-0371
Fatima ZebaDepartment of Medicine, Kent Hospital/Brown University, Warwick, RI, United States of America.ORCID 0000-0002-5356-7209
Anaelia OvalleDepartment of Computer Science, University of California Los Angeles, Los Angeles, California, United States of America.
Alicia YanacDepartment of Medicine, Kent Hospital/Brown University, Warwick, RI, United States of America.
Christelle Nzugang-NoutonsiDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, United States of America.
Mike AbadierDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, United States of America.
Anais OvalleDepartment of Medicine, Leadership Preventive Medicine Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States of America.
Abdullah ChahinDepartment of Medicine, Kent Hospital/Brown University, Warwick, RI, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSeveral studies show that chronic opioid dependence leads to higher in-hospital mortality, increased risk of hospital readmissions, and worse outcomes in trauma cases. However, the association of outpatient prescription opioid use on morbidity and mortality has not been adequately evaluated in a critical care setting. The purpose of this study was to determine if there is an association between chronic opioid use and mortality after an ICU admission.

designA single-center, longitudinal retrospective cohort study of all Intensive Care Unit (ICU) patients admitted to a tertiary-care academic medical center from 2001 to 2012 using the MIMIC-III database.

settingMedical Information Mart for Intensive Care III database based in the United States. PATIENTS: Adult patients 18 years and older were included. Exclusion criteria comprised of patients who expired during their hospital stay or presented with overdose; patients with cancer, anoxic brain injury, non-prescription opioid use; or if an accurate medication reconciliation was unable to be obtained. Patients prescribed chronic opioids were compared with those who had not been prescribed opioids in the outpatient setting.

interventionsNone. MEASUREMENTS AND MAIN

resultsThe final sample included a total of 22,385 patients, with 2,621 (11.7%) in the opioid group and 19,764 (88.3%) in the control group. After proceeding with bivariate analyses, statistically significant and clinically relevant differences were identified between opioid and non-opioid users in sex, length of hospital stay, and comorbidities. Opioid use was associated with increased mortality in both the 30-day and 1-year windows with a respective odds ratios of 1.81 (95% CI, 1.63-2.01; p<0.001) and 1.88 (95% CI, 1.77-1.99; p<0.001), respectively.

conclusionsChronic opioid usage was associated with increased hospital length of stay and increased mortality at both 30 days and 1 year after ICU admission. Knowledge of this will help providers make better choices in patient care and have a more informed risk-benefits discussion when prescribing opioids for chronic usage.

Indexed as

Hospital MortalityIntensive Care UnitsLength of StayAcademic Medical CentersAnalgesics, OpioidCase-Control StudiesCritical CareElectronic Health RecordsFemaleHumansLongitudinal StudiesMaleMiddle AgedOpioid-Related DisordersPatient ReadmissionRetrospective StudiesAnalgesics, Opioid

Identifiers

PMID33886667
PMCPMC8061930

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Registered trials

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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.