Evidence map›Paper›PMID 31728892›Full record

ArticleJournal of general internal medicine2020

Risk Factors for Severe Opioid-Related Adverse Events in a National Cohort of Medical Hospitalizations.

Shoshana J Herzig, Mihaela S Stefan, Penelope S Pekow, Meng-Shiou Shieh, William Soares, Karthik Raghunathan, Peter K Lindenauer

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  19. Use and limitations of databases and big data in sleep-disordered breathing research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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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

7 authors at 4 institutions in 1 country.

Shoshana J HerzigDepartment of Medicine, Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. sherzig@bidmc.harvard.edu.
Mihaela S StefanInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
Penelope S PekowInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
Meng-Shiou ShiehInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
William SoaresInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
Karthik RaghunathanAnesthesiology Service, Durham VA Medical Center, Duke University Medical Center, Durham, NC, USA.
Peter K LindenauerInstitute for Healthcare Delivery and Population Science, University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
University of Massachusetts Chan Medical School · USBaystate Health · USBeth Israel Deaconess Medical Center · USDuke Medical Center · US

Funding

Characterizing Opioid-related Adverse Events in Older Adults After Hospital DischargeR01HS026215 · AHRQ · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HERZIG, SHOSHANA J · 2018 to 2022
$1.8M
SPOiLER: towards Safer Prescribing of Legal Opioids from the Emergency RoomK08DA045933 · NIDA · BAYSTATE MEDICAL CENTER, INC. · PI SOARES, WILLIAM EDWARD · 2018 to 2022
$930k
Improving Use of Sedating Medications in Hospitalized Older AdultsK23AG042459 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HERZIG, SHOSHANA J · 2013 to 2017
$783k
Research and Mentoring in Comparative Effectiveness and Implementation ScienceK24HL132008 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2016 to 2020
$574k
AHRQ HHS R01 HS026215NHLBI NIH HHS K24 HL132008NIA NIH HHS K23 AG042459NIDA NIH HHS K08 DA045933
6 · The paper itself

Abstract

backgroundOpioids are a leading cause of adverse drug events in the hospital. Guidelines recommend that physicians assess the risks of opioids and discuss them with patients when considering opioid use. There are no studies examining patient- and prescribing-related risk factors for opioid-related adverse drug events (ORADEs) in hospitalized medical patients.

objectiveTo identify independent risk factors for severe ORADEs in hospitalized medical patients.

designRetrospective cohort study. PATIENTS: Medical patients hospitalized at US, non-federal, and acute care facilities, with at least one pharmacy charge for an opioid during hospitalization. We excluded patients with metastatic malignancy, hospice, or palliative care billing codes. MAIN MEASURES: We used Cox proportional hazards modeling to identify risk factors for severe ORADEs, defined by a pharmacy charge for naloxone. Candidate risk factors were chosen a priori, based on clinical grounds and prior literature. KEY

resultsAmong 731,208 hospitalizations (median age 60, 56.5% female), a severe ORADE occurred in 2727 (0.4%). Independent risk factors included patient characteristics (advanced age, female gender), comorbidities (congestive heart failure, opioid abuse/dependence, non-opioid drug abuse/dependence, psychosis, depression, obstructive sleep apnea), organ failures on admission (respiratory failure, shock/hypotension, renal failure, hepatic failure, acidosis, and neurologic failure), medication co-administrations (antipsychotics and short-acting benzodiazepines), and characteristics of the opioid prescriptions themselves (total dose for the day, parenteral route of administration, and receipt of multiple types of opioids in a day). Although a risk prediction model derived from these factors performed well on stratified k-fold cross-validation (average c-statistics 0.68-0.71), the low incidence of the outcome limited the positive predictive value of the risk score.

conclusionsIn this national cohort of medical patients, we identified several risk factors for ORADEs that can be used to inform physician decision-making, conversations with patients about risk, and development and targeting of harm reduction strategies for at-risk populations.

Indexed as

Analgesics, OpioidPostoperative PainCohort StudiesFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesRisk FactorsAnalgesics, Opioidadverse drug eventsadverse effects of opioidshospitalizationnaloxoneopioidsrisk scores

Identifiers

PMID31728892
PMCPMC7018928
OpenAlexW2988229260

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.