Evidence map›Paper›PMID 39378616›Full record

ArticleGeneral hospital psychiatry

Opioid-related emergency admissions in people with opioid dependence/use disorder with and without sickle cell disease: An analysis of multi-state insurance claims.

Shiyuan A Liu, Tashalee R Brown, Allison A King, Lewei Allison Lin, Sana S Rehman, Richard A Grucza, Kevin Y Xu

Abstract read
In one paragraph

Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Shiyuan A LiuDivision of Hospital Medicine, Department of Medicine, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States of America.
Tashalee R BrownDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, United States of America; Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, United States of America.
Allison A KingDivision of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States of America; Division of Hematology and Oncology, Department of Pediatrics, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States of America.
Lewei Allison LinDepartment of Psychiatry, University of Michigan Medical School, 4250 Plymouth Rd, Ann Arbor, MI 48109, United States of America; Center for Clinical Management Research (CCMR), Veteran Affairs Ann Arbor Healthcare System, 2215 Fuller Road, Ann Arbor, MI 48105, United States of America.
Sana S RehmanDivision of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States of America.
Richard A GruczaDepartments of Family and Community Medicine and Health and Outcomes Research, St. Louis University, 1008 S. Spring Avenue, St. Louis, MO 63110, United States of America.
Kevin Y XuHealth and Behavior Research Center, Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States of America. Electronic address: xukeviny@wustl.edu.

Funding

Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
AN EXAMINATION OF AGE-RELATED DISPARITIES IN MEDICATION ASSISTED TREATMENT AND ASSOCIATED OUTCOMESR21DA044744 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2017 to 2018
$419k
NIDA NIH HHS K12 DA041449NIDA NIH HHS R21 DA044744
6 · The paper itself

Abstract

objectiveWe estimated rates of opioid-related admissions in people with sickle cell disease (SCD) diagnosed with opioid-related disorders.

methodWe analyzed ten years (1/2006-12/2016) of multi-state claims data from 191,638 people receiving treatment for opioid-related disorders in the U.S. We used multivariable cox regression to estimate the association between admissions for opioid-related adverse events after initiating treatment and SCD status (SCD[n = 320] vs no SCD[n = 191,318]) among people with opioid-related disorders, controlling for sociodemographic variables and comorbidities. In secondary analyses, we excluded events occurring simultaneously as vaso-occlusive crises (VOCs) and computed rates of admissions for non-opioid substance-related events (i.e., alcohol, cannabis).

resultsWhereas 287(90 %) of the SCD cohort had >1 all-cause admission, of which 199 were for VOCs, only 78(20 %) experienced an opioid-related adverse event. The SCD cohort experienced higher rates of opioid-related admissions than the non-SCD cohort (aHR = 1.82[95 % CI = 1.51-2.19), a finding that remained robust even after excluding events that occurred at the same time as a VOC. SCD diagnoses were not associated with admissions for non-opioid substance-related events.

conclusionsEven though clinicians may perceive people with SCD as being at elevated risk for substance use disorders, opioid-related admissions made up only a small fraction of all-cause admissions among people with SCD diagnosed with opioid-related disorders, in contrast to VOCs that comprised the majority of admissions. Opioid-related admissions, while modestly higher among those with SCD than among peers without SCD, were relatively uncommon.

Indexed as

Anemia, Sickle CellOpioid-Related DisordersAdolescentAdultAgedComorbidityEmergency Service, HospitalFemaleHospitalizationHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID39378616
PMCPMC11634658

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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.