Evidence map›Paper›PMID 35224799›Full record

ArticleAddiction (Abingdon, England)2022

Dosing profiles of concurrent opioid and benzodiazepine use associated with overdose risk among US Medicare beneficiaries: group-based multi-trajectory models.

Wei-Hsuan Lo-Ciganic, Juan Hincapie-Castillo, Ting Wang, Yong Ge, Bobby L Jones, James L Huang, Ching-Yuan Chang, Debbie L Wilson, Jeannie K Lee, Gary M Reisfield and 14 more

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

24 authors at 10 institutions in 2 countries.

Wei-Hsuan Lo-CiganicDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-6590-4770
Juan Hincapie-CastilloDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-6945-2713
Ting WangAgricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID 0000-0003-4523-2393
Yong GeDepartment of Management Information Systems, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-9630-795X
Bobby L JonesDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0003-3290-0663
James L HuangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-8286-4560
Ching-Yuan ChangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-9585-6340
Debbie L WilsonDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-1640-5497
Jeannie K LeeDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson, AZ, USA.ORCID 0000-0001-9907-6993
Gary M ReisfieldDivisions of Addiction Medicine & Forensic Psychiatry, Departments of Psychiatry & Anesthesiology, College of Medicine, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-5022-5430
Chian K KwohUniversity of Arizona Arthritis Center, College of Medicine, University of Arizona, Tucson, AZ, USA.ORCID 0000-0001-5937-550X
Chris DelcherPharmacy Practice & Science, Institute for Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Kentucky, Lexington, KY, USA.ORCID 0000-0001-7214-0326
Khoa A NguyenDepartment of Pharmacotherapy & Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-0096-0293
Lili ZhouDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-9568-1325
Ronald I ShorrNorth Florida/South Georgia Veterans Health System Geriatric Research Education and Clinical Center, Gainesville, FL, USA.ORCID 0000-0002-1457-4668
Jingchuan GuoDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-9799-2592
Zachary A MarcumSchool of Pharmacy, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4690-2304
Christopher A HarleDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-4803-3632
Haesuk ParkDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0003-3299-8111
Almut WintersteinDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-6518-5961
Seonkyeong YangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-5198-8544
Pei-Lin HuangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-7861-3745
Lauren AdkinsHealth Science Center Libraries, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-0914-2086
Walid F GelladCenter for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-6992-5197
University of Florida · USCenter for Drug Evaluation and Research · USUniversity of Arizona · USAgricultural Information Institute · CNAmerican Association of Colleges of Pharmacy · USGeriatric Research Education and Clinical Center · USUniversity of Florida Health Science Center · USUniversity of Kentucky · USUniversity of Pittsburgh · USUniversity of Washington · US

Funding

Using a predicting Risky Opioid-Benzodiazepine Trajectory e-Care Tool (PROTeCT) to identify high-risk regionsR21AG060308 · NIA · UNIVERSITY OF FLORIDA · PI LO-CIGANIC, WEI-HSUAN · 2019 to 2020
$523k
NIA NIH HHS R21 AG060308
6 · The paper itself

Abstract

BACKGROUND AND

aimsOne-third of opioid (OPI) overdose deaths involve concurrent benzodiazepine (BZD) use. Little is known about concurrent opioid and benzodiazepine use (OPI-BZD) most associated with overdose risk. We aimed to examine associations between OPI-BZD dose and duration trajectories, and subsequent OPI or BZD overdose in US Medicare.

designRetrospective cohort study.

settingUS Medicare.

participantsUsing a 5% national Medicare data sample (2013-16) of fee-for-service beneficiaries without cancer initiating OPI prescriptions, we identified 37 879 beneficiaries (age ≥ 65 = 59.3%, female = 71.9%, white = 87.6%, having OPI overdose = 0.3%). MEASUREMENTS: During the 6 months following OPI initiation (i.e. trajectory period), we identified OPI-BZD dose and duration patterns using group-based multi-trajectory models, based on average daily morphine milligram equivalents (MME) for OPIs and diazepam milligram equivalents (DME) for BZDs. To label dose levels in each trajectory, we defined OPI use as very low (< 25 MME), low (25-50 MME), moderate (51-90 MME), high (91-150 MME) and very high (>150 MME) dose. Similarly, we defined BZD use as very low (< 10 DME), low (10-20 DME), moderate (21-40 DME), high (41-60 DME) and very high (> 60 DME) dose. Our primary analysis was to estimate the risk of time to first hospital or emergency department visit for OPI overdose within 6 months following the trajectory period using inverse probability of treatment-weighted Cox proportional hazards models.

findingsWe identified nine distinct OPI-BZD trajectories: group A: very low OPI (early discontinuation)-very low declining BZD (n = 10 598; 28.0% of the cohort); B: very low OPI (early discontinuation)-very low stable BZD (n = 4923; 13.0%); C: very low OPI (early discontinuation)-medium BZD (n = 4997; 13.2%); D: low OPI-low BZD (n = 5083; 13.4%); E: low OPI-high BZD (n = 3906; 10.3%); F: medium OPI-low BZD (n = 3948; 10.4%); G: very high OPI-high BZD (n = 1371; 3.6%); H: very high OPI-very high BZD (n = 957; 2.5%); and I: very high OPI-low BZD (n = 2096; 5.5%). Compared with group A, five trajectories (32.3% of the study cohort) were associated with increased 6-month OPI overdose risks: E: low OPI-high BZD [hazard ratio (HR) = 3.27, 95% confidence interval (CI) = 1.61-6.63]; F: medium OPI-low BZD (HR = 4.04, 95% CI = 2.06-7.95); G: very high OPI-high BZD (HR = 6.98, 95% CI = 3.11-15.64); H: very high OPI-very high BZD (HR = 4.41, 95% CI = 1.51-12.85); and I: very high OPI-low BZD (HR = 6.50, 95% CI = 3.15-13.42).

conclusionsPatterns of concurrent opioid and benzodiazepine use most associated with overdose risk among fee-for-service US Medicare beneficiaries initiating opioid prescriptions include very high-dose opioid use (MME > 150), high-dose benzodiazepine use (DME > 40) or medium-dose opioid with low-dose benzodiazepine use.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAgedAnalgesics, OpioidBenzodiazepinesFemaleHumansMaleMedicareRetrospective StudiesUnited StatesAnalgesics, OpioidBenzodiazepinesBenzodiazepinegroup-based trajectory modelingMedicareopioidoverdosetrajectories

Identifiers

PMID35224799
PMCPMC11863753
OpenAlexW4214498113

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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.