Evidence map›Paper›PMID 31515181›Full record

ArticleAnnals of emergency medicine2020

Predictors of Overdose Death Among High-Risk Emergency Department Patients With Substance-Related Encounters: A Data Linkage Cohort Study.

Noa Krawczyk, Matthew Eisenberg, Kristin E Schneider, Tom M Richards, B Casey Lyons, Kate Jackson, Lindsey Ferris, Jonathan P Weiner, Brendan Saloner

Open access · greenAbstract read
In one paragraph

Article in Annals of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

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  19. Evaluatıon of Depressıon and Anxıety Status in Patıents After Cardıac Devıce Implantatıon.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
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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

9 authors at 2 institutions in 1 country.

Noa KrawczykDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Electronic address: noakra@gmail.com.
Matthew EisenbergDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Kristin E SchneiderDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Tom M RichardsJohns Hopkins Center for Population and Health and Information Technology, Baltimore, MD.
B Casey LyonsBehavioral Health Administration, Maryland Department of Health, Columbia, MD.
Kate JacksonBehavioral Health Administration, Maryland Department of Health, Columbia, MD.
Lindsey FerrisDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Chesapeake Regional Information System for Our Patients, Columbia, MD.
Jonathan P WeinerDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Johns Hopkins Center for Population and Health and Information Technology, Baltimore, MD.
Brendan SalonerDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · USMaryland Department of Health · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Assessing the relationship between opioid agonist therapy and risk of overdose and criminal justice involvement in Maryland: a population-based approachF31DA047021 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KRAWCZYK, NOA · 2018 to 2018
$45k
NIDA NIH HHS F31 DA047021NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

STUDY

objectivePersons with substance use disorders frequently utilize emergency department (ED) services, creating an opportunity for intervention and referral to addiction treatment and harm-reduction services. However, EDs may not have the appropriate tools to distinguish which patients are at greatest risk for negative outcomes. We link hospital ED and medical examiner mortality databases in one state to identify individual-level risk factors associated with overdose death among ED patients with substance-related encounters.

methodsThis retrospective cohort study linked Maryland statewide ED hospital claims records for adults with nonfatal overdose or substance use disorder encounters in 2014 to 2015 with medical examiner mortality records in 2015 to 2016. Logistic regression was used to identify factors in hospital records associated with risk of opioid overdose death. Predicted probabilities for overdose death were calculated for hypothetical patients with different combinations of overdose and substance use diagnostic histories.

resultsA total of 139,252 patients had substance-related ED encounters in 2014 to 2015. Of these patients, 963 later experienced an opioid overdose death, indicating a case fatality rate of 69.2 per 10,000 patients, 6 times higher than that of patients who used the ED for any cause. Factors most strongly associated with death included having both an opioid and another substance use disorder (adjusted odds ratio 2.88; 95% confidence interval 2.04 to 4.07), having greater than or equal to 3 previous nonfatal overdoses (adjusted odds ratio 2.89; 95% confidence interval 1.54 to 5.43), and having a previous nonfatal overdose involving heroin (adjusted odds ratio 2.24; 95% confidence interval 1.64 to 3.05).

conclusionThese results highlight important differences in overdose risk among patients receiving care in EDs for substance-related conditions. The findings demonstrate the potential utility of incorporating routine data from patient records to assess risk of future negative outcomes and identify primary targets for initiation and linkage to lifesaving care.

Indexed as

AdolescentAdultComorbidityDatabases, FactualDrug OverdoseEmergency Medical ServicesFemaleHumansInformation Storage and RetrievalLogistic ModelsMaleMarylandMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID31515181
PMCPMC6928412
OpenAlexW2972734762

What OpenQuestion holds

Textmetadata
LicenceTDM
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.