Evidence map›Paper›PMID 31369724›Full record

ArticleThe American journal of medicine2020

The Impact of Substance Abuse on Heart Failure Hospitalizations.

Marin Nishimura, Harpreet Bhatia, Janet Ma, Stephen D Dickson, Laith Alshawabkeh, Eric Adler, Alan Maisel, Michael H Criqui, Barry Greenberg, Isac C Thomas

Open access · greenAbstract read
In one paragraph

Article in The American journal of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 73 citations in OpenAlex.

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  6. Time to Death by Suicide in an Epidemiological Sample of Veterans With an Inpatient Hospitalization for Heart Failure.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2025
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  16. The impact of medication-assisted treatment for opioid use disorder on congestive heart failure outcomes.American heart journal plus : cardiology research and practice · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Marin NishimuraDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Harpreet BhatiaDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Janet MaDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Stephen D DicksonDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Laith AlshawabkehDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Eric AdlerDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Alan MaiselDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Michael H CriquiDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego; Division of Preventive Medicine, Department of Family Medicine and Public Health, University of California, San Diego.
Barry GreenbergDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego.
Isac C ThomasDivision of Cardiovascular Medicine, Department of Medicine, University of California, San Diego. Electronic address: icthomas@ucsd.edu.
University of California, San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
NCATS NIH HHS UL1 TR001442
6 · The paper itself

Abstract

backgroundThe burden of substance abuse among patients with heart failure and its association with subsequent emergency department visits and hospital admissions are poorly characterized.

methodsWe evaluated the medical records of patients with a diagnosis of heart failure treated at the University of California-San Diego from 2005 to 2016. We identified substance abuse via diagnosis codes or urine drug screens. We used Poisson regression to evaluate the incidence rate ratios (IRR) of substance abuse for emergency department visits or hospitalizations with a primary diagnosis of heart failure, adjusted for age, sex, race, medical insurance status, and medical diagnoses.

resultsWe identified 11,268 patients with heart failure and 15,909 hospital encounters for heart failure over 49,712 person-years of follow-up. Substance abuse was diagnosed in 15.2% of patients. Disorders such as methamphetamine abuse (prevalence 5.2%, IRR 1.96, 95% confidence interval [CI] 1.85-2.07), opioid use and abuse (8.2%, IRR 1.54, 95% CI 1.47-1.61), and alcohol abuse (4.5%, IRR 1.51, 95% CI 1.42-1.60) were associated with a greater number of hospital encounters for heart failure, with associations that were comparable to diagnoses such as atrial fibrillation (37%, IRR 1.78, 95% CI 1.73-1.84), ischemic heart disease (24%, IRR 1.67, 95% CI 1.62-1.73), and chronic kidney disease (26%, IRR 1.57, 95% CI 1.51-1.62).

conclusionsAlthough less prevalent than common medical comorbidities in patients with heart failure, substance-abuse disorders are significant sources of morbidity that are independently associated with emergency department visits and hospitalizations for heart failure. Greater recognition and treatment of substance abuse may improve outcomes among patients with heart failure.

Indexed as

Opioid-Related DisordersAdultAgedAged, 80 and overAlcoholismAmphetamine-Related DisordersCaliforniaFemaleHeart FailureHospitalizationHumansMaleMethamphetamineMiddle AgedRetrospective StudiesMethamphetamineHeart failureReadmissionSubstance abuse

Identifiers

PMID31369724
PMCPMC6980459
OpenAlexW2965812389

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.