Evidence map›Paper›PMID 39954415›Full record

ArticleDrug and alcohol dependence2025

Risk Factors for Infective Endocarditis and Serious Injection Related Infections Among People Who Inject Drugs in Los Angeles, CA and Denver, CO.

Siddhi S Ganesh, Jesse Lloyd Goldshear, Patricia Wilkins, Eric Kovalsky, Kelsey A Simpson, Cheyenne J Page, Karen Corsi, Rachel Carmen Ceasar, Joshua A Barocas, Ricky N Bluthenthal

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Siddhi S GaneshKeck School of Medicine, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA. Electronic address: ssganesh@usc.edu.
Jesse Lloyd GoldshearUniversity of California San Diego, Division of Infectious Diseases & Global Public Health, San Diego, CA, USA.
Patricia WilkinsUniversity of Colorado Denver School of Medicine, Department of Psychiatry, Denver, CO, USA.
Eric KovalskyUniversity of Colorado Denver School of Medicine, Department of Psychiatry, Denver, CO, USA.
Kelsey A SimpsonUniversity of California San Diego, Division of Infectious Diseases & Global Public Health, San Diego, CA, USA.
Cheyenne J PageUniversity of California Riverside School of Medicine, Riverside, CA, USA.
Karen CorsiUniversity of Colorado Denver School of Medicine, Department of Psychiatry, Denver, CO, USA.
Rachel Carmen CeasarKeck School of Medicine, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Joshua A BarocasUniversity of Colorado Medicine, Department of Medicine, Divisions of Infectious Diseases and General Internal Medicine, Aurora, CO, USA.
Ricky N BluthenthalKeck School of Medicine, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Cannabis use and health outcomes among opioid-using people who inject drugs in the context of cannabis legalizationR01DA046049 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BLUTHENTHAL, RICKY N, CORSI, KAREN F · 2019 to 2022
$2.6M
NIDA NIH HHS P50 DA046351NIDA NIH HHS R01 DA046049NIDA NIH HHS T32 DA023356
6 · The paper itself

Abstract

backgroundInjection drug use-related infective endocarditis (IDU-IE) and bacterial infections have grown in the United States, but little is known about risk factors for these infections in community samples of people who inject drugs (PWID).

methodsDuring 2021-22, PWID were recruited from community settings and surveyed for history of IDU-IE, serious injection related symptoms (SIRI) and untreated infection symptoms in the last 3 months. We used bivariate analysis and multiple logistic regression to examine factors associated with these outcomes.

resultsAmong participants (n = 472), 7 % reported ever having IDU-IE, 14 % reported having SIRI symptoms and 20 % reported untreated infection symptoms in the last 3 months. Ever having IDU-IE was associated with HCV (adjusted odds ratio [AOR]=8.37; 95 % confidence interval [CI]=2.46, 28.49), prior MRSA infection (AOR=5.37; 95 % CI=2.44, 11.80), identifying as female and/or gender minority person (AOR=3.14; 95 % CI=1.42, 6.95). SIRI symptoms were associated with greater material hardship (compared to low; AOR=2.47; 95 % CI=1.17, 5.22), fentanyl use (AOR=2.15; 95 % CI=1.01, 4.61), sharing filter/cotton (AOR=1.93; 95 % CI=1.10, 3.39), and licking needle prior to injection (AOR=1.85; 95 % CI=1.02, 3.36). Untreated infection symptoms were associated with poor quality sleep (AOR=2.04; 95 % CI=1.21, 3.43), any mental health diagnoses (AOR=2.01; 95 % CI=3.56), any chronic pain (AOR=1.89; 95 % CI=1.14, 3.11), sharing filters (AOR=1.81; 95 % CI=1.10, 2.98), and prior MRSA infection (AOR=1.75; 95 % CI=1.04, 2.97).

conclusionRisk factors identified include treatable co-morbidities (i.e., HCV & MRSA history, mental health, pain, opioid use), modifiable health behaviors (i.e., equipment sharing, needle-licking), and addressable structural conditions (material hardship, housing).

Indexed as

EndocarditisSubstance Abuse, IntravenousAdultFemaleHumansLos AngelesMaleMiddle AgedRisk FactorsBacterial infectionsBasic needsHarm reductionHomelessnessInfective endocarditisOpioids

Identifiers

PMID39954415
PMCPMC11955157

What OpenQuestion holds

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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.