Evidence map›Paper›PMID 37830512›Full record

ArticleSubstance abuse2023

Cocaine Use is Associated With Increased LVMI in Unstably Housed Women With Polysubstance Use.

Akshay Ravi, Eric Vittinghoff, Alan H B Wu, Leslie W Suen, Phillip O Coffin, Priscilla Hsue, Kara L Lynch, Sithu Win, Dhruv S Kazi, Elise D Riley

Open access · greenAbstract read
In one paragraph

Article in Substance abuse, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 3 institutions in 1 country.

Akshay RaviDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-4346-0555
Eric VittinghoffDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Alan H B WuDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
Leslie W SuenDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Phillip O CoffinDivision of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA.
Priscilla HsueDivision of Cardiology, Chan Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Kara L LynchDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
Sithu WinDivision of Cardiology, Chan Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Dhruv S KaziRichard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Elise D RileyDivision of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA.
University of California, San Francisco · USSan Francisco General Hospital · USBeth Israel Deaconess Medical Center · US

Funding

Impact of Cocaine and Polydrug Use on Cranial Small Vessel DiseaseR01DA037012 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RILEY, ELISE D. · 2014 to 2018
$4.1M
Cocaine use, viral suppression and precursors of stroke in HIV infectionR01DA049648 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RILEY, ELISE D. · 2020 to 2024
$4.0M
Mentoring patient-oriented research on the health consequences of polydrug useK24DA039780 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RILEY, ELISE D. · 2015 to 2025
$1.9M
NIDA NIH HHS K24 DA039780NIDA NIH HHS R01 DA037012NIDA NIH HHS R01 DA049648
6 · The paper itself

Abstract

backgroundWhile substance use is known to influence cardiovascular health, most prior studies only consider one substance at a time. We examined associations between the concurrent use of multiple substances and left ventricular mass index (LVMI) in unhoused and unstably housed women.

methodsBetween 2016 and 2019, we conducted a cohort study of unstably housed women in which measurements included an interview, serum/urine collection, vital sign assessment, and a single transthoracic echocardiogram at baseline. We evaluated independent associations between 39 separate substances confirmed through toxicology and echocardiography-confirmed LVMI.

resultsThe study included 194 participants with a median age of 53.5 years and a high proportion of women of color (72.6%). Toxicology-confirmed substance use included: 69.1% nicotine, 56.2% cocaine, 28.9% methamphetamines, 28.9% alcohol, 23.2% opioid analgesics, and 9.8% opioids with catecholaminergic effects. In adjusted analysis, cocaine was independently associated with higher LVMI (Adjusted linear effect: 18%; 95% CI 9.9, 26.6). Associations with other substances did not reach levels of significance and did not significantly interact with cocaine.

conclusionIn a population of vulnerable women where the use of multiple substances is common, cocaine stands out as having particularly detrimental influences on cardiac structure. Blood pressure did not attenuate the association appreciably, suggesting direct effects of cocaine on LVMI. Routinely evaluating stimulant use as a chronic risk factor during risk assessment and preventive clinical care planning may reduce end organ damage, particularly in highly vulnerable women.

Indexed as

CocaineCocaine-Related DisordersSubstance-Related DisordersAnalgesics, OpioidCohort StudiesFemaleHousingHumansMiddle AgedAnalgesics, OpioidCocainecardiac remodelinghomelesspolysubstance usestimulant useunhoused and unstably housedwomen’s health

Identifiers

PMID37830512
PMCPMC11131938
OpenAlexW4387599167

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.