Evidence map›Paper›PMID 42216131›Full record

ArticleBMC public health2026

Recreational drug inhalation and socioenvironmental determinants of pulmonary infection in patients with HIV: a hospital-based case control study.

Robert J Blount, Serena Fong, Stephen Stone, Veesta Falahati, Elizabeth Auld, John Balmes, Laurence Huang

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Robert J BlountPulmonary and Critical Care Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA. robert-blount@uiowa.edu.
Serena FongDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA.
Stephen StoneDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA.
Veesta FalahatiKaiser Permanente Oakland Medical Center, Oakland, CA, USA.
Elizabeth AuldDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA.
John BalmesDivision of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA.
Laurence HuangDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA.

Funding

Inflammation, Aging, Microbes, Obstructive Lung Disease and Diffusion Abnormalities (I AM OLD-DA) Study - Diversity SupplementR01HL128156 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE, HUNT, PETER W · 2015 to 2024
$7.1M
International HIV-associated Opportunistic Pneumonias (IHOP) StudyR01HL090335 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE · 2007 to 2011
$4.0M
Patient-Oriented Research and Mentoring in PneumocystisK24HL087713 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE · 2006 to 2018
$1.8M
Effects of Traffic Pollution on Lung Immunity and Pneumonia in Persons with HIVF32ES022582 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLOUNT, ROBERT J · 2013 to 2014
$134k
NHLBI NIH HHS K24 HL087713NHLBI NIH HHS R01 HL090335NHLBI NIH HHS R01 HL128156NIEHS NIH HHS F32 ES022582NIEHS NIH HHS F32ES022582NIH HHS K24 HL087713, R01 HL090335, and R01 HL128156
6 · The paper itself

Abstract

backgroundPulmonary infections cause substantial morbidity and mortality among people with HIV. Our objective was to evaluate common urban exposures among those living with HIV which may increase risk of pulmonary infection.

methodsWe enrolled 75 adult patients infected with HIV and admitted to San Francisco General Hospital into a hospital-based case-control study: 38 cases with pulmonary infection and 37 controls admitted for diagnoses other than pulmonary infection. We administered questionnaires to assess inhaled drug exposures, outdoor and indoor pollution, and occupational exposures. We fit multivariable logistic regression models with pulmonary infection as the dichotomous outcome and each exposure as a primary predictor in separate models, including potential confounders based on biological plausibility and backward selection criteria.

resultsParticipants were middle-aged (median age 48 years) and predominantly male (77%). Poverty was prevalent, with 79% unemployed and 27% unstably housed or homeless. Median CD4 count was lower in cases compared with controls (88 vs. 300 cells/µL, p = 0.005). Most cases were admitted with either bacterial pneumonia (76%) or Pneumocystis pneumonia (16%), and the most common admission diagnosis among controls was non-pulmonary infection (43%). 59% of participants had smoked tobacco cigarettes within the month prior to enrollment while 40% had recently smoked marijuana. In adjusted logistic regression models, tobacco smokers had six times higher odds of pulmonary infection (aOR 6.43, 95%CI 1.70-24.4) compared with non or former smokers, while those who had recently smoked marijuana experienced a 79% reduction in odds of pulmonary infection (aOR 0.21, 95%CI 0.06-0.78) compared with no recent marijuana smoking. Unstable housing or homelessness predicted a three-fold increased odds of pulmonary infection (aOR 3.22, 95%CI 1.01-10.3), whereas those sleeping on higher floors were at reduced odds of pulmonary infection, with each floor level above street-level predicting a 40% reduced odds of pulmonary infection (aOR 0.60, 95%CI 0.41-0.86). Finally, opening windows for ventilation was associated with reduced pulmonary infection odds (aOR 0.051, 95%CI 0.004-0.64).

conclusionsPulmonary infection odds were increased with tobacco smoking and homelessness; and decreased among recent marijuana smokers, those sleeping on higher floors and opening windows for ventilation.

Indexed as

HIV InfectionsIllicit DrugsInhalation ExposureRespiratory Tract InfectionsAdministration, InhalationAdultCase-Control StudiesFemaleHumansMaleMiddle AgedRisk FactorsSan FranciscoSocioeconomic FactorsSurveys and QuestionnairesIllicit DrugsCommunity acquired pneumoniaHIVIllicit drugsMarijuanaPneumocystis pneumoniaSocial determinants of healthTuberculosis

Identifiers

PMID42216131
PMCPMC13425963

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.