Patterns of Infectious Disease Associated With Injection Drug Use in Massachusetts.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
16 06 2023
Historique:
received: 12 12 2022
pmc-release: 09 02 2024
medline: 19 6 2023
pubmed: 10 2 2023
entrez: 9 2 2023
Statut: ppublish

Résumé

Since 2014, multiple outbreaks of human immunodeficiency virus (HIV) among people who inject drugs have occurred across the United States along with hepatitis C virus (HCV), skin and soft tissue infections (SSTIs), and infective endocarditis (IE), creating a converging public health crisis. We analyzed the temporal patterns of infectious disease and overdose using a hierarchical Bayesian distributed lag logistic regression model examining the probability that a given geographic area experienced at least 1 HIV case in a given month as a function of the counts/rates of overdose, HCV, SSTI, and IE and associated medical procedures at different lagged time periods. Current-month HIV is associated with increasing HCV cases, abscess incision and drainage, and SSTI cases, in distinct temporal patterns. For example, 1 additional HCV case occurring 5 and 7 months previously is associated with a 4% increase in the odds of observing at least 1 current-month HIV case in a given locale (odds ratios, 1.04 [90% credible interval {CrI}: 1.01-1.10] and 1.04 [90% CrI: 1.00-1.09]). No such associations were observed for echocardiograms, IE, or overdose. Lagged associations in other infections preceding rises in current-month HIV counts cannot be described as predictive of HIV outbreaks but may point toward newly discovered epidemics of injection drug use and associated clinical sequalae, prompting clinicians to screen patients more carefully for substance use disorder and associated infections.

Sections du résumé

BACKGROUND
Since 2014, multiple outbreaks of human immunodeficiency virus (HIV) among people who inject drugs have occurred across the United States along with hepatitis C virus (HCV), skin and soft tissue infections (SSTIs), and infective endocarditis (IE), creating a converging public health crisis.
METHODS
We analyzed the temporal patterns of infectious disease and overdose using a hierarchical Bayesian distributed lag logistic regression model examining the probability that a given geographic area experienced at least 1 HIV case in a given month as a function of the counts/rates of overdose, HCV, SSTI, and IE and associated medical procedures at different lagged time periods.
RESULTS
Current-month HIV is associated with increasing HCV cases, abscess incision and drainage, and SSTI cases, in distinct temporal patterns. For example, 1 additional HCV case occurring 5 and 7 months previously is associated with a 4% increase in the odds of observing at least 1 current-month HIV case in a given locale (odds ratios, 1.04 [90% credible interval {CrI}: 1.01-1.10] and 1.04 [90% CrI: 1.00-1.09]). No such associations were observed for echocardiograms, IE, or overdose.
CONCLUSIONS
Lagged associations in other infections preceding rises in current-month HIV counts cannot be described as predictive of HIV outbreaks but may point toward newly discovered epidemics of injection drug use and associated clinical sequalae, prompting clinicians to screen patients more carefully for substance use disorder and associated infections.

Identifiants

pubmed: 36757712
pii: 7033258
doi: 10.1093/cid/ciad073
pmc: PMC10273381
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2134-2139

Subventions

Organisme : NIDA NIH HHS
ID : DP2 DA049282
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI137093
Pays : United States
Organisme : NIDA NIH HHS
ID : R37 DA015612
Pays : United States

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Déclaration de conflit d'intérêts

Potential conflicts of interest. The authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Auteurs

Gregg S Gonsalves (GS)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.

A David Paltiel (AD)

Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.
Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA.

Thomas Thornhill (T)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.

Alfred DeMaria (A)

Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, USA.

Kevin Cranston (K)

Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, USA.

R Monina Klevens (RM)

Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, USA.

Joshua L Warren (JL)

Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.
Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.

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