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Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017
There has been evidence of rising HIV incidence attributable to opioid misuse within some areas of the U.S. The purpose of our study was to explore national trends in co-occurring HIV and opioid-related hospitalizations and to identify their risk factors. We used the 2009–2017 National Inpatient Sam...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199244/ https://www.ncbi.nlm.nih.gov/pubmed/37214165 http://dx.doi.org/10.1016/j.pmedr.2023.102225 |
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author | Khodakarami, Nima Akinlotan, Marvellous A. Callaghan, Timothy Primm, Kristin M. Vadali, Meera Bolin, Jane Ferdinand, Alva O. |
author_facet | Khodakarami, Nima Akinlotan, Marvellous A. Callaghan, Timothy Primm, Kristin M. Vadali, Meera Bolin, Jane Ferdinand, Alva O. |
author_sort | Khodakarami, Nima |
collection | PubMed |
description | There has been evidence of rising HIV incidence attributable to opioid misuse within some areas of the U.S. The purpose of our study was to explore national trends in co-occurring HIV and opioid-related hospitalizations and to identify their risk factors. We used the 2009–2017 National Inpatient Sample to indicate hospitalizations with co-occurring HIV and opioid misuse diagnoses. We estimated the frequency of such hospitalizations per year. We fitted a linear regression to the annual HIV-opioid co-occurrences with year as a predictor. The resulting regression did not reveal any significant temporal changes. We used multivariable logistic regression to determine the adjusted odds (AOR) of hospitalization for co-occurring HIV and opioid-related diagnoses. The odds of hospitalization were lower for rural residents (AOR = 0.28; CI = 0.24–0.32) than urban. Females (AOR = 0.95, CI = 0.89–0.99) had lower odds of hospitalization than males. Patients identifying as White (AOR = 1.23, CI = 1.00–1.50) and Black (AOR = 1.27, CI = 1.02–1.57) had higher odds of hospitalization than other races. When compared to co-occuring hospitalizations in the Midwest, the odds were higher in the Northeast. (AOR = 2.56, CI = 2.07–3.17) Future research should explore the extent to which similar findings occur in the context of mortality and targeted interventions should intesify for subpopulations at highest risk of co-occuring HIV and opioid misuse diagnoses. |
format | Online Article Text |
id | pubmed-10199244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-101992442023-05-21 Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 Khodakarami, Nima Akinlotan, Marvellous A. Callaghan, Timothy Primm, Kristin M. Vadali, Meera Bolin, Jane Ferdinand, Alva O. Prev Med Rep Regular Article There has been evidence of rising HIV incidence attributable to opioid misuse within some areas of the U.S. The purpose of our study was to explore national trends in co-occurring HIV and opioid-related hospitalizations and to identify their risk factors. We used the 2009–2017 National Inpatient Sample to indicate hospitalizations with co-occurring HIV and opioid misuse diagnoses. We estimated the frequency of such hospitalizations per year. We fitted a linear regression to the annual HIV-opioid co-occurrences with year as a predictor. The resulting regression did not reveal any significant temporal changes. We used multivariable logistic regression to determine the adjusted odds (AOR) of hospitalization for co-occurring HIV and opioid-related diagnoses. The odds of hospitalization were lower for rural residents (AOR = 0.28; CI = 0.24–0.32) than urban. Females (AOR = 0.95, CI = 0.89–0.99) had lower odds of hospitalization than males. Patients identifying as White (AOR = 1.23, CI = 1.00–1.50) and Black (AOR = 1.27, CI = 1.02–1.57) had higher odds of hospitalization than other races. When compared to co-occuring hospitalizations in the Midwest, the odds were higher in the Northeast. (AOR = 2.56, CI = 2.07–3.17) Future research should explore the extent to which similar findings occur in the context of mortality and targeted interventions should intesify for subpopulations at highest risk of co-occuring HIV and opioid misuse diagnoses. 2023-05-09 /pmc/articles/PMC10199244/ /pubmed/37214165 http://dx.doi.org/10.1016/j.pmedr.2023.102225 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Khodakarami, Nima Akinlotan, Marvellous A. Callaghan, Timothy Primm, Kristin M. Vadali, Meera Bolin, Jane Ferdinand, Alva O. Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 |
title | Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 |
title_full | Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 |
title_fullStr | Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 |
title_full_unstemmed | Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 |
title_short | Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009–2017 |
title_sort | factors associated with hospitalizations for co-occurring hiv and opioid-related diagnoses: evidence from the national inpatient sample, 2009–2017 |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199244/ https://www.ncbi.nlm.nih.gov/pubmed/37214165 http://dx.doi.org/10.1016/j.pmedr.2023.102225 |
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