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Disparities in United States hospitalizations for serious infections in patients with and without opioid use disorder: A nationwide observational study

Kim, June-Ho, Fine, Danielle R., Li, Lily, Kimmel, Simeon D., Ngo, Long H., Suzuki, Joji, Price, Christin N., Ronan, Matthew V., Herzig, Shoshana J.·2020·PLOS Medicine
DOI 10.1371/journal.pmed.1003247PMC PMC7413412
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Crossref · 10.1371/journal.pmed.1003247

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Fig 1 Probability of discharge to home or a post-acute care facility at any given length of stay for US hospitalizations for serious infections in patients with and without opioid use disorder in 2016. Cumulative incidence curves of length of stay to discharge estimated using a competing risks survival analysis model. The event of interest was defined as discharge to home or a post-acute care facility. Competing risks were defined as patient-directed discharge, transfer to another acute care hospital, or in-hospital death.
Fig 1 Probability of discharge to home or a post-acute care facility at any given length of stay for US hospitalizations for serious infections in patients with and without opioid use disorder in 2016. Cumulative incidence curves of length of stay to discharge estimated using a competing risks survival analysis model. The event of interest was defined as discharge to home or a post-acute care facility. Competing risks were defined as patient-directed discharge, transfer to another acute care hospital, or in-hospital death.CC BY · PubMed Central
Fig 2 Adjusted hazard ratios of length of stay until discharge for US hospitalizations for serious infections in patients with and without opioid use disorder in 2016. Hazard ratios are from the Fine–Gray subdistribution hazard regression model, adjusted for age, sex, race/ethnicity, primary payer, median household income, Elixhauser Comorbidity Index, hospital size, hospital type, hospital region, elective versus non-elective admission, weekday versus weekend admission, and the number of major operating room procedures. The model for serious infections also controlled for infection type. The event of interest was defined as discharge to home or a post-acute care facility. Competing risks were defined as patient-directed discharge, transfer to another acute care hospital, or in-hospital death. Hazards ratios were calculated for (A) the analysis of serious infections, (B) a sensitivity analysis of conditions not usually requiring prolonged intravenous access, and (C) a sensitivity analysis stratifying the primary model by hospitalizations with and without major operating room procedures. Unadjusted hazard ratios are found in S4 Table. aHR, adjusted hazard ratio; OR, operating room; OUD, opioid use disorder.
Fig 2 Adjusted hazard ratios of length of stay until discharge for US hospitalizations for serious infections in patients with and without opioid use disorder in 2016. Hazard ratios are from the Fine–Gray subdistribution hazard regression model, adjusted for age, sex, race/ethnicity, primary payer, median household income, Elixhauser Comorbidity Index, hospital size, hospital type, hospital region, elective versus non-elective admission, weekday versus weekend admission, and the number of major operating room procedures. The model for serious infections also controlled for infection type. The event of interest was defined as discharge to home or a post-acute care facility. Competing risks were defined as patient-directed discharge, transfer to another acute care hospital, or in-hospital death. Hazards ratios were calculated for (A) the analysis of serious infections, (B) a sensitivity analysis of conditions not usually requiring prolonged intravenous access, and (C) a sensitivity analysis stratifying the primary model by hospitalizations with and without major operating room procedures. Unadjusted hazard ratios are found in S4 Table. aHR, adjusted hazard ratio; OR, operating room; OUD, opioid use disorder.CC BY · PubMed Central

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Metadata

Authors
Kim, J.-H., Fine, D. R., Li, L., Kimmel, S. D., Ngo, L. H., Suzuki, J., Price, C. N., Ronan, M. V., & Herzig, S. J.
ORCID
Venue
PLOS Medicine
Publisher
Public Library of Science (PLoS)
Published
2020-08-07
Volume
17
Issue
8
Pages
e1003247
ISSN
1549-1676
DOI
10.1371/journal.pmed.1003247
PMC
PMC7413412
Cited by
46
References
2
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • Health Resources and Services Administration (T32HP10251)
  • National Institute on Drug Abuse (R25DA033211, K23DA042326)
  • National Institute of Allergy and Infectious Diseases (5T32AI05207409)
  • National Institute on Aging (K23AG042459)
  • Agency for Healthcare Research and Quality (R01HS026215)

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CoChat. (2026). Citation check: Disparities in United States hospitalizations for serious infections in patients with and without opioid use disorder: A nationwide observational study. https://app.cochat.ai/papers/10.1371/journal.pmed.1003247
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Kim, J.-H., Fine, D. R., Li, L., Kimmel, S. D., Ngo, L. H., Suzuki, J., Price, C. N., Ronan, M. V., & Herzig, S. J. (2020). Disparities in United States hospitalizations for serious infections in patients with and without opioid use disorder: A nationwide observational study. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1003247