ArticleCureus2025
Predictors of Mortality Among Patients With Opioid Use Disorder: Insights From the Healthcare Cost and Utilization Project (HCUP) Nationwide Readmission Database.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOpioid use disorder (OUD) is associated with significantly increased mortality rates compared to the general population, driven by overdose risk, high-risk behaviors, and comorbid conditions. While opioid agonist treatment reduces mortality, identifying risk factors for death among individuals with OUD remains critical for improving outcomes.
methodsA retrospective analysis of the 2020 National Readmission Database identified OUD admissions using International Classification of Diseases, 10th Revision, Clinical Modification codes. Patients over 18 years of age were included, and statistical analyses, including logistic regression, assessed 30-day readmission and mortality predictors. Data were analyzed using IBM Statistical Package for the Social Sciences Statistics for Windows, version 1.0.0.1327 (IBM Corp., Armonk, NY).
resultsNonsurvivors were generally older (median age: 58 vs. 47 years) and had a higher prevalence of severe comorbidities, including cardiac arrest (24.1% vs. 0.4%, p < 0.001), respiratory failure (83.0% vs. 16.2%, p < 0.001), and acute kidney injury (61.9% vs. 16.8%, p < 0.001). Mortality was more common among patients with Medicare (44.4% vs. 31.7%) and in larger hospitals. Psychiatric conditions, such as depression and suicidal ideation, were more frequent in survivors, suggesting potential protective effects or earlier intervention. Multivariable analysis identified cardiac arrest (odds ratio, OR: 20.210, p < 0.001), respiratory failure (OR: 9.993, p < 0.001), and liver failure (OR: 4.298, p < 0.001) as the strongest mortality predictors, while female sex and psychiatric disorders were associated with lower mortality risk.
conclusionMortality among patients with OUD is influenced by age, comorbidities, hospital characteristics, and healthcare disparities. Integrated care approaches that address both medical and psychiatric conditions are essential for improving survival outcomes. Future research should focus on targeted interventions to mitigate high-risk factors and enhance harm reduction strategies for this vulnerable population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.