ArticleCureus2025
Predictors of In-Hospital Mortality Among Patients With Acute Stroke: 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. Cited by 2 papers.
What it found
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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.
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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.
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Who cites it
2 citing papers in PubMed.
- Analysis of medical costs and two-model prediction for patients with severe mental disorders in Gansu Province, China.Frontiers in public health · 2026Article
- Hospital Readmission and Mortality Among Alcohol-related Cancer Survivors With an Alcohol Use Disorder Diagnosis.Journal of addiction medicineArticle
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
backgroundAcute stroke (cerebral infarction) is a leading cause of morbidity and mortality worldwide, with patient outcomes influenced by demographic factors, comorbidities, and hospital characteristics. This study examines the differences in baseline characteristics, comorbidities, and hospital-related factors between survivors and non-survivors of acute stroke.
methodsThis study analyzed the 2023 Nationwide Readmission Database (NRD) data to identify predictors of in-hospital mortality in acute stroke (cerebral infarction). Patients were identified using the International Classification of Diseases, 10th Revision (ICD-10) codes, and exclusions included missing data, December admissions, and 30-day readmissions. Multivariable logistic regression assessed mortality risk factors, adjusting for demographics, comorbidities, and hospital characteristics (p < 0.05).
resultsNon-survivors had a significantly higher median age (73 years vs. 71 years, p < 0.001) and included a slightly higher proportion of women (48.8% vs. 47.2%, p < 0.001). The prevalence of comorbidities, including cardiac arrest (11.9% vs. 0.7%), heart failure (35.1% vs. 0.7%), and respiratory failure (71.2% vs. 11.7%), was markedly higher among non-survivors (p < 0.001 for all). Hospitalization costs were significantly greater for non-survivors ($122,763.67 vs. $56,497, p < 0.001), and the length of stay was longer (seven days vs. four days, p < 0.001). Most admissions occurred in private non-profit hospitals, with large hospitals treating a higher proportion of non-survivors (p < 0.001).
conclusionThe study highlights critical factors influencing stroke mortality, including advanced age, cardiovascular and metabolic comorbidities, and hospital resource utilization. These findings emphasize the need for early risk stratification, targeted intervention strategies, and equitable healthcare access to improve survival rates among high-risk stroke patients.
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