ArticleFrontiers in neurology2023
Predictive value of the Oxford Acute Severity of Illness Score in acute stroke patients with stroke-associated pneumonia.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Effect of a Comprehensive Mobile-Based Respiratory Training Program on Respiratory Function in Survivors of Acute Stroke: Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Development of a mortality prediction nomogram for dementia patients using the MIMIC-IV database.Scientific reports · 2026Article
- Early prediction of in-hospital acute brain injury following cardiac arrest using machine learning: development and external validation.Frontiers in neurology · 2026Article
- Predictive value of seven scoring systems for 28-day mortality in ICU patients with Sleep apnea-hypopnea syndrome (SAHS) and clinical indicators.European journal of medical research · 2025Article
- Comparison of Intensive Care Scoring Systems in Predicting Overall Mortality of Sepsis.Diagnostics (Basel, Switzerland) · 2025Article
- Nonlinear association between hematocrit levels and short-term all-cause mortality in ICU patients with acute pancreatitis: insights from a retrospective cohort study.BMC gastroenterology · 2025Article
- Association between blood triglycerides and stroke-associated pneumonia: a prospective cohort study.BMC neurology · 2025Article
- Development and validation of a risk prediction model for consciousness disorders in stroke patients in the intensive care unit (ICU): a retrospective study.Frontiers in medicine · 2025Article
- Nucleated red blood cell distribution in critically ill patients with acute pancreatitis: a retrospective cohort study.BMC gastroenterology · 2024Article
- Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach.Digital healthArticle
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6 authors.
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Abstract
Background: Stroke-associated pneumonia (SAP) is associated with a poor prognosis and a high mortality rate in stroke patients. However, the accuracy of early prediction of SAP is insufficient, and there is a lack of effective prognostic evaluation methods. Therefore, in this study, we investigated the predictive value of the Oxford Acute Severity of Illness Score (OASIS) in SAP to provide a potential reference index for the incidence and prognosis of SAP. Methods: We recruited a total of 280 patients with acute ischemic stroke who had been diagnosed and treated in the Zhumadian Central Hospital between January 2021 and January 2023. These patients were divided into an SAP group (86 cases) and a non-SAP group (194 cases) according to SAP diagnostic criteria by expert consensus on the diagnosis and treatment of SAP. We collated general and clinical data from all patients, including the survival of SAP patients during the follow-up period. Multivariate logistic regression was used to analyze the risk factors for SAP. Kaplan-Meier and multivariate COX regression analyses were used to investigate the relationship between OASIS and the prognosis of SAP, and a receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of OASIS for SAP. Results: Our analyses identified body temperature, C-reactive protein, procalcitonin, OASIS, and a prolonged length of intensive care unit (ICU) stay as the main risk factors for SAP (all Conclusion: OASIS can effectively predict the onset and death of SAP patients and provides a potential reference index for early diagnosis and the prediction of prognosis in patients with SAP. Our findings should be considered in clinical practice.
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