ArticleEuropean stroke journal2018
Development and internal validation of a prediction rule for post-stroke infection and post-stroke pneumonia in acute stroke patients.
Article in European stroke journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- European stroke organisation guideline on stroke-associated pneumonia.European stroke journal · 2026Guideline
- Development and validation of a nomogram model for prediction of stroke-associated pneumonia associated with intracerebral hemorrhage.BMC geriatrics · 2023Trial
- ICH-LR2S2: a new risk score for predicting stroke-associated pneumonia from spontaneous intracerebral hemorrhage.Journal of translational medicine · 2022Trial
- Trial
- Development and external validation of a risk stratification model for stroke-associated pneumonia.iScience · 2026Article
- Determinants of Ultra-Early Aspiration Pneumonia in Acute Intracerebral Hemorrhage Presenting to the Emergency Department.Journal of clinical medicine · 2025Article
- Elevated initial blood kynurenine is associated with increased odds of post-stroke infection: Kynurenine and post-stroke infection.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025Article
- Comparison of Clinical Scores for Predicting Stroke-Associated Pneumonia After Acute Ischemic Stroke.Aging medicine (Milton (N.S.W)) · 2025Article
- Associations of Inflammatory Markers With Neurological Dysfunction and Prognosis in Patients With Progressive Stroke.European journal of neurology · 2025Article
- Innovative nomogram for predictive risk stratification of aspiration pneumonia in post-stroke dysphagia patients.Frontiers in neurology · 2025Article
- A novel prediction method for intracerebral hemorrhage-associated pneumonia: A single center analysis.PloS one · 2025Article
- Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models.Frontiers in medicine · 2025Article
- Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning.Scientific reports · 2024Article
- Evidence of aberrant anti-epstein-barr virus antibody response, though no viral reactivation, in people with post-stroke fatigue.Journal of inflammation (London, England) · 2024Article
- Fibrinaloid Microclots and Atrial Fibrillation.Biomedicines · 2024Review
- Risk Factors for the Development of Pneumonia in Stroke Patients: A Systematic Review and Meta-Analysis.Cureus · 2024Review
- Prevention of infections and fever to improve outcome in older patients with acute stroke (PRECIOUS): a randomised, open, phase III, multifactorial, clinical trial with blinded outcome assessment.The Lancet regional health. Europe · 2024Article
- Post-Stroke Infections: Insights from Big Data Using Clinical Data Warehouse (CDW).Antibiotics (Basel, Switzerland) · 2023Article
- Effect of alteplase, benzodiazepines and beta-blocker on post-stroke pneumonia: Exploration of VISTA-Acute.PloS one · 2023Article
- Braden scale for predicting pneumonia after spontaneous intracerebral hemorrhage.Revista da Associacao Medica Brasileira (1992) · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPatients with acute stroke are at high risk for infection. These infections are associated with unfavourable outcome after stroke. A prediction rule can identify the patients at the highest risk for strategies to prevent infection. We aim to develop a prediction rule for post-stroke pneumonia and other infections in patients with acute stroke. PATIENTS AND
methodsWe used data from the Preventive Antibiotics in Stroke Study, a multicentre randomised trial comparing preventive ceftriaxone vs. standard stroke care in patients with acute stroke. Possible predictors for post-stroke pneumonia or infection were selected from the literature. Backward elimination logistic regression analysis was used to construct prediction rules for pneumonia or infection. Internal validation was performed and a risk chart was constructed. We adjusted for preventive antibiotic use.
resultsPneumonia was diagnosed in 159 of the 2538 included patients, and infection in 348. Pneumonia was predicted by higher age, male sex, pre-stroke disability, medical history of chronic obstructive pulmonary disease, more severe stroke, dysphagia and intracerebral haemorrhage (rather than ischaemic stroke). Infections were predicted by higher age, male sex, history of diabetes, chronic obstructive pulmonary disease, more severe stroke, dysphagia, use of bladder catheter, preventive antibiotic use and intracerebral haemorrhage. With the prediction rule developed, risks for pneumonia ranged from 0.4% to 56.2% and from 1.8% to 88.0% for infection. Discrimination of the score was good (C-statistic, 0.84; 95% CI: 0.81-0.87 and 0.82; 95% CI: 0.79-0.84 for pneumonia and infection).
conclusionsThe Preventive Antibiotics in Stroke Study pneumonia and infection rule identify patients at the highest risk for post-stroke pneumonia or infection and may be used for future studies and novel therapies, after confirmation in an external population.
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